CN115009943B - Method, apparatus and system for tracking target objects within a building - Google Patents
Method, apparatus and system for tracking target objects within a building Download PDFInfo
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- CN115009943B CN115009943B CN202210533138.2A CN202210533138A CN115009943B CN 115009943 B CN115009943 B CN 115009943B CN 202210533138 A CN202210533138 A CN 202210533138A CN 115009943 B CN115009943 B CN 115009943B
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000001514 detection method Methods 0.000 claims abstract description 81
- 230000004044 response Effects 0.000 claims abstract description 10
- 239000004035 construction material Substances 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 11
- 238000010276 construction Methods 0.000 description 15
- 238000010586 diagram Methods 0.000 description 9
- 239000011083 cement mortar Substances 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- 238000004590 computer program Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000004927 clay Substances 0.000 description 2
- 239000000470 constituent Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3476—Load weighing or car passenger counting devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mechanical Engineering (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The present disclosure provides methods, devices, and systems for tracking a target object within a building. The method comprises the following steps: receiving elevator operation data for an elevator within the building; generating a trigger signal for triggering detection of a target object in the car in response to the elevator operation data indicating a closing of the car of the elevator; receiving detection data generated by detecting the target object; and determining the type of the target objects in the car and the number of the target objects of each type when the car is closed at the current floor according to the detection data and the current floor indicated by the elevator operation data.
Description
Technical Field
The present disclosure relates to methods, devices, and systems for tracking a target object within a building.
Background
During construction of a building, knowledge of construction materials and statistics of construction personnel (e.g., type and number) entering floors within the building helps to supervise the construction process, keep track of the latest construction progress and shorten the construction period, especially for large buildings. The solution adopted at present is to arrange signal transmitters on construction materials and constructors and signal receivers in buildings. The signal receiver infers construction material or construction personnel statistics entering the building from the signals received from the signal transmitter. However, due to propagation loss of signals within the building (e.g., difficulty in penetrating the shear wall), multiple signal receivers may need to be placed at different locations within the building to collect all or most of the construction materials and signals transmitted by the signal transmitters of the constructors, which results in expensive costs.
Disclosure of Invention
In view of the above, an aspect of the present disclosure provides a method for tracking a target object within a building. The method comprises the following steps: receiving elevator operation data of an elevator in a building; generating a trigger signal for triggering detection of a target object in the car in response to the elevator operation data indicating a door closing of the car of the elevator; receiving detection data generated by detecting a target object; and determining the type of the target objects in the car and the number of the target objects of each type when the car is closed at the current floor according to the detection data and the current floor indicated by the elevator operation data.
Optionally, the method further comprises: comparing the type of the target object determined for the current door closing of the car and the number of the target objects of each type with the type of the target object determined for the previous door closing of the car and the number of the target objects of each type; and updating the distribution of the target objects in the building based on the comparison and the floor at which the car is located when the door is closed.
Optionally, updating the distribution of the target objects within the building based on the comparison and the floor at which the car was at the time of the closing includes decreasing the number of target objects of the first type of the floor at which the car was at the time of the closing by a first amount if the number of target objects of the first type determined for the current closing of the car is increased by the first amount from the number of target objects of the first type determined for the previous closing of the car; and/or increasing the number of the second type of target objects of the floor where the car is located at the time of the current door closing by a second number if the number of the second type of target objects determined for the current door closing of the car is reduced by the second number from the number of the second type of target objects determined for the previous door closing of the car.
Alternatively, the detection data includes tag data obtained by reading an electronic tag attached to the target object.
Alternatively, the tag data includes a plurality of tag data generated by performing reading of an electronic tag attached to the target object a plurality of times at predetermined time intervals; and wherein receiving the detection data includes retaining tag data of the largest number of target objects included in the plurality of tag data as the detection data and discarding remaining tag data of the plurality of tag data.
Optionally, the detection data comprises image data obtained by capturing an image of the target object by the image acquisition device.
Optionally, the target object includes a constructor and a construction material.
Another aspect of the present disclosure provides an apparatus for tracking a target object within a building. The device comprises a communication unit and a processing unit. The communication unit is configured to receive elevator operation data of an elevator in a building and to receive detection data generated by detecting a target object in a car. The processing unit is configured to instruct a door closing of a car of the elevator in response to elevator operation data, generate a trigger signal for triggering detection of a target object within the car; and determining the type of the target objects in the car and the number of the target objects of each type when the car is closed at the current floor according to the detection data and the current floor indicated by the elevator operation data.
