JP2012244266A - Abnormality detection device, server, system and method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an abnormality detection device, server, system and method capable of suppressing data volume to tally and easily identifying which unit has a defect, a fixed station or a receiver unit.SOLUTION: An abnormality detection device 10, which detects whether an abnormality exists or not in a receiver unit 12 that receives radio waves from a fixed station 3, is equipped with a first arithmetic part 11 to detect whether any abnormality exists in the receiver unit 12 or not by comparing a reception state when the receiver unit 12 exists in a prescribed distance from the fixed station 3 with statistical data tallied up the reception state of each receiver unit 12 in the prescribed distance from the fixed station 3.

Description

  The present invention relates to an abnormality detection device, server, system, and method.

  A DSRC (Dedicated Short Range Communications) vehicle-mounted device that prevents communication errors has been developed (see, for example, Patent Document 1).

JP 2001-308740 A

  As in DSRC, in wireless communication from a business operator to a receiving device via fixed stations scattered in various places, communication may not be performed normally due to some trouble occurring in the communication device. Here, as a means for specifying which of the fixed station and the receiving apparatus is defective, there is a method of totaling and analyzing information on reception states provided from the receiving apparatus. However, if the fixed stations are scattered in various places, the data to be collected becomes enormous, and the receiving apparatus on the user side has a problem in either the fixed station or the receiving apparatus when communication is not normally performed. It is difficult to identify

  The present invention has been made in view of such a problem, while suppressing an amount of data to be aggregated, an abnormality detection device, a server, and a server that can easily identify which of the fixed station and the receiving device are defective It is an object to provide a system and method.

  In order to solve the above problems, the present invention compares the statistical data obtained by collecting the numerical data of the reception state accumulated when each receiving device is in the vicinity of the fixed station with the actual reception state, and determines whether there is an abnormality. I decided to detect it.

  Specifically, an abnormality detection device that detects whether there is an abnormality in a receiving device that receives radio waves from a fixed station, the reception state when the receiving device exists at a predetermined distance from the fixed station, and from the fixed station A first calculation unit is provided for comparing the statistical data obtained by counting the reception states of the respective reception devices at a predetermined distance to detect whether the reception device is abnormal.

  In the case of the above-described abnormality detection device, since the presence or absence of abnormality is detected based on statistical data obtained by collecting data accumulated when each receiving device is in the vicinity of the fixed station, data other than the vicinity of the fixed station is also included. The amount of data to be aggregated can be suppressed as compared to the case where the aggregation is included.

  In addition, the receiving device that receives fixed-station radio waves compares the above aggregated data with the actual reception status and detects whether there is an abnormality in the receiving device. Even if it exists, it can be easily specified on the receiving device side which of the fixed station and the receiving device is defective.

The statistical data is generated by a server that aggregates data indicating a reception state when each receiving device is present at a predetermined distance from the fixed station, and is provided from the server to the abnormality detecting device, The first calculation unit may periodically provide the server with data indicating a reception state when the receiving device exists at a predetermined distance from the fixed station. If it is the said abnormality detection apparatus, since the information of each receiver is shared by a server, a highly accurate detection result can be obtained, suppressing the amount of data to total.

  In addition, the first calculation unit performs a comparison between the statistical data and a reception state when the receiving device is present at a predetermined distance from the fixed station for at least two fixed stations, and Based on the comparison result of the fixed stations, the presence or absence of abnormality of the receiving device may be detected. If detection of the presence / absence of an abnormality in the receiving device is performed based on at least two fixed stations, the abnormality detecting device has a defect in either the fixed station or the receiving device even immediately after the abnormality occurs in the fixed station. It is possible to accurately detect whether there is any.

  Further, the data indicating the reception status of each receiving device is obtained by detecting that each receiving device is located at a predetermined distance from the fixed station by comparing the positioning data with the position data defining the position of the fixed station. May be stored in the memory. By providing the data indicating the reception state along with the positioning data, it is possible to identify the abnormality of the fixed station where the radio wave is not transmitted from the analysis of the numerical data indicating the reception state of each reception device.

  Further, the present invention is a server that processes data provided from each receiving device that receives radio waves from a fixed station, and that indicates data indicating a reception state when each receiving device exists at a predetermined distance from the fixed station. It may be provided with a second calculation unit that aggregates and generates statistical data on the reception status of the radio waves of the fixed station, and detects whether there is an abnormality in the fixed station based on the statistical data.

  In the case of the above server, since the presence or absence of an abnormality is detected based on the total result of data accumulated when each receiving device is in the vicinity of the fixed station, the data when not in the vicinity of the fixed station is also included. Compared with the case of summing up, it is possible to easily identify on the server side which of the fixed station and the receiving device has a problem while suppressing the amount of data to be summed up.

  The present invention can also be understood as a system, method, program, or recording medium on which the program is recorded. For example, the present invention is an abnormality detection system that detects an abnormality between a fixed station that communicates wirelessly and each receiving device, and aggregates data indicating a reception state when each receiving device exists at a predetermined distance from the fixed station. A second arithmetic unit that generates statistical data on the reception state of the radio waves of the fixed station, the statistical data generated by the second arithmetic unit, and the receiving device at a predetermined distance from the fixed station A first calculation unit that detects whether there is an abnormality in the reception device by comparing with a reception state at the time of reception, or a reception device that receives radio waves from a fixed station An abnormality detection program to be executed by a computing unit provided, wherein the reception state when the receiving device is present at a predetermined distance from the fixed station, and a statistics summing up the receiving state of each receiving device at a predetermined distance from the fixed station Compare with data Te, or it may be to execute a process for detecting the presence or absence of abnormality of the receiving device.

