CN-121979867-A - Rail transit vehicle base and infrastructure engineering equipment data asset creation method

CN121979867ACN 121979867 ACN121979867 ACN 121979867ACN-121979867-A

Abstract

The invention discloses a method for creating data assets of a rail transit vehicle base and infrastructure engineering equipment, which is used for digitally acquiring full life cycle data of rail region operation and maintenance equipment of existing lines and newly-built lines, preprocessing the acquired rail region operation and maintenance equipment data, including data cleaning and space-time alignment, constructing equipment data assets including digital identity card generation and three-dimensional digital base map generation, and intelligent application including fault diagnosis and maintenance decision generation, operation and maintenance equipment health degree prediction and data asset value assessment based on the obtained data equipment assets. The invention constructs a full life cycle data asset architecture, meets the requirements of digital twin on 'full-stage, high-association and traceable' data, and supports intelligent operation and maintenance decisions.

Inventors

CHEN HUI
ZHANG PENGLEI
ZHAO LIUHUI
Shi Shixi
XU JINGHUI
QIU MING
CHEN YUAN
DI SHILEI
LIU ZHAO
WANG HAO

Assignees

中铁第一勘察设计院集团有限公司

Dates

Publication Date: 20260505
Application Date: 20251125

Claims (10)

1. A method of creating a data asset for a rail transit vehicle base and infrastructure engineering equipment, the method comprising: digitally acquiring full life cycle data of the rail operation area operation and maintenance equipment of the existing line and the newly-built line; preprocessing the collected rail running area operation and maintenance equipment data, including data cleaning and space-time alignment; performing equipment data asset construction including digital identity card generation and three-dimensional digital base map generation on the track operation and maintenance equipment data obtained through pretreatment; intelligent applications including fault diagnosis and maintenance decision generation, operational equipment health prediction, and data asset value assessment are performed based on the resulting data equipment assets.
2. The method for creating the data asset of the rail transit vehicle base station and the infrastructure engineering equipment according to claim 1, wherein the method is characterized by digitally acquiring full life cycle data of the rail operation and maintenance equipment of the existing line and the newly built line, and specifically comprises the following steps: the existing line track district operation and maintenance equipment data acquisition includes: The historical data is supplemented, including extracting model and factory number information through a nameplate of shooting equipment, extracting information from a paper report through an OCR (optical character recognition) technology, and scanning the existing steel rail section along the whole length of the steel rail by using a laser profiler; real-time data acquisition, comprising: For detection equipment, a 4G/5G module is additionally arranged on the equipment to upload detection data in real time; for maintenance equipment, a plurality of sensors are additionally arranged on the equipment, equipment state data are collected and are related to corresponding steel rail sections; The auxiliary acquisition comprises embedding RFID tags in rail sleeper at preset intervals for storing rail codes, materials and laying time, and automatically identifying rail identities by an RFID reader-writer when detecting and maintaining equipment works, so as to avoid mismatch of data and sections.
3. The method for creating the data asset of the rail transit vehicle base station and the infrastructure engineering equipment according to claim 1, wherein the method is characterized by digitally acquiring full life cycle data of the rail operation and maintenance equipment of the existing line and the newly built line, and specifically comprises the following steps: The operation and maintenance equipment data acquisition of the newly-built line track area comprises the following steps: BIM collaborative collection comprises establishing association nodes for steel rail sections and operation and maintenance equipment in a newly-built line BIM model, and directly writing equipment parameters and construction period detection data into a BIM model attribute column; Development of a construction monitoring interface comprises development of a standardized interface, butt joint of a detection module of steel rail laying equipment, real-time acquisition of initial track gauge and smoothness data of the steel rail, and automatic synchronization to an equipment data management system; the equipment embedded point design comprises a preassembled data acquisition module when maintenance equipment leaves a factory, and is used for automatically uploading equipment starting time, operation duration and consumable consumption without on-site manual recording.
4. A method of creating a data asset for rail transit vehicle base and infrastructure equipment as claimed in claim 1, wherein the preprocessing of the collected rail zone operation and maintenance equipment data including data cleansing and space-time alignment comprises: Detection data processing, comprising: Removing waveform noise by adopting a wavelet transformation algorithm, and automatically identifying characteristic points by a threshold method; abnormal values are removed by adopting a 3 sigma principle, and then the data is smoothed by moving average, so that the accuracy is improved; maintenance data processing, comprising: Analyzing unstructured text data by using an OCR+NLP algorithm, extracting key information and converting the key information into structured data; the Kalman filtering algorithm is adopted to correct the acquisition delay, so that the mismatch between data and an operation link is avoided; data complement processing, comprising: and supplementing the missing detection data by adopting an LSTM prediction model.
