JP5641584B2 - Electric device discriminating apparatus, electric device discriminating system, electric device discriminating method, and program - Google Patents

Description

  The present invention relates to an electric device discriminating apparatus, an electric device discriminating system, and an electric device discriminating method used for discriminating the type of electric device being used.

  In recent years, companies and the like have been introducing energy management systems in order to manage power consumption of air-conditioning equipment, lighting equipment, OA equipment, and the like and suppress wasteful power consumption. The energy management system first determines the type of electric device used in the office, and measures the amount of power consumption for each determined electric device. Thereafter, the energy management system uses the measurement result to determine whether, for example, power consumption is not wasted or an abnormality has occurred in the electrical device (for example, Patent Documents 1 to 3). reference.).

  Patent Document 1 discloses a system including a detection device that detects a feature amount of an electric device and a management device. In the system disclosed in Patent Document 1, each detection device is installed between a corresponding electrical device and a power source. Each detection device detects the current and voltage supplied to the corresponding electrical device, and based on the detection result, represents the magnitude of the current, the current waveform, the time difference between the peak of the current and the voltage, etc. The feature amount is calculated, and data (feature amount data) specifying the calculated electrical feature amount is transmitted to the management apparatus.

  The management device receives the feature amount data transmitted by each detection device, collates the feature amount data with a database in which the feature amount data for each electrical device is registered in advance, and Identify the device type (model). Then, the management device calculates the power consumption of the electrical device from the power consumption per unit time registered in advance for the specified model and the reception time of the feature data, and the calculation result is displayed on the display screen. indicate.

  Patent Document 2 discloses a system configured by an outlet and a management device installed between an electric device and a power source. In the system disclosed in Patent Literature 2, the outlet functions in the same manner as the detection device disclosed in Patent Literature 1. The outlet detects the current and voltage supplied to the electrical device, calculates a feature value from the detection result, and transmits the calculated feature value to the management server.

  The management apparatus disclosed in Patent Document 2 functions in the same manner as the management apparatus disclosed in Patent Document 1, but further includes a learning function. That is, according to Patent Document 2, when a feature amount for a new electrical device is transmitted, the management apparatus can perform learning by registering the feature amount in a database.

  In addition, Non-Patent Documents 1 and 2 also calculate the feature amount from the waveform of the current supplied to the electric device, and determine the type of the electric device based on the calculated feature amount, similarly to Patent Documents 1 and 2. The technology is disclosed.

JP 2004-222375 A JP 2008-109849 A

Masahito Ito, Toshiyuki Otsuki, Satoshi Inoue, Hiroshi Shigeno, Kenichi Okada, Atsushi Matsushita, "Home Appliance Detection Method and Control System Using Characteristics of Power Consumption Waveform", Transactions of Information Processing Society of Japan Vol.44 (No.1) 2003, pp.95-105 Akio Tanaka, Chiharu Murakoshi, Hidetoshi Nakagami, “Element Decomposition Method for Power Load Measurements in Homes”, Energy and Resources Society, Proc. 12th Energy System / Economic / Environmental Conference, 1996, pp.91- 94

  By the way, as described above, in Patent Document 1, Patent Document 2, Non-Patent Document 1, and Non-Patent Document 2, discrimination processing of the type of electrical equipment is performed. Only done on the basis of. For this reason, although it works differently, it becomes difficult to distinguish a plurality of electrical devices each having an electrically similar circuit by the above-described discrimination processing.

  An example of an object of the present invention is to solve the above-described problem and to discriminate the type of electric equipment with high accuracy even when it is difficult to discriminate only with the electric feature amount. The object is to provide a system, a method for discriminating electrical equipment, and a program.

In order to achieve the above object, an electrical equipment discriminating apparatus according to one aspect of the present invention is an apparatus for discriminating the type of electrical equipment,
Acquire at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, and based on the acquired measurement result, determine the electrical feature amount of the electrical device to be determined. A feature amount calculation unit for calculating,
A candidate selection unit that compares the calculated electrical feature value with an electrical feature value set in advance for each type of electrical device, and selects a candidate for the type of electrical device to be determined; and
Among the selected candidates, a device discriminating unit that discriminates the type of the electric device to be discriminated based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device,
It is characterized by having.

In order to achieve the above object, an electrical equipment determination system according to an aspect of the present invention is a system for determining the type of electrical equipment, and includes an electrical equipment determination device and a management device.
The electrical equipment discrimination device is
Acquire at least one measurement result of voltage, current, and power supplied to the electrical device to be discriminated, and calculate the electrical feature amount of the electrical device to be discriminated based on the obtained measurement result A feature amount calculation unit;
A candidate selection unit that compares the calculated electrical feature value with an electrical feature value set in advance for each type of electrical device, and selects a candidate for the type of electrical device to be determined; and With
The management device determines the type of the electric device to be determined based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device from the candidates selected by the electric device determination device. It is characterized by that.

In order to achieve the above object, an electrical device determination method according to one aspect of the present invention is a method for determining the type of electrical device,
(A) Acquire at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, and based on the acquired measurement result, the electrical of the electrical device to be determined Calculating features, steps;
(B) The electrical feature amount calculated in the step (a) is compared with an electrical feature amount set in advance for each type of electrical device, and the type of electrical device to be discriminated is determined. Selecting candidates, steps,
(C) From the candidates selected in the step (b), determining the type of the electric device to be determined based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device. And a step.

Furthermore, in order to achieve the above object, a program according to one aspect of the present invention is a program for determining a type of an electrical device by a computer,
In the computer,
(A) Acquire at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, and based on the acquired measurement result, the electrical of the electrical device to be determined Calculating features, steps;
(B) The electrical feature amount calculated in the step (a) is compared with an electrical feature amount set in advance for each type of electrical device, and the type of electrical device to be discriminated is determined. Selecting candidates, steps,
(C) From the candidates selected in the step (b), determining the type of the electric device to be determined based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device. Steps,
Is executed.

  As described above, according to the present invention, it is possible to accurately determine the type of an electric device even when it is difficult to determine only with an electrical feature amount.

FIG. 1 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 1 of the present invention. FIG. 2 is a diagram illustrating an example of the electrical feature amount registered in the feature amount database used in Embodiment 1 of the present invention. FIG. 3 is a diagram showing an example of appearance coefficients registered in the appearance coefficient database used in Embodiment 1 of the present invention. FIG. 4 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 1 of the present invention. FIG. 5 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 2 of the present invention. FIG. 6 is a diagram showing an example of the operating coefficient registered in the operating coefficient database used in the second embodiment of the present invention. FIG. 7 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 2 of the present invention. FIG. 8 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 3 of the present invention. FIG. 9 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 3 of the present invention. FIG. 10 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 4 of the present invention. FIG. 11 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 4 of the present invention. FIG. 12 is a flowchart showing the operation of the management apparatus according to the fourth embodiment of the present invention. FIG. 13 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 5 of the present invention. FIG. 14 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 5 of the present invention. FIG. 15: is a block diagram which shows an example of the computer which implement | achieves the electric equipment discrimination | determination apparatus in Embodiment 1-5 of this invention.

(Embodiment 1)
Hereinafter, an electrical device determination apparatus, an electrical device determination method, and a program according to Embodiment 1 of the present invention will be described with reference to FIGS.

[Device configuration]
Initially, the structure of the electric equipment discrimination device in this Embodiment 1 is demonstrated using FIG. FIG. 1 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 1 of the present invention.

  As shown in FIG. 1, the electrical device discriminating apparatus 101 according to the first embodiment is a device for discriminating the type of electrical equipment, and includes feature quantity calculation units 10 a and 10 b, a candidate selection unit 20, and a device discrimination. Part 30.

  The feature quantity calculation units 10a and 10b acquire at least one measurement result among the current, voltage, and power supplied to the electrical device to be determined, and based on the acquired measurement result, the electrical to be determined Calculate the electrical features of the device. In the present embodiment, the feature amount calculation unit 10a corresponds to the electric device 1a, and the feature amount calculation unit 10b corresponds to the electric device 1b.

