WO2021027728A1 - Procédé, dispositif, système et appareil d'opération et de maintenance de transit ferroviaire, et support - Google Patents

Procédé, dispositif, système et appareil d'opération et de maintenance de transit ferroviaire, et support Download PDF

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Publication number
WO2021027728A1
WO2021027728A1 PCT/CN2020/107826 CN2020107826W WO2021027728A1 WO 2021027728 A1 WO2021027728 A1 WO 2021027728A1 CN 2020107826 W CN2020107826 W CN 2020107826W WO 2021027728 A1 WO2021027728 A1 WO 2021027728A1
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Prior art keywords
maintenance
information
rail transit
equipment
transit operation
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PCT/CN2020/107826
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English (en)
Chinese (zh)
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付瑞林
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比亚迪股份有限公司
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Publication of WO2021027728A1 publication Critical patent/WO2021027728A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition

Definitions

  • the present disclosure relates to the field of information technology, and in particular to a rail transit operation and maintenance method, device, system, equipment and medium.
  • the existing rail transit operation and maintenance system does not have the function of real-time monitoring of the operating status of the equipment, and the maintenance methods are mainly planned maintenance and daily inspections, and the maintenance cost is relatively high.
  • the asset management system in the rail transit operation and maintenance system cannot be fully interconnected with the various rail transit operation subsystems, resulting in the existence of data islands, which makes the rail transit operation and maintenance system unable to provide an overall comprehensive operation and maintenance strategy.
  • the embodiments of the present disclosure provide a rail transit operation and maintenance method, device, equipment, and medium, so as to at least to a certain extent solve the data islands, poor operation and maintenance strategies, and maintenance of the prior art when the rail transit is operated and maintained.
  • a rail transit operation and maintenance method including:
  • a rail transit operation and maintenance device including:
  • the acquisition module is used to acquire the operating status information and/or system configuration information of each rail transit operation subsystem
  • the analysis and decision-making module is used to analyze the operation status information and/or the system configuration information to generate an operation and maintenance decision plan for the rail transit operation subsystem;
  • the distribution module is used to distribute the operation and maintenance decision plan to instruct the operation and maintenance personnel who received the operation and maintenance decision plan to perform repair, maintenance or inspection.
  • a rail transit operation and maintenance system comprising: an intelligent maintenance system, a real-time monitoring system, a work order management system, an inventory management system, and an asset management system;
  • the intelligent maintenance system is used to implement the rail transit operation and maintenance method described above;
  • the real-time monitoring system is used to monitor each rail transit operation subsystem
  • the work order management system is used to store and manage work orders
  • the inventory management system is used to manage inventory spare parts
  • the asset management system is used to manage initial asset ledgers and statements.
  • a computer device includes a memory, a processor, and a computer program that is stored in the memory and can run on the processor, and the processor implements the above-mentioned rail transit operation and maintenance method when the processor executes the computer program.
  • a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned rail transit operation and maintenance method is realized.
  • the embodiment of the present disclosure obtains the operation status information and/or system configuration information of each rail transit operation subsystem; then analyzes the operation status information and/or system configuration information to generate the operation and maintenance of the rail transit operation subsystem Decision-making plan; Finally, the operation and maintenance decision-making plan is distributed to instruct the operation and maintenance personnel who received the operation and maintenance decision-making plan to perform repair, maintenance or inspection.
  • the embodiments of the present disclosure realize real-time monitoring of rail transit based on collecting operating status data, and perform maintenance and maintenance decisions based on operating status data, effectively reducing planned maintenance, improving the rationality and accuracy of operation and maintenance decisions, and reducing Operation and maintenance costs.
  • Figure 1 (a) is a structural diagram of the rail transit operation and maintenance system in an embodiment of the present disclosure
  • Figure 1(b) is a hierarchical diagram of the intelligent maintenance system in an embodiment of the present disclosure
  • Fig. 2 is a flowchart of a rail transit operation and maintenance method in an embodiment of the present disclosure
  • FIG. 3 is a flowchart of classified storage in a rail transit operation and maintenance method in an embodiment of the present disclosure
  • FIG. 4 is a flowchart of visualization processing in a rail transit operation and maintenance method in an embodiment of the present disclosure
  • step S202 is a flowchart of step S202 in the rail transit operation and maintenance method in an embodiment of the present disclosure
  • step S202 is a flowchart of step S202 in the rail transit operation and maintenance method in an embodiment of the present disclosure
  • FIG. 7 is a flowchart of step S202 in the rail transit operation and maintenance method in an embodiment of the present disclosure
  • Fig. 8 is a functional block diagram of a rail transit operation and maintenance device in an embodiment of the present disclosure
  • Fig. 9 is a schematic diagram of a computer device in an embodiment of the present disclosure.
  • the rail transit operation and maintenance method is implemented by an intelligent maintenance system.
  • Figure 1(a) shows a rail transit operation and maintenance system, which includes: an intelligent maintenance system 1, a real-time monitoring system 2, a work order management system 3, an inventory management system 4, and an asset management system 5.
  • the intelligent maintenance system 1 is used to implement the rail transit operation and maintenance method.
  • the real-time monitoring system 2 is used to monitor each rail transit operation subsystem, specifically including displaying system information, operation status information, alarm information, and notifications of each rail transit operation subsystem.
  • the work order management system 3 is used to store and manage work orders, specifically including storage and management of maintenance work orders, maintenance work orders, inspection work orders, and construction work orders.
  • the inventory management system 4 is used to manage the inventory of spare parts, which may specifically include but is not limited to displaying inventory spare parts information, proposing spare parts requirements (such as the issuance of spare parts requirements), and performing spare parts inventory (that is, regular inventory of inventory spare parts, such as daily Inventory, monthly inventory, etc.) etc.
  • the asset management system 5 is used to manage initial asset ledgers and reports, which may specifically include, but is not limited to, managing initial asset ledgers, statistical reports, asset inventory, and process management.
  • Figure 1(b) shows a hierarchical diagram of the intelligent maintenance system.
  • the intelligent maintenance system 1 includes 5 levels from bottom to top, namely, a data source layer, a data collection layer, a data storage layer, a function module layer, and a business application layer.
  • the data in the data source layer refers to the data to be collected and processed, including but not limited to initial asset ledger information, spare parts inventory information, operating status information of each rail transit subsystem, maintenance performance, Inspection feedback information.
  • the data collection layer is responsible for real-time data collection.
  • the data storage layer is responsible for classifying and storing the collected data.
  • the functional module layer is responsible for implementing specific sub-module functions based on classified stored data, and supporting functional realization of specific services upward.
  • the business application layer is responsible for making the real-time monitoring system 2 perform real-time monitoring, the intelligent maintenance system 1 for intelligent maintenance, the work order management system 3 for work order management, and the inventory management system 4 Carry out inventory management, make the asset management system 5 carry out asset management, and provide a visual interface for operation and maintenance personnel.
  • real-time monitoring includes, but is not limited to, managing and viewing equipment assets, displaying real-time equipment operating status and system operating information, displaying notifications and alarms.
  • Intelligent maintenance refers to the use of fault prediction and health management (PHM) technology to process fault alarms, fault predictions, and health assessments by calculating operating status information, combining equipment parameters and equipment principle models, and using fault prediction and health management (PHM) technology. Generate repair, maintenance or inspection decision plans.
  • PPM fault prediction and health management
  • Work order management is an information management system for the execution of operation and maintenance tasks, including but not limited to the management of maintenance work orders, maintenance work orders, and inspection work orders.
  • Inventory management includes but is not limited to displaying inventory spare parts information, proposing spare parts requirements, and performing spare parts inventory.
  • Asset management includes but is not limited to initial asset ledger management, statistical reports, asset inventory, and process management.
