JP2013100111A - Abnormal cause specifying device, abnormal cause specifying system, and abnormal cause specifying method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an abnormal cause specifying device, an abnormal cause specifying system, and an abnormal cause specifying method, which can detect abnormality generated in a moving body instantly and specify an abnormal cause.SOLUTION: The abnormal cause specifying device 4 is applied to a train, and specifies abnormal causes generated in the instruments by a measured value 10 from a plurality of instruments which are mounted on a vehicle 1 being inputted. The device includes: an abnormal determination part 12 that checks a reference value 20 against the measured value 10 to determine whether the measured value 10 is normal for each of the instruments; and an abnormal cause specifying part 13 that specifies whether the abnormal generation cause is caused by an instrument-specific factor or by other factor in accordance with distribution of a mounting position of an abnormal instrument of which the measured value 10 is determined to be abnormal in the vehicle 1 for each of the vehicle 1, and outputs it as information 14 showing the abnormal cause.

Description

  The present invention relates to an abnormality cause identification device, an abnormality cause identification system, and an abnormality cause identification method for performing abnormality detection on a moving object, particularly a value measured in a train, and identifying the cause. .

  The prior art disclosed in Patent Document 1 below analyzes and extracts conditions for detecting an anomaly on the ground side in order to reduce the processing load in the moving body, and transmits the conditions to the moving body through radio. Thus, the condition for detecting an abnormality in the moving body is updated. As described above, according to the related art, processing is performed inside the moving body according to the extracted conditions, and abnormality detection is performed.

Japanese Patent No. 4177154

  However, since the prior art disclosed in Patent Document 1 performs abnormality detection based on conditions previously extracted on the ground side, it detects an abnormality when an abnormality other than the extracted conditions occurs. There was a problem that could not. Further, the conventional technique disclosed in Patent Document 1 only performs abnormality detection, and there is a problem that the cause of the detected abnormality cannot be specified.

  The present invention has been made in view of the above, and an abnormality cause identification device, an abnormality cause identification system, and an abnormality cause identification that can immediately detect an abnormality occurring in a moving body and identify the cause of the abnormality The purpose is to obtain a method.

  In order to solve the above-described problems and achieve the object, the present invention is applied to a train, and dynamic values from a plurality of devices mounted on the vehicle are used as inputs, and the cause of the abnormality occurring in the device is specified. An abnormality cause identifying device that compares a predetermined reference value with the dynamic value, determines whether the dynamic value is normal for each device, and determines whether the dynamic value is normal for each vehicle. Based on the distribution of the mounting position of the abnormal equipment whose value is determined to be abnormal in the vehicle, it is determined whether the cause of the abnormality is caused by a factor specific to the equipment or other factors, and the cause of the abnormality is determined. And an abnormality cause identifying unit that outputs the information as information to be displayed.

  According to the present invention, the value measured by the plurality of sensors and the reference value in the moving body at the time of traveling are compared, and the abnormality is detected using the value of the sensor determined to be abnormal and the value of the other sensor. Since the measured range is specified, it is possible to immediately detect an abnormality that has occurred in the moving body and specify the cause of the abnormality.

FIG. 1 is a diagram illustrating the configuration of the abnormality cause identifying device according to the first embodiment of the present invention. FIG. 2 is a flowchart for explaining the abnormality detection process. FIG. 3 is a flowchart for explaining the abnormality cause identification process. FIG. 4 is a diagram showing that an abnormality has occurred in the axle portion. FIG. 5 is a diagram illustrating that an abnormality has occurred in a rail in a specific section. FIG. 6 is a diagram illustrating that an abnormality has occurred due to the route environment. FIG. 7 is a flowchart for explaining abnormality cause identification processing by the abnormality cause identification system according to the second embodiment. FIG. 8 is a diagram for explaining a specific example of an abnormality that has occurred in a specific train. FIG. 9 is a diagram for explaining a specific example of an abnormality that has occurred due to a driving operation mistake or the like. FIG. 10 is a diagram for explaining a specific example of an abnormality that has occurred in a route environment or the like. FIG. 11 is a flowchart for explaining abnormality cause identification processing by the abnormality cause identification device according to the third embodiment.

