CN115730921A - Multi-professional comprehensive maintenance method for rail transit - Google Patents
Multi-professional comprehensive maintenance method for rail transit Download PDFInfo
- Publication number
- CN115730921A CN115730921A CN202211374745.5A CN202211374745A CN115730921A CN 115730921 A CN115730921 A CN 115730921A CN 202211374745 A CN202211374745 A CN 202211374745A CN 115730921 A CN115730921 A CN 115730921A
- Authority
- CN
- China
- Prior art keywords
- maintenance
- fault
- rail transit
- data
- comprehensive
- 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.)
- Pending
Links
Images
Abstract
The invention relates to the technical field of rail transit, and discloses a multi-professional comprehensive maintenance method for rail transit, which comprises the following steps: s1: the method comprises the following steps of utilizing a big data platform to carry out unified management on a plurality of professional data resources related to rail transit; s2: acquiring a historical database in a big data platform by using an intelligent DCS technology; s3: collecting identification data of each part to be detected by using an LRU maintenance system, and analyzing and diagnosing faults; s4: sending out a fault maintenance instruction to a maintenance center, and then distributing the fault maintenance instruction to each maintenance department to execute a maintenance target; s5: and the maintenance department receives the instruction of the remote terminal. According to the invention, through the integration of multiple professional data resources, more comprehensive maintenance can be realized, and the influence levels of all components can be divided by matching with the use of the LRU maintenance system, so that the actual fault information and the data resources can be rapidly compared, a reasonable maintenance strategy can be formulated, and the maintenance efficiency is improved.
Description
Technical Field
The invention relates to the technical field of rail transit, in particular to a multi-professional comprehensive maintenance method for rail transit.
Background
With the continuous acceleration of the urban development process, the demands of people on transportation become more diversified, and convenient transportation is an important basis for guaranteeing the rapid development of cities. In urban traffic construction, rail transit is built on a larger scale, and many cities have long construction and service time, so that good conditions are provided for people to go out. The comprehensive maintenance method for the multiple major of the rail transit is provided for ensuring the operation quality of the rail transit, and aims to improve the operation quality of the rail transit.
Chinese patent discloses an operation and maintenance method, a system, equipment and a medium (No. CN 114862030A) of a rail transit vehicle overhaul base, the technology of the patent introduces the concept of virtual and real combined mutual driving, combines simulation data, guides the setting of simulation parameters through the actual overhaul data of overhaul operation, optimizes the simulation system, then, the optimized simulation system can be adopted to guide the next round of overhaul operation or production scheduling, optimizes the management of personnel, materials and other systems, the actual overhaul data of the next round of overhaul operation or production scheduling can further optimize the simulation system, and the further optimized simulation system can guide the next round of overhaul operation or production scheduling. In such a repeated cycle of mutual driving between the virtual and the real, finally, under the task requirement, after long-time comprehensive operation, the simulation data and the actual maintenance data reach a highly balanced state. Through the contrastive analysis of actual maintenance data and simulation data, from the aspects of engineering, technology, processes, materials, personnel and the like, a more intelligent operation and maintenance system is constructed, the accuracy of manual management, material management and process management can be improved, the management efficiency is improved, but the process comprehensiveness of maintenance is lower, the pertinence is weaker, the maintenance quality is reduced, the classification of the influence level of the to-be-detected part to be maintained cannot be carried out, and the maintenance strategy is reduced.
