Multi-parameter coupling and non-electrical aging dominated equipment state defining system and method

Abstract

The invention discloses a multi-parameter coupling and non-electric aging dominant equipment state defining system and method, and relates to the technical field of electric power operation and maintenance, and the defining system is composed of a multi-dimensional aging characteristic parameter acquisition unit, a simulation test calculation analysis unit, a comprehensive evaluation unit and an aging dominant type defining unit. The multi-dimensional aging characteristic parameter acquisition unit is used for acquiring and storing physical parameters of thermal, electrical, mechanical and environmental aging dimensions of equipment; the simulation test calculation and analysis unit is used for acquiring degradation parameters of an equipment material level by utilizing multi-physics field coupling simulation and accelerated aging test; and the aging dominant type defining unit is used for generating an equipment state label according to the received equipment aging state level. According to the multi-parameter coupling and non-electric aging dominant equipment state defining system and method, multi-dimensional characteristic parameters are fused, the aging dominant degree is scientifically quantified, and important technical support is provided for risk prevention and control and service life extension strategy formulation of open old equipment.

Description

Technical Field

[0001] This invention relates to the field of power operation and maintenance technology, specifically to a system and method for defining equipment status based on multi-parameter coupling and non-electrical aging. Background Technology

[0002] With the accelerated construction of new power systems and the continuous growth of grid load, open-type substation equipment, as a key node in the transmission and distribution network, undertakes the core functions of power collection, distribution, and transmission. Its safe and stable operation is directly related to the reliability of regional power grid supply and the order of social production and life. Outdoor aging disconnect switches, including insulators, busbar fittings, and conductive parts that have been in operation for over 15 years, are subject to long-term exposure to the atmosphere. The combined effects of heat, mechanical stress, and pollution corrosion lead to gradual deterioration of material properties, with non-electrical aging becoming the key mechanism dominating their remaining lifespan. However, current grid operation and maintenance identification of equipment dominated by non-electrical aging still relies on experience-based judgment or comparison of single parameter thresholds, lacking scientific and quantitative definition criteria. This results in lagging operation and maintenance strategy formulation, inefficient resource allocation, and seriously affects the level of full life-cycle management of grid assets. Therefore, it is urgent to study methods for defining equipment dominated by non-electrical aging.

[0003] Existing assessment methods for the aging of open-type equipment mostly focus on electrical performance parameters such as leakage current and partial discharge monitoring. They lack systematic characterization methods for non-electrical factors such as material structural degradation caused by thermal cycling, fatigue of connecting components caused by mechanical vibration, and surface performance degradation caused by environmental pollution accumulation. Although some studies have attempted to introduce parameters such as temperature and humidity, and salt density / ash density, a multi-dimensional indicator system has not been formed, and there are strong couplings and fuzzy correlations between the indicators, making it difficult to determine the dominant aging mechanism through simple weighting or threshold comparison.

[0004] Existing methods for assessing the aging status of open-type aging substations largely rely on single electrical parameters or expert qualitative judgments, making it difficult to scientifically distinguish between "electrically aging-dominated" and "non-electrically aging-dominated" states. While some research teams have proposed concepts such as the contribution of non-electrical aging to quantify the impact of non-electrical factors, they lack quantifiable physical indicators. Other patents propose revealing the contribution of non-electrical factors to insulation performance degradation through molecular dynamics simulations or accelerated aging tests, but these suffer from high computational costs, lengthy processing times, and limited simulation factors. In the work of field maintenance personnel, equipment condition assessment still largely relies on subjective judgments based on expert experience, leading to reduced reliability of aging type identification results and failing to provide a reliable basis for field maintenance.

[0005] In addition, existing monitoring methods are mostly operating in isolation. Infrared thermometry only captures surface temperature field characteristics, vibration analysis focuses on loose mechanical parts, and contamination measurement is limited to the condition of the external insulation surface. Data interaction and integration between systems are difficult, and there is a lack of a unified weight allocation mechanism.

[0006] In summary, a key indicator system for non-electrical aging characteristics covering the three dimensions of thermal, mechanical, and environmental factors has not yet been established for open-type aging equipment. Existing assessment methods mostly rely on comparing thresholds of single indicators, resulting in weak correlation with the actual deterioration patterns of the equipment. Therefore, it is necessary to further improve and integrate these methods to effectively assess the aging condition of electrical equipment.

