WO2020078137A1 - 一种铁路信号系统故障智能分析的平台 - Google Patents

一种铁路信号系统故障智能分析的平台 Download PDF

Info

Publication number
WO2020078137A1
WO2020078137A1 PCT/CN2019/104359 CN2019104359W WO2020078137A1 WO 2020078137 A1 WO2020078137 A1 WO 2020078137A1 CN 2019104359 W CN2019104359 W CN 2019104359W WO 2020078137 A1 WO2020078137 A1 WO 2020078137A1
Authority
WO
WIPO (PCT)
Prior art keywords
ground
data
fault
analysis method
signal system
Prior art date
Application number
PCT/CN2019/104359
Other languages
English (en)
French (fr)
Inventor
何丹
闫友为
燕翔
Original Assignee
北京全路通信信号研究设计院集团有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京全路通信信号研究设计院集团有限公司 filed Critical 北京全路通信信号研究设计院集团有限公司
Priority to EP19780132.7A priority Critical patent/EP3666621A4/en
Publication of WO2020078137A1 publication Critical patent/WO2020078137A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00—Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0081—On-board diagnosis or maintenance
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/34—Control, warning or like safety means along the route or between vehicles or trains for indicating the distance between vehicles or trains by the transmission of signals therebetween
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/70—Details of trackside communication
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G05B23/0278—Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/24—Pc safety
    • G05B2219/24065—Real time diagnostics

