JP5544021B2 - Location management device and location management method - Google Patents

Description

  The present invention relates to a position management method and a position management apparatus. More specifically, the present invention relates to a location management device and a location management method in which a server estimates location relevance between devices using event information acquired from two or more device management devices via a network.

  In recent years, in the railway industry, for the purpose of improving passenger services, a new cooperation service using station equipment (hereinafter, station equipment cooperation service) is being studied. For example, it is possible to evaluate the advertising effect by counting the number of people who saw the advertisement by combining the surveillance camera and the advertising space, or to detect abnormal behavior by performing image processing on the video of the surveillance camera (Non-Patent Document 1). It is being considered. When providing such a station service equipment cooperation service, it would be costly to install all station service equipment, so it is desirable to utilize existing station service equipment as much as possible.

  Here, station service equipment is a general term for business equipment used in a station, and refers to, for example, an automatic ticket gate, an automatic ticket vending machine, a POS (Point Of Sales) terminal, a monitoring camera, a home, an advertising space, and the like.

  However, the location management of the existing station service equipment is not sufficient, and the station where the station service equipment exists is known, but the actual location may not be known. For example, there are cases where the ticket gate XXX number does not know where the AAA station is located, and the surveillance camera YYY number does not know where the AAA station is imaged.

  In order to realize a station service equipment linkage service, the positional relationship between station service equipment (for example, which surveillance camera is showing a certain advertising space, which is a surveillance camera that detects the fall of a passenger from the platform to the track) It is necessary to create the positional relationship between the station service devices at present. In addition, since there are devices that can be easily carried around like POS terminals and whose installation location changes depending on the day, an operator must update the positional relationship each time the installation location is changed.

  An operator is a person who creates and updates the positional relationship between station service devices. For example, a developer of a station service device cooperation service, a station service device manager, a station service device maintainer, etc. .

  As a method for knowing the position of the device, a method using GPS (Global Positioning System) is representative. However, in this case, it is necessary to install a GPS receiver for each device. Further, even if a GPS receiver is installed for each device, positioning cannot be performed in an environment where it is difficult to receive GPS radio waves such as indoors or underground. For this reason, there is a problem that the position of station equipment installed indoors or underground cannot be known with GPS.

  As a method for managing the position of the monitoring camera without using the GPS, the operator who has the marker moves the target range in a predetermined order, and uses the order in which the marker is detected by each camera, and the monitoring camera on the drawing There is a method of associating the position setting of the camera and the camera ID assigned to the surveillance camera (Patent Document 1).

  In addition, as a method for easily recognizing the physical position of the information device connected to the network, there is a method of turning on only the indicator of the specified information device and turning off the indicators of all other information devices ( Patent Document 2).

JP 2010-98550 A JP 2004-179774 A

Railway Research Institute Report Vol. 21, no. 11, Nov. 2007 "Development of image processing method for detecting abnormal behavior"

  However, the method disclosed in Patent Document 1 has a problem that it cannot be used for position management of devices other than the monitoring camera, and an operator must go to a place where the monitoring camera exists with a marker.

  Moreover, in the method shown by patent document 2, there exists a subject that each apparatus needs to be provided with an indicator and the operator has to go to the place where a station service apparatus exists in order to perform lighting confirmation visually.

  In particular, when managing the position of station service equipment, there are a wide range of locations where station service equipment exists, which increases the labor required for workers to reach the station service equipment.

  Therefore, the present invention can be applied to devices other than the surveillance camera, can also be applied to devices that do not have an indicator, and the positions of the devices can be located without actually going to the place where the devices exist. An object of the present invention is to provide a position management apparatus and a position management method capable of estimating relevance.

  In order to achieve the above object, a location management device according to the present invention is a location management device connected via a network to a device management device that manages a plurality of devices, from the device management device, out of the plurality of devices. A first event that is an event that has occurred in the first device, a plurality of first event information that includes the time of occurrence of the first event, and a second device that is different from the first device. A second event having an association with the first event, and a plurality of second event information including an occurrence time of the second event. For each of the information acquisition unit to acquire, the first event, or the second event, the first occurrence time, the second occurrence time, the first event, and the second event Also related in common And calculating the relative distance between the first device and the second device, and associating the calculated relative distance with the first device and the second device. Among the position relevance candidate estimation units that output a plurality of position relevance candidate information and the position relevance candidate information output by the position relevance candidate estimation unit, Either the position information of the first device or the position information of the second device is acquired from the device management apparatus, and based on the acquired position information and the relative distance, the first device and the second device And a position estimation unit that estimates a distance between the devices.

  The present invention is also a location management method performed by the location management apparatus.