Optionally, the processing unit is further configured to compare the type of the target object determined for the current door closing of the car and the number of target objects of each type with the type of the target object determined for the previous door closing of the car and the number of target objects of each type; and updating the distribution of the target objects in the building based on the comparison and the floor at which the car is located when the door is closed.
Optionally, the processing unit is further configured to reduce the number of the first type of target objects of the floor on which the car is located at the time of the current door closing by a first number if the number of the first type of target objects determined for the current door closing of the car is increased by the first number from the number of the first type of target objects determined for the previous door closing of the car; and/or increasing the number of the second type of target objects of the floor where the car is located at the time of the current door closing by a second number if the number of the second type of target objects determined for the current door closing of the car is reduced by the second number from the number of the second type of target objects determined for the previous door closing of the car.
Yet another aspect of the present disclosure provides a system for tracking a target object within a building. The system comprises a device for tracking a target object within a building, an elevator control cabinet and a detection device as before. The elevator control cabinet is configured to generate elevator operation data. The detection device is disposed within a car of the elevator and is configured to receive the trigger signal to perform detection of a target object within the car and generate detection data.
Optionally, the detection device includes a tag reading means for reading an electronic tag of a target object attached in the car to generate tag data, the detection data includes the tag data, and the electronic tag is associated with the type and the number of the target object.
Optionally, the tag reading device performs reading of the electronic tag of the target object attached in the car a plurality of times at predetermined time intervals to generate a plurality of tag data; the processing unit reserves, as detection data, tag data containing the largest number of target objects among the plurality of tag data and discards remaining tag data among the plurality of tag data.
Optionally, the detection apparatus further comprises image capturing means for capturing image data generated from an image of a target object within the car, and the detection data comprises image data.
Methods, apparatus, and systems for tracking a target object within a building provided according to aspects of the present disclosure utilize detection apparatus disposed within a car of an elevator in conjunction with elevator operational data to determine statistical information of the target object entering the car, saving cost and improving accuracy over currently employed solutions.
Drawings
Aspects, features, and advantages of the present disclosure will become more apparent and more readily appreciated from the following description of the embodiments of the disclosure taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a schematic diagram illustrating a system for tracking a target object within a building according to an embodiment of the present disclosure;
FIG. 2 is a diagram illustrating an example of operation using a system for tracking a target object within a building according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart diagram illustrating a method for tracking a target object within a building according to an embodiment of the present disclosure; and
fig. 4 is a schematic block diagram illustrating an apparatus for tracking a target object within a building according to an embodiment of the present disclosure.
Detailed Description
The present disclosure will be described in detail below with reference to exemplary embodiments thereof. However, the present disclosure is not limited to the embodiments described herein, which may be embodied in many different forms. The described embodiments are intended only to provide a thorough and complete understanding of the present disclosure and to fully convey the concept of the present disclosure to those skilled in the art. Features of the various embodiments described may be combined with or substituted for one another, unless expressly excluded or excluded depending on the context.
In the drawings, the same reference numerals denote constituent parts of the same or similar structures or functions, and a repetitive description thereof will be omitted from the following description.
Fig. 1 is a schematic diagram illustrating a system 100 for tracking a target object within a building according to an embodiment of the present disclosure. The materials and/or workers entering the building during construction of the building are hereinafter referred to as target objects, including, for example, cement mortars, floor tiles, masons, plumbers, carpenters, etc.
Referring to fig. 1, a system 100 includes an elevator control cabinet 110, an apparatus 120 for tracking a target object within a building according to an embodiment of the present disclosure, and a detection apparatus 130 disposed within an elevator car.
