JP6478869B2 - Management device, management method, and program - Google Patents

Description

  The present invention relates to a management device, a management method, and a program.

  In a general telecommunication network that provides LTE (Long Term Evolution) services, one MME (Mobility Management Entity) device accommodates a number of base station devices (eNodeB: evolved NodeB). Moreover, each base station apparatus accommodates many terminal devices (UE: User Equipment). The terminal device may be referred to as a user device.

From the above, each interface (S1-MME interface) that interconnects each base station apparatus and MME apparatus has an enormous number of data packets related to a large number of terminal apparatuses accommodated in each base station apparatus. Is flowing.
A data packet is generated when the state of each terminal device changes. The state change of each terminal device includes, for example, a state change due to attachment, a state change due to handover (handoff), or a state change due to transition to the idle state.
In the monitoring device, data packets of many terminal devices are observed in a mixed state.
Note that it is not possible to directly identify the terminal device from each data packet, or to specify the state of the terminal device directly from each data packet.

Patent Document 1 describes an example of a data packet monitoring method in an LTE network (see Patent Document 1). Patent Document 1 discloses a method of decrypting a part of a NAS (Non Access Stratum) message that flows encrypted in the S1-MME interface. In this method, an interface of S6a that interconnects an MME device and an HSS (Home Subscriber Server) device, and an interface of S3 that interconnects an MME device and an SGSN (Serving General packet radio service Support Node) device, respectively. The flowing data packet is captured by the monitoring device, and the key necessary for decrypting the encrypted NAS message is captured and decrypted at the S1-MME interface. As a result, it is possible to identify the UE from the NAS message by IMSI (International Mobile Subscriber Identity) and create a session record for each user.
Moreover, although the nonpatent literature 1 has prescribed | regulated the protocol of S1AP, there is no description about the structure which manages the state management of a terminal device and a base station apparatus (refer nonpatent literature 1).

JP 2012-134975 A

3GPP TS 36.413 V12 “S1 Application Protocol (S1AP)”

  In the conventional technology, there are cases where the grasp of the status of the moving means corresponding to the collective movement of the terminal devices is insufficient.

  The present invention has been made in consideration of such circumstances, and it is an object of the present invention to provide a management device, a management method, and a program capable of grasping the status of a moving unit corresponding to collective movement of terminal devices. .

  In order to solve the above-described problem, a management apparatus according to an aspect includes a handover number determination unit that determines the number of occurrences of handover for two or more terminal apparatuses performing collective movement with respect to one or more base station apparatuses. An abnormality determining unit that determines occurrence of an abnormality related to the number of handovers based on the number determined by the handover number determining unit.

  In the management apparatus according to an aspect, the abnormality determination unit determines the occurrence of an abnormality related to the number of handovers when at least the number determined by the handover number determination unit is less than a predetermined threshold. May be used.

  In the management apparatus according to an aspect, when the abnormality determination unit determines that an abnormality has occurred regarding the number of handovers, and if alarm information related to the base station apparatus is detected, the abnormality generation related to the base station apparatus A configuration may be used.

  In the management device according to an aspect, when the abnormality determination unit determines that the abnormality related to the number of handovers has occurred, if the alarm information related to the base station device is not detected, the abnormality related to the collective movement is generated. A configuration may be used.

  In the management device according to an aspect, a configuration may be used in which the crowd movement means includes a congestion degree detection unit that detects a predetermined congestion degree.

  In order to solve the above-described problem, in the management method according to one aspect, the handover number determination unit determines the number of occurrences of handover for two or more terminal devices performing collective movement with respect to one or more base station devices. Then, the abnormality determination unit determines occurrence of an abnormality related to the number of handovers based on the number determined by the handover number determination unit.

  In order to solve the above problem, in a program according to an aspect, a handover number determination unit determines the number of occurrences of handover for two or more terminal devices performing collective movement with respect to one or more base station devices. A program for causing a computer to execute a step and a step in which an abnormality determination unit determines the occurrence of an abnormality related to the number of handovers based on the number determined by the handover number determination unit.

  According to the present invention, it is possible to grasp the status of the moving means corresponding to the collective movement of the terminal devices.

1 is a diagram illustrating a schematic configuration of a communication system according to an embodiment of the present invention. It is a block diagram which shows the schematic structure of the management apparatus which concerns on one Embodiment of this invention. It is a flowchart which shows an example of the procedure of the process which performs abnormality determination regarding the train which concerns on one Embodiment (1st Embodiment) of this invention. It is a figure which shows an example of the condition where the number of handover becomes an outlier. It is a figure which shows an example of the condition where the number of handover does not become an outlier. It is a figure which shows an example of the alert table 1201. FIG. It is a flowchart which shows an example of the procedure of the process which detects the congestion degree of the train which concerns on one Embodiment (2nd Embodiment) of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
The following embodiments will be described using LTE as an example, but may be applied to networks other than LTE, for example.

(First embodiment)
[Communications system]
FIG. 1 is a diagram showing a schematic configuration of a communication system 1 according to an embodiment of the present invention.
In this embodiment, a case where the present invention is applied to an LTE network is shown.
The LTE network is composed of a wireless network called E-UTRAN (Evolved Universal Terrestrial Radio Network) and a core network called EPC (Evolved Packet Core).

