Urban rail transit power supply equipment state evaluation method, system, medium and device

Abstract

The application provides a kind of urban rail transit power supply equipment state evaluation method, system, medium and equipment. Among them, the method comprises using equipment state evaluation model urban rail transit power supply system equipment is divided into four levels from top to bottom, line, subsystem, equipment and component;From bottom to top, according to the preset configuration component evaluation index, component classification weight, equipment evaluation index, equipment classification weight and subsystem classification weight, the evaluation score of each line is calculated;According to the preset semantic scale standard and the evaluation score of each line, the state of the power supply equipment of each line is judged;Among them, the state of power supply equipment includes normal state, attention state, abnormal state and serious state.

Description

Technical Field

[0001] This invention belongs to the field of equipment condition assessment technology, and in particular relates to a method, system, medium and equipment for assessing the condition of power supply equipment for urban rail transit. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Currently, the dimensions for assessing the equipment status of urban rail transit power supply systems are relatively fragmented, mainly focusing on equipment maintenance quality, failure rate, severity of impact, and equipment lifecycle management, which makes it difficult to accurately reflect the equipment's operational status. In contrast, the power grid and power industry, with their more comprehensive information management solutions and higher levels of intelligence, have integrated multiple dimensions and levels, such as equipment lifespan, specific influencing factors, expert comprehensive analysis, fault diagnosis results, and big data-driven approaches, into their assessment models to conduct a comprehensive evaluation of equipment operational status. Furthermore, the focus of equipment status assessment varies depending on the equipment's state (fault state, normal operation, maintenance state, etc.) and the operational phase (initial, mid, and late stages). Additionally, the initial assessment models may have issues such as being non-standardized, unreasonable, and unable to fully reflect the equipment status, requiring continuous testing, adjustment, and improvement. Summary of the Invention

[0004] To address the technical problems existing in the background art, the present invention provides a method, system, medium, and equipment for assessing the status of power supply equipment for urban rail transit, which can standardize the assessment results, form quantifiable and comparable results, improve data comparability, and reduce data interpretability.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] The first aspect of the present invention provides a method for assessing the condition of power supply equipment for urban rail transit.

[0007] In one or more embodiments, a method for assessing the condition of power supply equipment for urban rail transit is provided, which specifically includes the following steps:

[0008] The equipment condition assessment model for urban rail transit power supply systems is divided into four levels from top to bottom: lines, subsystems, equipment, and components.

[0009] The evaluation score of each line is calculated layer by layer from bottom to top based on the preset component evaluation index, component classification weight, equipment evaluation index, equipment classification weight and subsystem classification weight.

[0010] Based on the preset semantic scaling standard and the evaluation scores of each line, the status of the power supply equipment of each line is determined; the status of the power supply equipment includes normal status, attention status, abnormal status and critical status.

[0011] As one implementation method, the equipment status assessment model assigns weights to each level of the urban rail transit power supply system equipment according to a preset importance level configuration.

[0012] As one implementation method, the process of calculating the evaluation score for each line is as follows:

[0013] Obtain all equipment types to be evaluated in the urban rail transit power supply system, as well as all equipment to be evaluated for each type;

[0014] Based on the preset evaluation model, the evaluation indicators and their evaluation parameters for each device, as well as the information of the components involved in the evaluation, are obtained. The evaluation indicator values ​​for each device and each component are then analyzed using the indicator calculation formula.

[0015] Based on the membership information of each indicator item of the components and equipment, as well as the indicator weight information, the evaluation result vector of each preset evaluation dimension is obtained.

[0016] The evaluation result vector of the equipment is obtained by considering the weights and evaluation result vectors of all components in the equipment, as well as the corresponding vectors and weights of equipment status quantities, maintenance quantities, testing quantities, failure quantities, and expert evaluation quantities.

[0017] Based on the weights of all devices in the subsystem and their corresponding evaluation result vectors, and combined with the weights of the subsystem, the evaluation score of each line is obtained.

[0018] As one implementation method, in the preset semantic scaling standard, the membership function is calculated using a piecewise function.

[0019] A second aspect of the present invention provides a condition assessment system for urban rail transit power supply equipment.

[0020] In one or more embodiments, a condition assessment system for urban rail transit power supply equipment is provided, which specifically includes the following modules:

[0021] The system partitioning module is used to divide the equipment status assessment model of the urban rail transit power supply system equipment into four levels from top to bottom: line, subsystem, equipment, and components.