  • the rail transit operation and maintenance method provided by the embodiments of the present disclosure first collects data from the rail transit operation subsystem and equipment covered by the operating line through the data collection layer, and then classifies and stores the collected data through the data storage layer, and finally passes the data collection layer.
  • the functional module layer and the business application layer perform visual output and generate operation and maintenance decisions based on the collected data, so as to facilitate the operation and maintenance personnel to view and grasp the true state of the system, reduce planned maintenance, and achieve precise operation and maintenance.
  • the rail transit operation and maintenance method includes:
  • step S201 the operating status information and/or system configuration information of each rail transit operation subsystem is acquired.
  • the embodiment of the present disclosure obtains the operating status information and system configuration information of each rail transit operation subsystem covered by the operating line through the data collection layer, and each rail transit operation subsystem may include multiple devices.
  • the operating status information may include status data automatically reported by the rail transit operation subsystem during operation, and/or status data reported by installing additional sensors, and this information reflects the real-time status of the operating line.
  • the status data reported by the sensor is related to the business of the rail transit operation subsystem, including but not limited to current, voltage, temperature, humidity, speed, pressure, acceleration.
  • the system configuration information refers to the configuration information of the rail transit operation subsystem and its equipment, including but not limited to temporary task information, maintenance plan information, inspection feedback information, equipment parameters, and equipment principle models.
  • Temporary task information refers to temporary and emergency maintenance tasks manually created by operation and maintenance personnel due to special reasons. The special reasons include, but are not limited to, unexpected conditions, special test requirements, and manual decisions.
  • the maintenance plan information refers to the maintenance guidance and method suggestions given by the original equipment manufacturer.
  • Inspection feedback information refers to the feedback result of manual inspection, which is used to supplement the operation status information reported by the rail transit operation subsystem. Through manual inspection, it is possible to feed back the true status information of the rail transit operation subsystem and its equipment itself that cannot be automatically reported and the sensor equipment is not installed.
  • Equipment parameters refer to equipment characteristic parameters provided by original equipment manufacturers for specific equipment, reflecting the upper and lower limits of the equipment.
  • the equipment principle model is a principle model of equipment operation provided by original equipment manufacturers. Based on this model, it is possible to gain in-depth understanding of equipment operation principles and obtain key influence parameters.
  • the rail transit operation subsystem includes but is not limited to an automatic fare collection system, a passenger information system, and a signal system.
  • the intelligent maintenance system and the rail transit operation subsystem can communicate with each other by means of, for example, a preset gateway, system interface, and/or message transfer, so that the intelligent maintenance system is interconnected with each rail transit operation subsystem Intercommunication, real-time collection of data fed back from the rail transit operation subsystem, and obtaining rail transit operating status information, effectively solving the problem of data islands and ensuring the timeliness of operating status information.
  • each rail transit operation subsystem includes multiple devices, and the collected operating status information is large and complex.
  • the embodiments of the present disclosure classify and store the operating status information.
  • Each rail transit operation subsystem sets corresponding system ID information, and each rail transit operation subsystem covers equipment sets corresponding device ID information.
  • the intelligent maintenance system classifies and stores the operation status information according to the received system ID information and device ID information.
  • step S201 obtains the operating status information and/or system configuration information of each rail transit operation subsystem, it further includes:
  • step S301 the system ID information and device ID information corresponding to the operating state information are acquired.
  • the system ID information is an identifier of the rail transit operation subsystem that reports the operation status information, and is used to distinguish different rail transit operation subsystems.
  • the device ID information is the identifier of the device that specifically reports the operating status information under the rail transit operation subsystem, and is used to distinguish different devices under the same rail transit operation subsystem.
  • the intelligent maintenance system collects status data packets from various rail transit operation subsystems through preset gateways, calling system interfaces, etc., it further analyzes the status data packets to obtain real-time operating status information and its corresponding System ID information and device ID information of the device.
  • step S302 the operating state information is stored in a storage sub-area in the database, where the storage sub-area is determined by the system ID information and device ID information.
  • the embodiment of the present disclosure divides the database according to each rail transit operation subsystem and the equipment below it in advance.
  • Each rail transit operation subsystem corresponds to a storage area in the database.
  • the storage area is based on the system ID corresponding to the rail transit operation subsystem.
  • Information naming; the storage area corresponding to the rail transit operation subsystem is divided into multiple storage sub-areas according to the devices under the rail transit operation subsystem, and the storage sub-areas are named after the device ID information of the device.
  • the storage area corresponding to the signal system is named 123456 and the system ID information corresponding to the signal system is 123456.
  • the signal system includes speed sensors, direction sensors and other devices.
  • the storage sub-area corresponding to the speed sensor is named device ID information sd
  • the storage sub-area corresponding to the direction sensor is named device ID information fx.
  • step S201 obtains the operating status information and/or system configuration information of each rail transit operation subsystem, it further includes:
  • step S401 the system ID information and the device ID information are acquired according to the query instruction, and the operating status information corresponding to the system ID information and the device ID information is acquired from the database.
  • operation and maintenance personnel can view specific aspects of the status information on rail transit, such as the operating speed of trains, by entering query instructions, for example.
  • the intelligent maintenance system retrieves system ID information and device ID information according to the query instruction, and then queries the database according to the system ID information and device ID information to obtain corresponding operating status information.
  • the intelligent maintenance system queries the storage area corresponding to the information system according to the system ID information 123456, and then queries the storage sub-area in the storage area according to the device ID information sd, and reads the storage From the data in the sub-area, get the running speed of the train.
  • step S402 visual processing is performed on the operating state information, and the visualized operating state information is displayed.
  • the embodiments of the present disclosure use computer graphics and image processing technology to convert the operating status information into graphics or images and display them on the screen to achieve real-time monitoring, which greatly facilitates the operation and maintenance personnel to view and grasp the truth of the operating line status.
  • step S202 the operation status information and/or system configuration information is analyzed to generate an operation and maintenance decision plan of the rail transit operation subsystem.
  • the operation status information reflects the current real operation information of each rail transit operation subsystem. It is the first-hand data to grasp the operation status of rail transit. It is objective and true. It has a high level of operational and maintenance decisions based on the operation status information. Scientific rigor improves the feasibility of decision-making, avoids subjective misjudgment by operators, and reduces the cost and waste caused by excessive maintenance.
  • the embodiments of the present disclosure analyze the operating status information and/or system configuration information, including analysis of real-time status, analysis of health assessment information, analysis of failure prediction information, analysis of temporary maintenance information, and maintenance plan
  • the analysis of each aspect may generate at least one of maintenance work orders, maintenance work orders, and inspection work orders.
  • the maintenance work order refers to the work document that needs to be repaired when the equipment fails
  • the maintenance work order refers to the work document that needs maintenance for the equipment to perform poorly
  • the inspection work order refers to the work document that the equipment needs to be inspected.
  • the step S202 includes:
  • step S501 real-time status analysis is performed on the operating status information.
  • real-time status analysis refers to data analysis performed with only running status information as the analysis object.
  • the embodiments of the present disclosure perform real-time status analysis on the running status data reported at each moment, including judging fault information, calculating reporting frequency, and monitoring fluctuations. Rules to analyze and locate possible problems and corresponding problem equipment.
  • step S502 if the operating status information includes fault status information, a maintenance work order corresponding to the problem equipment is generated.
  • step S503 if the running status value reported multiple times within the specified time range of the same information item in the running status information is close to the upper threshold or the lower threshold, a maintenance work order corresponding to the problem equipment is generated, where the close to the upper threshold is Means that the difference between the reported running state value and the upper threshold is less than or equal to the approach threshold. Near the lower threshold means that the difference between the reported running state value and the lower threshold is less than or equal to the approach threshold.
  • each information item corresponds to a pair of upper threshold and lower threshold.
  • the operating status information includes N information items, there can be N pairs of upper threshold and lower threshold.
  • the upper threshold and lower threshold are used to determine whether the corresponding information item There is a problem.
  • step S504 if the operating status information exhibits irregular fluctuations, a patrol work order corresponding to the problem device is generated.
  • the content contained in the operating status information intuitively reflects the status of the rail transit operation subsystem and equipment. If the operating status information includes fault status information, it indicates that the equipment corresponding to the fault status information has failed, and a maintenance work order corresponding to the faulty equipment is generated.
  • the running status value of some information items in the running status information has a corresponding floating range.
  • a dangerous situation will occur; when the running status When the value is close to the upper threshold or lower threshold for many times, it indicates that the device is currently prone to dangerous situations.
  • the embodiments of the present disclosure screen out potentially dangerous equipment by monitoring whether the running state value reported multiple times by the same information item is close to the upper threshold or the lower threshold.
  • the approach threshold by setting the approach threshold, the difference between the operating state value reported by the same information item at different times and the upper threshold or lower threshold is calculated, and if the difference is less than or equal to the approach threshold multiple times, then It is considered that the running status value of the information item reported multiple times within the specified time range is close to the upper threshold or the lower threshold, and a maintenance work order corresponding to the problem equipment is generated.
  • the fluctuation rule of the operating status information is also stable or fluctuates within a specified range. If the operating status information at a certain moment fluctuates irregularly, it indicates that the equipment in the rail transit operation subsystem will have operational problems, and the equipment in the rail transit operation subsystem needs to be inspected. In the embodiments of the present disclosure, by monitoring the fluctuation rules of the operating status information, the problem devices exhibiting irregular fluctuations are screened, and the inspection work order corresponding to the problem device is generated.
  • the real-time status analysis may further include:
  • the reporting frequency of the operating status information is less than the lower frequency threshold or greater than the upper frequency threshold, a maintenance work order corresponding to the problem equipment is generated.
  • the reporting frequency is the difference between the current reporting time of the running status data and the previous reporting time.
  • the reporting frequency of the operating status information of the rail transit operating subsystem and its equipment is stable or fluctuates within a specified range. If the reporting frequency of the operating status information is too slow or too fast, it indicates that the equipment in the rail transit operation subsystem is about to fail, and timely maintenance of the equipment in the rail transit operation subsystem is required. Therefore, the embodiments of the present disclosure filter out potentially problematic devices by setting a lower limit frequency threshold and an upper limit frequency threshold. When the reporting frequency of the operating status information is less than the lower frequency threshold or greater than the upper frequency threshold, a maintenance work order corresponding to the problem equipment is generated.
  • the above real-time status analysis of the operating status data realizes the status repair of the equipment in the rail transit operation subsystem, effectively avoids planned repairs, and helps reduce operation and maintenance costs.
  • the step S202 includes:
  • step S601 the health status assessment is performed on the current operating state information and system configuration information to obtain the health value corresponding to the equipment in the rail transit operation subsystem.
  • the system configuration information includes equipment parameters and equipment principle models.
  • Health assessment analysis refers to the evaluation of the health value of the equipment in the rail transit operation subsystem based on the degradation model, combined with historical data, equipment parameters, equipment principle models and current operating status information, to obtain a health value about the equipment.
  • step S602 if the health value is less than the first expected health threshold, a maintenance work order for the equipment corresponding to the health value is generated, and if the health value is greater than the first expected health threshold and less than the second expected health threshold, then Generate an inspection work order for the equipment corresponding to the health value.
  • the health value reflects the operating state of the equipment in the rail transit operation subsystem. When the health value is high, the operating state of the equipment is good, and when the health value is low, the operating state of the equipment is poor.
  • the embodiment of the present disclosure sets a first expected health threshold and a second expected health threshold, where the first expected health threshold is smaller than the shown second expected health threshold.
  • the first expected health threshold is used to determine whether the equipment is about to fail, and is a criterion for determining whether a maintenance work order is generated.
  • the second expected health threshold is used to determine whether the equipment has operating problems, and is a criterion for determining whether to generate an inspection work order.
  • the health value is compared with the first expected health threshold and the second expected health threshold, and if the health value is less than the first expected health threshold, a maintenance work order is generated, and if the health value is greater than the first expected health threshold If the health threshold is less than the second expected health threshold, an inspection work order is generated.
  • the step S202 includes:
  • step S701 the prediction model is used to perform fault prediction on the current running state information and system configuration information, and the failure probability corresponding to the equipment in the rail transit operation subsystem within the preset time range from the current moment is obtained.
  • the system configuration information includes equipment parameters and equipment principle models.
  • Failure prediction analysis refers to the use of predictive model algorithms, combined with historical failure data, equipment parameters, equipment principle models, and current operating status information to predict the probability of equipment failure in the rail transit operation subsystem, and obtain the rail transit operation subsystem The probability that the device will fail within the next preset time frame.
  • the prediction model algorithm includes, but is not limited to, logistic regression algorithm, arima algorithm based on time series, and recurrent neural network algorithm.
  • step S702 if the failure probability is greater than or equal to the failure probability threshold, a maintenance work order for the equipment corresponding to the failure probability is generated.
  • the failure probability reflects the probability of failure of the equipment in the rail transit operation subsystem. When the failure probability is high, the equipment in the rail transit operation subsystem is prone to failure. When the failure probability is low, the rail transit operation subsystem The equipment in is not prone to failure.
  • the embodiment of the present disclosure sets a failure probability threshold, which is used to determine whether the equipment in the rail transit operation subsystem is about to fail, as a criterion for determining whether to generate a maintenance work order. The failure probability is compared with the failure probability threshold, and if the failure probability is greater than or equal to the failure probability threshold, a maintenance work order for the equipment corresponding to the failure probability is generated.
  • the system configuration information may also include temporary maintenance information, and the temporary maintenance information refers to a maintenance task of a specified device manually created by an operation and maintenance personnel.
  • the intelligent maintenance system When performing temporary maintenance analysis and decision-making, the intelligent maintenance system generates maintenance work orders based on maintenance tasks created by operation and maintenance personnel.
  • the step S202 further includes: generating a maintenance work order according to the temporary maintenance information in the system configuration information.
  • the system configuration information may also include maintenance plan information, and the maintenance plan information refers to the maintenance tasks of the specified equipment in the preset maintenance plan content.
  • the intelligent maintenance system When performing maintenance plan analysis and decision-making, the intelligent maintenance system generates a maintenance work order according to the maintenance plan.
  • the step S202 further includes: generating a maintenance work order according to the maintenance plan information in the system configuration information.
  • the system configuration information may also include inspection feedback information.
  • the patrol inspection feedback information refers to the feedback result of manual patrol inspection, including the actual status information of the equipment in the rail transit operation subsystem that cannot automatically report and the equipment without additional sensors.
  • the intelligent maintenance system combines the equipment model to generate a corresponding maintenance work order or maintenance work order.
  • the step S202 further includes:
  • a maintenance work order and/or maintenance work order is generated according to the inspection feedback information, equipment parameters, and equipment principle model in the system configuration information.
  • equipment parameters refer to equipment characteristic parameters provided by original equipment manufacturers for specific equipment, reflecting the upper and lower limits of equipment.
  • the equipment principle model is a principle model of equipment operation provided by original equipment manufacturers. Based on this model, it is possible to gain in-depth understanding of equipment operation principles and obtain key influence parameters.
  • the embodiments of the present disclosure obtain key influencing parameters according to the inspection feedback information and equipment principle model in the system configuration information, and then compare the key influencing parameters with the equipment parameters, and screen out the problematic equipment according to the comparison results , Generate repair work orders and/or maintenance work orders for problem equipment.