5. A method of creating a data asset for rail transit vehicle base and infrastructure equipment as claimed in claim 1, wherein the preprocessing of the collected rail zone operation and maintenance equipment data including data cleansing and space-time alignment comprises: A spatio-temporal alignment process comprising: Aiming at the linear extension characteristic of the steel rail, a linear piecewise registration algorithm is adopted to divide the steel rail into a plurality of small sections according to mileage, each section selects a plurality of characteristic points, and the coordinates in the sections are fitted through a least square method to ensure that the operation position of the equipment corresponds to the accuracy of the steel rail section; and (3) time alignment, namely synchronously associating equipment operation time with the steel rail state data time stamp, and establishing a mapping relation between the equipment operation time and the steel rail state data time stamp.
6. The method for creating the data asset of the rail transit vehicle base and the infrastructure engineering equipment according to claim 1, wherein the device data asset construction comprising digital identification card generation and three-dimensional digital base map generation is performed on the track area operation and maintenance device data obtained by preprocessing, and specifically comprises the following steps: Establishing a digital identity card of the operation and maintenance equipment in the rail region according to a preset coding rule, and correlating the digital identity card with equipment calibration records, maintenance histories and operation records, wherein the format of the digital identity card of the operation and maintenance equipment in the rail region is TT-SS-EE, TT is equipment type, SS is equipment number, and EE is home base; And establishing a steel rail section digital identity card according to a preset coding rule, and correlating with a detection record, a maintenance record and equipment, wherein the steel rail section digital identity card is in a format of LL-MM-CC-FF, LL is a line number, MM is a mileage interval, CC is a steel rail material, and FF is a paving year.
7. The method for creating the data asset of the rail transit vehicle base and the infrastructure engineering equipment according to claim 1, wherein the device data asset construction comprising digital identification card generation and three-dimensional digital base map generation is performed on the track area operation and maintenance device data obtained by preprocessing, and specifically comprises the following steps: Three-dimensional digital base map generation, comprising: taking the newly-built line BIM steel rail model and the existing line laser scanning three-dimensional model as a basic frame, and superposing the space data of the running area operation and maintenance equipment and the association data of the equipment-steel rail section; And storing and accessing by adopting a mixed storage mode of a BIM model and a time sequence database, wherein the BIM model is used for storing space data, the time sequence database is used for storing equipment detection/maintenance time sequence data, and the Web end is supported to view and export data in real time.
8. A method of creating a data asset for rail transit vehicle base and infrastructure engineering equipment as claimed in claim 1, wherein intelligent applications including fault diagnosis and maintenance decision generation, operation and maintenance equipment health prediction and data asset value assessment are performed based on the resulting data asset, specifically comprising: the fault diagnosis and maintenance decision generation includes: Establishing a four-dimensional associated knowledge graph of defect-detection equipment-maintenance scheme; when the detection equipment detects the defects, matching similar cases in the knowledge graph automatically, acquiring recommended maintenance equipment and operation parameters, generating a maintenance work order, and synchronously pushing to an equipment operation end.
9. A method of creating a data asset for rail transit vehicle base and infrastructure engineering equipment as claimed in claim 1, wherein intelligent applications including fault diagnosis and maintenance decision generation, operation and maintenance equipment health prediction and data asset value assessment are performed based on the resulting data asset, specifically comprising: the operation and maintenance equipment health degree prediction comprises the step of predicting the service life and the health state of equipment by using a deep learning model according to the acquired equipment operation and maintenance data.
10. A method of creating a data asset for rail transit vehicle base and infrastructure engineering equipment as claimed in claim 1, wherein intelligent applications including fault diagnosis and maintenance decision generation, operation and maintenance equipment health prediction and data asset value assessment are performed based on the resulting data asset, specifically comprising: the data asset value assessment includes: performing comprehensive asset value evaluation based on the established asset value evaluation index system; For steel rail operation and maintenance equipment, the asset value evaluation index system comprises a primary index and a secondary index, wherein the primary index comprises data integrity, data availability, decision contribution degree and cost saving degree; The secondary index of the data integrity comprises a steel rail detection data integrity rate, wherein the steel rail detection data integrity rate is = (the number of steel rail sections actually recorded with detection/total number of sections) multiplied by 100%; the secondary indicators of data availability include device data call frequency, device data call frequency = month call times/device data total amount; the second-level index of the decision contribution degree comprises a steel rail damage detection rate lifting value, wherein the steel rail damage detection rate lifting value is = (the current detection rate-manual detection rate set value) multiplied by 100%; The second level index of the cost saving degree includes a steel rail maintenance cost reduction rate, which is = (maintenance cost set value-current maintenance cost)/maintenance cost set value×100%.