[0022] The evaluation scoring module is used to calculate the evaluation score of each line from bottom to top, based on the preset component evaluation indicators, component classification weights, equipment evaluation indicators, equipment classification weights, and subsystem classification weights.

[0023] The status judgment module is used to determine the status of the power supply equipment of each line based on the preset semantic scaling standard and the evaluation score of each line; the status of the power supply equipment includes normal status, attention status, abnormal status and critical status.

[0024] As one implementation method, in the system partitioning module, the hierarchical weights of each level of the equipment in the urban rail transit power supply system equipment in the equipment status assessment model are configured according to a preset importance level.

[0025] As one implementation, the evaluation scoring module includes:

[0026] The equipment information acquisition submodule is used to acquire all equipment types to be evaluated in the urban rail transit power supply system and all equipment to be evaluated for each type.

[0027] The indicator value calculation submodule is used to obtain the evaluation indicators, evaluation parameters, and component information of each device according to the preset evaluation model, and to parse the evaluation indicator values ​​of each device and each component through the indicator calculation formula.

[0028] The dimension vector calculation submodule is used to obtain the evaluation result vector of each preset evaluation dimension based on the membership information of each indicator item of the components and equipment, as well as the indicator weight information.

[0029] The equipment vector calculation submodule is used to obtain the equipment evaluation result vector based on the weights and evaluation result vectors of all components in the equipment, as well as the corresponding vectors and weights of equipment status quantities, maintenance quantities, test quantities, fault quantities, and expert evaluation quantities.

[0030] The line evaluation score calculation submodule is used to obtain the evaluation score of each line based on the weights of all devices in the subsystem and the corresponding evaluation result vectors, combined with the weights of the subsystem.

[0031] As one implementation, in the state determination module, the membership function is calculated using a piecewise function in the preset semantic scaling standard.

[0032] A third aspect of the present invention provides a computer-readable storage medium.

[0033] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-described method for assessing the condition of power supply equipment for urban rail transit.

[0034] A fourth aspect of the present invention provides an electronic device.

[0035] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps in the urban rail transit power supply equipment condition assessment method described above.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] This invention enables flexible and variable evaluation model management through flexible data retrieval logic configuration and indicator calculation formula configuration and analysis. It has a wide range of applicability. By modifying the indicator name, data retrieval logic configuration, indicator calculation formula configuration and indicator weight, the equipment status evaluation model can be quickly applied in various industries such as urban rail transit power supply equipment, power system power supply equipment and port terminal power supply equipment.

[0038] The equipment assessment of this invention is accurate, providing operators with a basis for maintenance. When equipment is in an abnormal state, on-site inspection and repair can be carried out in a timely manner to prevent it from deteriorating to a serious state and causing equipment failure. It also enhances the ability to predict failures and nip them in the bud.

[0039] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0040] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0041] Figure 1 This is a flowchart of a method for assessing the condition of urban rail transit power supply equipment according to an embodiment of the present invention;

[0042] Figure 2 This is a schematic diagram illustrating the hierarchical division of an urban rail transit power supply system according to an embodiment of the present invention;

[0043] Figure 3 This is a flowchart illustrating the calculation of evaluation scores for each line according to an embodiment of the present invention. Detailed Implementation

[0044] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0045] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0046] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0047] Example 1

[0048] Reference Figure 1 This embodiment provides a method for assessing the condition of power supply equipment for urban rail transit, which specifically includes the following steps:

[0049] S101: The equipment condition assessment model for urban rail transit power supply system equipment is divided into four levels from top to bottom: line, subsystem, equipment, and components.

[0050] like Figure 2 As shown, the equipment classification adheres to the basic principle of "the critical ones are a few, the secondary ones are a lot, and the unimportant ones cannot be ignored." It divides equipment into subsystems based on its function and purpose, and classifies the importance of equipment and components based on factors such as the impact of subsystem, equipment, and component failures and the difficulty of maintenance. Subsystems, equipment, and components are then classified into Level 1, Level 2, and Level 3 according to their importance level from high to low.

[0051] The classification of subsystems and equipment is based on the following criteria:

[0052] Level 1 subsystems and devices:

[0053] a) Equipment that directly affects operational safety;

[0054] b) Equipment responsible for the main functions of its system that causes the system to degrade to a lower operating level after a failure;

[0055] c) Central-level key equipment responsible for various information query, operation and monitoring functions within its system;

[0056] d) Large or precision equipment that is high in value, complex to maintain, difficult to purchase or manufacture spare parts, and not easy to update.

