JP2011018956A - Sensing data management device, sensing data management program, and sensing data management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a sensing data management device, a sensing data management program, and a sensing data management system which are capable of automatically making a sensing object correspond to sensing data.SOLUTION: The sensing data management device 3 for managing sensing data measured by a sensor 1 includes a correspondence means which, in response to reception of first information including an object ID of a first object discrimination device 2, an ID of a sensor in a communication destination, and time information, determines whether second information including an ID and time information identical to those included in the first information and an object ID of a second object discrimination device 2 has been received or not and selects one object discrimination device 2 of which the signal reception level observed by the sensor 1 specified by the ID meets a reception determination condition, from the first and second object discrimination devices 2 and makes the object discrimination device 2 correspond to the sensing data.

Description

  The present invention relates to a sensing data management device, a sensing data management program, and a sensing data management system, and more particularly to a sensing data management device, a sensing data management program, and a sensing data management system that handle sensing data obtained by sensing a sensing object.

  In recent years, systems that use sensors to sense (measure) the state and behavior of moving sensing objects (sensing objects) such as people, animals, and luggage have been studied. In such a system, various tasks can be performed by sensing and using the behavior and state of the moving sensing object without forcing the user or system administrator to perform complicated processing. It is possible to improve efficiency and convenience of daily life.

  2. Description of the Related Art Conventionally, a network system (sensor network) is known in which a small electronic circuit having a wireless communication function is added to a sensor and various information in the real world is taken into an information processing device in real time (see, for example, Patent Document 1). .

JP 2008-206575 A

  Conventionally, in systems that use sensing data, the association information between sensing data and sensing objects is either explicitly registered in a table or the like, or implicitly incorporated as program logic. That is, when the system is used, the sensing data and the sensing object are in a fixed relationship.

  When sensing the state and behavior of moving sensing objects such as people, animals, and luggage with sensors installed in various environments or portable sensors, the sensors and sensing objects are fixed (permanent). In many cases, they cannot be associated. Therefore, in order to record the sensing data in the system, it is necessary to dynamically associate the sensing data with the sensing object.

  However, conventionally, there has been no method for dynamically and automatically associating sensing data with sensing objects. Users and system administrators have to perform work to dynamically associate sensing data and sensing objects by some method.

  For example, as an example of a system that uses sensing data, in order to save labor in the hospital window, a patient's body temperature is measured by a thermometer (sensor) with a wireless interface, and the temperature measurement result (sensing data) is a server via wireless communication. It can be considered that the operation of writing the temperature measurement result to the medical record, which has been conventionally performed by a nurse, is unnecessary.

  However, a patient who uses a thermometer cannot be uniquely determined. In other words, since the thermometer is used over and over, it is necessary to associate the temperature measurement result with the patient in some way. Eventually, in the above system for saving labor at the hospital window, it is not possible to know which patient's body temperature is the result of temperature measurement sent by wireless communication, and writing the result of temperature measurement performed by the nurse to the medical record. Work cannot be made unnecessary.

  As another example of a system using sensing data, use in agriculture can be considered. Currently, in agriculture, due to the need for food safety, efforts are being made to record the contents of farm work as a work diary and to verify that there are no problems with the contents of farm work at a later date.

  At present, it takes a lot of time to fill in the work diary in the work diary, which is a heavy burden on the worker. In view of this, a system has been considered in which the contents of agricultural work are analyzed using sensing data from various sensors (with a wireless interface) such as a GPS (Global Positioning System) logger and an acceleration sensor, and are automatically recorded as a work diary.

  When the ownership relationship between the worker and the various sensors is unchanged, if the various sensors can be identified, the worker can be identified at the same time. However, farm workers in relatively large-scale agricultural production corporations are often temporary workers such as part-timers, and the number of contracts differs between busy times and non-busy times, and may be short-term contracts. Many. Therefore, in the above system for reducing the labor of recording the work diary in agriculture, it is more practical to share various sensors among multiple workers, rather than lending and managing various dedicated sensors to workers. Become.

  Eventually, the above-described system for reducing the labor of recording the work diary in agriculture needs to associate various sensors and workers before work by some method. Since the association between various sensors and workers is generally performed manually, it is inefficient, complicated, and reduces the convenience of the system.

  In particular, in the above-described system for saving labor at a hospital window, it is unacceptable to allow a patient to make any correspondence to measure body temperature. Further, in the above system for reducing the work of recording the work diary in agriculture, the worker is often an elderly person or a person having a sense of resistance to the operation related to the electronic device. Indicators such as pairing, button operations while looking at the screen display, and registration of system data during use are similarly unacceptable.

  An object of one embodiment of the present invention is to provide a sensing data management device, a sensing data management program, and a sensing data management system that can automatically associate a sensing object with sensing data.

  In order to solve the above problem, an embodiment of the present invention is a sensing data management device that manages sensing data measured by a sensor for a sensing object associated with an object identification device, the object of the first object identification device When the first information including the ID, the sensor ID of the communication destination sensor of the first object identification device, and the time information is received, the same as the sensor ID and the time information included in the first information Determining means for determining whether or not the second information including the sensor ID and the same time information and the object ID of the second object identification device is received, and the second information is received by the determining means When determined, the first object identification device and the second object observed by the sensor specified by the sensor ID A selection unit that selects an object identification device whose reception level of a signal from each of the object identification devices satisfies a reception determination condition; an association unit that associates the object identification device selected by the selection unit with the sensing data; Prepare.

  In addition, what applied the component, the expression, or arbitrary combinations of the component of one Embodiment of this invention to a method, an apparatus, a system, a computer program, a recording medium, a data structure, etc. is also effective as an aspect of this invention. .

  According to an embodiment of the present invention, a sensing object and sensing data can be automatically associated.

It is a block diagram of an example of the sensing data management system of a present Example. It is a block block diagram of an example of a sensing data management system. It is a block diagram of an example of sensor attribute data. It is a block diagram of an example of sensor type data. It is a block diagram of an example of object state data. It is a block diagram of an example of matching signal control data. It is a block diagram of an example of matching signal reception history data. It is a block diagram of an example of the data for matching signal reception history data analysis. It is a block diagram of an example of sensing data. It is a block block diagram of the other example of a sensing data management system. It is a hardware block diagram of an example of the computer system which implement | achieves a server. It is an image figure of an example of a sensing data management system. It is a flowchart (1/11) of an example of matching processing. It is a flowchart (2/11) of an example of a matching process. It is a flowchart (3/11) of an example of a matching process. It is a flowchart (4/11) of an example of a matching process. It is a flowchart (5/11) of an example of a matching process. It is a flowchart (6/11) of an example of a matching process. It is a flowchart (7/11) of an example of a matching process. It is a flowchart (8/11) of an example of a matching process. It is a flowchart (9/11) of an example of a matching process. It is a flowchart (10/11) of an example of matching processing. It is a flowchart (11/11) of an example of a matching process. It is a graph of an example of correlation signal reception history data.

