CN114492870A - Fault processing method, device and system for rail transit signal equipment - Google Patents

Fault processing method, device and system for rail transit signal equipment Download PDF

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CN114492870A
CN114492870A CN202210095290.7A CN202210095290A CN114492870A CN 114492870 A CN114492870 A CN 114492870A CN 202210095290 A CN202210095290 A CN 202210095290A CN 114492870 A CN114492870 A CN 114492870A
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fault
maintenance
information
scheme
tasks
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严建鹏
杨洪祥
吕福健
吴鸿祥
韦应娜
吉祥
金秋含
常虹
江丙贤
宋伟军
郝青生
张永良
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Beijing Helishi System Integration Co ltd
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Abstract

The application discloses a fault processing method and a fault processing device for rail transit signal equipment, wherein the method comprises the steps of obtaining fault information of the signal equipment, operation data of each signal equipment and monitoring data; the operation data comprises operation data in a preset time period before and after a fault occurs; performing fault location and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data; distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks; the distributed maintenance tasks and the allocated resources are sent to maintenance personnel, so that the fault repair time can be shortened, the maintenance work quality can be improved, the labor intensity of the personnel can be reduced, and the purposes of reducing the maintenance cost and the management cost can be achieved.

Description

Fault processing method, device and system for rail transit signal equipment
Technical Field
The application relates to the technical field of intelligent operation and maintenance of urban rail transit, in particular to a rail transit signal equipment fault processing method, device and system.
Background
The urban rail transit signal system is key technical equipment for ensuring normal operation of a train. In the daily operation process, once a signal device fails, the degradation control of a signal system is often caused, and even the normal operation is interrupted. Therefore, in order to quickly locate a specific fault point and take scientific and reasonable measures to repair the fault when the equipment has a fault, the availability design index of the signal system requires that the fault can be located to an online Replaceable Unit (LRU) after the fault occurs, but for more complex faults which affect each other between the equipment, the system is often difficult to give an accurate judgment and processing scheme. In the aspect of field maintenance, a first-line maintainer in charge of daily maintenance work of the signal equipment is required to have firm service capability, abundant first-line equipment maintenance experience, skillful skill level and good psychological quality, and when a fault occurs, the fault position can be quickly judged, the fault can be eliminated in a short time as much as possible, and the system function and the normal driving order can be restored. Meanwhile, the operation and maintenance department, the professional shift and the multiple professions need to have higher cooperative working capacity and uniform resource allocation capacity. However, in the maintenance work of the actual signal equipment, because the signal system is large and complex, the fault is often not easily and quickly located to a specific LRU by manual experience. In addition, in the process of analyzing and judging the fault position and taking fault handling measures, the experience of field personnel and the summary of the conventional fault handling measures are relied more, and intelligent information support and detailed paperless record of the whole process are lacked. In addition, when a fault is responded, resources such as available communication equipment, spare parts, tools, manpower, drawings and the like need to be manually and synchronously allocated on site according to a fault responding scheme, so that time and labor are wasted, and mistakes are easily made in busy hours. After the fault is disposed, the whole processing process needs to be summarized in detail, and the analysis is insufficient, the learning experience and the training are needed. The whole process lacks systematic and automatic auxiliary maintenance equipment.
At present, in most urban rail transit lines, maintenance work of signal equipment is basically completed by a large number of operation and maintenance engineers in the same line and experienced technologies, fault analysis and processing are completely completed by experience and judgment of correctness at the first time, and resource allocation is also completely completed by manpower. The operation and maintenance work of the signal equipment is faced with the problems of serious dependence on manual experience, lack of automatic auxiliary technical means, high manpower and management cost, high guarantee difficulty, incomplete information loss, incapability of digitalizing and instantiating maintenance experience and knowledge and the like. Therefore, an intelligent maintenance auxiliary system is urgently needed, when a signal device fails, the system can automatically analyze and judge the position and the characteristics of the fault, automatically generate a maintenance scheme, automatically allocate various resources, record the whole maintenance processing process and make experience knowledge.
Disclosure of Invention
The application provides a fault processing method, a fault processing device and a fault processing system for rail transit signal equipment, which can shorten the fault repairing time, improve the maintenance work quality, reduce the labor intensity of personnel and achieve the purpose of reducing the maintenance cost and the management cost.
The application provides a fault processing method for rail transit signal equipment, which comprises the following steps:
acquiring fault information of the signal equipment, operation data of each signal equipment and monitoring data; the operation data comprises operation data in a preset time period before and after a fault occurs; the monitoring data comprises monitoring data of each signal device and data monitored by auxiliary detection devices;
performing fault location and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data;
distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks;
and sending the distributed maintenance tasks and the allocated resources to maintenance personnel.