[0057] Secondary subsystems and equipment:

[0058] a) Equipment responsible for a local function of its system, which causes a partial shutdown of the system function after a failure;

[0059] b) Within the system, the key station-level equipment responsible for station-level information query, operation, and monitoring functions;

[0060] c) Backup emergency equipment for the power supply system.

[0061] d) Specialized equipment for functional testing and condition monitoring.

[0062] Level 3 subsystems and equipment:

[0063] a) Equipment that, after a failure, has little impact on the functionality of the system it belongs to, and only causes a single point of shutdown;

[0064] b) General-purpose devices that are numerous, widely distributed, and have a single function within the system;

[0065] c) Self-made equipment and auxiliary tools used for rough processing;

[0066] d) Equipment that is beyond repair.

[0067] The components are classified according to the following criteria:

[0068] Tier 1 components:

[0069] a) Responsible for the main functions of the equipment under its jurisdiction. Failure will directly lead to the equipment being degraded and unable to be restored in a short time or may reduce the performance of the equipment or cause it to operate in a degraded manner after manual operation.

[0070] Secondary components:

[0071] a) Within the equipment, the key structural units responsible for operation, control, monitoring, communication, and data acquisition functions, which can be immediately restored by manual operation, such as switching operating modes, resetting, and restarting;

[0072] b) Large or precision equipment structural units that are high-value, complex to maintain, difficult to procure or manufacture spare parts, and not easy to update.

[0073] Level 3 components:

[0074] a) Structural units that provide equipment redundancy, requiring no operation for recovery and having no impact after a failure;

[0075] b) Equipment structural units that are numerous, widely distributed, have a single function, and are not worth repairing within the equipment.

[0076] The subsystem hierarchy and types are shown in Table 1.

[0077] Table 1 Subsystem Classification and Types

[0078]

[0079]

[0080] The equipment classification and types are shown in Table 2.

[0081] Table 2 Equipment Classification and Type

[0082]

[0083]

[0084] The component classification and types are shown in Table 3.

[0085] Table 3 Component Classification and Type

[0086]

[0087]

[0088]

[0089] In step S101, the weights of each level of the urban rail transit power supply system equipment in the equipment status assessment model are configured according to the preset importance level.

[0090] In this embodiment, the power supply system is divided into 13 subsystems, including 8 primary systems, 2 secondary systems, and 3 tertiary systems. Following the order of "Subsystem Classification and Type" above, the weights of each subsystem are as follows:

[0091] W x =(0.142,0.171,0.151,0.07,0.078,0.081,0.087,0.078,0.0768,0.0352,0.009,0.017,0.004)

[0092] S102: From bottom to top, the evaluation score of each line is calculated layer by layer according to the preset component evaluation index, component classification weight, equipment evaluation index, equipment classification weight and subsystem classification weight.

[0093] Specifically, such as Figure 3 As shown, in step S102, the process of calculating the evaluation score for each line is as follows:

[0094] Step S1021: Obtain all equipment types to be evaluated in the urban rail transit power supply system and all equipment to be evaluated for each type;

[0095] Step S1022: Obtain the evaluation indicators and their evaluation parameters for each device and the information of the components involved in the evaluation according to the preset evaluation model, and parse out the evaluation indicator values ​​for each device and each component through the indicator calculation formula.

[0096] Step S1023: Based on the membership information of each indicator item of the components and equipment, and the indicator weight information, obtain the evaluation result vector of each preset evaluation dimension.

[0097] Step S1024: Based on the weights and evaluation result vectors of all components in the equipment, as well as the corresponding vectors and weights of equipment status quantities, maintenance quantities, testing quantities, fault quantities, and expert evaluation quantities, obtain the equipment evaluation result vector;

[0098] Step S1025: Based on the weights of all devices in the subsystem and the corresponding evaluation result vectors, and combined with the weights of the subsystem, obtain the evaluation score of each line.

[0099] Since the number of devices at each level is uncertain and may vary depending on the length of the line and the size of the scale, the device weights are uniformly set according to the level. In the final calculation, the total weight 1 is divided by the sum of the products of the number of devices at each level and the weight of that level to determine the final weight of each device.

[0100] W s =(0.473,0.321,0.206)

[0101] The weights of components are uniformly set according to their levels. In the final calculation, the total weight 1 is divided by the sum of the products of the number of devices in each level and the weight of that level to determine the final weight of each device.