Disclosure of Invention
The invention aims to provide a comprehensive maintenance method for multiple major track traffics, which aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a comprehensive maintenance method for multiple specialties of rail transit comprises the following steps:
s1: the method comprises the steps that a big data platform is used for uploading and storing multi-professional data resources related to rail transit, the multi-professional data resources are integrated and are managed in a unified mode, the big data platform comprises a monitoring module, a fault analysis module and a diagnosis module, the uploaded target data are monitored, analyzed and diagnosed according to the stored multi-professional data, and the analysis results of the big data platform are displayed through a data display module;
s2: according to the step S1, acquiring a historical database in a big data platform by using an intelligent DCS technology, checking the maintenance record and the maintenance time of the previous round, acquiring identification data of each part to be detected provided with an electronic tag, and guiding the maintenance operation of the round based on the maintenance record data of the previous round;
s3: utilizing an LRU maintenance system to collect, integrate and manage identification data of each part to be detected, then importing the collected information into a big data platform for fault analysis and diagnosis, obtaining fault maintenance information, classifying according to the fault maintenance information, and generating actual fault maintenance information of different categories;
s4: according to the step S3, the communication module is used for sending out fault maintenance instructions to the maintenance center for the actual fault maintenance information of different categories, the maintenance center receives the fault maintenance instructions, the generation module is used for generating the actual fault maintenance information of different categories in a classified manner, and the actual fault maintenance information of different categories is distributed to each maintenance department to execute maintenance targets;
s5: and receiving an instruction of the remote terminal through a maintenance department, and determining maintenance information and a corresponding fault maintenance method according to the instruction to realize multi-professional maintenance of the rail transit.
As a still further scheme of the invention: the diagnosis module comprises a detection module and a determination module, the detection module determines the detection result of the uploaded target data by using multi-professional data resources, and the determination module is used for determining the fault reason of the part to be detected according to the corresponding relation between the detection result and the fault reason.
As a still further scheme of the invention: the intelligent DCS technology in the step S2 comprises a field control level (namely a data acquisition device), a process control level (namely a field control unit or a basic controller), a process management level (namely a man-machine interface device) and an operation management level.
As a still further scheme of the invention: the history database includes: equipment installation records, equipment operation data, equipment delivery data, relevant test reports, equipment operation parameters, maintenance records, maintenance time, failure times and the like.
As a still further scheme of the invention: the LRU maintenance system includes a security class, a function class, and an economy class, the security class includes a vehicle door management system, a traction system, a brake system, and the like, the function class includes an air conditioning system, and the like, and the economy class includes an interior panel, a passenger room television, and the like.
As a still further scheme of the invention: the 25HZ phase sensitive track circuit centralized maintenance method comprises the following steps: the method comprises the steps of firstly carrying out external inspection on equipment before the point, then carrying out internal inspection on a box of a power transmission end (power receiving section) and internal inspection on a choke transformer, then carrying out I-level test and recording, then carrying out internal inspection on the box of the power receiving end (power transmission end), finally cleaning the box, carrying out oil decoration on the equipment and writing a code.
As a still further scheme of the invention: the maintenance department is including maintenance robot and patrol maintenance personal, maintenance robot includes equipment such as flexible arm and high definition digtal camera, will shoot image transmission to maintenance department and maintenance center.
As a still further scheme of the invention: contain the maintenance parameter, the maintenance date, the part model, the part type of waiting to examine the part among the electronic tags, many specialty data resources include specialty such as vehicle, power supply, signal, platform door, track bow net, still include specialty such as transformer, bridge tunnel, room are built, contact net.
As a still further scheme of the invention: and comparing the actual fault maintenance information of different categories according to multi-professional data resources to generate different specialties for classification, wherein the different specialties comprise fault information of vehicles, power supplies, signals, platform doors and the like, and determining the fault type of the part to be detected.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through integration of multiple professional data resources, more comprehensive and comprehensive maintenance can be realized in the rail transit maintenance process, the maintenance reliability and the maintenance quality are ensured, and the influence levels of all parts can be divided by matching with the use of an LRU maintenance system, so that the classified management of the parts is realized, the actual fault information and the data resources can be rapidly compared, the diagnosed different fault types are distributed to different maintenance departments, and a reasonable maintenance strategy is conveniently formulated, so that the maintenance efficiency is greatly improved, the method has better pertinence, the condition of maintenance errors or maintenance quality reduction is avoided, the reliability and the service life of each part to be detected are favorably improved, and the maintenance effect is enhanced.
