CN112765877B - Construction method and device of PHM universal system of rolling stock - Google Patents
Construction method and device of PHM universal system of rolling stock Download PDFInfo
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Abstract
The invention relates to a construction method of a PHM universal system of a locomotive vehicle, wherein the PHM universal system comprises a digital twin module, a PHM data analysis layer, a PHM intelligent algorithm layer and a PHM visualization and application interface layer, and the construction method specifically comprises the following steps of: s1, a digital twin module acquires service department information and railway equipment information to convert the service department information and the railway equipment information, and a digital twin model is built; s2, the PHM data analysis layer analyzes the original vehicle-mounted acquisition data into vehicle state data according to the model information; s3, converting the vehicle state data into fault diagnosis information and prediction information by the PHM intelligent algorithm layer according to a preset algorithm; s4, the PHM visualization and application interface layer acquires a visualization interface and an application interface, and the visualization application displays fault diagnosis information and prediction information and is in butt joint with a working service system of a service department. Compared with the prior art, the PHM system has the advantages of integrating the working business systems of all business departments, improving the data processing efficiency and stability of the PHM system and the like.
Description
Technical Field
The invention relates to the field of railway transportation, in particular to a method and a device for constructing a PHM universal system of rolling stock.
Background
The scale of the railway road network is gradually increased, a large number of motor train units, locomotives, buses and trucks are allocated in the railway road network, and the varieties of the locomotives and the vehicles cover different speed grades, different weight grades, different power modes, different power ranges and different running environments. In order to ensure transportation safety and maintain and exert the due efficiency and efficiency in the service period of rolling stock, the application and development of the PHM system of rolling stock are getting more and more attention.
In order to adapt to diagnosis and prediction of different railway equipment such as motor train units, locomotives, buses and trucks, and to avoid repeated construction of the same PHM system for different service departments and different railway equipment monitoring objects, a construction method and a device of a general system of the locomotive PHM are needed in order to maximally improve the efficiency and the data integration value of an information system.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method and a device for constructing a PHM universal system of a locomotive vehicle, which improve the efficiency and the data integration value of the PHM system.
The aim of the invention can be achieved by the following technical scheme:
the construction method of the PHM universal system of the rolling stock comprises a digital twin module, a PHM data analysis layer, a PHM intelligent algorithm layer and a PHM visualization and application interface layer, and the PHM universal system specifically comprises the following steps when in operation:
s1, the digital twin module acquires service department information and railway equipment information, and converts the service department information and the railway equipment information to construct a digital twin model;
s2, the PHM data analysis layer acquires original vehicle-mounted acquisition data, and analyzes the original vehicle-mounted acquisition data into vehicle state data according to the model information of the digital twin model;
s3, the PHM intelligent algorithm layer converts the analyzed vehicle state data into fault diagnosis information and prediction information according to a preset algorithm;
s4, the PHM visualization and application interface layer obtains a visualization interface and an application interface, the fault diagnosis information and the prediction information are displayed by a visualization application according to the visualization interface, and the fault diagnosis information and the prediction information are in butt joint with a working service system of a service department corresponding to the digital twin model according to the application interface.
The digital twin module in the step S1 converts the service department information and the railway equipment information into a form comprising a rolling stock configuration model, rolling stock state parameter codes, database modeling of rolling stock state data and a rolling stock related information dictionary table.
The process of analyzing the original vehicle-mounted acquired data in the step S2 comprises the steps of identifying key data, removing invalid fields in the data and adding digital twin information.
The process of converting the parsed vehicle state data in the step S3 includes fault diagnosis, fault prediction, component degradation evaluation, and system health evaluation.
The algorithms used by the PHM intelligent algorithm layer in the step S3 comprise algorithms based on physical mechanism rules, algorithms based on statistical rules, algorithms based on data driving rules, algorithms based on machine learning rules and algorithms based on deep learning rules.
The chart types corresponding to the visual interface in the step S4 include a degradation chart, a performance radar chart, a risk chart, a fault classification chart and a large screen visual chart of the PHM system, and the work service system corresponding to the application interface includes an asset management system, a maintenance management system, a supply chain management system, an enterprise resource management system and a spare part management system.
An apparatus for using the construction method of the rolling stock PHM universal system comprises a memory and a processor, wherein the memory comprises a digital twin model part, the processor comprises a data analysis part, an intelligent algorithm part and a visualization and application interface part, the method is stored in the memory in the form of a computer program and is executed by the processor, and the following steps are realized when the method is executed:
s1, the digital twin model part acquires service department information and railway equipment information, and converts the service department information and the railway equipment information to construct a digital twin model;
s2, the data analysis part acquires original vehicle-mounted acquisition data, and analyzes the original vehicle-mounted acquisition data into vehicle state data according to the model information of the digital twin model;
s3, the intelligent algorithm part converts the analyzed vehicle state data into fault diagnosis information and prediction information according to a preset algorithm;
and S4, the visualization and application interface part acquires a visualization interface and an application interface, the fault diagnosis information and the prediction information are displayed by a visualization application according to the visualization interface, and the fault diagnosis information and the prediction information are in butt joint with a working service system of a service department corresponding to the digital twin model according to the application interface.