[0102] W y =(0.5,0.389,0.111)

[0103] S103: Determine the status of the power supply equipment for each line based on the preset semantic scaling standard and the evaluation score of each line; the status of the power supply equipment includes normal status, attention status, abnormal status and critical status.

[0104] In the preset semantic scaling standard, the membership function is calculated using a piecewise function.

[0105] The equipment evaluation model needs to be configured with weights for several dimensions, including state variables, maintenance variables, testing variables, failure variables, expert evaluation analysis, and component evaluation analysis. It also needs to be configured with the evaluation indicators, data retrieval logic, calculation formulas, and weights for each indicator under each dimension.

[0106] The following section uses a 35kV incoming line cabinet as an example to detail the equipment condition assessment model:

[0107] The equipment evaluation model needs to be configured with the following weights for the dimensions of state variables, maintenance variables, testing variables, failure variables, expert evaluation analysis, and component evaluation analysis:

[0108] W z =(0.3,0.2,0.2,0.1,0.08,0.12)

[0109] The evaluation dimensions include configuration status quantity, operation and maintenance quantity, test quantity, failure quantity, expert evaluation analysis, and component evaluation analysis. Each dimension has its own evaluation indicators based on different equipment types and different equipment. Each dimension assigns weights to each evaluation indicator according to the importance of the indicator, which are represented as W1, W2, W3, W4, W5, and W6, respectively.

[0110] Status variables can be obtained remotely in real time through an online equipment monitoring system. They reflect the real-time operating status of the equipment when it is put into operation and are characterized by large data volumes, frequent changes, and correlation between data over continuous periods. By analyzing changes in status variable parameters, operators can help determine whether the equipment is experiencing abnormal or faulty conditions. Status variables are often evaluated using piecewise functions to obtain corresponding indicator values.

[0111] Incoming line voltage:

[0112] Both excessively high and low incoming line voltages are detrimental to the normal operation of the equipment. Therefore, the maximum value (represented by the variable Ua) and minimum value (represented by the variable U) of the three-phase incoming line voltage are specified. i The value (indicated by the variable Ur) shall not exceed ±10% of the rated value. The formula for calculating the index value is as follows:

[0113] X = (U a >U r *1.1||U i r *0.9)? 0:1

[0114] Incoming current:

[0115] Overcurrent operation of equipment threatens the safe operation of the power supply system. Therefore, the maximum value of the three-phase incoming current (represented by variable U) must not exceed ±10% of the current warning value (represented by variable Ur). The formula for calculating the index value is as follows:

[0116] X=U>U r ? 0:1

[0117] Busbar air chamber pressure:

[0118] The busbar air chamber pressure value is U, and the low air pressure warning value is X. warnl The low pressure alarm value is X. alarml The high-pressure warning value is X. warnh The high-pressure alarm value is X. alarmh The air pressure index of the air chamber is calculated using the following formula:

[0119] X=(U≤X alarml ||U≥X alarmh )? 0:(U>X alarml &U≤X warnl )? ((UX alarml ) / (X​warnl -X alarml )):

[0120] (U>X warnl &U≤X warnh )? 1:(1-(UX warnh ) / (X alarmh -X warnh ))

[0121] Operational workload assessment:

[0122] Equipment lifespan:

[0123] The equipment usage time (represented by U) is divided into four stages: new commissioning (represented by X1), mid-commissioning (represented by X2), end of commissioning (represented by X3), and overdue. The indicator values ​​are calculated in segments on an annual basis, and the calculation formula is as follows:

[0124] X=U≤X1?0.9:(U≤X2)? 0.8:(U≤X3)? 0.7:0.6

[0125] Core spare parts inventory:

[0126] Spare parts inventory during the supply cycle shall not exceed the safety stock level; minimum inventory level for critical spare parts. The inventory level for core spare parts is U, the minimum inventory level is X1, and the safety stock level is X2. The formulas for calculating these indicators are as follows:

[0127] X=U≤0?0.6: (U≤X1)? 1:(U≤X2)? 0.9:0.7

[0128] Maintenance duration:

[0129] The equipment maintenance duration (represented by variable U) must not exceed the planned maintenance duration (represented by variable Ur). The formula for calculating the indicator value is as follows:

[0130] X=U>U r ? 0:1

[0131] Experimental quantity assessment:

[0132] SF6 gas moisture content test in arc-extinguishing chamber:

[0133] Let the moisture content of SF6 in the circuit breaker chamber be U, and the early warning value for trace moisture testing be X. warn The alarm value for the micro-water test is X. alarm ,but:

[0134] X=U≤X warn ? 1:U>X alarm ? 0:(1-(UX) warn ) / (X alarm -X warn ))

[0135] Other chamber SF6 gas moisture testing:

[0136] Let the moisture content of SF6 in other chambers be U, and the early warning value for trace moisture testing be X. warn The alarm value for the micro-water test is X. alarm ;but:

[0137] X=U≤X 1alarm ? 1:U>X 2alarm ? 0:(1-(UX) 1alarm ) / (X 2alarm -X alarm ))

[0138] Main circuit contact resistance:

[0139] Let the measured value of the main circuit contact resistance be U, and the value of the acceptance test be Ue. xper ,but:

[0140] X=(0.8≤U / U exper ≤1.2)? 1:0

[0141] Insulation resistance of each phase:

[0142] Let U be the minimum insulation resistance of each phase, then

[0143] X = U > 100000? 1:0

[0144] Fault quantity assessment:

[0145] Equipment failure rate:

[0146] According to equipment management theory, equipment failure rate is the percentage of downtime due to failure to planned uptime. Let the downtime due to equipment failure be U and the planned uptime be X. plan but

[0147] X = U / X plam

[0148] Severity of impact from equipment failure:

[0149] Let U be the number of Class A faults in the equipment. A The number of Class B equipment failures is U. B The number of Class C equipment failures is U. C ,but

[0150] X = B*(1-U) A / S A )+B B *(1-U B / S B )+B C *(1-U C / SC )

[0151] Number of equipment defects:

[0152] Equipment defects are divided into three categories: Category I (critical defects); Category II (serious defects); and Category III (general defects). These can be represented as 1, 2, and 3, respectively. Let U1 be the number of Category I defects, U2 be the number of Category II defects, and U3 be the number of Category III defects, then...

[0153] X=(U1≥0||U2≥0||U3≥0)? (1-0.4*U1-0.3*U2-0.2*U3): 1

[0154] Expert evaluation and analysis:

[0155] Fiber optic attenuation:

[0156] The optical fiber attenuation value is U, and the warning value is x. warn Alarm value x alarm ,but:

[0157] X=U≤X alarm ? 0:U≤X warn ? 0.6:1

[0158] Relay protection function verification

[0159] Let the verification result be U. If the verification result is qualified (represented by U=1), then the index value is 1; otherwise, it is 0.

[0160] X = (U = 1)? 1:0

[0161] Partial discharge quantity

[0162] Let the measured value of partial discharge be U, and the warning value of partial discharge be X. warn The partial discharge alarm value is X. alarm ,but

[0163] X=U≤ warn ? 1:U≥X alarm ? 0:(1-(UX) warn ) / (X warn -X warn ))

[0164] Component evaluation and analysis:

[0165] Component evaluation weights:

[0166] Circuit breaker evaluation:

[0167] Number of actions:

[0168] Let the mechanical life of the circuit breaker be U, then the circuit breaker's number of operations index is:

[0169] X=U≤5000? 1:5000 <U≤9300?(1-(U-5000) / (9300-5000)*0.1):9300<U≤10000?

[0170] (1-(U-9300) / (10000-9300)*0.3):0

[0171] Number of interruptions:

[0172] Let U be the number of times the circuit breaker breaks, and X be the warning value for the number of breaks. warn The alarm value for the number of interruptions is X. alarm ,but:

[0173] X=U≤X warn ? 1:U>X alarm ? 0:(1-(UX) warn ) / (X alarm -X warn ))

[0174] Set the air pressure value for the circuit breaker compartment:

[0175] Let the gas pressure in the circuit breaker / busbar air chamber be U, and the low gas pressure warning value be X. warnl The low pressure alarm value is X. alarml The high-pressure warning value is X. warnh The high-pressure alarm value is X. alarmh Then the air pressure index of the air chamber is:

[0176] X = X warnl ≤U≤X warnh ? 1:U≥X warnh ||U≤X warnl ? 0:X warnh <U≤X warnh ?

[0177] (1-(UX warnh ) / (X alarmh -X warnh )):((UX alarml ) / (X warnh -X alarml ))

[0178] Opening time and three-phase asynchrony time:

[0179] Let the tripping time be U. a The three-phase asynchronous time is U b ,but:

[0180] X=(35≤U a &&U a ≤45&&U b<3)? 1:0

[0181] Minimum operating voltage of the trip coil:

[0182] Let the minimum operating voltage of the circuit breaker trip coil be U.