  In the example of FIG. 1, two examples of the electric device 1 a and the electric device 1 b are illustrated as objects to be discriminated, but the number of electric machine devices is not limited in the first embodiment. In the first embodiment, a feature amount calculation unit is provided according to the number of electrical devices to be discriminated.

  In addition, the candidate selection unit 20 collates the electrical feature amount calculated by each of the feature amount calculation units 10a and 10b with an electrical feature amount set in advance for each type (model) of the electrical device. And the candidate selection part 20 selects the candidate of the kind of electric equipment used as discrimination | determination object based on a collation result.

  The device discriminating unit 30 selects the types of the electric devices 1a and 1b to be discriminated from the candidates selected by the candidate selecting unit 20 based on the appearance coefficient indicating the possibility of appearance for each situation in each electric device. Determine. In the present embodiment, the appearance coefficient is set so that the value increases as the possibility of appearance increases.

  As described above, in this embodiment, since the appearance coefficient preset for each situation for each electrical device is used in addition to the electrical feature amount in the determination of the type of the electrical device, the function is different, but Therefore, it becomes easy to distinguish a plurality of electrical devices having similar circuits. That is, according to the present embodiment, it is possible to accurately determine the type of the electric device even when it is difficult to determine only with the electrical feature amount.

  Here, in addition to FIG. 1, FIG. 2 and FIG. 3 will be used to describe the configuration of the electric appliance discriminating apparatus 101 in the first embodiment more specifically. First, in the first embodiment, the electrical device is not particularly limited, and may be any device that consumes power. Specific examples include a desktop personal computer (desktop PC), a notebook personal computer (notebook PC), a liquid crystal television, a lighting device, a copier, a facsimile machine, a printer, an air conditioner, and the like.

  In the first embodiment, as will be described later, the electrical device discriminating apparatus 101 is constructed by a computer and further connected to the measuring device 3a and the measuring device 3b. Among these, the measuring device 3a is disposed on a power supply line connecting the power source 2 and the electric device 1a, and measures and measures at least one of current, voltage, and power supplied to the electric device 1a. The result is output to the electric device discriminating apparatus 101. Moreover, the measuring device 3b is arrange | positioned on the power supply line which connects the power supply 2 and the electric equipment 1b, measures at least 1 among the electric current, the voltage, and the electric power which are supplied to the electric equipment 1b, and a measurement result Is output to the electric device discriminating apparatus 101. Note that the number of measuring devices is not limited, and the measuring devices are installed according to the number of electrical devices to be discriminated.

  In the present embodiment, the measuring devices 3a and 3b both measure current, voltage, and power regularly at set intervals, for example, about 100 ms at 0.1 ms intervals. And the measuring devices 3a and 3b output a measurement result to the corresponding feature amount calculation unit at every measurement. Specifically, the measuring devices 3a and 3b respectively include current information (ex. 0.40 [A], 0.41 [A], 0.42 [A], 0.43 [A], 0.45 [A],. ..), voltage information (ex.80.0 [V], 81.2 [V], 82.3 [V], 83.5 [V], 84.7 [V], ...) specifying the voltage value, and specifying the power value The power information (ex.32.0 [VA], 33.3 [VA], 34.6 [VA], 35.9 [VA], 38.1 [VA],...) Is output to the corresponding feature amount calculation unit.

  The measurement result output from the measuring devices 3a and 3b to the electrical device discriminating device 101 may be performed by wire or wirelessly. Furthermore, the measuring devices 3a and 3b may be devices independent of the electric device discriminating device 101, or may be expansion boards connected to the slots of the computer in which the electric device discriminating device 101 is constructed.

  In the present embodiment, specific examples of the electrical feature amount calculated by the feature amount calculation units 10a and 10b include current effective value, current peak value, current kurtosis, crest factor, minimum power value, and voltage. Examples include a current phase shift, a ratio between a current effective value and a minimum power value, a power factor, and the like. The feature quantity calculation units 10a and 10b calculate at least one of the above specific examples.

  Furthermore, in the present embodiment, the electrical device discriminating apparatus 101 includes a feature amount database 40, an appearance coefficient database, in addition to the feature amount calculation unit 10a, the feature amount calculation unit 10b, the candidate selection unit 20, and the device determination unit 30. 50. In addition, an output device 60 such as a display device or a printer is connected to the electrical device determination device 101.

  Among these, as shown in FIG. 2, the feature quantity database 40 registers the above-described electrical feature quantities for each type (model) of electrical equipment. Therefore, in the first embodiment, the candidate selection unit 20 collates the electrical feature amount calculated by the feature amount calculation unit with the feature amount database 40 and selects a model candidate. Note that the selection of candidates is performed for each of the electric devices 1a and 1b. FIG. 2 is a diagram illustrating an example of the electrical feature amount registered in the feature amount database used in Embodiment 1 of the present invention.

  In addition, the appearance coefficient database 50 registers appearance coefficients set in advance for each situation for each electrical device. In the first embodiment, since there are a plurality of electric devices to be discriminated, the appearance coefficient is 2 included in each combination including two or more electric devices as shown in FIG. A coefficient indicating the possibility of using the above electrical devices at the same time is used.

FIG. 3 is a diagram showing an example of appearance coefficients registered in the appearance coefficient database used in Embodiment 1 of the present invention. For example, since a desktop PC and a liquid crystal display are likely to be used at the same time, there is a high possibility that this combination is used. Therefore, as shown in FIG. 3, the appearance coefficient for the combination of the desktop PC and the liquid crystal display is set to the highest value “3”. On the other hand, the combination of a heater and a cooler, since both unlikely to be used at the same time, the appearance coefficient for this combination is set to the lowest value "0.1".

  Moreover, in this Embodiment 1, the apparatus discrimination | determination part 20 selects one combination from the combinations containing each candidate of the electric equipment 10a and 10b based on the appearance coefficient shown in FIG. 3, and selected combination Are determined as the types of the electric devices 10a and 10b.

[Device operation]
Next, the operation of the electrical device determination apparatus 101 according to Embodiment 1 of the present invention will be described with reference to FIG. FIG. 4 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 1 of the present invention. In the following description, FIGS. Moreover, in this Embodiment 1, the electric equipment discriminating method is implemented by operating the electric equipment discriminating apparatus 101. Therefore, the description of the electrical device determination method in the first embodiment is replaced with the following description of the operation of the electrical device determination apparatus 101.

  First, as a premise, electric power is supplied from the power source 2 to the electric devices 1a and 1b, and the electric devices 1a and 1b operate. Then, the measuring devices 3a and 3b measure the voltage, current, and power, and output the measurement results to the corresponding feature amount calculation unit at set intervals.

  As illustrated in FIG. 4, the feature amount calculation units 10a and 10b acquire voltage information, current information, and power information as measurement results from the corresponding measurement devices (step S11). Next, the feature quantity calculation units 10a and 10b calculate the electrical feature quantity of the electrical device to be determined based on the acquired voltage information, current information, and power information (step S12).

  Specifically, in step S12, the feature amount calculation units 10a and 10b each have, as electrical feature amounts, current effective value, current peak value, current kurtosis, crest factor, minimum power value, and phase of current with respect to voltage. Deviation, the ratio between the current effective value and the minimum power value, and the power factor are calculated. As an example of the calculated electric feature amount, [effective current value = 0.6 A, current peak = 0.84 A, current kurtosis = 1.2, crest factor = 1.5, minimum power value = −2 VA, The phase shift of the current with respect to the voltage = 0.2 ms, the ratio between the current effective value and the minimum power value = −3.3, the power factor = 0.98, and the like.