  Embodiments of an abnormality cause identification device, an abnormality cause identification system, and an abnormality cause identification method according to the present invention will be described below in detail with reference to the drawings. Note that the present invention is not limited to the embodiments. Moreover, you may implement simultaneously combining each embodiment.

Embodiment 1 FIG.
FIG. 1 is a diagram illustrating the configuration of the abnormality cause identifying device according to the first embodiment of the present invention. Here, a train will be described as an example of the moving body. In FIG. 1A, a sensor 2 and an abnormality cause identifying device 4 are installed in each vehicle 1 of a train.

  In FIG. 1 (b), the abnormality cause identifying device 4 uses a storage unit 11 for storing a measured value (dynamic value) 10 sent from the sensor 2 of each vehicle 1 and a measured value 10 as main components. An abnormality determining unit 12 that determines whether or not an abnormality has occurred in the axle portion where the sensor 2 is disposed, and an abnormality cause identifying unit 13 that identifies a range in which the abnormality is measured are configured. . The measured value 10 is a value indicating the state of the vehicle when the vehicle is on the route (including both when traveling and when stopping at a station or the like).

  The sensors 2 described above are disposed in all the vehicles 1 or a plurality of vehicles 1 and are attached to one or a plurality of trolleys or devices of the vehicle 1, and in FIG. The right axle is distributed and arranged at eight locations. The sensor 2 measures the vibration of the carriage and transmits the measured value 10 to the abnormality cause identifying device 4. The period at which the sensor 2 measures vibration is, for example, in units of 1 second or 500 milliseconds, but is not limited to the period, and may be a period around or longer than this.

  The measured value 10 output from the sensor 2 is preserve | saved at the memory | storage part 11 via the network in a train, for example. The transmission cycle of the measured value 10 is, for example, in units of 0 seconds or 5 seconds, but is not limited to the transmission cycle, and may be determined in consideration of the processing capability of the sensor 2 and the network speed of the moving body. Good.

  The storage unit 11 may be a hard disk or the like that can store a large capacity measurement value 10. Further, when the measured value 10 is stored in the storage unit 11, the train information 9 at the same time is obtained via the network in the train and stored in the storage unit 14. The train information 9 here refers to kilometer information, speed, notch information, station name, line name, train number, overhead line voltage, time, set temperature of the air conditioner, door opening / closing command information of the door closing device, and the like. Although one storage unit 11 is mounted in the abnormality cause identification device 4, the storage unit 11 may be installed in a plurality of vehicles 1.

(Abnormality detection operation)
Next, the operation of the abnormality cause identification device 4 will be described. FIG. 2 is a flowchart for explaining the abnormality detection process. The abnormality determination unit 12 first has a measurement value 10 stored in the storage unit 11 and a reference value (first reference value) derived from the past measurement value 10 that is data stored in the storage unit 11. And read. Then, a new reference value (second reference value) is calculated based on the read measurement value 10 and the first reference value (step S10). As a method for deriving the second reference value, an average value or a standard deviation representing how the measurement values 10 are distributed is used. In this way, by using the first reference value, it is possible to reduce the burden of calculation processing in the train.

  The abnormality determination unit 12 always obtains the latest reference value (third reference value) 20 by overwriting the derived second reference value on the first reference value (step S11). After that, the abnormality determination unit 12 compares the derived reference value 20 with the measured value 10 (step S13).

  Finally, when the reference value 20 and the measured value 10 are substantially the same value (step S13, Yes), the abnormality determining unit 12 determines that the measured value 10 is normal (step S14), and the measurement data When the reference value 20 is different (No at Step S13), it is determined that the measured value 10 is abnormal (Step S15).

  The abnormality determination unit 12 performs the above-described processing on each measurement value 10 measured by each sensor 2. And when the measured value 10 of all the sensors 2 installed in the vehicle 1 is determined to be normal, the abnormality detection process is terminated. In addition, when any one of the sensors 2 installed in the vehicle 1 is determined to have an abnormality in the measured value 10, the abnormality cause identifying unit 13 performs an abnormality cause identifying process.