E-UTRAN is composed of only base station devices (eNodeB) 12-1 to 12-3.
The EPC is composed of a plurality of device groups such as an MME device 21, an S-GW (Serving-Gateway) device 22, a P-GW (Packet Data Network) device 23, and an HSS device (not shown). .

The communication system 1 according to the present embodiment further includes terminal devices (UE) 11-1 to 11-3.
The communication system 1 according to the present embodiment further includes a network 24 such as a PDN or the Internet, a storage device 25, and a management device 26.
The communication system 1 according to the present embodiment further includes a base station position information storage device 31, an equipment alarm storage device 32, and a railway diagram information storage device 33.
Each of the terminal devices 11-1 to 11-3, the base station devices 12-1 to 12-3, the MME device 21, the S-GW device 22, or the P-GW device 23 is provided, for example. In FIG. 1, only a part is provided.

Each of the terminal devices 11-1 to 11-3 is a device such as a smartphone. Each of the terminal devices 11-1 to 11-3 is movable by being carried by a person (for example, a user).
Communication is performed wirelessly between the terminal apparatuses 11-1 to 11-3 and the base station apparatuses 12-1 to 12-3.
Signal communication is performed between two or more base station apparatuses 12-1 to 12-3.

Each base station apparatus 12-1 to 12-3 and the MME apparatus 21 communicate via the lines 101 to 103 of the S1-MME interface. Each base station apparatus 12-1 to 12-3 transmits, for example, information on the state of the terminal apparatuses 11-1 to 11-3 to the MME 21 via the lines 101 to 103. The lines 101 to 103 are control planes (Control-planes).
Each base station apparatus 12-1 to 12-3 and the S-GW apparatus 22 communicate via the interface lines 111 to 113. The lines 111 to 113 are user planes (User-planes).
The MME device 21 and the S-GW device 22 communicate via the line 104 of the interface of S11. The S-GW apparatus 22 transmits, for example, information regarding the states of the terminal apparatuses 11-1 to 11-3 to the MME apparatus 21 via the line 104. The line 104 is a control plane.

The S-GW apparatus 22 and the P-GW apparatus 23 communicate with each other via the lines 121 and 122 of the S5 / S8 interface. The line 121 is a control plane (Control-plane). The line 122 is a user plane (User-plane).
The P-GW apparatus 23 communicates with the network 24 via the interface line 131. The line 131 is a user plane (User-plane).

The storage device 25 stores information related to the states of the terminal devices 11-1 to 11-3.
In the present embodiment, information received by the MME device 21 from each of the base station devices 12-1 to 12-3 or the S-GW device 22 or information obtained using the information is stored in the storage device 25. .
Here, the information stored in the storage device 25 includes, for example, information received by the MME device 21 from each of the base station devices 12-1 to 12-3, and information received by the MME device 21 from the S-GW device 22. May be based on any one of them, or both.
In general, based on signals flowing through the lines 101 to 103 of the S1-MME interface, information on the positions of the terminal apparatuses 11-1 to 11-3 is obtained in units for each base station apparatus 12-1 to 12-3. And stored (recorded) in the storage device 25.

The base station position information storage device 31 stores information on the positions of the base station devices 12-1 to 12-3. For example, the information may be set in advance or may be received from each of the base station apparatuses 12-1 to 12-3.
The equipment alarm storage device 32 stores equipment alarm information. The information may be received from, for example, one or more monitoring devices (not shown) that monitor the base station devices 12-1 to 12-3, or may be received by each of the base station devices 12-1 to 12-3. You may receive from the monitoring part etc. with which it was equipped. The equipment alarm information is, for example, information for notifying that an abnormality such as a failure has occurred in the equipment (here, each of the base station apparatuses 12-1 to 12-3).
The railway diagram information storage device 33 stores information on the railway diagram. The information may be preset, for example, or may be received from a railway company device (not shown). The railroad schedule information may include, for example, railroad (so-called train) timetable information or delay information thereof.

The management device 26 performs processing for managing the states of the terminal devices 11-1 to 11-3 based on the information stored in the storage device 25. In this embodiment, the process which acquires the information of the collective movement of the terminal devices 11-1 to 11-3 is performed as a process which manages the states of the terminal devices 11-1 to 11-3.
Also, the management device 26 receives and acquires information on the positions of the base station devices 12-1 to 12-3 from the base station location information storage device 31, and receives facility alarm information from the facility alarm storage device 32. And acquiring the information of the railway diagram from the railway diagram information storage device 33.
For example, the management device 26 may be operated and operated by a person (such as an administrator), or may be operated (automatically) according to a predetermined rule.

Here, in general, in the communication system 1, all equipment in the E-UTRAN and the EPC is monitored for equipment alarms. In this embodiment, the base station apparatuses 12-1 to 12-3 Monitoring will be described as an example. Usually, the base station apparatuses 12-1 to 12-3 have the largest number of facilities among the monitoring targets, and the number of facility alarms is also large.
In the present embodiment, the management device 26 presents one or more of equipment alarm information, location information of each of the base station devices 12-1 to 12-3, and railway diagram information to a person (such as an administrator). can do. For example, the management device 26 can display information such as the positions of the base station devices 12-1 to 12-3 where the facility alarm is generated on the map displayed on the screen of the management device 26. With such information, it is possible to perform various types of analysis or determination by a person (such as an administrator).