Definitions

  • the invention relates to the field of railway signal failure analysis, and in particular to an analysis method of a railway signal system failure intelligent analysis platform.
  • GSM-R railway integrated dispatch mobile communication system
  • vehicle-mounted subsystem ground subsystem
  • other management subsystems such as GSM-R network.
  • GSM-R railway integrated dispatch mobile communication system
  • Each subsystem will be divided into multiple modules to collect various data of track and train operation, which can realize real-time monitoring of track road conditions and driving status, ensure the safety of train operation, and improve the efficiency of track use.
  • the professional monitoring data in the existing communication system are independent of each other and lack of sharing, so it is impossible to conduct a comprehensive analysis and comparison of the monitored data.
  • the monitoring data in the subsystem associated with the fault can only be manually downloaded, and the monitoring data is analyzed by human experience, and the processing efficiency is low. And with the continuous growth of monitoring data, it has gradually failed to meet various requirements for operation, maintenance and troubleshooting.
  • high-speed railway vehicles need to send dynamic transponder message information through the ground equipment to the transponder equipment (fixed in the middle of the rail).
  • the vehicle passes the transponder equipment, it will obtain the message information and perform speed control according to the message information.
  • the ground equipment sends out the message information, it cannot be confirmed whether the vehicle can normally perform according to the message information, and the vehicle cannot confirm whether the message information is normally sent by the ground equipment (there may be equipment failure in the middle).
  • the existing system only the equipment information on both sides can be monitored through the ground or the vehicle, and closed-loop monitoring cannot be achieved.
  • the present invention provides a platform for intelligent analysis of the failure of the railway signal system.
  • An analysis method for an intelligent analysis platform of a railway signal system failure includes:
  • the source of the abnormal information data is found.
  • the historical fault characteristics include faults in which the communication quality between the train and the ground is degraded, the communication times out, and the communication is interrupted.
  • the diagnostic feature sequence includes retransmission frames, invalid data, and disconnection frames.
  • the vehicle information and ground information are obtained by extracting the transmission data of the vehicle information and the reply data of the ground information through the response time of the vehicle and the ground equipment .
  • the automatic analysis method is: adopting a frame-by-frame analysis method for the obtained vehicle information data and ground information data.
  • the historical fault feature includes that the key parameter in the source message received by the train is abnormal.
  • the diagnostic feature sequence includes that the key parameter is displayed as 253, 0, and 252.
  • the vehicle information and ground information are obtained by extracting the key parameter of the message at the sending end and the receiving end through the sending path of the message.
  • the automatic analysis method is to perform data analysis by a closed-loop comparison of the key parameter of the message at the sending end and the key parameter of the receiving end
  • An intelligent analysis system for railway signal system failure wherein the analysis system includes:
  • a diagnostic unit for diagnosing one or more of the faults that meet the specific conditions of the diagnostic characteristic sequence
  • Extraction unit for obtaining vehicle information data and ground data
  • An analysis unit for analyzing the acquired vehicle information data and ground information data
  • An identification unit used to mark the source of abnormal information data.
  • vehicle data and ground data can be automatically extracted according to the fault characteristics, and the professional monitoring data of each module in the railway signal system can be shared, and the extracted vehicle-ground integrated analysis and vehicle-ground closed-loop analysis can be used
  • the data is compared and analyzed to realize the comprehensive analysis of the vehicle and ground information, which is convenient for quickly identifying the cause and location of the fault, and effectively realizes the intelligent diagnosis of the fault of the railway signal system.
  • FIG. 1 shows a basic flowchart of intelligent analysis of railway signal system failures according to the present invention
  • Figure 2 shows a diagram of on-board message sending paths and message parameters representing the cause of failure.
  • FIG. 1 shows a basic flow chart of intelligent analysis of railway signal system failures according to the present invention.
  • the platform of this embodiment will record the fault features that have occurred.
  • the historical fault features include: 1.
  • the faults with poor communication quality between the train and the ground include communication quality degradation, communication timeout, and communication interruption; 2.
  • the train receives an abnormal fault in a key parameter in the source message sent by the ground equipment.
  • the diagnosis feature sequence of the fault is formed according to the historical fault feature, and different faults will form different diagnosis feature sequences:
  • the failure of the communication quality between the train and the ground equipment is due to the ground equipment sending repeated data frames to the vehicle; the failure of the communication timeout between the train and the ground is due to the train equipment sending a large number of invalid data frames to the ground equipment; The failure of ground equipment communication interruption is due to the ground equipment sending disconnected data frames.
  • the characteristic sequences with poor communication quality are: retransmitted frames, invalid data frames, and disconnected frames.
  • the key parameter of the source message received by the train is displayed as 253, which is due to the communication between the train control center and the interlock in the message transmission path Interruption or temporary speed limit is not initialized; the key parameter of the source message received by the train is displayed as 0, which is due to a problem with the equipment between the communication board and the electronic unit in the message transmission path; the train receives the source message.