  It is possible to easily identify which of the fixed station and the receiving device is defective while suppressing the amount of data to be aggregated.

It is a block diagram of an abnormality detection system. It is the figure which showed the image of the process performed by the whole system. It is the figure which showed the outline | summary of the process performed by the whole system. It is the figure which showed the aspect when a roadside machine or vehicle equipment fails. It is a flowchart of a reception state judgment process. It is the figure which showed the radio wave arrival area, assumed reception range, and log collection range of each roadside machine. It is the figure which showed an example of the roadside machine map. It is the figure which showed an example of log data. It is the figure which showed an example of the receiving sensitivity map. It is a flowchart of a log transmission process. It is a flowchart of a map update process. It is a flowchart of a log accumulation process. It is a flowchart of a log analysis process. It is the figure which showed the processing content of total of a log list, and preparation of a receiving sensitivity map. It is the figure which simplified the radio wave arrival area. It is the figure which showed an example of CN ratio average of each point when it corresponds to a "normal pattern", and its standard deviation. It is the figure which showed an example of CN ratio average of each point when it corresponds to an "abnormal pattern (output under)", and its standard deviation. It is the figure which showed an example of CN ratio average of each point when it corresponds to "abnormal pattern (output excessive)", and its standard deviation. It is a sequence of reception status determination processing. It is a sequence of periodic aggregation and analysis of log data, and update processing of a reception sensitivity map. It is the figure which compared the data amount with a prior art example and an Example. It is an example of road ID. It is a modification of a receiving sensitivity map. It is a flowchart of the reception status judgment process which concerns on a modification.

  Hereinafter, modes for carrying out the present invention will be exemplarily described. The following embodiments are exemplifications, and do not limit the technical scope of the present invention.

<Configuration>
FIG. 1 is a configuration diagram of an abnormality detection system 100 according to an embodiment of the present invention. The abnormality detection system 100 includes a DSRC in-vehicle device (hereinafter simply referred to as an in-vehicle device 10) and a GPS (Global Positioning System) device 16 mounted on the vehicle 1, and a server 20 installed in the center 2. The in-vehicle device 10 is a kind of ITS (Intelligent Transport System) in-vehicle device, and examples thereof include an ETC (Electronic Toll Collection system) terminal and a car navigation device. The in-vehicle device 10 can be regarded as one aspect of the abnormality detection device referred to in the present application. However, the abnormality detection device referred to in the present application is not limited to such an aspect, and may be a device different from the in-vehicle device 10.

  The server 20 includes a processor 21, a memory 22, a communication interface (communication I / F) 24, and a database 23. When the processor 21 executes a computer program loaded on the memory 22, an abnormality detection process described later or the like. Execute. A series of processing is realized by the processor 21 cooperating with the memory 22, the communication I / F 24, and the database 23. The processor 21 is connected to the public communication line 4 via the communication I / F 24 and can communicate with the in-vehicle device 10 of the vehicle 1 via the public communication line 4.

The in-vehicle device 10 includes a processor 11, a nonvolatile memory 13, a transmission / reception unit 12, a communication I / F 14, and an input I / F 15, and the processor 11 executes a computer program loaded on the memory 13, thereby Various data (for example, data required for settlement if the in-vehicle device 10 is an ETC terminal, and data such as traffic information if the in-vehicle device 10 is a car navigation device) is obtained from the device 3. The transmission / reception unit 12 establishes a wireless communication line with various roadside devices 3 installed on the road on which the vehicle 1 travels, relays data exchanged between the processor 11 and the roadside device 3, Information such as the CN ratio and the packet error rate is passed to the processor 11. The memory 13 stores a log for recording information such as a CN ratio of the roadside device 3, a position data of the roadside device 3, a map of reception sensitivity, and the like.

  The GPS device 16 measures the position of the vehicle 1 based on a signal transmitted from a satellite. The GPS device 16 is connected to the input I / F 15 of the in-vehicle device 10 and sends the position data of the vehicle 1 to the processor 11 of the in-vehicle device 10.

<Overview of processing executed in the entire system>
FIG. 2 is a diagram showing an image of processing executed in the entire system. In the abnormality detection system 100, the server 20 of the center 2 processes data such as reception sensitivity and position sent from the vehicle-mounted device 10 of each vehicle 1. When the server 20 processes the data sent from the vehicle-mounted device 10 of each vehicle 1, the user or the administrator can detect a failure of the vehicle-mounted device 10 or the roadside device 3, and the failure occurrence location can be specified.

  FIG. 3 is a diagram showing an outline of processing executed in the entire system. Data exchanged between the vehicle 1 and the center 2 is processed as follows.

  That is, on the vehicle 1 side, radio wave reception sensitivity data of the roadside device 3 obtained when the vehicle 1 travels in the vicinity of the roadside device 3 is analyzed by the processor 11 of the in-vehicle device 10 to determine the reception state. (S1000). On the vehicle 1 side, reception sensitivity data is accumulated in a log and periodically transmitted to the server 20 (S2000). On the vehicle 1 side, the reception sensitivity map created by the server 20 is received, and the map is sequentially updated (S3000).

  On the center 2 side, the data transmitted from the vehicle-mounted device 10 is accumulated in the database 23 by the processor 21 (S4000), and the accumulated data is periodically analyzed to diagnose whether the roadside device 3 is faulty. A reception sensitivity map is created (S5000).

