A real-time fault location method and system for vehicle-mounted monitoring system

Abstract

The present invention relates to a real-time fault location method and system for an on-board monitoring system. The fault location method comprises the following steps: collecting monitoring data; obtaining TCMS messages, extracting the coding time and TCMS data of the TCMS messages; calculating the time difference between the monitoring system and the TCMS system according to the coding time; judging whether the time difference is less than a set value, if it is less than the set value, synchronizing the TCMS data to the alignment time of the monitoring system, otherwise compensating the TCMS data according to the monitoring data; fusing the monitoring data and the TCMS data, and locating the fault according to the fused data. The present invention can improve the accuracy of real-time fault location of the rail transit on-board monitoring system.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit monitoring, and in particular to a real-time fault locating method and system for a vehicle-mounted monitoring system. Background Art

[0002] With the gradual popularization of automated driving in rail transit and the rapid development of intelligent and information technology, a large number of intelligent sensors have been applied to the field of rail transit. By building multi-professional and multi-system data collection, comprehensive monitoring of train operation status information, such as Figure 1 As shown, it is used to ensure the safe operation of urban rail transit, big data prediction and fault analysis, and realize the intelligent operation and maintenance of the entire rail transit system. When the on-board monitoring system is used as a third-level or lower-level subsystem in the TCMS network topology, the train control and management system TCMS (Train Control Management System) on-board synchronization data may be lost due to possible environmental interference, equipment failure, network changes, etc., which will cause real-time fault location errors in the on-board monitoring system. Due to the high dependence of the monitoring system positioning information on different levels of the on-board network and the actual situation of many and complex data interfaces, the on-board monitoring system needs to be improved. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method and system for real-time fault location of an on-board monitoring system, which can improve the accuracy of real-time fault location of the on-board monitoring system of rail transit.

[0004] The technical solution adopted by the present invention to solve the technical problem is: to provide a real-time fault location method for a vehicle-mounted monitoring system, comprising the following steps:

[0005] Collect monitoring data;

[0006] Obtain a TCMS message, and extract the encoding time and TCMS data of the TCMS message;

[0007] Calculate the time difference between the monitoring system and the TCMS system according to the coding time;

[0008] Determine whether the time difference is less than a set value, if so, synchronize the TCMS data to the registration time of the monitoring system, otherwise, compensate the TCMS data according to the monitoring data;

[0009] The monitoring data and the TCMS data are fused, and fault location is performed based on the fused data.

[0010] Furthermore, the TCMS data includes TCMS time data and TCMS mileage data.

[0011] Further, compensating the TCMS data according to the monitoring data includes:

[0012] Extracting anchor segment joint information from the monitoring data;

[0013] The compensation data is obtained by looking up the table according to the anchor segment joint information and the TCMS mileage data is compensated.

[0014] Furthermore, the synchronization of the TCMS data to the registration time of the detection system is achieved through a Lagrange parabola interpolation formula.

[0015] Furthermore, the TCMS data also includes TCMS speed data.

[0016] Furthermore, the Lagrange parabola interpolation formula is:

[0017]

[0018] Among them, t i is the sampling time of the TCMS system, x i ,y i and z i The sampling time t i TCMS time data, TCMS speed data and TCMS mileage data under t ij is the registration moment, L x (t ij )、L y (t ij ) and L z (t ij ) are the TCMS time data, TCMS speed data and TCMS mileage data after registration.

[0019] Furthermore, the registration time of the monitoring system is the sampling time of the monitoring system.

[0020] Furthermore, before the step of collecting monitoring data, the method further includes a step of aligning the initial moments of the various collection modules of the monitoring system.

[0021] The technical solution adopted by the present invention to solve the technical problem is: to provide a real-time fault location system for a vehicle-mounted monitoring system, comprising:

[0022] Perception module, used to collect monitoring data;

[0023] An input module is used to obtain a TCMS message and extract the encoding time and TCMS data of the TCMS message; a registration module is used to calculate the time difference between the monitoring system and the TCMS system according to the encoding time, and then determine whether the time difference is less than a set value. If it is less than the set value, the TCMS data is synchronized to the registration time of the monitoring system through the Lagrange parabola interpolation formula; otherwise, the TCMS data is compensated according to the monitoring data, and the TCMS data includes TCMS time data, TCMS speed data and TCMS mileage data; the Lagrange parabola interpolation formula is:

[0024]

[0025] Among them, t i is the sampling time of the TCMS system, x i ,y i and z i The sampling time t i TCMS time data, TCMS speed data and TCMS mileage data under t ij is the registration moment, L x (t ij )、L y (t ij ) and L z (t ij ) are respectively TCMS time data, TCMS speed data and TCMS mileage data after registration;

[0026] The processing module fuses the monitoring data and the TCMS data, and locates the fault according to the fused data.

