JP5176402B2 - Passage retention information management system and program - Google Patents

Description

  The present invention relates to an information management system for obtaining a passage residence time of a person in a facility.

Conventionally, a passing number detection system and a traffic volume detection system using various sensors have been proposed (Patent Document 1, Patent Document 2, Patent Document 3).
JP-A-8-63694 JP 2000-268286 A JP 2004-288120 A

Patent Document 1 proposes a method of installing an ultrasonic sensor and counting the number of vehicles passing under the ultrasonic sensor. The time difference until the ultrasonic waves bounce off the road surface and the car is converted into electric pulses, and the number of pulses is counted as the number of vehicles. The counted number of vehicles is sent from a radio control station attached to a support leg or the like to which a sensor is attached to a radio base station, and is collected to a counting station through a public line, and a traffic volume survey is performed.
Moreover, patent document 2 has proposed the system which detects the presence or absence and location of the water leak of a water pipe using a sound sensor. A plurality of sound sensors are installed, and each sound sensor is equipped with a clock means for obtaining time. Along with the data obtained by the sound sensor, the time information obtained by the clock means is wirelessly transmitted to the counting station, where the presence or absence of water leakage is analyzed.
Further, Patent Document 3 counts the number of people based on data obtained from an information input terminal including sensors such as a ticket gate of a station, sensors provided at doorways, and sensors for getting on and off an elevator, and enables real-time reference. A system is proposed. A plurality of information input terminals are connected to a total processing device for each facility, and the total processing device for each facility is connected to a total processing device for each region, and this is connected to a database. The information input terminal is premised on sending the position information, the counted number information, and the counted time information to the counting processing device.

  However, the system of Patent Document 1 has a problem that there is no means for obtaining the detection time of the number of vehicles, and the detection time cannot be managed. Further, although the number of passing vehicles can be counted by using the number of electric pulses as a coefficient, the staying time cannot be detected.

In addition, the systems of Patent Document 2 and Patent Document 3 are premised on that the sensor device is equipped with a clock in order to detect time. That is, there is a problem that time management cannot be performed without a time calculation function on the sensor device side.
On the other hand, if a clock means is provided on each sensor device side, there is a problem that the cost increases. Moreover, even if each sensor device is equipped with a clock means, it is necessary to synchronize all the clocks, and there is a problem that the means for synchronizing costs.

  The present invention has been made in view of such problems, and an object of the present invention is to provide a passing residence information management system using a low-cost sensor device that does not have a time detection function.

According to a first aspect of the present invention, there is provided a human sensor terminal for detecting the presence of a person in the vicinity and transmitting time-series data indicating the presence or absence of a person, and the human sensor terminal. A plurality of sensor aggregation transfer access point terminals that are installed in a facility and collect the time series data transmitted from the human sensor terminal and generate transfer data; and the plurality of sensor aggregation transfer access point terminals and a network are connected via calculates the time a person based on the transfer data is passed to be transmitted from said plurality of sensors aggregate transfer access point terminal, that Yusuke and information management server to determine the passing people and residence time, the passage a excessive residence information management system, the person detecting sensor terminal, said sensor a sensor for sensing a person, the predetermined time intervals of the internal clock of the CPU Sensor data acquisition means for acquiring sensor data with a value indicating that a person is detected or a value indicating that a person is not detected, and a predetermined number of sensor data acquisition means acquired by the sensor data acquisition means Comparing a predetermined value with a total value of sensor data, if the total value exceeds the predetermined value, it is determined that “there is a person” within a time determined by the predetermined time interval × the predetermined number, Human detection means for determining that there is no person when the total value is less than or equal to the predetermined value; time-series data indicating the presence or absence of a second predetermined number of persons determined by the human detection means; Sensor terminal data transmission means for broadcasting the sensor terminal data consisting of a sensor ID designated for each human sensor terminal and a packet ID of the time-series data a plurality of times, The access point terminal receives the sensor terminal data transmitted from the human sensor terminal, and also receives a first reception unit that associates a reception time with the sensor terminal data, and the first reception unit receives the sensor terminal data. When detecting two or more sensor terminal data in which both the sensor ID and the packet ID included in the sensor terminal data match, only one of them is acquired as valid sensor terminal data. Transfer data transmitting means for transmitting the effective sensor terminal data obtained by the effective sensor data determining means and the transfer data consisting of the corresponding reception time to the information management server via the network And a passing residence information management system.

Meanwhile, the information management server is included the in the transfer data received by the second receiving means and said second receiving means for receiving the transfer data transmitted from the plurality of sensors aggregate transfer the access point terminal Valid transfer data determination means for acquiring only one of the transfer data as valid transfer data when two or more transfer data in which both the sensor ID and the packet ID match are detected; and the valid transfer data determination Based on the time-series data in the effective transfer data obtained by the means and the reception time, a person detection time calculation means for calculating a time when a person is located around the human sensor terminal, and the person detection time from the time where the man calculated by the calculation means, passing people within a predetermined time, dwell time, and analyzing means for determining at least one of the accumulated passage number The human detection time calculation means includes the second of the valid transfer data for a time when there is a person around the human sensor terminal corresponding to the sensor ID in the valid transfer data. Of the time-series data indicating the presence or absence of a predetermined number of people, assuming that there is a person in the part indicating that “there is a person” continuously, if the first part of the part is i and the last part is j, the part The start time and the end time at which the person is present are as follows: start time = the reception time− (the second predetermined number−i) × (the predetermined time interval × the time determined by the predetermined number), end time = the above The reception time-(the second predetermined number-j) x (the predetermined time interval x the time determined by the predetermined number), and the analysis means is the human sensor terminal corresponding to the sensor ID. Every time, within the predetermined time The number of passing persons is determined by accumulating the person who is said to have the person detection time calculation means within the predetermined time as 1, and the residence time is determined for the person who has said person detection time calculation means. It is obtained as a difference between the start time and the end time, and the accumulated passing number is obtained as a cumulative value of the passing number every predetermined time.