The elevator control cabinet 110 is a device for controlling the operation of an elevator, which is located in the machine room or hoistway of the elevator. The elevator control cabinet 110 starts or stops, accelerates or decelerates, opens or closes a door, etc. of the car of the elevator according to an instruction for controlling the operation of the elevator. These instructions include, for example, instructions generated by a passenger pressing a button in the car of the elevator, instructions generated by an administrator of the elevator machine room using inputs provided by a human-machine interface associated with the elevator, etc. Any elevator operation-related data such as these instructions, the responsive actions that the elevator makes with respect to these instructions, elevator status data, etc. are collectively referred to herein as elevator operation data. The elevator operation data can thus indicate the door closing of the car of the elevator, the floor and time at which the car is located when the door is closed, etc. Since the elevator control cabinet is a well known device to those skilled in the art, it is not described in detail herein so as not to obscure the disclosure.
The apparatus 120 for tracking target objects within a building according to embodiments of the present disclosure may be implemented in an independent computing entity or a distributed computing environment across multiple independent computing entities. For example, the device 120 may be any form of processing means, such as a computer, server, smart phone, smart wearable device, or other electronic device, that provides standalone or distributed computing resources that enable the functionality of the device 120 described herein to be implemented by executing computer program instructions. The apparatus 120 may be located inside or outside the elevator system. The device 120 receives elevator operation data from the elevator control cabinet 110. In one example, the device 120 communicates with the elevator control 110 using any one of a number of known wired or wireless communication means, and the elevator control 110 may be configured to send elevator operation data to the device 120 at predetermined intervals or under predetermined conditions, or the device 120 may be configured to read elevator operation data from the elevator control 110 at predetermined intervals or under predetermined conditions. The preset condition may be, for example, the closing of a door of a car of an elevator. In another example, the device 120 and the elevator control 110 are both communicatively coupled to an intermediate platform. The intermediate platform may be, for example, a KONE 24/7 internet of things cloud platform developed by the power elevator limited company. The elevator control 110 stores elevator operation data to an intermediate platform, which may be configured to send elevator operation data to the device 120 at predetermined periods or under preset conditions, or may be configured to read elevator operation data from the intermediate platform at predetermined periods or under preset conditions.
The detection device 130 is arranged in the car of the elevator. The detection device 130 is a device such as a sensor or a camera capable of performing detection of a target object entering the car. The detection device 130 may include only a tag reading apparatus 131 capable of reading an electronic tag attached to a target object entering the car to generate tag data. The tag data is sent to the device 120 for the device 120 to extract statistical information about the target object. The detection device 130 may also include only an image capturing apparatus 132 capable of capturing an image of a target object entering the car to generate image data. The image data is sent to the device 120 for the device 120 to extract statistical information about the target object. The image data here does not exclude video data and audio data. The detection device 130 may also comprise both tag reading means 131 and image capturing means 132, in which case tag data together with image data are sent to the device 120. According to the pre-configuration of the tag reading device 131 and the image capturing device 132, the target object reflected by the tag data and the target object reflected by the image data may be non-overlapping, and the apparatus 120 obtains statistical information of all the target objects by combining information about a part of the target objects (for example, only construction materials) extracted from the tag data and information about another part of the target objects (for example, only construction workers) extracted from the image data. Alternatively, the target object reflected by the tag data and the target object reflected by the image data may be overlapped, and the apparatus 120 obtains statistical information of all the target objects by combining information about the target objects (e.g., construction materials and construction workers) extracted from the tag data and information about the target objects (e.g., construction workers) extracted from the image data and filtering the information about the overlapped target objects (e.g., construction workers).
The one elevator, one tag reading device 131 and one image capturing device 132 shown in fig. 1 are for example only. The number of elevators may be plural, and the number of tag reading devices 131 and/or image capturing devices 132 may be plural.
The operation of the system 100 to obtain statistical information of a target object is described below in one specific example.
Fig. 2 is a diagram illustrating an example of operation using the system 100 for tracking a target object within a building according to an embodiment of the present disclosure.
For convenience of explanation hereinafter, in this example, only 1 elevator is set for tracking a target object within a building. A detection device 130 including both a tag reading device 131 and an image capturing device 132 is installed in the car 201 of the elevator. The tag reading device 131 is preconfigured to read an electronic tag as a target object of construction material, and the image capturing device 132 is preconfigured to capture images of all the target objects in the car. The elevator control cabinet 110 communicates with the apparatus 120 and is configured to send elevator operation data to the apparatus 120 with the door closing of the car 201 as a preset condition.