  As described above, according to the present invention, the present invention can be applied to devices other than the surveillance camera, can be applied to devices that do not include an indicator, and does not actually reach the place where the devices exist. In this case, it is possible to estimate the positional relevance between devices using the difference in the occurrence time of event information acquired from two or more device management servers.

  In addition, the burden on the operator is greatly reduced compared to the method of actually checking the position of the device as before, so it is possible to update the positional relationship between devices more than once a day It becomes. Therefore, it can also be used for position management of equipment such as a POS terminal whose installation position is changed depending on the day.

1 is a system configuration diagram showing a configuration example of a system to which the present invention is applied. The block diagram which shows the function structure of an apparatus position relevance estimation server. The hardware block diagram which shows the hardware constitutions of an apparatus position relevance estimation server. The figure which shows the condition assumed in order to demonstrate an example of embodiment of this invention. The figure which shows an example of a performance diagram. The figure which shows an example of entrance / exit recording. The whole flowchart which shows an example of the flow of a process in an apparatus positional relationship estimation server. The flowchart which shows an example of the flow of a process of apparatus position relevance candidate estimation. The figure which shows an example of an event table. The figure which shows an example of an apparatus position relevance candidate table. The flowchart which shows an example of the flow of a process of apparatus position relevance estimation. The figure which shows an example of an apparatus positional relationship table. The flowchart which shows an example of the flow of a process of apparatus position estimation. The figure which shows an example of an apparatus position table.

  Embodiments of a position management device and a position management method according to the present invention will be described below in detail with reference to the accompanying drawings.

  FIG. 1 is a system configuration diagram showing a configuration example of a system to which the present invention is applied. The device location relevance estimation server 10 is connected to a device management server such as an operation management server 20, a ticket gate management server 30, a surveillance camera management server 40, a ticket vending machine management server 50, and a drawing data management server 60 via a network 70. Has been.

  The operation management server 20 is a server that manages the operation of trains, and holds diagram information. The device location relevance estimation server 10 can acquire timetable information from the operation management server 20 via the network 70.

  The ticket gate management server 30 is a server that manages ticket gates, and holds entry / exit records. The device location relevance estimation server 10 can obtain an entry / exit record from the ticket gate management server 30 via the network 70.

  Similarly, the monitoring camera management server 40 and the ticket vending machine management server 50 each hold a monitoring camera video and a ticket sales record, and the monitoring camera video and the ticket sales record can be acquired from the device position relevance estimation server 10.

  The drawing data management server 60 is a server that manages drawing data of each station. The apparatus location relevance estimation server 10 can acquire drawing data of each station from the drawing data management server 60 via the network 70.

  The equipment position relevance estimation server 10, each station service equipment management server (operation management server 20, ticket gate management server 30, surveillance camera management server 40, ticket vending machine management server 50) and drawing data management server 60 are systems via a network 70. Is configured. However, the system configuration to which the present invention can be applied is not limited to this, and it is only necessary that the device location relevance estimation server and two or more station service device management servers are connected via a network.

  Further, the equipment management server shown in FIG. 1 is an example of a station service equipment management server for explanation, but this does not limit the field to which the present invention can be applied to the railway field. For example, the present invention can be used for airport device management by configuring the device management server with a flight schedule management server or a boarding gate management server.

  FIG. 2 is a block diagram illustrating a functional configuration of the device location relevance estimation server. As shown in FIG. 2, the device position relevance estimation server 10 includes a communication unit 101, an information acquisition unit 102, a device position relevance candidate estimation unit 103, a device position relevance estimation unit 104, a device position estimation unit 105, and a distance estimation. Means 106, statistical processing means 107, period execution means 108, and input means 109 are provided.

  The communication means 101 is means for communicating with each station service equipment server via the network 70.

  The information acquisition unit 102 is a unit that acquires event information from each station service device server by communicating with each station service device server through the communication unit 101.

  The device position relevance candidate estimation unit 103 is a unit that estimates a position relevance candidate between devices from the event information acquired by the information acquisition unit 102.

  The device position relevance estimation unit 104 is a unit that estimates the position relevance between devices from the position relevance candidates between devices estimated by the device position relevance candidate estimation unit 103.

  If the absolute position of one device is known and the absolute position of the other device is unknown based on the positional relationship between the devices estimated by the device position relationship estimation unit 104, the device position estimation unit 105 Is a means for estimating the absolute position of a device for which is unknown.

  The distance estimation unit 106 is a unit that estimates the relative distance between devices in the device position relevance candidate estimation unit 103.

  The statistical processing unit 107 is a unit that performs statistical processing in the device position relevance estimation unit 104, in particular, in order to estimate the position relevance between devices.

