EP2251835A1 - Système et méthode pour télémaintenance et diagnostic expert de pannes - Google Patents

Système et méthode pour télémaintenance et diagnostic expert de pannes Download PDF

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Publication number
EP2251835A1
EP2251835A1 EP09398015A EP09398015A EP2251835A1 EP 2251835 A1 EP2251835 A1 EP 2251835A1 EP 09398015 A EP09398015 A EP 09398015A EP 09398015 A EP09398015 A EP 09398015A EP 2251835 A1 EP2251835 A1 EP 2251835A1
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EP
European Patent Office
Prior art keywords
maintenance
expert
telemaintenance
diagnosis
module
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP09398015A
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German (de)
English (en)
Inventor
Augusto António Moreira da Costa Franco
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Empresa De Manutencao De Equipamento Ferroviario Sa (emef)
Original Assignee
Empresa De Manutencao De Equipamento Ferroviario Sa (emef)
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Publication of EP2251835A1 publication Critical patent/EP2251835A1/fr
Withdrawn legal-status Critical Current

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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/006—Indicating maintenance
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data

Definitions

  • the present invention is related to a system and method for the telemaintenance of vehicles, namely railway rolling stock, that comprises an Intelligent Failure Diagnosis System, IFDS (2), applicable to the universe of the conventional and high-speed train, light rail and potentially comprising all the transport systems.
  • IFDS Intelligent Failure Diagnosis System
  • the embedded system in the vehicle comprises:
  • the module of interface with the system of the vehicle comprises:
  • the intelligent failure diagnosis system (2) comprises:
  • the motor of inference or of recognition of patterns, or both comprises one or more of the following items:
  • the intelligent failure diagnosis system (2), IFDS comprises additionally:
  • the embedded system in the vehicle comprises additionally:
  • the present invention describes also a method for the telemaintenance and expert diagnosis of failures in vehicles characterized for comprising the steps of gathering, analyzing and producing intelligence of the maintenance policy (2), through:
  • a preferred accomplishment of the present invention is that the referred method comprises the gathering, analysis and production of intelligence of the maintenance policy (2), additionally through:
  • vehicle (1) is railway.
  • the present invention is related to a system and method for the telemaintenance of vehicles, namely railway rolling stock, RRS (1), associated to an Intelligent Failure Diagnosis System, IFDS (2), applicable to the universe of the conventional and high-speed train, light rail and potentially comprising all the transport systems.
  • RRS (1) railway rolling stock
  • IFDS (2) Intelligent Failure Diagnosis System
  • the present invention comprises the railway telemaintenance with a maintenance policy of Maintenance centred in the reliability, Reliability Centred Maintenance (RCM), appealing to the technology of Maintenance Based in the Condition, Condition Based Maintenance (CBM), in order to improve and intensify the treatment of the RCM tasks, named by tasks on inspection/condition (on condition tasks), giving rise to a new decision support tool.
  • RCM Reliability Centred Maintenance
  • CBM Condition Based Maintenance
  • the telemaintenance/IFDS lays over a development traineeship, software deployment, of the type of Knowledge Based Systems (KBS), being targeted to the technical diagnosis using tools of Artificial Intelligence (AI).
  • KBS Knowledge Based Systems
  • AI Artificial Intelligence
  • the described invention replies to an identified necessity by the main transport operators in a wide sense (lad, shipping and air transports), for which the technological offer in the market still doesn't satisfies.
  • the proposed invention allows its users to be able to create an integrated and customized interface between its systems of supervision and support to decision and the several embedded systems, in an independent way with the technology used by the manufacturer.
  • the present invention allows to collection, transmission, analysis of different types of intelligence, even multimedia, of several vendors with multiple protocols (including the conversion of protocols) with different systems of physical communication and even with systems of different purposes in order to provide an intelligent, expert integrated support to decision, to the maintenance of rolling stock.
  • the end users having access to this type of intelligence, may maximize the management of their parks of transporting systems, which makes the diffusion of the invention economically feasible.
  • Image 1 Schematic representation of the General Structure of the Invention.
  • Image 2 Schematic representation of the physical structure - communications platform embedded.
  • Image 3 Schematic representation of the interfaces in the Module of Data Processing.
  • Image 4 Schematic representation of the blocks scheme of the extension Module of E/E.
  • Image 5 Schematic representation of the general structure of the developed system in the Module of Data Processing.
  • Image 6 Schematic representation of the scheme of status of the Main sub-process, thread Main.
  • Image 7 Schematic representation of the scheme of status of the sub-process, thread, GPS .
  • Image 8 Schematic representation of the scheme of status of the Module sub-process, thread Module.
  • Image 9 Schematic representation of the scheme of status of the Data Manager Module sub-process, thread DataManager .
  • Image 10 Schematic representation of the data structure created by the sub-process Module, thread Module, related to the equipment variables of the RRS.
  • Image 11 Schematic representation of the scheme of status of the sub-process Sending File, thread FileSender .