At time t n-1 The car 201 is at the first floor F 1 A door closing occurs after which there is no target object in the car 201. The elevator control 110 will correspond to time t n-1 Is transmitted to the apparatus 120. The device 120 receives the elevator operation data and generates a trigger signal for triggering detection of a target object within the car 201 in response to the elevator operation data indicating a door closing of the car 201. The trigger signal is sent to the detection device 130. The detection device 130 receives the trigger signal, performs detection of the target object in the car 201, and generates detection data. Since there are no target objects in the car 201, the device 120 will determine that the car is at time t, since no information for any target object is extracted from the detected data n-1 The target object entering the car when the door is closed is zero.
As shown, the target object is known at time t n-1 The distribution of (2) is: first floor F 1 There are 3 target objects T1, 3 target objects T2, 1 target object C1, 2 target objects C2 and 1 target object P, 1 target object M and 2 target objects W, a second floor F 2 There are 2 objects P and 2 objects M on the third floor F3. Wherein T1, T2, C1 and C2 belong to construction materials, and P, W and M belong to construction personnel.
At time t n The car 201 is again at the first floor F 1 A door closing occurs and some target objects enter the car 201. The elevator control 110 will correspond to time t n Elevator operation data transmissionTo the device 120. The device 120 receives the elevator operation data and generates a trigger signal for triggering detection of a target object within the car 201 in response to the elevator operation data indicating a door closing of the car 201. The trigger signal is sent to the detection device 130. The detection device 130 receives the trigger signal to perform detection of the target objects within the car 201, and generates detection data.
As shown, at time t n The target objects entering the car 201 include 3T 1, 3T 2, 1C 1, 1C 2, and 1P and 1M. Each of the target objects T1, T2, C1 and C2 as construction materials is attached with an electronic tag L, respectively T1 、L T2 、L C1 And L C2 . These electronic labels L T1 、L T2 、L C1 And L C2 Associated with the type and number of target objects T1, T2, C1 and C2, respectively. Each of the target objects P, M, W as constructors is worn with a different color of a helmet, the color of which is associated with the type of constructor.
Upon receipt of the trigger signal by the detection device 130, the tag reading means 131 and the image capturing means 132 each perform detection of the target object within the car 201.
The tag reading device 131 reads the electronic tag L of each of the target objects T1, T2, C1, and C2, respectively T1 、L T2 、L C1 And L C2 Thereby generating tag data corresponding to each target object. In this example, the tag reading devices 131 read the electronic tags L of 3T 1, respectively T1 3 pieces of tag data containing a type field "T-80 x 80" and a number field "80" will be generated, each such piece of tag data representing that a tile of type 80cm x 80cm is detected and a number of 80 blocks. The tag reading device 131 reads 3T 2 electronic tags L, respectively T2 3 pieces of tag data containing a type field "T-60 x 60" and a number field "60" will be generated, each such piece of tag data representing that a tile of type 60cm x 60cm and a number of 60 tiles is detected. The tag reading device 131 reads 1C 1 electronic tag L C1 Will generate 1 bar containing type field "C-20" and number wordThe label data of section "5" indicating that cement mortar of type 20 kg/bag was detected and the number was 5 bags. The tag reading device 131 reads 1C 2 electronic tag L C2 1 tag data containing a type field "C-50" and a number field "2" indicating that cement mortar of type 50 kg/bag was detected and the number was 2 bags will be generated.
Electronic label L T1 、L T2 、L C1 And L C2 One or more tags such as Radio Frequency Identification (RFID) codes, two-dimensional codes, bar codes may be included. The functions of the tag reading device 131 may include one or more of an RFID code reading function, a two-dimensional code reading function, and a bar code reading function.
The image capturing device 132 captures an image of the target object to generate image data. In this example, the image capturing device 132 is set to be a camera for monitoring commonly existing in an elevator, and image data generated by image capturing of the entire environment within the car contains all target objects: 3T 1, 3T 2, 1C 1, 1C 2, and 1P, 1W, and 1M by constructors. Each of the target objects P, M, W is wearing a different colored helmet. The target object P wears a red helmet, indicating that its type is "plumber". The target object M wears a blue helmet, indicating that its type is "mason". The target subject W wears a yellow helmet, indicating that its type is "carpenter".
The tag data read by the tag reading means 131 and the image data captured by the image capturing means 132 are transmitted together as detection data to the device 120.
