Through-type flexible traction power supply system reliability evaluation method, equipment, medium and product

Abstract

The invention discloses a through-type flexible traction power supply system reliability evaluation method and device, a medium and a product, and relates to the field of traction power supply system reliability analysis, and the method comprises the steps: constructing a comprehensive evaluation system; based on a power supply structure and an operation mode of the through-type flexible traction power supply system, on the basis of internal equipment, establishing a reliability evaluation model of the through-type flexible traction power supply system by adopting a block processing fault tree method; a Monte Carlo simulation method is adopted, and reliability evaluation key indexes of the through type flexible traction power supply system under different operation conditions are obtained through simulation based on the reliability evaluation model; based on the comprehensive evaluation system, the reliability evaluation key indexes are adopted to complete reliability evaluation of the through type flexible traction power supply system. According to the method, the real-time state of the system in the actual operation process can be accurately reflected, the reliability evaluation difficulty is reduced, the problem that an evaluation result has certain limitation is solved, and then the requirements of actual engineering application are met.

Description

Technical Field

[0001] The present application relates to the field of reliability analysis of traction power supply systems, and in particular to a reliability assessment method, equipment, medium and product for a through-type flexible traction power supply system. Background Art

[0002] The reliability of electric traction power supply systems is crucial for ensuring the smooth implementation of electric traction and achieving safe, reliable, and uninterrupted power supply. The operational reliability of railway traction power supply systems is influenced by a complex array of factors, including but not limited to the quality and performance of key equipment such as transformers and circuit breakers; natural disasters such as climate change, earthquakes, and floods; the professionalism of management personnel; the development and implementation of maintenance plans; and the comprehensiveness of emergency response plans. Among these factors, equipment quality and performance are fundamental, management personnel and maintenance plans provide safeguards, and emergency response plans are crucial for mitigating losses in the event of emergencies.

[0003] At present, research on the reliability of traction power systems has achieved certain results, but there are still some shortcomings. For example, the inventors are aware of an analytical simulation method for evaluating railway overhead contact systems using reliability theory. This method evaluates the reliability of each component in the DC power supply system based on subway operation data and conducts a quantitative analysis of the system configuration. These studies, from the perspective of power electronics and systems, have conducted in-depth analysis of the various links and factors that affect the reliability of the power supply system. However, existing research methods often use a fixed failure rate in the evaluation process. This evaluation method based on a fixed failure rate cannot accurately reflect the real-time status of the system during actual operation, resulting in certain limitations in the evaluation results and cannot fully meet the needs of actual engineering applications.

[0004] Furthermore, during daily operation, traction loads are affected by a variety of factors, including stations, lines, and passenger flow. These factors interact in complex ways with the reliability of the power supply system, further complicating reliability assessment. Existing reliability research primarily relies on data analysis, comparing the impact of various debugging methods on reliability and evaluating the importance of the reliability of each component. This is then combined with years of historical data to quantitatively analyze the system, failure mechanisms, and operating modes. However, a comprehensive reliability data collection system for traction power supply systems, as well as corresponding quantitative reliability evaluation indicators, has yet to be established. This significantly limits the in-depth development and practical application of reliability research. Summary of the Invention

[0005] The purpose of this application is to provide a reliability assessment method, equipment, medium and product for a through-type flexible traction power supply system, which can accurately reflect the real-time status of the system during actual operation, reduce the difficulty of reliability assessment, solve the problem of certain limitations in the assessment results, and thus meet the needs of actual engineering applications.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for evaluating the reliability of a through-type flexible traction power supply system, comprising:

[0008] Analyze the fault behavior of the through-type flexible traction power supply system during normal operation and build a comprehensive evaluation system;

[0009] Based on the power supply structure and operation mode of the through-type flexible traction power supply system and the internal equipment of the through-type flexible traction power supply system, a reliability assessment model of the through-type flexible traction power supply system is established using the block processing fault tree method.

[0010] Monte Carlo simulation method is used to obtain the key reliability evaluation indicators of the through-type flexible traction power supply system under different operating conditions based on the reliability assessment model simulation.

[0011] Based on the comprehensive evaluation system, the reliability evaluation of the through-type flexible traction power supply system is completed using key reliability evaluation indicators.