The sensor is preferably a thermal sensor that senses a human body temperature.
Further, a terminal is further installed in the facility where the human sensor terminal is installed, connected to the information management server via the network, and the number of people passing and the residence time within a predetermined time determined by the analyzing means are calculated. You may make it display.
The sensor terminal data transmitting means may transmit the time-series data, the sensor ID, and the packet ID together with the sensor terminal data in addition to the sensor terminal data, in addition to the sensor terminal data. Good.
The human detection time calculating means obtains a time interval of the time series data from a difference between the reception times of two time series data having the same sensor ID and consecutive packet IDs, and You may make it improve the calculation precision of the time when a person exists around a sensor terminal.

In the above first invention, first, the sensor data acquisition means of the human sensor terminal acquires sensor data detected by the sensor at predetermined time intervals, and when a predetermined number of acquired sensor data is collected, The human detection means determines the presence / absence of a person within a time determined by a predetermined time interval × a predetermined number, and the sensor terminal data transmission means indicates the sensor ID and the time series using the presence / absence of a person within each time as time series data. Along with the packet ID, it is wirelessly transmitted to a plurality of sensor summary transfer access point terminals installed in the same facility.
At this time, the same sensor terminal data is broadcasted a plurality of times in consideration of instability of wireless transmission / reception due to radio wave interference and the like, and cases where the sensor aggregation transfer access point terminal is not operating.

  Each sensor total transfer access point terminal receives the sensor terminal data transmitted from the human sensor terminal by the first receiving means, but considers the case where the same sensor terminal data is received in duplicate, The data determination unit refers to the sensor ID and the packet ID included in the sensor terminal data, and deletes the duplicated sensor terminal data. Then, the transfer data transmission means transmits the transfer data including the effective sensor terminal data obtained as a result and the reception time of the sensor terminal data to the information management server via the network.

  The information management server receives the transfer data transmitted from each sensor total transfer access point terminal by the second receiving means. At this time, since there is a possibility that the same transfer data is received from a plurality of sensor total transfer access point terminals due to broadcast transmission of the human sensor terminal, the valid transfer data determination means uses the sensor ID included in the transfer data. The duplicate transfer data is deleted based on the packet ID, and then the time when the person detection time calculation means has a person around the human sensor terminal based on the time series data and the reception time in the valid transfer data Is calculated. From the time when this person was present, the analysis means calculates the number of passing people, the staying time, and the cumulative number of passing people.

According to a second aspect of the present invention, there is provided a program for causing a computer to function as the passing stagnation information management system according to the first to sixth aspects.

  ADVANTAGE OF THE INVENTION According to this invention, even if it is a sensor device which is not equipped with the time calculation function, it becomes possible to provide the passage retention information management system which can manage time information.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings.
First, the system configuration of the passing residence information management system 1 according to the embodiment of the present invention will be described with reference to FIG.
FIG. 1 is a block diagram showing the configuration of the passing residence information management system 1.

  As shown in FIG. 1, the passage retention information management system 1 is a human sensor terminal 3 (3a, 3b,..., 3m) installed in various facilities 21 such as a conference hall, an exhibition hall, a store, and a museum. And the total transfer point 5 (5a, 5b,..., 5n) installed in the facility 21 and the venue terminal 7, the total transfer point 5 and the venue terminal 7 in the facility 21, and the HTTP communication network such as the Internet. The remote information management server 11 is configured to be able to communicate via the communication terminal 31.

The human sensor terminal 3 is installed one by one at various places where people in the facility 21 pass and stay. For example, it is conceivable to install several tens of devices at the entrance of each conference venue or at various product shelves in the store.
On the other hand, the total number of transfer points 5 may be smaller than the number of the human sensor terminals 3, for example, several. One summary transfer point 5 collects data of a plurality of human sensor terminals 3 capable of wireless communication, and transfers the data to a remote information management server 11.

The information management server 11 includes an information analysis server 13 and a recording server 15.
The information analysis server 13 analyzes a person's passing residence time based on the data transmitted from the total transfer point 5. Information obtained by the analysis is stored in the recording server 15.
On the other hand, the venue terminal 7 in the facility 21 is analyzed by the information analysis server 13 of the remote information management server 11 and receives the passage retention information and the like stored in the recording server 15 via the HTTP communication network 31 such as the Internet. And display.

Next, the configuration of each device will be described.
2 is a hardware configuration diagram of the human sensor terminal 3, FIG. 3 is a hardware configuration diagram of the total transfer point 5, and FIG. 4 is a hardware configuration diagram of the hall terminal 7 and the information management server 11.

  As shown in FIG. 2, the human sensor terminal 3 includes a sensor module 31, a CPU (Central Processing Unit) 34, a ROM (Read Only Memory) 35, a RAM (Random Access Memory) 36, a wireless communication interface unit 33, The power switch 32 and the like are connected via a bus 37.

  The sensor module 31 is a sensor that senses a person, for example, a thermal sensor that senses a difference between a human body temperature and an ambient temperature. For example, when a temperature higher than the ambient temperature is detected, Output “high” voltage, otherwise output “low” voltage.

The CPU 34 calls and executes a program stored in the ROM 35 in a work memory area on the RAM 36, drives and controls each device connected via the bus 37, and each means (see FIG. 5) of the human sensor terminal 3 described later. ).
The ROM 35 holds programs and data executed by the human sensor terminal 3.
On the other hand, the RAM 36 temporarily holds a program loaded from the ROM 35, data necessary for program processing, data acquired from the sensor module 31, and the like, and functions as a work area for each process executed by the CPU 34.

The wireless communication interface unit 33 is a communication interface for transmitting the data acquired from the sensor module 31 and processed to the total transfer point 5. The type of the communication interface standard is not limited, but is, for example, wireless LAN, ZigBee, Bluetooth, weak wireless in 315 MHz band, or the like.
Further, the power switch 32 is a switch for turning on / off the power supply to the human sensor terminal 3.

Next, the hardware configuration of the total transfer point 5 will be described with reference to FIG.
As illustrated in FIG. 3, the total transfer point 5 has a configuration in which a CPU 51, a ROM 52, a RAM 53, a storage unit 54, a clock 55, a wireless communication interface unit 56, and the like are connected via a bus 57. For example, it is configured using a Linux boat, a Linux PC, or the like.