[0007] Therefore, there is an urgent need to propose a definition system and method that integrates multi-dimensional characteristic parameters and scientifically quantifies the degree of aging dominance, so as to provide important technical support for risk prevention and life extension strategies for open-type aging equipment. Summary of the Invention

[0008] The purpose of this invention is to overcome the shortcomings of the prior art and provide a system and method for defining the equipment status based on multi-parameter coupling and non-electrical aging. By constructing a multi-dimensional indicator system and effectively defining the equipment status, it solves the limitations of traditional methods in evaluating single parameters and realizes the scientific quantitative determination of the degree of non-electrical aging dominance. This provides important support for the accurate status assessment, risk prevention and control and life extension strategy formulation of open-type old equipment, and improves the intelligent level of power grid operation and maintenance and the efficiency of resource allocation.

[0009] The technical solution to achieve the above objectives is: a multi-parameter coupled and non-electrical aging-dominated equipment condition assessment system for assessing the aging condition of open-type aging equipment. The assessment system consists of the following units:

[0010] The multi-dimensional aging characteristic parameter acquisition unit is used to collect and store physical parameters of the equipment's thermal, electrical, mechanical, and environmental aging dimensions; and send each physical parameter to the comprehensive evaluation unit.

[0011] The simulation test calculation and analysis unit is used to obtain the degradation parameters of the equipment material level by using multi-physics field coupling simulation and accelerated aging test, and send the degradation parameters of the equipment material level to the comprehensive evaluation unit.

[0012] The comprehensive evaluation unit is used to comprehensively evaluate the received physical parameters and equipment material level degradation parameters, calculate the aging dominance score, distinguish aging types, and output the equipment aging status level to the aging dominance type definition unit.

[0013] The aging-dominant type definition unit is used to generate equipment status labels based on the received equipment aging status level.

[0014] The aforementioned multi-parameter coupled and non-electrical aging-dominated equipment condition definition system, wherein the multi-dimensional aging characteristic parameter acquisition unit integrates infrared thermal imaging technology, UAV clusters, multiple types of sensors, portable mobile detection devices and cameras to simultaneously acquire physical parameters of equipment thermal aging, electrical aging, mechanical aging and environmental aging dimensions.

[0015] The aforementioned equipment condition definition system based on multi-parameter coupling and non-electrical aging is characterized by a multi-dimensional aging feature parameter acquisition unit that constructs a feature parameter acquisition system encompassing thermal, electrical, mechanical, and environmental dimensions.

[0016] The aforementioned multi-parameter coupling and non-electrical aging-dominated equipment condition definition system, wherein the thermal aging dimension focuses on conductive connection parts, including main contacts, stationary contacts and busbar connection nodes, and collects thermal stress characteristic parameters such as surface temperature rise distribution and temperature difference gradient through infrared temperature sensors and infrared thermal imagers.

[0017] The electrical aging dimension covers the main conductive circuit, focusing on the line from the input / output terminals to the contact surface. An online circuit resistance monitoring module is used to extract electrical degradation parameters such as circuit resistance, contact resistance, and impedance changes, as well as the current carrying capacity measured by sensors.

[0018] The mechanical aging dimension targets the core components of the operating mechanism, focusing on the main drive shaft and the operating mechanism box, integrating an absolute angle encoder and a vibration sensor to acquire mechanical state parameters such as the opening and closing angle deviation, vibration spectrum characteristics, and bolt loosening.

[0019] The environmental aging dimension monitors the surface and surrounding environment of the insulator, focusing on the underside of the sheds of the post insulator and the atmospheric environment around the equipment. It uses conductivity probes and temperature / humidity / ultraviolet sensors to collect environmental degradation-related parameters such as surface conductivity, ambient temperature and humidity, and ultraviolet radiation intensity.

[0020] The aforementioned equipment condition definition system based on multi-parameter coupling and non-electrical aging involves, for the degradation parameters at the equipment material level, the simulation test calculation and analysis unit utilizes multi-physics field coupling simulation and accelerated aging tests to reproduce the aging process under real working conditions and obtain degradation parameters that are consistent with reality.