  Next, the abnormality cause identification process according to the present embodiment will be described. FIG. 3 is a flowchart for explaining the abnormality cause identifying process, FIG. 4 is a diagram showing that an abnormality has occurred in the axle portion, and FIG. FIG. 6 is a diagram illustrating that an abnormality has occurred due to a route environment.

  In FIG. 3, when there is a sensor whose measured value 10 is determined to be abnormal in step S <b> 15 of FIG. 2, the abnormality cause identifying unit 13 pays attention to the surrounding sensor 2 and measures the measured value 10 of the surrounding sensor 2. Is normal (step S20, Yes), it is determined that there is an abnormality, failure, or deterioration in the axle portion to which the sensor 2 having the measured value 10 determined to be abnormal is attached (step 21). The determination result is output as information 14 indicating the cause of the abnormality to, for example, a display on the cab.

  Specifically, in FIG. 4, a plurality of sensors 2 a to 2 h are disposed in the vehicle 1 in FIG. 4, and the measured value 10 measured by each sensor 2 a to 2 h is transmitted to the abnormality cause identifying device 4. The Here, when the measured value 10 measured by the sensor 2d indicates an abnormal value, the abnormality cause identifying unit 13 determines that the measured values 10 of the surrounding sensors are 2a, 2b, 2c, 2e, 2f, 2g, and 2h. It is determined whether or not the measured value 10 indicates an abnormal value. When these measured values 10 are normal, the abnormality cause identifying unit 13 determines that an abnormality or the like has occurred in the axle portion to which the sensor 2d is attached.

  If the measured value 10 of the surrounding sensor 2 is not normal in step S20 (step S20, No), the abnormality cause identifying unit 13 checks the distribution state of the mounting position of the sensor 2 indicating the abnormal value in the vehicle 1. When the abnormal value occurs in the entire vehicle (step S22, Yes), it is determined that the abnormality is caused by the route environment (step S23). An abnormality caused by the route environment may be, for example, when traveling on a bridge.

  Hereinafter, specifically, in FIG. 6, a plurality of sensors 2 a to 2 h are arranged in the vehicle 1 as described above. The measured value 10 measured by the sensor 2d not only indicates an abnormal value, but also indicates an abnormal value of the measured values 10 of the surroundings 2a, 2b, 2c, 2e, 2f, 2g, and 2h. In this case, the abnormality cause identifying unit 13 determines that the abnormality is due to the route environment.

  In Step S22, when the abnormal value does not occur in the entire vehicle 1 (No in Step S22), the abnormality cause identifying unit 13 checks whether the abnormal value is generated only on one side of the vehicle. When the abnormal value occurs only on one side of the vehicle 1 (step S24, Yes), the abnormality cause identifying unit 13 determines that the rail in the specific section is abnormal (step S25). The abnormality of the rail in the specific section can be considered, for example, when the rail is cracked or when a part of the rail is missing.

  Specifically, in FIG. 5, as described above, in FIG. 5, the measured value 10 measured by the sensors 2 a, 2 b, 2 c, and 2 d indicates an abnormal value in the vehicle 1, but the sensors 2 e, 2 f The measured value 10 measured at 2 g and 2 h is normal. In this case, the abnormality cause identifying unit 13 determines that the rail in the specific section is abnormal.

  Moreover, in step S24, when the abnormal value has not occurred only on one side of the vehicle 1 (step S24, No), the abnormality cause identifying unit 13 refers to the train information 9 and the train information 9 is abnormal ( Step S26, Yes), it is determined that there is an operation error by the driver, for example, sudden powering or braking operation (step S27). Moreover, when there is no abnormality in the train information 9 (step S26, No), it determines with it being factors other than step S23, step S25, or step S27 mentioned above (step S28).

  In the first embodiment, the aspect of detecting abnormality and identifying the cause of abnormality regarding the vibration of the axle is shown as an example, but other elements, for example, a sensor for measuring temperature, a sensor for detecting abnormal noise, etc. May be mounted on the axle and the same analysis may be performed.