  Next, modes for carrying out the present invention will be described based on the following embodiments with reference to the drawings.

  First, in order to facilitate understanding of the present embodiment, problems to be solved by the present embodiment will be described. As a method of dynamically associating the sensor and the sensing object when the sensor and the sensing object are not in a fixed relationship, it is conceivable to use wireless communication.

  In the method using wireless communication, if a procedure such as authentication / authorization is defined in advance, the sensor with the wireless interface and the wireless terminal attached to the sensing object can automatically exchange information within a certain distance. . The wireless terminal attached to the sensing object and the sensor with the wireless interface perform wireless communication, and each ID and sensing data are combined and passed to a server or the like that analyzes and uses the sensing data.

  Here, an example in which the sensing object is a human will be described. The sensing target person carries a wireless terminal. It is assumed that the wireless terminal stores an object ID for identifying a sensing target person (the same applies to other objects).

  In the method using wireless communication, if the communication distance of the wireless communication system to be used is long, there is a high possibility that a plurality of communication nodes will enter the communication area, and the communication partner cannot be specified. When proximity wireless communication (13.56 MHz RF tag) such as ISO15693 is used as a wireless communication system, since the effective communication distance is short and the possibility of interference is low, it is expected that reliable association is performed.

  However, in the method using proximity wireless communication, an operation for reading the sensing data by moving the wireless terminal attached to the sensing object closer to the sensor with the wireless interface (or vice versa) remains.

  In particular, the above-described system for reducing the labor of recording work diaries in agriculture requires a large amount of sensing data to be read. When logging a large amount of sensing data in the sensor device, it takes a long time to read the sensing data into the wireless terminal. Conversely, when the amount of sensing data to be logged in the sensor device is reduced, an operation for reading the sensing data into the wireless terminal is required many times.

  On the other hand, when near field communication having a longer effective communication distance than near field communication is used as the wireless communication system, a reading operation required in the near field communication is not necessary, and unnecessary labor can be saved. If a plurality of sensing subjects (hereinafter simply referred to as users) are not nearby at the same time, a sensor and a wireless terminal can be associated with each other when short-range wireless communication is used as the wireless communication system. Note that short-range wireless communication is sometimes referred to as short-range wireless communication.

  However, when a plurality of users are approaching, not only the wireless terminal attached to Mr. A receives the information from the sensor owned by Mr. A but also the wireless terminal attached to Mr. B. Therefore, the sensor and the wireless terminal cannot be simply associated with each other. Conversely, even when a plurality of sensors capable of sensing the same event exist near the user, the sensors and the wireless terminals cannot be simply associated with each other.

  Conventionally, in order to avoid the above problem, explicit association processing such as pairing in Bluetooth has been performed. However, the pairing operation is complicated such as pressing the mode switching button of the sensor, switching to the device discovery mode of the wireless terminal by menu selection, etc., and inputting a pass key. For this reason, explicit association processing such as pairing in Bluetooth is not practical when the correspondence between the sensor and the wireless terminal is not permanent, because the convenience of the service is significantly impaired.

  For this reason, in this embodiment, a sensor with a short-range wireless interface is used to automatically detect a sensing object (measurement object) that is a sensing object by the sensor and sensing data (measurement data) obtained by sensing the sensing object by the sensor. It is a problem to make it correspond.

(System configuration)
FIG. 1 is a configuration diagram of an example of a sensing data management system according to the present embodiment. The sensing data management system of this embodiment includes a sensor 1, an object identification device 2, a server 3, a short-range wireless network 4, and a wide area communication network 5.

  In the sensing data management system of FIG. 1A, a sensor 1 and an object identification device 2 are connected via a short-range wireless network 4 such as Bluetooth so that data communication is possible. The object identification device 2 and the server 3 are connected via a wide area communication network 5 such as a wireless LAN so that data communication is possible.

  The sensor 1 senses a sensing object. The sensor 1 is, for example, a temperature sensor with a short-range wireless interface, an entry / exit sensor, a zone detection sensor, a car navigation GPS, or the like.

  The object identification device 2 is a wireless terminal attached to a sensing object. The object identification device 2 is, for example, a PDA (Personal Digital Assistant) with a short-range wireless interface and a wide-area communication interface, a mobile phone, or the like.

  The server 3 is a sensing data management device that performs control / determination for automatically associating sensing objects with sensing data, and manages, analyzes, and uses the sensing data. The server 3 is, for example, a computer system with a wide area communication interface.

  On the other hand, the sensing data management system of FIG. 1 (B) has the sensing data of FIG. 1 (A) in that the server 3 is connected not to the object identification device 2 but to the sensor 1 via the wide area communication network 5 so that data communication is possible. Different from the management system. For this reason, the sensor 1 has a short-range wireless interface and a wide-area communication interface. The object identification device 2 has a short-range wireless interface.

  As shown in FIG. 1A and FIG. 1B, in the sensing data management system of the present embodiment, the wide area communication function for performing data communication with the server 3 is the sensor 1 and the object identification device 2. It may be in either.

  The block configuration of the sensing data management system in FIG. 1A is as shown in FIG. 2, for example. FIG. 2 is a block diagram of an example of a sensing data management system. The sensing data management system in FIG. 2 includes a sensor 1, an object identification device 2, and a server 3.

  The sensor 1 includes a sensor ID storage unit 11, an HMI (Human Machine Interface) unit 12, a sensing data processing unit 13, an object association processing unit 14, and a short-range wireless unit 15. The object identification device 2 includes an object ID storage unit 21, an HMI unit 22, a terminal application processing unit 23, a sensor association processing unit 24, a short-range wireless unit 25, and a wide area communication unit 26.

  The server 3 includes an association processing control unit 31, an association signal management unit 32, an object conflict analysis unit 33, a server application processing unit 34, a wide area communication unit 35, a sensor type data storage unit 36, an object state data storage unit 37, An association signal control data storage unit 38, an association signal reception history data analysis data storage unit 39, a sensor attribute data storage unit 40, an association signal reception history data storage unit 41, and a sensing data storage unit 42 are provided.