[Management device]
FIG. 2 is a block diagram showing a schematic configuration of the management apparatus 26 according to an embodiment of the present invention.
In the present embodiment, the management device 26 is provided in the communication system 1 as an independent device. Alternatively, the function of the management device 26 may be provided in any device (for example, the MME device 21 or another device) in the communication system 1. Alternatively, the function of the management device 26 may be distributed and provided in two or more devices in the communication system 1.

The management device 26 includes an input unit 211, an output unit 212, a storage unit 213, a state detection unit 214, and a control unit 215.
The control unit 215 includes a collective movement detection unit 231, a moving means detection unit 232, a handover number determination unit 233, an abnormality determination unit 234, and a congestion level detection unit 235.

The input unit 211 inputs information. For example, the input unit 211 may input information from another device, or may have an operation unit, and may receive and input information on operation of the operation unit performed by a person.
The output unit 212 outputs information. For example, the output unit 212 may output information to another device. For example, the output unit 212 may display and output information on a screen of a display device such as a display device.
The storage unit 213 stores information.

The state detection unit 214 detects the state of the terminal devices 11-1 to 11-3 (may be estimated detection). In the present embodiment, the state detection unit 214 performs signaling analysis of one or both of S1 and S11 based on information stored in the storage device 25 (the information input by the input unit 211). The states of the terminal devices 11-1 to 11-3 are detected.
As a specific example, the state detection unit 214 monitors and captures data packets that flow through one or both of the S1-MME interface and the S11 interface, and maps the control signal in units of the terminal devices 11-1 to 11-3. Then, by analyzing the sequence of the control signal, the state of each of the terminal devices 11-1 to 11-3 is detected. The state for each of the terminal devices 11-1 to 11-3 may include, for example, position information for each of the terminal devices 11-1 to 11-3, information about movement, and the like. Here, as the analysis, for example, an analysis of one or both of the S1AP protocol and the GTPv2 protocol may be used. Further, when the identification is not intended to identify the terminal devices 11-1 to 11-3, the terminal devices 11-1 to 11-11 are not a unit of IMSI but a unit of TMSI (Temporary Mobile Subscriber Identity). -3 states may be detected and managed.

The collective movement detection unit 231 detects that the plurality of terminal devices 11-1 to 11-3 move together (collective movement), for example, by performing a clustering process based on the detection result by the state detection unit 214. To detect.
The movement means detection unit 232 detects the movement means regarding the group movement detected by the group movement detection unit 231.
The handover number determination unit 233 determines the number of handovers for the group movement detected by the group movement detection unit 231.
The abnormality determination unit 234 determines abnormality based on the result of determination by the handover number determination unit 233. Moreover, the abnormality determination part 234 determines abnormality based on the information of equipment alarms.
The congestion level detection unit 235 detects the congestion level with respect to the moving unit detected by the moving unit detection unit 232 (details of the congestion level will be described in the second embodiment).

Here, the collective movement detection unit 231 may detect collective movement using an arbitrary method. As an example, the collective movement detection unit 231 detects the positions of the plurality of terminal devices 11-1 to 11-3 in time series, and the time existing in the same region (for example, a partial region in a lattice shape). By classifying two or more long terminal devices 11-1 to 11-3 into the same cluster, it is detected that two or more terminal devices 11-1 to 11-3 stored in the same cluster are performing collective movement. .
In this example, the case where collective movement is detected for an arbitrary number of terminal devices 11-1 to 11-3 of 2 or more is shown, but as another configuration example, a predetermined number of 2 or more (for example, 2, 3) 4 or the like) may be set, and collective movement may be detected for the number of terminal apparatuses 11-1 to 11-3.
Moreover, as an example, the position information of each of the terminal devices 11-1 to 11-3 may be detected constantly (for example, at a regular timing), or as another configuration example, a predetermined event has occurred. Information on the positions of the terminal apparatuses 11-1 to 11-3 may be detected at the timing. As the event, for example, a handover between two base station apparatuses 12-1 to 12-3 may be used, and the event is obtained at the timing when the handover of the terminal apparatuses 11-1 to 11-3 occurs. Information on the positions of the terminal devices 11-1 to 11-3 may be used. This position may be determined based on, for example, the positions of the two base station apparatuses 12-1 to 12-3 related to the handover. As an example, the two base station apparatuses 12-1 to 12-12 related to the handover The position of the midpoint of the position -3 may be used.

  In addition, as a method of determining the position of the cluster in which two or more terminal devices 11-1 to 11-3 are stored, any method may be used, for example, two or more stored in the same cluster. Even if a method of setting the average (for example, center of gravity) position of the positions of the terminal devices 11-1 to 11-3 (for example, those predicted to be group moving) as the position of the cluster is used. Well, or one representative terminal device 11 among two or more terminal devices 11-1 to 11-3 (for example, those predicted to perform collective movement) stored in the same cluster. A method of determining −1 to 11-3 and setting the positions of the terminal devices 11-1 to 11-3 as the positions of the cluster may be used.