[0021] The aforementioned equipment condition definition system based on multi-parameter coupling and non-electrical aging includes a multi-physics coupling simulation model. This model focuses on simulating Joule heat accumulation, instantaneous high-temperature impact of opening and closing arcs, dynamic evolution of contact pressure caused by high-temperature softening, and mechanical stress distribution induced by thermal expansion and contraction under high current conditions. It also quantifies the correlation mechanism between microstructural degradation and macroscopic performance degradation of materials.

[0022] The aforementioned equipment condition definition system based on multi-parameter coupling and non-electro-aging dominance includes a physical test layer where a salt spray corrosion test chamber replicates typical atmospheric environments such as coastal salt spray and heavy industrial pollution. This allows for the study of the coupled degradation process of electrochemical corrosion and stress corrosion of accelerated metal components, obtaining key degradation parameters such as corrosion rate and crack propagation rate. By comparing and calibrating data from the simulation layer and the physical test layer, the system reveals the interaction mechanism of multiple physical fields at the equipment material level, providing data support and supplementary parameter inputs for subsequent aging dominance definition.

[0023] The aforementioned equipment condition assessment system based on multi-parameter coupling and non-electrical aging is characterized by the following steps: First, the equipment comprehensive evaluation unit constructs a judgment matrix based on the analytic hierarchy process (AHP) to determine the weight coefficients of thermal, electrical, mechanical, and environmental dimensions. Second, it proposes a reasonable score range using fuzzy comprehensive evaluation theory. Finally, it combines threshold setting rules to clearly distinguish aging types, output the equipment aging condition level, and provide a decision-making basis for defining the degree of aging dominance.

[0024] The above-mentioned multi-parameter coupling and non-electric aging-dominated equipment status definition system, wherein the aging-dominated type definition unit, based on the results of the comprehensive evaluation unit, first calculates the non-electric aging score and the electrical aging score respectively, then defines the non-electric aging dominance index, and finally generates equipment status labels by setting definition rules according to the non-electric aging dominance index. The equipment status labels include non-electric aging-dominated equipment, mixed aging equipment, and electrical aging-dominated equipment.

[0025] Another technical solution to achieve the above objective is: a multi-parameter coupling and non-electrical aging-dominated equipment condition determination method, which uses the above-mentioned determination system to determine the equipment aging condition, specifically including the following steps:

[0026] S1, Multi-dimensional Aging Feature Parameter Acquisition Steps: The multi-dimensional aging feature parameter acquisition unit integrates infrared thermal imaging technology, drone clusters, multiple types of sensors, portable mobile detection equipment, and cameras to simultaneously acquire physical parameters of the equipment in the dimensions of thermal aging, electrical aging, mechanical aging, and environmental aging; and sends each physical parameter to the comprehensive evaluation unit.

[0027] S2, Simulation test calculation and analysis steps: The simulation test calculation and analysis unit uses multiphysics field coupling simulation and accelerated aging test to obtain the degradation parameters of the equipment material level, and sends the equipment degradation parameters to the comprehensive evaluation unit;

[0028] S3, Comprehensive Evaluation Steps: The comprehensive evaluation unit firstly, based on the previously established multi-dimensional key indicator system covering thermal, electrical, mechanical, and environmental aspects, uses the analytic hierarchy process (AHP) to determine the weight coefficients for thermal aging, electrical aging, mechanical aging, and environmental aging dimensions, forming a standardized indicator weight vector. Secondly, a five-level evaluation set V = {healthy, good, caution, abnormal, dangerous} is established. For the measured and simulated parameters of each indicator level, a triangular membership function is preset to map the parameter values ​​to the membership degrees of each level of the evaluation set, forming a fuzzy relation matrix R. Finally, the comprehensive evaluation vector B = ω·R is calculated through the fuzzy comprehensive evaluation model, where ω is the weight vector and R is the fuzzy relation matrix, outputting the equipment aging status level and providing a decision-making basis for defining the aging dominance.