  The sensor ID storage unit 11 of the sensor 1 stores a sensor ID. The sensor ID is information that can uniquely identify the sensor device or the sensor system in the sensing data management system. The HMI unit 12 provides a means for notifying the user of sensing data as necessary.

  The sensing data processing unit 13 detects the start of sensing and notifies the object association processing unit 14 as a sensing trigger. Further, the sensing data processing unit 13 receives a command from the server 3 (via the object identification device 2) as necessary, and executes sensing.

  Note that the sensing data processing unit 13 may autonomously execute sensing regardless of a command from the server 3. The sensing data processing unit 13 holds the sensing data and notifies the server 3 of the sensing data. In addition, the sensing data processing unit 13 notifies the HMI unit 12 of sensing data as necessary.

  The object association processing unit 14 sends an object association request to the server 3 in response to the sensing trigger. In response to an instruction from the server 3, the object association processing unit 14 accumulates beacon signals from surrounding object identification devices 2 and periodically notifies the server 3. In response to an instruction from the server 3, the object association processing unit 14 sets the short-range wireless address of the object identification device 2 and the access point of the terminal application processing unit 23 using the associated object identification device 2 as a communication partner. .

  The short-range wireless unit 15 uses existing technologies such as Bluetooth and Zigbee having autonomous distributed communication and device discovery & binding functions. As the sensor ID, a sensor type specified by a wireless standard used by the short-range wireless unit 15, individual identification information, or the like may be used.

  The object ID storage unit 21 of the object identification device 2 stores an object ID. The object ID is information that can uniquely identify the sensing object in the sensing data management system. The HMI unit 22 provides a means for notifying the user of information as necessary.

  Further, the terminal application processing unit 23 executes an application utilizing sensing data in cooperation with the server 3. The terminal application processing unit 23 notifies the server 3 of sensing data sent from the sensor 1 (processes as necessary). The terminal application processing unit 23 relays the command to the sensor 1 sent from the server 3.

  The sensor association processing unit 24 relays a signal notified between the server 3 and the sensor 1 necessary for the association processing. In response to an instruction from the server 3, the sensor association processing unit 24 transmits a beacon signal used for evaluating the positional relationship between the sensor 1 and the object identification device 2 to the sensor 1. In response to an instruction from the server 3, the sensor association processing unit 24 sets a short-range wireless address of the sensor 1 and an access point of the sensing data processing unit 13 with the sensor 1 to be associated as a communication partner.

  The short-range wireless unit 25 is the same as the short-range wireless unit 15 of the sensor 1. The wide area communication unit 26 is a means for communicating with the server 3 installed remotely. The wide area communication unit 26 uses an existing technology such as a wireless LAN.

  The association processing control unit 31 of the server 3 receives the association request transmitted from the sensor 1 via the object identification device 2, and stores the sensor attribute data and sensor type data storage unit shown in FIG. The following processing is executed with reference to the sensor type data shown in FIG.

  FIG. 3 is a configuration diagram of an example of sensor attribute data. The sensor attribute data in FIG. 3 includes sensor ID, sensor type, possible value, installation location, and corresponding object ID as data items. The sensor ID, sensor type, possible value, and installation location are static attributes. The corresponding object ID is the object ID of the sensing object currently associated with the sensor 1 that needs to be associated with the sensing object.

  FIG. 4 is a configuration diagram of an example of sensor type data. The sensor type data defines how to handle object state data for each type of sensor 1 (sensor type). Sensor type data is defined for each application. The sensor type data includes sensor type, object state, state operation logic, state valid time, object correspondence condition, and priority as data items.

  With respect to the sensor type, the sensor type data defines which object state (attribute) of the sensing object targeted by the application can be operated by the state operation logic. The state valid time is the valid time of the updated object state data. The object correspondence condition is the maximum number of sensing objects that can be associated. The priority is the update priority of the object state data.

  The association processing control unit 31 determines the sensor type (type) corresponding to the sensor ID of the sensor 1 from the sensor attribute data. The association processing control unit 31 specifies a record corresponding to the sensor type of the sensor 1 from the sensor type data, and determines what object state of the sensing object can be updated by the sensor 1. Note that the association processing control unit 31 determines how the object state can be updated from the state operation logic and the object association condition.

  The association processing control unit 31 refers to the object state data shown in FIG. 5 stored in the object state data storage unit 37 and determines whether or not the object state can be updated. FIG. 5 is a configuration diagram of an example of object state data.

  The object state data in FIG. 5 defines the current object state of the sensing object targeted by the application for each application. The object state data is held as a set of the value of the current object state to be monitored for each sensing object and the priority of the sensor 1 that senses the value.

  The object state data is deleted after elapse of the state valid time corresponding to the sensor type of the sensor 1 that sensed the value. The association processing control unit 31 determines that the object state can be updated if the combination of the value of the object state and the priority of the sensor 1 that senses the value is not held in the object state data.

  Further, the association processing control unit 31 tries to update the current object state held in the object state data and the priority held as a pair with the value of the current object state when a certain sensor 1 tries to update it. It is determined that the object state can be updated when the priority of the sensor 1 to be updated is higher.

  When the object state data can be updated, the association processing control unit 31 updates the object state data and also updates the corresponding object ID of the sensor attribute data shown in FIG. The association processing control unit 31 transmits an association instruction to the object identification device 2 and the sensor 1 that perform association.

  Further, the association processing control unit 31 makes a retry request to the sensor 1 when the object state data cannot be updated. Then, when the same association request is transmitted from the sensor 1 via the plurality of object identification devices 2, the association processing control unit 31 activates the association signal management unit 32.

  The association signal management unit 32 refers to the association signal control data shown in FIG. 6 stored in the association signal control data storage unit 38, and sends an association signal (beacon signal) corresponding to the sensor type to the object identification device 2. ) And the transmission cycle of the association signal reception history data shown in FIG. 7 from the sensor 1 to the server 3. The association signal management unit 32 stores the association signal reception history data shown in FIG. 7 received from each sensor 1 in the association signal reception history data storage unit 41.

  FIG. 6 is a configuration diagram of an example of association signal control data. The association signal control data in FIG. 6 includes a beacon identification code, a beacon transmission cycle, a beacon transmission level, a beacon transmission timer, and a reception data response interval as data items. The beacon identification code, the beacon transmission cycle, the beacon transmission level, and the beacon transmission timer are transmission parameters of a beacon signal that the object identification device 2 transmits to the sensor 1. The beacon transmission timer is a time for continuously transmitting a beacon signal. The reception data response interval is a cycle in which each sensor 1 transmits the association signal reception history data to the server 3 (via the object identification device 2).