The device 120 receives the detection data and determines the type of target object within the car 201 and the number of target objects of each type at the time the car 201 closes on the current floor, based on the detection data and the current floor indicated by the elevator run data.
In this example, the target object reflected by the tag data includes only the construction material, and the target object reflected by the image data includes both the construction material and the constructor, so there is an overlap therebetween. To simplify the numberAccording to the process, the device 120 may be preset to have the function of recognizing only the color and number of helmets in the image data, which may be implemented by one or more known machine learning algorithms. For example, this function is learned with images of a person wearing a helmet collected over a long period of time in the past as training data. In this way, upon receiving the detection data, the device 120 can identify 3 pieces of tag data including the type field "T-80×80" and the number field "80", 3 pieces of tag data including the type field "T-60×60" and the number field "60", 1 piece of tag data including the type field "C-20" and the number field "5", 1 piece of tag data including the type field "C-50" and the number field "2", 1 piece of red helmets, 1 piece of blue helmets, and 1 piece of yellow helmets from the detection data. The device 120 also receives a signal corresponding to time t n The elevator operation data of (1) identifies that the floor on which the car 201 is located when the door is closed is the first floor F 1 . The device 120 thus determines that the car 201 is at time t n At the first floor F 1 The types of the target objects in the car 201 and the number of target objects of each type at the time of closing the door are shown in table 1.
TABLE 1
In this manner, the system 100 can obtain statistical information of a target object of a floor by arranging the detecting device 130 in the car 201 of an elevator of a building in combination with floor information reflected by elevator operation data. The statistics of the target objects entering the building can be obtained by obtaining the statistics of the target objects of other floors in the same way. The system 100 provides significant cost savings over solutions that acquire statistics of target objects by arranging signal receivers at one or more locations on each floor of a building and attaching signal transmitters on each target object.
In variations of this example, in some cases, to avoid the detection device 130 from missing in detecting the target object within the car 210The tag reading device 131 may be preset to perform reading of the electronic tag attached to a certain target object at predetermined time intervals for each target object a plurality of times, thereby generating a plurality of tag data for the target object. Each of the plurality of tag data may include a field for indicating a target object for which it is intended, for example, using a unique serial number of an electronic tag attached to the target object as the content of the field. After the plurality of tag data is transmitted together to the device 120, the device 120 may determine that the plurality of tag data is for the same target object based on the field indicating the target object for which it is intended. The device 120 retains the one of the plurality of tag data for the same target object for which the indicated target object is the largest in number, and discards the remaining tag data of the plurality of tag data. For example, in the example described above, the tag reading device 131 reads 2 times for the target object C1, 2 tag data L are generated C1-1 And L C1-2 Tag data L C1-1 The number field of (1) is 4, L C1-2 The number field is 5, then the device 20 retains the tag L C1-2 While discarding label L C1-1 . Similarly, image capture device 132 may also perform image capture actions multiple times, thereby producing multiple image data. The device 120 identifies the type and number of helmets in each image data and retains the image data from which the total number of helmets identified is the largest while discarding the remaining image data. In this way, the accuracy of the detection of the target object can be further improved.
Further, to monitor the construction process, master the latest construction progress and shorten the construction period, it may be desirable to track the real-time distribution of the target objects entering the building at each floor within the building to understand the flow of the target objects between floors, ensuring reasonable scheduling and supply of the target objects.
In the aforementioned solution of acquiring statistical information of target objects by arranging signal receivers at a plurality of locations of a building and attaching signal transmitters on each target object, the floor on which the signal receiver is installed is known. The signal receiver estimates the distance between the target object and itself based on the degree of attenuation of the signal from the signal transmitter and deduces the floor on which the target object is located based on the distance. However, the accuracy of the distance between the target object estimated from the degree of attenuation of the signal and the signal receiver is low, which results in low accuracy of the inference result for the floor on which the target object is located.
The system 100 according to embodiments of the present disclosure may further track the flow of a target object entering a building between floors within the building to obtain a real-time distribution of the target object within the building, and improve accuracy compared to the previous solution of inferring the floor on which the target object is located based on the degree of attenuation of the signal.
The following continues with the previous specific example and fig. 2 to describe the operation of system 100 to track a target object within a building.