  • the parameter is displayed as 252, because the cable from the electronic unit of the ground equipment to the vehicle-mounted equipment in the message transmission path is damaged.
  • the characteristic sequence in which the key parameter in the source message received by the train is abnormal is: the key parameter is displayed as 253, the key parameter is displayed as 0, and the key parameter is displayed as 252.
  • the faults can be diagnosed according to the characteristics of the faults and one or more specific conditions in the feature sequence match, and vehicle information data and ground information data can be obtained according to the specific conditions.
  • the acquisition methods of vehicle information and ground information include: 1. Data extraction of vehicle information transmission data and ground information reply data through the response time of the vehicle and ground equipment; 2. Extraction of the sending end and reception through the transmission path of the message Key parameters of the message at the end.
  • the automatic analysis methods include: 1. Perform frame-by-frame analysis on the obtained vehicle information data and ground information data; 2. Report to the sending end The key parameters of the document and the key parameters of the receiving end are analyzed in a closed-loop comparison manner.
  • Embodiment 1 During the operation of the vehicle, the communication quality between the vehicle and the ground equipment is not good. Check the log of the wireless block center (RBC) in the ground equipment.
  • the log records are as follows:
  • the information data in the RBC log and the record data on the train equipment side are extracted according to the response time of the train and RBC.
  • the obtained RBC record information and train protection system record information are organized as follows:
  • the platform of this embodiment obtains vehicle information data and ground information data according to the occurrence of the fault, and then confirms the cause of the fault by frame-by-frame analysis of the data frames in the ground log and the vehicle log, and can quickly locate the fault after finding the cause of the fault Location to realize the integrated analysis of vehicle information and ground information by the platform of this embodiment.
  • the existing train when the existing train receives the message sent by the host of the train control center, it needs to be transmitted to the ground electronic unit (LEU) through the communication board of the train control center (CI-TIU), and then transmitted to the train by the LEU.
  • the key parameter M-MCOUNT in the message received by the train can be used to determine the cause of the failure, but since the ground can only detect whether the message of the host of the control center is normally sent, the message received by the train
  • the M-MCOUNT parameter is displayed abnormally, the ground equipment cannot confirm the specific location of the fault in the message transmission process, so the fault cannot be located.
  • the platform of this embodiment obtains the ATP vehicle-side transponder information by accessing the DMS system at the central server of the railway model system, and can simultaneously obtain the message sender information and the message receiver information to form a closed-loop comparison and quickly analyze the fault
  • the location is specified by the following situations:
  • the platform of this embodiment detects that the key parameters in the message received by the train are abnormal, and it prompts that the transmission path of the message is faulty.
  • the platform of this embodiment will extract the sender and the message according to the transmission path of the message.
  • the cause of the failure is that the communication between the train control center and the interlock is interrupted or the temporary speed limit is not initialized. That is, the cause of the abnormality is caused by ground equipment, which can quickly guide maintenance personnel to repair the faulty equipment.
  • the message of the host of the train control center is normally sent.
  • the cause of the failure is a problem in the transmission channel between the TIU board and the LEU. Since the channel facilities between the TIU board and the LEU belong to the ground maintenance area, you can use the analysis results of the implementation platform and the vehicle information to locate the specific location of the fault, which is convenient for guiding maintenance personnel to quickly solve the problem.
  • the platform of this embodiment can simultaneously compare the information of the receiving end and the information of the sending end of the message to realize closed-loop analysis of ground information and vehicle information, which is convenient for quickly finding the fault location in the message transmission path.
  • the recording unit will record the historical fault characteristics; the generation unit will generate a diagnostic feature sequence of the fault according to the fault characteristics; after entering the current fault, the diagnostic unit will be based on the fault and the type of fault
  • the diagnostic feature sequence of the comparison is compared to obtain the characteristics of the fault; the ground information and vehicle information associated with the fault are obtained according to the characteristics of the fault; the analysis unit will analyze the ground information and vehicle information; the identification unit will Mark the abnormal data analyzed by the analysis unit; the user will know the specific location of the fault according to the source of the abnormal data, and obtain the specific cause of the fault.
  • the platform of this embodiment can obtain vehicle information and ground information according to the occurred fault, perform an integrated analysis on the vehicle information and ground information, and quickly find the cause of the fault. And it can compare the information of the sender of the message with the information of the receiver of the message according to the abnormal failure of the message to achieve closed-loop analysis.
  • the railway signal system failure intelligent analysis platform of the present invention implements the comprehensive analysis function of the vehicle-ground information data, solves the cause of the failure generated when the railway signal system is in operation, quickly locates the failure location, and saves maintenance costs.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Quality & Reliability (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