Moreover, the movement means detection part 232 may detect a movement means regarding group movement using arbitrary methods.
Here, as an example of the moving means for group movement, there is a train. That is, the terminal devices 11-1 to 11-3 carried by a plurality of people who travel on the same train may move together.
In addition, as a moving means for group movement, there is a bus as another example. That is, the terminal devices 11-1 to 11-3 carried by a plurality of people who get on the same bus and move may move together.
Moreover, as a moving means of collective movement, for example, other means may be used, and public transportation may be used as a specific example.

  For example, the capacity or moving speed may be different for each moving means such as a train or a bus. Therefore, as an example, in the management device 26, a threshold value such as a capacity or a moving speed is set for each moving means, and the moving means detecting unit 232 determines whether the capacity or the moving speed is a predetermined condition relating to the threshold value. A configuration may be used in which a group movement (for example, a cluster) satisfying (for example, a threshold value or less or less than a threshold value) is detected as a group movement by a moving unit corresponding to the condition.

Further, for example, the moving means detection unit 232 may detect the moving means so as to be identifiable with respect to other moving means without specifying the moving means, or may specify and detect the moving means. In an example in which the moving means is specified and detected, the moving means is detected by determining one specific train or bus. In an example in which the moving means is not specified and is detected so as to be identifiable with respect to other moving means, a specific one train or bus is not determined, but it is detected that they are the same moving means.
In addition, the movement means detection unit 232 may specify a train or a bus using information such as a timetable of a train or a bus or a delay thereof, for example.

[Specific example of abnormality determination processing for group movement]
A specific example of the abnormality determination process regarding group movement performed by the management device 26 will be described.
The state detection unit 214 detects and manages the state of each of the terminal devices 11-1 to 11-3 based on the monitoring result of the data packet.
And in this embodiment, the state detection part 214 detects the state of each base station apparatus 12-1 to 12-3 based on the state for each terminal device 11-1 to 11-3, and the said state Manage. For example, the state of each of the base station devices 12-1 to 12-3 is the data of a list in which the state of each of the terminal devices 11-1 to 11-3 is arranged in time series. It is obtained by mapping every three.

FIG. 3 is a flowchart showing an example of a processing procedure for determining an abnormality relating to a train according to an embodiment (first embodiment) of the present invention.
In this embodiment, the case where the process shown by FIG. 3 is performed periodically is shown. This period may be arbitrary.
In the management device 26, the processing of step S1 to step S4 is periodically performed.

<Step S1>
First, the number-of-handover determination unit 233 determines the number of handovers related to the terminal devices 11-1 to 11-3 for collective movement that occurred in the most recent predetermined time (in this embodiment, n seconds, which is a value larger than 0) ( Number of times). Then, the abnormality determination unit 234 determines whether or not the number is an outlier. If it is determined that the number is not an outlier, the state is normal and the processing of this flow ends.
Here, in this embodiment, group movement represents movement on the same train.
In addition, the number of handovers represents the number of handovers related to a predetermined one base station apparatus (in this embodiment, one of the plurality of base station apparatuses 12-1 to 12-3). The number is, for example, a handover that makes a transition from the predetermined one base station apparatus to another base station apparatus or a handover that makes a transition from another base station apparatus to the predetermined one base station apparatus. Either one or both of the numbers may be used.
In addition, whether or not the number of handovers is an outlier is determined, for example, when the number of handovers is not an outlier when the predetermined condition regarding one or more thresholds is satisfied, and when the predetermined condition is not satisfied A determination that it is an outlier is used.

<Step S2>
If it is determined that the number of handovers detected by the handover number determination unit 233 is an outlier, the abnormality determination unit 234 determines whether an equipment alarm has occurred during a time period when the number of handovers was an outlier. Determine whether or not.
Here, various time zones may be set as the time zone, and as an example, a time zone having a preset time width is used with reference to the time when the number of handovers is an outlier. May be.
In addition, the determination of whether or not an equipment alarm has occurred is, for example, when there is equipment alarm information that occurred at the time included in the applicable time zone, and when there is no equipment alarm, A determination that an equipment alarm has not occurred may be used.

<Step S3>
In the control unit 215, when the abnormality determination unit 234 determines that a facility alarm has occurred during a time zone in which the number of handovers is an outlier, a process corresponding to a failure that has occurred in the corresponding base station apparatus (Base station failure handling processing) is performed. Then, the process of this flow ends.
Here, as the base station failure handling process, an arbitrary process may be used, for example, a process of displaying and outputting information on a predetermined alarm on the screen of the management apparatus 26, or another predetermined process from the management apparatus 26. For example, a process of outputting predetermined alarm information to the apparatus may be used.

