JP2008112267A - Method and system for life watching based on power consumption - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a life watching service based on a power usage state which matches a watched person's living rhythm. <P>SOLUTION: In a system for providing the service, a communication terminal 202 comprises a power meter 201 and a living rhythm recognition means 204 for extracting a living pattern based on a measured power usage and comparing the living pattern with an expected parameter to determine whether there is an anomaly. A parameter tuning means 217 is also provided for tuning the expected parameter in accordance with the generation time of the extracted living pattern. A service provision server 209 comprises means 213 for, when the communication terminal 202 determines an anomaly and requests a report to a predetermined contact point, reporting it to the contact point. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a life monitoring method and system for remotely monitoring a living situation such as an elderly household from a power usage situation.

  Along with the declining birthrate and aging, the number of households with older people (side to be watched) increases, so that the families who live away using the information and communication equipment to monitor the usage status of devices and sensor detection status (side to watch) A service to watch the daily life of the elderly has appeared. In these services, for example, in Patent Document 1, the usage status of electricity, gas, water, etc. on the side to be watched is detected, the normality / abnormality is determined by comparison server with the standard usage data, and it is determined as abnormal. Occasional notification is sent to the contact information communication device on the side to watch. Moreover, in patent document 2, a sensor is provided in main electric equipment, and abnormality is determined from the use condition.

JP 2003-6337 A JP 2002-37320 A

  The conventional life monitoring service compares the usage status of the device on the watched side with its standard usage status to determine whether there is an abnormality, but based on the power usage status according to the life rhythm of the watched side I can't find anything.

  In order to determine the presence or absence of an abnormality on the side to be watched, it is desirable to determine whether the resident's life rhythm is normal, and the accuracy is high. In this case, the lifestyle pattern such as getting up and going to sleep in the lifestyle rhythm depends on the season and the weather, so the standard pattern for comparison needs to be tuned. In ordinary households, it is easy to tune based on the daily power consumption, and at least tuning according to the season is indispensable.

  An object of the present invention is to provide a life monitoring method and system based on power consumption that can easily and reliably determine the presence / absence of an abnormality based on the life rhythm on the side to be watched in view of the above-mentioned problems of the prior art.

  The life monitoring method according to the power consumption of the present invention measures the power usage of the home to be watched, extracts a life pattern based on the power usage and compares it with the predicted parameter, and the comparison result is the predicted parameter. If it is out of the expected range, it is determined that there is an abnormality on the side to be watched over and reported to a predetermined contact. The prediction parameter is tuned based on the time of occurrence of the extracted life pattern.

  Living patterns that can be extracted from the power consumption include waking up, going to bed, and activities in between. The amount of power used, which had been at a low level during sleep, can be shown to rise by waking up and using lighting, air conditioning, TV, etc. and preparing meals. On the other hand, power consumption returns to a low level by going to bed. During the time between waking up and going to bed, there is the use of electric power associated with the activity. From the viewpoint of keeping a watch on life, it is necessary to detect that waking up or going to bed cannot be detected or that the time is significantly deviated from the normal time, or that there is no evidence of activity. Therefore, whether or not it is possible to detect a change in power usage corresponding to waking up in a time zone where waking up is expected, whether or not it is possible to detect a change in power usage corresponding to going up in the time zone expected to go to bed, It is effective to divide a day into a plurality of time zones and extract life patterns peculiar to each time zone, such as whether or not the power usage accompanying the activity is observed in the time zones.

  Accordingly, a day is divided into a plurality of time zones, and the first time zone is a time zone in which the wake-up is included in the life pattern, and when the wake-up is extracted from the power usage amount of the time zone, It is determined that there is an abnormality when the predicted wake-up time, which is the predicted parameter, is out of the expected range.

  In addition, the second time zone is a time zone in which bedtime is included in the life pattern, and when the bedtime is extracted from the power usage amount of the time zone, the bedtime is compared with the expected bedtime that is the prediction parameter. It is characterized in that it is determined that there is an abnormality when it is outside the assumed range.

  In the third time zone that is sandwiched between the first time zone and the second time zone, it is determined that there is an abnormality when power usage due to activity is not seen.

  The life monitoring system according to the power consumption of the present invention extracts a life pattern based on the life rhythm of the measured power usage, the means for measuring the power usage of the home to be watched, and the life pattern and its prediction A life rhythm confirmation unit that compares parameters and determines whether there is an abnormality, and a unit that reports to a predetermined contact based on the determination result are provided.

  One form thereof is that a service providing server in a service center is connected to a monitored communication terminal station and a monitoring terminal via a communication line, and the communication terminal station includes means for measuring power consumption, and measured power consumption. A life pattern is extracted based on the usage amount, the life pattern is compared with the predicted parameter, life rhythm confirmation means for determining the presence or absence of abnormality, and the predicted parameter based on the time of occurrence of the extracted life pattern. Parameter tuning means for tuning is provided, and the providing server includes means for reporting to the contact when the communication terminal determines that the communication is abnormal and requests a report to a predetermined contact. It is characterized by reporting to the terminal on the watching side.

  According to the present invention, an abnormality in the life rhythm on the side to be watched can be determined based on the usage state of electric power, so that it is possible to realize remote monitoring with high accuracy. In particular, in the case of single elderly people who are supposed to be watching over their lives, the wake-up time and bedtime are usually almost constant, and there is no daytime, and there is no power used for activities. Since there is usually no accuracy, the accuracy of watching over the life according to the present invention is high. In addition, since the predicted parameter for comparison is continuously tuned based on the power usage status, there is an effect that it can cope with a change in life rhythm due to a change in season or weather.

  FIG. 2 shows the transition of the power usage status of general households and the outline of the life monitoring service. FIG. 2C shows the actual power usage situation of a single elderly household. Although there are differences in the time and peak of power usage status depending on the day, there is a life rhythm as shown in FIG. That is, there is a decrease in power usage from midnight to dawn, an increase in power usage from 9:00 to 10:00 from dawn, and an increase in power usage from the evening. Fig. 2 (d) shows the increase in power consumption from dawn to around 9:00 to 10:00, from midnight, for eight single elderly households including single elderly household (household 4) in Fig. 2 (c). It is the result of investigating the time of decrease in power consumption until dawn. Each household has an increase / decrease in power consumption during these time periods over 90% of the days, and the standard deviation of the increase / decrease time is about 20 to 90 minutes. The life monitoring service according to the power usage status of this embodiment, as shown in FIG. 2 (b), examines the rhythm of life from the power usage and estimates that it is abnormal when the wake-up time or bedtime deviates greatly from the normal, Send an email to a pre-registered contact. The feature of the system is that the life pattern is extracted based on the life rhythm of the measured power usage, and the means for measuring the power usage of the home on the side to be watched, A life rhythm confirmation means for determining the presence or absence of abnormality and a means for reporting to a predetermined contact based on the result of the determination are provided.

The features of the life watching service according to the present embodiment are generally based on the configurations shown in (1) to (7). (1) The power usage status is the power usage amount and time every 30 minutes read periodically (for example, every 30 minutes) from the watt hour meter at the communication terminal connected to the watt hour meter used for power trading. (Hereinafter referred to as load survey data).
(2) Wake-up, daytime to evening power usage, and bedtime life patterns are extracted from the road survey data every 30 minutes. Send email to pre-registered contacts. Even if these life patterns are not found, it is considered abnormal.
(3) The predicted wake-up time, bedtime, etc., that is, the predicted parameters (called determination parameters in the embodiment) are automatically tuned from the initial set values (manual tuning) based on the load survey data. Thereby, the fluctuation | variation by the season etc. of a wake-up time and a bedtime is absorbed.
(4) Extraction of wake-up, daytime to evening power usage, and bedtime patterns is performed by examining which living pattern the current power usage status is in comparison with the minimum power usage due to refrigerator operation, etc. . Since the minimum power consumption and the level of lifestyle patterns also vary due to factors such as the season, tuning is automatically performed from the initial setting value.
(5) In households where electric water heaters are operated at night, the amount of power used while sleeping is not necessarily reduced. Eliminate the effects of power consumption by electric water heaters from the road survey data, and extract the power usage status that reflects the living patterns of residents.
(6) The service user (watching side) can register and change the mail address of the contact, and browse the mail transmission history and the power usage status that is the origin. A service user performs initial settings such as a wake-up time and bedtime of a lifestyle pattern and the presence / absence of an electric water heater from a mobile phone or a PC connected to the Internet.
(7) The service provider can manually tune individual parameters related to life rhythm monitoring.

  FIG. 1 shows a configuration of a life watching system for providing a life watching service according to an embodiment of the present invention. First, an outline of processing in the communication terminal 202 on the watched side will be described.

  The meter-reading processing means 203 reads the meter value from the watt-hour meter 201 every 30 minutes, creates 30-minute load survey data, and writes it into the 30-minute load survey database 205. The life rhythm confirmation processing means 204 operates every 30 minutes and refers to the 30 minute load survey database 205 and the determination parameter storage means 206 to determine whether or not the current life rhythm is different from the normal rhythm. If an abnormality is detected in the life rhythm, it is recorded in the check history storage means 207 as a check history, and the mail transmission processing means 213 of the service providing server 209 is notified of the mail transmission instruction and the reason. The determination parameter tuning processing means 217 operates every 30 minutes in cooperation with the life rhythm confirmation processing means 204, and automatically tunes the determination parameters for life rhythm confirmation. Details of the life rhythm confirmation processing means 204 and the determination parameter tuning processing means 217 will be described later.

  Next, an outline of the configuration and processing of the service providing server 209 of the service center will be described. When the mail transmission processing unit 213 receives the mail transmission instruction from the life rhythm confirmation processing unit 204, the mail transmission processing unit 213 refers to the mail address book for each user (allows registration of a plurality of addresses) 211, and the life rhythm is normal at the corresponding address. Send a different email. Based on the information notified from the life rhythm confirmation processing means 204, for example, when the wake-up time is delayed than usual, a specific event such as “the wake-up time is delayed” is added to the mail.

  The watching-side user accesses the Web page processing means 210 for each user from the user terminal 216 of the PC or mobile phone connected to the Internet 215 via the Web server 212 of the service providing server 209. As a result, it is possible to browse and register the address of the mail transmission destination, change it, necessity of mail transmission, the history of life rhythm abnormality detection, and the load survey data from which it originated. In addition, initial values of determination parameters for watching life rhythm such as wake-up time, bedtime, and presence / absence of electric water heater are set. When a user accesses the Web page 210 of the service providing server 209, user authentication such as a user ID and a password is performed.

  The operator (service center) of the life rhythm watching service sets various determination parameters for life rhythm watching as needed from the GUI (graphical user interface) screen provided by the setting screen processing means 214 for the system administrator. Various determination parameters for watching a lifestyle rhythm set by the service operator or user are transmitted from the service providing server 209 to the communication terminal 202 and stored in the determination parameter storage unit 206.

  The life rhythm confirmation process and the determination parameter tuning process can be performed with higher accuracy by statistically processing and analyzing the abundant load survey data accumulated by the service providing server 209. However, since the life rhythm confirmation process needs to be performed for all users every 30 minutes, if the life rhythm confirmation process is performed on the service providing server 209 side, the processing load and communication load of the service providing server are overloaded. there is a possibility.

  On the other hand, the life rhythm confirmation process and the determination parameter tuning process may be performed using limited data at the communication terminal station in each home. Taking the determination parameter tuning process as an example, the predicted wake-up time (described later) is automatically tuned using only the current expected wake-up time and the wake-up time detected this time. As a result, tuning is possible only with the current data without using the data of the past wake-up time. However, the determination parameter tuning process does not necessarily have to be executed every 30 minutes. For example, once a week or once a month may be used, the service providing server 209 may analyze and tune abundant data and transmit the result to the communication terminal 202.

  In the present embodiment, the life rhythm confirmation process and the determination parameter tuning process are carried out using the limited data effectively in the communication terminal station installed in each home. Hereinafter, the life rhythm confirmation processing unit 204 and the determination parameter tuning processing unit 217 will be described in detail.

  First, correspondence to an electric water heater will be described. The operation time of an electric water heater with a large amount of power consumption is several hours in a time zone (hereinafter referred to as nighttime) where a cheap nighttime electricity charge is applied. Here, the night time is from 23:00 to 7:00. The idea of the operation time of the electric water heater is to adjust the operation start time so that the operation end time is substantially constant. Once the operation is started, it continues to move for about 2 hours even in summer, and during this time, the amount of power consumed by the electric water heater is considered to be constant. Since the electric water heater operates regardless of the resident's life pattern, it is necessary to perform the confirmation process of the life rhythm after removing the electric water heater's power usage from each 30-minute power usage. .

  As described above, since the operation start time and operation end time of the electric water heater are not explicitly determined, it is necessary to detect the operation start time and end time of the electric water heater from each 30-minute power consumption. In the present embodiment, the operation start time and end time of the electric water heater are estimated from the power consumption for 30 minutes from 23:00 to 7:00 the following as follows.

  a. The electric water heater starts operation after 23:00 (subject to manual tuning) and stops at 7:00 (subject to manual tuning) at the latest.

  b. Between 23:30 and 7:00 (in conjunction with the above manual tuning), if the electricity usage for 30 minutes is equal to or more than the electricity usage for 30 minutes (automatic tuning target), the electric water heater is in operation I reckon. In other words, the previous 30-minute power consumption was less than the 30-minute power consumption of the electric water heater, but the current 30-minute power consumption is stopped when it exceeds the 30-minute power consumption of the electric water heater. It is considered that the electric water heater has changed during operation.

  c. The previous 30-minute power usage of the electric water heater was more than the 30-minute power usage of the electric water heater, but this 30-minute power usage is less than the 30-minute power usage of the electric water heater It is considered to have transitioned to stop.

  d. The life rhythm confirmation process performs an electric water heater influence exclusion process (described later) in b and c above.

  e. If the operation of the electric water heater continues for more than 1 hour (subject to manual tuning) and then transitions to a stop, the electric power consumption for 30 minutes will exceed the electric water heater's electric power consumption for 30 minutes by 7:00 on the same day. Even if it is not, it is not considered that the electric water heater is in operation.

  f. In preparation for automatic tuning of the 30-minute power consumption of the electric water heater, each 30-minute power usage between 23:30 and 7:00 is stored.

  FIG. 3 is an explanatory view showing the influence eliminating process of the electric water heater. When the electric water heater is considered to be operating, the value obtained by subtracting the 30-minute power usage amount of the electric water heater from the 30-minute power usage amount is regarded as the 30-minute power usage amount, and the life rhythm confirmation process is performed.

  In addition, when it is considered that the electric water heater that has been stopped until then is transited during operation, the life rhythm check process at that time (the period of filling in the figure) is not performed. This is because, for example, if the electric water heater is moving for 15 minutes out of 30 minutes, it is impossible to detect the amount of power used by the resident's behavior during that 30 minutes. In addition, when it is considered that the electric water heater that was in operation has changed to stop, it is impossible to determine whether the power consumption of 30 minutes is due to the water heater or the life of the resident. Life rhythm confirmation processing is not performed.

  The automatic tuning of the electric water heater's 30-minute power consumption is performed at, for example, 7:00 every day. First, Min (described later) is subtracted from the minimum power consumption for 30 minutes in the time zone when the electric water heater is considered to be operating from 23:30 to 7:00 this morning. This is the 30 minute power consumption of the new electric water heater. If the operation of the electric water heater is not permitted between 23:30 and 7:00 this morning, the electric water heater's 30-minute power consumption x 70% (manual tuning target) or more 30-minute power usage during this period Is continued for more than 1 hour, Min (described later) is subtracted from the minimum 30-minute power consumption in this time zone. This is the 30 minute power consumption of the new electric water heater.

  Next, Min, wakeup, bedtime, and life threshold are defined. Min refers to the minimum value of 30-minute power consumption over the last 24 hours (manual tuning target) as Min (for example, the power consumption of a refrigerator or the like). Wake-up is considered a wake-up when the power usage for 30 minutes rises above Min + (life threshold x 70%). Sleeping is considered to be sleeping when the electricity usage for 30 minutes falls below Mmin + (life threshold × 70%). The life threshold is the minimum value of the power consumption for 30 minutes per day, the initial value is manually set, and automatic tuning is performed at the wake-up time. Note that the above 70% number is subject to manual tuning.

  FIG. 4 is an explanatory diagram of the life rhythm confirmation process and the determination parameter tuning process. The life rhythm confirmation processing means 204 and the determination parameter tuning processing means 217 check the power consumption for 30 minutes every 30 minutes, and perform predetermined processing for each time zone (af) shown in FIG. . In addition, prior to the life rhythm confirmation process and the determination parameter tuning process from 23:30 to 7:00, the above-described electric water heater influence exclusion process is performed.

  FIG. 4B shows a processing flow. In the time zone a, for example, a daily rhythm check process and a determination parameter tuning process are performed every 30 minutes from 2:00 (manual tuning target) to getting up (401).

  FIG. 5 is a detailed flow of the daily rhythm confirmation process and the determination parameter tuning process every 30 minutes in the time zone a. In the case of nighttime, the electric water heater is excluded (501 to 503). The first Min update process (504) is performed on that day, and then wakeup detection (505) is performed. Furthermore, the detected wake-up time is determined (506), whether the wake-up is delayed by more than 2 hours (subject to manual tuning) from the expected wake-up time (507), and if it is delayed by more than 2 hours, it is determined as abnormal and a mail is sent. (508).

  On the other hand, when the wake-up time is detected within the normal range, the predicted wake-up time is automatically tuned using the detected wake-up time (in units of 30 minutes) (509). Tuning takes a weighted average of the predicted wake-up time and the detected wake-up time to obtain a new predicted wake-up time. The degree of weighting is subject to manual tuning. If an abnormality is detected, the expected wake-up time is not updated.

  Next, the living threshold is tuned using the deviation from Min of the 30-minute power consumption at the detected wake-up time (in units of 30 minutes) (510). Tuning takes a weighted average of deviations from Min at the set living threshold and the detected wake-up time (in units of 30 minutes) to obtain a new living threshold. The degree of weighting is subject to manual tuning. If an abnormality is detected, the life threshold is not updated. Moreover, if abnormality is detected, the 30-minute life rhythm confirmation process after that will be processed as if the wake-up was detected.

  Time zone b is a process every 30 minutes from waking up to 2 hours (target for manual tuning) (402). As shown in the flow of FIG. 6, only Min update processing (601) is performed during this period.

  In time zone c, a daily rhythm check process is performed every 30 minutes from 2 hours after waking up until 16:00 (manual tuning target) (403). This time zone is usually a time zone in which electricity use is essential. As shown in the flow of FIG. 7, Min update processing (701) is performed, and at 16:00 (702), life rhythm confirmation processing is performed. The life rhythm check process here is abnormal when there is no evidence of electricity use in time zone c (703), that is, when the amount of power used for 30 minutes has never exceeded Min + (life threshold × 70%). Judgment is made and mail transmission is instructed (704).

  In the time zone d, the daily rhythm confirmation process (404) is performed every 30 minutes from 16:00 to 20:00 (manual tuning target). FIG. 8 shows a detailed flow. In the time zone d, after performing Min update processing (801), it is determined whether it is 20:00 (802). In the life rhythm confirmation process at 20:00, it is determined whether or not there is a trace of electricity usage in the time zone d (803). If there is no trace of usage, that is, the power consumption for 30 minutes is Min + (life threshold x 70%) or more If it does not occur once, it is determined that there is an abnormality and mail transmission is instructed (804).

  On the other hand, if there is a trace of electricity usage in time zone d, a bedtime detection process is performed at 20:00 (805), and if bedtime is more than 2 hours (manual tuning target) earlier than the expected bedtime (807), an abnormality is detected. Is instructed to send an e-mail (804). Note that in bedtime detection in the time zone d, automatic tuning of the expected bedtime and automatic tuning of the living threshold are not performed. By adjusting the boundary between the time zone d and the time zone e by manual tuning, the normal bedtime is operated so as to be in the time zone e.

  In the time zone e, a daily rhythm check process and a determination parameter tuning process (405) are performed every 30 minutes from 20:00 (manual tuning target) to bedtime. FIG. 9 shows a detailed flow. In the case of nighttime, the process of eliminating the influence of the electric water heater is performed (901 to 903).

  Next, Min update processing (904) and bedtime detection (905, 906) are performed. It is determined whether the detected bedtime is delayed by more than 2 hours (target for manual tuning) from the expected bedtime (907), and if it is delayed, mail transmission is instructed as abnormal (908). Also, when the bedtime is two hours (manual tuning target) or more earlier than the expected bedtime (909), mail transmission is instructed as an abnormality detection (910).

  If bedtime is detected within 2 hours of the expected time, the predicted bedtime is automatically tuned using the detected bedtime (in units of 30 minutes) (911). Tuning takes the weighted average of the expected bedtime and the detected bedtime to obtain a new expected bedtime. The degree of weighting is subject to manual tuning. When an abnormality is detected, the expected bedtime is not updated.

  Next, the living threshold value is tuned using the deviation from Min of the 30-minute power consumption at the detected bedtime (in units of 30 minutes) (912). Tuning takes the weighted average of the deviation from Min at the living threshold and the detected bedtime (in units of 30 minutes) as a new living threshold. The degree of weighting is subject to manual tuning. If an abnormality is detected, the life threshold is not updated. Moreover, if abnormality is detected, the 30-minute life rhythm confirmation process after the next will be performed assuming that bedtime is detected.

  The time zone f is a daily rhythm confirmation process (406) every 30 minutes from bedtime to 01:30 (manual tuning target). As shown in FIG. 10, Min update processing (1001) is performed. If bedtime cannot be detected even after 01:30, the 30-minute life rhythm confirmation process after the next is performed assuming that bedtime is detected.

  The example in which the life rhythm confirmation process and the determination parameter tuning process are executed by the communication terminal station 202 has been described above. According to the present embodiment, the parameter is automatically tuned from the data of the current expected life pattern time and the detected pattern occurrence time, so that the fluctuation of the parameter due to the season or the like can be absorbed. In addition, since the life rhythm confirmation process and the determination parameter tuning process are performed at the communication terminal station, there is an effect that the load on the server in the service center can be reduced.

  FIG. 11 shows a system configuration as an alternative to the first embodiment. In the second embodiment, the function of the communication terminal 202 is limited to reading the electric energy value from the watt hour meter, and the service providing server 209 executes the life rhythm confirmation process and the determination parameter tuning process. That is, the life rhythm confirmation processing means 204, the determination parameter tuning processing means 217 and the like are provided in the service providing server 209, and the life monitoring service for each user (watched side) is executed at the service center.

  According to the present embodiment, although the load of the service providing server 209 is heavy, the configuration of the user side communication terminal station is greatly reduced and the burden on the user can be reduced, which is advantageous for the introduction of this system. In addition, there is an effect that the life rhythm confirmation process and the determination parameter tuning process can be performed with higher accuracy by performing detailed statistical processing and analysis on the accumulated load survey data.

  FIG. 12 shows a system configuration as another alternative of the first embodiment. In the third embodiment, the communication terminal station 202 reads the electric energy value from the watt-hour meter 201 and the life rhythm confirmation process 204, and the determination parameter tuning process is executed by the service providing server. The determination parameter tuning process tunes, for example, an expected wake-up time or an expected bedtime, and may be tuned once a week to once a month as long as it corresponds to seasonal variations. On the other hand, the life rhythm confirmation process is performed in the communication terminal station 202 in the same manner as in the first embodiment, and the watching accuracy is improved as a value reflecting the current state of daily consumers.

  As described above, the present invention provides a service for watching the daily life of the elderly by using the information communication equipment to inform the family living away from the usage status of the equipment at the elderly's home and the detection status of the sensor. Applicable. In the future, as remote automatic metering of power consumption in general households becomes widespread, it is possible to realize the life monitoring service of the present invention using a communication terminal station of a watt-hour meter.

The block diagram of the life watching system by the amount of electric power used in one Example of this invention. An explanatory diagram of the outline of the rhythm of power consumption and the monitoring of life. Explanatory drawing which shows the influence exclusion process of an electric water heater. Explanatory drawing which shows the time zone division | segmentation and process sequence of a life rhythm confirmation process. The flowchart of a life rhythm confirmation process (time slot | zone a). The flowchart of a life rhythm confirmation process (time slot | zone b). The flowchart of a life rhythm confirmation process (time slot | zone c). The flowchart of a life rhythm confirmation process (time slot | zone d). The flowchart of a life rhythm confirmation process (time slot | zone e). The flowchart of a life rhythm confirmation process (time slot | zone f). The block diagram of the life watching system by the electric power consumption in the other Example of this invention. The block diagram of the life watch system by the electric power consumption in the further another Example of this invention.

Explanation of symbols

  201 ... Electricity meter, 202 ... Communication terminal station, 203 ... Meter reading processing means, 204 ... Life rhythm confirmation processing means, 205 ... 30-minute load survey database, 206 ... Judgment parameter storage means, 207 ... Check history storage means, 209 ... Service providing server, 210 ... Web page processing means for each user, 211 ... Mail address book for each user, 213 ... Mail transmission processing means, 214 ... Determination parameter setting screen processing means, 215 ... Internet, 216 ... User terminal, 217 ... Determination parameter Tuning processing means, 401 to 406... Processing of time zone a to time zone f.

Claims (11)

  Measure the power usage of the household on the side being watched, extract life patterns based on the power usage and compare with the expected parameters, and watch if the comparison result is outside the expected range from the expected parameters A life monitoring method based on power consumption, characterized in that it is determined that there is an abnormality on the side and reported to a predetermined contact.   The daily time is divided into a plurality of time zones according to the rhythm of power usage per day, and the first time zone is a time zone in which the wake-up is included in the life pattern. A life monitoring method based on power consumption, wherein when the wake-up is extracted from the usage, the wake-up time is determined to be abnormal if the wake-up time is out of an expected range with respect to the expected wake-up time as the predicted parameter.   3. The time period according to claim 1 or 2, wherein one day is divided into a plurality of time zones according to a rhythm of power usage per day, and the second time zone is a time zone in which bedtime is included in the life pattern. If the bedtime is extracted from the amount of power used, it is determined that there is an abnormality when the bedtime is out of the expected range with respect to the expected bedtime, which is the predicted parameter.   In Claim 3, the presence or absence of operation of the electric water heater is determined in the second time zone, and when the electric water heater is in operation, the electric water heater operation power usage amount is subtracted from the power usage amount of the time zone. A method of watching life based on the amount of electricity used.   5. The life monitoring method according to claim 1, wherein the prediction parameter is tuned based on an occurrence time of the extracted life pattern.   In Claim 1, 2, or 3, one day is divided into a plurality of time zones according to the rhythm of the daily power consumption, and the third time zone is a time zone in which the use of power is included in the life pattern. The life monitoring method based on power consumption, characterized in that it is determined that there is an abnormality when it is not possible to confirm that the power usage is in the power consumption during the time period.   A life pattern is extracted based on the means of measuring the power usage of the household being watched over and the life rhythm of the measured power usage, and the presence / absence of an abnormality is determined by comparing the life pattern with its predicted parameters. And a means for reporting to a predetermined contact based on the result of the determination, a life monitoring system based on electric power consumption.   8. The life monitoring system according to claim 7, further comprising parameter tuning means for tuning the predicted parameter based on the time of occurrence of the extracted life pattern. The service providing server in the service center is connected to the monitored communication terminal station and the monitoring terminal by communication lines, respectively.
The communication terminal station extracts a life pattern based on the measured power consumption and a life rhythm for determining the presence / absence of an abnormality by comparing the life pattern with the predicted parameter. Confirmation means, and parameter tuning means for tuning the predicted parameter based on the occurrence time of the extracted life pattern,
The providing server is provided with means for reporting to the contact when the communication terminal determines that the communication is abnormal and has requested a report to a predetermined contact, and reports to the corresponding monitoring terminal. A life monitoring system based on power consumption. The service providing server in the service center is connected to the monitored communication terminal station and the monitoring terminal by communication lines, respectively.
The communication terminal station comprises means for measuring power usage,
The service providing server extracts a life pattern based on the measured power consumption, compares the life pattern with the predicted parameter, and determines a life rhythm confirmation means for determining the presence or absence of an abnormality, and the extracted life pattern A life monitoring system based on power consumption, comprising: parameter tuning means for tuning the predicted parameter based on the occurrence time; and means for reporting to a terminal on the watching side that is determined in advance when there is an abnormality. The service providing server in the service center is connected to the monitored communication terminal station and the monitoring terminal by communication lines, respectively.
The communication terminal station extracts a life pattern based on the measured power consumption and a life rhythm for determining the presence / absence of an abnormality by comparing the life pattern with the predicted parameter. With verification means,
The service providing server includes a parameter tuning unit that tunes the prediction parameter based on the time of occurrence of the extracted life pattern, and a unit that reports to a predetermined terminal on the watch side when there is an abnormality. Life monitoring system based on the amount of electricity used.

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