  FIG. 7 is a configuration diagram of an example of association signal reception history data. The association signal reception history data of FIG. 7 includes a reception sensor ID, a transmission object ID, and a reception signal level for each reception time of the beacon signal as data items. That is, the associating signal reception history data indicates the reception signal level of the beacon signal of the object identification device 2 observed by the sensor 1 for each object identification device 2 and the combination of the object ID and the reception signal level for each reception time of the beacon signal. Hold as.

  The object competition analysis unit 33 refers to all corresponding association signal reception history data from the association signal reception history data storage unit 41, in other words, records of association signal reception history data corresponding to the sensor ID of the sensor 1, The presence / absence of the object identification device 2 satisfying the determination condition defined in the association signal reception history data analysis data shown in FIG. 8 is determined.

  FIG. 8 is a configuration diagram of an example of the association signal reception history data analysis data. The association signal reception history data analysis data in FIG. 8 includes determination conditions, analysis cycles, and analysis frequency counters as data items for each sensor type.

  When the number of object identification devices 2 that satisfy the determination condition is n or less (n is the maximum number of object identification devices 2 that can be associated with the sensor 1 included in the sensor type data), the object conflict analysis unit 33 identifies the object that satisfies the determination condition. All the object state data of the device 2 is referred to and it is determined whether or not the object state data can be updated. After updating the object state data related to the updatable object identification device 2, the object conflict analysis unit 33 transmits an association instruction to the corresponding object identification device 2 and sensor 1.

  Note that the object conflict analysis unit 33 instructs the object identification device 2 that cannot be updated to end the association. When the number of object identification devices 2 that satisfy the determination condition is n or more, the object conflict analysis unit 33 causes the association signal management unit 32 to continue the association signal transmission process.

  The server application processing unit 34 collects, stores, and uses sensing data in cooperation with the terminal application processing unit 23 of the object identification device 2. For example, the server application processing unit 34 stores the sensing data of FIG. 9 in the sensing data storage unit 42. FIG. 9 is a configuration diagram of an example of sensing data. The sensing data in FIG. 9 holds sensing data as sensor measurement history data for each set of object ID and sensor ID. The wide area communication unit 35 is a means for communicating with the object identification device 2 installed remotely.

  The block configuration of the sensing data management system in FIG. 1B is as shown in FIG. 10, for example. FIG. 10 is a block diagram of another example of the sensing data management system. The sensing data management system shown in FIG. 10 is different from the sensing data management system shown in FIG. 2 in that the server 3 is connected to the sensor 1 instead of the object identification device 2 via a wide area communication network. For this reason, the sensing data management system of FIG. 10 differs from the sensing data management system of FIG. 2 in that the sensor 1 has the wide area communication unit 16 instead of the object identification device 2. Other than that, the sensing data management system of FIG. 10 is the same as the sensing data management system of FIG.

  In the sensing data management system shown in FIGS. 2 and 10, at least a part of the blocks of the server 3 may be appropriately distributed in one or both of the sensor 1 and the object identification device 2.

(Hardware configuration of server 3)
The server 3 is realized by executing the sensing data management program of this embodiment with a computer system as shown in FIG. FIG. 11 is a hardware configuration diagram of an example of a computer system that implements a server.

  The server 3 includes an input device 51, an output device 52, a drive device 53, an auxiliary storage device 54, a main storage device 55, an arithmetic processing device 56, and an interface device 57 that are mutually connected by a bus B.

  The input device 51 is a keyboard or a mouse. The input device 51 is used for inputting various signals. The output device 52 is a display device or the like. The output device 52 is used for displaying various windows and data. The interface device 57 is a modem, a LAN card, or the like. The interface device 57 is used to connect to the wide area communication network 5.

  The sensing data management program according to the present embodiment is at least a part of various programs that control the server 3. The sensing data management program is provided by, for example, distribution of the recording medium 58 or downloading from the wide area communication network 5.

  The recording medium 58 on which the sensing data management program is recorded is information such as a CD-ROM, a flexible disk, a magneto-optical disk, etc., a recording medium for recording information optically, electrically or magnetically, a ROM, a flash memory, etc. Various types of recording media, such as a semiconductor memory that electrically records data, can be used.

  When the recording medium 58 on which the sensing data management program is recorded is set in the drive device 53, the sensing data management program is installed from the recording medium 58 to the auxiliary storage device 54 via the drive device 53. The sensing data management program downloaded from the wide area communication network 5 is installed in the auxiliary storage device 54 via the interface device 57.

  The auxiliary storage device 54 stores the installed sensing data management program and stores necessary files, data, and the like. The main storage device 55 reads the sensing data management program from the auxiliary storage device 54 and stores it. The arithmetic processing unit 56 implements various processing blocks as described later according to a sensing data management program stored in the main storage device 55.

  For example, the processing procedure of various blocks of the sensing data management system shown in FIG. The processing procedure of various blocks of the sensing data management system shown in FIG. 10 is different in that the server 3 is connected to the sensor 1 via a wide area communication network so that data communication is possible, but the basic processing procedure is as follows. Since it is similar to the sensing data management system shown in FIG.

  Here, in order to save labor at the hospital counter, an example in which a patient (temperature sensor) 1 measures the body temperature of the patient himself and sends sensing data (temperature measurement result) to the server 3 via the object identification device (wireless terminal) 2 Will be explained.

  FIG. 12 is an image diagram of an example of a sensing data management system. For example, it is assumed that user A who is a patient has a cold and goes to the hospital. User A receives the wireless terminal 2A at the hospital reception. The wireless terminal 2A stores the object ID “0123”. The wireless terminal 2 </ b> A is associated with user A's profile data (such as an electronic medical record) by the operation of a reception nurse or the like or the user A. The wireless terminal 2A may be automatically associated with the profile data of the user A by reading information from a patient card or the like possessed by the user A.

  Here, an example will be described in which the wireless terminal 2A and the profile data of the user A are associated with each other by an operation of a reception nurse or the like and then given to the user A after the wireless terminal 2A is turned off. The user A hangs the received wireless terminal 2A from the neck, for example, and turns on the power of the wireless terminal 2A. At this time, the terminal application processing unit 23 of the wireless terminal 2A and the server 3 perform wide area communication. The server (application server) 3 authenticates the wireless terminal 2A, and starts the service to the wireless terminal 2A when the authentication is successful.