[0027] Beneficial Effects

[0028] Due to the adoption of the above-mentioned technical scheme, the present invention has the following advantages and positive effects compared with the prior art: the present invention calculates the time difference between the vehicle-mounted monitoring system and the TCMS system to determine in real time whether the vehicle-mounted synchronization data is lost. If the vehicle-mounted synchronization data is lost, the mileage information corresponding to the anchor segment joint association in the monitoring data is used to perform offline compensation on the TCMS data before data fusion is performed, thereby filtering out real-time fault location errors caused by environmental interference, equipment failure, network changes, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a flow chart of a first embodiment of the present invention;

[0030] Figure 2 1 is a schematic diagram of a system synchronization TCMS positioning information and monitoring data framework according to a first embodiment of the present invention;

[0031] Figure 3 It is a schematic diagram of the data fusion process of the second embodiment of the present invention. DETAILED DESCRIPTION

[0032] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0033] The embodiment of the present invention relates to a real-time fault location method for a vehicle monitoring system, such as Figure 1 As shown, the following steps are included:

[0034] A0 collects monitoring data;

[0035] The front-end acquisition module of the monitoring system uses clock management to control the system's unique reference clock, so that the timestamps of the original collected data of each sensor are consistent at the initial moment.

[0036] Obtain TCMS messages, extract message encoding time and TCMS data, where the TCMS data includes TCMS time data, TCMS mileage data, and TCMS speed data;

[0037] Compare the TCMS message encoding time with the monitoring system's own timestamp, compensate for the transmission layer delay, and periodically calculate and update the time difference between the two systems;

[0038] Determine whether the time difference is less than a set value. If so, synchronize the TCMS data to the registration time of the monitoring system (the sampling time of the monitoring system may be used). Otherwise, compensate the TCMS data according to the monitoring data.

[0039] The monitoring data and the TCMS data are fused, and fault location is performed based on the fused data.

[0040] The monitoring system achieves consistency of sampling frequency at the initial startup in accordance with technical requirements. The sampling frequency is f m The positioning data of the monitoring system is obtained from the train control and management system TCMS (Train Control Management System), and the time, speed and mileage data are obtained from TCMS. The sampling frequency of TCMS is f tAccording to the technical requirements of the train, the sampling frequency of the monitoring system is the registration frequency of the data fusion processing. The time of the monitoring system is initialized by aligning the local time with the TCMS time value obtained when the train starts. When the data obtained from TCMS is normal and there is no synchronization data loss, the Lagrange parabola interpolation method is used to interpolate the TCMS at t i (i=1……n) sampling sequence (time, speed and mileage) Z i =(x i ,y i , z i ) is registered to the monitoring system at registration time t ij (t i <t ij <t i+1 The result after registration is expressed as (x ij ,y ij , z ij ). The specific formula is:

[0041]

[0042] Among them, t i is the sampling time of the TCMS system, x i ,y i and z i The sampling time t i TCMS time data, TCMS speed data and TCMS mileage data under t ij is the registration moment, L x (t ij )、L y (t ij ) and L z (t ij ) are the TCMS time data, TCMS speed data and TCMS mileage data after registration.

[0043] like Figure 2As shown in the figure, due to the high dependence of the monitoring system positioning information on the different levels of the vehicle network, the actual situation with many and complex data interfaces, possible environmental interference, equipment failure, network changes, etc., the train control and management system TCMS (Train Control Management System) on-board synchronization data may be lost, which will cause the real-time fault positioning error of the on-board monitoring system. Therefore, before sampling and matching the TCMS data, the time difference is judged by the set time interval threshold. If the time difference is greater than the time interval threshold, it is considered that the on-board synchronization data is lost. At this time, it is necessary to read the anchor segment joints in the real-time acquisition data of the monitoring system, and associate the corresponding mileage information to compensate the TCMS data offline, and then fuse the monitoring data and TCMS mileage data.