  As described above, the abnormality cause identifying device 4 according to the present embodiment measures the vibration of the device by the sensor 2 mounted on each vehicle 1 of the train that is a moving body, and the reference value 20 Since the abnormality is detected by comparing with the measured value 10 and the range in which the abnormal value is measured is specified, it is possible to immediately specify the cause of the abnormality while traveling. As a result, for example, a crew member can know whether it is an abnormality that has occurred in the vehicle or due to an external factor such as a route environment or a rail, so it can take a calm action depending on the cause of the abnormality. Is possible.

Embodiment 2. FIG.
In Embodiment 1, abnormality detection and abnormality cause identification are performed using a plurality of sensors 2 in one train, but in Embodiment 2, abnormality detection and abnormality cause identification among a plurality of trains are performed. It is possible.

  In this embodiment, the on-board device 7 having the abnormality determination unit 12 and the ground device 30 having the abnormality cause identification unit 13 constitute an abnormality cause identification system, and the abnormal value detected by the abnormality determination unit 12 Is transmitted to the abnormality cause identifying unit 13, and the abnormality cause identifying unit 13 performs the abnormality identifying process between trains (for example, trains A, B, and C shown in FIG. 8) that have traveled the same kilometer. carry out. The storage unit 11 shown in the first embodiment is assumed to be included in the on-board device 7 and will not be described below. Hereinafter, the same parts as those of the first embodiment are denoted by the same reference numerals, description thereof is omitted, and only different parts are described.

  FIG. 7 is a flowchart for explaining an abnormality cause identifying process by the abnormality cause identifying system according to the second embodiment, and FIG. 8 is a diagram for explaining a specific example of an abnormality occurring in a specific train. FIG. 9 is a diagram for explaining a specific example of an abnormality that has occurred due to a driving operation mistake or the like, and FIG. 10 is a diagram for explaining a specific example of an abnormality that has occurred in a route environment or the like.

  The abnormality determination unit 12 performs the abnormality detection process in the first embodiment on the measurement value 10 obtained by the sensor 2, and the detected abnormality value is transmitted to the ground device 30. The abnormality cause identification unit 13 The abnormality specifying process is performed between the trains A, B, and C that have traveled the same kilometer with respect to the detected abnormal value. That is, the abnormality cause identifying unit 13 analyzes the measurement value of the sensor 2 of each train (train) in association with the kilometer distance, and compares the measurement value of each sensor 2 of each train in the same kilometer distance. Determine.

  In FIG. 7, the abnormality cause identifying unit 13 pays attention to the location of the sensor 2 where the abnormality is measured, and measures the sensor 2 at the same position in the same kilometer between different trains (between trains) A, B, and C. When the value is normal (step S30, Yes), it is determined that the abnormality is specific to the train (knitting) in which the abnormality is measured (step S31), and the process proceeds to step S20 in FIG. 3 (step S33).

  Hereinafter, specifically, in FIG. 8, the sensors 2 shown in the first embodiment are arranged in each of the trains A, B, and C (cars 1 to n). Here, when an abnormal value is detected in the third car (abnormal vehicle) of the train B, the abnormality cause identifying unit 13 obtains the measured value 10 in the third car of the train A and the measured value 10 in the third car of the train C. When it is normal (corresponding to Step S30, Yes), it is determined that the abnormality is peculiar to the train B, and the process proceeds to the analysis of the value of the sensor 2 in the train (train) (Step S20). The abnormality that is specific to the train B may be, for example, a mounting failure of a device to which the sensor 2 disposed in the third car of the train B is attached.

  Moreover, in step S30, when the measured value of the sensor 2 at the same position is not normal (step S30, No), the abnormality cause identifying unit 13 determines that the abnormality is over a plurality of trains. Furthermore, the abnormality cause identification unit 13 determines whether the distribution of surrounding abnormal values is the same. When the determinations of the surrounding sensors are not the same between different trains (between trains) (No at Step S34), the abnormality cause identifying unit 13 determines that it is a driving error or other factors (Step S35).