  The period execution means 108 is a means for periodically executing processing for obtaining device position relevance. By this means, it becomes possible to renew the device position relevance once a day, for example. However, it does not necessarily have to be executed periodically, and a process for obtaining the device position relevance manually may be executed.

  The input unit 109 is a unit that performs input to the device position relevance estimation server when manual input is required in the device position relevance candidate estimation unit 103 and the cycle execution unit 108.

  FIG. 3 is a hardware configuration diagram illustrating a hardware configuration of the device position relevance estimation server. As illustrated in FIG. 3, the device location relevance estimation server 10 includes a main control unit 201, a communication unit 202, and a main storage unit 203.

  The main control unit 201 controls information processing in the device position relevance estimation server 10 by the processor executing the program code recorded in the main storage unit 203.

  The communication unit 202 connects to each device management server via the network 70 and acquires event information. The communication unit 202 provides the communication unit 101 and the information acquisition unit 102.

  The main storage unit 203 stores information related to the device position relevance estimation server 10 in a nonvolatile manner, and program codes such as a device position relevance candidate estimation program 204, a device position relevance estimation program 205, and a device position estimation program 206, Tables such as a device position relevance candidate table 207, a device position relevance table 208, a device position table 209, and an event table 210 are stored.

  The device position relevance candidate estimation program 204 is a program code that provides the device position relevance candidate estimation means 103.

  The device position relevance estimation program 205 is a program code that provides the device position relevance estimation means 104.

  The device position estimation program 206 is a program code that provides the device position estimation program 105.

  The device position relevance candidate table 207 is a table that represents the position relevance candidates between devices, created by the device position relevance candidate estimation program 203.

  The device position relationship table 208 is a table that is created by the device position relationship estimation program 204 and represents the position relationship between devices.

  The device position table 209 is a table representing the device position created by the device position estimation program 205.

  The event table 210 is a table representing the relevance of event information obtained from each device management server, which is referred to by the device position relevance candidate estimation program 204.

  The distance estimation unit 106, the statistical processing unit 107, and the cycle execution unit 108 are also provided by a program code (not shown) stored in the main storage unit 203.

  In this configuration, for example, the main control unit 201 is realized by a CPU (Central Processing Unit) and a RAM (Random Access Memory), the communication unit 202 is implemented by Ethernet (registered trademark), and the main storage unit 203 is implemented by a hard disk. It can be configured with a well-known device.

  Hereinafter, a method in which the device position relevance estimation server 10 estimates the position relevance of the device will be described using a specific example.

  FIG. 4 is a diagram showing a situation assumed for explaining an example of the embodiment of the present invention. FIG. 4 shows the situation of the AAA station where the train 301 is about to arrive at the platform 302. There is a ticket gate 303 at a station building connected to the platform 302 by stairs.

  The train 301 is managed by the operation management server 20. Information on the platform where the train 301 arrives and departs, and the arrival and departure times are recorded in the operation management server 20 as a performance schedule. Here, in the record schedule, it is assumed that the train 301 is assigned the train number 1 and the home 302 is assigned the identifier PLATFORM001.

  The ticket gate 303 is managed by the ticket gate management server 30. The ticket gates that each passenger enters and exits and the entry and exit times are recorded in the ticket gate management server 30 as entry / exit records. Here, in the entry / exit record, it is assumed that an identifier GATE001 is assigned to the ticket gate 303.

  Here, it is assumed that the relative distance between the home 302 and the ticket gate 303 is unknown. The distance estimation unit 106 estimates the relative distance between the home 302 and the ticket gate 303 from event information that can be acquired from each device management server in FIG. In particular, here, the distance estimation means 106 estimates the relative distance between the home 302 and the ticket gate 303 using the record schedule acquired from the operation management server 20 and the entrance / exit record acquired from the ticket gate management server 30.

  FIG. 5 is a diagram illustrating an example of a performance diagram. The actual record diagram 401 includes a serial number column 402, a train number column 403, a time column 404, a station column 405, a home column 406, and an event column 407.

  The serial number column 402 is a column representing a serial number.

  The train number column 403 is a column that represents a number that can uniquely identify a train.

  The time column 404 is a column that represents the time at which the train represented by the train number column 403 in the same row arrives at or leaves the station.

  The station column 405 is a column that represents a station at which the train represented by the train number column 403 in the same row has arrived or departed.

  The home column 406 is a column representing a home where the train represented by the train number column 403 in the same row has arrived or departed.

  The event column 407 is a column indicating that the train represented by the train number column 403 in the same row has arrived or departed from the station.

  However, the configuration of the record schedule to which the present invention can be applied is not limited to this, and any train that can be uniquely identified may be any configuration that can obtain information on the station, home, and time at which the train arrived or departed.