  The user A inputs to the radio terminal 2A that he / she wants to consult an internal medicine with a cold. When the terminal application processing unit 23 of the wireless terminal 2A inputs that it is desired to consult an internal medicine due to a cold, it notifies the server 3 that it is desired to consult the internal medicine due to a cold, and displays a guidance screen for the internal medicine on the wireless terminal 2A . The user A goes to the internal medicine according to the guidance screen displayed on the wireless terminal 2A.

  Further, the server 3 determines that the first visit is based on the profile data of the user A, and activates the internal medicine first visit patient application as the server application processing unit 34. The application for the first medical examination patient determines that the user A who has “cold at first medical examination” needs temperature measurement by the temperature sensor.

  The internal medicine first patient application notifies the user A using the HMI unit 22 of the wireless terminal 2A so that one temperature sensor is picked up from the internal medicine reception table and temperature is detected. In addition, the internal medicine first patient application activates the association processing control unit 31 to associate the temperature sensor with the wireless terminal 2A of the user A. Thereafter, the association processing control unit 31 waits for an association request signal. The sensor association processing unit 24 of the wireless terminal 2A also waits for an association request signal.

  The user A picks up the temperature sensor 1A from the internal medicine reception table. The temperature sensor 1A stores a sensor ID “002”. The object association processing unit 14 of the temperature sensor 1A is waiting for a sensing trigger. The sensing trigger refers to detection of a predetermined event such as power-on of the temperature sensor 1A, completion of sensing preparation, or start of sensing.

  The user A starts temperature measurement by pressing, for example, a power button of the temperature sensor 1A. When the user A presses the power button, the sensing data management system starts the following association process.

  13 to 23 are flowcharts of an example of the association process. When the user A presses the power button, the sensing data processing unit 13 of the temperature sensor 1A detects power-on and notifies the object association processing unit 14 of a sensing trigger.

  In step S <b> 1 of FIG. 13, the object association processing unit 14 of the temperature sensor 1 </ b> A is notified of a sensing trigger from the sensing data processing unit 13. In step S2, the object association processing unit 14 generates an object association request signal triggered by a sensing trigger notification. The object association request signal includes the MAC address of the temperature sensor 1A, the service access point identifier of the sensing data processing unit 13, the sensor ID, and time information. Note that transmission power, antenna directivity, and the like may be set in the object association request signal according to the characteristics (sensing area, sensing time, etc.) of the temperature sensor 1A.

  In step S3, the object association processing unit 14 transmits an object association request signal by broadcasting. Thereafter, the object association processing unit 14 waits for a response.

  In step S11 of FIG. 14, the sensor association processing unit 24 of the wireless terminal 2A receives the object association request signal from the temperature sensor 1A. The sensor association processing unit 24 assigns an object ID to the received object association request signal and transmits it to the association processing control unit 31 of the server 3 via the wide area communication network 5. Thereafter, the sensor association processing unit 24 waits for a response.

  In step S21 of FIG. 15, the association processing control unit 31 of the server 3 receives the object association request signal to which the object ID is assigned from the sensor association processing unit 24 of the wireless terminal 2A. In step S22, the association processing control unit 31 analyzes the received object association request signal.

  In step S23, the association processing control unit 31 determines whether or not a plurality of object association request signals including the same sensor ID and time information are received in step S21. In other words, the association processing control unit 31 determines that an object association request signal including the same sensor ID and time information has not been received from a wireless terminal other than the wireless terminal 2A.

  If it is determined that a plurality of object association request signals including the same sensor ID and time information have not been received, the association processing control unit 31 proceeds to step S24. The association processing control unit 31 determines the sensor type “temperature sensor” based on the sensor attribute data and the sensor ID included in the object association request signal received from the wireless terminal 2A.

  Further, the association processing control unit 31 is based on the sensor type data and the determined sensor type “temperature sensor”, the object state “body temperature”, the state operation logic “records the value as it is”, and the object correspondence condition “only one object”. ] Etc. are determined. In other words, the association processing control unit 31 records the body temperature of the sensing object sensed by the temperature sensor 1A as it is, and determines that the association with the only wireless terminal 2A is necessary.

  The association processing control unit 31 ignores the object association request signal from the sensor 1 other than the sensor type “temperature sensor”. This is because the internal medicine first patient application does not use the sensor 1 other than the sensor type “temperature sensor”.

  In step S25, the association processing control unit 31 refers to the object state data based on the object ID included in the received object association request signal, and determines whether or not the object state of the wireless terminal 2A can be updated. In step S26, if the association processing control unit 31 determines that the object state can be updated, the process proceeds to step S27.

  In step S27, the association processing control unit 31 updates the object state of the object state data to a provisional value “during sensing” and the priority is updated. In step S28, the association processing control unit 31 updates the correspondence object ID of the sensor attribute data to the object ID of the wireless terminal 2A.

  Proceeding to step S29, the association processing control unit 31 transmits an object association response signal instructing association with the temperature sensor 1A to the wireless terminal 2A. The object association response signal includes the object ID of the wireless terminal 2A and the sensor ID of the temperature sensor 1A.

  In step S <b> 41 of FIG. 16, the sensor association processing unit 24 of the wireless terminal 2 </ b> A receives an object association response signal from the server 3. The sensor association processing unit 24 transmits an object association response signal to which the MAC address of the wireless terminal 2A and the service access point identifier of the terminal application processing unit 23 are assigned to the temperature sensor 1A.

  In step S42, the sensor association processing unit 24 sets the MAC address of the temperature sensor 1A and the service access point identifier of the sensing data processing unit 13 as a communication destination of application information such as sensing data.

  In step S51 of FIG. 17, the object association processing unit 14 of the temperature sensor 1A receives an object association response signal from the wireless terminal 2A. In step S52, the object association processing unit 14 sets the MAC address of the wireless terminal 2A and the service access point identifier of the terminal application processing unit 23 as the communication destination of the application information, thereby associating with the wireless terminal 2A. Complete. The object association processing unit 14 of the temperature sensor 1A may notify the server 3 of the completion of association with the wireless terminal 2A.

  Thereafter, the sensing data processing unit 13 of the temperature sensor 1A, the terminal application processing unit 23 of the wireless terminal 2A, and the server application processing unit 34 of the server 3 resume the processing of the application, and exchange at the application level (sensing request, release request, etc. Sensing data is collected and stored in the sensing data storage unit 42. The sensing data may be sent together when the temperature sensor 1A sends the object association request signal in step S3.