[0029] S3, Steps for Defining the Dominant Aging Type: The dominant aging type definition unit first extracts scores for thermal aging, mechanical aging, and environmental aging dimensions from the comprehensive evaluation results of the comprehensive evaluation unit, and merges them into a total non-electrical aging score S. non-electric Simultaneously extract the electrical performance aging dimension score S electric This forms a two-dimensional scoring system;

[0030] Secondly, the Non-Electro-Aging Dominance Index (NDI) is defined as follows:

[0031]

[0032] Finally, based on the Non-Electrical Aging Dominance Index (NDI) value, the equipment status label is generated according to the definition rules. When NDI > 0.7, it is marked as "Non-Electrical Aging Dominance Equipment"; when 0.3 ≤ NDI ≤ 0.7, it is marked as "Mixed Aging Equipment"; and when NDI < 0.3, it is marked as "Electrical Aging Dominance Equipment".

[0033] The multi-parameter coupling and non-electrical aging-dominated equipment condition determination system and method of the present invention have the following beneficial effects:

[0034] (1) Construct a key indicator system covering thermal, mechanical and environmental aging characteristics to achieve multi-dimensional quantitative characterization of the non-electrical aging state of open-type old equipment.

[0035] (2) A hierarchical systematic approach was adopted to establish a key evaluation parameter index system for outdoor open-type substations to judge their operational level and performance.

[0036] (3) Clear standards for defining electrical aging and non-electrical aging were proposed, and the scientific quantitative determination of the dominance of non-electrical aging was realized. This provided important support for the accurate condition assessment, risk prevention and control and life extension strategy formulation of open-type old equipment, and improved the intelligent level of power grid operation and maintenance and the efficiency of resource allocation. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the framework of the device state definition system dominated by multi-parameter coupling and non-electrical aging according to the present invention.

[0038] Figure 2 This is a schematic diagram of the multi-dimensional key indicator system for outdoor high-voltage disconnect switches. Detailed Implementation

[0039] To enable those skilled in the art to better understand the technical solution of the present invention, its specific embodiments are described in detail below with reference to the accompanying drawings:

[0040] Please see Figure 1 and Figure 2 According to an embodiment of the present invention, a multi-parameter coupled and non-electrical aging-dominated equipment state definition system is used to define the aging state of open-type old equipment. The system consists of a multi-dimensional aging characteristic parameter acquisition unit 1, a simulation test calculation and analysis unit 2, a comprehensive evaluation unit 3, and an aging-dominated type definition unit 4.

[0041] The multi-dimensional aging characteristic parameter acquisition unit 1 integrates infrared thermal imaging technology, drone clusters, multiple types of sensors, portable mobile detection equipment and cameras to simultaneously collect physical parameters of equipment in the dimensions of thermal aging, electrical aging, mechanical aging and environmental aging. It also ensures the reliability of the equipment for long-term outdoor operation by means of moisture-proof sealing and anti-electromagnetic interference design. The unit then sends the physical parameters to the comprehensive evaluation unit 3.

[0042] The simulation test calculation and analysis unit 2 uses multi-physics field coupling simulation and accelerated aging test to reproduce the aging process under real working conditions for characteristic parameters that are difficult to obtain by conventional acquisition methods, such as the degradation parameters of the microstructure of equipment materials. The simulation test calculation and analysis unit 2 obtains degradation parameters of equipment materials that are more in line with reality and sends the degradation parameters of equipment materials to the comprehensive evaluation unit 3.

[0043] The comprehensive evaluation unit 3 is used to comprehensively evaluate the received physical parameters and equipment material degradation parameters, calculate the aging dominance score, distinguish aging types, and output the equipment aging status level to the aging dominance type definition unit 4. The comprehensive evaluation unit 3 first constructs a judgment matrix based on the analytic hierarchy process to determine the weight coefficients of thermal, electrical, mechanical, and environmental dimensions; secondly, it proposes a reasonable score range using fuzzy comprehensive evaluation theory; and finally, it combines threshold setting rules to achieve a clear distinction of aging types.

[0044] The aging-dominant type definition unit 4 is used to generate equipment status labels based on the received equipment aging status level. The equipment status labels include non-electric aging-dominant equipment, mixed aging equipment, and electric aging-dominant equipment.

