JP4177154B2 - Moving object abnormality detection system - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a moving body abnormality detection system having a moving body abnormality detection device, and more particularly to a moving body abnormality detection system that includes a measurement device in a moving body and can detect abnormality of the moving body.
[0002]
[Prior art]
As a conventional technique for detecting an abnormality of a moving body, for example, for a train, a plurality of acceleration detection means are provided, and the output values of the respective acceleration detection means are compared, and one of the output values is another output value. In some cases, an abnormality is determined when a certain abnormality occurs in comparison with (see, for example, Patent Document 1). As a result, it is possible to detect abnormal vibrations of the carriage, and if necessary, it is possible to cope with an emergency stop before the train breaks down.
[0003]
In addition, each train is equipped with a measurement device and a radio, and data is collected from the train by a data collection device installed at the station. Based on these data, analysis of train operating conditions, failure diagnosis, etc. are performed. There is something that can be done (see, for example, Patent Document 2). This enables quick failure diagnosis and countermeasures.
[0004]
[Patent Document 1]
JP 2000-6807 A [Patent Document 2]
Japanese Patent Laid-Open No. 2001-30903
[Problems to be solved by the invention]
In the method of detecting an abnormality on the side of a moving body such as a train, for example, it is not possible to detect an abnormality other than an abnormality assumed in advance at the time of train production. In order to be able to detect an abnormality other than an abnormality assumed in advance, it is necessary to analyze the data with the train and detect the abnormality. In that case, since the data analysis process is a complicated and high-load process, there is a problem that a train apparatus requires a high processing performance.
[0006]
In the method of collecting data measured by a moving body such as a train on the ground side and analyzing it on the ground side, data analysis can only be performed after collecting a large amount of measurement data on the ground side. There is a problem of being slow.
[0007]
An object of the present invention is to provide a moving object abnormality detection system that can easily and quickly detect an abnormality that was not assumed at the time of moving object production without arranging a high-performance device on the moving object on the moving object side. It is in.
[0008]
[Means for Solving the Problems]
To achieve the above object, a measuring device, a state data storage medium that stores output values from the measuring device as state data, a wireless device that transmits state data designated from the storage medium, and a ground side It points out the abnormality detection condition storage medium that stores the given abnormality detection, a moving body that includes abnormality detection means that performs abnormality detection according to the conditions stored in the abnormality detection condition storage medium, and necessary state data A terrestrial wireless device that receives data from a mobile object, an abnormal data storage medium that stores the received state data as abnormal data, and a data analysis device that extracts conditions for detecting abnormalities by analyzing the state data Constitute a system.
[0009]
The moving body always stores the output value from the measuring device in the state data storage medium. When it is necessary to analyze the state data of the moving body, such as when a failure occurs while the moving body cannot detect the abnormality, the operator requests the state data from the train, and the abnormality is detected via radio. Data is collected and stored in an abnormal data storage medium. Using the stored abnormality data, a condition for detecting an abnormality before a failure occurs in the data analysis apparatus is extracted. If the abnormality detection condition can be extracted, the extracted abnormality detection condition is prioritized and transmitted to the mobile body via radio. The moving body stores the received abnormality detection conditions in the abnormality detection condition storage medium, and always performs abnormality detection according to the abnormality detection conditions stored in the abnormality detection condition storage medium in order of priority.
[0010]
By configuring the system in this way, the moving body can detect an abnormality other than the abnormality assumed in advance at the time of train production. In addition, it is possible to detect an abnormality only by a light-loading process in which a high-load process of data analysis is performed on the ground side and the moving body detects an abnormality according to conditions. In addition, by setting a priority for abnormality detection, it becomes possible to detect an important abnormality within a limited processing performance without missing it. In addition, when an abnormality detection condition can be extracted from a failure of one moving body, the abnormality detection condition can be quickly notified to the same type of moving body via radio, and a new abnormality detection can be quickly handled. Is possible. By increasing the number of abnormalities that can be detected and responding quickly, it is possible to detect abnormalities before a failure occurs, and to take early measures and operate efficiently.
[0011]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described with reference to the drawings. The case of a system using a train as a moving body is described below.
[0012]
FIG. 1 is a block diagram of the entire train maintenance system of the present invention. Hereinafter, it demonstrates in order according to the flow of the abnormality detection process of a train. The train 101 measures the state of each on-board device and always records the data. When any failure occurs in the train 101, the data analysis device sends a state data request 105 to the train 101 via the ground radio device 103 in order to request the train 101 for data on the state of the on-board equipment. Send to. The train 101 that has received the status data request 105 searches for and retrieves the requested status data, and transmits the status data 104 as status data 104 to the data analysis device 102 via the ground radio device 103.