[0183] X = U > 71.5? 1:0

[0184] Closing time and three-phase asynchrony time:

[0185] Let the closing time be U. a The three-phase asynchronous time is U b ,but:

[0186] X = 55 ≤ U a ≤65&U b <5? 1:0

[0187] Minimum operating voltage of the closing coil:

[0188] Let the minimum operating voltage of the circuit breaker closing coil be U.

[0189] X = U > 88? 1:0

[0190] Mechanical property evaluation:

[0191] Let U be the opening and closing time of the circuit breaker and the contact distance. If it meets the standard, then U = 1; otherwise, U = 0. Then X = (U = 1)? 1:0

[0192] AC withstand voltage assessment of main circuit

[0193] Let the result of the pressure test be U. If the test result is qualified, then U = 1; otherwise, U = 0.

[0194] X = (U = 1)? 1:0

[0195] Operating structure opening and closing evaluation

[0196] Let U be the result of three opening and closing operations under different voltages. If all three operations are reliable, then U = 1; otherwise, U = 0.

[0197] X = (U = 1)? 1:0

[0198] Disconnect switch evaluation

[0199] Number of times the three-position disconnect switch operates

[0200] The mechanical life U of the operating mechanism of the three-position disconnect switch is then

[0201] X=U≤5000?1:U≥20000?0:14000 <U≤20000?

[0202] (1-(U-9300) / (20000-14000)*0.3):(1-(U-5000) / (14000-5000)*0.1)

[0203] Three-station isolation disconnection times

[0204] Let U be the number of times the disconnector switch is opened and closed, and X be the warning value for the number of times the switch is opened and closed. warn The alarm value for the number of interruptions is X. alarm ,but:

[0205] X=U≤X warn ? 1:U>X alarm ? 0:(1-(UX) warn ) / (X alarm -X warn ))

[0206] Circuit breaker tripping time and three-phase asynchrony time

[0207] Let the tripping time be U. a The three-phase asynchronous time is U b ,but:

[0208] X = 35 ≤ U a ≤45&U b <3? 1:0

[0209] Minimum operating voltage of circuit breaker trip coil

[0210] X = U > 71.5? 1:0

[0211] Circuit breaker closing time and three-phase asynchronous time

[0212] Let the closing time be U. a The three-phase asynchronous time is U b ,but:

[0213] X = 55 ≤ U a ≤65&U b <5? 1:0

[0214] Minimum operating voltage of circuit breaker closing coil

[0215] Let the minimum operating voltage of the circuit breaker closing coil be U.

[0216] X = U > 88? 1:0

[0217] Circuit breaker main circuit AC withstand voltage assessment:

[0218] Let the result of the pressure test be U. If the test result is qualified, then U = 1; otherwise, U = 0.

[0219] X = (U = 1)? 1:0

[0220] Surge arrester evaluation:

[0221] Leakage current:

[0222] Let the leakage current of the surge arrester be U, then:

[0223] X=U≤50? 1:0

[0224] Current transformer evaluation:

[0225] Insulation resistance:

[0226] Let the insulation resistance of the current transformer be U, then

[0227] X=U≥1000?1:0

[0228] Voltage transformer evaluation:

[0229] Insulation resistance:

[0230] Let the insulation resistance of the current transformer be U, then

[0231] X=U≥1000?1:0

[0232] Equipment condition assessment calculation:

[0233] Analysis of the logic for obtaining indicator parameters:

[0234] The equipment condition assessment system is modular and adaptable to different systems and industries. The challenges lie in the establishment of the assessment model and the acquisition of model assessment parameters. The system supports the use of ETL tools to extract heterogeneous indicator parameters from different sources into a specified structured database table as required. It also reads the data of the corresponding fields according to the indicator identifiers configured in the assessment model and uses them as indicator parameter input parameters, thereby achieving independence and loose coupling between the business system and the equipment condition assessment algorithm.

[0235] Analysis of indicator calculation formula:

[0236] The "Equipment and Component Evaluation Indicators" section, using a 35kV incoming line cabinet as an example, details the calculation formulas for each indicator value. The system can obtain the final indicator value through online analysis based on these formulas. The detailed analysis steps are as follows:

[0237] Replace the variable names in the formula with the actual numerical values ​​of the obtained indicator parameters by using indicator name identifiers;

[0238] Replace variable names in formulas with specific parameter values ​​using variable name identifiers;

[0239] The entire formula is treated as a string. The JEXLEngine class in the Java Commons-JEXL package generates a Java expression from the string, and the final index value is obtained by calculating based on the formula logic.