In an exemplary embodiment, before sending the assigned maintenance task and the allocated resources to the maintenance personnel, the method further comprises:
and initiating a flow application to a dispatching command system.
In an exemplary embodiment, the fault location according to the fault information, the operation data of each signal device, and the monitoring data includes:
extracting fault characteristics according to the fault information; determining the possible position of the fault according to the fault characteristics and the preset all-line signal system architecture and interface relation;
and determining the accurate position of the fault according to the possible position, the operation data of each signal device and the monitoring data.
In an exemplary embodiment, the generating the troubleshooting plan includes:
generating a fault handling suggestion according to the fault characteristics and a preset maintenance knowledge base;
and generating a fault maintenance scheme according to the confirmation information or the modification information of the fault handling suggestion by the maintenance personnel.
In an exemplary embodiment, the repair knowledge base includes typical failure cases, various failure handling plans;
generating a fault handling suggestion according to the fault characteristics and a preset maintenance knowledge base, wherein the fault handling suggestion comprises the following steps:
inquiring a coping plan with similar characteristics from a preset maintenance knowledge base according to the fault characteristics, and taking the inquired coping plan as an emergency disposal scheme;
and matching the fault characteristics with the typical fault case, and generating a fault disposal suggestion by combining the emergency disposal scheme.
In an exemplary embodiment, assigning the maintenance task includes:
and performing multi-stage decomposition on the maintenance tasks, and distributing different tasks to different maintenance personnel.
In an exemplary embodiment, the scheduling of the repair resources required for the repair task further includes:
when the material in the maintenance resources is smaller than a preset threshold value, applying for supplementary material to an asset management system;
sending the allocated maintenance tasks and allocated resources to maintenance personnel, further comprising:
providing the position of resources required by maintenance according to the position of the maintenance personnel, and providing the optimal route information between the position of the maintenance personnel and the position with the fault;
and pushing the maintenance steps and the guidance information of each maintenance step to the maintenance personnel.
In an exemplary embodiment, the execution process of each maintenance task is recorded and evaluated; and optimizes the execution process and the troubleshooting scheme.
In an exemplary embodiment, after a fault is repaired, repairing reminding information is pushed to a maintenance worker;
and after the fault is repaired, generating a typical fault case according to the fault information and the fault maintenance scheme, and storing the typical fault case.
The application provides a fault processing device of rail transit signal equipment, which comprises a memory and a processor,
the memory is used for storing a program for fault processing of the rail transit signal equipment;
the processor is used for reading the program for executing the fault processing of the rail transit signal equipment and executing the following operations:
acquiring fault information of the signal equipment, operation data of each signal equipment and monitoring data; the operation data comprises operation data in a preset time period before and after a fault occurs; the monitoring data comprises monitoring data of each signal device and data monitored by auxiliary detection devices;
performing fault location and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data;
distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks;
sending the assigned maintenance tasks and allocated resources to maintenance personnel
In an exemplary embodiment, before sending the assigned maintenance task and the allocated resources to the maintenance personnel, the method further comprises:
and initiating a flow application to a dispatching command system.
In an exemplary embodiment, the fault location according to the fault information, the operation data of each signal device, and the monitoring data includes:
extracting fault characteristics according to the fault information; determining the possible position of the fault according to the fault characteristics and the preset all-line signal system architecture and interface relation;
and determining the accurate position of the fault according to the possible position, the operation data of each signal device and the monitoring data.
In an exemplary embodiment, the generating the troubleshooting plan includes:
generating a fault handling suggestion according to the fault characteristics and a preset maintenance knowledge base;
and generating a fault maintenance scheme according to the confirmation information or the modification information of the fault handling suggestion by the maintenance personnel.
In an exemplary embodiment, the repair knowledge base includes typical failure cases, various failure handling plans;
generating a fault handling suggestion according to the fault characteristics and a preset maintenance knowledge base, wherein the fault handling suggestion comprises the following steps:
inquiring a coping plan with similar characteristics from a preset maintenance knowledge base according to the fault characteristics, and taking the inquired coping plan as an emergency disposal scheme;
and matching the fault characteristics with the typical fault case, and generating a fault disposal suggestion by combining the emergency disposal scheme.
In an exemplary embodiment, assigning the maintenance task includes:
and performing multi-stage decomposition on the maintenance tasks, and distributing different tasks to different maintenance personnel.
In an exemplary embodiment, the scheduling of the repair resources required for the repair task further includes:
when the material in the maintenance resources is smaller than a preset threshold value, applying for supplementary material to an asset management system;
sending the allocated maintenance tasks and allocated resources to maintenance personnel, further comprising:
providing the position of resources required by maintenance according to the position of the maintenance personnel, and providing the optimal route information between the position of the maintenance personnel and the position with the fault;
and pushing the maintenance steps and the guidance information of each maintenance step to a maintenance person.