一种铁路信号系统故障智能分析平台的分析方法，分析方法包括：记录历史故障特征，根据历史故障特征形成故障的诊断特征序列，根据特征序列来诊断所发生故障符合诊断特征序列中具体条件的一个或多个，根据具体条件获取车辆信息数据和地面数据，自动分析车辆信息数据和地面信息数据，发现异常信息数据的来源。有益效果：能够根据故障特征自动提取车辆数据与地面数据，帮助使用者快速明确故障原因和故障地点。

Description

一种铁路信号系统故障智能分析的平台
本申请要求在2018年10月19日提交中国专利局、申请号为201811222170.9的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本发明涉及铁路信号故障分析领域，具体涉及一种铁路信号系统故障智能分析平台的分析方法。
背景技术
铁路列车的高速、安全运行，除了需要良好的铁路基础线路和列车状态外，还需要铁路信号系统的信息传输和列车运行的信息传输。我国现有的轨道信号系统采用铁路综合调度移动通信系统(GSM-R)，包括车载子系统、地面子系统和GSM-R网络等其他管理子系统。各子系统会分为多个模块进行采集轨道和列车运行的多种数据，能够实现实时监测轨道路况和行车状态，保障列车运行的安全性，提高轨道使用效率。
但是现有的通信系统内各专业监测数据相互独立，缺乏共享，无法对监测到数据进行全面分析和比对。导致信号系统发送故障时，只能采用人工下载与故障相关联的子系统内监测数据，并且由人工经验完成监测数据的分析，处理效率低下。并且随着监测数据的不断增长，已逐渐不能满足运营维护和故障处理的各种要求。
并且，高速铁路车辆行驶时需要通过地面设备发送动态的应答器报文信息给应答器设备(固定在铁轨中间)，车辆在通过应答器设备时会获取报文信息，根据报文信息进行速度控制、继续行驶或停止等操作。然而地面设备发出报文信息后无法确认车辆是否能正常按照报文信息执行，车辆也无法确认报文信息是否是地面设备正常发送的(中间存在设备故障的可能)。既有系统中仅能通过地面或车辆单独监测两侧的设备信息，无法实现闭环监测。
发明内容
为了解决现有技术中信号系统各监测数据难以全面共享、自动分析的技术问题，本发明提供了一种铁路信号系统故障智能分析的平台。
一种铁路信号系统故障智能分析平台的分析方法，所述分析方法包括：
记录历史故障特征；
根据所述历史故障特征形成该故障的诊断特征序列；
根据所述特征序列来诊断所发生故障的异常数据符合所述诊断特征序列中具体条件的一个或多个；
根据所述具体条件获取车辆信息数据和地面数据；
自动分析所述车辆信息数据和地面信息数据；
发现所述异常信息数据的来源。
进一步地，所述历史故障特征包括，列车与地面之间通信质量下降、通信超时和通信中断的故障。
进一步地，所述历史故障特征为列车与地面之间通信不佳时，所述诊断特征序列包括重传帧、无效数据和连接断开帧。
进一步地，所述历史故障特征为列车与地面之间通信不佳时，所述车辆信息和地面信息的获取方式为通过车辆与地面设备的应答时间提取车辆信息的发送数据和地面信息的回复数据。
进一步地，所述历史故障特征为列车与地面之间通信不佳时，所述自动分析的方式为：对获取的车辆信息数据和地面信息数据采用逐帧分析的方式。
进一步地，所述历史故障特征包括，列车接收到源报文中的关键参数显示异常。
进一步地，所述关键参数显示异常时，所述诊断特征序列包括，所述关键参数显示为253、0和252。
进一步地，所述关键参数显示异常时，所述车辆信息和地面信息的获取方式为：通过报文的发送路径提取发送端和接收端的报文关键参数。
进一步地，所述关键参数显示异常时，所述自动分析的方式为对所述发送端的报文关键参数和所述接收端的关键参数进行闭环对比的方式进行数据分析
一种铁路信号系统故障智能分析系统，其中，所述分析系统包括：
用于记录历史故障特征的记录单元；
用于生成故障诊断特征序列的生成单元；
用于诊断所发生故障符合诊断特征序列具体条件中的一个或多个的诊断单元；
用于获取车辆信息数据和地面数据的提取单元；
用于分析获取的车辆信息数据和地面信息数据的分析单元；
用于标记异常信息数据来源的标识单元。
通过本发明的分析方法，能够根据故障特征自动提取车辆数据与地面数据，实现铁路信号系统内各模块专业监测数据的共享，并且采用车地一体化分析和车地闭环分析的方式对所提取的数据进行对比分析，实现车地信息的综合分析，便于快速明确故障原因和故障地点，有效实现了铁路信号系统故障诊断的智能化。本发明的其它特征和优点将在随后的说明书中阐述，并且，部分地从说明书中变得显而易见，或者通过实施本发明而了解。本发明的目的和其他优点可通过在说明书、权利要求书以及附图中所指出的结构来实现和获得。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1示出了根据本发明对铁路信号系统故障智能分析的基本流程图；
图2示出了车载报文发送路径和报文参数代表故障原因图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地说明。显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
图1示出了根据本发明对铁路信号系统故障智能分析的基本流程图。如图所示，本实施例平台会记录已经发生过的故障特征，历史故障特征包括：1、列车与地面之间通信质量不佳的故障具体包括通信质量下降、通信超时和通信中断；2、所述列车接收到地面设备发送的源报文中关键参数发生异常的故障。
根据所述历史故障特征形成该故障的诊断特征序列，不同的故障会形成不同的诊断特征序列：
1、对于列车与地面设备之间通信质量下降的故障是由于地面设备向车辆发送重复的数据帧；列车与地面之间通信超时的故障是由于列车设备向地面设备发送大量无效数据帧；列车与地面设备通信中断的故障，是由于地面设备发送断开连接的数据帧。这些故障原因构成了地面设备与列车信息之间通信质量不佳的特征序列。
即通信质量不佳的特征序列为：重传帧、无效数据帧、连接断开帧。