  Next, the candidate selection unit 20 collates the feature quantity calculated by the corresponding feature quantity calculation unit for each of the electric devices 1a and 1b with the feature quantity database 40 (see FIG. 2), and based on the matching result. Then, a candidate for the type of electrical equipment is selected (step S13).

  Specifically, the candidate selection unit 20 uses the feature amount obtained in step S12 to obtain a representative point of each model for each model of the electrical device (see FIG. 2) registered in the feature amount database 40. Then, the Euclidean distance to the electrical device to be discriminated is calculated. And the candidate selection part 20 selects the model of an electric equipment as a candidate by the set number in order with the small calculated Euclidean distance. The candidate selection process (matching process) described above is an example, and other selection processes may be used in the first embodiment.

  For example, in the example of FIG. 2, the calculation result of the Euclidean distance is “3.45” for the desktop PC-1, “6.23” for the notebook PC-1, “5.00” for the liquid crystal television-1, and the electric fan − 1 is 40.8. In this case, the candidate selection unit 20 selects the desktop PC-1 as the first candidate, the liquid crystal television-1 as the second candidate, and the notebook PC-1 as the third candidate in ascending order of the Euclidean distance.

  Next, the device determination unit 30 determines the model of each of the electric devices 1a and 1b from the candidates selected in step S13 based on the appearance coefficient (see FIG. 3) (step S14). In addition, as shown in FIG. 3, the appearance coefficient for each combination of electrical devices is registered in the appearance coefficient database 50.

  Specifically, the device determination unit 30 first selects a candidate from each of the candidate for the electrical device 1a and the candidate for the electrical device 1b, and sets a combination. Next, for each combination, the device determination unit 30 obtains the square of the Euclidean distance (see step S13) of each candidate included in each combination, and adds the obtained values. Furthermore, the device determination unit 30 divides the addition value obtained for each combination by the appearance coefficient corresponding to each combination (see FIG. 3), identifies the combination that minimizes the division value, It is determined as the model of the electric devices 1a and 1b.

  For example, desktop PC-1 (Euclidean distance: 2), liquid crystal television-1 (Euclidean distance: 4), and third candidate notebook PC-1 (Euclidean distance: 6) are selected as candidates for the electrical device 1a. And Further, it is assumed that the liquid crystal television-1 (Euclidean distance: 3), the liquid crystal display-1 (Euclidean distance: 4), and the notebook PC (Euclidean distance: 6) are selected as candidates for the electrical device 1b.

  In the above case, the division value is “26” for the combination of the desktop PC-1 and the liquid crystal television-1, and is “6.7” for the combination of the desktop PC-1 and the liquid crystal display-1. As a result, the device discriminating unit 30 specifies the combination of the desktop PC-1 and the liquid crystal display 1, determines the model of the electrical device 1a as the desktop PC-1, and determines the model of the electrical device 1b as the liquid crystal display-1. To do. Note that the above-described model discrimination process is an example, and other discrimination processes may be used in the first embodiment.

  Thereafter, the device determination unit 30 outputs the result of step S14 to the output device 60 (step S15). Thereby, the model name of the electric device 1a and the model name of the electric device 1b are displayed on the screen of the output device 60. By executing step S15, the processing in the electrical device determination apparatus 101 is temporarily terminated. Note that steps S11 to S15 may be repeatedly executed after the set time has elapsed.

[program]
The program in the first embodiment may be a program that causes a computer to execute steps S11 to S15 shown in FIG. By installing and executing this program on a computer, it is possible to realize the electrical device determination apparatus 101 and the electrical device determination method according to the first embodiment. In this case, a CPU (Central Processing Unit) of the computer functions as the feature amount calculation unit 10a, the feature amount calculation unit 10b, the candidate selection unit 20, and the device determination unit 30, and performs processing. Further, the feature amount database 40 and the appearance coefficient database 50 are constructed in a storage area of a storage device such as a hard disk provided in the computer.

[Effects of Embodiment 1]
As described above, according to the first embodiment, in the determination of the type of electric device, the possibility of using a plurality of electric devices at the same time is considered in addition to the electric feature amount. Therefore, even when a plurality of electrical devices having similar electrical feature quantities are listed as candidates, it is possible to reliably identify which one is the candidate. According to the first embodiment, it is possible to accurately determine the type of the electric device even when it is difficult to determine only with the electrical feature amount.

(Embodiment 2)
Next, an electrical device determination apparatus, an electrical device determination method, and a program according to Embodiment 2 of the present invention will be described with reference to FIGS.

[Device configuration]
Initially, the structure of the electric equipment discrimination device in this Embodiment 2 is demonstrated using FIG. FIG. 5 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 2 of the present invention.

  As illustrated in FIG. 5, the electrical device determination device 102 according to the second exemplary embodiment includes a candidate selection unit 21 and an operation coefficient database 41, unlike the electrical device determination device 101 illustrated in FIG. 1. The candidate selection unit 21 is different from the candidate selection unit 20 shown in FIG. 1 in the candidate selection process. Hereinafter, differences from the first embodiment will be specifically described. Note that the electrical device determination apparatus 102 according to the second embodiment is configured in the same manner as the electrical device determination apparatus 101 according to the first embodiment except for the above points.

  In the second embodiment, the candidate selection unit 21 selects a candidate for the type of electrical device to be determined using an operation coefficient in addition to the electrical feature amount. The operating coefficient is a coefficient indicating the possibility that the electrical device is operating for each situation, and is registered in the operating coefficient database 41.

  FIG. 6 is a diagram showing an example of the operating coefficient registered in the operating coefficient database used in the second embodiment of the present invention. As shown in FIG. 6, the operating coefficient database 41 registers operating coefficients for each situation for each electrical device. In the example of FIG. 6, the situation is divided into five categories: “night”, “daytime”, “low temperature period (winter)”, “medium temperature period (spring / autumn)”, and “high temperature period (summer)”. .

  For example, if the model is a dual-income household, the daytime is a time when there are no people, and it is unlikely that the TV, heater, and cooler are operating at this time. The value is lower than the value of the nighttime operating coefficient. Although not illustrated in FIG. 6, the refrigerator and the recorder are more likely to be operating even during the daytime of the above model.

  In addition, since the operation rate of the cooler is highest in the high temperature period (summer season), the value of the operation coefficient in the high temperature period (summer season) of the cooler is also increased. On the other hand, since the operating rate of the heater is the lowest in the high temperature period (summer season), the value of the operation coefficient in the high temperature period (summer season) of the heater is also low.

[Device operation]
Next, the operation of the electrical device determination apparatus 102 according to Embodiment 2 of the present invention will be described with reference to FIG. FIG. 7 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 2 of the present invention. In the following description, FIGS. 5 and 6 are referred to as appropriate. In the second embodiment, the electrical device determination method is performed by operating the electrical device determination device 102. Therefore, the description of the electrical device determination method in the second embodiment is replaced with the following description of the operation of the electrical device determination apparatus 101.

  First, also in the second embodiment, as in the first embodiment, as a premise, electric power is supplied from the power source 2 to the electric devices 1a and 1b, and the electric devices 1a and 1b are operated. Then, the measuring devices 3a and 3b measure the voltage, current, and power, and output the measurement results to the corresponding feature amount calculation unit at set intervals.

  As illustrated in FIG. 7, the feature amount calculation units 10a and 10b acquire voltage information, current information, and power information as measurement results from the corresponding measurement devices (step S21). Next, the feature quantity calculators 10a and 10b calculate the electrical feature quantity of the electrical device to be determined based on the acquired voltage information, current information, and power information (step S22). Steps S21 and S22 are executed in the same manner as steps S11 and S12 shown in FIG.

  Next, the candidate selection unit 21 first uses the feature amount calculated by the corresponding feature amount calculation unit, the feature amount database 40, and the operation coefficient database 41 for each of the electrical devices 1a and 1b, A device type candidate is selected (step S23).