  If it is determined in step S23 that a plurality of object association request signals including the same sensor ID and time information have been received, the association processing control unit 31 of the server 3 proceeds to step S61 in FIG. For example, when the association processing control unit 31 receives an object association request signal including the sensor ID “002” from the wireless terminals 2A and 2B in FIG. 12, it receives a plurality of object association request signals including the same sensor ID. judge.

  In step S61, as in step S24, the association processing control unit 31 uses the sensor type “temperature sensor” based on the sensor attribute data and the sensor ID included in the object association request signal received from the wireless terminals 2A and 2B. Determine.

  Further, the association processing control unit 31 is based on the sensor type data and the determined sensor type “temperature sensor”, the object state “body temperature”, the state operation logic “record the value as it is”, and the object correspondence condition “only one object”. ] Etc. are determined.

  In step S62, the association processing control unit 31 determines whether the temperature sensor 1A can associate with a plurality of objects (wireless terminals 2A and 2B). The association processing control unit 31 determines that the temperature sensor 1A cannot associate with a plurality of objects, and proceeds to step S63. In step S63, the association processing control unit 31 refers to the object state data based on the object IDs of the wireless terminals 2A and 2B, and determines whether or not the object states of the wireless terminals 2A and 2B can be updated. Here, description will be made assuming that the object states of the wireless terminals 2A and 2B are determined to be updatable.

  In step S64, the association processing control unit 31 determines that the object states of the wireless terminals 2A and 2B can be updated. Therefore, the operation proceeds to step S65 and activates the association signal management unit 32. The association signal management unit 32 performs association signal management processing.

  FIG. 19 is a flowchart of an example of the association signal management process. The association signal management unit 32 proceeds to step S71, refers to the association signal control data, and transmits to the wireless terminals 2A and 2B the transmission parameter, the reception as the association signal (beacon signal) parameter according to the sensor type. Determine the data response interval parameter. The transmission parameters include a beacon identification code, a beacon transmission cycle, a beacon transmission level, and a beacon transmission timer.

  Proceeding to step S72, the association signal management unit 32 transmits the parameters of the association signal determined in step S71 to all the corresponding radio terminals 2A and 2B, which are object identification devices 2, and sends the beacon signal to the temperature sensor 1A. Instruct to send. In step S73, the association signal management unit 32 waits for the timer to expire after setting the analysis cycle timer.

  In step S <b> 81 of FIG. 20, the sensor association processing unit 24 of the wireless terminals 2 </ b> A and 2 </ b> B receives the association signal parameter from the server 3. In step S82, the sensor association processing unit 24 of the wireless terminals 2A and 2B transmits a reception data response interval parameter to the temperature sensor 1A. The wireless terminals 2A and 2B wait for a response from the temperature sensor 1A after transmitting the reception data response interval parameter to the temperature sensor 1A.

  In step S91, the object association processing unit 14 of the temperature sensor 1A receives the reception data response interval parameter from the wireless terminals 2A and 2B. In step S92, the object association processing unit 14 of the temperature sensor 1A responds to the wireless terminals 2A and 2B to receive the reception data response interval parameter. After the reception of the reception data response interval parameter is responded to the wireless terminals 2A and 2B, the object association processing unit 14 of the temperature sensor 1A waits to receive an association signal (beacon signal). In step S83, the sensor association processing unit 24 of the wireless terminals 2A and 2B is responded to reception of the reception data response interval parameter from the temperature sensor 1A.

  Proceeding to step S84, the sensor association processing unit 24 of the wireless terminals 2A and 2B starts transmitting the association signal to the temperature sensor 1A in the beacon transmission cycle. Then, the sensor association processing unit 24 proceeds to step S85, sets the beacon transmission timer, and waits for the timer to expire.

  In step S93, the object association processing unit 14 of the temperature sensor 1A receives the association signal from the wireless terminals 2A and 2B, and the received signal level of the association signal from the wireless terminals 2A and 2B is history data for each reception time. Accumulate as.

  In step S94, the object association processing unit 14 sets a reception data response interval timer and then waits for the timer to expire. In step S95, the set reception data response interval timer expires. In step S96, the object association processing unit 14 generates association signal reception data by combining the object ID included in the association signal and the accumulated history data.

  In step S97, the object association processing unit 14 broadcasts the association signal reception data generated in step S96. Note that the object association processing unit 14 may transmit the generated association signal reception data by determining a specific wireless terminal 2 as a relay node instead of broadcasting.

  For example, the object association processing unit 14 broadcasts association signal reception data related to two sets of association signals received from the wireless terminals 2A and 2B, respectively. After transmitting the association signal reception data, the object association processing unit 14 waits for reception of the association signal.

  In step S86, the sensor association processing unit 24 of the wireless terminals 2A and 2B receives the association signal reception data from the temperature sensor 1A. The sensor association processing unit 24 transfers the received association signal reception data to the server 3, and then returns to step S84.

  In step S74 of FIG. 19, the association signal management unit 32 receives association signal reception data from the wireless terminals 2A and 2B. Then, the association signal management unit 32 proceeds to step S75, records the received association signal reception data as association signal reception history data in the association signal reception history data storage unit 41, and then waits for the timer end of the analysis cycle timer. It becomes. In step S89 in FIG. 20, the set beacon transmission timer expires. The sensor association processing unit 24 returns to step S84.

  In step S76 of FIG. 19, the analysis cycle timer expires. In step S77, the association signal management unit 32 of the server 3 activates the object conflict analysis unit 33 and causes the object conflict analysis unit 33 to perform object conflict analysis processing.

  FIG. 21 is a flowchart of an example of object conflict analysis processing. In step S101, the object conflict analysis unit 33 refers to the association signal reception history data related to the wireless terminals 2A and 2B, which are all corresponding object identification devices 2, recorded in the association signal reception history data storage unit 41. To do.

  In step S102, the object conflict analysis unit 33 refers to the association signal reception history data analysis data recorded in the association signal reception history data analysis data storage unit 39, and sets an analysis number counter.

  In step S103, the object conflict analysis unit 33 analyzes the association signal reception history data regarding the wireless terminals 2A and 2B referred to in step S101, and satisfies the determination condition defined in the association signal reception history data analysis data. The presence or absence of the identification device 2 is determined. Here, it is assumed that the wireless terminal 2A satisfies the determination condition.

  That is, in step S103, an object whose level of the association signal (reception signal level) received by the temperature sensor 1A at all (or a certain ratio or more) reception time is equal to or higher than the determination level and within the allowable variation range. The presence or absence of the identification device 2 is determined.