2、对于列车接收到地面设备发送源报文中的关键参数发生异常，有以下情形：列车接收到源报文关键参数显示为253，是由于报文传递路径中的列控中心与联锁通信中断或者临时限速未初始化；列车接收到源报文关键参数显示为0，是由于报文传递路径中的通信板卡至电子单元之间的设备出现问题发生故障；列车接收到源报文关键参数显示为252，是由于报文传递路径中地面设备的电子单元至车载设备的电缆损坏。
即列车接收到源报文中的关键参数发生异常的特征序列为：关键参数显示为253、关键参数显示为0和关键参数显示为252。
对于列车运行过程中所发生的故障，可以根据所发生故障的特征来诊断故障与特征序列中的一个或多个具体条件相符合，在根据该具体条件获取车辆信息数据和地面信息数据。所述车辆信息和地面信息的获取方式包括：1、通过车辆与地面设备的应答时间进行数据提取车辆信息的发送数据和地面信息的回复数据；2、通过报文的发送路径提取发送端、接收端的报文关键参数。
对获取的车辆信息数据和地面信息数据进行自动分析，自动分析的方式包括：1、对获取的车辆信息数据和地面信息数据采用逐帧分析的方式进行数据分析；2、对所述发送端的报文关键参数和所述接收端的关键参数进行闭环对比的方式进行数据分析。
实施例1，车辆运行过程中，车辆与地面设备的通信质量不佳，在地面设备中查看无线闭塞中心(RBC)的日志，日志记录如下表：
序号 时间 日志类型 事件标识
8259 2018-01-23 20:05:17 stpdatatotrain 0
8261 2018-01-23 20:05:18 stpdisconnectind 0
8283 2018-01-23 20:05:30 stpconnectind 0
由上表可知，在20:05:18时RBC向链路层发送过断开连接帧。
对于发现断开连接帧的具体原因，则根据该列车与RBC的应答时间提取RBC日志中的信息数据和列车设备端的记录数据。获取的RBC记录信息和列车防护系统记录信息，整理如下表：
Figure PCTCN2019104359-appb-000001
Figure PCTCN2019104359-appb-000002
列车在20:00:16向RBC发送了消息，20:01:26 RBC接收到列车消息，与列车建立连接开始正常通话，20:05:17 RBC接收到列车的位置报告M136，并且回复列车M24，20:05:18 RBC与列车断开连接，同时列车接收到RBC发送的24,20:05:20列车发出DISC:B即发起DI断开连接，直到20:05:30 RBC与列车再次建立连接。
对获取的车辆信息和地面信息进行逐帧分析，发现RBC一直正常通信，回复消息，RBC端处理正常。车载ATP端开始与RBC正常通话，但中途ATP端发起DI断开连接，导致RBC与列车之间的联系断开。由此，该车辆与地面通信发生断开的原因是车载ATP端断开连接。
本实施例平台根据所发生的故障获取车辆信息数据和地面信息数据，再通过对地面日志和车载日志中数据帧的逐帧分析来确认所发故障的原因，找到故障原因后能够快速定位故障发生地点，实现本实施例平台对车辆信息和地面信息一体化分析。
如图2所示，现有的列车接收列车控制中心主机发送的报文时，需要经过列车控制中心通信板(CI-TIU)传递给地面电子单元(LEU)，再由LEU传递给列车。此过程中，若发生故障，可以根据列车接收到报文中的关键参数M-MCOUNT进行判断故障原因，但是由于地面只能检测到控制中心主机的报文 是否正常发送，列车接收到的报文M-MCOUNT参数显示异常时，地面设备无法确认报文传递过程中的故障发生具体地点，导致故障无法定位。本实施例平台通过在铁路型号系统的中心服务器接入DMS系统获得ATP车载侧的应答器信息，可以将报文发送端信息与报文接收端信息进行同时获取，形成闭环对比，快速分析出故障地点，由以下情形进行具体说明：。
情形一，本实施例平台监测到列车接收到的报文中关键参数显示异常，则提示报文传输路径出现故障，本实施列平台会依据该报文的传递路径，提取该报文发送端与接收端的数据：报文发送端即地面列车中心主机发送的报文中关键参数M-MCOUNT＝255；报文接收端车载设备中接收到的报文中关键参数M-MCOUNT＝253。
对接收端和发送端的报文关键参数对比后，得出列控中心主机的报文正常发送，故障原因是列控中心与联锁通信中断或者临时限速未初始化。即该异常的原因是地面设备导致，能够快速指导维护人员对故障设备进行维修。
情形二，列车接收到的报文中关键参数显示异常后，本实施列平台获取到报文发送端即地面列车中心主机发送的报文中关键参数M-MCOUNT＝255，报文接收端即车载设备中接收到的报文中关键参数M-MCOUNT＝0。
对接收端和发送端的报文关键参数对比后，得出列控中心主机的报文正常发送，故障原因是TIU板卡至LEU之间传输通道出现问题。由于TIU板卡至LEU之间的通道设施均归属于地面维护区，可以通过本实施平台的分析结果，结合车辆信息定位故障发生的具体地点，便于指导维护人员快速解决故障问题。
通过情形一和情形二，本实施例平台能够对报文的接收端信息和发送端信息进行同时比对，实现地面信息和车辆信息的闭环分析，便于快速发现报文传递路径中的故障地点。
本实施例平台工作时，记录单元会对历史故障特征进行记录；生成单元会根据故障特征生成该故障的诊断特征序列；输入当前发生的故障后，诊断单元会依据所发生的故障与该种故障的诊断特征序列进行比对，得出所发故障的特征；提取根据所发故障的特征获取与该故障相关联的地面信息和车辆信息；分析单元会对地面信息和车辆信息进行分析；标识单元会标记出分析单元分析出的异常数据；使用者会根据异常数据的来源了解故障发生的具体位置，得出故障发生的具体原因。
综上，本实施例平台能够根据所发生的故障获取车辆信息和地面信息，对车辆信息和地面信息进行一体化分析，快速发现故障原因。并且能够根据报文异常的故障将报文发送端信息与报文接收端信息进行比对，实现闭环分析。实 现了本发明铁路信号系统故障智能分析的平台对车地信息数据进行综合分析的功能，解决铁路信号系统运行时产生的故障原因，快速定位故障地点，节约维护成本。
尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。