  The CPU 51 calls a program stored in the ROM 52 or the storage unit 54 to the work memory area on the RAM 53 and executes it, drives and controls each device connected via the bus 57, and each means of the total transfer point 5 described later. (See FIG. 11).

The ROM 52 holds programs and data executed by the total transfer point 5.
On the other hand, the RAM 53 temporarily stores a program loaded from the ROM 52, data necessary for processing the program, data obtained from the human sensor terminal 3, and the like, and functions as a work area for each process executed by the CPU 51. .
The storage unit 54 stores a program executed by the CPU 51, data necessary for executing the program, OS (operating system), and the like. The storage unit 54 is called by the RAM 53 as needed and processed by the CPU 51.

The wireless communication interface unit 56 includes a communication interface that enables wireless communication with the human sensor terminal 3 and a communication interface that enables communication with the information management server 11 via the HTTP communication network 31. .
A communication interface that enables communication with the human sensor terminal 3 may be the same as the standard of the human sensor terminal 3. The radio waves transmitted from the human sensor terminal 3 are constantly monitored to receive information.
On the other hand, the communication interface that enables communication with the information processing server 11 may be either wireless or wired as long as it can be connected to the HTTP communication network 31 such as the Internet.

Next, the hardware configuration of the information management server 11 will be described with reference to FIG.
As shown in FIG. 4, the information management server 11 is configured using a general computer. The information analysis server 13 and the recording server 15 may be individually equipped with a computer system as shown in FIG. 4 or may share one computer system.

  The information management server 11 has a configuration in which a CPU 111, a ROM 112, a RAM 113, a storage unit 114, an input unit 115, a display unit 116, a communication interface unit 117, and the like are connected via a bus 118.

  The CPU 111 calls a program stored in a storage medium such as the storage unit 114 and the ROM 112 to a work memory area on the RAM 113 and executes the program, drives and controls each device connected via the bus 118, and the information management server 11. The various processes performed by (see FIG. 15) are executed.

  The storage unit 114 is a hard disk device (HDD), and stores a program executed by the CPU 111, data necessary for executing the program, an OS, and the like. As for the program, a control program such as an OS and an application program corresponding to filtering processing and analysis processing described later are stored.

The input unit 115 is, for example, a keyboard, a pointing device such as a mouse, or an input device such as a numeric keypad. The operation and operation of the information management server 11, data input, and the like can be performed via the input unit 115.
The display unit 116 includes a display device such as a CRT monitor and a liquid crystal panel, and a logic circuit (such as a video adapter) for realizing a video function of the computer in cooperation with the display device.

  The communication interface unit 117 includes a communication control device, a communication port, and the like, and is a communication interface that mediates communication between the computer and the HTTP communication network 31. Through the communication network 31, other terminals (total transfer points 5, Communication control between the venue terminals 7) is performed.

The venue terminal 7 installed in the facility 21 is also configured using a general computer.
That is, as shown in FIG. 4, the hardware configuration of the venue terminal 7 includes a CPU 71, a ROM 72, a RAM 73, a storage unit 74, an input unit 75, a display unit 76, a communication interface unit 77, and the like connected via a bus 78. It is a configuration.

  The CPU 71 calls a program stored in a storage medium such as the storage unit 74 and the ROM 72 to the work memory area on the RAM 73 and executes it, and drives and controls each device connected via the bus 78. Various processes to be performed, for example, a process of communicating with the information management server 11 via the HTTP communication network 31 to obtain the passage staying information processed by the information management server 11 and displaying it on the display unit 76 are executed.

  The ROM 72, RAM 73, storage unit 74, input unit 75, display unit 76, communication interface 77, and bus 78 are the ROM 112, RAM 113, storage unit 114, input unit 115, display unit 116, communication interface of the information management server 11. 117 and the parts of the bus 118, description thereof is omitted.

Next, the function of the human sensor terminal 3 will be described with reference to FIG.
FIG. 5 is a functional block diagram of the human sensing center terminal 3.
As shown in FIG. 5, the human sensor terminal 3 includes a sensor data acquisition unit 301, a sensor data storage unit 302, a human detection unit 303, a human detection data storage unit 304, and a data transmission unit 305.
Each of these means is stored in the ROM 35 as a program, and is called by the RAM 36 and executed by the CPU 34 as necessary.

  The sensor data acquisition unit 301 acquires output data of the sensor module 31 at a predetermined detection interval. Since the human sensor terminal 3 has a simple configuration without a clock function, the detection interval is obtained using the internal clock of the CPU 34. A sensor data read signal is generated at intervals of, for example, 10 ms by the internal clock of the CPU 34, and the sensor data of the sensor module 31 is read at the timing of the signal. The sensor data is binary data of “1” indicating that a person is sensed and “0” indicating that a person is not sensed.

The sensor data storage unit 302 stores the binary data acquired from the sensor module 31 at predetermined detection intervals in the RAM 36.
At this time, the number of data is counted by a sensor data counter that counts the number of sensor data, and the human detection means 303 is activated when a predetermined number (for example, 100) of data is collected. If the detection interval is 10 ms and the predetermined number of data is 100, the human detection means 303 is activated when sensor data for one second is collected.

The human detection unit 303 determines the presence or absence of a person for a detection interval which is a collection period of a predetermined number of data × a period of a predetermined number of data (for example, 1 second). This method will be described later.
The human detection data is binary data “1” when a person is present (present) and “0” when a person is absent (absent).

The human detection data storage unit 304 stores the human detection data obtained by the human detection unit 303 in the RAM 36. The human detection data stored in the RAM 36 is time-series data every time interval (for example, 1 second) of detection interval × predetermined number of data.
At this time, the number of data is counted by a human detection data counter that counts the number of human detection data, and the data transmission means 305 is activated when a predetermined number (for example, 60) of data is stored. If the human detection data is time-series data every 1 second, the data transmission unit 305 is activated when the human detection data for one minute is collected. This serves to reduce the number of communication between the human sensor terminal 3 and the total transfer point 5.

  The data transmission unit 305 transmits a predetermined number of person detection data to the total transfer point 5. At this time, the sensor ID for identifying the human sensor 3 and the packet ID indicating the packet number of the human detection data are transmitted together with the human detection data. Details will be described later.