  Specifically, the candidate selection unit 21 uses the feature value obtained in step S22 to display the representative point of each model for each model (see FIG. 2) of the electrical device registered in the feature value database 40. Then, the Euclidean distance to the electrical device to be discriminated is calculated. Subsequently, the candidate selection unit 21 divides the Euclidean distance for each model by the operating coefficient registered in the operating coefficient database 41, and sets the division value as a new Euclidean distance for each model.

  For example, when the Euclidean distance of the electric fan is calculated as “5” by the feature amount database (see FIG. 2), if it is currently midday in the middle temperature period, the new Euclidean distance is 100 (= 5 / 0.1 / 0.5).

  Next, the device determination unit 30 determines the model of each of the electrical devices 1a and 1b from the candidates selected in step S23 based on the appearance coefficient (see FIG. 3) (step S24). Step S24 is executed in the same manner as step S14 shown in FIG.

  Thereafter, the device determination unit 30 outputs the result of step S24 to the output device 60 (step S25). Step S25 is executed in the same manner as step S15 shown in FIG. Thereby, the model name of the electric device 1a and the model name of the electric device 1b are displayed on the screen of the output device 60. With the execution of step S25, the processing in the electrical device determination apparatus 102 is temporarily terminated. Note that steps S21 to S25 may be repeatedly executed after the set time has elapsed.

[program]
The program in the second embodiment may be a program that causes a computer to execute steps S21 to S25 shown in FIG. By installing and executing this program on a computer, it is possible to realize the electrical device determination apparatus 102 and the electrical device determination method according to the second embodiment. In this case, a CPU (Central Processing Unit) of the computer functions as the feature amount calculation unit 10a, the feature amount calculation unit 10b, the candidate selection unit 21, and the device determination unit 30, and performs processing. In addition, a feature quantity database 40, an appearance coefficient database 50, and an operation coefficient database 41 are constructed in a storage area of a storage device such as a hard disk provided in the computer.

[Effects of Embodiment 2]
As described above, according to the second embodiment, selection of candidates can be performed with higher accuracy than in the first embodiment. Therefore, according to the second embodiment, it is possible to determine the type of the electric device with higher accuracy when it is difficult to determine only with the electrical feature amount.

(Embodiment 3)
Next, an electrical device determination device, an electrical device determination method, and a program according to Embodiment 3 of the present invention will be described with reference to FIG.

[Device configuration]
Initially, the structure of the electric equipment discrimination device in this Embodiment 3 is demonstrated using FIG. FIG. 8 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 3 of the present invention.

  As shown in FIG. 8, the electrical device discriminating apparatus 103 according to the third embodiment is connected to the measuring device 4 unlike the electrical device discriminating apparatus 101 shown in FIG. 1, and therefore has the characteristics shown in FIG. A feature quantity calculation unit 11 is provided instead of the quantity calculation units 10a and 10b. Similarly to the electrical device discriminating apparatus 102 in the second embodiment shown in FIG. 5, the electrical device discriminating apparatus 103 also includes a candidate selection unit 21 and an operation coefficient database 41.

  Hereinafter, differences from the first and second embodiments will be specifically described. Note that the electrical device determination apparatus 103 according to the third embodiment is configured in the same manner as the electrical device determination apparatus 101 according to the first embodiment except for the above points.

  In the third embodiment, as shown in FIG. 8, both the electric devices 1 a and 1 b to be determined are connected to the measuring device 4. That is, the measuring device 4 is arranged on two of a power supply line connecting the power supply 2 and the electric device 1a and a power supply line connecting the power supply 2 and the electric device 1b. The measurement device 4 measures at least one of current, voltage, and power for each electric device, and outputs the measurement result to the electric device determination device 103.

  Specifically, as shown in FIG. 8, the measuring device 4 includes an input switching unit 4a and a measuring unit 4b. Among these, the input switching unit 4a switches the input of the measuring unit 4b periodically or in response to an instruction from the outside, and connects the measuring unit 4b to any one of the power supply lines. The measurement unit 4b includes at least one of an ammeter, a voltmeter, and a voltmeter, measures at least one of current, voltage, and power supplied to the connected power supply line, and obtains a measurement result. Is output to the feature amount calculation unit 11.

  In addition, the feature amount calculation unit 11 acquires and acquires at least one measurement result among the current, voltage, and power supplied to the electrical device to be determined, similar to the feature amount calculation units 10a and 10b. Based on the measurement result, the electrical feature amount of the electrical device to be discriminated is calculated. However, in the third embodiment, the feature quantity calculation unit 11 calculates the electrical feature quantity for each electrical device in accordance with the switching by the input switching unit 4a.

[Device operation]
Next, the operation | movement of the electric equipment discrimination | determination apparatus 103 in Embodiment 3 of this invention is demonstrated using FIG. FIG. 9 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 3 of the present invention. In the following description, FIG. 8 is taken into consideration as appropriate. Moreover, in this Embodiment 3, the electric equipment discrimination | determination method is implemented by operating the electric equipment discrimination | determination apparatus 103. FIG. Therefore, the description of the electrical device determination method according to the third embodiment is replaced with the following description of the operation of the electrical device determination device 103.

  First, also in the third embodiment, as in the first embodiment, as a premise, electric power is supplied from the power source 2 to the electric devices 1a and 1b, and the electric devices 1a and 1b are operated. However, in the third embodiment, the measurement device 4 first selects one electrical device, measures the voltage, current, and power of the selected electrical device, and supports the measurement results at set intervals. Output to the feature amount calculation unit.

  As illustrated in FIG. 9, the feature amount calculation unit 11 acquires voltage information, current information, and power information as measurement results from the measurement unit 4 b of the measurement device 4 (step S <b> 31). Next, the feature quantity calculation unit 11 calculates the electrical feature quantity of the electrical device to be determined based on the acquired voltage information, current information, and power information (step S32). Steps S31 and S32 are executed in the same manner as steps S11 and S12 shown in FIG.

  Next, the feature amount calculation unit 11 determines whether or not Steps S31 and S32 are executed for all electric devices (electric devices 1a and 1b in the example of FIG. 8) (Step S33). As a result of the determination in step S33, when steps S31 and S32 have not been executed for all the electric devices, the feature amount calculation unit 11 again performs the step for the electric devices for which steps S31 and S32 have not been executed. S31 and S32 are executed.

  On the other hand, if the result of determination in step S33 is that steps S31 and S32 have been executed for all electrical devices, the feature quantity calculation unit 11 notifies the candidate selection unit 21 of that. Accordingly, the candidate selection unit 21 first uses the feature amount calculated by the feature amount calculation unit 11, the feature amount database 40, and the operation coefficient database 41 for each of the electrical devices 1a and 1b. Are selected (step S34). Step S34 is executed similarly to step S23 shown in FIG.

  Next, the device determination unit 30 determines the model of each of the electrical devices 1a and 1b based on the appearance coefficient (see FIG. 3) from the candidates selected in step S34 (step S35). Step S35 is executed similarly to step S14 shown in FIG.

  Thereafter, the device determination unit 30 outputs the result of step S35 to the output device 60 (step S36). Step S36 is executed similarly to step S15 shown in FIG. Thereby, the model name of the electric device 1a and the model name of the electric device 1b are displayed on the screen of the output device 60. With the execution of step S36, the processing in the electrical device determination apparatus 103 is temporarily terminated. Note that steps S31 to S36 may be repeatedly executed after the set time has elapsed.

[program]
The program in the third embodiment may be a program that causes a computer to execute steps S31 to S36 shown in FIG. By installing and executing this program on a computer, it is possible to realize the electrical device determination apparatus 103 and the electrical device determination method according to the third embodiment. In this case, a CPU (Central Processing Unit) of the computer functions as the feature amount calculation unit 11, the candidate selection unit 21, and the device determination unit 30, and performs processing. In addition, a feature quantity database 40, an appearance coefficient database 50, and an operation coefficient database 41 are constructed in a storage area of a storage device such as a hard disk provided in the computer.