Claims (10)

  1. 一种铁路信号系统故障智能分析平台的分析方法，其中，所述分析方法包括：
    记录历史故障特征；
    根据所述历史故障特征形成该故障的诊断特征序列；
    根据所述特征序列来诊断所发生故障的异常数据符合所述诊断特征序列中具体条件的一个或多个；
    根据所述具体条件获取车辆信息数据和地面数据；
    自动分析所述车辆信息数据和地面信息数据；
    发现所述异常信息数据的来源。
  2. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其中，
    所述历史故障特征包括，列车与地面之间通信质量下降、通信超时和通信中断的故障。
  3. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其中，
    所述历史故障特征为列车与地面之间通信不佳时，所述诊断特征序列包括重传帧、无效数据和连接断开帧。
  4. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其中，
    所述历史故障特征为列车与地面之间通信不佳时，所述车辆信息和地面信息的获取方式为通过车辆与地面设备的应答时间提取车辆信息的发送数据和地面信息的回复数据。
  5. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其中，
    所述历史故障特征为列车与地面之间通信不佳时，所述自动分析的方式为：对获取的车辆信息数据和地面信息数据采用逐帧分析的方式。
  6. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其中，
    所述历史故障特征包括，列车接收到源报文中的关键参数显示异常。
  7. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其 中，
    所述关键参数显示异常时，所述诊断特征序列包括，所述关键参数显示为253、0和252。
  8. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其中，
    所述关键参数显示异常时，所述车辆信息和地面信息的获取方式为：通过报文的发送路径提取发送端和接收端的报文关键参数。
  9. 根据权利要求1所述的铁路信号系统故障智能分析平台的分析方法，其中，
    所述关键参数显示异常时，所述自动分析的方式为对报文发送端的报文关键参数和报文接收端的关键参数进行闭环对比的方式进行数据分析。
  10. 一种铁路信号系统故障智能分析平台的系统，其中，所述分析平台的系统包括：
    用于记录历史故障特征的记录单元；
    用于生成故障诊断特征序列的生成单元；
    用于诊断所发生故障符合诊断特征序列具体条件中的一个或多个的诊断单元；
    用于获取车辆信息数据和地面数据的提取单元；
    用于分析获取的车辆信息数据和地面信息数据的分析单元；
    用于标记异常信息数据来源的标识单元。
PCT/CN2019/104359 2018-10-19 2019-09-04 一种铁路信号系统故障智能分析的平台 WO2020078137A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP19780132.7A EP3666621A4 (en) 2018-10-19 2019-09-04 INTELLIGENT ANALYSIS PLATFORM FOR RAILWAY SIGNAL SYSTEMS FAILURES