Next, details of each means (301 to 305) of the human sensor terminal 3 will be described with reference to FIGS.
FIG. 6 is a flowchart showing the processing flow of the sensor data acquisition means 301, sensor data storage means 302, and human detection means 303. FIG. 7 is a flowchart showing the processing flow of the human detection means 303 and data transmission means 305. FIG. 8 is a flowchart showing the flow of the data transmitting means 305 and a data structure explanatory diagram. FIG. 9 is an explanatory diagram showing the contents of the RAM 36 of the human sensor terminal 3.

  When the power switch 32 is turned on, the human sensor terminal 3 continues to operate until it is turned off. That is, sensor data is acquired from the sensor module 31, processed, and continuously transmitted to the total transfer point 5.

  As shown in FIG. 6, when the power switch 32 is turned on, first, the sensor data counter 363, the human detection data counter 365, and the packet ID counter 362 provided in the RAM 36 are initialized (step 11).

Next, the data acquisition interval timer t1 using the internal clock of the CPU 34 is reset and started (step 12).
Next, the sensor data acquisition means 301 acquires sensor data D (m) that is an output of the sensor module 31, and the sensor data storage means 302 stores it in the RAM 36 (step 13).

When sensor data is obtained and stored, the sensor data counter m (363) is incremented by 1 (step 14). Then, it is determined whether or not the value of the sensor data counter m exceeds a predetermined value M (for example, M = 100) (step 15), and if it exceeds (Yes in step 15), the human detection means 303 is activated. (Step 17). The person detecting means 303 will be described later.
The maximum sensor data number M364, which is the maximum value of the sensor data counter m, is appropriately determined in advance and stored in the RAM 36.

When the value of the sensor data counter m is equal to or smaller than a predetermined value M (for example, M = 100) (No in Step 15), the human detection means 303 is not activated and the value of the data acquisition interval timer t1 is equal to the predetermined data. The process waits until the acquisition interval T1 (for example, T1 = 10 ms) is reached (step 16). When the data acquisition interval T1 is reached (Yes in step 16), the process returns to step 12 to acquire the sensor data D (m).
Here, the data acquisition interval T1 (369) is determined in advance and stored in the RAM 36.

Through the above processing, binary data “0” and “1”, which are outputs of the sensor module 31, are acquired at each data acquisition interval T 1 (eg, T 1 = 10 ms) and stored in the RAM 36.
The sensor data acquisition unit 301 and the sensor data storage unit 302 are continuously executed at each data acquisition interval T1 unless the power switch 32 is turned off.
If the data acquisition interval T1 is 10 ms and the maximum number of sensor data M is 100, the human detection means 303 for 100 binary sensor data D (1) to D (100) is activated every second. Will be.

Next, the process of the person detection unit 303 will be described with reference to FIG.
FIG. 7 is a flowchart showing the flow of processing of the human detection unit 303.
First, M pieces of sensor data D (m) and m = 1 to M are summed to obtain a sum value AD (step 21). That is, M data “0” or “1” are added to obtain a total value AD.
Next, the value of the total value AD is compared with a threshold value AD _TH 371 that is predetermined and stored in the RAM 36 (step 22). If the total value AD for M is large, it indicates that there is a lot of sensor data sensed when there is a person.

If the value of AD is greater than the threshold value AD _TH 371 (Yes in step 22), it is determined that a person has been detected, and the value of the person detection data PD (n) is set to “1” (step 23). Is equal to or less than the threshold value AD _TH 371 (No in step 22), it is determined that a person cannot be detected, and the value of the person detection data PD (n) is set to “0” (step 24).
Next, the human detection data PD (n) obtained in step 23 and step 24 is stored in the RAM 36 (step 25).

Next, n, which is the number of human detection data PD stored in the RAM 36, is determined in advance and compared with the maximum human detection data number N (for example, N = 60) 366 stored in the RAM 36 (step 26). If the number of detection data PD is N or more (Yes in step 26), the data transmission means 305 is activated (step 27).
That is, N human detection data PD are collectively transmitted from the human sensor terminal 3 to the total transfer point 5.
When the data transmission unit 305 is activated, the human detection data counter n365 is initialized to 1 (step 28), and the process of the human detection unit 303 is terminated.
On the other hand, when the number n of person detection data PD is less than N (No in Step 26), the value of n is incremented by 1 (Step 29), and the person detection means 303 is terminated.

Next, the processing of the data transmission unit 305 will be described with reference to FIG.
FIG. 8A is a flowchart showing a processing flow of the data transmission unit 305.
First, N person detection data PD (n), n = 1 to N are read from the RAM 36 (step 31).
For example, if the data acquisition interval T1 = 10 ms, the maximum number of sensor data M = 100, and the maximum number of human detection data N = 60, the human detection sensor terminal 3 uses one person detection data PD (n) for one minute. Will be sent from.

Next, a device ID for enabling identification of the human sensor terminal 3 and p which is a packet ID indicating a packet number of the human detection data PD (n) are assigned to human detection data, n = 1 to N, and transmission data. SD is set (step 32).
FIG. 8B is a diagram illustrating a configuration example of the transmission data SD374.
A device ID 361 and a packet ID 362 are added to the human detection data PD (n), (n = 1 to N) 373.

The packet ID indicates what number data the human detection data PD (n) transmitted from the human sensor terminal 3 having the specific device ID is. As will be described later, the device ID and the packet ID are used to detect duplicate received packets and lost packets.
The device ID 361 is stored in the RAM 36 of the human sensor terminal 3. The generated transmission data SD374 is also stored in the RAM 36.

Next, a process of transmitting the generated transmission data SD to the total transfer point 5 is performed. Data transmission is broadcast transmission and is transmitted a plurality of times (J times).
By performing broadcast transmission, transmission data SD of one human sensor terminal 3 is transmitted to a plurality of total transfer points 5 (5a, 5b,... 5n). This takes into account the case where there is a total transfer point 5 in which data reception cannot be performed due to a deterioration in radio wave arrival status due to temporary interference with a wireless LAN or a device failure, and at least one total transfer point 5 This is to transmit the transmission data SD.
The reason why the same transmission data SD is transmitted a plurality of times (J times) is to cope with a change in the arrival status of radio waves.