[Effects of Embodiment 3]
As described above, according to the third embodiment, since it is not necessary to install a measuring device for each electric device, the cost of the entire system can be reduced. Also in the case of the third embodiment, as in the first and second embodiments, the type of the electric device can be accurately determined when it is difficult to determine only by the electrical feature amount.

(Embodiment 4)
Next, an electrical device determination apparatus, an electrical device determination method, and a program according to Embodiment 4 of the present invention will be described with reference to FIGS.

[Device configuration]
Initially, the structure of the electric equipment discrimination device in this Embodiment 4 is demonstrated using FIG. FIG. 10 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 4 of the present invention.

  As shown in FIG. 10, in the fourth embodiment, two electric device discriminating devices 104a and 104b are used as the electric device discriminating devices, and these, together with the management device 104c, An electrical device discrimination system 104 is constructed. Also, in the fourth embodiment, unlike the first to third embodiments, the electric device discriminating devices 104a and 104b execute only the calculation of the electrical feature amount and the selection of candidates, and the electric device discrimination is performed by the management device 104c. Executed by. The configuration of each device will be specifically described below.

  First, as shown in FIG. 10, also in the fourth embodiment, as in the first embodiment, the measuring device 3a measures at least one of the current, voltage, and power supplied to the electrical equipment 1a. To do. The measuring device 3b measures at least one of current, voltage, and power supplied to the electrical device 1b.

  However, in the fourth embodiment, unlike the first embodiment, the measurement device 3a outputs the measurement result to the electrical device determination device 104a, and the measurement device 3b outputs the measurement result to the electrical device determination device 104b. The electric devices 1a and 1b are connected to different power sources.

  Further, as shown in FIG. 10, each of the electric device discriminating apparatuses 104a and 104b includes a feature amount calculation unit 12, a candidate selection unit 22, a feature amount database 40, and an operation coefficient database 41. The device discriminating unit (see FIG. 1) is not provided. Furthermore, the electrical device determination devices 104a and 104b include a communication unit 23 instead of including a device determination unit (see FIG. 1). The feature amount database 40 is the same as that shown in FIG. 2, and the operation coefficient database 41 is the same as that shown in FIG.

  That is, the feature quantity calculation unit 12 has the same function as the feature quantity calculation units 10a and 10b (see FIG. 1), and calculates the electrical feature quantity of the corresponding electrical device (1a or 1b). Moreover, the candidate selection part 22 selects the candidate of the kind of corresponding electric equipment (1a or 1b) using the feature-value database 40 and the operation coefficient database 41 similarly to the candidate selection part 21 shown in FIG. . However, in the fourth embodiment, the electrical device determination devices 104a and 104b do not determine the model of the electrical device, and the candidate selected by the candidate selection unit 22 is notified to the management device 104c by the communication unit 23. .

  As illustrated in FIG. 10, the management device 104 c includes a communication unit 71 that receives a notification from each electrical device determination device, a device determination unit 72, and an appearance rate database 73. The device discriminating unit 72 has the same function as the device discriminating unit 30 shown in FIG. 1, and uses the appearance rate database 73 to select the electrical to be discriminated from the notified candidates for each electric device. The type of the devices 1a and 1b is determined. The appearance rate database 73 is the same as that shown in FIG.

  In the example of FIG. 10, two examples of the electric device 1 a and the electric device 1 b are illustrated as objects to be discriminated, but the number of electric devices is not limited also in the fourth embodiment. In the fourth embodiment, the electric device determination device is installed according to the number of electric devices to be determined.

[Device operation]
Next, the operation of the electrical device determination system 104 according to Embodiment 4 of the present invention will be described with reference to FIGS. 11 and 12. In the following description, FIG. 10 is taken into consideration as appropriate. Moreover, in this Embodiment 4, the electric equipment discrimination | determination method is implemented by operating the electric equipment discrimination | determination system 104. FIG. Therefore, the description of the electrical device determination method according to the fourth embodiment is replaced with the following description of the operation of the electrical device determination system 104.

  First, the operation of the electrical device determination apparatuses 104a and 104b in the fourth embodiment will be described with reference to FIG. FIG. 11 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 4 of the present invention. Note that the operations of the electrical device discriminating apparatuses 104a and 104b are the same.

  First, in the fourth embodiment, as a premise, electric power is supplied from the power source 2a to the electric device 1a, the electric device 1a is operated, and electric power is supplied from the power source 2b to the electric device 1b. Operate. Then, each of the measuring devices 3a and 3b measures the voltage, current, and power, and outputs the measurement results to the corresponding electrical device discriminating device at set intervals.

  As illustrated in FIG. 11, the feature amount calculation unit 12 acquires voltage information, current information, and power information as measurement results from the corresponding measurement device (step S41). Next, the feature quantity calculation unit 12 calculates the electrical feature quantity of the electrical device to be determined based on the acquired voltage information, current information, and power information (step S42). Steps S41 and S42 are executed in the same manner as steps S11 and S12 shown in FIG.

  Next, the candidate selection unit 22 uses the feature amount calculated by the feature amount calculation unit 12, the feature amount database 40, and the operation coefficient database 41 to select a corresponding type of electrical device (step) S43). Step S43 is executed similarly to step S23 shown in FIG.

  Next, the communication unit 23 notifies the candidate selected in step S43 to the management apparatus 104c (step S44). By executing step S44, the processing in the electrical device determination devices 104a and 104b is temporarily terminated. Note that steps S41 to S44 may be repeatedly executed after the set time has elapsed.

  Subsequently, the operation of the management apparatus 104c in the fourth embodiment will be described with reference to FIG. FIG. 12 is a flowchart showing the operation of the management apparatus according to the fourth embodiment of the present invention.

  As shown in FIG. 12, when candidates are notified from both of the electrical device determination apparatuses 104a and 104b, the communication unit 71 receives them in the management apparatus 104c (step S45).

Next, device determination unit 72, for each electric device 1a and 1b, on the basis from among the selected candidate by each electric appliance discriminating unit, to output the appearance coefficients registered in the current coefficient database 73 (see FIG. 3) Then, the model is determined (step S46). Step S46 is executed in the same manner as step S14 shown in FIG.

  Thereafter, the device determination unit 72 outputs the result of step S24 to the output device 60 (step S47). Step S47 is executed similarly to step S15 shown in FIG. Thereby, the model name of the electric device 1a and the model name of the electric device 1b are displayed on the screen of the output device 60. By executing step S47, the processing in the management apparatus 104c is temporarily terminated.

[program]
The first program in the fourth embodiment may be a program that causes a computer to execute steps S41 to S44 shown in FIG. By installing this program in a computer and executing it, the electric device discriminating apparatus 104a or 104b in the fourth embodiment can be realized. In this case, a CPU (Central Processing Unit) of the computer functions as the feature amount calculation unit 12, the candidate selection unit 22, and the communication unit 23 to perform processing. Further, a feature amount database 40 and an operation coefficient database 41 are constructed in a storage area of a storage device such as a hard disk provided in the computer.

  Further, the second program in the fourth embodiment may be a program that causes a computer to execute steps S45 to S47 shown in FIG. The management apparatus 104c according to the fourth embodiment can be realized by installing and executing this program on a computer. In this case, a CPU (Central Processing Unit) of the computer functions as the communication unit 71 and the device determination unit 32 to perform processing. An appearance coefficient database 73 is constructed in a storage area of a storage device such as a hard disk provided in the computer.

[Effects of Embodiment 4]
As described above, in the fourth embodiment, since the electrical device determination device is installed for each electrical device, the burden on the electrical device determination device can be reduced. Also, in the case of the fourth embodiment, as in the first to third embodiments, when it is difficult to discriminate only by the electrical feature amount, it is possible to accurately discriminate the type of the electric device.