[0240] The relevant code snippet is as follows:

[0241]

[0242]

[0243] Finally, the evaluation result vector is obtained by calculating the hierarchical weights of the indicators.

[0244] P = [O1 O2 O3 O4]

[0245] For the final evaluation results, the indicator status is output solely based on the principle of maximizing membership.

[0246] If O1 is at its maximum, then it is in a normal state;

[0247] If O2 is at its maximum, then it is in a state of attention;

[0248] If O3 is at its maximum, then it is an abnormal state;

[0249] If O4 is at its maximum, it indicates a severe condition.

[0250] The formula for calculating the overall equipment score is as follows:

[0251] G=100×O1+75×O2+50×O3+25×O4

[0252] According to the four-level semantic scaling standard, the membership degree of the index item is represented by four values. For each index item X... i (i = 1, 2, 3 ... n), their membership degree is represented by R. i =[r i1 ,r i2 ,r i3 ,r i4 ], representing the membership degrees of the normalized index in the comment set for the normal state, attention state, abnormal state, and severe state, respectively. The membership function is calculated using a piecewise function:

[0253]

[0254]

[0255]

[0256]

[0257] In this way, for each indicator, its membership degree R can be obtained.i All R i Constructing the fuzzy evaluation matrix R

[0258]

[0259] The system can trigger equipment status assessments daily via scheduled tasks or manually by operations personnel. During the assessment process, the system automatically and persistently stores the assessment process and results information for components, equipment, subsystems, and circuits, and generates an equipment status assessment report. The assessment results are then communicated to operations personnel via system messages. An equipment status assessment report template is shown in Table 4.

[0260] Table 4 Equipment Status Assessment Report Template

[0261]

[0262] Example 2

[0263] This embodiment provides a condition assessment system for urban rail transit power supply equipment, which specifically includes the following modules:

[0264] (1) System partitioning module, which is used to divide the equipment of the urban rail transit power supply system in the equipment status assessment model into four levels from top to bottom: line, subsystem, equipment and components.

[0265] In the system division module, the weights of each level of the equipment in the urban rail transit power supply system are configured according to a preset importance level.

[0266] (2) Evaluation scoring module, which is used to calculate the evaluation score of each line from bottom to top according to the preset component evaluation index, component classification weight, equipment evaluation index, equipment classification weight and subsystem classification weight.

[0267] In the specific implementation process, the evaluation scoring module includes:

[0268] (2.1) Equipment information acquisition submodule, which is used to acquire all equipment types to be evaluated in the urban rail transit power supply system and all equipment to be evaluated for each type;

[0269] (2.2) Index Item Value Calculation Submodule, which is used to obtain the evaluation index and its evaluation parameters and the information of the components involved in the evaluation for each device according to the preset evaluation model, and to parse the evaluation index item value of each device and each component through the index calculation formula.

[0270] (2.3) Dimension vector calculation submodule, which is used to obtain the evaluation result vector of each preset evaluation dimension based on the membership information of each indicator item of the components and equipment, as well as the indicator weight information.

[0271] (2.4) Equipment vector calculation submodule, which is used to obtain the equipment evaluation result vector based on the weights of all components in the equipment, the evaluation result vector, and the corresponding vectors and weights of equipment status quantity, operation and maintenance quantity, test quantity, fault quantity and expert evaluation quantity.

[0272] (2.5) Line evaluation score calculation submodule, which is used to obtain the evaluation score of each line based on the weight of all devices in the subsystem and the corresponding evaluation result vector, combined with the weight of the subsystem.

[0273] (3) Status judgment module, which is used to judge the status of the power supply equipment of each line according to the preset semantic scaling standard and the evaluation score of each line; wherein, the status of the power supply equipment includes normal status, attention status, abnormal status and critical status.

[0274] In the state determination module, the membership function is calculated using a piecewise function in the preset semantic scaling standard.

[0275] It should be noted that each module in this embodiment corresponds one-to-one with each step in Embodiment 1, and their specific implementation processes are the same, so they will not be repeated here.

[0276] Example 3

[0277] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the urban rail transit power supply equipment condition assessment method described above.