  First, in order to transmit a plurality of times, a transmission number counter j is initialized to 0 (step 33). Next, the transmission number counter j is incremented by 1 and transmission processing is started (step 34). The transmission interval timer t2 for measuring the transmission interval when transmitting a plurality of times is reset and started (step 35). Thereafter, the transmission data SD is broadcasted via the wireless communication interface unit 33 (step 36). Thus, one broadcast transmission is executed.

It is determined whether or not the transmission number counter j is equal to or greater than a predetermined maximum number of transmissions J (step 37). If the maximum number of transmissions J has not been reached (No in step 37), transmission is performed at step 38 to perform transmission again. The interval timer t2 waits for a predetermined transmission interval T2 (for example, T2 = 5 ms) to elapse (No in step 38). When the transmission interval T2 elapses (Yes in step 38), the process returns to step 34 to perform retransmission.
When the maximum number of transmissions J has been completed (Yes in step 37), the value p of the packet number is incremented by 1 (step 39), and the data transmission unit 305 is terminated.

  The maximum number of transmissions J is set in advance to J = 10 times, for example, and the value is stored in the RAM 36. Also, the transmission interval T2 is determined in advance such as T2 = 5 ms and stored in the RAM 36.

FIG. 9 shows various data types stored in the RAM 36 of the human sensor terminal 3.
In the RAM 36, for example, a device ID 361 for identifying individual human sensor terminals 3, a packet ID counter p 362 for counting packet IDs of transmission data SD, and sensor data D (m) from the sensor module 31 are acquired. Counter m363 for counting the number of sensor data at the time, maximum sensor data number M364 for starting the human detection means 303, counter n365 for counting the number of human detection data, and maximum human detection data for starting the data transmission means 305 Number N366, transmission count counter j367, maximum transmission count J368, data acquisition interval T1 (369) of sensor data D (m), data transmission interval T2 (370), human detection threshold AD _TH 371, sensor data D (m) 372 , Human detection data PD (n) 373, transmission data SD374, etc. .

FIG. 10 is a diagram for explaining that broadcast transmission is performed a plurality of times from the human sensor terminal 3 to a plurality of total transfer points 5.
The transmission data SD is transmitted J times (for example, J = 10 times) to the surrounding total transfer point 5. This is because the transmission data SD is received by a plurality of total transfer points 5 to avoid the risk that no transmission data SD is received at any total transfer point 5.

Next, the function of the total transfer point 5 will be described with reference to FIG.
FIG. 11 is a functional block diagram of the total transfer point 5.
The receiving means 502 for receiving the transmission data SD transmitted from the human sensor terminal 3, the reception time giving means 502 for giving the reception time of each transmission data SD, and the reception data 503 are temporarily stored in the RAM 53 of the total transfer point 5. Received data temporary storage means 503 for storing, duplicated received data judgment means 504 for judging duplicated received data by multiple transmissions, and generating transfer data to be transmitted to the information management server 11 from valid data and received data The data registration unit 505 stores the data in the RAM 53 or the storage unit 54, and the data transmission unit 506 transmits the transfer data to the information management server 11.

  As shown in FIG. 12, the total transfer point ID 531 for identifying each total transfer point 5 is received in the RAM 53 of the total transfer point 5, and the received data SD 532 received from the human sensor terminal 3 and received by the total transfer point 5. The reception time data SDT (i) of the reception data SD (i) 532 obtained by the clock 55, the address 534 of the information management server 11 to be accessed by the total transfer point 5, and the like are stored.

Next, details of each means of the total transfer point 5 will be described with reference to FIG.
FIG. 13A is a flowchart showing a processing flow of the total transfer point 5.
The total transfer point 5 continuously receives radio waves transmitted from the plurality of human sensor terminals 3 by the receiving unit 501, and the received reception data SD is the reception time obtained by the reception time giving unit 502. It is stored in the RAM 53 together with the SDT (reception data temporary storage means 503).

The following processing is executed for each received data SD (i) stored in the RAM 53.
First, the received data SD (i) is read from the RAM 53 (step 41), and it is determined whether the same received data as the received data SD (i) has been received before (step 42). That is, it is determined whether or not the reception data SD that matches both the device ID and the packet ID, which are constituent elements of the reception data SD (i), is already registered in the storage unit 54. If there is no matching received data (No in step 42), it is regarded as new received data SD, and the received data SD (i) and the received time SDT () of this received data SD (i) are stored in the storage unit 54. i) (stored in the RAM 53) is registered as valid received data in the storage unit 54 (step 43).
On the other hand, when reception data that matches both the device ID and the packet ID already exists in the storage unit 54 (Yes in step 42), the reception data SD is invalid.

Thereafter, regardless of whether the received data SD is valid / invalid, the received data SD (i) and the received time data SDT (i) whose duplicate data has been determined in the RAM 53 are erased (step 44).
As a result of the above processing, only non-overlapping received data SD (i) received by the summary transfer point 5 is stored in the storage unit 54 together with the reception time SDT (i).

Next, the total transfer point ID 531 is added to the reception data SD (i) and the reception time data SDT (i) registered in the storage unit 54, and the transmission data BD from the total transfer point 5 is generated (step 45).
Then, the generated transmission data BD is transmitted to the server address 534 of the information management server 11 stored in the RAM 53 via the network 31 (step 46).

FIG. 13B is a diagram showing a configuration of transmission data BD550 transmitted by the summary transfer point 5.
In addition to the received data SD (i) 532 transmitted from the human sensor terminal 3 and received by the total transfer point 5, a reception time SDT (i) 533 and a total transfer point ID 531 are added.
The received data SD (i) 532 is a human detection consisting of a device ID for identifying the human sensor terminal 3, a packet ID indicating what number of human detection data the packet is, and time-series data indicating the presence or absence of a person. It consists of data PD (n).
The total transfer point ID 531 is for identifying from which total transfer point 5 the information management server 11 has received the transmission data BD550, and is not directly used for analyzing the passage staying information. It is not essential data. It is used to check the stability of the wireless environment and the operation of the summary transfer point 5.