Drawings
Fig. 1 is a schematic diagram of an LRU maintenance strategy in a rail transit multi-specialty integrated maintenance method.
Detailed Description
In the embodiment of the invention, a multi-professional comprehensive maintenance method for rail transit comprises the following steps:
s1: the method comprises the steps that a big data platform is used for uploading and storing multi-professional data resources related to rail transit, the multi-professional data resources are integrated and are managed in a unified mode, the big data platform comprises a monitoring module, a fault analysis module and a diagnosis module, the uploaded target data are monitored, analyzed and diagnosed according to the stored multi-professional data, and the analysis results of the big data platform are displayed through a data display module;
s2: according to the step S1, acquiring a historical database in a big data platform by using an intelligent DCS technology, checking the maintenance record and the maintenance time of the previous round, acquiring identification data of each part to be detected provided with an electronic tag, and guiding the maintenance operation of the round based on the maintenance record data of the previous round;
s3: utilizing an LRU maintenance system to collect, integrate and manage identification data of each part to be detected, then guiding the collected information into a big data platform for fault analysis and diagnosis, acquiring fault maintenance information, classifying according to the fault maintenance information, and generating actual fault maintenance information of different categories;
s4: according to the step S3, the communication module is used for sending fault maintenance instructions to the maintenance center for the actual fault maintenance information of different categories, the maintenance center receives the fault maintenance instructions, and the generation module is used for classifying and generating the actual fault maintenance information of different categories and then distributing the actual fault maintenance information to each maintenance department to execute maintenance targets;
s5: and receiving an instruction of the remote terminal through a maintenance department, acquiring corresponding maintenance information, analyzing the data, determining the maintenance information and a corresponding fault maintenance method according to an analysis result, and realizing multi-professional maintenance of the rail transit.
Preferably, the following components: the diagnosis module comprises a detection module and a determination module, the detection module determines the detection result of uploaded target data by using multi-professional data resources, the detection result is retrieved and compared with the multi-professional data resources, the data is analyzed systematically by combining with ordinary running data of the vehicle and the like, the determination module is used for determining the fault reason of the part to be detected according to the corresponding relation between the detection result and the fault reason, so that the specific relief of the maintenance of the vehicle is judged, the maintenance personnel can maintain rapidly according to the fault reason conveniently in the later period, and the pertinence of the maintenance is ensured.
Preferably: the intelligent DCS technology in the step S2 comprises a field control level (namely a data acquisition device), a process control level (namely a field control unit or a basic controller), a process management level (namely a man-machine interface device) and an operation management level, and has the advantages of high reliability, openness, flexibility, easiness in maintenance, complete harmony and control functions, information sharing and coordination of the whole system so as to complete the overall functions and optimization processing of the control system.
Preferably: the history database includes: the device installation record, the device operation data, the device delivery data, the related test report, the device operation parameters, the maintenance record, the maintenance time, the failure times and the like, so that the maintenance history can be conveniently and comprehensively known before maintenance, and the later-stage maintenance quality can be ensured.
Preferably: the LRU maintenance system comprises a safety class, a function class and an economy class, wherein the safety class comprises a vehicle door management system, a traction system, a brake system and the like, the classification of threats can be caused to vehicle operation when faults occur is indicated, the function class comprises an air conditioning system and the like, the comfort level of passengers can be reduced when faults occur, the economy class comprises an internal board, a passenger room television and the like, the safety, the function and the order are not influenced when the faults occur, the LRU maintenance system can be divided according to different classifications and influence levels, then other influence factors are further considered, and an LRU maintenance strategy is specified.