(Embodiment 5)
Next, an electrical device determination apparatus, an electrical device determination method, and a program according to Embodiment 5 of the present invention will be described with reference to FIGS.

[Device configuration]
Initially, the structure of the electric equipment discrimination device in this Embodiment 5 is demonstrated using FIG. FIG. 13 is a block diagram showing the configuration of the electrical device determination apparatus according to Embodiment 5 of the present invention.

  As shown in FIG. 13, also in the fifth embodiment, as in the first embodiment, the measuring device 3a measures at least one of the current, voltage, and power supplied to the electrical equipment 1a. Furthermore, the measuring device 3b measures at least one of current, voltage, and power supplied to the electrical device 1b.

  However, as shown in FIG. 13, in the fifth embodiment, the electric device discriminating devices 105 a and 105 b are used, and different electric devices are targeted for determination. That is, the electric device discriminating device 105a targets the electric device 1a, and the measuring device 3a outputs the measurement result to the electric device discriminating device 105a. In addition, the electric device discriminating apparatus 105b targets the electric device 1b, and the measuring device 3b outputs the measurement result to the electric device discriminating apparatus 105b. The electric devices 1a and 1b are connected to separate power sources.

  Furthermore, in the fifth embodiment, the electrical device determination devices 105a and 105c include the communication unit 25 and can communicate with each other. Specifically, the communication unit 25 of the electrical device determination device 105a receives the notification of the candidate selected by the electrical device determination device 105b, and further receives the notification of the candidate selected by the electrical device determination device 105a. It transmits to the apparatus discrimination device 105b.

  For this reason, the device discriminating unit 31 of the electric device discriminating apparatus 105a uses the appearance coefficient (see FIG. 3) to determine the combination of the candidate for the electric device 1a to be discriminated and the candidate notified from the electric device discriminating apparatus 105b. Select one combination from the inside. And the apparatus discrimination | determination part 31 discriminate | determines the candidate of the electric equipment 1a used as the discrimination | determination object contained in the selected combination from the kind of the electric equipment 1a used as a discrimination | determination object.

  Similarly, the communication unit 25 of the electrical device determination device 105b receives the notification of the candidate from the electrical device determination device 105a, and transmits the notification of the candidate selected by the electrical device determination device 105b to the electrical device determination device 105a.

  In addition, the device determination unit 31 of the electrical device determination device 105b uses the appearance coefficient (see FIG. 3) to select a combination of the candidate for the electrical device 1b to be determined and the candidate notified from the electrical device determination device 1a. 1 combination is selected. And the apparatus discrimination | determination part 31 discriminate | determines the candidate of the electric equipment 1b used as the discrimination | determination object contained in the selected combination as the kind of the electric equipment 1b used as a discrimination | determination object.

  That is, in the fifth embodiment, the electrical device discriminating device 105a and the electrical device discriminating device 105b notify each other of the selected candidates and use the notified candidates of the electrical device to be discriminated. The type is determined.

  Note that, in the electric device discriminating apparatuses 10a and 105b, the feature amount calculation unit 13 has the same function as the feature amount calculation units 10a and 10b (see FIG. 1), and the electric amount of the corresponding electric device (1a or 1b) The feature quantity is calculated. Moreover, the candidate selection part 24 selects the candidate of the kind of corresponding electric equipment (1a or 1b) using the feature-value database 40 and the operation coefficient database 41 similarly to the candidate selection part 21 shown in FIG. . The feature quantity database 40 is the same as that shown in FIG. 2, and the operation coefficient database 41 is the same as that shown in FIG.

[Device operation]
Next, the operation of the electrical device determination apparatuses 105a and 105b according to Embodiment 5 of the present invention will be described with reference to FIG. FIG. 14 is a flowchart showing the operation of the electrical device determination apparatus according to Embodiment 5 of the present invention. In the following description, FIG. 13 is referred to as appropriate.

  Moreover, in this Embodiment 5, the electric equipment discrimination | determination method is implemented by operating the electric equipment discrimination | determination apparatus 105a or 105b. Therefore, the description of the electrical device determination method in the fifth embodiment is replaced with the following description of the operation of the electrical device determination devices 105a and 105b. In addition, in order to perform the same operation | movement with the electric equipment discriminating apparatus 105a and the electric equipment discriminating apparatus 105b, below, it demonstrates focusing on the electric equipment discriminating apparatus 105a.

  First, in the fifth embodiment, as a premise, electric power is supplied from the power source 2a to the electric device 1a, the electric device 1a is operated, electric power is supplied from the power source 2b to the electric device 1b, and the electric device 1b is Operate. Then, each of the measuring devices 3a and 3b measures the voltage, current, and power, and outputs the measurement results to the corresponding electrical device discriminating device at set intervals.

  As illustrated in FIG. 14, in the electrical device determination device 105a, the feature amount calculation unit 13 acquires voltage information, current information, and power information as measurement results from the corresponding measurement device 3a (step S51). Next, the feature quantity calculation unit 13 calculates the electrical feature quantity of the electrical device 1a to be determined based on the acquired voltage information, current information, and power information (step S52). Steps S51 and S52 are executed in the same manner as steps S11 and S12 shown in FIG.

  Next, in the electrical device discriminating apparatus 105a, the candidate selection unit 24 uses the feature amount calculated by the feature amount calculation unit 12, the feature amount database 40, and the operation coefficient database 41 to correspond to the corresponding electrical device 1a. A type candidate is selected (step S53). Step S53 is executed in the same manner as step S23 shown in FIG.

  Next, in the electrical device determination device 105a, the communication unit 25 notifies the electrical device determination device 105b of the candidate selected in step S53, and the electrical device determination device 105b notifies the candidate of the electrical device 1b. Receive (step S54).

  Next, in the electric appliance discriminating apparatus 105a, the appliance discriminating unit 31 uses the appearance coefficient (see FIG. 3) to identify the candidate electric appliance 1a to be discriminated and the electric appliance 1b notified from the electric appliance discriminating apparatus 105b. One combination is selected from the combinations with the candidates. And the apparatus discrimination | determination part 31 discriminate | determines the candidate of the electric equipment 1a contained in the selected combination with the kind of the electric equipment 1a (step S55).

  Thereafter, in the electrical device determination device 105a, the device determination unit 31 outputs the result of step S55 to the output device 60 (step S56). Step S56 is executed similarly to step S15 shown in FIG. Thereby, the model name of the electric device 1a is displayed on the screen of the output device 60. With the execution of step S56, the processing in the electrical device determination apparatus 105a is temporarily terminated. Note that steps S51 to S56 may be repeatedly executed after the set time has elapsed.

  Further, in the fifth embodiment, steps S51 to S56 are executed in the same manner as described above also in the electric appliance discriminating apparatus 105b. As a result, the model name of the electrical device 1b is displayed on the screen of the output device 60 of the electrical device determination device 105b.

[program]
The program in the fifth embodiment may be a program that causes a computer to execute steps S51 to S56 shown in FIG. By installing this program in a computer and executing it, the electric device discriminating apparatus 105a or 105b in the fifth embodiment can be realized. In this case, a CPU (Central Processing Unit) of the computer functions as the feature amount calculation unit 13, the candidate selection unit 24, the communication unit 25, and the device determination unit 31, and performs processing. In addition, a feature quantity database 40, an appearance coefficient database 50, and an operation coefficient database 41 are constructed in a storage area of a storage device such as a hard disk provided in the computer.

[Effects of Embodiment 5]
As described above, also in the fifth embodiment, as in the fourth embodiment, since the electric device determining device is installed for each electric device, the burden on the electric device determining device can be reduced. Also, in the case of the fifth embodiment, as in the first to fourth embodiments, when it is difficult to determine only by the electrical feature amount, it is possible to accurately determine the type of the electric device.

(Specific examples of computers)
Here, a computer that realizes the electrical device determination device (or the management device in the fourth embodiment) by executing the program in the first to fifth embodiments will be described with reference to FIG. FIG. 15: is a block diagram which shows an example of the computer which implement | achieves the electric equipment discrimination | determination apparatus in Embodiment 1-5 of this invention.