  • Image 12 Schematic representation of the proposed Life Cycle for an extraction of knowledge.
  • Image 13 Schematic representation of the global framework of the invention.
  • Image 14 Schematic representation of the interaction between the Telemanagement Centre and the embedded system(s).
  • SDS Support to Decision System
  • the IFDS in order to operate as SDS is directed to the functions of:
  • the RCM methodology provides a practical and structured way of achieving optimized results in the maintenance strategy adopted for each target system.
  • the main purpose is to determine the required actions to ensure that the physical assets comply with the required functions within the framing of its operational context.
  • One of the major aspects in the settlement of the programmes of maintenance management is the attainment of satisfying information/data about the performance of a certain fleet of RRS, such as co-related glitches, failures and other measures that allow checking the condition of the equipment.
  • the assessment, grouping and comparing of an appreciable quantity of information, each more often with the growing automation of the systems/processes embedded in the RRS may not be efficiently managed by a system of general information (not customized) in which importance is only given to standards of global integration.
  • CMMS Computerized Maintenance Management System
  • the SDBM is based in SQLSERVER ⁇ or, optionally, for example, an ORACLE ⁇ server, in which the tools of the Open Platform of Communications - Communication Standard (OPC - Communication Standard ), have a prevailing role in order to allow the assumption of the whole system as being the open platform.
  • OPC - Communication Standard Open Platform of Communications - Communication Standard
  • the REMAIN - OREDA model was followed; in this model the failure modes and the maintenance activities are linked in the SDBM.
  • the embedded system has a GPRS communications platform (ready for the evolution to GSM-R), existing the integration with the RSC support.
  • the sensors which aimed to follow the IEEE 1451 standard.
  • the TMC of the RRS allows the hosting of the SDBM and has an inference motor of the system.
  • the SGI was developed in order to have practical identification capabilities of localization of the RRS, being included in this chapter the dynamic zoom capabilities.
  • the Framework Client-Server supports the whole system.
  • the integration of the Expert Systems, of which the IFDS is an example arises as a value-added tool in different stages of the approach/execution of this management strategy.
  • the IFDS is, in fact, a RCM tool, which integration is being implemented under the following aspects:
  • Each vehicle has a communications platform comprising one embedded processing unit, one embedded PC, with routing functions, having a proper Operating System, for example, Linux TM , which provides an open framework for the communications with the different communication protocols. Patterns/systems as those previously mentioned are capable of remote monitoring and were extremely useful for the development of the present project:
  • the Exchange of the data collected by this platform and the telemanagement centre is established through a module/device dedicated for the effect, like is the case of the module - modem GSM/GPRS.
  • the developed system enables the integration of communication modules by third parties or commercially available.
  • the TELEMAINTENANCE/IFDS system is supported by a Client-Server Architecture. This framework made available by an internet browser, with the aim of offering to the users (companies using this product) a set of information gathered in interfaces, front-ends, developed in a customized way to provide the support to the decision to the set of decision-makers (at different levels) involved in the Management process of the RRS.
  • This system is, by default, of the type of time-trigger and event-trigger, in case it occurs an alarm. It should be stressed that the proactive behaviour of the system, being endowed for each variable of warning levels that allows the anticipation, in the majority of the situations, of the failure.
  • AI Artificial Intelligence
  • the knowledge extraction techniques for supporting decision, available by the AI area are presently varied. These techniques include the expert systems, case based reasoning - expert system based in cases, model-based reasoning - based in models, neural networks, fuzzy logic, etc. These after the accomplishment of the railway I&D within the scope of development of the TELEMAINTENANCE/IFDS, showed to be powerful tools in the enhancement of their performance.
  • the IFDS uses as main tools of AI the expert systems, the case based reasoning and the fuzzy logic / clustering.
  • the Telemaintenance/IFDS system reached in a early stage a success rate in the given answers of 67%. With the application of new techniques such as inductive algorithms and neural networks this rate reached the 88% value, with an ascending trend as the Telemaintenance/IFDS system learns with the introduction of information.
  • the communications platform (Image 2) is embedded in the vehicles and due to its robustness and modular character is perfectly adapted to provide support to the acquisition and treatment of the necessary data for the remote monitoring and diagnosis of each series of Railway Rolling stock (RRS).
  • RRS Railway Rolling stock
  • This communications platform detaches for being a data acquisition system clear and transversal, that is, with its diversity of interfaces (Image 3) and the processing capacity it enables the attainment and Exchange of data between different equipments / systems proceeding from different manufacturers.
  • the threads Module - Module and FileSender are totally configurable in order to be adjusted to the specific requirements of the systems of each RRS, an innovative feature in the applications used in the railway sector.