The LRU maintenance strategy is as shown in figure I. The preventive maintenance mainly refers to a series of maintenance strategies developed on the premise that the equipment is not in failure or damaged, and all activities are carried out by regularly carrying out systematic inspection, equipment testing and replacement on components to prevent functional failure from occurring so as to keep the components in a specified state; corrective maintenance refers to an unscheduled sequence of activities performed to restore a device to a prescribed state after it has failed; the invisible fault refers to whether the fault of the LRU can be discovered by a driver and a passenger at the first time and is treated correspondingly in the operation process of the vehicle, and if the bolt at a certain position below the vehicle is loosened or broken, the fault is an invisible fault; the maintainability refers to the convenience of LRU fault handling, and whether rapid repair or replacement can be carried out under the condition of not consuming more resources; the monitoring measures refer to whether the LRU fault can be found in time, and mainly depend on a novel vehicle video monitoring system, such as bow net monitoring, shaft temperature monitoring and the like.
Preferably: the 25HZ phase sensitive track circuit centralized maintenance method comprises the following steps: firstly, the external inspection of equipment before the point is carried out, the foundation hilling is ensured to be firm, no crack and no inclination exist, then the insulation of a test track, the poor insulation is changed, a wire and a component are arranged, then the internal inspection of a box at a power transmission end (a power receiving section) is carried out, the arrangement is ensured to be neat and attractive, a wire end is inactive, a terminal seat is firmly installed, various nameplates in the box are complete, then the internal inspection of a choke transformer is carried out, the first-order voltage balance of the transformer is ensured, then I-level test and recording are carried out, then the internal detection of the box at a power receiving end (a power transmission end) is carried out, ventilation and dustproof conditions are maintained, finally, the internal cleaning of the box is carried out, oil decoration is carried out on the equipment, a code is written, and the overhaul of a circuit is completed.
Preferably: the maintenance department includes maintenance robot and inspection maintenance personnel, maintenance robot includes equipment such as flexible arm and high definition digtal camera, can shoot and observe the condition of vehicle lower part, will shoot the image transmission to maintenance department and maintenance center, relevant personnel discern and compare the picture content, thereby the situation of equipment under the car, the performance is held, can reduce the maintenance personnel number of times of examining and repairing under the car, alleviate its work burden, also can improve the pertinence of maintenance, inspection maintenance personnel can shoot the vehicle that patrols or power supply, unusual situation such as platform door simultaneously, transmit to maintenance department and maintenance center, conveniently go up the trouble problem fast, the record, select suitable maintenance mode to maintain, guarantee the quality of maintenance.
The maintenance department needs to follow the overhaul technical standard, the overhaul technical standard is the quality standard of the overhaul of the urban rail transit vehicles, and the maintenance department has regulations and lines and mainly specifies the technical requirements, overhaul limits, spare part interchange ranges of all overhaul ranges and the like of the overhaul of the urban rail transit vehicles, such as railway vehicle operation regulations and railway vehicle regular overhaul regulations issued by the general company of China.
The common rail transit maintenance modes comprise autonomous maintenance, cooperative maintenance and entrusted maintenance, and the most common type in the urban rail transit maintenance modes during autonomous maintenance is mainly that an urban rail transit company carries out maintenance according to the current situation of a vehicle and can carry out targeted maintenance on different types of equipment; the cooperative maintenance mainly comprises the steps that corresponding training is conducted on maintenance personnel by a vehicle manufacturer, the maintenance personnel can master professional maintenance skills, and the vehicle is maintained by cooperation of the maintenance personnel and the maintenance personnel; the entrusted maintenance is that the manufacturer maintains the vehicle in the whole course, and the maintenance department can select the maintenance mode according to the actual fault condition of the vehicle so as to achieve all the activities of the vehicle in the specified state.
Preferably: HY-UR-5820 model can be selected as the electronic tag, a reader and an antenna are contained in the electronic tag, data such as overhaul parameters, overhaul dates, part models and part types of parts to be inspected can be read conveniently, maintenance personnel can rewrite the internal data conveniently, and multiple professional data resources comprise specialties such as vehicles, power supplies, signals, platform doors and rail bow nets and further comprise specialties such as power transformation, bridges and tunnels, building and contact nets.