  Specifically, in FIG. 9, for example, when the measured value 10 of the third car of the train B and the train C is abnormal (corresponding to Step S30, No), the abnormality cause identifying unit 13 The cause of the abnormality is specified based on whether or not the measured value 10 of the surrounding vehicle (for example, the second car) is normal. That is, when the measurement value 10 of the second car of the train C is normal, but the measurement value 10 of the second car of the train B is abnormal (corresponding to Step S34, No), the abnormality cause identifying unit 13 Judged as a driving error or other factors.

  In Step S34, when the judgments of surrounding sensors are the same between different trains (between trains) (Yes in Step S34), the abnormality cause identifying unit 13 detects an abnormality caused by an external factor such as a route environment or a rail. Is determined (step S36), and the process proceeds to step S22 in FIG. 3 (step S37).

  Specifically, in FIG. 10, for example, when the measurement value 10 of the third car of the train B and the train C is abnormal (corresponding to step S30, No), the abnormality cause identifying unit 13 The cause of the abnormality is specified based on whether or not the measured value 10 of the surrounding vehicle (for example, the second car) is normal. That is, when the measured values 10 of the second car of the trains B and C are both normal (or abnormal) (corresponding to step S34, No), the abnormality cause identifying unit 13 depends on external factors such as the route environment and rails. Judged to be abnormal.

  In addition, in the said description, although operation | movement of the abnormality cause identification system was demonstrated using three trains, the number of trains is not limited to this. In Step S34, the measurement value 10 of the second car is used as the value of the surrounding sensor. Of course, the measurement value 10 obtained from a vehicle other than the second car can be used.

  As described above, since the abnormality cause identifying system according to the present embodiment performs the abnormality identifying process between trains that have traveled the same kilometer distance, It is possible to identify immediately. As a result, for example, the manager on the ground side can know whether the abnormality is specific to the train where the abnormality occurred, or whether it is due to external factors such as the route environment or rails. It is possible to take immediate action according to the type.

Embodiment 3 FIG.
In the first and second embodiments, the axle abnormality is detected and the cause is identified. In the third embodiment, the temperature of the cooling and heating devices mounted in the vehicle and the vibration of the door closing device are measured. By performing the same analysis as described above, it is possible to detect an abnormality of these devices and identify the cause of the abnormality. Hereinafter, the same parts as those in the first and second embodiments are denoted by the same reference numerals, description thereof is omitted, and only different parts are described.

  FIG. 11 is a flowchart for explaining abnormality cause identification processing by the abnormality cause identification device according to the third embodiment. Hereinafter, description will be made using the abnormality cause identifying device 4 shown in FIG. When there is a sensor 2 for which the measured value 10 is determined to be abnormal, the abnormality cause identifying unit 13 pays attention to the surrounding sensor 2, and when the measured value 10 of the surrounding sensor 2 is normal (step S40, Yes) ), It is determined that there is an abnormality, failure, or deterioration at a location where the sensor 2 having the measured value 10 determined to be abnormal is attached (step S41).

  Specifically, for example, when a temperature abnormality sensor is installed in a cooling device in a train, when the measured value 10 of the temperature sensor for one cooling device shows an abnormal value, the abnormality cause identifying unit 13 determines whether or not the measured value 10 of the surrounding temperature sensor (the temperature sensor applied to another cooling device) indicates an abnormal value. When these measured values 10 are normal, the abnormality cause identifying unit 13 determines that an abnormality or the like has occurred in one cooling device.

  Next, in step S40, when the measured value 10 of the surrounding sensor 2 is not normal (step S40, No), the abnormality cause identifying unit 13 examines the distribution of abnormal values in the vehicle 1, and the abnormal value is the entire vehicle. If it has occurred (step S42, Yes), it is determined that the command propagation device is abnormal (step S43).

  Next, in step S42, when the abnormal value does not occur in the entire vehicle (step S42, No), the abnormality cause identifying unit 13 refers to the train information 9 and the train information 9 is abnormal (step S44). , Yes), it is determined that there is an operation error by the driver, for example, an incorrect temperature setting of the air conditioner (step S45). Moreover, when there is no abnormality in the train information 9 (step S44, No), it determines with it being factors other than step S41 mentioned above, step S43, or step S45 (step S46).