FIG. 14 is a conceptual diagram of communication between the plurality of total transfer points 5 (5a, 5b...) And the information management server 11.
The human sensor terminal 3 performs broadcast transmission to the total transfer point 5, and a plurality of total transfer points 5 can transmit the same transmission data BD 550 sent from the same human sensor terminal 3 to the information management server 11. There is sex.

Next, the function of the information management server 11 is demonstrated along FIG.
FIG. 15 is a functional block diagram of the information management server 11 including the information analysis server 13 and the recording server 15.
The information analysis server 13 includes a receiving unit 1301 for receiving the transmission data BD transmitted from the total transfer point 5, a reception time giving unit 1302 for giving the reception time of the transmission data BD, and temporarily storing the received data in the RAM 113 or the memory. Received data temporary storage means 1303 stored in the unit 114, duplicate data determination means 1304 for obtaining valid data by filtering the same received data transmitted from a plurality of total transfer points 5, and based on valid data The data analysis means 1305 for acquiring the number of people passing through, the residence time, the cumulative number of people, and the like.

  On the other hand, the recording server 15 includes analysis data recording means 15 for recording analysis data such as the number of people passing by, the staying time, and the cumulative number of persons obtained by the data analysis means 1305 of the information analysis server 13 in the storage unit 114; Is transmitted to the venue terminal 7 installed in the facility 21 via the network 31.

FIG. 16 is an example of data stored in the RAM 113 of the information management server 11.
The reception data BD1131 transmitted from the total transfer point 5 and received by the information management server 11; the reception time data BDT (k) 1132 when the reception management server 11 received the reception data BD (k) 1131; The position information 1133 of the human sensor terminal 3 is stored in the RAM 113.
The reception time data BDT (k) is used for confirming the communication environment by the HTTP communication network 31, and is not essential for analyzing the passage staying information.
Further, the position information 1133 of the human sensor terminal 3 will be described later. By registering the position of the human sensor terminal 3 in the facility 21, it is possible to relate the person passing residence analysis data and the position information. It becomes possible to analyze.

Next, details of each means of the information analysis server 13 will be described with reference to FIG.
FIG. 17 is a flowchart showing a processing flow of the information analysis server 11.
The information analysis server 13 continuously receives the data BD (k) transmitted from the plurality of total transfer points 4 by the receiving means 1301, and the received data BD (k) received is the reception time giving means 1302. Is stored in the RAM 113 together with the reception time BDT (k) (reception data temporary storage means 1303).

The following processing is executed for each received data BD (k) stored in the RAM 113.
First, the received data BD (k) is read from the RAM 113 (step 51), and it is determined whether or not the same received data as the received data BD (k) has been previously received from another total transfer point 5 (step 52). . That is, it is determined whether or not the reception data BD that matches both the device ID and the packet ID, which are constituent elements of the reception data BD (k), is already registered in the storage unit 114. If there is no matching received data (No in step 52), the received data is regarded as new received data BD, and the received data BD (k) is stored in the storage unit 114, and the received time BDT ( k) (stored in the RAM 113) is registered as valid received data in the storage unit 114 (step 53).
On the other hand, if reception data that matches both the device ID and the packet ID already exists in the storage unit 114 (Yes in step 52), the reception data BD is regarded as invalid reception data.

Thereafter, regardless of whether the received data BD is valid / invalid, the received data BD (k) for which duplicate data has been determined in the RAM 113 and the received time data BDT (k) are erased (step 54).
Through the above processing, only the non-overlapping received data BD (k) received by the information analysis server 13 is stored in the storage unit 114 together with the reception time BDT (k).

Next, the received data BD (k) registered in the storage unit 114 is analyzed (step 55). The analysis of the reception data BD (k) will be described later.
Then, the analysis result is sent to the recording server 15 (step 56), and the process is terminated. The recording server 15 stores the analysis result in the storage unit 114.

FIG. 18 is an explanatory diagram of the analysis (step 55) of the reception data BD (k) by the information analysis server 13.
The storage unit 114 of the information management server 11 stores valid received data BD (k) 1131 without duplication.

As shown in FIG. 18, the reception data BD (k) 1131 is generated by the human sensor terminal 3 and transmitted to the total transfer point 5, and the reception that the total transfer point 5 receives the transmission data SD 374. It consists of a time SDT 533 and a total transfer point ID 531 of the total transfer point 5 received.
The transmission data SD374 includes a device ID (for example, 3a) for identifying the human sensor terminal 3 that has transmitted the transmission data SD374, and a packet ID (for example, the order of the human detection data PD and the human detection data PD). 1).

The human detection data PD (n) is composed of N data (for example, N = 60 data).
As described above, PD (n) is, for example, binary data (existing “1”) indicating the presence / absence of a person every second (when the data acquisition interval T1 = 10 ms and the maximum number of sensor data M = 100). If “N” is “0”) and N = 60, PD (n), n = 1, 2,..., N is human detection data for one minute.

The data analysis unit 1305 of the information analysis server 13 extracts the data “1” of the personality from the N person detection data.
In the example of FIG. 18, the third and fourth data (n = 3 and 4) of the human detection data PD (n) and the 57th, 58th, and 59th data (n = 57, 58, 59) are Personnel “1”.
Here, assuming that the reception time SDT 533 at the total transfer point 5 is 12:00:00 and the Nth (n = 60) time is the reception time SDT 533, n = 3 to 4 Is from 11:59:03 to 11:59:04. The time of n = 57 to 59 is 11:59:57 to 11:59:59.
That is, in this example, it is analyzed that a person was in the vicinity of the human sensor terminal 3 (3a) at 11:59:03 to 04 and 11:59:57 to 59 seconds.

  The “start time” and “end time” of the person in the vicinity of the human sensing terminal 3 and the “device ID” of the human sensor terminal 3 analyzed as described above are stored in the storage unit 114. .

By analyzing in this way and processing the collected analysis data, it is possible to determine the number of people passing by and the residence time.
That is, by accumulating the number of analysis data of a specific device ID within a certain time, it is possible to obtain the number of people who have passed through the vicinity of the person sensing terminal 3 of that device ID within that time.
Further, the time spent in the vicinity of the human sensing terminal 3 can be obtained from the difference between the “start time” and the “end time”.