Preferably: the actual fault maintenance information of different categories purpose compares according to many professional data resources, generates different specialty and classifies, including fault information such as vehicle, power supply, signal, platform door, confirms the fault type of waiting to examine the part, conveniently distributes different fault types to professional maintainer, and after the maintainer received fault information, the maintenance that can be quick was overhauld, and the quality of overhauing obtains improving.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.
Claims (9)
1. A multi-professional comprehensive maintenance method for rail transit is characterized by comprising the following steps:
s1: the method comprises the steps that a big data platform is used for uploading and storing multi-professional data resources related to rail transit, the multi-professional data resources are integrated and are managed in a unified mode, the big data platform comprises a monitoring module, a fault analysis module and a diagnosis module, the uploaded target data are monitored, analyzed and diagnosed according to the stored multi-professional data, and the analysis results of the big data platform are displayed through a data display module;
s2: according to the step S1, acquiring a historical database in a big data platform by using an intelligent DCS technology, checking the maintenance record and the maintenance time of the previous round, acquiring identification data of each part to be detected provided with an electronic tag, and guiding the maintenance operation of the round based on the maintenance record data of the previous round;
s3: utilizing an LRU maintenance system to collect, integrate and manage identification data of each part to be detected, then importing the collected information into a big data platform for fault analysis and diagnosis, obtaining fault maintenance information, classifying according to the fault maintenance information, and generating actual fault maintenance information of different categories;
s4: according to the step S3, the communication module is used for sending fault maintenance instructions to the maintenance center for the actual fault maintenance information of different categories, the maintenance center receives the fault maintenance instructions, and the generation module is used for classifying and generating the actual fault maintenance information of different categories and then distributing the actual fault maintenance information to each maintenance department to execute maintenance targets;
s5: and receiving an instruction of the remote terminal by a maintenance department, and determining maintenance information and a corresponding fault maintenance method according to the instruction to realize multi-professional maintenance of the rail transit.
2. The comprehensive maintenance method for multiple specialties of rail transit according to claim 1, wherein the diagnosis module comprises a detection module and a determination module, the detection module determines a detection result of uploaded target data by using multiple speciality data resources, and the determination module is used for determining a fault reason of a part to be detected according to a corresponding relation between the detection result and the fault reason.
3. The comprehensive maintenance method for multiple specialties of rail transit according to claim 1, wherein the intelligent DCS technology in step S2 includes a field control level (i.e., data acquisition device), a process control level (i.e., field control unit or basic controller), a process management level (i.e., human interface device), and an administration level.
4. The comprehensive maintenance method for multiple specialties of rail transit according to claim 1, wherein the historical database comprises: equipment installation records, equipment operation data, equipment delivery data, relevant test reports, equipment operation parameters, maintenance records, maintenance time, failure times and the like.
5. The comprehensive maintenance method for multi-profession rail transit according to claim 1, wherein the LRU maintenance system comprises a security class, a function class and an economy class, the security class comprises a car door management system, a traction system, a brake system and the like, the function class comprises an air conditioning system and the like, and the economy class comprises an interior panel, a passenger room television and the like.
6. The comprehensive maintenance method for multiple specialties of rail transit according to claim 1, wherein the step of centralized maintenance of the 25HZ phase-sensitive rail circuit comprises the following steps: firstly, performing equipment external inspection before a point, then performing power transmission end (power receiving section) box internal inspection and choke transformer internal inspection, then performing I-level test and recording, then performing power receiving end (power transmission end) box internal inspection, finally cleaning the box, performing equipment oil decoration and writing codes.
7. The comprehensive maintenance method for multiple professions of rail transit according to claim 1, wherein the maintenance department comprises a maintenance robot and a patrol maintenance worker, the maintenance robot comprises a telescopic arm, a high-definition camera and the like, and shot images are transmitted to the maintenance department and a maintenance center.