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811222170.9A CN111077871B (zh) 2018-10-19 2018-10-19 一种铁路信号系统故障智能分析的平台
CN201811222170.9 2018-10-19

Publications (1)

Publication Number Publication Date
WO2020078137A1 true WO2020078137A1 (zh) 2020-04-23

Family

ID=70283239

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/104359 WO2020078137A1 (zh) 2018-10-19 2019-09-04 一种铁路信号系统故障智能分析的平台

Country Status (3)

Country Link
EP (1) EP3666621A4 (zh)
CN (1) CN111077871B (zh)
WO (1) WO2020078137A1 (zh)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114717891A (zh) * 2022-03-31 2022-07-08 广州南科铁路器材有限公司 一种铁路提速道检修的施工方法
CN114996258A (zh) * 2022-06-23 2022-09-02 中铁第四勘察设计院集团有限公司 一种基于数据仓库的接触网故障诊断方法
CN115901299A (zh) * 2023-02-15 2023-04-04 慧铁科技有限公司 一种列车车钩钩缓部件故障分析处理的方法

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111782430A (zh) * 2020-06-22 2020-10-16 联想(北京)有限公司 一种处理方法、处理装置及电子设备
CN114348051B (zh) * 2022-01-10 2024-01-19 北京全路通信信号研究设计院集团有限公司 一种车载系统运维诊断方法及系统

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103345207A (zh) * 2013-05-31 2013-10-09 北京泰乐德信息技术有限公司 一种轨道交通监控数据的挖掘分析与故障诊断系统
CN104683413A (zh) * 2013-11-28 2015-06-03 北车大连电力牵引研发中心有限公司 列车数据传输系统
CN105159283A (zh) * 2015-09-02 2015-12-16 南京南车浦镇城轨车辆有限责任公司 城市轨道交通车辆远程故障分析与反馈系统
CN105306574A (zh) * 2015-11-04 2016-02-03 株洲南车时代电气股份有限公司 远程下载列车运行监控记录文件的方法
EP2990295A1 (en) * 2014-08-27 2016-03-02 Hitachi, Ltd. Vehicle control system
CN206086764U (zh) * 2016-07-29 2017-04-12 河南蓝信软件有限公司 车地信息综合监测分析系统

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6301531B1 (en) * 1999-08-23 2001-10-09 General Electric Company Vehicle maintenance management system and method
DE60126859T2 (de) * 2000-04-27 2008-01-31 Ntt Docomo Inc. Zellularen Telefon mit Fehlerfeststellungsverfahren und Fehlerfeststellungsgerät
CN102139700B (zh) * 2010-02-01 2013-07-17 同济大学 一种轨道交通的车辆工况在线监测系统
CN103760901B (zh) * 2013-12-31 2016-06-29 北京泰乐德信息技术有限公司 一种基于关联规则分类器的轨道交通故障识别方法
CN103745229A (zh) * 2013-12-31 2014-04-23 北京泰乐德信息技术有限公司 一种基于svm的轨道交通故障诊断方法及系统
CN103714383B (zh) * 2014-01-09 2017-03-22 北京泰乐德信息技术有限公司 一种基于粗糙集的轨道交通故障诊断方法和系统
CN105045256B (zh) * 2015-07-08 2018-11-20 北京泰乐德信息技术有限公司 基于数据对比分析的轨道交通实时故障诊断方法和系统
KR101895424B1 (ko) * 2016-09-27 2018-10-24 (주)케이원정보통신 Ｌｔｅ-ｒ 기반의 고장진단 방법 및 시스템
CN108228378A (zh) * 2018-01-05 2018-06-29 中车青岛四方机车车辆股份有限公司 列车组故障预测的数据处理方法及装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103345207A (zh) * 2013-05-31 2013-10-09 北京泰乐德信息技术有限公司 一种轨道交通监控数据的挖掘分析与故障诊断系统
CN104683413A (zh) * 2013-11-28 2015-06-03 北车大连电力牵引研发中心有限公司 列车数据传输系统
EP2990295A1 (en) * 2014-08-27 2016-03-02 Hitachi, Ltd. Vehicle control system
CN105159283A (zh) * 2015-09-02 2015-12-16 南京南车浦镇城轨车辆有限责任公司 城市轨道交通车辆远程故障分析与反馈系统
CN105306574A (zh) * 2015-11-04 2016-02-03 株洲南车时代电气股份有限公司 远程下载列车运行监控记录文件的方法
CN206086764U (zh) * 2016-07-29 2017-04-12 河南蓝信软件有限公司 车地信息综合监测分析系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3666621A4