  In step S104, the object conflict analysis unit 33 proceeds to step S105 because there is an object identification device 2 (wireless terminal 2A) that satisfies the determination condition defined in the association signal reception history data analysis data.

  In step S105, the object conflict analysis unit 33 refers to the object state data corresponding to the object ID of the wireless terminal 2A that satisfies the determination condition. In step S106, the object conflict analysis unit 33 determines whether the object state of the wireless terminal 2A can be updated. Here, it is assumed that the object state of the wireless terminal 2A is determined to be updatable.

  The object conflict analysis unit 33 determines whether the number of objects whose object state can be updated is n or less. n is the maximum number of objects that can be simultaneously associated with the target sensor 1. In the case of the temperature sensor 1A, n is 1. Here, it is assumed that the number of objects whose object state can be updated is determined to be n or less.

  If the object conflict analysis unit 33 determines that the number of objects whose object state can be updated is n or less, the process advances to step S107 to update the object state of the object state data to a provisional value “during sensing”, and the like. Update priority.

  In step S108, the object conflict analysis unit 33 updates the corresponding object ID of the sensor attribute data to the object ID of the wireless terminal 2A. In step S109, the object conflict analysis unit 33 resets the analysis number counter.

  In step S110, the object conflict analysis unit 33 transmits an object association instruction signal for instructing association with the temperature sensor 1A to the wireless terminal 2A. In step S111, the object conflict analysis unit 33 transmits an association end instruction signal that instructs the wireless terminal 2A to end the association process.

  The processing in steps S107 to S111 is executed for all the object identification devices 2 for which it has been determined in step S106 that the object state can be updated. The object conflict analysis unit 33 ends the processing after executing the processing of steps S107 to S111 for all the object identification devices 2 determined to be able to update the object state in step S106.

  The object association instruction signal transmitted from the server 3 in step S110 is received by the sensor association processing unit 24 of the wireless terminal 2A in step S87 of FIG. The sensor association processing unit 24 transmits an object association response signal to which the MAC address of the wireless terminal 2A and the service access point identifier of the terminal application processing unit 23 are assigned to the temperature sensor 1A. Then, the sensor association processing unit 24 proceeds to step S42 in FIG.

  In step S98 of FIG. 20, the object association processing unit 14 of the temperature sensor 1A receives an object association response signal from the wireless terminal 2A. Then, the object association processing unit 14 proceeds to step S52 in FIG.

  The association end instruction signal transmitted from the server 3 in step S111 is received by the sensor association processing unit 24 of the wireless terminal 2A in step S88 of FIG. Thereafter, the terminal application processing unit 23 of the wireless terminal 2A restarts the application processing.

  If the association processing control unit 31 determines in step S26 in FIG. 15 that the object state cannot be updated, the association processing control unit 31 proceeds to step S30 and determines whether the retry counter has reached a predetermined number of times. If the retry counter has not reached the predetermined number of times, the association processing control unit 31 proceeds to step S31, increments the retry counter by 1, and then transmits a retry request to the wireless terminal 2A.

  In step S <b> 121 of FIG. 22, the sensor association processing unit 24 of the wireless terminal 2 </ b> A receives a retry request from the server 3. The sensor association processing unit 24 transmits a retry request to the temperature sensor 1A.

  In step S131 of FIG. 23, the object association processing unit 14 of the temperature sensor 1A receives a retry request from the wireless terminal 2A. The object association processing unit 14 that has received the retry request proceeds to step S132, pauses for a predetermined time, and then proceeds to step S2 in FIG.

  If the retry counter has reached the predetermined number in step S30 in FIG. 15, the association processing control unit 31 proceeds to step S32 and executes an exception process such as notifying the administrator or the user.

  In the exception process, for example, using the HMI unit 22 of the wireless terminal 2A, a message such as “Please measure again” is displayed, and when the retry fails, the temperature measurement result displayed on the temperature sensor 1A is displayed. It is conceivable to display a message that the user directly inputs from the wireless terminal 2A and to allow the user to directly input the temperature measurement result.

  If the association processing control unit 31 determines in step S62 in FIG. 18 that the sensor 1 can associate with a plurality of objects, the process proceeds to step S66. In step S66, the association processing control unit 31 refers to the object state data based on the object IDs of the wireless terminals 2A and 2B, and determines whether or not the object states of the wireless terminals 2A and 2B can be updated.

  In step S67, when the association processing control unit 31 determines that the object states of the wireless terminals 2A and 2B can be updated, the process proceeds to step S27 in FIG. If the association processing control unit 31 determines that the object states of the wireless terminals 2A and 2B cannot be updated, the process proceeds to step S30 in FIG.

  Further, if there is only one object whose object state can be updated in step S64 in FIG. 18, the association processing control unit 31 proceeds to step S27 in FIG. Further, the server application processing unit 34 of the server 3 resumes the application processing when the association signal management processing in step S65 is completed.

  In step S104 in FIG. 21, if there is no object identification device 2 that satisfies the determination condition, the object conflict analysis unit 33 proceeds to step S30 in FIG. If the object conflict analysis unit 33 determines in step S106 that the number of objects whose object state can be updated is not less than n, the process proceeds to step S112, and the analysis number counter is decremented.

  In step S113, the object conflict analysis unit 33 determines whether the analysis number counter is greater than zero. If the analysis number counter is greater than 0, the object conflict analysis unit 33 proceeds to step S73 in FIG. If the analysis number counter is not greater than 0, the object conflict analysis unit 33 proceeds to step S30 in FIG.

  Further, the object conflict analysis process in step S77 will be described with reference to the image diagram of FIG. For example, it is assumed that the server 3 records association signal reception history data as shown in FIG.

  The object competition analysis unit 33 refers to and analyzes the association signal reception history data recorded in the association signal reception history data storage unit 41. The association signal reception history data in FIG. 7 is graphed as shown in FIG. FIG. 24 is a graph of an example of association signal reception history data.

  FIG. 24A shows association signal observation data by the temperature sensor 1A with the sensor ID = 002. FIG. 24B shows association signal observation data by the temperature sensor 1B having the sensor ID = 029. As shown in FIG. 24A, the temperature sensor 1A with sensor ID = 002 has received the association signal (beacon signal) from the wireless terminal 2A with object ID = 0123 and the wireless terminal 2B with object ID = 0789. . As shown in FIG. 24B, the temperature sensor 1B with sensor ID = 029 receives the association signal from the wireless terminal 2B with object ID = 0789.