[0045] This invention presents a multi-parameter coupling and non-electrical aging-dominant definition method for open-type aging equipment. It employs a hierarchical collaborative architecture to accurately evaluate the non-electrical aging process of the equipment, solving the problems of data fragmentation and ambiguous definitions in traditional methods, and achieving a scientific quantitative determination of aging dominance. This enables effective assessment of the health status of open-type aging equipment and provides differentiated operation and maintenance decision support.

[0046] For example, in this embodiment, the multi-dimensional aging feature parameter acquisition unit 1 constructs a feature parameter acquisition system for the core components and key aging parts of the outdoor high-voltage disconnect switch in a hierarchical manner, covering thermal, electrical, mechanical, and environmental aging dimensions. The thermal aging dimension focuses on conductive connection parts, including main contacts, stationary contacts, and busbar connection nodes. It uses infrared temperature sensors and infrared thermal imagers to collect thermal stress parameters such as surface temperature rise distribution and temperature gradient. The electrical aging dimension covers the main conductive circuit, focusing on the area from the inlet / outlet terminals to the contact surface. It uses an online circuit resistance monitoring module to extract electrical degradation parameters such as circuit resistance, contact resistance, and impedance changes, as well as measuring the current carrying capacity through sensors. The mechanical aging dimension targets core components of the operating mechanism, including the main drive shaft and operating mechanism housing. It integrates absolute angle encoders and vibration sensors to acquire mechanical condition parameters such as opening / closing angle deviation, vibration spectrum characteristics, and bolt loosening. The environmental aging dimension monitors the insulator surface and surrounding environment, focusing on the underside of the post insulator skirts and the surrounding atmospheric environment. It uses conductivity probes and temperature / humidity / UV sensors to collect environmental degradation parameters such as surface conductivity, ambient temperature and humidity, and UV radiation intensity. Figure 2 The diagram shown is a multi-dimensional key indicator system for outdoor high-voltage disconnect switches.

[0047] The simulation and analysis unit employs a dual-track approach of "multi-physics simulation modeling + accelerated physical testing" to systematically acquire aging evolution data at the material level of disconnecting switches. At the simulation level, based on a coupled multi-physics simulation model of electro-thermal-mechanical-environment, it focuses on simulating Joule heat accumulation in the contact system under high-current conditions, the instantaneous high-temperature impact of the opening and closing arc, the dynamic evolution of contact pressure caused by high-temperature softening, and the distribution law of mechanical stress induced by thermal expansion and contraction, quantifying the correlation mechanism between microstructural degradation and macroscopic performance deterioration. In terms of physical testing, a salt spray corrosion test chamber is used to reproduce typical atmospheric environments such as coastal salt spray and heavy industrial pollution, studying the coupled degradation process of accelerated electrochemical corrosion and stress corrosion of metal components, and obtaining key degradation parameters such as corrosion rate and crack propagation rate. Through comparison and calibration of simulation and experimental data, the interaction mechanism of multi-physics fields at the material level is revealed, providing data support and parameter supplementary input for subsequent determination of the dominance of aging.

[0048] The comprehensive evaluation unit is a crucial step in realizing the quantitative assessment of equipment status from multi-dimensional data. First, based on the multi-dimensional key indicator system for outdoor high-voltage disconnect switches, a layer of indicators for quantifying the aging degree of the equipment is clearly defined, and weights are assigned to each indicator. Second, scoring criteria (healthy, good, caution, abnormal, dangerous) are established. The measured or simulated values ​​of each parameter in the indicator layer are transformed into membership degrees for each level in the evaluation criteria through a pre-defined membership function. For example, the lower the contact resistance value, the higher its membership degree to "healthy"; conversely, the higher the contact resistance value, the higher its membership degree to "dangerous". Finally, the evaluation result is obtained through fuzzy matrix operations; the result equals the weight vector multiplied by the indicator score.

[0049] The comprehensive evaluation unit is a crucial step in achieving a scientific and quantitative assessment of the aging state of disconnect switches based on multi-dimensional data. First, based on the previously established multi-dimensional key indicator system covering thermal, mechanical, and environmental aspects, the weight coefficients for electrical aging, thermal aging, mechanical aging, and environmental aging are determined using the analytic hierarchy process (AHP), forming a standardized indicator weight vector. Second, a five-level evaluation set V = {Healthy, Good, Caution, Abnormal, Dangerous} is established. For the measured and simulated parameters of each indicator level, a triangular membership function is preset to map the parameter values ​​to the membership degrees of each level in the evaluation set, forming a fuzzy relation matrix R. Finally, the comprehensive evaluation vector B = ω·R (ω is the weight vector, R is the fuzzy relation matrix) is calculated using a fuzzy comprehensive evaluation model, outputting the equipment aging state level and providing a decision-making basis for defining the dominance of aging.

[0050] The aging-dominant type definition unit calculates non-electrical aging scores and electrical aging scores based on the results of the comprehensive evaluation unit. First, scores for thermal aging, mechanical aging, and environmental aging dimensions are extracted from the comprehensive evaluation results and combined into a total non-electrical aging score S. non-electric Simultaneously extract the electrical performance aging dimension score S electric This forms a two-dimensional scoring system. Secondly, the Non-electric Dominance Index (NDI) is defined as...

[0051]

[0052] Finally, based on the NDI value setting definition rules, when NDI > 0.7, it is marked as "non-electrical aging-dominant equipment"; when 0.3 ≤ NDI ≤ 0.7, it is marked as "mixed aging equipment"; and when NDI < 0.3, it is marked as "electrical aging-dominant equipment". This method, through the organic combination of the above units, can provide a scientific basis and data support for the condition assessment, risk identification, and operation and maintenance decisions of open-type aging equipment, effectively improving the intelligent level of power grid operation and maintenance.

[0053] Another embodiment of the present invention provides a method for defining the aging state of equipment using multi-parameter coupling and non-electrical aging-dominated methods. This method employs the aforementioned definition system to define the aging state of the equipment and specifically includes the following steps:

[0054] S1, Multi-dimensional aging characteristic parameter acquisition steps: The multi-dimensional aging characteristic parameter acquisition unit 1 integrates infrared thermal imaging technology, drone clusters, multiple types of sensors, portable mobile detection equipment and cameras to simultaneously acquire physical parameters of the equipment in the dimensions of thermal aging, electrical aging, mechanical aging and environmental aging; and sends each physical parameter to the comprehensive evaluation unit 3;

[0055] S2, Simulation test calculation and analysis steps: Simulation test calculation and analysis unit 2 uses multi-physics field coupling simulation and accelerated aging test to obtain the degradation parameters of equipment materials, and sends the equipment degradation parameters to comprehensive evaluation unit 3;

[0056] S3, Comprehensive Evaluation Steps: In Comprehensive Evaluation Unit 3, firstly, based on the previously established multi-dimensional key indicator system covering thermal, electrical, mechanical, and environmental aspects, the weight coefficients of thermal aging, electrical aging, mechanical aging, and environmental aging dimensions are determined using the analytic hierarchy process (AHP), forming a standardized indicator weight vector. Secondly, a five-level evaluation set V = {healthy, good, caution, abnormal, dangerous} is established. For the measured and simulated parameters of each indicator level, a triangular membership function is preset to map the parameter values ​​to the membership degrees of each level of the evaluation set, forming a fuzzy relation matrix R. Finally, the comprehensive evaluation vector B = ω·R is calculated using the fuzzy comprehensive evaluation model, where ω is the weight vector and R is the fuzzy relation matrix, outputting the equipment aging status level and providing a decision-making basis for defining the aging dominance.

[0057] S3, Steps for Defining the Dominant Aging Type: Unit 4 for defining the dominant aging type, firstly, extract the scores for thermal aging, mechanical aging, and environmental aging dimensions from the comprehensive evaluation results of the comprehensive evaluation unit, and merge them into the total non-electrical aging score S. non-electric Simultaneously extract the electrical performance aging dimension score S electric This forms a two-dimensional scoring system;

[0058] Secondly, the Non-Electro-Aging Dominance Index (NDI) is defined as follows:

[0059]

[0060] Finally, based on the Non-Electrical Aging Dominance Index (NDI) value, the equipment status label is generated according to the definition rules. When NDI > 0.7, it is marked as "Non-Electrical Aging Dominance Equipment"; when 0.3 ≤ NDI ≤ 0.7, it is marked as "Mixed Aging Equipment"; and when NDI < 0.3, it is marked as "Electrical Aging Dominance Equipment".