[0012] Optionally, based on the power supply structure and operation mode of the through-type flexible traction power supply system and the equipment inside the through-type flexible traction power supply system, a block processing fault tree method is used to establish a reliability assessment model of the through-type flexible traction power supply system, including:

[0013] Based on the power supply structure and operation mode of the through-type flexible traction power supply system and the equipment inside the through-type flexible traction power supply system, the block processing fault tree method is used to divide the through-type flexible traction power supply system into multiple functional blocks, and the functional blocks are analyzed to determine the top event, intermediate event and bottom event; the top event is an event indicating the failure of the through-type flexible traction power supply system; the intermediate event is a failure event that causes the top event; the bottom event is a failure event that constitutes the intermediate event;

[0014] The top event, the middle event and the bottom event are connected by logic gates to obtain a reliability evaluation model.

[0015] Optionally, the key indicators for reliability evaluation include: mean time between failures, mean time to repair, failure rate and availability; the availability refers to the probability of the through-type flexible traction power supply system operating normally.

[0016] Optionally, a Monte Carlo simulation method is used to simulate the reliability assessment model to obtain key reliability evaluation indicators of the through-type flexible traction power supply system under different operating conditions, including:

[0017] Obtain the original data of the internal equipment of the through-type flexible traction power supply system under different operating conditions;

[0018] generating a first random matrix and a second random matrix with element values ranging from 0 to 1 to simulate the failure rate and repair rate of the bottom event;

[0019] A fault distribution function and a repair distribution function are constructed based on the original data of the internal equipment of the through-type flexible traction power supply system, the first random matrix and the second random matrix;

[0020] Performing inverse transformation on the fault distribution function and the repair distribution function to obtain an inverse fault distribution function and an inverse repair distribution function;

[0021] Determine the failure duration and repair duration of each bottom event in the reliability assessment model based on the inverse failure distribution function and the inverse repair distribution function, and generate a bottom event state sequence;

[0022] According to the reliability assessment model, the state sequence and state duration of the through-type flexible traction power supply system are obtained based on the state sequence of the bottom events; the states of the bottom events include working state, fault state and repair state;

[0023] The key indicators for reliability evaluation are obtained based on the state sequence and state duration of the through-type flexible traction power supply system.

[0024] Optionally, key reliability evaluation indicators are obtained based on the state sequence and state duration of the through-type flexible traction power supply system, including:

[0025] Determine the fault density and repair density based on the state sequence and state duration of the through-type flexible traction power supply system;

[0026] Determine the mean time between failures and mean time to repair based on the failure density and repair density;

[0027] Determine the failure rate based on the failure density;

[0028] Availability is determined based on the mean time between failures and the mean time to repair.

[0029] Optionally, based on a comprehensive evaluation system, reliability evaluation key indicators are used to complete the reliability assessment of the through-type flexible traction power supply system, including:

[0030] The reliability status corresponding to the key reliability evaluation indicators is obtained from the comprehensive evaluation system to complete the reliability evaluation of the through-type flexible traction power supply system.

[0031] Optionally, the reliability assessment method of the through-type flexible traction power supply system further includes:

[0032] The time point at which the failure of each basic event occurs and the time point at which the repair is completed are determined based on the failure duration and repair duration of each basic event.

[0033] In the second aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the reliability assessment method of the through-type flexible traction power supply system provided above.

[0034] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned method for reliability assessment of a through-type flexible traction power supply system.

[0035] In a fourth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for reliability assessment of a through-type flexible traction power supply system.

[0036] According to the specific embodiments provided in this application, this application has the following technical effects:

[0037] The present application provides a method, equipment, medium and product for reliability assessment of a through-type flexible traction power supply system. By analyzing the fault behavior of the through-type flexible traction power supply system during normal operation, a comprehensive evaluation system is constructed, and a reliability data acquisition system for the traction power supply system and the establishment of corresponding quantitative reliability evaluation indicators are realized. The Monte Carlo simulation method is adopted, and the key reliability evaluation indicators of the through-type flexible traction power supply system under different operating conditions are simulated based on the reliability evaluation model constructed by the block processing fault tree method. It can accurately reflect the real-time status of the system during actual operation, and based on the comprehensive evaluation system, the reliability evaluation of the through-type flexible traction power supply system is completed by using the key reliability evaluation indicators, which reduces the difficulty of reliability evaluation, solves the problem of certain limitations in the evaluation results, and thus meets the needs of actual engineering applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0039] Figure 1 A flow chart of a reliability assessment method for a through-type flexible traction power supply system provided in one embodiment of the present application;

[0040] Figure 2 A schematic structural diagram of a through-type flexible traction power supply system provided in one embodiment of the present application;

[0041] Figure 3 A schematic structural diagram of a cascade converter provided in one embodiment of the present application;

[0042] Figure 4 A schematic diagram of a reliability assessment model provided in one embodiment of the present application;

[0043] Figure 5 A schematic diagram of state transitions of a through-type flexible traction power supply system provided in one embodiment of the present application;

[0044] Figure 6 A schematic diagram of a process for performing reliability assessment using the Monte Carlo method according to an embodiment of the present application;

[0045] Figure 7 A schematic diagram of an unavailability curve of a through-type flexible traction power supply system provided in one embodiment of the present application;

[0046] Figure 8 A schematic diagram of an implementation flow of a reliability assessment method for a through-type flexible traction power supply system provided in one embodiment of the present application;

[0047] Figure 9 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0049] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0050] In an exemplary embodiment, the present application provides a method for evaluating the reliability of a through-type flexible traction power supply system. The method is executed by a computer device, specifically a computer device such as a terminal or a server, or a terminal and a server. In the embodiment of the present application, the method is applied to a server as an example for explanation. Figure 1 As shown, the method includes:

[0051] Step 100: Analyze the fault behavior of the through-type flexible traction power supply system (hereinafter referred to as the system) during normal operation and build a comprehensive evaluation system.

[0052] Step 101: Based on the power supply structure and operation mode of the through-type flexible traction power supply system and the equipment inside the through-type flexible traction power supply system, a reliability assessment model of the through-type flexible traction power supply system is established using a block processing fault tree method.

[0053] Step 102: Using a Monte Carlo simulation method, the reliability assessment model is simulated to obtain key reliability evaluation indicators for the through-type flexible traction power supply system under different operating conditions. Key reliability evaluation indicators include mean time between failures, mean time to repair, failure rate, and availability. Availability refers to the probability that the through-type flexible traction power supply system will operate normally.

[0054] Step 103: Based on the comprehensive evaluation system, reliability evaluation key indicators are used to complete the reliability evaluation of the through-type flexible traction power supply system. The reliability status corresponding to the reliability evaluation key indicators is obtained from the comprehensive evaluation system to complete the reliability evaluation of the through-type flexible traction power supply system.

[0055] By implementing the above steps 100 to 103, the present application can accurately reflect the real-time status of the system during actual operation, reduce the difficulty of reliability evaluation, solve the problem of certain limitations in the evaluation results, and thus meet the needs of actual engineering applications.

[0056] In another exemplary embodiment of the present application, in order to provide quantitative indicators for system stability and fault recovery capabilities, by analyzing the fault behavior during normal system operation, it is possible to accurately identify the key factors affecting system stability and build a comprehensive evaluation system. Based on this, the implementation process of the above step 100 of the present application can be described as follows:

[0057] By thoroughly analyzing the system's failure behavior during normal operation, we accurately identify the key factors affecting system stability and, based on this, develop a comprehensive evaluation system. This comprehensive evaluation system comprehensively considers time-related and frequency-related indicators, as well as system availability and unavailability. Time-related indicators, such as mean time between failures (MTBF) and mean time to repair (MTTR), quantify the system's long-term stability and resilience. Frequency-related indicators, such as the failure rate, measure the frequency of system failures within a specific time period. System availability and unavailability directly describe the probability of the system operating normally at any given moment.

[0058] In another exemplary embodiment of the present application, the implementation process of the above step 101 may include:

[0059] (1) Based on the power supply structure and operation mode of the through-type flexible traction power supply system and the internal equipment of the through-type flexible traction power supply system, the block processing fault tree method is used to divide the through-type flexible traction power supply system into multiple functional blocks. The functional blocks are analyzed to determine the top event, intermediate event, and bottom event. The top event is the event that indicates the failure of the through-type flexible traction power supply system. The intermediate event is the failure event that causes the top event. The bottom event is the failure event that constitutes the intermediate event.

[0060] (2) Use logic gates to connect the top event, middle event and bottom event to obtain the reliability assessment model.

[0061] Further, Figure 2 Taking the through-type flexible traction power supply system shown in FIG as an example, the implementation process of the above steps (1) and (2) is explained as an example. Figure 2 As shown in the figure, the A area of the through-type flexible traction power supply system is the step-down rectifier area, in which the cascade converter (such as Figure 3 As shown) is the key to the reliability evaluation of the entire system. Based on this, in this embodiment, the above step 101 is used to establish Figure 4The fault tree model (i.e., reliability assessment model) of a through-type flexible traction power supply system is shown. Event T represents the failure of the entire cascade converter (i.e., cascade converter fault). The failure is caused by five intermediate events: G1 (three-phase rectifier fault), G2 (DC stabilizing capacitor bank fault), G3 (three-phase input side inductor bank fault), G4 (filter branch failure), and G5 (single-phase inverter fault). Each intermediate event is composed of multiple bottom events (X*, *=1, 2, 3..., 11), which are connected to the intermediate events through logic gates. For example, a three-phase rectifier fault (G1) could be caused by a fault in the three-phase rectifier IGBT module (X1 to X2) or the diode (X3 to X4). A DC stabilizing capacitor bank fault (G2) could be caused by a fault in the capacitor (X5 to X6). A three-phase input side inductor bank fault (G3) could be caused by a fault in the three-phase input side inductor (X7 to X9). A filter branch failure (G4) may be caused by a fault in the filter branch inductor (X10) or capacitor (X11). A single-phase inverter fault (G5) may be caused by a fault in the three-phase rectifier IGBT module (X1 to X2) or diode (X3 to X4). Figure 3 In the figure, L represents the input inductance of the AC side, and R represents the input resistance of the AC side. a ,i b and i c They are three-phase AC input currents, namely a, b, and c three-phase currents, C dc Indicates the DC side support capacitance, i dc Indicates the DC side current, U dc Indicates the DC bus voltage, L1 indicates the inverter output inductance, i L represents the inverter output current, and C represents the inverter output capacitance.

[0062] In another exemplary embodiment of the present application, in order to solve the complex problem of multi-index reliability of the through-type flexible traction power supply system, random sampling and simulation are used to analyze the reliability performance of the system under different operating conditions to further verify and refine the system availability calculation. Based on this, in this embodiment, the implementation process of step 102 provided above in the present application may include:

[0063] 1) Obtain the original data of the internal equipment of the through-type flexible traction power supply system under different operating conditions.

[0064] 2) Generate a first random matrix D and a second random matrix D' whose element value range is between 0 and 1 to simulate the failure rate and repair rate of the bottom event.

[0065] 3) Based on the original data of the internal equipment of the through-type flexible traction power supply system, the first random matrix and the second random matrix, the fault distribution function F of each device is constructed. n(t) and the repair distribution function G m (t).

[0066] 4) Perform inverse transformation on the fault distribution function and the repair distribution function to obtain the inverse fault distribution function and the inverse repair distribution function.

[0067] 5) Based on the inverse function of the failure distribution and the inverse function of the repair distribution, the failure duration and repair duration of each bottom event in the reliability assessment model are determined, and a bottom event state sequence is generated.

[0068] For example, assuming the total number of bottom events is N, for the nth bottom event, its pth fault duration and repair duration are:

[0069]

[0070] Where, δ n,p represents the duration of the pth fault of the nth bottom event, δ′ n,p It represents the repair duration of the pth fault of the nth bottom event. For the nth bottom event, the probability distribution of its fault occurrence is given by the function F n Represented by, and the probability distribution of repair time is represented by the function G n Indicates. n and d′ n They represent the elements corresponding to the nth bottom event in the first random matrix D and the second random matrix D' respectively. represents the inverse fault distribution function, represents the inverse repair distribution function.

[0071] Furthermore, assuming that all devices are in normal operation at the start time, for the nth bottom event, the time point at which the i-th fault occurs is t n,i , and the corresponding repair completion time is recorded as t′ n,i ,have:

[0072]

[0073] 6) According to the reliability assessment model, the state sequence and state duration of the through-type flexible traction power supply system are obtained based on the bottom event state sequence. The bottom event states include working state, fault state and repair state.

[0074] For example, according to the series and parallel relationship between devices, the timing state conversion process of all devices is combined to establish Figure 5 The state transition of a pure series-parallel system is shown in Figure 2. Based on the system's fault tree model (i.e., reliability assessment model), the specific states of the system or equipment between adjacent states and the duration of these states can be identified.

[0075] 7) The key indicators for reliability evaluation are obtained based on the state sequence and state duration of the through-type flexible traction power supply system.

[0076] Based on the description of steps 1) to 7) above, the reliability index of the system is calculated by analyzing all the system states obtained by sampling. Figure 6 The sampling time shown in the figure is FT, and the number of state samples to be extracted for each component is k. The process of using Monte Carlo simulation to evaluate the reliability of the traction power supply system is as follows: Figure 6 shown.