When the device 120 determines that the car 201 is at time t n At the first floor F 1 When the type and number of target objects in the car 201 are closed (as shown in Table 1), a first floor F can be determined 1 240 tiles 80 by 80, 180 tiles 60 by 60, 200 kg cement mortar, 1 plumber, 1 carpenter and 1 mason are reduced. The device 120 may update the distribution of the target object as follows: at the first floor F 1 240 tiles 80 x 80, 180 tiles 60 x 60, 200 kg cement mortar, 1 plumber, 1 carpenter, and 1 mason were removed from the target object. As shown in fig. 2, from time t n-1 The distribution of the update is time t n Is a distribution of (a).
At time t n+1 The car 201 is at the second floor F 2 Closing of the door occurs. Some of the objects leave the car 201 and others enter the car 201. The elevator control 110 will correspond to time t n+1 Is transmitted to the apparatus 120. The device 120, in response to the elevator operation data, instructs the closing of the car 201 to generate a trigger signal for triggering detection of a target object within the car 201. The trigger signal is sent to the detection device 130. The detecting device 130 performs detection of a target object within the car 201 and generates detectionData.
In the same manner as described above, the tag reading device 131 and the image capturing device 132 in the detecting apparatus 130 respectively execute reading of an electronic tag of a target object in the car 201 and capturing of an image of the target object in the car 201 to generate tag data and image data, respectively. These tag data and image data are transmitted together as detection data to the device 120.
From this detection data, the device 120 corresponds to a time t n+1 Second floor F indicated by elevator operation data 2 Determining the car 201 at time t n+1 At a second floor F 2 The type of target object in the car 201 and the number of target objects of each type when the door is closed are shown in table 2 below.
TABLE 2
Thereafter, the device further performs: comparing the type of the target object determined for the current door closing of the car 201 and the number of the target objects of each type (as in table 2) with the type of the target object determined for the previous door closing of the car 201 and the number of the target objects of each type (as in table 1), and based on the comparison and the floor (F) at which the car is located at the current door closing 2 ) To update the distribution of the target objects within the building.
The apparatus 120 can determine that the car 201 is at the second floor F by comparing table 1 and table 2 2 During the opening and closing of the door, the second floor F 2 240 tiles 80 by 80, 180 tiles 60 by 60 and 1 clay mason are added. The device 120 updates the distribution of the target object as follows: at a second floor F 2 240 tiles 80 by 80, 180 tiles 60 by 60, and 1 mason were added to the target object. As shown in fig. 2, from time t n The distribution of the update is time t n+1 Is a distribution of (a).
In this way, the system 100 can obtain the change of the target object of the floor by comparing the statistical information of the target object in the car obtained when the car is closed twice continuously and determining the floor when the car is closed in this time by combining the elevator operation data when the car is closed this time, thereby updating the distribution of the target object among the floors of the building in real time. Compared with the existing solution, the cost is saved and the accuracy is improved.
Fig. 3 is a flowchart illustrating a method 300 for tracking a target object within a building according to an embodiment of the present disclosure. The method 300 may be performed by the aforementioned device 120 for tracking a target object within a building. The method 300 includes steps S310 to S340.
In step S310 elevator operation data of an elevator in a building is received. For example, as described above in connection with fig. 1 and 2, the device 120 receives elevator operation data from an elevator control cabinet. The elevator operation data can indicate the door closing of the elevator car, the floor and time at which the car is located when the door is closed, etc.
In step S320, a trigger signal for triggering detection of a target object in the car is generated in response to the elevator operation data indicating a door closing of the car of the elevator. For example, as described above in connection with fig. 1 and 2, the device 120 generates a trigger signal to trigger the detection device 130 to detect a target object within the car 210 in response to elevator operation data indicating the closing of the car 210.
In step S330, detection data generated by detecting the target object is received. For example, as described above in connection with fig. 1 and 2, the detection apparatus 130 may comprise one or both of a data reading device 131 and an image capturing device 132 that generate tag data and/or image data by reading an electronic tag attached to a target object and capturing an image of the target object, respectively. These tag data and/or image data are received by the device 120 as detection data.
In step S340, the type of the target object in the car and the number of the target objects of each type when the car is closed at the current floor are determined according to the detection data and the current floor indicated by the elevator operation data. For example, as described above in connection with fig. 1 and 2, the device 120 determines the type and number of target objects as shown in tables 1 and 2 from the detection data received from the detection device 130.