The above is the outline of the processing executed in the entire system 1, and the execution subject of each processing is as shown in the following table.

As a mode when the roadside device 3 or the vehicle-mounted device 10 breaks down, four patterns are conceivable as shown in FIG. That is, when the in-vehicle device 10 is within the assumed reception range of the roadside device 3 and can receive radio waves (Pattern 1), the radio wave is received even though the in-vehicle device 10 is within the assumed reception range of the roadside device 3. When it is impossible (Pattern 2), when the vehicle-mounted device 10 is outside the assumed reception range of the roadside device 3 and can receive radio waves (Pattern 3), and when the vehicle-mounted device 10 is the assumed reception range of the roadside device 3 There are four cases where the user is outside and cannot receive radio waves (pattern 4). The pattern 1 can be considered when the output of the roadside machine 3 is normal or excessive, and therefore the roadside machine 3 includes a possibility of abnormality. Since the case where the output of the roadside machine 3 is normal or too small is considered in the pattern 2, there is a possibility that either or both of the roadside machine 3 and the vehicle-mounted machine 10 are out of order. Since the pattern 3 can only be considered when the output of the roadside machine 3 is excessive, the roadside machine 3 has failed. Pattern 4 is basically a pattern when both the roadside device 3 and the vehicle-mounted device 10 are normal, but when the roadside device 3 fails and the output is too low, or the vehicle-mounted device 10 breaks down and becomes normal It includes the possibility of not being able to receive.

  The abnormality detection system 100 detects an abnormality of the roadside device 3 or the vehicle-mounted device 10 in any one of the patterns 1 to 3, and the vehicle 1 side detects the abnormality of the vehicle-mounted device 10 in the case of the pattern 2. Presence / absence is detected based on the reception sensitivity map, and on the center 2 side, the presence / absence of abnormality of the roadside device 3 in the case of patterns 1, 2, and 3 is detected based on log data sent from the vehicle-mounted device 10 of each vehicle 1.

  Hereinafter, details of processing executed by the processor 21 of the server 20 and the processor 11 of the vehicle-mounted device 10 will be described. For convenience of explanation, each process (S1000 to S5000) shown in the above table will be individually described below. However, each process is not necessarily executed before and after other processes. Sometimes executed in parallel. Each processing flow shown below is realized by each processor executing a computer program.

<Reception State Determination Process (S1000) Performed by Processor 11 of In-vehicle Device 10>
Hereinafter, details of the reception state determination process executed by the processor 11 of the in-vehicle device 10 will be described with reference to the flowchart of FIG. 5.

  (Step S1101) The processor 11 of the vehicle-mounted device 10 starts the hybrid system or EV (Electric Vehicle) when the drive source of the vehicle 1 is in an operating state (hereinafter referred to as ACC on), that is, if the drive source is an internal combustion engine. ) If the system power is turned on for the system, data relating to the position of the vehicle 1 is acquired from the GPS device 16.

  (Step S1102) When the processor 11 of the in-vehicle device 10 acquires position data from the GPS device 16, the processor 11 accesses the memory 13 and refers to a map indicating the position of the roadside device 3 (hereinafter referred to as a roadside device map). The roadside machine map is created by an ITS (Intelligent Transport System) operator or the like and is stored in the memory 13 in advance.

  The processor 11 of the in-vehicle device 10 compares the position data acquired from the GPS device 16 with the roadside device map, and determines whether or not the vehicle 1 is located in a predetermined vicinity of the roadside device 3. Here, the predetermined vicinity of the roadside device 3 is a range inside the range where radio waves can reach when the transmission output of the roadside device 3 is excessive, and is shown as, for example, “log collection range” in FIG. Within range.

Assume that the roadside machine 3 is at a position C-3, a position D-10, and a position K-6 on the roadside machine map as shown in FIG. 6, for example. Further, it is assumed that the range in which the roadside device 3 provides information is limited to the range indicated by “assumed reception range”. In this case, if the transmission output of the roadside device 3 is normal, the area where the radio wave actually reaches (hereinafter referred to as the radio wave arrival area), for example, as the roadside device 3 at the position C-3, is “assumed reception range”. "Generally agrees. On the other hand, if the transmission output of the roadside machine 3 is excessive, the radio wave reaches a range outside the range in which the roadside machine 3 provides information. For example, like the roadside machine 3 at the position D-10, The radio wave arrival area becomes wider than the “assumed reception range”. Further, if the transmission output of the roadside device 3 is too small, the radio wave arrival area becomes narrower than the “assumed reception range”, for example, like the roadside device 3 at the position K-6.

  Therefore, in the abnormality detection system 100, the vehicle 1 is in the “log collection range” in order to be able to detect the roadside device 3 having an excessive transmission output while suppressing the amount of collected data. When the processor 11 detects based on the position information of the GPS device 16, the data of the reception sensitivity is recorded in the log. The roadside machine map is for detecting whether or not the vehicle 1 is in the “log collection range” based on the positional information of the GPS device 16. For example, as shown in FIG. It has ID information for identification, information on the provision area, and information on the peripheral area. In the table of FIG. 7, “provided area” corresponds to “assumed reception range” of FIG. 6, and “peripheral area” of FIG. 7 corresponds to “log collection range” of FIG.