  As shown in FIG. 15, the computer 110 includes a CPU 111, a main memory 112, a storage device 113, an input interface 114, a display controller 115, a data reader / writer 116, and a communication interface 117. These units are connected to each other via a bus 121 so that data communication is possible.

  The CPU 111 performs various calculations by developing the program (code) in the present embodiment stored in the storage device 113 in the main memory 112 and executing them in a predetermined order. The main memory 112 is typically a volatile storage device such as a DRAM (Dynamic Random Access Memory). Further, the program in the present embodiment is provided in a state of being stored in a computer-readable recording medium 120. Note that the program in the present embodiment may be distributed on the Internet connected via the communication interface 117.

  Specific examples of the storage device 113 include a hard disk and a semiconductor storage device such as a flash memory. The input interface 114 mediates data transmission between the CPU 111 and an input device 118 such as a keyboard and a mouse. The display controller 115 is connected to the display device 119 and controls display on the display device 119.

  The data reader / writer 116 mediates data transmission between the CPU 111 and the recording medium 120, and reads a program from the recording medium 120 and writes a processing result in the computer 110 to the recording medium 120. The communication interface 117 mediates data transmission between the CPU 111 and another computer.

  Specific examples of the recording medium 120 include general-purpose semiconductor storage devices such as CF (Compact Flash (registered trademark)) and SD (Secure Digital), magnetic storage media such as a flexible disk, or CD- An optical storage medium such as ROM (Compact Disk Read Only Memory) can be used.

  Part or all of the above-described embodiment can be expressed by (Appendix 1) to (Appendix 15) described below, but is not limited to the following description.

(Appendix 1)
A device for discriminating the type of electrical equipment,
Acquire at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, and based on the acquired measurement result, determine the electrical feature amount of the electrical device to be determined. A feature amount calculation unit for calculating,
A candidate selection unit that compares the calculated electrical feature value with an electrical feature value set in advance for each type of electrical device, and selects a candidate for the type of electrical device to be determined; and
Among the selected candidates, a device discriminating unit that discriminates the type of the electric device to be discriminated based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device,
An electric device discriminating apparatus characterized by comprising:

(Appendix 2)
In the case where there are a plurality of electrical devices to be discriminated,
The candidate selection unit selects the candidate for each electrical device to be determined,
The device determination unit uses the coefficient indicating the possibility that two or more electric devices for each combination including two or more electric devices are simultaneously used as the appearance coefficient, and One combination is selected from the combinations including candidates, and each candidate included in the selected combination is determined as the type of each electric device to be determined,
The electrical device identification device according to attachment 1.

(Appendix 3)
The candidate selection unit further selects a candidate for the type of electric device to be determined using an operation coefficient indicating the possibility of operation for each situation in the electric device.
The electrical apparatus discrimination device according to appendix 1 or 2.

(Appendix 4)
The communication unit further receives a notification of candidates selected by the other electric device discriminating device from another electric device discriminating device in which the electric device to be discriminated is different,
The candidate selected by the candidate selection unit using the coefficient indicating the possibility that the two or more electric devices for each combination including two or more electric devices are used simultaneously as the appearance coefficient. One combination is selected from the combinations of the notified candidates, and the candidates selected by the candidate selection unit included in the selected combinations are determined as the types of electric devices to be determined. The electrical apparatus discriminating device according to appendix 1.

(Appendix 5)
A system for discriminating the type of electrical equipment, comprising an electrical equipment discrimination device and a management device,
The electrical equipment discrimination device is
Acquire at least one measurement result of voltage, current, and power supplied to the electrical device to be discriminated, and calculate the electrical feature amount of the electrical device to be discriminated based on the obtained measurement result A feature amount calculation unit;
A candidate selection unit that compares the calculated electrical feature value with an electrical feature value set in advance for each type of electrical device, and selects a candidate for the type of electrical device to be determined; and With
The management device determines the type of the electric device to be determined based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device from the candidates selected by the electric device determination device. ,
An electrical equipment discrimination system characterized by that.

(Appendix 6)
A method for determining the type of electrical equipment,
(A) Acquire at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, and based on the acquired measurement result, the electrical of the electrical device to be determined Calculating features, steps;
(B) The electrical feature amount calculated in the step (a) is compared with an electrical feature amount set in advance for each type of electrical device, and the type of electrical device to be discriminated is determined. Selecting candidates, steps,
(C) From the candidates selected in the step (b), determining the type of the electric device to be determined based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device. Steps,
A method for discriminating electrical equipment, comprising:

(Appendix 7)
In the case where there are a plurality of electrical devices to be discriminated,
In the step (b), the candidate is selected for each electrical device to be discriminated,
In the step (c), each of the electrical devices to be discriminated using a coefficient indicating the possibility that the two or more electrical devices for each combination including two or more electrical devices are used at the same time as the appearance coefficient. Selecting one combination from the combinations including the candidates, and determining each candidate included in the selected combination as the type of each electrical device to be determined,
The electrical device identification method according to attachment 6.

(Appendix 8)
In the step (b), a candidate for the type of electric device to be determined is selected using an operation coefficient indicating the possibility of operation for each situation in the electric device.
The electrical device identification method according to appendix 6 or 7.

(Appendix 9)
(D) when another electric device discriminating method in which the electric device to be discriminated is different is executed, the method further includes a step of acquiring candidates selected in the other electric device discriminating method;
In the step (c), using the coefficient indicating the possibility that two or more electric devices for each combination including two or more electric devices are used simultaneously as the appearance coefficient, the selection is performed in the step (b). One combination is selected from the combinations of the candidates obtained and the candidates acquired in the step (d), and the candidates selected in the step (b) included in the selected combinations are selected. Discriminate from the type of electrical device to be discriminated,
The electrical device identification method according to attachment 6.

(Appendix 10)
A program for identifying the type of electrical equipment by a computer,
In the computer,
(A) Acquire at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, and based on the acquired measurement result, the electrical of the electrical device to be determined Calculating features, steps;
(B) The electrical feature amount calculated in the step (a) is compared with an electrical feature amount set in advance for each type of electrical device, and the type of electrical device to be discriminated is determined. Selecting candidates, steps,
(C) From the candidates selected in the step (b), determining the type of the electric device to be determined based on the appearance coefficient indicating the possibility of appearance for each situation in the electric device. Steps,
A program that executes

(Appendix 11)
In the case where there are a plurality of electrical devices to be discriminated,
In the step (b), the candidate is selected for each electrical device to be discriminated,
In the step (c), each of the electrical devices to be discriminated using a coefficient indicating the possibility that the two or more electrical devices for each combination including two or more electrical devices are used at the same time as the appearance coefficient. Selecting one combination from the combinations including the candidates, and determining each candidate included in the selected combination as the type of each electrical device to be determined,
The program according to appendix 10.

(Appendix 12)
In the step (b), a candidate for the type of electric device to be determined is selected using an operation coefficient indicating the possibility of operation for each situation in the electric device.
The program according to appendix 10 or 11.

(Appendix 13)
(D) When another program in which the electrical device to be discriminated is different is being executed, the computer further executes a step of acquiring candidates selected in the other program,
In the step (c), using the coefficient indicating the possibility that two or more electric devices for each combination including two or more electric devices are used simultaneously as the appearance coefficient, the selection is performed in the step (b). One combination is selected from the combinations of the candidates obtained and the candidates acquired in the step (d), and the candidates selected in the step (b) included in the selected combinations are selected. Discriminate from the type of electrical device to be discriminated,
The program according to appendix 10.