As an additional aspect of the method 300, the method 300 may further comprise step S350.
In step S350, the device 120 compares the type of the target object determined for the current door closing of the car and the number of target objects of each type with the type of the target object determined for the previous door closing of the car and the number of target objects of each type, and updates the distribution of the target objects in the building based on the comparison and the floor at which the car was located at the current door closing.
In this step, the device 120 may determine a change in the number of target objects of the floor on which the car is located at the time of the door closing based on the comparison at each door closing of the car. The device 120 may decrease the number of the first type of target objects of the floor where the car is located at the time of the current door closing by the first number if the number of the first type of target objects determined for the current door closing of the car 210 is increased by the first number from the number of the first type of target objects determined for the previous door closing of the car 210; and/or increasing the number of second type target objects of the floor where the car 210 is located at the time of the current door closing by a second number if the number of second type target objects determined for the current door closing of the car 210 is reduced by the second number from the number of second type target objects determined for the previous door closing of the car 210.
For example, as described above in connection with fig. 1 and 2, car 201 is at t n Closing the door at the moment and at the floor of the first floor F 1 The device 120 determines the phase t of 80 x 80 tiles in the car 210 at this time n-1 240 blocks are added at a time, 180 blocks are added to 60 x 60 tiles, 200 kg to cement mortar is added, 1 block is added to each of plumbers, carpenters and clay masons (as shown in table 1), and then the apparatus 120 will be used for first floor F 1 The number of 80×80 tiles is reduced by 240, the number of 60×60 tiles is reduced by 180, the number of cement mortar is reduced by 200 kg, and the number of plumbers, woodworkers and masons is reduced by 1 respectively. Thereafter, the car 201 at t n+1 Closing door at moment and at floor of secondFloor F 2 The device 120 determines that the target object of 80 x 80 tiles is now within the car 210 compared to t n 240 times less, 180 tiles 60 x 60 less, and 1 tile (as shown in tables 1 and 2) then the device 120 will be a second floor F 2 The number of 80 x 80 tiles increases by 240, the number of 60 x 60 tiles increases by 180, and the number of mason's increases by 1.
In this way, each time the car is closed, the distribution of the target objects at a floor can be updated by estimating the change in the number of target objects of each type at that floor.
Portions of a method 300 for tracking a target object within a building according to embodiments of the present disclosure are described above in connection with only fig. 3, and the method 300 may refer to and reference the system 100 and additional aspects thereof described in connection with fig. 1 and 2, and the accompanying drawings. For example, one or more steps in method 300 may be modified to implement system 100 and additional aspects thereof described in connection with fig. 1 and 2. To avoid repetition, no further description is provided here.
Fig. 4 is a block diagram illustrating an apparatus 120 for tracking a target object within a building according to an embodiment of the present disclosure.
The device 120 may include a communication unit 410 and a processing unit 420. The communication unit 410 may receive elevator operation data from the elevator control cabinet (and/or intermediate platform) as previously described based on at least one known wired or wireless communication technique. The communication unit 410 provides an interface for communicating with any external unit (e.g., external storage and/or any external entity or system). The communication unit 410 may include one or more communication elements such as a radio transceiver, an antenna, and the like. The processing unit 420 may include one or more processors that, by executing computer program instructions, cause the device 120 to operate as previously described (e.g., as in steps S310-S360).
As an additional aspect of the device 120, the device 120 may also include a storage unit 430 and an interface unit 440. The storage unit 430 may store computer program instructions executed by the processor, results of the processor executing the computer program instructions, elevator operation data received by the communication unit 410, and the like. The interface unit 440 may include input/output devices such as buttons, a keyboard, a touch screen, a microphone, a speaker, a display, and the like to receive input and output information.
The block diagrams of systems, devices, and methods referred to in this disclosure are illustrative examples only and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, systems may be connected, arranged, configured in any manner so long as the desired purpose is achieved.
It will be appreciated by persons skilled in the art that the above-described embodiments are merely examples and that various modifications, combinations, partial combinations and substitutions may be made to the embodiments of the present disclosure according to design requirements and other factors, provided that they fall within the scope of the appended claims or their equivalents, i.e., within the scope of the claims to be protected by the present disclosure.