  Examples of processing the analysis data are shown in FIGS. The analysis data can be processed and stored in the storage server 15 and displayed on the display unit 116 of the information management server 11, or by sending it to the venue terminal 7 in the facility 21 via the communication network 31. It can also be displayed on the display unit 76 of the hall terminal 7.

19 and 20 are display examples of analysis processing results.
FIG. 19A is a line graph showing the transition of the number of people passing by every hour near the two human sensor terminals 3 (3a and 3b).
The number of passing people is obtained by searching the analysis data stored in the storage unit 114 and counting the number of data of each device ID (3a and 3b) within each time (for example, 9 o'clock to 10 o'clock).

FIG. 19B is a display example of a change in the cumulative number of visitors at each venue of the event. A human sensor terminal 3 is installed at the entrance of each venue.
The cumulative number of persons is obtained by counting the number of data for each device ID of the analysis data stored in the storage unit 114.

FIG. 20 is an example in which the number of visitors at each venue of the event is displayed together with position information.
A human sensor terminal 3a is installed at the entrance of the venue A, and a human sensor 3b is installed at the entrance of the venue B. The number of visitors to the venue A is “2”, which is 29 or more and 57 or less, and the number of visitors to the venue B is “5”, indicating that it is 114 or more.
By registering the position information of each person detection sensor terminal 3 in the RAM 113 (person detection sensor position information 1133 in FIG. 16), the position information in the facility 21 can be added and displayed in this way. It is.

As described above, even if the human detection sensor terminal 3 is a simple one that does not have a clock function, by analyzing the data of the reception time at the total transfer point 5 by the information analysis server 13, individual human detection sensors can be obtained. It is possible to analyze the number of people passing by and the residence time in the vicinity of the terminal 3 in association with the time.
Various methods of processing the analysis data in the storage unit 114 are possible, and the display method is not limited to the display examples of FIGS.

Next, a method for reducing packet loss between the human sensor terminal 3 and the total transfer point 5 will be described.
Since communication between the human sensor terminal 3 and the total transfer point 5 is assumed to be wireless communication, there may be a case where communication cannot be performed temporarily due to the influence of other wireless devices.
In the transit residence time management system 1 described above, transmission of the transmission data SD from the human sensor terminal 3 is performed a plurality of times (for example, 10 times) at a transmission interval T1 (for example, T1 = 5 ms), thereby reducing packet loss. However, a method of making the transmission interval T1 variable is conceivable.

FIG. 21 is an explanatory diagram of a method for reducing packet loss.
When transmitting the transmission data SD from the human sensor terminal 3 a plurality of times (J times), the transmission interval is variable, for example, 1 second, 2 seconds, 4 seconds, 8 seconds, 16 seconds after the first transmission. After ... and transmit while gradually increasing the transmission time interval.
By setting the interval in this way, it is possible to reduce the influence of the wireless communication of the other human sensor terminal 3.

In this case, the human sensor terminal 3 transmits the transmission data SD with this “transmission time interval” added. The total transfer point 5 needs to perform additional processing in the reception time giving means 502.
That is, the reception time giving means 502 gives the time obtained by subtracting this transmission time interval from the actual reception time as the reception time of the received data.
For example, when the receiving unit 501 receives transmission data SD to which a transmission time interval of 4 seconds is added at 12: 0: 4, the reception time of the transmission data SD is set to 12:00:00 after subtracting the transmission time interval. Correct to 0 seconds.
With the above method, it is possible to reduce packet loss in wireless transmission between the human sensor terminal 3 and the total transfer point 5.

Next, a method for improving the time accuracy of the human sensor terminal 3 will be described.
In the passing residence time management system 1 described above, the human sensor terminal 3 reads the data of the sensor module 31 using the internal clock of the CPU 34. This is an advantageous method in that a simple sensor terminal can be configured without adding a clock function.
However, the accuracy of the internal clock of the CPU 34 may vary depending on the type of the CPU 34 and driving conditions (temperature and humidity, battery consumption level). When the accuracy of the internal clock decreases, the accuracy of time calculation in the passage residence time management system 1 also decreases, and time correction is necessary.

FIG. 22 is an explanatory diagram of a time correction method at the total transfer point 5.
The total transfer point 5 receives the reception data SD (i) from the human sensor terminal 3. The received data SD (i) is composed of the device ID of the human sensor terminal 3, the packet ID of the human detection data PD, and the human detection data PD, and the total transfer point 5 receives the received data SD (i). The time 533 is added.

The reception time assigning means 502 of the total transfer point 5 compares the reception times SDT for consecutive packet IDs with the same device ID, and the value obtained by dividing the time difference by the maximum number N of human detection data is the time of each individual human detection data. Interval.
In FIG. 22, it is assumed that N human detection data per second (one minute if N = 60) is sent to the total transfer point 5 from the human sensor terminal 3a.
For example, the reception times SDT (i) of two consecutive reception data SD (i) (packet IDs 1 and 2) sent from the human sensor terminal 3a are 12:00:00 and 12:17:00, respectively. In the case of the second, the time difference is 1 minute and 7 seconds, and the time interval obtained by dividing this by N becomes the time interval of the human detection data.
When N = 60, it is reasonable to think that the time interval of one person detection data is actually 1.2 seconds, which is longer than 1 second.

  By using the corrected time interval obtained as described above, it is possible to improve the accuracy of time calculation of the passing residence time management system 1.

Furthermore, as a method for improving the time accuracy, a method of correcting the information management server 11 with an ideal reception time to be received at the total transfer point 5 is also conceivable.
When the information management server 11 receives the first human detection data packet transmitted from each human sensor terminal 3 via the total transfer point 5, the ideal reception time is estimated from the packet ID and the transmission interval. Is possible.
For example, when the reception time at the total transfer point 5 of the human detection data packet SD (i) for the first minute is 12:00:00, the ideal reception time of the next packet SD (i + 1) is 12:00 01 min 0 sec.
The difference between the ideal reception time and the reception time at the total transfer point 5 is caused by a shift in the internal clock of the CPU 34 of the human sensor terminal 3.
For example, when this difference is very large, the human sensor terminal 3 can be used for inspection, and there is an advantage that the operation management of the passage residence time management system 1 is facilitated.

  The present invention is not limited to the embodiment described above, and various modifications are possible, and these are also included in the technical scope of the present invention.