  If the latitude / longitude position information notified from the GPS device 16 matches the mesh ID of the provision area or the surrounding area of any roadside machine 3 indicated by the roadside machine map, the processor 11 of the in-vehicle device 10 Is determined to be in the vicinity of the roadside device 3. On the other hand, if the processor 11 of the vehicle-mounted device 10 does not match the latitude / longitude position information acquired from the GPS device 16 with the mesh IDs of the provided area and the surrounding area of any roadside device 3 indicated by the roadside device map, It is determined that the vehicle 1 is not near any roadside machine 3.

  Here, the mesh ID is information for indicating a specific position on the map, and the corresponding latitude / longitude information is attached to each mesh ID. The processor 11 of the vehicle-mounted device 10 compares the latitude / longitude information notified from the GPS device 16 with the latitude / longitude information attached to the mesh ID of the roadside device map, so that the vehicle 1 is connected to a specific roadside. It is determined whether or not the aircraft 3 is in the vicinity. The “peripheral area” of the roadside machine map indicating the “log collection range” may be specified in advance as shown in the table of FIG. 7, or the processor 11 determines according to the distance from the roadside machine 3. May be.

  (Step S1103) When the processor 11 of the in-vehicle device 10 detects that the vehicle 1 is located within the “log collection range” in the process of Step S1102, the radio wave of the roadside device 3 notified from the transmission / reception unit 12 is detected. Information on CN ratio (Carrier to Noise Ratio) and packet error rate (error rate of received data) is acquired. As a result, as shown in FIG. 8, log data composed of seven pieces of information including the ID of the roadside device, the date and time, the channel receiving the radio wave, the latitude and longitude, the CN ratio, and the packet error rate is generated.

  (Step S1104) The processor 11 of the in-vehicle device 10 stores the generated log data in the memory 13.

  (Step S1105) The processor 11 of the vehicle-mounted device 10 stores the log data in the memory 13, and then determines the reception state. The determination of the reception state may be performed before the log data is stored in the memory 13.

  After storing the log data in the memory 13, the processor 11 of the in-vehicle device 10 accesses the memory 13 and refers to the reception sensitivity map. The reception sensitivity map is for detecting whether or not the in-vehicle device 10 is normal. For example, as shown in FIG. 9, the average of the CN ratio of radio waves of the roadside device 3, its standard deviation, packet error, etc. It has information on the average of the rate and its standard deviation.

  Since these pieces of information indicated by the reception sensitivity map are generated based on information sent from the vehicle-mounted device 10 of each vehicle 1 to the center 2, the CN ratio and the packet error rate of the log data generated in step S1103 are the same. If it deviates from the data indicated by the reception sensitivity map, it is estimated that there is some abnormality in the in-vehicle device 10.

Therefore, if the CN ratio of the log data generated in step S1103 is small, that is, the processor 11 of the in-vehicle device 10 is below the “lower limit value of distribution” shown in the following equation, the in-vehicle device 10 has an abnormality. Judge that there is.

  For example, consider the case where the log data generated in step S1103 is as shown in FIG. 8, and the reception sensitivity map corresponding to the latitude and longitude of the log data is as shown in FIG. From the above equation (Equation 1) and the reception sensitivity map of FIG. 9, the lower limit of the distribution of the CN ratio at the latitude and longitude of the log data is from 23 dB (CN ratio average) to 2 dB (twice the CN ratio standard deviation). Subtracted 21 dB. On the other hand, the CN ratio of the log data is 22 dB, which exceeds the lower limit value of the distribution of the CN ratio. Therefore, the processor 11 of the in-vehicle device 10 determines that the CN ratio is normal.

On the other hand, the processor 11 of the in-vehicle device 10 causes an error in the in-vehicle device 10 if the packet error rate of the log data generated in step S1103 is large, that is, exceeds the “upper limit value of distribution” shown in the following equation Judge that there is.

  For example, consider the case where the log data generated in step S1103 is as shown in FIG. 8, and the reception sensitivity map corresponding to the latitude and longitude of the log data is as shown in FIG. From the above equation (Equation 2) and the reception sensitivity map of FIG. 9, the upper limit of the distribution of the packet error rate at the latitude and longitude of the log data is 0.01% (packet error rate average) to 0.002% (packet The error rate is twice the standard deviation (0.012%). On the other hand, the packet error rate of the log data is 0%, which is below the upper limit value of the distribution of the packet error rate, so the processor 11 of the in-vehicle device 10 determines that the packet error rate is normal.

  (Step S1106) If both the CN ratio and the packet error rate are normal, the processor 11 of the in-vehicle device 10 determines that there is no abnormality in the reception state and the in-vehicle device 10 is normal. On the other hand, if either the CN ratio or the packet error rate is abnormal, the processor 11 of the in-vehicle device 10 determines that the reception state is abnormal and the in-vehicle device 10 is not normal.

  (Step S1107) When the processor 11 of the in-vehicle device 10 determines that the reception state is abnormal and the in-vehicle device 10 is not normal in the process of step S1106, the user is notified by an indicator lamp or sound that the in-vehicle device 10 is abnormal. To notify.

  Details of the reception state determination processing executed by the processor 11 of the in-vehicle device 10 are as described above. When the vehicle 1 is in the ACC on state, the processor 11 of the vehicle-mounted device 10 repeatedly executes the processing of steps S1101 to S1107 periodically (for example, every second or every time the vehicle 1 moves several meters).

  In the process of step S1105, the threshold for determining whether or not the vehicle-mounted device 10 is normal is set to twice (2σ) the standard deviation that corresponds to about 95% of data on the normal distribution. Was. However, the threshold for determining whether or not the in-vehicle device 10 is normal may be changed as appropriate, for example, such as 1 time (σ) or 3 times (3σ) of the standard deviation.