  FIG. 6 is a diagram illustrating an example of an entry / exit record. The entry / exit record 501 includes a serial number column 502, a ticket gate column 503, a time column 504, a station column 505, and an event column 506.

  The serial number column 502 is a column representing a serial number.

  The ticket gate column 503 is a column that represents an identifier that can uniquely identify the ticket gate.

  The time column 504 is a column that represents the time when a passenger enters or exits the ticket gate represented by the ticket gate column 503 in the same row.

  The station column 505 is a column representing a station where the ticket gates represented by the ticket gate column 503 in the same row are installed.

  The event column 506 is a column indicating that a passenger has entered or entered the ticket gate represented by the ticket gate column 503 in the same row.

  However, the configuration of the entry / exit record to which the present invention can be applied is not limited to these, and any configuration can be used as long as it can obtain information on the station and time at which the passenger entered or participated in the ticket gate that can be uniquely identified.

  FIG. 7 is an overall flow diagram illustrating an example of a processing flow in the device location relevance estimation server. As shown in this figure, an example of the flow of processing in the equipment location relevance estimation server is as follows: a process (S101) for designating location relevance candidates for the home and the ticket gate from the record diagram and the ticket entry appearance record; The process includes a process of estimating the position relation between the home and the ticket gate from the position candidate of the machine (S102), and a process of estimating the position of the home and the ticket gate from the position relation between the home and the ticket checker (S103).

  S101 is provided by the device position relevance candidate estimation program 204, S102 is provided by the device position relevance estimation program 205, and S103 is provided by the device position estimation program 206.

  The process of FIG. 7 may be executed manually using the input unit 109 when updating the positional relevance of the device, or may be executed once a day using the periodic execution unit 108, for example.

  FIG. 8 is a flowchart illustrating an example of a processing flow of device position relevance candidate estimation. FIG. 8 shows details of S101 in FIG.

  In the device position relevance candidate estimation process, the device position relevance candidate estimation unit 103 first refers to the event table 210 as shown in FIG. 9 and acquires the relevance of the event used for obtaining the device position relevance. (S201).

  The event table 210 includes a serial number column 601, an event A column 602, an event B column 603, an order column 604, a time interval column 605, and a common item column 606.

  The serial number column 601 is a column representing a serial number.

  The event A column 602 is a column representing one of two related events.

  The event B column 603 is a column representing an event related to the event represented by the event A column 602 in the same row.

  The order column 604 is a column representing the occurrence order of the event represented by the event A column 602 in the same row and the event represented by the event B column 603 in the same row.

  The time interval column 605 is a column that represents the interval between the occurrence time of the event represented by the event A column 602 in the same row and the event represented by the event B column 603 in the same row.

  The common object column 606 is a column that represents objects and people that appear in common in the event represented by the event A column 602 in the same row and the event represented by the event B column 603 in the same row.

  However, the configuration of the event table to which the present invention can be applied is not limited to these, and any configuration may be used as long as information on the occurrence order of two events, the occurrence time interval, and common information can be obtained.

  Here, in order to obtain the positional relationship between the home and the ticket gate, the device position relationship candidate estimation means 103 obtains the relationship between the train arrival event to the home by the operation management system and the ticket gate appearance event by the ticket gate management system. To do. From the event table 210, the device position relevance candidate estimation unit 103 determines that the ticket gate entry event by the ticket gate management system occurs within 5 minutes after the occurrence of the train arrival event at the home by the operation management system. Relevance that the thing is a person can be acquired. The event table 210 is created, for example, by a system administrator examining the relevance of each event in advance. In addition, the system administrator can construct the event table according to the application field, so that the present invention can be applied not only to the railway field but also to various other fields. For example, in the field of aircraft equipment, the train arrival event at the home is replaced with an aircraft landing event at the airport, and the ticket gate entry event is replaced with a boarding gate passing event.

  Next, the device position relevance candidate estimation unit 103 determines whether there is a station that has not performed the device position relevance estimation in order to estimate the position relevance of the station service device existing at each station (S202). . If there is a station for which the device position relevance estimation is not performed, the process proceeds to S203, and if not, the process is terminated.

  The device position relevance candidate estimation unit 103 arbitrarily selects one station from stations that have not performed the device position relevance estimation (S203). Assume that equipment location relevance has been estimated for the selected station. Here, stations that are not subjected to device location relevance estimation may be regarded as an array and may be selected in order from the beginning, may be selected in order from the end, or may be selected randomly. Here, station AAA is selected.