[0013]
The data analysis device 102 that has received the state data 104 analyzes the received state data, and extracts a condition that can detect an abnormality before a failure occurs. If a condition for detecting an abnormality can be extracted, the data analysis apparatus 102 adds priority to the abnormality detection condition information 107 and transmits it to the train 101 via the ground radio apparatus 103. The priority may be set according to the importance of the abnormality, or may be set so as to increase the priority of the abnormality having a high occurrence probability.
[0014]
The train 101 that has received the abnormality detection condition information 107 updates the abnormality detection logic based on the received abnormality detection condition information 107.
[0015]
The train 101 determines the presence or absence of an abnormality according to the abnormality detection logic, and when an abnormality is detected, the abnormality is detected as abnormality detection information 106 via the ground radio apparatus 103 and the data analysis apparatus 102 and operation management. To device 108. The operation management device 108 performs operation arrangement such as timetable change according to the degree of abnormality that has occurred.
[0016]
By configuring the system as described above, high-load processing called data analysis is performed on the ground side equipment, and on the upper side of the car, abnormalities can be detected before failure by light processing that only detects against the conditions. It becomes possible. Further, every time a failure occurs in the train, a logic for detecting an abnormality that causes the failure in advance is implemented in the train, and the abnormality can be detected early. Furthermore, it becomes possible to take measures such as driving arrangement at an early stage according to the degree of abnormality, and the train can be operated more stably.
[0017]
FIG. 2 is a block diagram of the train 101 of the present invention.
[0018]
The train 101 always takes out the state data from the measuring devices 203 installed in various places by the state data management means 201 and records it in the state data storage medium 202. The status data storage medium 202 is configured using a hard disk, a flash memory, or the like, and may be selected according to the required capacity. The abnormality detection unit 204 always receives the latest state data from the state data management unit, refers to the abnormality detection condition storage medium 206, monitors whether there is state data corresponding to the abnormality detection condition, in order of priority, If there is data to be transmitted, the abnormality detection information 106 is transmitted to the terrestrial wireless device 103 via the wireless communication means 205. The abnormality detection condition storage medium 206 may be configured similarly to the state data storage medium 202. Further, the abnormality detection condition may be in the form of data such as a threshold value or may be stored in the form of a program module.
[0019]
When the wireless communication unit 205 receives the state data request 105 from the terrestrial wireless device 103, the wireless communication unit 205 passes the state data request 105 to the state data management unit 201 and receives the state data request 105. The status data management unit 201 searches the status data storage medium for status data corresponding to the request, creates the status data 104, and transmits the status data 104 to the terrestrial radio apparatus 103 via the radio communication unit 205.
[0020]
When the wireless communication unit 205 receives the abnormality detection condition information 107 from the ground radio apparatus 103, the wireless communication unit 205 passes the abnormality detection condition information 107 to the abnormality detection unit 204. Upon receiving the abnormality detection condition information 107, the abnormality detection means 204 stores the received abnormality detection condition information 107 in the abnormality detection condition storage medium 206 in order of priority, and adds it as an abnormality detection condition.
[0021]
By configuring the train in this way, the train can always store state data and detect anomalies. Furthermore, by making it possible to add an abnormality detection condition, it becomes possible to detect an abnormality that was not assumed at the time of train production.
[0022]
FIG. 3 is a block diagram of the data analysis apparatus 102 of the present invention.
[0023]
When the wireless device communication unit 304 receives the abnormality detection information 106 from the train 101 via the ground wireless device 103, the wireless device communication unit 304 passes the received abnormality detection information 106 to the abnormality information management unit 305. Upon receipt of the abnormality detection information 106, the abnormality information management means 305 stores the received abnormality detection information 106 in the abnormality information storage medium 307. The abnormal information storage medium 307 may be a large-capacity storage medium such as a hard disk. By such processing, when the abnormality detection information 106 is received from the train 101, all the information can be recorded. In addition, when a failure occurs without detecting an abnormality in the train 101, an operator inputs failure information generated in the abnormality information storage medium 307 through the abnormality information management unit 305 as abnormality information. It is set as the structure which can do.
[0024]
The worker refers to the abnormality information recorded in the abnormality information storage medium 307 and requests state data from the train for the abnormality determined to be necessary for data analysis. At this time, the status data request 105 for requesting status data from the train is created by the status data requesting means 306 and passed to the wireless device communication means 304. The wireless device communication unit 304 transmits the state data request 105 to the train 101 via the ground wireless device 103.
[0025]
When the wireless device communication unit 304 receives the state data 104 from the train 101 via the ground wireless device 103, the wireless device communication unit 304 treats the received state data 104 as abnormal data and passes it to the abnormal data management unit 301. The abnormal data management means 301 that has received the abnormal data stores the received abnormal data in the abnormal data storage medium 302. The abnormal data storage medium 302 may be a large-capacity storage medium such as a hard disk.