<Step S4>
In the control unit 215, when the abnormality determination unit 234 determines that the equipment alarm has not occurred in the time zone in which the number of handovers is an outlier, in the present embodiment, in the present embodiment, a process corresponding to a railway accident (railway Accident handling). Then, the process of this flow ends.
Here, an arbitrary process may be used as the railway accident process, for example, a process of displaying and outputting information on a predetermined alarm on the screen of the management apparatus 26, or from the management apparatus 26 to another predetermined apparatus. A process for outputting information on a predetermined alarm may be used.
In this embodiment, when the number of handovers is an outlier and not a failure of the base station apparatus, it is estimated that a railway accident has occurred.

With reference to FIG. 4 and FIG. 5, the situation where the number of handovers does not become an outlier will be described in detail.
FIG. 4 is a diagram illustrating an example of a situation where the number of handovers is an outlier.
In the graph shown in FIG. 4, the horizontal axis represents time, and the vertical axis represents the number of handovers at each time. In the graph, a mark 1001 indicating the number of handovers at each time (in FIG. 4, only one mark is assigned a symbol), a predetermined upper threshold 1011 regarding the number of handovers, and the number of handovers A predetermined lower threshold 1012 for is shown.

In the example of FIG. 4, the number of handovers is zero (or substantially zero) in a certain period (failure period T1). In the present embodiment, during the failure period T1, the number of handovers has decreased because a failure has occurred in the corresponding base station device (handover has disappeared), or the number of handovers has decreased because the corresponding train has stopped. (Handover disappeared).
For example, in the vicinity of the start of the failure period T1, the influence on the terminal devices 11-1 to 11-3 when the failure occurs can be detected. The effect is, for example, a sharp decrease in the number of handovers.
In the failure period T1, the influence on the terminal devices 11-1 to 11-3 during the occurrence of the failure can be detected. As an example, the influence is that the number of handovers is below the lower threshold 1012 (below the lower threshold 1012).
Also, in the vicinity of the end of the failure period T1, the influence on the terminal devices 11-1 to 11-3 at the time of recovery from the failure can be detected. The influence is, for example, that the number of handovers exceeds the upper threshold 1011 (exceeds the upper threshold 1011).

Here, as the upper threshold 1011, for example, regarding the number of handovers, (average value + α × standard deviation) in a predetermined period (for example, 10 minutes) may be used, and as the lower threshold 1012, For example, regarding the number of handovers, (average value−β × standard deviation) in the predetermined period may be used. As the predetermined period, for example, a period of a sliding window at a predetermined constant time may be provided and the period may be used. Arbitrary values may be used as the coefficient α and the coefficient β, respectively. For example, the same value may be used, or different values may be used.
Thus, in the present embodiment, occurrence of a value (abnormal value) different from the normal value is determined for a predetermined index (in this embodiment, the number of handovers). There are various algorithms for the determination. In this embodiment, an algorithm using a moving average and a moving standard deviation is used. Then, regarding a predetermined index (in this embodiment, the number of handovers), an upper threshold 1011 and a lower threshold 1012 are provided, and it is determined that the index is abnormal when the index exceeds the upper threshold 1011. When the threshold value is less than 1012, it is determined that there is an abnormality, and in other cases, it is determined that there is no abnormality (normal).

FIG. 5 is a diagram illustrating an example of a situation where the number of handovers does not become an outlier.
In the graph shown in FIG. 5, the horizontal axis and the vertical axis represent the same values as those shown in FIG. In the graph, a mark 1101 indicating the number of handovers at each time (only one mark is attached in FIG. 5), a predetermined upper threshold 1111 regarding the number of handovers, and the number of handovers A predetermined lower threshold 1112 for is shown.
In the example of FIG. 5, the number of handovers always exists in a range exceeding the lower threshold 1112 and less than the upper threshold 1111. For this reason, it is determined that it is not abnormal (normal).

  Here, in the management device 26, the control unit 215 may specify, for example, the users (terminal devices 11-1 to 11-3) affected by the accident in the railway accident processing. You may extract the user (terminal device 11-1 to 11-3) determined that he / she is carrying out collective movement on the corresponding train immediately before the occurrence of. Further, in the management device 26, the control unit 215 may identify a train that is waiting for driving, for example, by matching a current train operation state with a train diagram in the railway accident processing.

Moreover, in the management apparatus 26, when an equipment failure occurs, for example, information related to an alarm may be stored in the storage unit 213 or the like.
The output content of the alarm information may vary depending on, for example, the monitoring system (or the monitoring device). In this embodiment, at least each record holds the time, the target equipment name, and the alert content.
FIG. 6 is a diagram illustrating an example of the alert table 1201.
The management device 26 stores the alert table 1201 in the storage unit 213 or the like. The alert table 1201 includes information such as serial numbers (No.), date and time (year / month / day and time), equipment type (equipment name), equipment object ID (identification information (ID) of the object of the equipment), alert contents, and the like. including. As the alert content, for example, “communication disconnection” or “disk failure” may be used.
As another configuration example, in the management device 26, for example, information on equipment failure may be acquired based on an LTE control signal instead of alarm information.

  Here, in the present embodiment, the number of handovers is detected for each of the base station devices 12-1 to 12-3 and the subsequent processing (processing shown in FIG. 3) is performed. However, as another configuration example The number of handovers may be detected for each of two or more predetermined numbers of base station apparatuses 12-1 to 12-3, and the subsequent processing (processing shown in FIG. 3) may be performed.