  • the embodiments of the present disclosure make operation and maintenance decisions based on operating status information and system configuration information, which has high scientific rigor, improves the feasibility of decision-making, and effectively reduces the dependence on traditional planned maintenance. It also reduces the cost and waste caused by excessive maintenance.
  • step S203 the operation and maintenance decision plan is distributed to instruct the operation and maintenance personnel who received the operation and maintenance decision plan to perform repair, maintenance or inspection.
  • the above-mentioned operation and maintenance decision-making plan generated through real-time status analysis, health assessment analysis, failure prediction analysis, temporary maintenance analysis, maintenance plan analysis, and inspection result analysis will be sent to the corresponding operation and maintenance personnel, and the operation and maintenance personnel will be based on the operation and maintenance
  • the maintenance decision plan implements repair, maintenance or inspection work.
  • the embodiments of the present disclosure obtain operation status information and/or system configuration information of each rail transit operation subsystem; then analyze the operation status information and/or system configuration information to generate an operation and maintenance decision plan for the operation line; and finally The operation and maintenance decision plan is sent to the operation and maintenance personnel, so that the operation and maintenance personnel perform repair or maintenance according to the operation and maintenance decision plan.
  • the embodiments of the present disclosure realize real-time monitoring of operating lines based on collecting operating status data, and perform maintenance and maintenance decisions based on operating status data, which effectively reduces planned maintenance, improves the rationality and accuracy of operation and maintenance decisions, and reduces Operation and maintenance costs.
  • a rail transit operation and maintenance device is provided, and the rail transit operation and maintenance device corresponds to the rail transit operation and maintenance method in the foregoing embodiment one-to-one.
  • the rail transit operation and maintenance device includes an acquisition module 81, an analysis and decision module 82, and a distribution module 83.
  • the detailed description of each functional module is as follows:
  • the obtaining module 81 is used to obtain operating status information and/or system configuration information of each rail transit operation subsystem;
  • the analysis and decision module 82 is used to analyze the operation status information and/or system configuration information to generate an operation and maintenance decision plan for the rail transit operation subsystem;
  • the distribution module 83 is configured to distribute the operation and maintenance decision-making plan to instruct the operation and maintenance personnel who have received the operation and maintenance decision-making plan to perform repair, maintenance or inspection.
  • the analysis and decision module 83 includes:
  • the real-time status analysis unit is used to generate a maintenance work order corresponding to the problem equipment when the operating status information includes fault status information; the operating status value of the same information item reported multiple times within a specified time range in the operating status information
  • a maintenance work order corresponding to the problem equipment is generated.
  • the close to the upper threshold means that the difference between the reported operating state value and the upper threshold is less than or equal to the close threshold, and the close to the lower threshold means the reported The difference between the operating state value and the lower threshold is less than or equal to the approaching threshold; when the operating state information presents irregular fluctuations, an inspection work order corresponding to the problem equipment is generated.
  • the analysis and decision module 83 includes:
  • the health evaluation unit is configured to perform health evaluation on the current operating state information and system configuration information to obtain the health value corresponding to the equipment in the rail transit operation subsystem;
  • the work order generation unit is configured to generate a maintenance work order for the equipment corresponding to the health value when the health value is less than a first expected health threshold value, and when the health value is greater than the first expected health threshold value and less than the second expected health value When the health threshold is used, an inspection work order of the equipment corresponding to the health value is generated.
  • the analysis and decision module 83 includes:
  • the fault prediction unit is configured to use the prediction model to perform fault prediction on the current operating state information and system configuration information, and obtain the failure probability corresponding to the equipment in the rail transit operation subsystem within the preset time range from the current time;
  • the work order generation unit is further configured to generate a maintenance work order for the equipment corresponding to the failure probability when the failure probability is greater than or equal to the failure probability threshold.