8. The comprehensive maintenance method for multiple specialties of rail transit according to claim 1, wherein the electronic tag contains maintenance parameters, maintenance dates, part types and part types of parts to be detected, and the multiple specialties data resources comprise specialties such as vehicles, power supplies, signals, platform doors and rail bow nets and also comprise specialties such as power transformation, bridge and tunnel, building houses and contact nets.
9. The comprehensive maintenance method for multiple specialties of rail transit according to claim 8, wherein the actual fault maintenance information of different categories is compared according to multiple speciality data resources, different specialities are generated for classification, fault information including vehicles, power supplies, signals, platform doors and the like is included, and the fault type of the part to be detected is determined.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211374745.5A CN115730921A (en) | 2022-11-04 | 2022-11-04 | Multi-professional comprehensive maintenance method for rail transit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211374745.5A CN115730921A (en) | 2022-11-04 | 2022-11-04 | Multi-professional comprehensive maintenance method for rail transit |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115730921A true CN115730921A (en) | 2023-03-03 |
Family
ID=85294573
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211374745.5A Pending CN115730921A (en) | 2022-11-04 | 2022-11-04 | Multi-professional comprehensive maintenance method for rail transit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115730921A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116485212A (en) * | 2023-06-25 | 2023-07-25 | 天津津轨汇海科技发展有限公司 | Safe operation management method and system for rail transit power supply equipment |
-
2022
- 2022-11-04 CN CN202211374745.5A patent/CN115730921A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116485212A (en) * | 2023-06-25 | 2023-07-25 | 天津津轨汇海科技发展有限公司 | Safe operation management method and system for rail transit power supply equipment |
| CN116485212B (en) * | 2023-06-25 | 2023-09-12 | 天津津轨汇海科技发展有限公司 | Safe operation management method and system for rail transit power supply equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP3787010B2 (en) | Apparatus and method for comparing machines in a fleet | |
| CA2382972C (en) | Apparatus and method for managing a fleet of mobile assets | |
| CN109189019B (en) | Standardized monitoring system for locomotive crew member value taking | |
| US8996235B2 (en) | Repair assist system for vehicle servicing | |
| CN105083331B (en) | Operation management system for locomotive running preparation | |
| US20030055666A1 (en) | System and method for managing a fleet of remote assets | |
| US20090265055A1 (en) | System and method for performing automotive diagnostics | |
| CN105354673A (en) | Vehicle servicing preparation management system and method | |
| CN115730921A (en) | Multi-professional comprehensive maintenance method for rail transit | |
| EP1248981B1 (en) | Apparatus and method for performance and fault data analysis | |
| KR100564362B1 (en) | Prevention system and the method for maintenance of railway car using RAMS analysis | |
| CN114118470B (en) | Intelligent control method and system for production operation of full-automatic driving vehicle base | |
| CN114338741A (en) | Intelligent operation and maintenance management system for vehicle | |
| KR102189638B1 (en) | System for maintenance of the electric multiple unit using device for technician and Method thereof | |
| CN116772868B (en) | Distribution room inspection robot and automatic inspection method thereof | |
| CN110264585A (en) | Public transport diagnostic system after sale | |
| CN113650648B (en) | Operation monitoring and maintenance system of straddle type monorail turnout | |
| CN109684409B (en) | Shield construction supervision method | |
| CN215932668U (en) | Health management and 5G remote operation and maintenance system of hot blowing type snow sweeper | |
| CN109268248A (en) | Portable air compressor test device and method | |
| CN115167375A (en) | Online cleaning vehicle fault detection system based on Internet of things | |
| KR102262655B1 (en) | System for smart maintenance of the electric multiple unit | |
| CN109754160B (en) | Shield construction supervision system | |
| CN113371039A (en) | Urban rail train inspection work learning system and implementation platform thereof | |
| CN111783485A (en) | Train inspection platform, terminal and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |