A multi-state multi-application collaborative management method suitable for a railway power supply dispatching system

Abstract

This invention discloses a multi-state, multi-application collaborative management method applicable to railway power supply dispatching systems, relating to the field of rail transit power supply dispatching technology. It centrally manages multiple operational states, including real-time, inversion, research, and testing states, through a unified data platform. It employs data isolation and application isolation mechanisms, allocating independent real-time databases to each state while sharing a unified configuration library. The unified data platform assigns functional and data permissions to each state, enabling independent operation of each state and cross-state information sharing. This invention ensures high reliability in real-time dispatching while achieving zero-risk simulation testing, reducing fault recovery time from hours to minutes, and significantly improving the intelligence level and safe operation capability of railway power supply dispatching.

Description

Technical Field

[0001] This invention relates to the field of power supply dispatching technology for rail transit, and in particular to a multi-state, multi-application collaborative management method applicable to railway power supply dispatching systems. Background Technology

[0002] my country is currently in a period of rapid development of rail transit. With the continuous expansion of railway construction, the workload of daily power supply dispatching is constantly increasing. The railway power supply dispatching system needs to meet the development requirements of high reliability, high real-time performance, and high concurrency processing capability.

[0003] Existing traditional railway power supply dispatching systems mainly adopt a single time-state operation mode, which has the following significant drawbacks in practical applications: First, the data perception and integration capabilities are insufficient, relying mainly on single-point monitoring or manual inspections. The data collection is not real-time and has a single dimension, making it impossible to achieve a panoramic perception of the entire power supply system's status. Second, the efficiency of dispatching decisions and fault handling is low. Dispatch instructions rely heavily on human experience and lack intelligent auxiliary decision-making mechanisms. Fault responses are mostly reactive after the fact. Fault location and recovery time is long, which can easily expand the scope of fault impact and, in severe cases, may affect the normal operation of trains. Third, the lack of system simulation and testing capabilities means that operations such as new scheme verification, new function testing, and new line commissioning simulation can only be carried out on the actual operating system, which poses a risk of interfering with normal scheduling operations and may even lead to safety production accidents.

[0004] With the continuous development of technologies such as big data and artificial intelligence, the professional management of railway power supply dispatch urgently needs to keep pace with the development of high-speed railways and fully utilize information technology to achieve refined control over the entire process of the railway power system. Therefore, how to build a power supply dispatch management system that supports multi-state parallelism, data isolation, and collaborative work has become a pressing technical problem to be solved in the field of railway power supply dispatch. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing technologies by providing a multi-state, multi-application collaborative management method suitable for railway power supply dispatching systems. This method aims to solve the technical problems of low fault handling efficiency, high simulation testing risks, and insufficient system flexibility in the traditional single-temporal operation mode of railway power supply dispatching systems.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a multi-state, multi-application collaborative management method applicable to railway power supply dispatching systems, comprising: A unified data platform is used to centrally manage multiple operating states in the railway power supply dispatching system, including at least real-time state, inversion state, research state, and test state. Data and application isolation are implemented for each running state, and an independent real-time database is allocated to each running state. All running states share a unified configuration library managed by the unified data platform. The unified data platform assigns corresponding functional and data permissions to each running state, enabling each running state to run its own functions independently, and enabling cross-state information sharing and strategy iteration through the unified data platform. The real-time state is used for power grid operation monitoring and real-time fault handling; the inversion state is used for historical fault scenario reproduction and root cause analysis; the research state is used for multi-scenario simulation and scheme pre-drilling; and the test state is used to provide an independent software testing environment.

[0007] As a preferred embodiment of the present invention, the present invention further includes: according to actual system requirements, performing new or deleted operation on the running states through the polymorphic management module of the unified data platform, and dynamically adjusting the number and type of running states in the system.

[0008] As a preferred embodiment of the present invention, the method of allocating corresponding functional permissions and data permissions to each operating state through a unified data platform includes: for applications and functions in a specified operating state, the unified data platform is used to enable or disable the corresponding functions and permissions in the form of authorization or deauthorization.