[Specific Example of Processing Performed in Management Device]
In the present embodiment, the management device 26 performs the following processing.
The collective movement detection unit 231 detects collective movement regarding the terminal devices 11-1 to 11-3.
The movement means detection unit 232 detects movement means regarding group movement.
The handover number determination unit 233 determines the number of handovers for the moving means.
The abnormality determination unit 234 determines the occurrence of an abnormality based on the number of handovers and the equipment alarm.

In the management device 26, information such as the results obtained by the collective movement detection unit 231, the movement means detection unit 232, the handover number determination unit 233, or the abnormality determination unit 234 is output by the output unit 212. May be. As an example, such information may be displayed and output on the screen by the output unit 212. For example, when such information is presented to a person in charge of operation such as a network, various types of analysis and determination can be performed.
In the management device 26, information such as the results obtained by the collective movement detection unit 231, the movement means detection unit 232, the handover number determination unit 233, or the abnormality determination unit 234 is stored in the storage unit 213. May be.

As described above, in the communication system 1 according to the present embodiment, the management device 26 determines the occurrence of an abnormality based on the handover information of the terminal devices 11-1 to 11-3 that are performing collective movement. For example, in the management device 26, it is determined that an abnormality has occurred when handovers of a large number of terminal devices 11-1 to 11-3 that are collectively moving (events in which handover occurs) are lost together. .
Therefore, in the communication system 1 according to the present embodiment, the management device 26 can manage the status of the moving means corresponding to the collective movement of two or more terminal devices 11-1 to 11-3.
As described above, in the communication system 1 according to the present embodiment, the management device 26 can grasp the status of the moving means corresponding to the collective movement of the terminal devices 11-1 to 11-3.

  Further, in the communication system 1 according to the present embodiment, the management device 26 determines the occurrence of an abnormality based on the equipment alarm information. For example, when the management apparatus 26 determines that an abnormality has occurred based on the handover information, if an equipment alarm has occurred, an abnormality related to the equipment alarm (in this embodiment, the base station apparatus 12-1). ~ 12-3 abnormality) is determined to have occurred, and in other cases, it is determined that another abnormality (in this embodiment, an abnormality of the moving means) has occurred.

Further, in the communication system 1 according to the present embodiment, the management device 26 detects a moving means for collective movement.
Therefore, in the communication system 1 according to the present embodiment, the management device 26 can manage the moving means regarding the collective movement of the two or more terminal devices 11-1 to 11-3.

In the communication system 1 according to the present embodiment, the management device 26 can monitor, for example, the collective movement of the terminal devices 11-1 to 11-3 accurately and accurately. It can be used to provide high-quality services.
In the communication system 1 according to the present embodiment, in the management device 26, for example, the positions of the terminal devices 11-1 to 11-3, the trajectory of movement or collective movement, and the terminal devices 11-1 to 11-11. -3, or the state of abnormality or the like is managed in association with each other (for example, storage), so that the position, movement or collective movement of each terminal apparatus 11-1 to 11-3, and each terminal apparatus 11- It is possible to manage the interrelationship with the communication behavior of 1-11-3 or the abnormal situation.
Further, in the communication system 1 according to the present embodiment, in the management device 26, for example, the position, movement or collective movement of each terminal device 11-1 to 11-3, and each terminal device 11-1 to 11-3. It is possible to predict the network load by managing the interrelationship with the communication behavior or the abnormal situation.

Furthermore, a specific example of the effect according to the present embodiment will be shown.
The management device 26 can detect the occurrence of a railway accident by analyzing a combination of control signals and facility alarms (for example, in parallel) in an LTE network.
The management device 26 can identify a train that has forgotten driving due to a railway accident by analyzing (for example, in parallel) control signals, facility alarms, and railway diagram information in the LTE network. .
The management device 26 can identify the users (terminal devices 11-1 to 11-3) affected by the railway accident based on the control signal and the facility alarm in the LTE network.
As an example, in the management device 26, there is no abnormality in the LTE network, and the handover event of the terminal devices 11-1 to 11-3 that are moving collectively using a moving means (for example, a train) disappears. In response to detecting an event to be performed, it can be detected (for example, presumably) that a suspension or delay due to an accident of the moving means has occurred.

  In the communication system 1 according to the present embodiment, for example, an accident of the moving means can be performed by analyzing the LTE signaling with high real-time characteristics without using high-real-time interaction with the moving means engine (for example, a railway company). Can be detected. Further, in the communication system 1, for example, it is possible to identify the terminal devices 11-1 to 11-3 that are affected by the accident of the moving means (for example, the movement is hindered). Further, in the communication system 1, for example, the position of the terminal devices 11-1 to 11-3 affected by the accident of the moving means or the moving means can be displayed on the map and visualized. It is possible to intuitively understand the scope of the influence of the accident of the means by a person.

  Here, as an example, since railway companies generally manage passengers with ticket gates, it is not easy to identify affected users when a railway accident occurs. On the other hand, in the present embodiment, for example, when an LTE network is deployed nationwide, since a large number of MME devices 21 are naturally installed, the terminal has a finer granularity depending on the communication carrier than a railway company. It is possible to manage the position information of the devices 11-1 to 11-3.

