WO2021115862A1 - Procédé de diagnostic et dispositif de diagnostic pour un système - Google Patents

Procédé de diagnostic et dispositif de diagnostic pour un système Download PDF

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Publication number
WO2021115862A1
WO2021115862A1 PCT/EP2020/084213 EP2020084213W WO2021115862A1 WO 2021115862 A1 WO2021115862 A1 WO 2021115862A1 EP 2020084213 W EP2020084213 W EP 2020084213W WO 2021115862 A1 WO2021115862 A1 WO 2021115862A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
diagnostic
data sources
property
ranking
Prior art date
Application number
PCT/EP2020/084213
Other languages
German (de)
English (en)
Inventor
Witali Sauter
Karsten Blum
Original Assignee
Siemens Mobility GmbH
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 Siemens Mobility GmbH filed Critical Siemens Mobility GmbH
Publication of WO2021115862A1 publication Critical patent/WO2021115862A1/fr

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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
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • 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
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
    • 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

  • Diagnostic methods and diagnostic devices are known from the prior art for various types of systems, such as, for example, traffic engineering systems or railway engineering systems.
  • Diagnostic devices and diagnostic methods are very important, especially with regard to predictive maintenance.
  • data objects are modeled within a computer system for the parts of the system to be diagnosed, which are referred to below as the diagnosis target, and diagnosis objects are also referred to below, which represent the diagnosis targets.
  • diagnosis targets are also referred to below, which represent the diagnosis targets.
  • data on various properties of the diagnosis target are made available in order to be able to modulate the diagnosis object.
  • the diagnosis object can process and combine data from various data sources. It can be problematic here if data on the same properties of the diagnostic target are available from different data sources and this data is redundant. This can be caused, for example, by runtime problems, connectivity problems, availability problems or calculation errors.
  • the invention is therefore based on the object of providing a diagnostic method and a diagnostic device for a system which also work reliably with redundant data from various data sources.
  • the object is achieved according to the invention by a diagnostic method for a system, in particular for a traffic system, in which at least one diagnostic target of the system is mapped as at least one diagnostic object, in which data on at least one property of the diagnostic target is made available for the diagnostic object where the Data on the at least one property of the diagnosis target are supplied from at least two data sources, in which each of the at least two data sources is assigned at least one ranking value, the ranking values of the data sources being different from one another, and in which the data of the data sources are dependent on the Ranking values are processed.
  • the invention solves the problem by a diagnosis device for a system with at least one diagnostic object that is designed to map at least one diagnostic target of the system and to process data on at least one property of the diagnostic target, the diagnostic device being designed to To process data relating to the at least one property of the diagnosis target from at least two data sources as a function of a ranking value of the data sources, the ranking values of the data sources being different from one another.
  • the solution according to the invention has the advantage that only data from one data source per property of the diagnosis target are ever used. In this way, disruptions due to the use of redundant data can be excluded.
  • the ranking values assigned to the various data sources enable a clear decision to be made as to which data is used by which data source.
  • the assigned ranking values ensure that the data from the best possible data source is always used.
  • the diagnostic object can either decide itself on the basis of the ranking value which data is used from which data source or only the data from one data source is supplied to the diagnosis object depending on the ranking value. In any case, it is ensured that only the data from one data source is used for a property of the diagnostic target, thus avoiding redundant (possibly contradicting) data from different data sources.
  • the invention can be further developed by further advantageous embodiments which are described below.
  • the data from the data source can be processed with a highest or best ranking value.
  • the data value is, for example, the temperature
  • the data source is a temperature sensor
  • the diagnostic target is a switch machine that is modeled by the diagnostic object.
  • the definition of which ranking value has the highest priority is the definition of which ranking value has the highest priority.
  • This can, for example, alternatively be the data source with the lowest ranking value.
  • the most suitable, available data source should always be used and the ranking value is an index of this.
  • the data from the data source with the highest or best ranking value is not available, the data from the data source with the next highest or next best ranking value can be processed.
  • the availability is taken into account and the next best data source is used if the best data source fails.
  • the maintenance of the diagnostic process is guaranteed if data on the property concerned is still available.
  • the ranking values can be determined and established, for example, at least partially on the basis of historical values or heuristics for the data sources. This has the advantage that the ranking values can also be automatically assigned to the data sources, for example.
  • Historical values can be downtimes or downtimes of the data sources, for example. For example the data source with the lowest downtime receives the highest priority value and thus the highest priority.