[0061] The multi-parameter coupling and non-electric aging-dominated equipment state definition system and method of the present invention, during processing...

[0062] In summary, the multi-parameter coupling and non-electrical aging-dominated equipment condition definition system and method of the present invention, through the systematic construction of a multi-dimensional indicator system and the effective definition of equipment condition, solves the limitations of traditional single-parameter evaluation methods, realizes the scientific quantitative determination of non-electrical aging dominance, provides important support for accurate condition assessment, risk prevention and control and life extension strategy formulation of open aging equipment, and improves the intelligent level of power grid operation and maintenance and resource allocation efficiency.

[0063] Those skilled in the art should recognize that the above embodiments are merely illustrative of the present invention and are not intended to limit the present invention. Any variations or modifications to the above embodiments that are within the spirit and essence of the present invention will fall within the scope of the claims of the present invention.

Claims

1. A multi-parameter coupled and non-electrical aging-dominated equipment condition assessment system for assessing the aging condition of open-type aging equipment, characterized in that, The defining system consists of the following units: The multi-dimensional aging characteristic parameter acquisition unit is used to collect and store physical parameters of the equipment's thermal, electrical, mechanical, and environmental aging dimensions; and send each physical parameter to the comprehensive evaluation unit. The simulation test calculation and analysis unit is used to obtain the degradation parameters of the equipment material level by using multi-physics field coupling simulation and accelerated aging test, and send the degradation parameters of the equipment material level to the comprehensive evaluation unit. The comprehensive evaluation unit is used to comprehensively evaluate the received physical parameters and equipment material level degradation parameters, calculate the aging dominance score, distinguish aging types, and output the equipment aging status level to the aging dominance type definition unit. The aging-dominant type definition unit is used to generate equipment status labels based on the received equipment aging status level.

2. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 1, characterized in that, The multi-dimensional aging characteristic parameter acquisition unit integrates infrared thermal imaging technology, drone clusters, multiple types of sensors, portable mobile detection equipment, and cameras to simultaneously acquire physical parameters of the equipment in the dimensions of thermal aging, electrical aging, mechanical aging, and environmental aging.

3. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 2, characterized in that, The multi-dimensional aging feature parameter acquisition unit constructs a feature parameter acquisition system covering thermal, electrical, mechanical, and environmental dimensions.

4. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 3, characterized in that, The thermal aging dimension focuses on conductive connection parts, including main contacts, stationary contacts and busbar connection nodes. Thermal stress characteristic parameters such as surface temperature rise distribution and temperature difference gradient are collected by infrared temperature sensors and infrared thermal imagers. The electrical aging dimension covers the main conductive circuit, focusing on the line from the input / output terminals to the contact surface. An online circuit resistance monitoring module is used to extract electrical degradation parameters such as circuit resistance, contact resistance, and impedance changes, as well as the current carrying capacity measured by sensors. The mechanical aging dimension targets the core components of the operating mechanism, focusing on the main drive shaft and the operating mechanism box, integrating an absolute angle encoder and a vibration sensor to acquire mechanical state parameters such as the opening and closing angle deviation, vibration spectrum characteristics, and bolt loosening. The environmental aging dimension monitors the surface and surrounding environment of the insulator, focusing on the underside of the sheds of the post insulator and the atmospheric environment around the equipment. It uses conductivity probes and temperature / humidity / ultraviolet sensors to collect environmental degradation-related parameters such as surface conductivity, ambient temperature and humidity, and ultraviolet radiation intensity.

5. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 1, characterized in that, For degradation parameters at the material level of equipment, the simulation test calculation and analysis unit uses multiphysics field coupling simulation and accelerated aging test to reproduce the aging process under real working conditions and obtain degradation parameters that are consistent with reality.

6. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 1, characterized in that, At the simulation level of multiphysics coupling simulation, based on the electro-thermal-mechanical-environment multiphysics coupling simulation model, the focus is on simulating the Joule heat accumulation of the contact system under high current conditions, the instantaneous high temperature impact of the opening and closing arc, the dynamic evolution of contact pressure caused by high temperature softening, and the distribution law of mechanical stress induced by thermal expansion and contraction effect, and quantifying the correlation mechanism between the deterioration of material microstructure and the degradation of macroscopic performance.

7. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 6, characterized in that, At the physical testing level of the accelerated physical testing, the typical atmospheric environment of coastal salt spray and heavy industrial pollution is reproduced through a salt spray corrosion test chamber to study the coupled degradation process of electrochemical corrosion and stress corrosion of accelerated metal components, and to obtain key degradation parameters such as corrosion rate and crack propagation rate. By comparing and calibrating the data at the simulation level and the physical testing level, the interaction mechanism of multi-physics fields at the material level of the equipment is revealed, providing data support and parameter supplementary input for the subsequent determination of the dominance of aging.

8. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 1, characterized in that, The comprehensive equipment evaluation unit first constructs a judgment matrix based on the analytic hierarchy process (AHP) to determine the weight coefficients of thermal, electrical, mechanical, and environmental dimensions. Second, it proposes a reasonable score range using fuzzy comprehensive evaluation theory. Finally, it combines threshold setting rules to clearly distinguish aging types, output the equipment aging status level, and provide a decision-making basis for defining the degree of aging dominance.

9. The equipment state determination system based on multi-parameter coupling and non-electrical aging as described in claim 8, characterized in that, Based on the results of the comprehensive evaluation unit, the aging-dominant type definition unit first calculates the non-electrical aging score and the electrical aging score respectively, then defines the non-electrical aging dominance index, and finally generates equipment status labels based on the definition rules set according to the non-electrical aging dominance index. The equipment status labels include non-electrical aging dominant equipment, mixed aging equipment, and electrical aging dominant equipment.

10. A method for defining the state of equipment based on multi-parameter coupling and non-electrical aging, characterized in that, The process of defining the aging status of equipment using the system described in any one of claims 1 to 9 specifically includes the following steps: S1, Multi-dimensional Aging Feature Parameter Acquisition Steps: The multi-dimensional aging feature parameter acquisition unit integrates infrared thermal imaging technology, drone clusters, multiple types of sensors, portable mobile detection equipment, and cameras to simultaneously acquire physical parameters of the equipment in the dimensions of thermal aging, electrical aging, mechanical aging, and environmental aging; and sends each physical parameter to the comprehensive evaluation unit. S2, Simulation test calculation and analysis steps: The simulation test calculation and analysis unit uses multiphysics field coupling simulation and accelerated aging test to obtain the degradation parameters of the equipment material level, and sends the equipment degradation parameters to the comprehensive evaluation unit; S3, Comprehensive Evaluation Steps: The comprehensive evaluation unit firstly, based on the previously established multi-dimensional key indicator system covering thermal, electrical, mechanical, and environmental aspects, uses the analytic hierarchy process (AHP) to determine the weight coefficients for thermal aging, electrical aging, mechanical aging, and environmental aging dimensions, forming a standardized indicator weight vector. Secondly, a five-level evaluation set V = {healthy, good, caution, abnormal, dangerous} is established. For the measured and simulated parameters of each indicator level, a triangular membership function is preset to map the parameter values ​​to the membership degrees of each level of the evaluation set, forming a fuzzy relation matrix R. Finally, the comprehensive evaluation vector B = ω·R is calculated through the fuzzy comprehensive evaluation model, where ω is the weight vector and R is the fuzzy relation matrix, outputting the equipment aging status level and providing a decision-making basis for defining the aging dominance. S3, Steps for Defining the Dominant Aging Type: The dominant aging type definition unit first extracts scores for thermal aging, mechanical aging, and environmental aging dimensions from the comprehensive evaluation results of the comprehensive evaluation unit, and merges them into a total non-electrical aging score S. non-electric Simultaneously extract the electrical performance aging dimension score S electric This forms a two-dimensional scoring system; Secondly, the Non-Electro-Aging Dominance Index (NDI) is defined as follows: Finally, based on the Non-Electrical Aging Dominance Index (NDI) value, the equipment status label is generated according to the definition rules. When NDI > 0.7, it is marked as "Non-Electrical Aging Dominance Equipment"; when 0.3 ≤ NDI ≤ 0.7, it is marked as "Mixed Aging Equipment"; and when NDI < 0.3, it is marked as "Electrical Aging Dominance Equipment".

Images