In an exemplary embodiment, the execution process of each maintenance task is recorded and evaluated; and optimizes the execution process and the troubleshooting scheme.
In an exemplary embodiment, after a fault is repaired, repairing reminding information is pushed to a maintenance worker;
and after the fault is repaired, generating a typical fault case according to the fault information and the fault maintenance scheme, and storing the typical fault case.
The application provides a track traffic signal equipment fault handling system, includes:
a monitoring unit configured to monitor each signal device; when the signal equipment is detected to be out of order, transmitting the failure information, the operation data of each signal equipment and the monitoring data to a maintenance unit; the operation data comprises operation data in a preset time period before and after a fault occurs; the monitoring data comprises monitoring data of each signal device and data monitored by auxiliary detection devices;
the maintenance unit is arranged for carrying out fault positioning and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data;
distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks;
and sending the distributed maintenance tasks and the allocated resources to maintenance personnel.
In an exemplary embodiment, the system further comprises a display unit;
the display unit is arranged to display various information of the system to maintenance personnel and complete a man-machine cooperation function according to an operation instruction of the maintenance personnel.
The application includes the following advantages:
according to at least one embodiment of the method, a fault point can be rapidly and automatically positioned under the condition that the rail transit signal equipment has a fault, and a fault handling scheme is generated;
at least one embodiment of the application automatically allocates maintenance resources (people, equipment, tools, drawings, vehicles, communication tools, etc.);
at least one embodiment of the application automatically allocates work tasks and supervises completion;
at least one embodiment of the application automatically connects an asset management system to apply for supplemental supplies; at least one embodiment of the application is automatically connected with a scheduling plan management system to apply for maintenance of the skylight;
at least one embodiment of the present application automatically evaluates maintenance work.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. Other advantages of the present application may be realized and attained by the instrumentalities and combinations particularly pointed out in the specification and the drawings.
Drawings
The accompanying drawings are included to provide an understanding of the present disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the examples serve to explain the principles of the disclosure and not to limit the disclosure.
Fig. 1 is a flowchart of a method for processing a fault of a rail transit signal device according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an intelligent fault assistance system for rail transit signal equipment according to an embodiment of the present application;
FIG. 3 is a flow chart of an implementation of the intelligent fault assistance system for rail transit signal equipment according to the embodiment of the present application;
FIG. 4 is a schematic diagram of a fault intelligent processing flow of a rail transit signal device according to an embodiment of the present application;
fig. 5 is a schematic view of a fault handling device of a rail transit signal device according to an embodiment of the present application;
fig. 6 is a schematic diagram of a fault handling system of a rail transit signal device according to an embodiment of the present application.
Detailed Description
Fig. 1 is a flowchart of a fault handling method for a rail transit signal device according to an embodiment of the present application, and as shown in fig. 1, the fault handling method for a rail transit signal device according to the present embodiment includes steps S11-S14:
s11, acquiring fault information of the signal equipment, operation data of each signal equipment and monitoring data;
s12, performing fault location and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data;
s13, distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks;
and S14, sending the distributed maintenance tasks and the allocated resources to maintenance personnel.
In an exemplary embodiment, the signal devices may include a vehicle-mounted signal device, a control center signal device, a station indoor signal device, a section indoor signal device, and an outdoor signal device. The environment of the equipment room can be detected.
In an exemplary embodiment, fault location may be located to an online Replaceable Unit (i.e., LRU).
In an exemplary embodiment, the operation data includes operation data within a preset time period before and after the occurrence of the fault.
In an exemplary embodiment, the monitoring data includes monitoring data of each signal device itself and monitoring data of the auxiliary detection device. For example, the auxiliary monitoring tools include various sensors (such as sensors for detecting voltage, current, pressure, temperature, humidity and vibration), cameras, and detection instrument devices (such as switch gap monitoring, fault detection of signal lamp filaments or light emitting panels, environmental devices in equipment rooms, and the like).
In an exemplary embodiment, the fault location according to the fault information, the operation data of each signal device, and the monitoring data includes:
extracting fault characteristics according to the fault information; determining the possible position of the fault according to the fault characteristics and the preset all-line signal system architecture and interface relation;
and determining the accurate position of the fault according to the possible position, the operation data of each signal device and the monitoring data.
In an exemplary embodiment, the repair resources include at least one of:
maintenance personnel, spare parts, maintenance tools and instruments.
In an exemplary embodiment, before sending the assigned maintenance task and the allocated resources to the maintenance personnel, the method further comprises: and initiating a flow application to a dispatching command system.