(Second Embodiment)
Hereinafter, configurations and operations different from those of the first embodiment will be described. For convenience of explanation, the same reference numerals (symbols attached to the drawings) as those in the first embodiment are used.
In the present embodiment, in the management device 26, the congestion degree detection unit 235 detects the congestion degree (estimated detection in the present embodiment) regarding the group movement.
Here, although the present embodiment shows a case where a train is used as the moving means, the same applies to other moving means.

[Specific example of congestion detection processing]
FIG. 7 is a flowchart illustrating an example of a procedure of processing for detecting the degree of congestion of a train according to an embodiment (second embodiment) of the present invention.
In this embodiment, the case where the process which detects the congestion degree of the train shown in FIG. 7 is performed periodically is shown. This period may be arbitrary.
In the management device 26, the congestion degree detection unit 235 periodically performs the processes of Steps S11 to S14.

<Step S11>
First, the congestion degree detection unit 235 determines a moving unit in which the terminal apparatuses 11-1 to 11-3 are performing collective movement based on the result detected by the moving unit detection unit 232. In the present embodiment, it is assumed that the moving means is a train. In this embodiment, the collective movement and moving means of the LTE terminal devices 11-1 to 11-3 are detected based on the LTE control signal.

<Step S12>
The congestion level detection unit 235 detects (for example, calculates) the number of the plurality of terminal devices 11-1 to 11-3 that are collectively moving on the same train in units of individual trains (an example of moving means). To do.

<Step S13>
The congestion degree detection unit 235 corrects the detection results of the numbers of the plurality of terminal devices 11-1 to 11-3 that are collectively moving on the same train.
In the present embodiment, the congestion degree detection unit 235 detects a value calculated based on the LTE control signal as the number of terminal apparatuses 11-1 to 11-3 that are collectively moving on the same train. . For this reason, the said value does not include the contribution of the terminal device using other than LTE, and is different from the actual number of passengers (the actual number of terminal devices). Therefore, the congestion degree detection unit 235 performs correction by multiplying the detection results of the numbers of the plurality of terminal devices 11-1 to 11-3 that are collectively moving on the same train by a predetermined correction coefficient, and after the correction The value of is detected.

Here, as the predetermined correction coefficient, for example, a carrier-specific share rate for a carrier such as LTE, an LTE penetration rate, or a value in consideration of characteristics for each region may be used. As an example, if an estimate is made based on the LTE penetration rate announced by the Ministry of Internal Affairs and Communications in 2014, the total number of terminal devices can be estimated by multiplying the number of LTE users (the number of LTE terminal devices) by six. The number of passengers can be obtained.
In this embodiment, the number of terminal devices and the number of people carrying the terminal devices are the same. However, as another configuration example, the number of terminal devices is different and the correction is performed. You may go.

<Step S14>
The congestion degree detection unit 235 calculates the congestion degree of the train based on the result (correction value) obtained by correcting the detection results of the number of the plurality of terminal devices 11-1 to 11-3 that are collectively moving on the same train. Detection (in this embodiment, estimation) is performed.
Here, an arbitrarily defined value may be used as the degree of congestion. As an example, when the number of vehicles on a train and the number of passengers on each vehicle are determined, the number of passengers on the entire train is determined. Then, the boarding rate (= the detected actual number of passengers / the number of passengers) may be detected as the degree of congestion.

[Specific Example of Processing Performed in Management Device]
In the present embodiment, the management device 26 performs the following processing.
The congestion level detection unit 235 detects the congestion level of the moving means (in this embodiment, a train).
In the management device 26, information such as a result obtained by the congestion degree detection unit 235 may be output by the output unit 212. As an example, such information may be displayed and output on the screen by the output unit 212. For example, when such information is presented to a person in charge of operation such as a network, various types of analysis and determination can be performed.
In the management device 26, information such as a result obtained by the congestion degree detection unit 235 may be stored in the storage unit 213.

As described above, in the communication system 1 according to the present embodiment, the management device 26 detects the degree of congestion of moving means such as a train.
Therefore, in the communication system 1 according to the present embodiment, the management device 26 can manage the degree of congestion of the moving means (congestion degree of collective movement).
In the communication system 1 according to the present embodiment, for example, the management device 26 can monitor the degree of congestion of the moving means, which can be used for providing high-quality services.
In the congestion level detection process, for example, each terminal device 11-1 to 11-3 (each individual) may not be specified, and is identified with another terminal device 11-1 to 11-3. It only has to be done.