  • the analysis and decision module 83 is also used to:
  • a maintenance work order and/or maintenance work order is generated according to the inspection feedback information, equipment parameters, and equipment principle model in the system configuration information.
  • the device further includes:
  • the ID acquisition module is used to acquire system ID information and device ID information corresponding to the operating status information
  • the classification storage module is used to store the operating status information in a storage sub-area determined by the system ID information and the device ID information in the database.
  • the device further includes:
  • the status information acquisition module is configured to acquire system ID information and device ID information according to the query instruction, and acquire the operating status information corresponding to the system ID information and device ID information from the database;
  • the visualization module is used to perform visualization processing on the running state information and display the running state information after the visualization processing.
  • Each module in the above-mentioned rail transit operation and maintenance device can be implemented in whole or in part by software, hardware, and a combination thereof.
  • the foregoing modules may be embedded in the form of hardware or independent of the processor in the computer device, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the foregoing modules.
  • a computer device is provided.
  • the computer device may be a server, and its internal structure diagram may be as shown in FIG. 9.
  • the computer equipment includes a processor, a memory, a network interface and a database connected through a system bus.
  • the processor of the computer device is used to provide calculation and control capabilities.
  • the memory of the computer device includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium stores an operating system, a computer program, and a database.
  • the internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium.
  • the network interface of the computer device is used to communicate with an external terminal through a network connection.
  • the computer program is executed by the processor to realize a rail transit operation and maintenance method.
  • a computer device including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the following steps when the processor executes the computer program:
  • a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:
  • first and second are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined with “first” and “second” may explicitly or implicitly include one or more of these features. Further, in the description of the present disclosure, unless otherwise specified, “plurality” means two or more.

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Abstract

L'invention concerne un procédé, un dispositif et un appareil d'opération et de maintenance de transit ferroviaire, et un support, se rapportant au champ technique des technologies de l'information. Ledit procédé consiste : à acquérir des informations d'état d'opération et/ou des informations de configuration de système de tous les sous-systèmes d'opération de transit ferroviaire ; à analyser les informations d'état d'opération et/ou les informations de configuration de système, et à générer des principes de décision d'opération et de maintenance des sous-systèmes d'opération de transit ferroviaire ; et à distribuer les principes de décision d'opération et de maintenance, afin de demander au personnel d'opération et de maintenance recevant les principes de décision d'opération et de maintenance de procéder à la maintenance, à l'entretien ou à l'inspection.
PCT/CN2020/107826 2019-08-09 2020-08-07 Procédé, dispositif, système et appareil d'opération et de maintenance de transit ferroviaire, et support WO2021027728A1 (fr)

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CN113052447B (zh) * 2021-03-15 2023-10-10 广东博智林机器人有限公司 一种协商工单派发方法、装置、存储介质及电子设备
CN112950068A (zh) * 2021-03-30 2021-06-11 中交第三航务工程局有限公司 一种用于船舶智能管理系统的调度管理系统
CN113705896A (zh) * 2021-08-30 2021-11-26 中国工商银行股份有限公司 目标设备的确定方法、装置及电子设备
CN114267178B (zh) * 2021-12-30 2023-09-26 佳都科技集团股份有限公司 一种车站的智能运营维护方法及装置
CN114548500A (zh) * 2022-01-14 2022-05-27 北京全路通信信号研究设计院集团有限公司 一种检查计划优化方法、系统及装置
CN114999018A (zh) * 2022-05-31 2022-09-02 广州港发石油化工码头有限公司 石油化工码头设备设施的管理系统
CN115150243A (zh) * 2022-06-28 2022-10-04 湖南超弦科技股份有限公司 轨道交通设备管理方法及系统、智能管理平台与存储介质
CN115619378A (zh) * 2022-10-25 2023-01-17 北京思维实创科技有限公司 一种轨道交通专业融合故障报修分级拉动方法及系统

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