Compared with the prior art, the invention has the following beneficial effects:
1. the intelligent algorithm part and the operation and maintenance decision part of the conventional PHM system are decoupled, the universal PHM system is constructed, fault diagnosis information and fault prediction information are provided for the working service systems of all service departments through standardized visualization and application interfaces, and the universal PHM system can be integrated with the working service systems of all service departments.
2. The invention adds a digital twin module for the conventional PHM system, builds a digital twin model for different service departments and different railway equipment monitoring objects, converts the models of the different service departments and the different railway equipment monitoring objects into a standardized digital twin model, and improves the data processing efficiency of the PHM system.
3. Compared with the conventional PHM system, the invention enhances the computation intelligence of the data analysis part and the intelligent algorithm part, so that the universal PHM system can process the data of different service departments and different railway equipment monitoring objects in an intelligent and dynamic mode according to the digital twin model, and the stability of the PHM system is improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a flow chart of the operation of an apparatus using the construction method of the present invention.
Reference numerals:
201-a digital twin model section; 202-a data analysis unit; 203-an intelligent algorithm section; 204-visualization and application interface section.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are given, but the protection scope of the present invention is not limited to the following examples.
Examples
As shown in FIG. 1, the construction method of the PHM universal system of the rolling stock comprises a digital twin module, a PHM data analysis layer, a PHM intelligent algorithm layer and a PHM visualization and application interface layer, and the PHM universal system specifically comprises the following steps when in operation:
s1, a digital twin module acquires service department information and railway equipment information, and converts the service department information and the railway equipment information to construct a digital twin model;
s2, acquiring original vehicle-mounted acquisition data by a PHM data analysis layer, and analyzing the original vehicle-mounted acquisition data into vehicle state data according to model information of a digital twin model;
s3, converting the analyzed vehicle state data into fault diagnosis information and prediction information by the PHM intelligent algorithm layer according to a preset algorithm;
s4, the PHM visualization and application interface layer acquires a visualization interface and an application interface, the visual application displays fault diagnosis information and prediction information according to the visualization interface, and the fault diagnosis information and the prediction information are in butt joint with a working service system of a service department corresponding to the digital twin model according to the application interface.
The digital twin module in the step S1 converts the service department information and the railway equipment information into a rolling stock configuration model, rolling stock state parameter codes, database modeling of rolling stock state data and rolling stock related information dictionary tables.
The process of analyzing the original vehicle-mounted acquired data in the step S2 comprises the steps of identifying key data, removing invalid fields in the data and adding digital twin information.
The process of converting the parsed vehicle state data in step S3 includes fault diagnosis, fault prediction, component degradation evaluation, and system health evaluation.
The algorithms used by the PHM intelligent algorithm layer in step S3 include algorithms based on physical mechanism rules, algorithms based on statistical rules, algorithms based on data-driven rules, algorithms based on machine learning rules, and algorithms based on deep learning rules.
The chart types corresponding to the visual interface in the step S4 comprise a degradation chart, a performance radar chart, a risk chart, a fault classification chart and a PHM system large screen visual chart, and the work service system corresponding to the application interface comprises an asset management system, a maintenance management system, a supply chain management system, an enterprise resource management system and a spare part management system.
As shown in fig. 2, an apparatus for constructing a method using a general system for a rolling stock PHM includes a memory including a digital twin model part 201 and a processor including a data analysis part 202, an intelligent algorithm part 203, and a visualization and application interface part 204, the method is stored in the memory in the form of a computer program and is executed by the processor, and the following steps are implemented when the processor is executed:
s1, a digital twin model part 201 acquires service department information and railway equipment information, and converts the service department information and the railway equipment information to construct a digital twin model;
s2, the data analysis part 202 acquires original vehicle-mounted acquisition data, and analyzes the original vehicle-mounted acquisition data into vehicle state data according to model information of a digital twin model;
s3, the intelligent algorithm part 203 converts the analyzed vehicle state data into fault diagnosis information and prediction information according to a preset algorithm;
and S4, the visualization and application interface part 204 acquires a visualization interface and an application interface, the visualization application displays fault diagnosis information and prediction information according to the visualization interface, and the fault diagnosis information and the prediction information are in butt joint with a working service system of a service department corresponding to the digital twin model according to the application interface.