  • the invention also relates to a computer program with program commands for performing the diagnostic method according to the invention according to one of the above-mentioned execution forms.
  • the method according to the invention and / or its exemplary embodiments can be carried out in each case.
  • a provision device for storing and / or providing the computer program product.
  • the provision device is, for example, a data carrier that stores and / or provides the computer program product.
  • the provision device is, for example, a network service, a computer system, a server system, in particular a distributed computer system, cloud-based computer system and / or virtual computer system, which the computer program product preferably stores and / or provides in the form of a data stream.
  • the provision takes place, for example, as a download in the form of a program data block and / or command data block, preferably as a file, in particular as a download file, or as a data stream, in particular as a download data stream, of the complete computer program product.
  • This provision can, for example, also take place as a partial download, which consists of several parts and is downloaded in particular via a peer-to-peer network or made available as a data stream.
  • Such a computer program product is read into a system in the form of the data carrier, for example using the supply device, and executes the program commands so that the method according to the invention is carried out on a computer.
  • this can have at least one memory input have direction in which the ranking values of the data source are stored.
  • the ranking values can, for example, be stored in a simple form in a text file that is read out when the diagnostic device is in operation. This has the advantage that the ranking values of the data sources are very easily available and retrievable.
  • the diagnostic device can be designed to transfer the data on the at least one property of the diagnostic target from exactly one of the at least two data sources to the diagnostic object as a function of the priority value.
  • the diagnosis object does not have to make a decision itself, but processes all transferred data.
  • the selection of which data source is used is made by the diagnostic device on the basis of the ranking and, if applicable, the availability or the presence of the data sources.
  • the invention also relates to a traffic engineering system with at least one diagnostic target, with at least two data sources, which are each designed to deliver data on at least one property of the diagnostic target, and with at least one diagnostic device.
  • the diagnostic device of the traffic system is designed according to one of the aforementioned embodiments according to the invention.
  • the system is advantageously designed as a railway system, since the invention can be used well for this purpose.
  • Fig. 1 is a schematic representation of an exemplary embodiment of a railway according to the invention technical system with a diagnostic device according to the invention;
  • Fig. 2 is a schematic representation of the Diagnoseeinrich device from Fig. 1 in a different state.
  • a railway technical installation 1 comprises a diagnostic target 2, a diagnosis device 3 and several data sources 4.
  • the railway technical installation 1 is designed in a known manner and includes, for example, vehicles and field elements such as switches, light signals, signal boxes, etc. All of these system parts of the railway system 1 can be diagnosed and thereby represent diagnostic targets 2 in each case. For the sake of simplicity, only one diagnostic target 2 is shown in FIGS. 1 and 2, which is supposed to be a rail vehicle here, for example.
  • the diagnostic device 3 according to the invention is embodied, for example, on one or more computers and is embodied for diagnosing the railway engineering system 1 and, in particular, the diagnostic target 2. As already mentioned, only one diagnosis target 2 is shown in the figures for the sake of simplicity. Otherwise, of course, the diagnostic device 3 according to the invention diagnoses a large number of diagnostic targets 2. For this purpose, the diagnosis device 3 comprises a multiplicity of diagnosis objects 5, with only one diagnosis object being shown in FIGS. 1 and 2 in the figures, likewise for the sake of simplicity.
  • a diagnosis object 5 is usually modulated.
  • the diagnosis object 5 in FIGS. 1 and 2 is fed with data from various data sources 4.
  • the data from the data sources 4 relate to different properties A, B, C of the diagnostic target 2.
  • the property A is, for example, a speed v
  • the property Shank B is a temperature t
  • property C is a voltage U.
  • a diagnostic interface 6 of the rail vehicle, a voltage and temperature sensor 7 and a speed sensor 8 are used as data sources 4.
  • a ranking value R is stored for each data source 4 in a memory device 9 of the diagnostic device 3. On the basis of the ranking values R it is decided which data source 4 is used by the diagnosis object 5 for the delivery of the data for the specific property if more than one data source 4 for the same property A, B, C is available.
  • both the diagnostic interface 6 and the speed sensor 8 deliver a speed v2 with respect to property A.
  • lower ranking values R are better and are therefore to be preferred over higher ones.
  • the speed v2 of the speed sensor 8 is used by the Diagnoseob project 5 in Fig. 1 for the property A.
  • the only data source 4 for property B is the voltage sensor 7, so that the temperature t from the voltage and temperature sensor 7 of the data object 5 for property B is used.
  • the priority value is not decisive here, since only one data source 4 is available for this property B.
  • FIG. 2 shows the situation of the railway system 1 in which the diagnostic interface 6 has failed and cannot provide any data.
  • the ranking value R is used to decide which data are to be transferred from which data source 4 to the diagnosis object 5.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