In an exemplary embodiment, assigning the maintenance task includes:
and performing multi-stage decomposition on the maintenance tasks, and distributing different tasks to different maintenance personnel. The maintenance personnel work separately and cooperate with each other in a group or individual soldier cooperation mode.
In an exemplary embodiment, the scheduling of the repair resources required for the repair task further includes:
and when the material in the maintenance resources is smaller than a preset threshold value, applying for supplementing the material to the asset management system.
In an exemplary embodiment, according to the position of the maintenance personnel, providing the position of resources required for maintenance, and providing the optimal route information between the position of the maintenance personnel and the position with the fault;
and pushing the maintenance steps and the guidance information of each maintenance step to a maintenance person.
In an exemplary embodiment, the execution process of each maintenance task is recorded and evaluated; and optimizes the execution process and the troubleshooting scheme.
In an exemplary embodiment, after the fault is repaired, repair reminding information is pushed to maintenance personnel.
In an exemplary embodiment, after the fault is repaired, a typical fault case is generated according to the fault information and the fault maintenance scheme, and the typical fault case is saved.
In an exemplary embodiment, typical fault cases may be saved in a repair repository.
In an exemplary embodiment, the troubleshooting plan includes at least one of:
relevant information of fault equipment, fault processing steps, a key of the fault processing steps and a fault processing video.
Wherein, the maintenance knowledge base comprises typical fault cases and various fault handling plans.
In an exemplary embodiment, generating a fault handling recommendation according to the fault characteristics and a preset maintenance knowledge base includes:
inquiring a coping plan with similar characteristics from a preset maintenance knowledge base according to the fault characteristics, and taking the inquired coping plan as an emergency disposal scheme;
and matching the fault characteristics with the typical fault case, and generating a fault disposal suggestion by combining the emergency disposal scheme.
In an exemplary embodiment, the coping plans with similar characteristics may be coping plans with the same characteristics or with similar characteristics.
The fault processing method is not only suitable for urban rail transit systems and intercity line systems, but also can be used for systems such as national railways and the like.
The application includes the following advantages:
according to at least one embodiment of the method, a fault point can be rapidly and automatically positioned under the condition that the rail transit signal equipment has a fault, and a fault handling scheme is generated;
at least one embodiment of the application automatically allocates maintenance resources (people, equipment, tools, drawings, vehicles, communication tools, etc.);
at least one embodiment of the application automatically allocates work tasks and supervises completion;
at least one embodiment of the application automatically connects an asset management system to apply for supplemental supplies; at least one embodiment of the application is automatically connected with a scheduling plan management system to apply for maintenance of the skylight;
at least one embodiment of the present application automatically evaluates maintenance work.
Fig. 2 is a schematic view of an intelligent auxiliary system for a rail transit signal equipment fault according to an embodiment of the present application, and as shown in fig. 2, the intelligent auxiliary system includes a data acquisition layer at an equipment data acquisition side, a maintenance service layer at a maintenance center side, and a display control layer.
The data acquisition layer comprises a state online centralized monitoring module, and the module is used for intensively acquiring running information and maintenance related data of vehicle-mounted signal equipment, control center signal equipment, station indoor signal equipment, vehicle section indoor signal equipment and outdoor trackside signal equipment, environmental monitoring data of an equipment room and the like, and providing comprehensive and sufficient basic data support for maintenance service.
The maintenance business layer comprises a fault positioning module, a fault comprehensive analysis module, a maintenance plan and fault case matching module, a fault processing and emergency linkage module, a maintenance resource management module, a maintenance assistance and guidance module, a maintenance knowledge base module and a maintenance machine account module.
The maintenance resource management module may have an interface with the asset management system for obtaining resource information of devices, spare parts, maintenance tools and instruments, maintenance communication devices, and the like. The maintenance resource management module can be provided with an interface with the personnel management system, and is used for inquiring information of maintenance personnel, acquiring resource information such as skills, fault processing experience and the like of the maintenance personnel and providing resource scheduling and support for fault processing.
The display control layer may include an interface display and manipulation module.
And the fault positioning module is used for analyzing the position of the fault and primarily locking the fault equipment. The module is pre-stored with a whole Line signal system architecture and an interface relationship, and is refined to each LRU (Line Replaceable Unit) function and the cooperative relationship between the interfaces and the whole. When the system monitors fault alarm information, the system screens out possible associated equipment of the fault by analyzing characteristic information such as time, source, grade, fault code and the like of the alarm information so as to lock a local range where the fault is located, give a possible position of a fault point and provide an analysis result to a fault comprehensive analysis module.
And the fault comprehensive analysis module is used for synthesizing other information such as system equipment operation data, monitoring data and the like on the basis of the analysis result of the fault positioning module, further analyzing the accurate position of the fault, generating a fault disposal suggestion scheme according to the fault characteristics and automatically pushing the scheme to the display and control module of the display control layer interface. Meanwhile, according to the receiving condition of the maintenance terminal on the fault handling proposal manually or the manual modification condition of the fault handling proposal provided by the system, a formal fault maintenance scheme is generated and sent to the fault handling and emergency linkage module. When the system monitors fault alarm information, the fault comprehensive analysis module can automatically intercept operation information of related equipment within a certain time before and after a fault, analyze fault types, fault influence degrees, possible reasons and the like based on various operations and events before the fault, phenomena and states after the fault and the like, and further judge and lock the position of a fault point and fault characteristics by combining the analysis result of the fault positioning module. And automatically generating a fault handling proposal according to the maintenance plan and the information provided by the fault case matching module by combining the fault characteristics, and pushing the proposal to a maintenance terminal interface through an interface display and operation module. The fault handling proposal scheme comprises a fault handling mode, specific handling measures, required resources and the like. After receiving the receiving or modifying operation of the fault handling proposal by the maintenance terminal, the system automatically generates a formal maintenance proposal and provides the formal maintenance proposal for the fault handling and emergency linkage module to execute. The fault handling proposal scheme generated by the module can be manually edited on a maintenance terminal interface, so that maintenance personnel can check, modify, add other necessary measures or add remarks and the like conveniently.
The maintenance business layer maintenance plan and fault case matching module is used for automatically inquiring the maintenance knowledge base according to the fault characteristic information, providing a fault emergency disposal plan, matching the fault case and providing support for the fault comprehensive analysis module to generate a fault disposal suggestion scheme. The system can store typical fault cases formed by common faults of the signal system into a maintenance knowledge base in advance, and simultaneously, various fault coping plans are made in advance according to information such as signal system function design, fault types, fault influence degrees, fault processing experiences, maintenance rules, maintenance strategies and the like, and are stored in the maintenance knowledge base.
The maintenance service layer maintenance auxiliary guide module is used for providing information related to fault equipment for maintenance personnel by inquiring a maintenance knowledge base according to fault characteristic information, generating fault processing steps and a key of each step, providing information such as videos of fault processing and the like, helping the maintenance personnel to quickly master a fault processing method and shortening fault repairing time. Information related to the fault, auxiliary videos, and the like are stored in a repair knowledge base.
And the maintenance service layer maintenance resource management module is used for intelligently inquiring and allocating the resources such as personnel, spare parts, maintenance tools, instruments and the like required by maintenance, and providing a required resource list, the positions, the quantity and the available states of key resources for the maintenance personnel. Meanwhile, the on-duty maintenance personnel are automatically searched according to the maintenance scheme received by the fault processing and emergency linkage module, and the information such as the position of the maintenance resource, the optimal route to the fault point and the like is automatically provided for the maintenance personnel according to the position of the maintenance personnel. In addition, the module can automatically initiate a supplement application to the asset management system according to the consumption condition of spare parts, automatically update the state of the replaced equipment or parts to be repaired or repaired through the electronic tag, and automatically generate a repair manual order for the replaced equipment or parts. When a maintenance person becomes disconnected, the module will automatically report to the maintenance task team leader and reassign the task to other people in the same team.
The maintenance service layer fault processing and emergency linkage module is used for executing a maintenance scheme, distributing maintenance tasks, generating a maintenance work order, pushing related information to a maintenance terminal in real time according to the maintenance scheme execution condition, and providing the maintenance work order and the related information to field maintenance personnel in real time through mobile terminal APP micro-service so as to manage and control the whole maintenance process. The specific functions and implementation process of the method comprise the steps of obtaining maintenance resource information through a maintenance resource management module after a maintenance scheme is received, and automatically distributing maintenance tasks according to the maintenance scheme, wherein the maintenance tasks comprise task decomposition, an automatic task list and maintenance guide information of main steps. The module can automatically carry out multi-stage decomposition on the tasks according to the specific requirements of the maintenance scheme, different task lists are provided to different maintenance personnel, and meanwhile, maintenance experts can be called to carry out remote technical support according to the difficulty degree and the progress condition of maintenance work. After the maintenance is manually executed, the module can automatically push the maintenance steps and the guiding information of each step to maintenance personnel according to the information provided by the maintenance auxiliary guiding module. And when the fault is repaired, the repair reminding after the fault is automatically provided for the maintenance terminal and the maintenance personnel. After the maintenance task is completed, the module can automatically provide on-site health and well-being prompts for on-site maintenance personnel. The module is also provided with an interface with a train operation dispatching command system (such as ATS or TIAS). When the fault maintenance scheme is determined, the module initiates a maintenance flow application to a dispatching command system according to the signal maintenance rule and automatically requests point registration; after fault handling is completed, when all operation safety conditions are met, on-site maintenance personnel are reminded to pass through the mobile terminal remote pin point. When a fault affecting the traveling crane occurs, the maintenance auxiliary system transmits information such as maintenance progress, maintenance results and the like to the dispatching command system through the interface, and information sharing between the dispatching system and the maintenance auxiliary system is realized.
And the maintenance platform account module of the maintenance center side maintenance service layer is used for recording and evaluating the whole maintenance process. The module carries out detailed recording on the whole process from the occurrence of the fault to the repair of the fault after all maintenance tasks are completely executed, and a fault maintenance ledger is formed. Meanwhile, the module also has a comprehensive evaluation function of the whole maintenance process, statistics and analysis are carried out on implementation time, working quality, errors, repeated operation and the like in stages in the whole maintenance process, evaluation is carried out according to the requirements of maintenance standards, and optimization and improvement suggestions related to maintenance strategies and skills are generated according to the statistics and analysis. And after evaluation, if the field maintenance personnel are found to be unskilled or lack of experience, a skill training promotion plan is automatically generated for the field maintenance personnel. In addition, the module also has the function of instantiating the fault, and forms a typical fault case by decomposing and secondarily recombining elements such as fault characteristics, a maintenance scheme, resource requirements, processing results and the like and puts the typical fault case into a maintenance knowledge base.
The maintenance knowledge base module of the maintenance center side maintenance service layer is used for storing related maintenance knowledge and experience, such as common signal faults and corresponding measures, signal equipment maintenance rules, maintenance plans, fault maintenance cases and the like in a classified manner, extracting requirements according to related module information and providing corresponding reserve information. Meanwhile, the module can be used for storing typical fault cases after system intelligent analysis and processing after the fault provided by the maintenance standing book module is repaired according to the knowledge base storage principle. The module is an important soft asset for signal system maintenance work and is a data core of the whole intelligent maintenance auxiliary system.
And the maintenance center side display control layer interface display and control module is used for realizing man-machine information interaction between the maintenance service layer and the maintenance terminal as well as between the maintenance service layer and field maintenance personnel. After receiving the information of the maintenance service layer, the module displays the information on a maintenance terminal interface and a mobile terminal App interface, receives an operation instruction of the maintenance terminal and an operation instruction of a mobile terminal App of field maintenance personnel, and provides the received instruction for a related module of the maintenance service layer.
In the system, the online centralized monitoring function of the state of the equipment data acquisition side is usually realized by the relevant software of a data acquisition server load-bearing system deployed in a station, a vehicle section/parking lot and a master/slave control center.
In the system, the maintenance service of the maintenance center side is realized by the application server carrying the maintenance related application software. And the storage of related data and knowledge such as a maintenance knowledge base is realized by carrying related database software by a data server.
In the system, the man-machine interaction of the maintenance center is realized by a maintenance terminal workstation and a maintenance intelligent display large screen carrying relevant maintenance terminal software. The man-machine interaction function of the mobile terminal of the field maintenance personnel is realized by APP micro-service software carried by the mobile terminal.
The process of processing the fault based on the intelligent auxiliary system for the fault of the urban rail transit signal equipment is shown in figure 3.
This application is based on urban rail transit signal equipment trouble intelligent auxiliary system, traditional fortune dimension mode of comparing adopts automatic, intelligent supplementary maintenance instrument, will originally artifical the execution, artifical participation, artifical judgement, the work of manual handling replaces with intelligent auxiliary system to provide three-dimensional comprehensive information service to the maintenance team, furthest reduces personnel intensity of labour, complete record fault handling process, with fault handling process intellectuality, knowledge, case instantiation. The system and the method break through the inefficient mode which depends on the experience of maintainers and manual resource allocation in the traditional maintenance mode, and replace the inefficient mode with an automatic and intelligent auxiliary mode, so that the signal system can be easily coped with when a fault occurs, the fault repairing work can be carried out regularly and orderly, the difficulty of manual fault analysis and the labor intensity of maintenance personnel are reduced, the fault processing time is shortened, especially the handling experience of the same kind of faults which have occurred before can be instantiated and knowledged, and the similar faults in the future have ready strategies and reference experiences. By the method, various resources can be fully utilized, so that the maintenance cost is reduced, and the maintenance quality of the signal equipment is effectively improved.