[0009] In a preferred embodiment of the present invention, each device point in the unified configuration library contains mutually independent configuration information corresponding to the real-time state, inversion state, research state, and test state; when an operation is performed on a device point in any operating state, the real-time database corresponding to that operating state reads the configuration information of the device point corresponding to that operating state from the unified configuration library.

[0010] As a preferred embodiment of the present invention, a closed-loop collaborative working mechanism is formed between the various operating states through the unified data platform: The real-time state uploads actual operational data to the unified data platform; After classifying and storing the data, the unified data platform provides the relevant data to the inversion state and the research state respectively. The inversion state performs fault reproduction and root cause analysis based on historical data, and provides the analysis results to the research state; The research state is based on real-time data and inversion analysis results to perform simulation and deduction, generate optimization schemes, and feed them back to the real-time state for implementation. The test state independently tests and verifies the optimization scheme.

[0011] As a preferred embodiment of the present invention, a state switching control is provided in the system visualization interface to support manual switching between different running states according to user needs; Each running state has an independent interface display, and each running state interface integrates corresponding category system functions: the real-time state interface integrates operation monitoring and operation functions, the inversion state interface integrates accident recording and playback functions, the research state interface integrates simulation functions, and the test state interface integrates rapid deployment of test environment functions.

[0012] As a preferred embodiment of the present invention, the real-time state performs the following operations: continuously monitors the status of the power grid; when a fault is detected in a circuit breaker, disconnector, or other device in the power grid, an alarm is pushed and a corresponding location screen is pushed according to the pre-configuration of different devices; and the alarm information is automatically recorded to the unified data platform and archived.

[0013] As a preferred embodiment of the present invention, the inversion state performs the following operations: configuring the point information that needs to be monitored and recalled, as well as the remote signaling and telemetry points that need to be recorded, and setting the recording time length of point change information; reading the alarm information related points from the unified data platform, and obtaining the monitoring point change information within the set time length; and performing accident playback on the inversion state interface based on the obtained information, supporting playback, pause, fast forward, rewind, and replay operations to assist in accident root cause analysis and strategy verification.

[0014] As a preferred embodiment of the present invention, the research state performs the following operations: reads real-time operating data and historical fault data from the unified data platform; constructs a multi-scenario simulation environment based on the read data; and performs forward-looking simulation operations such as scheduling operation deduction, accident handling simulation, new line commissioning simulation, and operation ticket issuance and simulation in the simulation environment to generate a scheduling optimization scheme.

[0015] In a preferred embodiment of the present invention, the test state performs the following operations: reads relevant point information from the unified data platform according to the module to be tested; constructs a software operating environment independent of other operating states; runs the test software in the independent operating environment to test and verify the system functions or optimization schemes, and the test process does not affect the normal operation of other operating states.

[0016] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention realizes flexible management of polymorphic architecture through a unified data platform. It can dynamically adjust the number of running states according to specific business needs, and perform fine-grained function and permission configuration for each state. It supports flexible expansion and customization of system functions, breaking through the limitation of traditional polymorphic systems that can only use preset functions.

[0017] (2) This invention realizes the independent operation of real-time state, inversion state, research state and test state through data isolation and application isolation mechanism. Each state uses independent computing resources. Simulation, inversion and test operations will not occupy real-time state resources, nor will they interfere with the normal operation of real-time scheduling services, which significantly improves the security and reliability of system operation.

[0018] (3) The present invention constructs a closed-loop management system of "run-analysis-optimization-testing", which shortens the fault location and recovery time from the traditional hour level to the minute level. The inverse state accident review function greatly improves the accuracy of fault root cause analysis and effectively reduces the risk of secondary faults.

[0019] (4) The present invention provides a zero-risk simulation pre-running environment through the research state, supports parallel evaluation of multiple scheduling schemes, and greatly improves the efficiency of scheme evaluation and the scientific nature of decision-making; the test state provides a completely independent test environment, so that the testing of new functions and the verification of new schemes will not affect the operation of the production system. Attached Figure Description

[0020] Figure 1 This is a functional structure diagram of the multi-state, multi-application collaborative management system provided in an embodiment of the present invention; Figure 2 A schematic diagram illustrating the principle of data isolation in various operating states provided in this embodiment of the invention; Figure 3 This is a schematic diagram illustrating the implementation process of the inversion state accident inversion function provided in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the implementation process of the research state scheme pre-simulation function provided in an embodiment of the present invention. Detailed Implementation

[0021] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0022] like Figure 1 As shown in the figure, the present invention provides a multi-state, multi-application collaborative management system suitable for railway power supply dispatching systems. It adopts a four-state collaborative intelligent dispatching architecture of "real-time state – inversion state – research state – test state," forming a closed-loop management system of "operation – analysis – optimization – testing." It mainly includes a unified data platform, a real-time module, an inversion module, a research module, and a test module.

[0023] The unified data platform is the core management hub of the entire system. It includes a historical data pool, a real-time data pool, and a unified model management and data service module. It is responsible for storing the historical and real-time data of the entire system, managing the models, data, and permissions of each state in a unified manner, and providing channels for data interaction between different states.

[0024] The real-time module includes a real-time monitoring and automation management unit, responsible for the daily operation monitoring, rapid fault response, and automated control of the power grid. It directly serves the actual production scheduling. The real-time module integrates operation monitoring and operational system functions, including core production functions such as SCADA monitoring, remote control operation, alarm handling, fault isolation and recovery.

[0025] The inversion module includes a fault inversion and root cause analysis unit, responsible for reproducing fault scenarios based on historical data, supporting full playback and root cause analysis of the accident process. The inversion module integrates the functions of an accident recording and playback system, supports the reproduction of the system state at any point in history, and provides interactive control functions such as play, pause, fast forward, rewind, and replay.

[0026] The research module includes multi-scenario simulation and scheme derivation units, responsible for building a simulation environment consistent with the production environment, supporting forward-looking derivations of various businesses such as scheduling operations, accident handling, new line commissioning, and operation ticket issuance. The research module integrates simulation system functions, can graphically display the complete simulation process, and supports parallel evaluation of multiple schemes.

[0027] The test state module includes an independent test environment management unit, responsible for providing a software test runtime environment completely isolated from the production system, supporting various test operations such as new feature testing, patch verification, and solution verification. The test state module integrates a rapid test environment deployment function, enabling the rapid construction of an independent runtime environment according to test requirements, without affecting the normal operation of other states during the testing process.

[0028] like Figure 2 As shown, in this embodiment of the invention, data isolation between different runtime states is achieved through an architecture of "unified configuration library + independent real-time library", specifically including the following steps: Step S201: The entire system shares a unified configuration library maintained and managed by a unified data platform. The configuration library stores basic configuration data such as all equipment models, location information, and system parameters. Step S202: Each device location in the configuration library contains four sets of independent configuration information, corresponding to real-time state, inversion state, research state, and test state respectively. Each set of configuration information defines the parameters, attributes, and behavior rules of the location in the corresponding state. Step S203: When a user operates on a device location in real-time, the independent real-time database corresponding to the real-time state reads the real-time configuration information of that location from the unified configuration library, and performs data processing and business logic execution based on the configuration. Step S204: When a user operates on a device location in the inversion state, the independent real-time database corresponding to the inversion state reads the inversion state configuration information of that location from the unified configuration library, and performs historical data playback and analysis based on the configuration. Step S205: When a user operates on a certain device location in the study state, the independent real-time database corresponding to the study state reads the study state configuration information of that location from the unified configuration library, and performs simulation calculations and scheme deductions based on the configuration. Step S206: When a user operates on a device location in the test state, the independent real-time database corresponding to the test state reads the test state configuration information of that location from the unified configuration library, builds the test environment based on the configuration, and executes test cases.

[0029] The above architecture ensures the consistency of the basic configuration of the entire system and achieves data and operation isolation between different operating states. The real-time data of each state are independent and do not interfere with each other, fundamentally avoiding the impact of simulation, testing and inversion operations on the real-time production system.

[0030] like Figure 3 As shown, the accident inversion function of the inversion state in this embodiment of the invention is implemented through the following process: Step S301: In real-time, the power grid is continuously monitored during operation. When equipment failure, abnormal alarm or other events are detected, fault information such as the time of occurrence, faulty equipment, fault type, and relevant remote signaling and telemetry data is automatically recorded. Step S302: In real time, the recorded fault event information and related panoramic data are synchronously uploaded to the unified data platform, which then classifies, stores, and archives them to form traceable historical data resources. Step S303: When an accident review is required, the user switches to the inversion state, selects the fault event to be analyzed, and the inversion state obtains all relevant data within the set time window before and after the fault event from the unified data platform, including remote signaling changes, telemetry changes, operation records, alarm information, etc. Step S304: Based on the acquired historical data, the inversion state accurately reproduces the system state change process before and after the fault occurred according to the time series, and displays the entire fault development process with a screen consistent with the real-time state, and provides interactive control functions such as play, pause, fast forward, fast rewind, single step execution, and replay. Step S305: The dispatcher performs root cause analysis based on the fault replay process to locate the root cause of the fault, evaluate the rationality of the fault handling process, verify the effectiveness of the improvement strategy, and feed the analysis conclusions back to the research state for solution optimization.

[0031] The inversion state can permanently save the system model and data state at any historical time point, supporting unlimited retrospective analysis of any historical failure scenario, providing a reliable technical means for accident investigation, experience summarization, and strategy optimization.

[0032] like Figure 4 As shown, the scheme pre-simulation function in the research state of this invention is implemented through the following process: Step S401: The research state obtains the current power grid operation data in real time from the unified data platform, as well as the historical fault analysis conclusions output by the inversion state, as the basis data for simulation and deduction; Step S402: The research state constructs a mirror simulation environment that is completely consistent with the actual production environment based on the acquired data. The power grid model, equipment parameters, and operating status in the simulation environment are synchronized with the real-time state to ensure the accuracy of the simulation results. Step S403: For the scheduling schemes, fault handling plans, new line commissioning schemes, operation tickets, etc. to be verified, the study state executes the scheme in the simulation environment to simulate the power grid state change process after the scheme is executed, and evaluates the feasibility, safety and effectiveness of the scheme. Step S404: Support simulation and deduction of multiple schemes for parallel execution, compare the execution effects of different schemes, and select the optimal scheduling scheme; Step S405: For mature solutions that have passed simulation verification, output to the real-time state for confirmation by the scheduler before execution; for solutions that require further testing and verification, output to the test state for comprehensive functional and performance testing.

[0033] The research environment provides a zero-risk testing ground for solutions, allowing dispatchers to boldly experiment with various dispatching strategies and operational plans without affecting actual production operations, thus significantly improving the scientific nature and accuracy of dispatching decisions.

[0034] In this embodiment of the invention, a complete closed-loop collaborative working mechanism is formed among the multiple states: the real-time state, as the core of production operation, continuously generates real operational data and uploads it to the unified data platform; the unified data platform, as the data hub, manages, classifies, and stores the data, and provides data services to other states as needed; the inversion state performs post-event analysis based on historical data to summarize lessons learned; the research state performs pre-event deduction based on real-time data and analysis conclusions to optimize the scheduling scheme; the testing state independently tests and verifies new schemes and functions; and the verified optimized scheme is finally implemented in the real-time state for execution, realizing continuous iterative improvement of scheduling capabilities.

[0035] In terms of computing resource allocation, the embodiments of the present invention allocate independent computing resources to real-time, inversion, research, and testing states. Resource isolation technology is used to ensure that inversion, research, and testing computing tasks do not preempt real-time CPU, memory, network, and other resources. This ensures high priority and high reliability of real-time scheduling services from the resource level and avoids real-time monitoring delays or control failures caused by computing resource contention.