  The equipment position relevance candidate estimation unit 103 determines whether the train arrival event related to the station selected in S203 exists in the actual schedule (S204). For example, the device position relevance candidate estimation unit 103 pays attention to the station item in the performance diagram 401 in FIG. 5 and determines whether the station AAA selected in S203 exists. If there is a train arrival event related to station AAA, the process proceeds to S205, and if not, the process proceeds to S202.

  The equipment position relevance candidate estimation unit 103 arbitrarily selects one train arrival event related to the station selected in S203 from the record schedule (S205). Here, the equipment position relevance candidate estimating unit 103 may regard train arrival events as an array and may select them sequentially from the top, may be selected sequentially from the end, or may be selected randomly. Here, the device location relevance candidate estimation means 103 selects the arrival event of serial number 10 in the performance diagram 401 of FIG.

  The equipment position relevance candidate estimation unit 103 determines whether there is a ticket gate entry event that occurred at a time close to the time of occurrence of the train arrival event selected in S205 (S206). For example, in the performance diagram 401 of FIG. 5, the occurrence time of the train arrival event of serial number 10 is 12:00, and the ticket gate entry event occurs within 5 minutes of the train arrival event from the event table 210 of FIG. Relevant. Therefore, the device position relevance candidate estimation unit 103 pays attention to the time, station, and event of the entry / exit record 501 in FIG. 6, and whether there is an entry event that occurred at the station AAA from 12:00:00 to 12:05. judge. Then, the device position relevance candidate estimation unit 103 proceeds to S207 if such an event exists, and proceeds to S204 if such an event does not exist.

  The equipment position relevance candidate estimation unit 103 arbitrarily selects one ticket gate entry event from among ticket ticket appearance events whose occurrence times are close to the train arrival event selected in S205 (S207). Here, the ticket gate appearance event is regarded as an array and may be selected in order from the top, in order from the end, or randomly. Here, the device position relevance candidate estimation unit 103 selects the ticket gate appearance event with the serial number 100 in the entry / exit record 501 of FIG.

  The equipment position relevance candidate estimating means 103 calculates the difference between the occurrence time of the train arrival event selected in S205 and the occurrence time of the ticket gate entry event selected in S207 (S208). For example, the occurrence time of the train arrival event of serial number 10 in the record diagram 401 of FIG. 5 is 12:00, and the occurrence time of the ticket gate entry event of serial number 100 in the entry / exit record 501 of FIG. 6 is 12:02. In this case, the difference in occurrence time is calculated to be 2 minutes.

  When the device position relevance candidate estimation unit 103 calculates the difference between the occurrence times described above, the distance estimation unit 106 acquires the movement speed of the person who is a common item between the train arrival event and the ticket gate entry event (S209). Here, the parameter of the movement speed of the person may be set manually, or the movement speed of the person may be estimated from the video of the surveillance camera. For example, the moving speed of a person is 50 meters per minute.

  Then, the distance estimation means 106 calculates the relative distance between the home and the ticket gate from the difference in occurrence time and the movement speed of the person (S210). For example, since there is a time difference of 2 minutes at a speed of 50 meters per minute, the relative distance between the home and the ticket gate is 100 meters. The home at this time is PLATFORM001 from the train arrival event of serial number 10 in the record diagram 401 of FIG. 5, and the ticket gate is GATE001 from the ticket appearance event of serial number 100 in the entry / exit record 501 of FIG.

The distance estimation unit 106 registers the position relationship obtained in S210 in the device position relationship candidate table 207 as shown in FIG. 10 (S211). Thereafter, the process proceeds to S206. The device position relevance candidate table 207 includes a serial number column 701, a device A column 702, a device B column 703, a station column 704, and a relative distance column 705.

  The serial number column 701 is a column representing a serial number.

  The device A column 702 is a column that represents one of two devices that have a positional relationship.

  The device B column 703 is a column that represents a device having a positional relationship with the device represented by the device A column 702 in the same row.

  The station column 704 is a column that represents a station in which the device represented by the device A column 702 in the same row and the device represented by the device B column 703 in the same row are installed.

  The relative distance column 705 is a column representing the relative distance between the device represented by the device A column 702 in the same row and the device represented by the device B column 703 in the same row.

  However, the configuration of the device position relevance candidate table to which the present invention can be applied is not limited to these, and any configuration may be used as long as information on the installation stations and relative distances of two devices can be obtained.

  Here, the distance estimation means 106 registers in the device position relevance candidate table that the relative distance between PLATFORM001 and GATE001 existing at the AAA station is 100 meters.

  By executing the above processing, it is possible to estimate position relevance candidates for the platform and the ticket gate related to the train arrival event and the ticket appearance event that have actually occurred. As shown in the device position relevance candidate table 207 in FIG. 10, a plurality of relative distances between the same devices are estimated, and one relative distance is obtained later using statistical processing.