(Summary of the above embodiments)
As one configuration example, with regard to one or more base station apparatuses 12-1 to 12-3, handover number determination for determining the number of occurrences of handover for two or more terminal apparatuses 11-1 to 11-3 performing collective movement The management apparatus 26 includes a unit 233 and an abnormality determination unit 234 that determines occurrence of an abnormality related to the number of handovers based on the number determined by the handover number determination unit 233.
As an example of the configuration, in the management device 26, the abnormality determination unit 234 determines the occurrence of an abnormality related to the number of handovers at least when the number determined by the handover number determination unit 233 is less than a predetermined threshold.
As an example of the configuration, in the management device 26, when the abnormality determination unit 234 determines occurrence of an abnormality related to the number of handovers, if alarm information regarding the base station devices 12-1 to 12-3 is detected, Occurrence of an abnormality related to the station devices 12-1 to 12-3 is determined.
As an example of the configuration, in the management device 26, when the abnormality determination unit 234 determines the occurrence of abnormality related to the number of handovers, when alarm information regarding the base station devices 12-1 to 12-3 is not detected, Determine the occurrence of anomalies related to group movement.
As an example of the configuration, the management device 26 includes a congestion degree detection unit 235 that detects a predetermined degree of congestion with respect to the moving means for group movement.
As an example of the configuration, the handover number determination unit 233 generates a handover for two or more terminal devices 11-1 to 11-3 performing collective movement with respect to one or more base station devices 12-1 to 12-3. This is a management method (a method performed in the management device 26) in which the number is determined, and the abnormality determination unit 234 determines occurrence of an abnormality related to the number of handovers based on the number determined by the handover number determination unit 233.
As an example of the configuration, the handover number determination unit 233 generates a handover for two or more terminal devices 11-1 to 11-3 performing collective movement with respect to one or more base station devices 12-1 to 12-3. A program (management) for causing a computer to execute a step of determining a number and a step of determining whether an abnormality has occurred regarding the number of handovers based on the number determined by the handover number determining unit 233. Program executed in the device 26).

[Summary of the above embodiments]
As mentioned above, although embodiment of this invention was explained in full detail with reference to drawings, the concrete structure is not restricted to this embodiment, The design change etc. of the range which does not deviate from the summary of this invention are included.

Further, a program for realizing the function of each device (for example, the management device 26) according to the above-described embodiment is recorded on a computer-readable recording medium, and the program recorded on the recording medium is recorded on the computer. Processing may be performed by causing the system to read and execute.
The “computer system” herein may include hardware such as an operating system (OS) and peripheral devices.
The “computer-readable recording medium” means a flexible disk, a magneto-optical disk, a ROM (Read Only Memory), a writable nonvolatile memory such as a flash memory, a portable medium such as a DVD (Digital Versatile Disk), A storage device such as a hard disk built in a computer system.
Further, the “computer-readable recording medium” refers to a volatile memory (for example, DRAM (DRAM) inside a computer system that becomes a server or a client when a program is transmitted through a network such as the Internet or a communication line such as a telephone line. Dynamic Random Access Memory)) that holds a program for a certain period of time is also included.
The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.
Further, the above program may be for realizing a part of the functions described above. Further, the above program may be a so-called difference file (difference program) that can realize the above-described functions in combination with a program already recorded in the computer system.

DESCRIPTION OF SYMBOLS 1 ... Communication system, 11-1 to 11-3 ... Terminal device, 12-1 to 12-3 ... Base station device, 21 ... MME device, 22 ... S-GW device, 23 ... P-GW device, 24 ... Network , 25 ... storage device, 26 ... management device, 31 ... base station position information storage device, 32 ... equipment alarm storage device, 33 ... railway diagram information storage device, 101-104, 111-113, 121-122, 131 ... line , 211 ... input unit, 212 ... output unit, 213 ... storage unit, 214 ... state detection unit, 215 ... control unit, 231 ... collective movement detection unit, 232 ... moving means detection unit, 233 ... handover number determination unit, 234 ... Abnormality determination unit, 235 ... congestion degree detection unit, 1001, 1101 ... mark, 1011, 1111 ... upper limit threshold, 1012, 1112 ... lower limit threshold, 1201 ... alert table

Claims (7)

A handover number determination unit that determines the number of occurrences of handover for two or more terminal devices that are collectively moving with respect to one or more base station devices;
Based on the number determined by the handover number determination unit, an abnormality determination unit that determines occurrence of an abnormality related to the number of handovers;
A management device comprising: The abnormality determination unit determines occurrence of an abnormality related to the number of handovers, at least when the number determined by the handover number determination unit is less than a predetermined threshold;
The management apparatus according to claim 1. The abnormality determining unit determines the occurrence of an abnormality relating to the base station device when alarm information relating to the base station device is detected when the occurrence of an abnormality relating to the number of handovers is determined.
The management apparatus of any one of Claim 1 or Claim 2. The abnormality determining unit determines the occurrence of an abnormality related to the collective movement if the alarm information related to the base station device is not detected when the occurrence of an abnormality related to the number of handovers is determined.
The management apparatus according to any one of claims 1 to 3. Concerning the movement means of the collective movement, a congestion level detection unit for detecting a predetermined congestion level,
The management apparatus of any one of Claims 1-4. The handover number determination unit determines the number of occurrences of handover for two or more terminal devices performing collective movement with respect to one or more base station devices,
An abnormality determination unit determines occurrence of an abnormality related to the number of handovers based on the number determined by the handover number determination unit.
Management method. A step of determining the number of handover occurrences for two or more terminal devices performing collective movement with respect to one or more base station devices;
An abnormality determining unit determining the occurrence of an abnormality related to the number of handovers based on the number determined by the handover number determining unit;
A program that causes a computer to execute.

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