Furthermore, the particular embodiments described herein may vary from one embodiment to another, and the above description is merely illustrative of the structure of the present invention. All such small variations and simple variations in construction, features and principles of the inventive concept are intended to be included within the scope of the present invention. Various modifications or additions to the described embodiments or similar methods may be made by those skilled in the art without departing from the structure of the invention or exceeding the scope of the invention as defined in the accompanying claims.
Claims (8)
1. The construction method of the PHM universal system of the rolling stock is characterized in that the PHM universal system comprises a digital twin module, a PHM data analysis layer, a PHM intelligent algorithm layer and a PHM visualization and application interface layer, and the PHM universal system specifically comprises the following steps when in operation:
s1, the digital twin module acquires service department information and railway equipment information, and converts the service department information and the railway equipment information to construct a digital twin model;
s2, the PHM data analysis layer acquires original vehicle-mounted acquisition data, and analyzes the original vehicle-mounted acquisition data into vehicle state data according to the model information of the digital twin model;
s3, the PHM intelligent algorithm layer converts the analyzed vehicle state data into fault diagnosis information and prediction information according to a preset algorithm;
s4, the PHM visualization and application interface layer acquires a visualization interface and an application interface, the fault diagnosis information and the prediction information are displayed by a visualization application according to the visualization interface, and the fault diagnosis information and the prediction information are in butt joint with a working service system of a service department corresponding to the digital twin model according to the application interface;
the digital twin module in the step S1 converts the business department information and the railway equipment information into a form comprising a rolling stock configuration model, rolling stock state parameter codes, database modeling of rolling stock state data and a rolling stock related information dictionary table;
the chart types corresponding to the visual interface in the step S4 include a degradation chart, a performance radar chart, a risk chart, a fault classification chart and a large screen visual chart of the PHM system, and the work service system corresponding to the application interface includes an asset management system, a maintenance management system, a supply chain management system, an enterprise resource management system and a spare part management system.
2. The method according to claim 1, wherein the parsing the original vehicle-mounted collected data in step S2 includes identifying key data, clearing invalid fields in the data, and adding digital twin information.
3. The method according to claim 1, wherein the converting the parsed vehicle status data in the step S3 includes fault diagnosis, fault prediction, component degradation evaluation, and system health evaluation.
4. An apparatus for using the construction method of the rolling stock PHM universal system of claim 1, characterized by comprising a memory and a processor, the memory comprising a digital twin model part (201), the processor comprising a data parsing part (202), an intelligent algorithm part (203) and a visualization and application interface part (204), the method being stored in the memory in the form of a computer program and being executed by the processor, implementing the following steps when executed:
s1, the digital twin model part (201) acquires service department information and railway equipment information, and converts the service department information and the railway equipment information to construct a digital twin model;
s2, the data analysis part (202) acquires original vehicle-mounted acquisition data, and analyzes the original vehicle-mounted acquisition data into vehicle state data according to the model information of the digital twin model;
s3, the intelligent algorithm part (203) converts the analyzed vehicle state data into fault diagnosis information and prediction information according to a preset algorithm;
s4, the visualization and application interface part (204) acquires a visualization interface and an application interface, the fault diagnosis information and the prediction information are displayed by a visualization application according to the visualization interface, and the fault diagnosis information and the prediction information are in butt joint with a working service system of a service department corresponding to the digital twin model according to the application interface.
5. The apparatus according to claim 4, wherein the form of converting the service department information and the railroad equipment information by the digital twin model part (201) in the step S1 includes a rolling stock configuration model, rolling stock state parameter codes, database modeling of rolling stock state data, and rolling stock related information dictionary tables.
6. The apparatus of claim 4, wherein the parsing of the original vehicle-mounted collected data in step S2 includes identifying critical data, clearing invalid fields in the data, and appending digital twin information.
7. The apparatus of claim 4, wherein the process of converting the parsed vehicle state data in step S3 includes fault diagnosis, fault prediction, component degradation assessment, system health assessment.
8. The apparatus of claim 4, wherein the chart types corresponding to the visual interface in the step S4 include a degradation chart, a performance radar chart, a risk chart, a fault classification chart, and a PHM system large screen visual chart, and the work service system corresponding to the application interface includes an asset management system, a maintenance management system, a supply chain management system, an enterprise resource management system, and a spare part management system.
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| CN114968162B (en) * | 2022-06-20 | 2023-08-01 | 阿维塔科技(重庆)有限公司 | Information display method and device for vehicle-mounted food |
| CN116880902A (en) * | 2023-09-09 | 2023-10-13 | 山东捷瑞数字科技股份有限公司 | Universal twin frame for driving digital twin-like equipment and application method thereof |
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