<Log transmission processing (S2000) executed by processor 11 of in-vehicle device 10>
Hereinafter, details of the log transmission processing executed by the processor 11 of the in-vehicle device 10 will be described with reference to the flowchart of FIG. 10.

  (Step S2101) When the vehicle 1 enters the ACC on state, the processor 11 of the in-vehicle device 10 determines whether or not it is a predetermined timing to transmit the log accumulated in the memory 13 to the center 2. The timing of transmitting the log accumulated in the memory 13 to the center 2 is arbitrary, for example, every 10 minutes, when the drive source of the vehicle 1 is stopped (hereinafter referred to as ACC off), or the memory 13 is free When the capacity runs out, etc., it is set as appropriate in consideration of the specifications of the abnormality detection system 100.

  (Step S2102) If the processor 11 of the in-vehicle device 10 determines that it is the predetermined timing to transmit the log to the center 2 in the process of Step S2101, the communication I / F 14 passes the public communication line 4 to the server 20 Access is made and a large number of log data (hereinafter referred to as a log list) stored in the memory 13 is sent to the server 20. The processor 11 of the vehicle-mounted device 10 deletes the log list stored in the memory 13 after transmitting the log list stored in the memory 13.

  Details of the log transmission processing executed by the processor 11 of the in-vehicle device 10 are as described above. When the vehicle 1 is in the ACC-on state, the processor 11 of the vehicle-mounted device 10 repeatedly executes the processes of steps S2101 to S2102, so that the log list is periodically transmitted to the center 2 at a predetermined timing. When the predetermined timing is when the driving source of the vehicle 1 is in a stopped state (hereinafter referred to as ACC off), a log list is transmitted to the center 2 and is stored in the memory 13. After deleting the list, the execution of the processes in steps S2101 to S2102 ends.

<Map update process executed by processor 11 of in-vehicle device 10 (S3000)>
Hereinafter, the details of the map update process executed by the processor 11 of the in-vehicle device 10 will be described along the flowchart of FIG. 11.

  (Step S3101) When the vehicle 1 is in the ACC on state, the processor 11 of the in-vehicle device 10 accesses the server 20 via the public communication line 4 via the communication I / F 14 and is stored in the database 23 of the server 20. Queries whether the received sensitivity map is updated. Whether or not the reception sensitivity map stored in the database 23 has been updated depends on the property information (version information and update date / time information) of the reception sensitivity map stored in the memory 13 and the reception stored in the database 23. This is done by comparing the property information of the sensitivity map.

  (Step S3102) When the processor 11 of the in-vehicle device 10 determines that the reception sensitivity map stored in the database 23 has been updated, the processor 11 requests the server 20 to transmit data of the reception sensitivity map.

  (Step S3103) When the data is transmitted from the server 20, the processor 11 of the in-vehicle device 10 stores the new reception sensitivity map data in the memory 13 and the old reception sensitivity map data stored in the memory 13. Is deleted.

  The details of the map update process executed by the processor 11 of the in-vehicle device 10 are as described above. The processor 11 of the vehicle-mounted device 10 keeps the reception sensitivity map stored in the memory 13 in the latest state by executing the processing of steps S3101 to S3103 when the vehicle 1 is in the ACC on state.

  The reception sensitivity map may be updated not only when the vehicle 1 is in the ACC on state, but may be repeatedly executed in the ACC on state, or may be updated once a month, for example. Further, the roadside machine map may be updated together with the reception sensitivity map.

<Log accumulation processing executed by processor 21 of server 20 (S4000)>
Hereinafter, details of the log accumulation process executed by the processor 21 of the server 20 will be described with reference to the flowchart of FIG. The processor 21 of the server 20 executes when the server 20 is started and a computer program is loaded into the memory 22 and repeatedly executes a series of processes shown below.

  (Step S4101) The processor 21 of the server 20 determines whether or not the processor 11 of the in-vehicle device 10 accesses the server 20 via the public communication line 4 and transmits a log list.

  (Step S 4102) The processor 21 of the server 20 stores the log list acquired via the communication I / F 24 in the database 23 when the processor 11 of the in-vehicle device 10 is transmitting the log list.

  Details of the log accumulation processing executed by the processor 21 of the server 20 are as described above. The processor 21 of the server 20 stores the log list transmitted from each vehicle 1 in the database 23 by repeatedly executing the processes of steps S4101 to S4102 when the server 20 is activated.

<Log analysis processing executed by processor 11 of server 20 (S5000)>
Hereinafter, the details of the log analysis process executed by the processor 21 of the server 20 will be described with reference to the flowchart of FIG. The processor 21 of the server 20 executes when the server 20 is started and a computer program is loaded into the memory 22 and repeatedly executes a series of processes shown below.

  (Step S 5101) The processor 21 of the server 20 determines whether or not it is a predetermined timing for analyzing the log list stored in the database 23. The timing of analyzing the log list stored in the database 23 is arbitrary, and is set as appropriate in consideration of the specification of the abnormality detection system 100, for example, every month.

  (Step S 5102) If the processor 21 of the server 20 determines that it is the predetermined timing for analyzing the log list in the process of step S 5101, it totals the log list stored in the database 23 and creates a reception sensitivity map. . Since the log list of various latitudes and longitudes is stored in the database 23, the processor 21 of the server 20 classifies the log list for each mesh ID from the latitude and longitude of each log list, and the log list for each mesh ID. Totals and creates a reception sensitivity map.