[0036] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0037] The above description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the concept described herein through the above teachings or related technologies or knowledge. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A multi-state, multi-application collaborative management method applicable to railway power supply dispatching systems, characterized in that, include: A unified data platform is used to centrally manage multiple operating states in the railway power supply dispatching system, including at least real-time state, inversion state, research state, and test state. Data and application isolation are implemented for each running state, and an independent real-time database is allocated to each running state. All running states share a unified configuration library managed by the unified data platform. The unified data platform assigns corresponding functional and data permissions to each running state, enabling each running state to run its own functions independently, and enabling cross-state information sharing and strategy iteration through the unified data platform. The real-time state is used for power grid operation monitoring and real-time fault handling; the inversion state is used for historical fault scenario reproduction and root cause analysis; the research state is used for multi-scenario simulation and scheme pre-drilling; and the test state is used to provide an independent software testing environment.

2. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, Also includes: Based on actual system requirements, the multi-state management module of the unified data platform can be used to create or delete running states, dynamically adjusting the number and type of running states in the system.

3. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, The method of allocating corresponding functional permissions and data permissions to each running state through a unified data platform includes: for applications and functions in a specified running state, the unified data platform is used to open or close the corresponding functions and permissions in the form of authorization or deauthorization.

4. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, Each device point in the unified configuration library contains independent configuration information corresponding to the real-time state, inversion state, research state, and test state. When an operation is performed on a device point in any running state, the real-time database corresponding to that running state reads the configuration information of that device point corresponding to that running state from the unified configuration library.

5. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, A closed-loop collaborative working mechanism is formed between the various operational states through the unified data platform: The real-time state uploads actual operational data to the unified data platform; After classifying and storing the data, the unified data platform provides the relevant data to the inversion state and the research state respectively. The inversion state performs fault reproduction and root cause analysis based on historical data, and provides the analysis results to the research state; The research state is based on real-time data and inversion analysis results to perform simulation and deduction, generate optimization schemes, and feed them back to the real-time state for implementation. The test state independently tests and verifies the optimization scheme.

6. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, The system's visual interface provides a state switching control, which supports manual switching between different running states according to user needs; Each running state has an independent interface display, and each running state interface integrates corresponding category system functions: the real-time state interface integrates operation monitoring and operation functions, the inversion state interface integrates accident recording and playback functions, the research state interface integrates simulation functions, and the test state interface integrates rapid deployment of test environment functions.

7. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, The real-time state performs the following operations: continuously monitors the status of the power grid; when a fault is detected in a circuit breaker, disconnector, or other device in the power grid, it pushes an alarm and a corresponding location image according to the pre-configuration of different devices; and automatically records the alarm information to the unified data platform and archives it.

8. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, The inversion state performs the following operations: configures the point information that needs to be monitored and recalled, as well as the remote signaling and telemetry points that need to be recorded, and sets the recording time length for point change information; reads the alarm information related points from the unified data platform and obtains the monitoring point change information within the set time length; and performs accident playback on the inversion state interface based on the obtained information, supporting play, pause, fast forward, rewind, and replay operations to assist in accident root cause analysis and strategy verification.

9. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, The research state performs the following operations: reads real-time operation data and historical fault data from the unified data platform; constructs a multi-scenario simulation environment based on the read data; and performs forward-looking simulation operations such as scheduling operation simulation, accident handling simulation, new line commissioning simulation, and operation ticket issuance and simulation in the simulation environment to generate scheduling optimization schemes.

10. The multi-state, multi-application collaborative management method according to claim 1, characterized in that, The test state performs the following operations: reads relevant point information from the unified data platform according to the module to be tested; constructs a software operating environment independent of other operating states; runs the test software in the independent operating environment to test and verify the system functions or optimization schemes, and the test process does not affect the normal operation of other operating states.

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