Fig. 4 is a schematic diagram of a process flow of intelligent processing of a rail transit signal device fault according to an embodiment of the present application, as shown in fig. 4, including the following steps S31-S38:
s31, when the signal equipment is monitored to have faults, sending fault information to a fault comprehensive analysis module;
s32, the fault comprehensive analysis module generates a fault disposal suggestion scheme through fault comprehensive analysis, fault positioning, fault feature extraction and fault case and maintenance case matching;
s33, sending the fault handling suggestion scheme to an interface display and operation module, and displaying the fault handling suggestion scheme to maintenance personnel through a maintenance terminal interface;
s34, the fault analysis module automatically generates a formal fault maintenance scheme according to the operation result of maintenance personnel on the maintenance terminal and sends the formal fault maintenance scheme to the fault processing and emergency linkage module;
s35, after the fault maintenance scheme is received by the fault processing and emergency linkage module, automatically distributing maintenance tasks and decomposing the maintenance tasks step by step; resources such as manpower, materials and the like required by maintenance are automatically allocated, after resource distribution information and a specific maintenance task are obtained, a task list is automatically generated and sent to field maintenance personnel identified by the system through a mobile terminal; after the maintenance task is distributed, automatically initiating a flow application to a dispatching command system according to the maintenance operation requirement;
s36, tracking the operation progress in real time, recording the whole maintenance process, forming a fault maintenance machine account, and managing and controlling the whole fault process;
and S37, after the fault is repaired, automatically giving fault repair reminding to maintenance personnel and dispatching and commanding personnel.
And S38, after the fault processing is finished, the system can comprehensively evaluate the whole fault processing process, generate maintenance strategy improvement suggestions, maintenance personnel skill improvement plans and the like according to the evaluation result, decompose the whole fault processing process and relevant elements to form typical fault cases and store the typical fault cases in a maintenance knowledge base, and realize the digital, routine and knowledge management of maintenance experience.
In step S32, the failure comprehensive analysis performs comprehensive analysis based on the type of failure, the influence program, the possible cause, the failure phenomenon, and the like. The fault handling proposal scheme comprises a processing mode, a handling measure, required resources and the like.
In step S35, the method further includes, after receiving the resource requirement and the maintenance task, automatically searching the resource location and information, and providing the location and the required quantity of available spare parts, tools, instruments, and other resources, and the optimal route to the fault point for the maintenance personnel. And the mobile terminal provides maintenance guide and auxiliary information for maintenance personnel, wherein the maintenance guide and auxiliary information comprises specific steps of maintenance tasks, prompt information related to each step, a video capable of being referred to and the like.
In step S37, a warranty reminder is also sent to the service personnel. And after the failures are completely finished, automatically sending failure disposal completion confirmation to field maintenance personnel. After the confirmation of the field maintenance personnel, when the system judges that the safety condition is met, the remote sales point of the field maintenance personnel is automatically reminded.
Compared with the traditional operation and maintenance mode, the intelligent auxiliary system and method based on the urban rail transit signal equipment fault adopt an automatic and intelligent auxiliary maintenance tool, replace the original work of manual execution, manual participation, manual judgment and manual processing by using the intelligent auxiliary system, provide three-dimensional comprehensive information service for a maintenance team, reduce the labor intensity of personnel to the maximum extent, completely record the fault processing process, and realize the intellectualization, the knowledge and the case instantiation of the fault processing process. The system and the method break through the inefficient mode which depends on the experience of maintainers and manual resource allocation in the traditional maintenance mode, and replace the inefficient mode with an automatic and intelligent auxiliary mode, so that the signal system can be easily coped with when a fault occurs, the fault repairing work can be carried out regularly and orderly, the difficulty of manual fault analysis and the labor intensity of maintenance personnel are reduced, the fault processing time is shortened, especially the handling experience of the same kind of faults which have occurred before can be instantiated and knowledged, and the similar faults in the future have ready strategies and reference experiences. By the method, various resources can be fully utilized, so that the maintenance cost is reduced, and the maintenance quality of the signal equipment is effectively improved.
Fig. 5 is a schematic diagram of a fault handling apparatus of a rail transit signal device according to an embodiment of the present application, as shown in fig. 5, the fault handling apparatus of the rail transit signal device according to the embodiment of the present application includes a memory and a processor,
the memory is used for storing a program for fault processing of the rail transit signal equipment;
the processor is used for reading and executing the program for processing the fault of the rail transit signal equipment and executing the fault processing method of the rail transit signal equipment.
Fig. 6 is a schematic diagram of a rail transit signal equipment fault handling system according to an embodiment of the present application, and as shown in fig. 6, the system includes a monitoring unit and a maintenance unit.
A monitoring unit configured to monitor each signal device; when the signal equipment is detected to be out of order, transmitting the failure information, the operation data of each signal equipment and the monitoring data to a maintenance unit; the operation data comprises operation data in a preset time period before and after a fault occurs; the monitoring data comprises monitoring data of each signal device and data monitored by auxiliary detection devices;
the maintenance unit is arranged for carrying out fault positioning and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data;
distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks;
and sending the distributed maintenance tasks and the allocated resources to maintenance personnel.