  FIG. 11 is a flowchart illustrating an example of a processing flow of device position relevance estimation. FIG. 11 shows details of S102 in FIG.

  First, the device position relevance estimation unit 104 determines whether a device position relevance candidate exists in the device position relevance candidate table (S301). The device position relevance estimation unit 104 proceeds to S302 if a device position relevance candidate exists, and proceeds to the end if it does not exist.

  The device position relevance estimation unit 104 arbitrarily selects one device position relevance candidate from the device position relevance candidate table (S302). Here, the device position relevance candidates may be regarded as an array and may be selected in order from the top, may be selected in order from the end, or may be selected randomly. Here, the device position relevance estimation unit 104 selects the device position relevance candidate of serial number 1 in the device position relevance candidate table 207 of FIG.

  The device position relevance estimation unit 104 lists candidates related to the same device as the device position relevance candidates selected in S302 and sets them as a candidate group. In addition, the candidate group is deleted from the device position relevance candidate table (S303). For example, the device position relevance estimation unit 104 lists candidates of serial numbers 2, 3, 4, and 5 related to the same device as the device position relevance candidate of serial number 1 in the device position relevance candidate table 207 of FIG. The candidates of serial numbers 1, 2, 3, 4, and 5 are deleted from the device position relevance candidate table 207 as a candidate group.

  The statistical processing unit 107 performs a statistical process (removal of outliers, calculation of an average value) on the relative distances of the candidate groups enumerated in step S303 by the device position relevance estimation unit 104, and calculates the relative distance between the devices ( S304). For example, the statistical processing unit 107 first determines the device of serial number 4 having a relative distance of 500 meters in the device position relevance candidates of serial numbers 1, 2, 3, 4, and 5 in the device position relevance candidate table 207 of FIG. Position relevance candidates are removed as outliers. Next, an average value is calculated for the relative distances of the remaining serial number 1, 2, 3, and 5 device position relevance candidates, and the relative distance between PLATFORM001 and GATE001 is 100 meters.

  The statistical processing means 107 registers the relative distance between the devices calculated in S304 in the device position relationship table 208 as shown in FIG. 12 (S305). The process proceeds to S301.

  The device position relationship table 208 includes a serial number column 801, a device A column 802, a device B column 803, a station column 804, and a relative distance column 805.

  The serial number column 801 is a column representing a serial number.

  The device A column 802 is a column that represents one of two devices that have a positional relationship.

  The device B column 803 is a column that represents a device having a positional relationship with the device represented by the device A column 802 in the same row.

  The station column 804 is a column that represents a station in which the device represented by the device A column 802 in the same row and the device represented by the device B column 803 in the same row are installed.

  The relative distance column 805 is a column representing the relative distance between the device represented by the device A column 802 in the same row and the device represented by the device B column 803 in the same row.

  However, the configuration of the device location relevance table to which the present invention can be applied is not limited thereto, and any configuration may be used as long as information on the installation stations and relative distances of two devices can be obtained.

  Here, the statistical processing means 107 registers the relative distance between PLATFORM001 and GATE001 existing at the AAA station in the device position relationship table as 100 meters.

  By executing the above processing, the device position relevance can be estimated from the device position relevance candidates. As shown in the device location relationship table 208 in FIG. 11, unlike the device location relationship candidate table 207 in FIG. 10, the relative distance between the same devices is one.

  FIG. 13 is a flowchart illustrating an example of a processing flow of device position estimation. FIG. 13 shows details of S103 in FIG.

  First, the device position estimation unit 105 determines whether there is a device position relationship in the device position relationship table (S401). If the device position relationship exists, the process proceeds to S402, and if not, the process proceeds to the end.

  The device position estimation means 105 arbitrarily selects one device position relationship from the device position relationship table (S402). Here, the device position relevance may be regarded as an array and may be selected in order from the top, may be selected in order from the end, or may be selected randomly. Here, the device position estimation means 105 selects the device position relationship of serial number 1 in the device position relationship table 208 of FIG.

  The device position estimation means 105 determines whether the absolute position of one device is known and the absolute position of the other device is unknown for the device position relevance selected in S402 (S403). If the absolute position of one device is known and the absolute position of the other device is unknown, the device position estimation means 105 advances to S404, but the absolute position of both devices is unknown or the absolute position of both devices. If it is known, the process proceeds to S401. At this time, a device position table 209 as shown in FIG. 14 is referred to.

  The device position table 209 includes a serial number column 901, a device column 902, a station column 903, and a position column 904.

  The serial number column 901 is a column representing a serial number.