  • the Module it is found the processing and interpretation of the communications protocol(s) of the systems target of remote monitoring and diagnosis.
  • FileSender is set up the way the data will be sent for the telemanagement centre appropriate for the type of the Communications Module being used.
  • the thread Main (Image 5) is the responsible for the creation of the remaining threads of the process, where initially it reads the File Settings, in order to obtain the settings of the different modules.
  • each module After each module has been configured, it continues to process the local peripherals of the Module of Data Processing, such as presenting textual information on the LCD, performing keyboard functions until it's pressed the keyboard with the instruction to exit.
  • the local peripherals of the Module of Data Processing such as presenting textual information on the LCD, performing keyboard functions until it's pressed the keyboard with the instruction to exit.
  • the thread, sub-process, GPS (Image 7) performs cyclically, the communication with the GPS receiver connected to a RS-232 door of the Module of Data Processing. In this cycle are stored the data related to the GPS (latitude, longitude, altitude, time and date, number of satellites, quality of the signal and speed) in a structure of data for sharing. Additionally, whenever the system is not configured with the time and date, the time and date given are those received by the GPS receiver.
  • the thread, sub-process, Module (Image 8) is responsible for the management of the communication through the serial port with the RRS equipment. In it, it is found the command code and the relevant interpretation of the necessary information for the extraction of the necessary data for the remote diagnosis.
  • the list of equipments wherefrom the data are desired to be extracted (list part of the file settings) is loaded and is transformed in a sequence of commands to send. Until the request to terminate is received, this sequence of commands is performed cyclically and the data already interpreted are stored in a structure of data to share.
  • the thread, sub-process, DataManager (Image 9) has as main function the generation of a file comprising the whole information required to send for the telemanagement centre.
  • the thread, sub-process allocates a memory space dedicated to the data of the GPS, Module and the identification of the vehicle. This has to do with the fact that these data don't occupy always the same space, because in the Settings file it is made the selection of the equipments allotted for the data collection. Thus, regarding the size of the stored data and subsequently sent, depend of the configuration placed in the Settings file.
  • Image 5 is represented the mechanism used for the data exchange between the threads, sub-processes. Where an example of how the exchanged information between a Module thread and a DataManager thread is represented in the structure of data in Image 10.
  • the thread, sub-process, FileSender verifies continuously the D irectory Sending waiting for a new file.
  • a new file arrives to this folder and if it's the first time, establishes a connection to the internet by GPRS, configures the patterns of the FTP client account and sends the file together with the information of the connection IP. This procedure is performed cyclically, being also stored a copy of the files in the directory Storage.
  • the generated file with the information of the data proceeding from the GPS, equipments variables and identification of the vehicle, is created similarly to the file Settings.
  • the proposed invention allows its users to be able to create an integrated and customized interface between its systems of supervision and support to decision and the several embedded systems, in an independent way with the technology used by the manufacturer.
  • the end users having access to this type of intelligence, may maximize the management of their parks of transporting systems, which makes the diffusion of the invention economically feasible.
  • the pilot system was tested in a computational environment, allowing the building of one of the modules of the Computer Maintenance Management System (CMMS), which namely performs the stage of knowledge extraction from a "woof" of variables sent remotely from the universe of vehicles in operation.
  • CMMS Computer Maintenance Management System
  • the CBR technology stand-alone, performed its role in the knowledge extraction and accomplishment of the automated diagnosis.
  • RBR Module Rule Based Reasoning
  • FUzzy-CBR clustering which applicability aims to the "clusterization" of the base of knowledge of the expert system case-based, accelerating and “tuning” the stages of retrieving/revising/ retaining of the cycle of reply of the system to the external excitement that is represented by the new failure case presented to the diagnosis system.
  • This methodology is supported in the fact that a knowledge base of the system of important dimensions may be transformed in one of minor dimensions together with a group of fuzzy rules, rules of fuzzy logic, of adaption generated by a fuzzy decision tree induction.
  • ANNs Artificial Neural Networks
  • the cases are typically catalogued patterns that represent different regions or features of the knowledge about the technical and expert diagnosis.
  • the inclusion of Fuzzy-sets optimizes the selection of the cases from different regions of the knowledge base that deal with uncertainty, ambiguity and overlapping.
  • CBM Condition Based Maintenance
  • the IFDS is a self-learning system, feature which detaches it from the existing systems. Performs the automatic learning, conducting to the progressive increase of the reliability of its answers in the course of its operation/service time.
  • This feature is given, namely by the CBR tools and Neural Networks.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
EP09398015A 2008-10-31 2009-11-02 Système et méthode pour télémaintenance et diagnostic expert de pannes Withdrawn EP2251835A1 (fr)