The present application describes embodiments, but the description is illustrative rather than limiting and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or instead of any other feature or element in any other embodiment, unless expressly limited otherwise.
It should be understood that any of the features shown and/or discussed in this application may be implemented separately or in any suitable combination. Further, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other orders of steps are possible as will be understood by those of ordinary skill in the art.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.

Claims (12)

1. A rail transit signal equipment fault processing method is characterized by comprising the following steps:
acquiring fault information of the signal equipment, operation data of each signal equipment and monitoring data; the operation data comprises operation data in a preset time period before and after a fault occurs; the monitoring data comprises monitoring data of each signal device and data monitored by auxiliary detection devices;
performing fault location and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data;
distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks;
and sending the distributed maintenance tasks and the allocated resources to maintenance personnel.
2. The method of claim 1, prior to sending the assigned maintenance tasks and the allocated resources to a maintenance person, further comprising:
and initiating a flow application to a dispatching command system.
3. The method of claim 1, wherein fault location is performed based on the fault information, operational data of the signal devices, and monitoring data, comprising:
extracting fault characteristics according to the fault information; determining the possible position of the fault according to the fault characteristics and the preset all-line signal system architecture and interface relation;
and determining the accurate position of the fault according to the possible position, the operation data of each signal device and the monitoring data.
4. The method of claim 3, the generating a troubleshooting plan comprising:
generating a fault handling suggestion according to the fault characteristics and a preset maintenance knowledge base;
and generating a fault maintenance scheme according to the confirmation information or the modification information of the fault handling suggestion by the maintenance personnel.
5. The method of claim 4,
the maintenance knowledge base comprises typical fault cases and various fault handling plans;
generating a fault handling suggestion according to the fault characteristics and a preset maintenance knowledge base, wherein the fault handling suggestion comprises the following steps:
inquiring a coping plan with similar characteristics from a preset maintenance knowledge base according to the fault characteristics, and taking the inquired coping plan as an emergency disposal scheme;
and matching the fault characteristics with the typical fault case, and generating a fault disposal suggestion by combining the emergency disposal scheme.
6. The method of claim 1, assigning a maintenance task comprising:
and performing multi-stage decomposition on the maintenance tasks, and distributing different tasks to different maintenance personnel.
7. The method of claim 1, performing an allocation of repair resources required for the repair task, further comprising:
when the material in the maintenance resources is smaller than a preset threshold value, applying for supplementary material to an asset management system;
sending the allocated maintenance tasks and allocated resources to maintenance personnel, further comprising:
providing the position of resources required by maintenance according to the position of the maintenance personnel, and providing the optimal route information between the position of the maintenance personnel and the position with the fault;
and pushing the maintenance steps and the guidance information of each maintenance step to a maintenance person.
8. The method of claim 1, further comprising:
recording the execution process of each maintenance task, and evaluating the execution process; and optimizes the execution process and the troubleshooting scheme.
9. The method of any of claims 1-5, further comprising:
after the fault is repaired, repairing reminding information is pushed to maintenance personnel;
and after the fault is repaired, generating a typical fault case according to the fault information and the fault maintenance scheme, and storing the typical fault case.
10. A rail transit signal equipment fault handling device, includes memory and treater, its characterized in that:
the memory is used for storing a program for fault processing of the rail transit signal equipment;
the processor, which is used for reading the program for executing the fault processing of the rail transit signal equipment, executes the method of any one of claims 1-9.
11. A rail transit signal equipment fault handling system, comprising:
a monitoring unit configured to monitor each signal device; when the signal equipment is detected to be out of order, transmitting the failure information, the operation data of each signal equipment and the monitoring data to a maintenance unit; the operation data comprises operation data in a preset time period before and after a fault occurs; the monitoring data comprises monitoring data of each signal device and data monitored by auxiliary detection devices;
the maintenance unit is arranged for carrying out fault positioning and generating a fault maintenance scheme according to the fault information, the operation data of each signal device and the monitoring data;
distributing maintenance tasks according to the fault maintenance scheme, and allocating maintenance resources required by the maintenance tasks;
and sending the distributed maintenance tasks and the allocated resources to maintenance personnel.
12. The system of claim 11,
the system further comprises a display unit;
the display unit is arranged to display various information of the system to maintenance personnel and complete a man-machine cooperation function according to an operation instruction of the maintenance personnel.
CN202210095290.7A 2022-01-26 2022-01-26 Fault processing method, device and system for rail transit signal equipment Pending CN114492870A (en)

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