  The device column 902 is a column that represents an identifier that can uniquely identify a device.

  The station column 903 is a column representing a station where the device represented by the device column 902 in the same row is installed.

  The position column 904 is a column that represents the position where the device represented by the device column 902 in the same row is installed.

  However, the configuration of the device position table to which the present invention can be applied is not limited to these, and any configuration may be used as long as position information can be obtained in a uniquely identifiable device.

  Here, it is assumed that the absolute position of PLATFORM001 is known as latitude XXX and longitude YYY, and the absolute position of GATE001 is unknown.

  The device position estimation unit 105 uses the relative distance between devices and the drawing data of the station acquired from the drawing data management server 60 acquired by the information acquisition unit 102 to calculate the absolute position from the position of the device whose absolute position is known. It is determined whether the position of the unknown device can be determined (S404). The device position estimation unit 105 proceeds to S405 if the position can be confirmed, and proceeds to S406 if the position cannot be confirmed. For example, using the drawing PPP of the station AAA, when the ticket gate that is 100 meters relative to the PLATOFORM001 at the latitude XXX longitude YYY is only (SSS, TTT) on the drawing PPP, the device position estimation means 105 It is determined that it exists in (SSS, TTT) on the drawing PPP.

  The device position estimation unit 105 registers the absolute distance of the device determined in S404 in the device position relationship table 209 (S405). The process proceeds to S401. For example, when the GATE001 is installed at the station AAA and is located at (SSS, TTT) on the drawing PPP, the device position estimation means 105 registers it in the device position table. The process proceeds to S401.

  If the absolute position of the device cannot be determined in S404, the device position estimating unit 105 registers the device existence range whose absolute position is unknown in the device position table 209 (S406). The process proceeds to S401. For example, the device position estimation unit 105 registers that GATE002 exists within a radius of 200 m with the latitude XXX longitude YYY as the center.

  As described above, according to the present invention, the present invention can be applied to devices other than the surveillance camera, can be applied to devices that do not include an indicator, and does not actually reach the place where the devices exist. In this case, it is possible to estimate the positional relevance between devices using the difference in the occurrence time of event information acquired from two or more device management servers.

  It should be noted that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

DESCRIPTION OF SYMBOLS 10 Equipment position relevance estimation server 20 Operation management server 30 Ticket gate management server 40 Surveillance camera management server 50 Ticket vending machine management server 60 Drawing data management server 101 Communication means 102 Information acquisition means 103 Equipment position relevance candidate estimation means 104 Equipment position relation Device estimation unit 105 device position estimation unit 106 distance estimation unit 107 statistical processing unit 108 period execution unit 109 input unit 201 main control unit 202 communication unit 203 main storage unit 204 device position relevance candidate estimation program 205 device position relevance estimation program 206 Device position estimation program 207 Device position relevance candidate table 208 Device position relevance table 209 Device position table 210 Event table 301 Train 302 Home 303 Ticket gate 401 Results diagram 501 Entrance / exit record.

Claims (11)