[0026]
The worker uses the abnormality data storage medium 302 to analyze the abnormality data and extract conditions for detecting an abnormality by the abnormality detection condition extraction unit 303. A commonly used data analysis method may be used to extract the abnormality detection condition. If the abnormality detection condition can be extracted, the abnormality detection condition extraction unit 303 sets the priority, creates the abnormality detection condition information 107, and passes it to the wireless device communication unit 304.
[0027]
The wireless device communication unit 304 that has received the abnormality detection condition information 107 transmits the abnormality detection condition information 107 to the train 101 via the ground wireless device 103.
[0028]
By configuring the data analysis device in this way, when an abnormality that needs to be analyzed occurs in the train, the data at the time of the abnormality is collected from the train, conditions for detecting the abnormality that occurred are extracted, and sent to the train It becomes possible to do.
[0029]
FIG. 4 shows a format of the abnormality detection condition information 107. The abnormality detection condition information 107 has two formats and is used depending on the abnormality detection condition. Items common to the two formats include an abnormality type code and priority. The abnormality type code is a code that is output when an abnormality detection condition is satisfied, and indicates what abnormality the abnormal condition is for detecting. The priority indicates the priority of the abnormality detection condition, and is frequently checked by giving priority to abnormality detection with a high priority.
[0030]
Items other than the error type code vary depending on the format. The first format is a list of numerical values of each measuring device, and shows a combination of measuring devices for detecting an abnormality and a range of values of each measuring device in the form of a lower limit value and an upper limit value. If there is no lower limit or upper limit, enter a code indicating "no value". When there is no lower limit value, it means “below the upper limit value”, and when there is no upper limit value, it means “more than the lower limit value”. It is determined that there is an abnormality when all the measuring devices for which numerical values are set reach a numerical value between the set lower limit value and upper limit value.
[0031]
The second format consists of program modules that detect anomalies. When this program module is executed and the program module outputs an abnormality, it is determined that there is an abnormality.
[0032]
By configuring the abnormality detection condition information as described above, it is possible to detect an abnormality only with a combination of measurement device values if the condition is simple, and create a program module directly when abnormality detection is complicated Thus, it is possible to expand the detection of train abnormalities so that more advanced abnormality detection can be performed.
[0033]
FIG. 5 shows a processing flow of the abnormality detection means 204 in the embodiment of the present invention.
[0034]
In step 501, the processing from step 502 to step 508 is performed for all the abnormality detection condition information 107 recorded in the abnormality detection condition storage medium.
[0035]
In step 502, it is checked whether the abnormality detection condition information is a program module. If it is a program module, the process proceeds to step 503; otherwise, the process proceeds to step 506.
[0036]
In step 503, the program module of the abnormality detection condition information is executed, and the process proceeds to step 504.
[0037]
In step 504, it is checked whether the program module executed in step 503 outputs an abnormality. If an abnormality is output, the process proceeds to step 505. If no abnormality is output, the process returns to step 501.
[0038]
In step 505, the abnormality type code set in the abnormality detection condition information is output as abnormality detection information.
[0039]
In step 506, the values of all measuring devices included in the abnormality detection condition information are checked, and the process proceeds to step 507.
[0040]
In step 507, it is checked whether the values of all the measuring devices checked in step 506 meet the value conditions set in the abnormality detection condition information. If all the conditions are met, the process proceeds to step 508, and if not, the process returns to step 501.
[0041]
In step 508, the abnormality type code set in the abnormality detection condition information is output as abnormality detection information.
[0042]
As described above, this embodiment includes any one of the train 101 that is a moving body, the ground wireless device 102 that is a ground system, the data analysis device 102, and the like, and the measurement device 203 is used as a sensor that detects the state of the train 101. A moving body abnormality detection system having a state data storage medium 202 that is a storage device for storing the output of the measurement device 203, and the ground system inputs the output of the measurement device 203 from the state data storage medium 202, And having an abnormality detection condition extraction function for analyzing and extracting the abnormality detection condition, the train 101 inputs the abnormality detection condition extracted by the ground system, and compares the sensor output with the abnormality detection condition to detect the abnormality of the train 101. It is a system that performs.
[0043]
Similarly, the measurement device 203 as a sensor for detecting the state of the mounted device, the state data storage medium 202 as a storage device for storing the output of the measurement device 203, and the output of the measurement device 203 are output to the ground system. A wireless communication unit 205 that is an input device for inputting an abnormality detection condition extracted by analyzing the output of the measurement device 203 from the ground system, and compares the output of the measurement device 203 and the abnormality detection condition. And it is a moving body which detects abnormality of an installation apparatus according to the said comparison result.