  The processing contents of log list aggregation and reception sensitivity map creation executed by the processor 21 of the server 20 will be described with reference to FIG. The processor 21 of the server 20 calculates the average value and the standard deviation by adding the CN ratio and the packet error rate of the log list sent from each vehicle 1 for each mesh ID, and obtains the reception sensitivity map of each mesh ID. Create and store in memory 22.

(Step S5103) After creating the reception sensitivity map, the processor 21 of the server 20 analyzes the created reception sensitivity map and determines whether there is an abnormality in the transmission output of each roadside device 3 for each roadside device 3 as follows. To do. That is, the processor 21 of the server 20 refers to the reception sensitivity map stored in the memory 22 and determines whether or not each mesh ID can be received and whether or not there is leakage from each mesh ID based on the average CN ratio of each mesh ID and its standard deviation. Do.

  Here, the determination as to whether or not reception is possible is intended to detect the roadside device 3 whose transmission output is too low, and the majority of the vehicle-mounted devices 10 can normally receive the radio waves of the roadside device 3 at points within the assumed reception range. More specifically, the determination is made based on whether or not about 95% of the vehicle-mounted devices 10 on the normal distribution can normally receive the radio waves of the roadside device 3. For example, for a specific point within the assumed reception range, a value obtained by subtracting twice the standard deviation (2σ) from the CN ratio average (hereinafter referred to as the reception lower limit value) is calculated, and the calculated reception lower limit value is the prescribed reception. If it is higher than the strength (for example, 19 dB), the reception capability of the point is good (OK), and if the calculated reception lower limit value is less than the prescribed reception strength, the reception capability of the point is bad (NG).

  Here, the determination of the presence or absence of leakage is for the purpose of detecting the roadside device 3 having an excessive transmission output, and whether or not the majority of the vehicle-mounted devices 10 can receive the radio waves of the roadside device 3 at points outside the assumed reception range. More specifically, the determination is made based on whether or not about 95% of the vehicle-mounted devices 10 on the normal distribution can receive radio waves from the roadside device 3. For example, for a specific point outside the assumed reception range, a value obtained by adding twice (2σ) the standard deviation from the CN ratio average (hereinafter referred to as the leakage upper limit value) is calculated, and the calculated leakage upper limit value is the specified leakage If the strength (for example, 19 dB, etc.) or less, the presence / absence of leakage at the point is good (OK), and if the calculated leakage upper limit is stronger than the prescribed leakage strength, the presence / absence of leakage at the point is bad (NG).

  Specific examples of the determination of whether or not reception is possible and whether or not there is leakage will be described below. For ease of explanation, the radio wave arrival area shown in FIG. 6 will be described with reference to FIG.

  When the roadside device 3 is normal and there is no excess or deficiency in transmission output, as shown as “normal pattern” in FIG. 15, radio waves reach points 2 to 4 within the assumed reception range and are outside the assumed reception range. The radio waves do not reach the points 1 and 5. FIG. 16 shows an example of the CN ratio average of each point and its standard deviation when it corresponds to the “normal pattern” in FIG.

  When the roadside machine 3 is normal and there is no excess or deficiency in the transmission output, as shown in FIG. 16, the reception lower limit value at points 2 and 4 within the assumed reception range is 19 dB, and the reception lower limit value at point 3 is 20 dB. Any part is equal to or higher than the prescribed reception strength, and reception is possible, so that the determination result of whether or not reception is possible is good (OK). Moreover, since the leak upper limit value of the points 1 and 5 that are outside the assumed reception range is 18 dB, any of the points is less than or equal to the prescribed leak strength, and since there is no leak, the determination result of whether or not leak is good (OK).

  On the other hand, when the roadside device 3 is abnormal and the transmission output is too low, as shown as “abnormal pattern (output too low)” in FIG. . FIG. 17 shows an example of the CN ratio average of each point and its standard deviation when it corresponds to the “abnormal pattern (output too small)” in FIG.

  When the roadside machine 3 is abnormal and the transmission output is too small, as shown in FIG. 17, the reception lower limit value of the points 2 and 4 within the assumed reception range is 16 dB, which is less than the prescribed reception strength, and reception is impossible. The determination result of availability is NO (NG).

  Further, when the roadside device 3 is abnormal and the transmission output is excessive, the radio wave reaches points 1 and 5 that are outside the assumed reception range as shown as “abnormal pattern (excessive output)” in FIG. . FIG. 18 shows an example of the CN ratio average of each point and its standard deviation when it corresponds to the “abnormal pattern (excessive output)” in FIG.

  When the roadside machine 3 is abnormal and the transmission output is excessive, as shown in FIG. 18, the leakage upper limit value at points 1 and 5 outside the assumed reception range is 20 dB, which is stronger than the prescribed leakage strength and has leakage. The determination result of the presence / absence of leakage is “Yes” (NG).

  The processor 21 of the server 20 determines whether or not reception is possible and whether or not there is leakage at each point. If both are normal, it is determined that there is no abnormality in the roadside device 3, and if any is abnormal, the roadside device 3 is concerned. Is determined to be abnormal, and the administrator of the roadside device 3 is notified. The notification to the administrator of the roadside device 3 may be made such that the operator of the center 2 who is the administrator of the server 20 contacts the management company of the roadside device 3 by displaying a message on the display screen of the server 20 or the like. Then, the server 20 may notify the computer terminal of the management company of the roadside device 3 and other various information terminals by e-mail or the like. The processor 21 of the server 20 determines whether or not the roadside device 3 is abnormal based on the CN ratio average and its standard deviation. However, the processor 21 may determine based on the packet error rate average and its standard deviation. Good.