L'invention se rapporte à un procédé de diagnostic pour un système, en particulier pour un système de transport (1), dans lequel au moins une zone de diagnostic (2) du système (1) est cartographiée en tant qu'au moins un objet de diagnostic (5), des données se rapportant à au moins une propriété de la zone de diagnostic (2) étant pourvues à l'intention de l'objet de diagnostic (5), les données se rapportant à ladite propriété de la zone de diagnostic (2) étant émises à partir d'au moins deux sources de données (4), chacune desdites deux sources de données (4) étant associée à au moins une valeur de classement, les valeurs de classement des sources de données (4) étant différentes les unes des autres, les données des sources de données (4) étant traitées en fonction des valeurs de classement. Le procédé de diagnostic selon l'invention présente l'avantage selon lequel des données provenant de différentes sources de données (4) se rapportant à la même propriété de la zone de diagnostic (2) peuvent être traitées. L'invention se rapporte également à un dispositif de diagnostic (3).
PCT/EP2020/084213 2019-12-09 2020-12-02 Procédé de diagnostic et dispositif de diagnostic pour un système WO2021115862A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019219134.7A DE102019219134A1 (de) 2019-12-09 2019-12-09 Diagnoseverfahren und Diagnoseeinrichtung für eine Anlage
DE102019219134.7 2019-12-09

Publications (1)

Publication Number Publication Date
WO2021115862A1 true WO2021115862A1 (fr) 2021-06-17

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PCT/EP2020/084213 WO2021115862A1 (fr) 2019-12-09 2020-12-02 Procédé de diagnostic et dispositif de diagnostic pour un système

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DE (1) DE102019219134A1 (fr)
WO (1) WO2021115862A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090300417A1 (en) * 2008-05-29 2009-12-03 General Electric Company System and method for advanced condition monitoring of an asset system
US20120041574A1 (en) * 2000-03-10 2012-02-16 Smiths Detection, Inc. Temporary expanding integrated monitoring network
EP3404591A1 (fr) * 2017-05-15 2018-11-21 Siemens Aktiengesellschaft Procédé et dispositif de détermination d'au moins un état de fonctionnement conforme d'une installation industrielle, produit-programme d'ordinateur, système d'entraînement et installation industrielle

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120041574A1 (en) * 2000-03-10 2012-02-16 Smiths Detection, Inc. Temporary expanding integrated monitoring network
US20090300417A1 (en) * 2008-05-29 2009-12-03 General Electric Company System and method for advanced condition monitoring of an asset system
EP3404591A1 (fr) * 2017-05-15 2018-11-21 Siemens Aktiengesellschaft Procédé et dispositif de détermination d'au moins un état de fonctionnement conforme d'une installation industrielle, produit-programme d'ordinateur, système d'entraînement et installation industrielle

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