(Appendix 14)
On the computer,
(A) Acquire at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, and based on the acquired measurement result, the electrical of the electrical device to be determined Calculating features, steps;
(B) The electrical feature amount calculated in the step (a) is compared with an electrical feature amount set in advance for each type of electrical device, and the type of electrical device to be discriminated is determined. Selecting candidates, steps,
A program that executes

(Appendix 15)
The electrical characteristic amount of the electrical device to be determined, which is calculated from at least one measurement result among the voltage, current, and power supplied to the electrical device to be determined, is previously determined for each type of electrical device. In the case where a candidate for the type of electrical device to be discriminated is selected in comparison with the set electrical feature amount,
A program for causing a computer to execute a step of discriminating a type of an electric device to be discriminated based on an appearance coefficient indicating a possibility of appearance in each electric device from among the selected candidates.

  As described above, according to the present invention, it is possible to accurately determine the type of an electric device even when it is difficult to determine only with an electrical feature amount. The present invention is effective for an energy management system. In particular, according to the present invention, plug-and-play of an electric device can be realized in the energy management system.

DESCRIPTION OF SYMBOLS 1a, 1b Electric equipment 2, 2a, 2b Power supply 3, 3a, 3b, 4 Measuring device 4a Input switching part 4b Measuring part 10a, 10b, 11, 12, 13 Feature amount calculation part 20, 21, 22, 24 Candidate selection part 23, 25 Communication unit 30, 31 Device discrimination unit 40 Feature quantity database 41 Operation count database 50 Appearance rate database 60 Output device 71 Communication unit 72 Device discrimination unit 73 Appearance rate database 101 Electrical device discrimination device (Embodiment 1)
102 Electrical apparatus discriminating apparatus (Embodiment 2)
103 Electric Device Discriminating Device (Embodiment 3)
104 Electrical device discrimination system (Embodiment 4)
104a, 104b Electric equipment discriminating apparatus (Embodiment 4)
104c management apparatus (Embodiment 4)
105a, 105b Electric device discriminating device (Embodiment 5)
110 Computer 111 CPU
112 Main Memory 113 Storage Device 114 Input Interface 115 Display Controller 116 Data Reader / Writer 117 Communication Interface 118 Input Device 119 Display Device 120 Recording Medium 121 Bus

Claims (6)

A device for discriminating the types of a plurality of electrical devices,
For each of a plurality of electrical devices to be discriminated, obtain at least one measurement result from the supplied voltage, current, and power, and based on the acquired measurement results, the plurality of electrical devices to be discriminated A feature quantity calculator for calculating each electrical feature quantity;
For each of the plurality of electrical devices to be determined,
The calculated electrical feature value is collated with an electrical feature value set in advance for each type of electrical equipment ,
Then, for each type of the electrical device for which an electrical feature amount is set, calculate the Euclidean distance between the electrical device and the electrical device to be determined,
A candidate selection unit that selects a candidate for the type of electrical device to be determined , in the order from the smallest Euclidean distance, from among the electrical devices for which electrical feature amounts are set ,
For each combination including two or more electrical devices, use a database in which appearance coefficients indicating the possibility of using the two or more electrical devices at the same time are registered,
For each combination including the candidates for each of the plurality of electrical devices to be determined, a total value of squares of the Euclidean distances of the candidates constituting the combination is obtained, and further, the obtained total value is added to the combination. divided by the advent coefficient matching, based on the divided value, to elect one of the combinations, each candidate included in the selected and combined to determine a plurality of electric devices each type to be the determination target, device determination And
An electric device discriminating apparatus characterized by comprising: The candidate selection unit further selects a candidate for the type of electric device to be determined using an operation coefficient indicating the possibility of operation for each situation in the electric device.
The electrical equipment discrimination device according to claim 1 . The communication unit further receives a notification of candidates selected by the other electric device discriminating device from another electric device discriminating device in which the electric device to be discriminated is different,
The candidate selected by the candidate selection unit using the coefficient indicating the possibility that the two or more electric devices for each combination including two or more electric devices are used simultaneously as the appearance coefficient. One combination is selected from the combinations of the notified candidates, and the candidates selected by the candidate selection unit included in the selected combinations are determined as the types of electric devices to be determined. The electric device discriminating device according to claim 1. A system for discriminating the types of a plurality of electrical equipment, comprising an electrical equipment discrimination device and a management device,
The electrical equipment discrimination device is
For each of the plurality of electrical devices to be discriminated, obtain at least one measurement result among the supplied voltage, current and power, and based on the obtained measurement result, each of the plurality of electrical devices to be discriminated A feature amount calculation unit for calculating the electrical feature amount of
For each of the plurality of electrical devices to be determined,
The calculated electrical feature value is collated with an electrical feature value set in advance for each type of electrical equipment ,
Then, for each type of the electrical device for which an electrical feature amount is set, calculate the Euclidean distance between the electrical device and the electrical device to be determined,
A candidate selection unit that selects , from the electrical devices for which electrical features are set , candidates for the types of electrical devices to be determined , in a set number, in ascending order of the Euclidean distance ; Prepared,
The management device uses a database in which appearance coefficients indicating the possibility that two or more electric devices are simultaneously used for each combination including two or more electric devices,
For each combination including the candidates for each of the plurality of electrical devices to be determined, a total value of squares of the Euclidean distances of the candidates constituting the combination is obtained, and further, the obtained total value is added to the combination. divided by the advent coefficient matching, based on the divided value, to elect one of the combinations, each candidate included in the selected and combined to determine a plurality of electric devices each type to be the determination target,
An electrical equipment discrimination system characterized by that. A method for discriminating types of a plurality of electric devices,
(A) for each of the plurality of electric devices as a determination target, a plurality voltage supplied, the acquired current, and at least one measurement result of the power, based on the acquired measurement result, and the determination target Calculating the electrical feature amount of each of the electrical devices,
(B) For each of the plurality of electrical devices to be discriminated,
The electrical feature amount calculated in the step (a) is collated with an electrical feature amount set in advance for each type of electrical equipment ,
Then, for each type of the electrical device for which an electrical feature amount is set, calculate the Euclidean distance between the electrical device and the electrical device to be determined,
From among the electrical devices for which electrical features are set , selecting the number of types of the electrical device to be determined as the set number, in ascending order of the Euclidean distance , and
(C) For each combination including two or more electrical devices, use a database in which appearance coefficients indicating the possibility of using the two or more electrical devices at the same time are registered,
For each combination including the candidates for each of the plurality of electrical devices to be determined, a total value of squares of the Euclidean distances of the candidates constituting the combination is obtained, and further, the obtained total value is added to the combination. divided by the advent coefficient matching, based on the divided value, to elect one of the combinations, each candidate included in the selected and combined to determine a plurality of electric devices each type to be the determination target, the steps ,
A method for discriminating electrical equipment, comprising: A program for discriminating the types of a plurality of electric devices by a computer,
In the computer,
(A) for each of the plurality of electric devices as a determination target, a plurality voltage supplied, the acquired current, and at least one measurement result of the power, based on the acquired measurement result, and the determination target Calculating the electrical feature amount of each of the electrical devices,
(B) For each of the plurality of electrical devices to be discriminated,
The electrical feature amount calculated in the step (a) is collated with an electrical feature amount set in advance for each type of electrical equipment ,
Then, for each type of the electrical device for which an electrical feature amount is set, calculate the Euclidean distance between the electrical device and the electrical device to be determined,
From among the electrical devices for which electrical features are set , selecting the number of types of the electrical device to be determined as the set number, in ascending order of the Euclidean distance , and
(C) For each combination including two or more electrical devices, use a database in which appearance coefficients indicating the possibility of using the two or more electrical devices at the same time are registered,
For each combination including the candidates for each of the plurality of electrical devices to be determined, a total value of squares of the Euclidean distances of the candidates constituting the combination is obtained, and further, the obtained total value is added to the combination. divided by the advent coefficient matching, based on the divided value, to elect one of the combinations, each candidate included in the selected and combined to determine a plurality of electric devices each type to be the determination target, the steps ,
A program that executes

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