Description

Rail transit vehicle base and infrastructure engineering equipment data asset creation method Technical Field The invention relates to the technical field of rail transit digitization, in particular to a method for creating data assets of a rail transit vehicle base and infrastructure engineering equipment. Background The current digital development of rail transit shows two major trends, namely, a newly built circuit is commonly designed, constructed and operated by adopting a BIM (building information model) technology, but is mostly remained on a 'model visualization' level and is not deeply fused with an equipment management system, and the existing circuit faces the 'digital transformation' requirement, but the utilization rate of historical data (paper drawing and discrete electronic documents) is extremely low due to format isomerism and medium aging, so that digital twin application is difficult to support. The data asset rate in the industry is less than 30%, and full life cycle data penetration becomes a core bottleneck. The disadvantages or shortcomings of the prior art are specifically as follows: 1. the existing scheme only solves the problem of data acquisition, does not provide an effective scheme aiming at OCR recognition errors of paper drawings and discrete data complement, and cannot form complete data assets; 2. the BIM model and the equipment management system adopt custom interfaces, the compatibility is poor, the data can not be automatically synchronized to the operation and maintenance system, and the data value is lost; 3. the dimension of data association is insufficient, namely equipment maintenance data (such as fault records and replacement parts) and infrastructure state data are stored separately, and three-dimensional association of space-time-fault is lacking, so that root cause analysis cannot be supported; 4. The space-time fusion precision is low, the coordinate conversion error of the existing multi-source data exceeds 5mm, the digital twin millimeter mapping requirement cannot be met, and the data utilization rate is insufficient; 5. The whole life cycle is not covered fully, the traditional scheme only covers a single stage of a construction period or an operation maintenance period, the whole life cycle data asset from 'equipment delivery-construction installation-operation maintenance-scrapping' is not formed, and the digital twin-growth long-term application cannot be supported. Disclosure of Invention The application provides a method for creating data assets of a rail transit vehicle base and infrastructure engineering equipment, which aims to solve the technical problems existing in the prior art. According to a first aspect, in one embodiment there is provided a rail transit vehicle base and infrastructure engineering equipment data asset creation method, the method comprising: digitally acquiring full life cycle data of the rail operation area operation and maintenance equipment of the existing line and the newly-built line; preprocessing the collected rail running area operation and maintenance equipment data, including data cleaning and space-time alignment; performing equipment data asset construction including digital identity card generation and three-dimensional digital base map generation on the track operation and maintenance equipment data obtained through pretreatment; intelligent applications including fault diagnosis and maintenance decision generation, operational equipment health prediction, and data asset value assessment are performed based on the resulting data equipment assets. Further, the method for digitally collecting the full life cycle data of the rail operation and maintenance equipment of the existing line and the newly built line specifically comprises the following steps: the existing line track district operation and maintenance equipment data acquisition includes: The historical data is supplemented, including extracting model and factory number information through a nameplate of the industrial photographing equipment, extracting information from a paper report through an OCR (optical character recognition) technology, and scanning the existing steel rail section along the whole length of the steel rail by using a laser profiler; real-time data acquisition, comprising: For detection equipment, a 4G/5G module is additionally arranged on the equipment to upload detection data in real time; for maintenance equipment, a plurality of sensors are additionally arranged on the equipment, equipment state data are collected and are related to corresponding steel rail sections; The auxiliary acquisition comprises embedding RFID tags in rail sleeper at preset intervals for storing rail codes, materials and laying time, and automatically identifying rail identities by an RFID reader-writer when detecting and maintaining equipment works, so as to avoid mismatch of data and sections. Further, the method for digitally collecting the full life cyc