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114717891A (zh) * 2022-03-31 2022-07-08 广州南科铁路器材有限公司 一种铁路提速道检修的施工方法
CN114717891B (zh) * 2022-03-31 2023-08-04 广州南科铁路器材有限公司 一种铁路提速道检修的施工方法
CN114996258A (zh) * 2022-06-23 2022-09-02 中铁第四勘察设计院集团有限公司 一种基于数据仓库的接触网故障诊断方法
CN115901299A (zh) * 2023-02-15 2023-04-04 慧铁科技有限公司 一种列车车钩钩缓部件故障分析处理的方法
CN115901299B (zh) * 2023-02-15 2023-06-06 慧铁科技有限公司 一种列车车钩钩缓部件故障分析处理的方法

Also Published As

Publication number Publication date
CN111077871B (zh) 2021-06-22
CN111077871A (zh) 2020-04-28
EP3666621A1 (en) 2020-06-17
EP3666621A4 (en) 2021-06-30

Similar Documents

Publication Publication Date Title
WO2020078137A1 (zh) 一种铁路信号系统故障智能分析的平台
WO2020063280A1 (zh) 一种车地一体综合分析平台
WO2018053917A1 (zh) 轨道车辆系统故障的检测方法和装置
CN103434535B (zh) 一种列车自动保护系统的检测系统及方法
CN204264183U (zh) 一种红外热轴通道监视诊断系统
CN105099791B (zh) 一种基于网络信令监测数据的终端故障定位方法和系统
CN102740449B (zh) 利用gsm-r网络的ctcs-3级列控系统车载无线传输系统
CN106444716A (zh) 车辆故障诊断维修方法、服务器及维修中心
CN106411648A (zh) 城市轨道交通信号系统的数据监测方法及数据监测服务器
CN102238577B (zh) Ctcs-3级列控系统gsm-r车载无线传输模块网络传输环境监测系统
CN111130934B (zh) 通信系统的监测方法、装置及系统
CN108599989B (zh) 一种mvb总线检测方法及装置
CN209535113U (zh) 城轨列车车载信号系统实时监测平台
CN110673588A (zh) 一种ctcs-3列控系统无线超时降级故障诊断方法
CN210157388U (zh) 一种道岔监测信息的传输系统
CN112614245A (zh) 一种基于gps定位的环卫作业车辆监控考核方法
CN209833656U (zh) 一种基于gsm-r的数据处理系统
CN109039768B (zh) 一种lte-m通信网络中cbtc信号告警方法
CN103853150A (zh) 无线调车机车信号和监控系统车载设备的整机检测方法
CN109377587A (zh) 铁路机车电务部件检测系统及其电务部件检测方法
CN114861830A (zh) 一种地铁信号系统车载设备故障自动诊断方法
CN109525964A (zh) 车载无线通信方法及设备
CN113988542A (zh) 一种城轨列车正线故障的评估方法及系统
CN114537470B (zh) 一种基于吸上线数据的故障分析方法及系统
CN102238576B (zh) Ctcs-3级列控系统gsm-r车载无线传输模块在线监测系统

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2019780132

Country of ref document: EP

Effective date: 20191011

NENP Non-entry into the national phase

Ref country code: DE