[0044]
Also, the wireless communication means 304 that is an input device that inputs the state of the mounted device from the train 101 that is a moving body and that outputs an abnormality detection condition to the train 101, and the input mounted device state are analyzed. And a data analysis device 102 that is an abnormality detection condition extraction device that extracts abnormality detection conditions.
[0045]
By configuring the system as in this embodiment, it is possible for the train to detect anomalies before various failures occur, and to add types of abnormalities that can be detected. it can. Moreover, the process for the detection can be performed by a light process of performing data analysis, which is a process with a high processing load, on the ground side equipment, and only detecting according to the conditions on the train side, which facilitates implementation.
[0046]
In the present embodiment, the case of a train has been described, but a similar system can be configured for an automobile. However, since there are many types of vehicles in the case of a car, it is necessary to determine which vehicle type the extracted abnormality detection condition is applicable to.
[0047]
【The invention's effect】
As described above, according to the present invention, every time a failure occurs, the data at the time of the failure is analyzed, the condition for detecting the abnormality before the failure occurs is extracted, and the abnormality detection condition is added to the moving object. The mobile body can detect an abnormality before the failure occurs. Since the failure can be detected before the occurrence, the influence on the operation due to the failure is reduced, and the maintenance efficiency of the moving body is increased.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration example of an entire system in an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a configuration example of a train according to an embodiment of the present invention.
FIG. 3 is a block diagram illustrating a configuration example of a data analysis apparatus according to an embodiment of the present invention.
FIG. 4 shows a format of abnormality detection condition information in an embodiment of the present invention.
FIG. 5 shows a processing flow of the abnormality detection means 204 in one embodiment of the present invention.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 101 ... Train, 102 ... Data analysis device, 103 ... Terrestrial radio device, 104 ... State data, 105 ... State data request, 106 ... Abnormality detection information, 107 ... Abnormality detection condition information, 108 ... Operation management device, 201 ... State data Management means 202 ... Status data storage medium 203 ... Measuring device 204 ... Abnormality detection means 205 ... Wireless communication means 206 ... Abnormality detection condition storage medium 301 ... Abnormal data management means 302 ... Abnormal data storage medium 303 ... anomaly detection condition extraction means, 304 ... wireless device communication means, 305 ... anomaly information management means, 306 ... status data request means, 307 ... anomaly information storage medium.

Claims (10)

And a moving body and the ground system, the moving body, the based on the measurement device, a state data storage medium for storing the output value of the measuring device, the output of the measurement value for measuring the state of the mobile An abnormality detecting means for detecting an abnormality of the moving body, and means for wirelessly communicating with the ground system, the ground system collecting, analyzing and recording an output value of the measuring apparatus of the moving body ; A moving object abnormality detection system comprising means for wirelessly communicating with the moving object,
The ground system extracts an abnormality detection condition, which is a condition that allows an abnormality to be detected before a failure occurs , based on the output value of the measurement device of the moving body collected and analyzed by the data analysis device. An anomaly detection condition extracting means for transmitting the extracted anomaly detection condition to the mobile body,
The moving body, the abnormality detecting condition extraction means of the ground system comprises an abnormality detection condition storage medium for storing the extracted the abnormality detection condition, the abnormality detection means is stored in the abnormality detection condition memory medium abnormality detection according to the conditions, mobile abnormality detection system characterized by an abnormality detection of the moving body. The moving object abnormality detection system according to claim 1 ,
A mobile body abnormality detection system in which a priority is added to the abnormality detection condition, and the abnormality detection means detects an abnormality in order from the abnormality detection condition with the highest priority. The moving object abnormality detection system according to claim 1 ,
The data analysis apparatus is a moving object abnormality detection system that collects state data of the moving object before the failure and extracts the abnormality detection condition when a failure of the moving object occurs. The moving object abnormality detection system according to claim 1 ,
A moving object abnormality detection system that wirelessly transmits the abnormality detection condition extracted by the data analysis device to the moving object. The moving object abnormality detection system according to claim 1 ,
A moving object abnormality detection system that uses a combination of output value ranges of the measuring device as the abnormality detection condition. The moving object abnormality detection system according to claim 1 ,
A moving body abnormality detection system using a program module that makes an abnormality determination by referring to an output value of the measurement device as the abnormality detection condition. The moving object abnormality detection system according to claim 1 ,
The moving body abnormality detection system, wherein the moving body is a train. The moving object abnormality detection system according to claim 7 ,
A moving body abnormality detection system that notifies an abnormality detected by the train to a ground side system when an abnormality is detected by the abnormality detection means. The moving object abnormality detection system according to claim 7 ,
A moving body abnormality detection system that, when the train detects an abnormality, notifies the operation management system of the detected abnormality and organizes operation according to the degree of the abnormality. The moving object abnormality detection system according to claim 1 ,
The moving body abnormality detection system, wherein the moving body is an automobile.

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