A location management device connected via a network to a device management device that manages a plurality of devices,
A plurality of first event information including a first event that is an event that has occurred in a first device of the plurality of devices from the device management apparatus, and an occurrence time of the first event, A second event that has occurred in a second device that is a device different from the first device and has a relationship with the first event, and a time at which the second event occurred An information acquisition unit that acquires a plurality of second event information including:
For each of the first event or the second event, the first occurrence time, the second occurrence time, and the first event and the second event are related in common. A relative distance between the first device and the second device is calculated based on a moving speed of the object, and the calculated relative distance is associated with the first device and the second device. A position relevance candidate estimation unit that outputs a plurality of position relevance candidate information;
Of the position relevance candidate information output by the position relevance candidate estimation unit, either the position information of the first device or the position information of the second device included in the optimum position relevance candidate information. A position estimation unit that acquires from the device management apparatus and estimates a distance between the first device and the second device based on the acquired position information and the relative distance;
A location management device comprising: The relationship between the first event and the second event includes the time interval between the time at which the first event occurs and the time at which the second event occurs, and the order in which the events occur. And determined by
The position relevance candidate estimating unit identifies an event satisfying the generation order and the time interval from the first event or the second event, and the occurrence time of the identified event, and the first event Calculating a relative distance between the first device and the second device, based on the movement speed of the device and the second device in common.
The position management apparatus according to claim 1. By calculating an average value of the relative distances without including outliers for the relative distances included in the plurality of position relevance candidate information output by the position relevance candidate estimation unit, the optimum position relevance candidates A position relevance estimation unit for obtaining information;
The position estimation unit is configured to manage either the position information of the first device or the position information of the second device included in the optimum position relevance candidate information acquired by the position relevance estimation unit. Get from the device,
The location management apparatus according to claim 1 or 2, wherein The position estimation unit acquires drawing data indicating a position of the first device or the second device included in the device management apparatus, and is included in the acquired drawing data and the optimal position relevance candidate information And determining the absolute position of either the first device or the second device based on the position information of the first device or the position information of the second device. Determining the position of the other device of the first device or the second device based on the relative distance;
The position management apparatus according to claim 1, wherein The position estimation unit determines the existence range of the position of the other device when the position of the other device of the first device or the second device cannot be determined.
The position management apparatus according to claim 4. The position estimation unit determines whether the one other device exists within a range having a radius of the relative distance with the determined absolute position as a center, thereby determining the first device or the Determining whether the position of the other device of the second devices can be determined;
The position management apparatus according to claim 4 or 5, wherein The device is a device related to train operation in the railway field or a device related to aircraft operation in the aviation field that transports a common relationship between the first event and the second event. ,
The position management apparatus according to claim 1, wherein An operation management device that stores a track schedule in which a train arrives and departs, a train arrival and departure time at the platform, and a train arrival and departure event associated with each other, and a person transported by the train enters the home. A ticket gate management device that stores the ticket gates for entering, the entry / exit times of people passing through the ticket gates, and the entry / exit events in the ticket gates in association with each other, on the map of the home and the ticket gates A position management device connected via a network to a drawing data management device for storing map data indicating the position of
The first event information including the departure / arrival event that has occurred at the home from the operation management device, and the departure / arrival time, and the time at which the arrival / departure event has occurred from the ticket management device to the departure / arrival event. And the second event information including the entry / exit time and the entry / exit event having a relationship defined by the time interval between the time when the entry / exit event occurred and the order of occurrence of the event. An information acquisition unit to acquire;
For each of the departure / arrival events or the entry / exit event, an event satisfying the occurrence order and the time interval is identified, the departure / arrival time of the identified event, the entry / exit time, the departure / arrival event, and the entry / exit event The relative distance between the home and the ticket gate is calculated based on the movement speed of people who appear in common, and the calculated relative distance is associated with the home and the ticket gate A position relevance candidate estimation unit that outputs a plurality of position related candidate records;
For the relative distances included in the plurality of position relevance candidate records output by the position relevance candidate estimation unit, by calculating an average value of the relative distances without including outliers, an optimal position relevance candidate record A position relevance estimation unit for obtaining
Either the position on the map of the home or the position on the map of the ticket gate included in the optimum position relevance candidate record acquired by the position relevance estimation unit is acquired from the drawing data management apparatus. Determining whether or not the absolute position of either the home or the ticket gate can be determined based on the acquired position on the map of the home or the position of the ticket gate on the map. If it is determined, the position of the other device of the home or the ticket gate is determined based on the determined absolute position and the relative distance. A position estimation unit that determines the existence range of the position of the device;
A location management device comprising: A location management method performed by a location management device connected via a network to a device management device that manages a plurality of devices,
A plurality of first event information including a first event that is an event that has occurred in a first device of the plurality of devices from the device management apparatus, and an occurrence time of the first event, A second event that has occurred in a second device that is a device different from the first device and has a relationship with the first event, and a time at which the second event occurred An information acquisition step of acquiring a plurality of second event information including:
For each of the first event or the second event, the first occurrence time, the second occurrence time, and the first event and the second event are related in common. A relative distance between the first device and the second device is calculated based on a moving speed of the object, and the calculated relative distance is associated with the first device and the second device. A position relevance candidate estimation step for outputting a plurality of position relevance candidate information;
Of the position relevance candidate information output by the position relevance candidate estimation step, either the position information of the first device or the position information of the second device included in the optimum position relevance candidate information A position estimation step of estimating a distance between the first device and the second device based on the acquired position information and the relative distance;
A location management method comprising: The relationship between the first event and the second event includes the time interval between the time at which the first event occurs and the time at which the second event occurs, and the order in which the events occur. And determined by
In the position relevance candidate estimation step, an event that satisfies the generation order and the time interval is identified from the first event or the second event, and the occurrence time of the identified event, the first event A relative distance between the first device and the second device is calculated based on a movement speed of a common relationship between the device and the second device.
The location management method according to claim 9. In the position estimation step, drawing data indicating the position of the first device or the second device included in the device management apparatus is acquired, and the acquired drawing data and the optimal position relevance candidate information are obtained. Based on the position information of the first device or the position information of the second device included, the absolute position of either the first device or the second device is determined, and the determined absolute position And determining the position of the other device of the first device or the second device based on the relative distance.
The location management method according to claim 9 or 10, wherein:

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