[0077] In another exemplary embodiment of the present application, in order to quantify the long-term stability and fault recovery capability of the system and provide data support for system maintenance and optimization, the implementation process of the above step 7) includes:

[0078] (1) The fault density and repair density are determined based on the state sequence and state duration of the through-type flexible traction power supply system.

[0079] (2) Determine the mean time between failures and mean time to repair based on the fault density and repair density. The mean time between failures is the mathematical expectation of the system's trouble-free working time, which is:

[0080]

[0081] Where MTBF stands for mean time between failures, f(t) represents the probability of the system experiencing its first failure between (t, t+Δt), or the failure density, and Δt represents the time interval.

[0082] The mean time to repair a fault is the expected value of the repair time, which is:

[0083]

[0084] Where MTTR is the mean time to repair a fault, and g(t) is the repair density.

[0085] (3) Determine the failure rate based on the failure density. m,f (t) represents the degree of failure that occurs before time t during the operation of system or equipment m. The calculation formula is:

[0086]

[0087] Where, f m (t) represents the fault density of device m at time t, n m,f (t) represents the number of times that device m has failed before time t, the subscript f represents failure, N m(t) represents the total number of devices m participating in the statistics before time t.

[0088] (4) Determine availability based on the mean time between failures and the mean time to repair failures. Availability is denoted by A ν (t) refers to the probability that the system can operate normally at time t when it starts to operate normally. When the failure rate and repair rate are constant, their failure time and repair time conform to the exponential distribution, then the system availability A ν (∞) converges to a constant that is independent of t, namely, the steady-state availability A ν , the formula is:

[0089]

[0090] Correspondingly, the steady-state unavailability is A v ′:

[0091] A v ′=1-A ν .

[0092] In particular, when system failures and repairs follow an exponential distribution, the steady-state unavailability can be expressed as

[0093]

[0094] Based on the above description, we can get Figure 7 The unavailability curve of the through-type flexible traction power supply system is shown.

[0095] In another exemplary embodiment of the present application, Figure 8 As shown, the implementation process of the reliability assessment method of the through-type flexible traction power supply system provided in the present application includes:

[0096] Step 1: Analyze the fault behavior of the through-type flexible traction power supply system during normal operation and determine the key indicators for reliability evaluation.

[0097] Step 2: Based on the failure and repair time data (i.e., system failure density and repair density), calculate the mean time between failures and the mean time to repair.

[0098] Step 3: Determine the failure rate and repair rate of the through-type flexible traction power supply system, and calculate the system availability and unavailability.

[0099] Step 4: Based on the power supply structure and operation mode of the through-type flexible traction power supply system and its internal equipment, a block-processing fault tree method is used to establish a reliability assessment model for the system. For example, a block-processing fault tree method is used to establish a reliability assessment model for the system based on the cascade converter.

[0100] Step 5: Introduce the Monte Carlo simulation method to solve the complex problem of multi-index reliability of the through-type flexible traction power supply system. This step uses the model established in Step 4 to analyze the reliability performance of the system under different operating conditions through random sampling and simulation, further verifying and refining the system availability calculation in Step 3.

[0101] For example, Sequential Monte Carlo simulation is used to perform reliability analysis on the traction power supply system (i.e., the through-type flexible traction power supply system).

[0102] Step 6: By comparing the indicators of different areas, the reliability status of the entire traction power supply system is obtained. In this step, the key reliability indicators of the system are obtained based on the reliability assessment results of the through-type flexible traction power supply system, and then the reliability status of the entire traction power supply system is obtained.

[0103] In summary, this application realizes a dynamic evaluation of the real-time operating status of the system by analyzing fault behavior, calculating key indicators, establishing a fault tree model, and applying Monte Carlo simulation technology. It comprehensively considers time-related and frequency-related indicators and the availability and unavailability of the system, provides specific indicators for quantitative evaluation, and provides a basis for formulating scientific maintenance plans, effectively improving the accuracy and reliability of the evaluation.

[0104] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 9 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing 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 program in the non-volatile storage medium. The database of the computer device is used to store reliability assessment data of a through-type flexible traction power supply system. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a reliability assessment method for a through-type flexible traction power supply system is implemented.

[0105] Those skilled in the art will understand that Figure 9The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0106] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0107] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0108] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0109] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0110] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (RRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0111] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0112] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0113] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A reliability assessment method for a through-type flexible traction power supply system, characterized in that: include: Analyze the fault behavior of the through-type flexible traction power supply system during normal operation and build a comprehensive evaluation system; Based on the power supply structure and operation mode of the through-type flexible traction power supply system and the internal equipment of the through-type flexible traction power supply system, a reliability assessment model of the through-type flexible traction power supply system is established using the block processing fault tree method. Monte Carlo simulation method is used to obtain the key reliability evaluation indicators of the through-type flexible traction power supply system under different operating conditions based on the reliability assessment model simulation. Based on the comprehensive evaluation system, the reliability evaluation of the through-type flexible traction power supply system is completed using key reliability evaluation indicators.

2. The reliability assessment method of the through-type flexible traction power supply system according to claim 1 is characterized in that: Based on the power supply structure and operation mode of the through-type flexible traction power supply system and the internal equipment of the through-type flexible traction power supply system, a reliability assessment model of the through-type flexible traction power supply system is established using the block processing fault tree method, including: Based on the power supply structure and operation mode of the through-type flexible traction power supply system and the equipment inside the through-type flexible traction power supply system, the block processing fault tree method is used to divide the through-type flexible traction power supply system into multiple functional blocks, and the functional blocks are analyzed to determine the top event, intermediate event and bottom event; the top event is an event indicating the failure of the through-type flexible traction power supply system; the intermediate event is a failure event that causes the top event; the bottom event is a failure event that constitutes the intermediate event; The top event, the middle event and the bottom event are connected by logic gates to obtain a reliability evaluation model.

3. The reliability assessment method of the through-type flexible traction power supply system according to claim 1 is characterized in that: The key indicators for reliability evaluation include: mean time between failures, mean time to repair, failure rate and availability; the availability refers to the probability of normal operation of the through-type flexible traction power supply system.

4. The reliability assessment method of the through-type flexible traction power supply system according to claim 3 is characterized in that: Using the Monte Carlo simulation method and based on the reliability assessment model, the key reliability evaluation indicators of the through-type flexible traction power supply system under different operating conditions are obtained, including: Obtain the original data of the internal equipment of the through-type flexible traction power supply system under different operating conditions; generating a first random matrix and a second random matrix with element values ranging from 0 to 1 to simulate the failure rate and repair rate of the bottom event; A fault distribution function and a repair distribution function are constructed based on the original data of the internal equipment of the through-type flexible traction power supply system, the first random matrix and the second random matrix; Performing inverse transformation on the fault distribution function and the repair distribution function to obtain an inverse fault distribution function and an inverse repair distribution function; Determine the failure duration and repair duration of each bottom event in the reliability assessment model based on the inverse failure distribution function and the inverse repair distribution function, and generate a bottom event state sequence; According to the reliability assessment model, the state sequence and state duration of the through-type flexible traction power supply system are obtained based on the state sequence of the bottom events; the states of the bottom events include working state, fault state and repair state; The key indicators for reliability evaluation are obtained based on the state sequence and state duration of the through-type flexible traction power supply system.

5. The reliability assessment method of the through-type flexible traction power supply system according to claim 4 is characterized in that: Based on the state sequence and state duration of the through-type flexible traction power supply system, key reliability evaluation indicators are obtained, including: Determine the fault density and repair density based on the state sequence and state duration of the through-type flexible traction power supply system; Determine the mean time between failures and mean time to repair based on the failure density and repair density; Determine the failure rate based on the failure density; Availability is determined based on the mean time between failures and the mean time to repair.

6. The reliability assessment method of a through-type flexible traction power supply system according to claim 1 is characterized in that: Based on the comprehensive evaluation system, the reliability evaluation of the through-type flexible traction power supply system is completed using key reliability evaluation indicators, including: The reliability status corresponding to the key reliability evaluation indicators is obtained from the comprehensive evaluation system to complete the reliability evaluation of the through-type flexible traction power supply system.

7. The reliability assessment method of a through-type flexible traction power supply system according to claim 4 is characterized in that: The reliability assessment method of the through-type flexible traction power supply system further includes: The time point at which the failure of each basic event occurs and the time point at which the repair is completed are determined based on the failure duration and repair duration of each basic event.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the reliability assessment method for a through-type flexible traction power supply system according to any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the reliability assessment method of the through-type flexible traction power supply system described in any one of claims 1 to 7 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the reliability assessment method of the through-type flexible traction power supply system described in any one of claims 1 to 7 is implemented.

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