[0044] The embodiment of the present invention relates to a real-time fault location system for a vehicle-mounted monitoring system, comprising:

[0045] Perception module, used to collect monitoring data;

[0046] An input module is used to obtain TCMS messages and extract the encoding time and TCMS data of the TCMS messages;

[0047] The registration module is used to calculate the time difference between the monitoring system and the TCMS system according to the encoding time, and then determine whether the time difference is less than the set value. If it is less than the set value, the TCMS data is synchronized to the registration time of the monitoring system; otherwise, the TCMS data is compensated according to the monitoring data;

[0048] The processing module fuses the monitoring data and TCMS data and locates the fault based on the fused data.

[0049] The data fusion process is as follows Figure 3 As shown in the figure, the front-end acquisition module of the monitoring system uses clock management to manage the unique reference clock of the system, and the timestamps of the original data collected by each sensor are consistent at the initial moment. According to the technical requirements, the monitoring system achieves consistency in sampling frequency in the early stage of research and development. The sampling frequency of TCMS is f t According to the technical requirements of the train, the sampling frequency of the monitoring system is the registration frequency of the data fusion processing. The time of the monitoring system is initialized by aligning the local time with the TCMS time value obtained when the train starts. When the data obtained from TCMS is normal and there is no synchronization data loss, the Lagrange parabola interpolation method is used to interpolate the TCMS at t i (i=1……n) sampling sequence (time, speed and mileage) Z i =(x i ,y i , z i) is registered to the monitoring system at registration time t ij (t i <t ij <t i+1 The result after registration is expressed as (x ij ,y ij , z ij )express:

[0050]

[0051] Due to possible environmental interference, equipment failure, network changes and other reasons, the on-board synchronization data of the train control and management system TCMS (Train Control Management System) may be lost, which will cause real-time fault location errors in the on-board monitoring system. Therefore, before sampling and matching the TCMS data, the present invention first judges by the time difference and the set time interval threshold. If the time difference is greater than the time interval threshold, the anchor segment joint in the real-time acquisition data of the monitoring system is read, and the corresponding mileage information is associated to compensate the TCMS data offline, and then the monitoring data and TCMS mileage data are fused.

Claims

1. A real-time fault location method for a vehicle-mounted monitoring system, characterized in that: The following steps are involved: Collect monitoring data; Obtain a TCMS message, and extract the encoding time and TCMS data of the TCMS message; Calculate the time difference between the monitoring system and the TCMS system according to the coding time; Determine whether the time difference is less than a set value. If so, synchronize the TCMS data to the registration time of the monitoring system through the Lagrange parabola interpolation formula. Otherwise, compensate the TCMS data according to the monitoring data. The TCMS data includes TCMS time data, TCMS speed data, and TCMS mileage data. The Lagrange parabola interpolation formula is: Among them, t i is the sampling time of the TCMS system, x i ,y i and z i The sampling time t i TCMS time data, TCMS speed data and TCMS mileage data under t ij is the registration moment, L x (t ij )、L y (t ij ) and L z (t ij ) are respectively TCMS time data, TCMS speed data and TCMS mileage data after registration; The monitoring data and the TCMS data are fused, and fault location is performed based on the fused data.

2. The method according to claim 1, characterized in that The compensating the TCMS data according to the monitoring data includes: Extracting anchor segment joint information from the monitoring data; The compensation data is obtained by looking up the table according to the anchor segment joint information and the TCMS mileage data is compensated.

3. The method according to claim 1, characterized in that The registration time of the monitoring system is the sampling time of the monitoring system.

4. The method according to claim 1, characterized in that: Before the step of collecting monitoring data, the method further includes aligning the initial moments of the various collection modules of the monitoring system.

5. A real-time fault location system for a vehicle-mounted monitoring system, characterized in that: include: Perception module, used to collect monitoring data; An input module, used to obtain a TCMS message and extract the encoding time and TCMS data of the TCMS message; The registration module is used to calculate the time difference between the monitoring system and the TCMS system according to the encoding time, and then determine whether the time difference is less than the set value. If it is less than the set value, the TCMS data is synchronized to the registration time of the monitoring system through the Lagrange parabola interpolation formula; otherwise, the TCMS data is compensated according to the monitoring data. The TCMS data includes TCMS time data, TCMS speed data and TCMS mileage data; the Lagrange parabola interpolation formula is: Among them, t i is the sampling time of the TCMS system, x i ,y i and z i The sampling time t i TCMS time data, TCMS speed data and TCMS mileage data under t ij is the registration moment, L x (t ij )、L y (t ij ) and L z (t ij ) are respectively TCMS time data, TCMS speed data and TCMS mileage data after registration; The processing module fuses the monitoring data and the TCMS data, and locates the fault according to the fused data.

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