The block diagram which shows the structure of the passage residence time management system 1 which concerns on this Embodiment. Hardware configuration diagram of human sensor terminal 3 Hardware configuration of total transfer point 5 Hardware configuration diagram of information management server 11 and venue terminal 7 Functional block diagram of human sensor terminal 3 The flowchart which shows the flow of a process of the human detection sensor terminal 3 The flowchart which shows the flow of a process of the human detection sensor terminal 3 A flowchart (a) showing the flow of processing of the human sensor terminal 3 and an explanatory diagram of transmission data SD (b) Explanatory drawing of RAM36 of the human detection sensor terminal 3 Explanatory diagram of communication between human sensor terminal 3 and total transfer point 5 Functional block diagram of total transfer point 5 Explanatory drawing of the RAM 53 of the total transfer point 5 A flowchart (a) showing the flow of processing of the total transfer point 5 and an explanatory diagram (b) of the transmission data BD Explanatory drawing of communication between total transfer point 5 and information management server 11 Functional block diagram of the information management server 11 Explanatory drawing of RAM113 of the information management server 11 The flowchart which shows the flow of a process of the information analysis server 13 Explanatory drawing of data analysis means 1305 Display example of data analysis processing result Display example of data analysis processing result Illustration of packet loss mitigation method Illustration of time accuracy improvement method

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ..... Passing residence information management system 3 ..... Human detection sensor 5 ....... Total transfer point 7 ...... Venue terminal 11 ...... Information management server 13 ...... Information analysis server 15 ...... Recording server 21 ……… 31 facilities ………… HTTP communication network

Claims (7)

A human sensor terminal that detects the presence of a person in the vicinity and transmits time-series data indicating the presence or absence of the person;
A plurality of sensor total transfer access point terminals that are installed in a facility where the human sensor terminal is installed, collect the time series data transmitted from the human sensor terminal, and generate transfer data;
The time when a person passes based on the transfer data transmitted from the plurality of sensor total transfer access point terminals is connected to the plurality of sensor total transfer access point terminals, and the number of people passing through and the residence time are calculated. An information management server for
A passing over residence information management systems that have a,
The person detecting sensor terminal,
A sensor for sensing the people,
Sensor data acquisition means for acquiring sensor data of the sensor at a predetermined time interval of the internal clock of the CPU with a value indicating that a person is detected or a value indicating that a person is not detected ;
The total value of a predetermined number of sensor data acquired by the sensor data acquisition means is compared with a predetermined value, and when the total value exceeds the predetermined value, the predetermined time interval × the predetermined number A person detecting means for determining that “there is a person” within a predetermined time and determining that “there is no person” when the total value is equal to or less than the predetermined value;
Sensor consisting of the time-series data indicating presence or absence of a second predetermined number of people is determined by the person detecting unit, and the sensor ID specified for each of the human detection sensor terminal, the packet ID of the time-series data Sensor terminal data transmitting means for broadcasting terminal data multiple times ;
Equipped with a,
The sensor summary transfer access point terminal is
First receiving means for receiving the sensor terminal data transmitted from the human sensor terminal and associating a reception time with the sensor terminal data;
When two or more sensor terminal data in which both the sensor ID and the packet ID included in the sensor terminal data received by the first receiving means match are detected, only one of them is valid. Effective sensor data determination means to acquire as correct sensor terminal data;
Transfer data transmitting means for transmitting the valid sensor terminal data obtained by the valid sensor data determination means and the transfer data consisting of the corresponding reception time to the information management server via the network;
With
Passage retention information management system characterized by this. The information management server,
Second receiving means for receiving the transfer data transmitted from the previous SL plurality of sensors aggregate transfer access point terminal,
When two or more transfer data in which both the sensor ID and the packet ID included in the transfer data received by the second receiving means match are detected, only one of them is effectively transferred. Valid transfer data determination means to obtain as data;
A human detection time calculating means for calculating a time when a person is in the vicinity of the human sensor terminal based on the time series data in the effective transfer data obtained by the valid transfer data determining means and the reception time; ,
Analyzing means for obtaining at least one of the number of passing people within a predetermined time, the residence time, and the cumulative number of passing people from the time at which the person is calculated by the person detection time calculating means ,
With
The person detection time calculating means includes
Time series indicating the presence or absence of the second predetermined number of persons in the valid transfer data for the time when there is a person around the human sensor terminal corresponding to the sensor ID in the valid transfer data In the data, if there is a person in a portion indicating that “there is a person” in succession, if the beginning of the part is i-th and the last is j-th, the start time and end time at which the person is in
Start time = the reception time− (the second predetermined number−i) × (the predetermined time interval × the time determined by the predetermined number)
End time = the reception time− (the second predetermined number−j) × (the predetermined time interval × the time determined by the predetermined number)
As
The analysis means includes
For each of the human sensor terminals corresponding to the sensor ID,
The number of passing people within the predetermined time is determined by accumulating, as 1, the person that the person detection time calculation means is within the predetermined time,
The residence time is determined as the difference between the start time and the end time for the person that the person detection time calculation means has,
The cumulative passing number is obtained as a cumulative value of the passing number every predetermined time.
The passing residence information management system according to claim 1. The sensor according to claim 1 or claim 2 pass retention information management system according to characterized in that the heat-sensitive sensor that senses a human body temperature. It is installed in a facility where the human sensor terminal is installed, and further includes a terminal connected to the information management server via the network,
Pass retention information management system according to any one of claims 1 to 3, characterized in that displaying the passing people and residence time within the predetermined time obtained by said analyzing means. The sensor terminal data transmitting means transmits the time-series data, the sensor ID, and the packet ID in addition to the sensor terminal data, in addition to the sensor terminal data, a retransmission delay time when broadcast transmission is performed a plurality of times. pass retention information management system according to any one of claims 1 to 4 to. The human detection time calculating means obtains a time interval of the time series data from a difference between the reception times of two time series data having the same sensor ID and having consecutive packet IDs, and the human sensor terminal pass retention information management system according to any one of claims 1 to 5, characterized in that to improve the calculation accuracy of the time there are people nearby. Program for causing a computer to function as a pass retention information management system of claims 1 6.

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