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PT10424608A PT104246B (pt) 2008-10-31 2008-10-31 Sistema e método para telemanutenção e diagnóstico pericial de avarias

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Cited By (11)

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ES2398998A2 (es) * 2011-05-04 2013-03-25 Administrador De Infraestructuras Ferroviarias (Adif) Procedimiento y dispositivo de control de incidencias en infraestructuras de transporte ferroviario.
ES2400643R1 (es) * 2010-12-31 2013-05-29 Nuevas Estrategias De Mantenimiento S L Sistema inmunologico artificial autonomo para activos complejos con largo ciclo de vida
CN109767014A (zh) * 2019-01-15 2019-05-17 巨轮智能装备股份有限公司 一种多方协同的定制装备维护与维修方法
US10657450B2 (en) 2015-09-30 2020-05-19 Deere & Company Systems and methods for machine diagnostics based on stored machine data and available machine telematic data
EP3194229B1 (fr) 2014-09-17 2020-10-14 KNORR-BREMSE Systeme für Schienenfahrzeuge GmbH Procédé de surveillance et de diagnostic de composants d'un véhicule ferroviaire avec un logiciel d'evaluation extensible
CN112181848A (zh) * 2020-10-21 2021-01-05 滁州市精美家电设备股份有限公司 工业互联网5g远程保障及诊断全自动成套设备运行系统
CN112623267A (zh) * 2020-11-30 2021-04-09 中国航空工业集团公司西安航空计算技术研究所 一种机载嵌入式综合处理机的故障隔离方法和装置
CN113114748A (zh) * 2021-04-02 2021-07-13 天津一重电气自动化有限公司 一种基于数据分析的智能预测系统
CN113204895A (zh) * 2021-05-31 2021-08-03 江苏中车数字科技有限公司 一种基于图形算法开发的轨道车辆实时在线phm方法
CN113254929A (zh) * 2021-05-21 2021-08-13 昆山翦统智能科技有限公司 一种企业远程智能服务的免疫计算与决策方法及系统
CN118264538A (zh) * 2024-03-25 2024-06-28 江苏优亿诺智能科技有限公司 一种基于hplc双模通信技术的故障诊断方法