  (Step S5104) The processor 21 of the server 20 analyzes the reception sensitivity map to determine whether there is an abnormality in the roadside device 3, and then creates the reception sensitivity map stored in the memory 22 created in step S5102 and the past. Comparison with the reception sensitivity map stored in the database 23 is performed to determine whether there is a difference.

  (Step S5105) If there is a difference between the reception sensitivity map stored in the memory 22 and the reception sensitivity map stored in the database 23, the processor 21 of the server 20 receives the reception sensitivity stored in the database 23. The map is deleted, and the reception sensitivity map stored in the memory 22 is stored in the database 23 together with new property information, thereby updating the reception sensitivity map in the database 23.

  Details of the log analysis processing executed by the processor 21 of the server 20 are as described above. When the server 20 is activated, the processor 21 of the server 20 repeatedly executes the processes of steps S5101 to S5105 to detect an abnormality of the roadside device 3 and update the reception sensitivity map.

<Effect>
When the processor 11 of the in-vehicle device 10 executes the above-described series of processing (S1000), as shown in FIG. 19, the reception state determination based on the CN ratio and packet error rate of each point and the reception sensitivity map of the memory 13 is performed. Is done.

  Further, when the processor 11 of the in-vehicle device 10 and the processor 21 of the server 20 execute the above-described series of processing (S2000 to S5000), the CN ratio and the packet error rate at each point are changed as shown in FIG. Is stored in the memory 13 as a log. Logs stored in the memory 13 are periodically transmitted to the database 23 of the server 20. On the server 20 side, the log data accumulated in the database 23 is periodically counted and analyzed, and the reception sensitivity map of the database 23 is periodically updated.

Therefore, with the abnormality detection system 100, only the reception state of the in-vehicle device 10 when the vehicle 1 is traveling in the vicinity of the roadside device 3 is accumulated as log data and uploaded to the server 20 of the center 2. Therefore, the data traffic of the entire abnormality detection system 100 can be suppressed to the minimum amount. That is, for example, when collecting reception sensitivity data at all points as in the conventional example shown in FIG. 21, only the reception sensitivity data around each roadside device 3 as in the abnormality detection system 100 according to the present embodiment. Compared with the case of collecting data, the data traffic of the entire abnormality detection system 100 can be greatly reduced. Further, while suppressing the data traffic of the entire abnormality detection system 100 to the minimum amount, the abnormality of the in-vehicle device 10 can be instantaneously detected on the vehicle 1 side and the abnormality of the roadside device 3 can be instantaneously detected on the center 2 side.

  In addition, in the said abnormality detection system 100, although the reception sensitivity map for every mesh which divided | segmented the map was used, it is not limited to such an aspect. For example, a road ID assigned to each road as shown in FIG. 22 may be used, and a reception sensitivity map for each road ID as shown in FIG. 23 may be used.

  Further, in the abnormality detection system 100, data such as logs and reception sensitivity maps are exchanged via the public communication line 4, but data exchange between the in-vehicle device 10 and the server 20 is performed by the roadside device 3. You may go through.

  Moreover, although the said abnormality detection system 100 illustrated the vehicle equipment 10 mounted in the vehicle 1, it is not limited to such an information terminal. The abnormality detection system 100 can be applied to any information terminal capable of positioning, and can be applied to various wireless communication systems such as a mobile phone and a wireless LAN.

<Modification>
By the way, in the above-described abnormality detection system 100, the roadside device 3 is out of order and the transmission output of the roadside device 3 is abnormally reduced, and the vehicle-mounted device is because the roadside device 3 is immediately after the failure. When the reception sensitivity map of 10 is not updated, there is a possibility that an erroneous determination that the in-vehicle device 10 is abnormal is made in the process of step S1106 even though the in-vehicle device 10 has not failed. Therefore, in this modification, the processor 11 of the in-vehicle device 10 performs processing based on the reception state at the two roadside devices 3, and the abnormality of the in-vehicle device 10 is detected when the reception state is abnormal at two consecutive locations. If the reception status is normal at the second location even though the reception status is abnormal at the first location, the server 20 of the center 2 indicates that the first roadside device 3 is abnormal. Shall be notified. Specifically, the reception state determination process (S1000) shown in FIG. 5 is modified as follows.

<Modification of Reception State Determination Process (S1000) Performed by Processor 11 of In-vehicle Device 10>
Hereinafter, details of the reception state determination process executed by the processor 11 of the in-vehicle device 10 according to the present modification will be described with reference to the flowchart of FIG. Note that the same processes (S1101 to S1105) as those shown in FIG. 5 are denoted by the same reference numerals in FIG. 24, and detailed description thereof is omitted.

  (Step S1206) If both the CN ratio and the packet error rate are normal, the processor 11 of the in-vehicle device 10 executes a process of step S1211 described later. On the other hand, if either the CN ratio or the packet error rate is abnormal, the processor 11 of the in-vehicle device 10 executes the process of step S1207.

  (Step S1207) If either the CN ratio or the packet error rate is abnormal, the processor 11 of the in-vehicle device 10 accesses the memory 13 and determines the state of the error flag.

  (Step S1208) When the processor 11 of the in-vehicle device 10 determines that the error flag is off in the process of step S1207, the processor 11 accesses the memory 13 to turn on the error flag and detects the vehicle detected in step S1102. 1 is stored, that is, the roadside machine ID of the roadside machine 3 whose reception state is abnormal is stored. And the processor 11 of the vehicle equipment 10 repeats the process after step S1101.