  As described above, the abnormality cause identifying device 4 according to the present embodiment is configured to identify the cause of abnormality with respect to the measurement values 10 of various devices. Therefore, the cooling and heating devices mounted on the train, It is possible to identify whether an abnormality has occurred in a device such as a door closing device, whether an abnormality has occurred in a device that propagates commands to these devices, or is due to other factors . As a result, the train operator can perform a quick recovery operation.

  As described above, the present invention is applicable to an abnormality cause identification device, an abnormality cause identification system, and an abnormality cause identification method that detect an abnormality of a device using a measurement value measured by a moving moving body. In particular, the invention is useful as an invention that can immediately identify the cause of an abnormality that has occurred in a moving moving body.

  1 vehicle, 2 sensor, 4 abnormality cause identification device, 5 network, 7 on-board device, 9 train information, 10 measured value (dynamic value), 11 storage unit, 12 abnormality determination unit, 13 abnormality cause identification unit, 14 abnormality cause , 20 reference values, 30 ground devices, A, B, C trains.

Claims (5)

An on-vehicle device that is applied to a train and manages a dynamic value detected from a device in each vehicle, and a ground device that receives the dynamic value transmitted from the on-vehicle device. An abnormality cause identification system for identifying the cause of an abnormality,
The on-board device is:
It has an abnormality determination unit that collates a predetermined reference value with the dynamic value, and determines whether the dynamic value is normal for each device,
The ground device is
For each train, the dynamic values of the vehicles having the same relative position are compared, and according to the distribution state of the vehicles equipped with the devices whose dynamic values are determined to be abnormal, the cause of the abnormality is Having an abnormality cause identifying unit that identifies whether it is caused by a factor unique to the train or due to factors other than this train and outputs as information indicating the cause of the abnormality,
An abnormal cause identification system characterized by The abnormality cause identifying unit is
The in-vehicle device in which the dynamic value of the in-vehicle device of the first train is abnormal and is a vehicle of two or more second trains different from the first train and the dynamic value is determined to be abnormal 2. When the dynamic value of the in-vehicle device of the vehicle having the same relative position as the vehicle on which the vehicle is mounted is determined to be normal, it is specified that the cause of the abnormality is caused by a factor specific to the first train. The cause identification system described in 1. The abnormality cause identifying unit is
The vehicle in-vehicle device of the first train shows an abnormality and is mounted on the vehicle in-vehicle device which is a vehicle of a second train different from the first train and whose dynamic value is determined to be abnormal. 2. The apparatus according to claim 1, wherein when a dynamic value of an in-vehicle device of a vehicle having the same relative position as the vehicle is determined to be abnormal, the cause of the abnormality is identified as a factor other than the first train. Abnormal cause identification system. The dynamic value is
The value obtained by measuring the vibration of the axle arranged on the carriage, the value obtained by measuring the temperature of the axle arranged on the carriage, and the temperature of the air outlet of the air conditioner are measured. The abnormality cause identification according to any one of claims 1 to 3, wherein the obtained value is any one of a value obtained by measuring a vibration at the time of opening and closing the door closing device. system. An on-vehicle device that is applied to a train and manages a dynamic value detected from a device in each vehicle, and a ground device that receives the dynamic value transmitted from the on-vehicle device. An abnormality cause identification method applicable to an abnormality cause identification system for identifying the cause of an abnormality,
Storing the dynamic value and a predetermined reference value;
A step of comparing the reference value stored in the storing step with the dynamic value and determining whether the dynamic value is normal for each vehicle;
After the determination step, for each train, the dynamic values of the vehicles having the same relative position are compared, and an abnormality occurs according to the distribution state of the vehicles including the devices whose dynamic values are determined to be abnormal. A specific step to determine whether the cause is due to factors specific to the train with this vehicle or to factors other than this train;
An output step of outputting as information indicating the cause of the abnormality identified in the identifying step;
An abnormality cause identifying method characterized by comprising:

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