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CN106777752B (zh) * 2016-12-30 2019-04-02 华东交通大学 一种高速列车追踪运行曲线优化设定方法
CN113392988B (zh) * 2021-05-10 2023-06-09 贵州乌江水电开发有限责任公司乌江渡发电厂 一种水电厂无纸化作业的检修文件管理方法
CN114625110B (zh) * 2022-03-25 2023-08-29 上海富欣智能交通控制有限公司 故障诊断方法、装置、系统及智能轨道交通系统

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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2400643R1 (es) * 2010-12-31 2013-05-29 Nuevas Estrategias De Mantenimiento S L Sistema inmunologico artificial autonomo para activos complejos con largo ciclo de vida
ES2398998A2 (es) * 2011-05-04 2013-03-25 Administrador De Infraestructuras Ferroviarias (Adif) Procedimiento y dispositivo de control de incidencias en infraestructuras de transporte ferroviario.
ES2398998R1 (es) * 2011-05-04 2013-07-12 Administrador De Infraestructuras Ferroviarias Adif Procedimiento y dispositivo de control de incidencias en infraestructuras de transporte ferroviario.
EP3194229B1 (fr) 2014-09-17 2020-10-14 KNORR-BREMSE Systeme für Schienenfahrzeuge GmbH Procédé de surveillance et de diagnostic de composants d'un véhicule ferroviaire avec un logiciel d'evaluation extensible
US10657450B2 (en) 2015-09-30 2020-05-19 Deere & Company Systems and methods for machine diagnostics based on stored machine data and available machine telematic data
CN109767014A (zh) * 2019-01-15 2019-05-17 巨轮智能装备股份有限公司 一种多方协同的定制装备维护与维修方法
CN112181848A (zh) * 2020-10-21 2021-01-05 滁州市精美家电设备股份有限公司 工业互联网5g远程保障及诊断全自动成套设备运行系统
CN112623267A (zh) * 2020-11-30 2021-04-09 中国航空工业集团公司西安航空计算技术研究所 一种机载嵌入式综合处理机的故障隔离方法和装置
CN112623267B (zh) * 2020-11-30 2024-04-09 中国航空工业集团公司西安航空计算技术研究所 一种机载嵌入式综合处理机的故障隔离方法和装置
CN113114748A (zh) * 2021-04-02 2021-07-13 天津一重电气自动化有限公司 一种基于数据分析的智能预测系统
CN113254929A (zh) * 2021-05-21 2021-08-13 昆山翦统智能科技有限公司 一种企业远程智能服务的免疫计算与决策方法及系统
CN113254929B (zh) * 2021-05-21 2023-11-07 昆山翦统智能科技有限公司 一种企业远程智能服务的免疫计算与决策方法及系统
CN113204895A (zh) * 2021-05-31 2021-08-03 江苏中车数字科技有限公司 一种基于图形算法开发的轨道车辆实时在线phm方法
CN113204895B (zh) * 2021-05-31 2024-04-16 江苏中车数字科技有限公司 一种基于图形算法开发的轨道车辆实时在线phm方法
CN118264538A (zh) * 2024-03-25 2024-06-28 江苏优亿诺智能科技有限公司 一种基于hplc双模通信技术的故障诊断方法

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