  It can be seen from FIG. 24B that the wireless terminal 2A has not received the object association request signal from the temperature sensor 1B. On the other hand, the wireless terminal 2B receives both object association request signals from the temperature sensors 1A and 1B.

  Referring to FIG. 24A, all the received signal levels, which are the determination conditions of the temperature sensor shown in FIG. 8, are 0.3 mW (determination level value) or more, and all (or a certain ratio or more) of the received signal levels. The object identification device 2 whose variation is within 0.4 mW (allowable variation range) is the wireless terminal 2A.

  The object competition analysis unit 33 refers to the object state data regarding the wireless terminal 2A as the association information of the temperature sensor 1A, and determines whether or not the update is possible. If the object identification device 2 that satisfies all the determination conditions of the temperature sensor is other than the wireless terminal 2A, from the transmission of the association signal to the analysis of the association signal reception history data by a preset number of times (analysis number counter). The process is repeated.

  Since the object state data of the wireless terminal 2A shown in FIG. 5 can be updated, the object state is updated to the provisional value “during sensing” and the priority “3” is updated. Further, the object conflict analysis unit 33 updates the corresponding object ID of the sensor attribute data to the object ID “0123” of the wireless terminal 2A.

  The object competition analysis unit 33 transmits an object association instruction signal that instructs association with the temperature sensor 1A to the wireless terminal 2A. Further, the object competition analysis unit 33 transmits an association end instruction signal for instructing the wireless terminal 2B to end the association process.

  As described above, the sensing data management system according to the present embodiment broadcasts the object association request signal on the short-range wireless when the sensor 1 starts sensing, and receives the object association request signal (object object 2) The server 3 performs the association determination with “uniquely correspond to”.

  The association determination is performed using information that defines how to use the sensor 1 for each application and information that indicates the current object state. In the sensing data management system of this embodiment, which sensor 1 updates which state of which object and how is updated for each application.

  In addition, the sensing data management system of this embodiment controls whether or not the object state data of the object can be updated based on the state valid time and priority of each sensor 1 (resolving conflict among the plurality of sensors 1). The server 3 performs control for performing association determination at the time of multiple object competition.

  The sensing data management system of the present embodiment outputs an association signal corresponding to the characteristics of the sensor 1 from the object identification device 2 that has received the object association request signal. The correlation signal reception history data from the plurality of object identification devices 2 received by the sensor 1 is analyzed, and the positional relationship between the sensor 1 and the object identification device 2 is stable and within a certain range (the reception signal level is equal to or higher than the determination level). In addition, the association determination is performed depending on whether or not it is within the allowable variation range.

(effect)
According to the sensing data management system of the present embodiment, the user and the system administrator can associate the sensing data with the sensing object without performing complicated processing. Various services that use sensing data can be realized without compromising the benefits of optimization and efficiency.

  The present invention is not limited to the specifically disclosed embodiments, and various modifications and changes can be made without departing from the scope of the claims. In addition, the location in which the subject of processing is described as a program in the embodiment indicates that the arithmetic processing unit 56 performs processing by executing the program.

DESCRIPTION OF SYMBOLS 1 Sensor 1A, 1B Temperature sensor 2 Object identification apparatus 2A, 2B Wireless terminal 3 Server 4 Short-distance wireless network 5 Wide area communication network 11 Sensor ID storage part 12 HMI (Human Machine Interface) part 13 Sensing data processing part 14 Object matching process Unit 15, 25 Short-range wireless unit 21 Object ID storage unit 22 HMI unit 23 Terminal application processing unit 24 Sensor association processing unit 16, 26, 35 Wide area communication unit 31 Association processing control unit 32 Association signal management unit 33 Object competition Analysis unit 34 Server application processing unit 36 Sensor type data storage unit 37 Object state data storage unit 38 Association signal control data storage unit 39 Association signal reception history data analysis data storage unit 40 Sensor attribute data storage unit 41 Association signal Signal reception history data storage unit 42 Sensing data storage unit 51 Input device 52 Output device 53 Drive device 54 Auxiliary storage device 55 Main storage device 56 Arithmetic processing device 57 Interface device 58 Recording medium B bus

Claims (4)

A sensing data management device for managing sensing data measured by a sensor for a sensing object associated with an object identification device,
Included in the first information when the first information including the object ID of the first object identification device, the sensor ID of the communication destination sensor of the first object identification device, and the time information is received. Determination means for determining whether or not the second information including the same sensor ID and the same time information as the sensor ID and the time information to be received and the object ID of the second object identification device is received;
When the determination means determines that the second information has been received, the signal from each of the first object identification device and the second object identification device observed by the sensor specified by the sensor ID A selection means for selecting an object identification device whose reception level satisfies the reception determination condition;
Association means for associating the object identification device selected by the selection means with the sensing data;
A sensing data management device characterized by comprising:   2. The sensing data management apparatus according to claim 1, wherein the reception determination condition is a condition that the reception level is within an allowable variation range. A sensing data management system comprising a sensor for measuring a sensing object, an object identification device corresponding to the sensing object, and a sensing data management device for managing sensing data measured by the sensor,
The sensing data management device is
Included in the first information when the first information including the object ID of the first object identification device, the sensor ID of the communication destination sensor of the first object identification device, and the time information is received Determination means for determining whether or not the second information including the same sensor ID and the same time information as the sensor ID and the time information to be received and the object ID of the second object identification device is received;
When it is determined that the second information has been received by the determination means, signals of the first object identification device and the second object identification device observed by the sensor specified by the sensor ID A selection means for selecting an object identification device whose reception level satisfies the reception determination condition;
Association means for associating the object identification device selected by the selection means with the sensing data;
Sensing data management system characterized by comprising In the sensing data management device in a sensing data management system, comprising: a sensor that measures a sensing object; an object identification device that corresponds to the sensing object; and a sensing data management device that manages sensing data measured by the sensor. A program to be executed,
The sensing data management device;
Included in the first information when the first information including the object ID of the first object identification device, the sensor ID of the communication destination sensor of the first object identification device, and the time information is received Determination means for determining whether or not the second information including the same sensor ID and the same time information as the sensor ID and the time information to be received and the object ID of the second object identification device is received;
When it is determined that the second information has been received by the determination means, signals of the first object identification device and the second object identification device observed by the sensor specified by the sensor ID A selection means for selecting an object identification device whose reception level satisfies the reception determination condition;
Association means for associating the object identification device selected by the selection means with the sensing data;
A program characterized by functioning as

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