[0278] Example 4

[0279] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the urban rail transit power supply equipment status assessment method described above.

[0280] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0281] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for assessing the condition of power supply equipment in urban rail transit, characterized in that, include: The equipment condition assessment model for urban rail transit power supply systems is divided into four levels from top to bottom: lines, subsystems, equipment, and components. The equipment status assessment model is configured with the weights of each level of equipment in the urban rail transit power supply system according to the preset importance level. The importance level refers to classifying subsystems, equipment, and components into three levels, from high to low, based on the degree of impact of the failure and the difficulty of maintenance. The evaluation score of each line is calculated layer by layer from bottom to top based on the preset component evaluation index, component classification weight, equipment evaluation index, equipment classification weight and subsystem classification weight. The process of calculating the evaluation score for each line is as follows: obtain all equipment types to be evaluated in the urban rail transit power supply system and all equipment to be evaluated for each type; Based on the preset evaluation model, the evaluation indicators and their evaluation parameters for each device, as well as the information of the components involved in the evaluation, are obtained. The evaluation indicator values ​​for each device and each component are then analyzed using the indicator calculation formula. Based on the membership information of each indicator item of the components and equipment, as well as the indicator weight information, the evaluation result vector of each preset evaluation dimension is obtained. The preset evaluation dimensions include equipment status, maintenance, testing, failures, and expert evaluation. The evaluation result vector of the equipment is obtained by considering the weights and evaluation result vectors of all components in the equipment, as well as the corresponding vectors and weights of equipment status quantities, maintenance quantities, testing quantities, failure quantities, and expert evaluation quantities. Based on the weights of all devices in the subsystem and their corresponding evaluation result vectors, combined with the weights of the subsystem, the evaluation score of each line is obtained. Based on the preset semantic scaling standard and the evaluation scores of each line, the status of the power supply equipment of each line is determined; the status of the power supply equipment includes normal status, attention status, abnormal status and critical status.

2. The method for assessing the condition of urban rail transit power supply equipment as described in claim 1, characterized in that, In the preset semantic scaling standard, the membership function is calculated using a piecewise function.

3. A condition assessment system for urban rail transit power supply equipment, characterized in that, include: The system partitioning module is used to divide the equipment status assessment model of the urban rail transit power supply system equipment into four levels from top to bottom: line, subsystem, equipment, and components. In the system partitioning module, the weights of each level of the equipment in the urban rail transit power supply system equipment in the equipment status assessment model are configured according to a preset importance level. The importance level is used to classify subsystems, equipment and components into three levels from high to low based on the degree of fault impact and maintenance difficulty. The evaluation scoring module is used to calculate the evaluation score of each line from bottom to top, based on the preset component evaluation indicators, component classification weights, equipment evaluation indicators, equipment classification weights, and subsystem classification weights. The evaluation scoring module includes: The equipment information acquisition submodule is used to acquire all equipment types to be evaluated in the urban rail transit power supply system and all equipment to be evaluated for each type. The indicator value calculation submodule is used to obtain the evaluation indicators, evaluation parameters, and component information of each device according to the preset evaluation model, and to parse the evaluation indicator values ​​of each device and each component through the indicator calculation formula. The dimension vector calculation submodule is used to obtain the evaluation result vector of each preset evaluation dimension based on the membership information of each indicator item of the components and equipment, as well as the indicator weight information. The preset evaluation dimensions include equipment status, maintenance, testing, failures, and expert evaluation. The equipment vector calculation submodule is used to obtain the equipment evaluation result vector based on the weights and evaluation result vectors of all components in the equipment, as well as the corresponding vectors and weights of equipment status quantities, maintenance quantities, test quantities, fault quantities, and expert evaluation quantities. The line evaluation score calculation submodule is used to obtain the evaluation score of each line based on the weights of all devices in the subsystem and the corresponding evaluation result vectors, combined with the weights of the subsystem; the status judgment module is used to judge the status of the power supply equipment of each line according to the preset semantic scaling standard and the evaluation score of each line; the status of the power supply equipment includes normal status, attention status, abnormal status and critical status.

4. The urban rail transit power supply equipment condition assessment system as described in claim 3, characterized in that, In the state determination module, the membership function is calculated using a piecewise function in the preset semantic scaling standard.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the urban rail transit power supply equipment condition assessment method as described in any one of claims 1-2.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the urban rail transit power supply equipment condition assessment method as described in any one of claims 1-2.

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