(Step S1209) On the other hand, when the processor 11 of the in-vehicle device 10 determines that the error flag is on in the process of Step S1209, the processor 11 refers to the roadside device ID stored in the memory 13 together with the error flag. Here, if the referenced roadside machine ID does not match the ID of the roadside machine 3 in the vicinity of the vehicle 1 detected in step S1102, that is, the ID of the roadside machine 3 whose reception state is abnormal, the two roadside machines Since the reception state is continuously abnormal in the machine 3, it becomes definite that the in-vehicle apparatus 10 is abnormal.

  (Step S1210) Therefore, in step S1209, the processor 11 of the in-vehicle device 10 matches the roadside device ID stored in the memory 13 together with the error flag with the ID of the roadside device 3 near the vehicle 1 detected in step S1102. If it is determined that it is not, the user is notified that there is an abnormality in the in-vehicle device 10 with an indicator lamp or sound. On the other hand, the processor 11 of the vehicle-mounted device 10 determines in step S1209 that the roadside device ID stored in the memory 13 together with the error flag matches the ID of the roadside device 3 near the vehicle 1 detected in step S1102. In this case, this step is omitted and the processing after step S1101 is repeated.

  (Step S1211) When the processor 11 of the in-vehicle device 10 determines that both the CN ratio and the packet error rate are normal in the process of Step S1206, the processor 11 accesses the memory 13 to determine the state of the error flag. . Here, if the error flag is on, the reception state is normal in the current roadside device 3 even though the reception state in the previous roadside device 3 is abnormal. Is normal, and it becomes definite that there was an abnormality in the previous roadside machine 3.

  (Step S1212) Therefore, if the processor 11 of the in-vehicle device 10 determines that the error flag is on in the process of Step S1211, the processor 11 accesses the server 20 via the public communication line 4 by the communication I / F 14. By sending the information on the roadside machine ID stored in the memory 13 together with the error flag to the server 20, the abnormality of the roadside machine 3 is notified. When the information on the roadside machine ID is sent from the processor 11 of the in-vehicle device 10, the processor 21 of the server 20 displays the message on the display screen of the server 20 and the operator of the center 2 who is the administrator of the server 20 You may make it contact the management company of the machine 3, and you may alert | report by the email etc. from the server 20 to the computer terminal of the management company of the roadside machine 3, and other various information terminals.

  (Step S1213) The processor 11 of the vehicle-mounted device 10 notifies the abnormality of the roadside device 3 in the process of Step S1212, and then accesses the memory 13 to turn off the error flag. And the processor 11 of the vehicle equipment 10 repeats the process after step S1101.

  In the case of the abnormality detection system 100, the roadside device 3 is out of order and the transmission output of the roadside device 3 is abnormally lowered, and the in-vehicle device is because the roadside device 3 is immediately after the failure. Even if the 10 reception sensitivity maps have not been updated, the erroneous determination that the in-vehicle device 10 is abnormal is not made even though the in-vehicle device 10 has not failed.

100..Anomaly detection system: 1..Vehicle: 2..Center: 3..Roadside machine: 4..Public communication line: 10..On-vehicle equipment: 20..Server: 11, 21..Processor: 12 .. Transmission / reception unit: 13, 22 Memory: 14, 24 Communication communication I / F: 15 Input I / F: 16 GPS device: 23 Database

Claims (6)

An abnormality detection device that detects whether there is an abnormality in a receiving device that receives radio waves from a fixed station,
Comparing the reception status when the receiving device is present at a predetermined distance from the fixed station with statistical data obtained by counting the reception status of each receiving device at a predetermined distance from the fixed station, whether there is an abnormality in the receiving device A first arithmetic unit for detecting
Anomaly detection device. The statistical data is generated by a server that aggregates data indicating a reception state when each receiving device is present at a predetermined distance from the fixed station, and is provided from the server to the abnormality detecting device,
The first calculation unit periodically provides the server with data indicating a reception state when the receiving device exists at a predetermined distance from the fixed station.
The abnormality detection device according to claim 1. The first calculation unit performs comparison between the statistical data and a reception state when the receiving device is present at a predetermined distance from the fixed station for at least two fixed stations, and the at least two fixed stations Based on the comparison result of, detecting the presence or absence of abnormality of the receiving device,
The abnormality detection device according to claim 1 or 2. A server that processes data provided from each receiving device that receives radio waves from a fixed station,
Data indicating the reception state when each receiving device is present at a predetermined distance from the fixed station is aggregated to generate statistical data on the reception state of the radio waves of the fixed station, and based on the statistical data, A second arithmetic unit for detecting the presence or absence of abnormality,
server. An anomaly detection system that detects anomalies between a fixed station and each receiving device for wireless communication,
A second calculation unit that aggregates data indicating a reception state when each receiving device is present at a predetermined distance from the fixed station, and generates statistical data of a reception state of the radio waves of the fixed station;
The statistical data generated by the second arithmetic unit is compared with a reception state when the receiving device is present at a predetermined distance from the fixed station, and the first detecting the presence or absence of abnormality of the receiving device An arithmetic unit,
Anomaly detection system. An abnormality detection method for detecting whether there is an abnormality in a receiving device that receives radio waves from a fixed station,
Comparing the reception state when the receiving device is present at a predetermined distance from the fixed station and statistical data obtained by aggregating data indicating the reception state when each receiving device is present at a predetermined distance from the fixed station, Detecting the presence or absence of an abnormality in the receiving device;
Anomaly detection method.

Images