Claims (12)
1. A method for tracking a target object within a building, comprising:
receiving elevator operation data for an elevator within the building;
generating a trigger signal for triggering detection of a target object in the car in response to the elevator operation data indicating a closing of the car of the elevator;
receiving detection data generated by detecting the target object;
determining the type of the target objects in the elevator car and the number of the target objects of each type when the elevator car is closed at the current floor according to the detection data and the current floor indicated by the elevator operation data;
comparing the type of the target object determined for the current door closing of the car and the number of the target objects of each type with the type of the target object determined for the previous door closing of the car and the number of the target objects of each type; and
and updating the distribution of the target objects in the building based on the comparison and the floor where the car is located when the door is closed.
2. The method of claim 1, wherein updating the distribution of the target objects within the building based on the comparison and the floor at which the car was at the time of the closing of the door comprises:
reducing the number of target objects of the first type of the floor on which the car is located at the time of the current door closing by a first number if the number of target objects of the first type determined for the current door closing of the car is increased by the first number from the number of target objects of the first type determined for the previous door closing of the car; and/or
And when the number of the second type of target objects determined for the current door closing of the car is reduced by a second number from the number of the second type of target objects determined for the previous door closing of the car, increasing the number of the second type of target objects of the floor where the car is located at the current door closing by a second number.
3. The method of claim 1, wherein,
the detection data includes tag data obtained by reading an electronic tag attached to the target object.
4. The method of claim 3, wherein,
the tag data includes a plurality of tag data generated by performing reading of an electronic tag attached to the target object a plurality of times at predetermined time intervals; and is also provided with
Wherein receiving the detection data comprises:
and reserving the tag data with the largest number of the target objects contained in the plurality of tag data as the detection data and discarding the rest tag data in the plurality of tag data.
5. The method according to any one of claims 1 to 4, wherein,
the detection data includes image data obtained by capturing an image of the target object by an image capturing device.
6. The method of claim 1, wherein,
the target object comprises constructors and construction materials.
7. An apparatus for tracking a target object within a building, comprising:
a communication unit configured to receive elevator operation data of an elevator in the building and to receive detection data generated by detecting a target object in a car of the elevator; and
a processing unit configured to:
generating a trigger signal for triggering detection of a target object in the car in response to the elevator operation data indicating a closing of the car of the elevator;
determining the type of the target objects in the car and the number of the target objects of each type when the car is closed at the current floor according to the detection data and the current floor indicated by the elevator operation data,
comparing the type of the target object determined for the current door closing of the car and the number of the target objects of each type with the type of the target object determined for the previous door closing of the car and the number of the target objects of each type; and
and updating the distribution of the target objects in the building based on the comparison and the floor where the car is located when the car is closed.
8. The device of claim 7, wherein the processing unit is further configured to:
reducing the number of target objects of the first type of the floor on which the car is located at the time of the current door closing by a first number if the number of target objects of the first type determined for the current door closing of the car is increased by the first number from the number of target objects of the first type determined for the previous door closing of the car; and/or
And when the number of the second type of target objects determined for the current door closing of the car is reduced by a second number from the number of the second type of target objects determined for the previous door closing of the car, increasing the number of the second type of target objects of the floor where the car is located at the current door closing by a second number.
9. A system for tracking a target object within a building, comprising:
the apparatus of any one of claims 7 to 8;
an elevator control cabinet configured to generate the elevator operation data;
a detection device disposed within a car of the elevator, configured to receive the trigger signal, perform detection of a target object within the car, and generate the detection data.
10. The system of claim 9, wherein,
the detection apparatus includes tag reading means for reading an electronic tag of a target object attached within the car to generate tag data;
the detection data includes the tag data; and
the electronic tag is associated with a type and a number of the target object.
11. The system of claim 10, wherein,
the tag reading device performs reading of an electronic tag of a target object attached within the car a plurality of times at predetermined time intervals to generate a plurality of tag data;
the processing unit reserves, as the detection data, tag data including the maximum number of the target objects among the plurality of tag data and discards remaining tag data among the plurality of tag data.
12. The system according to claim 10 or 11, wherein,
the detection apparatus further includes image capturing means for capturing image data generated from an image of a target object within the car;
the detection data further includes the image data.
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