Cable health state assessment method and system

By constructing a cable health status evaluation method, pre-setting multi-level evaluation indicators and data processing, the problem of inaccurate evaluation of cable health status is solved, realizing real-time dynamic monitoring and visual analysis of cables, and improving the safety and reliability of cables.

WO2025241630A1PCT designated stage Publication Date: 2025-11-27ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD

Patent Information

Application Number
PCT/CN2025/078714
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-05-21
Filing Date
2025-02-24
Publication Date
2025-11-27

AI Technical Summary

Technical Problem

Existing technologies cannot comprehensively and accurately evaluate the health status of cables, leading to difficulties in fault detection, complex maintenance, and impacting the safety and reliability of power systems.

Method used

A cable health status evaluation method is adopted. By pre-setting evaluation indicators, including primary and secondary indicators, parameterized data is obtained and preprocessed to construct a comprehensive evaluation matrix. The health status of the cable is determined by combining weights and a comprehensive evaluation index.

Benefits of technology

It enables a comprehensive and accurate evaluation of cable health status, timely detection of potential problems, improvement of cable safety and reliability, and provides dynamic monitoring and visualization analysis capabilities.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN2025078714_27112025_PF_FP_ABST
    Figure CN2025078714_27112025_PF_FP_ABST
Patent Text Reader

Abstract

A cable health state assessment method and system. The method comprises: presetting assessment indicators for assessing the health state of a target cable, the assessment indicators comprising first-level indicators and second-level indicators, and the first-level indicators comprising an online monitoring indicator, a laying environment indicator, an offline test indicator, an apparatus information indicator and a daily inspection information indicator; acquiring parameterized data of the assessment indicators of the target cable, and preprocessing the parameterized data; on the basis of a preprocessing result, taking into account a first preset weight acquisation logic, so as to construct a comprehensive assessment matrix; and, on the basis of the comprehensive assessment matrix and actual parameter data of the target cable, taking into account a second comprehensive assessment indicator calculation logic, so as to determine the health state of the target cable. The cable health state assessment method and system consider assessment indicators in multiple aspects, and can accurately reflect health states of target cables by means of reasonable weight allocation and data processing modes.
Need to check novelty before this filing date? Find Prior Art

Description

Cable health state evaluation method and system TECHNICAL FIELD

[0001] The present application relates to the technical field of cable health state evaluation, and in particular to a cable health state evaluation method and system. BACKGROUND

[0002] In recent years, with the continuous development of smart grid, the safety, economy and reliability of the power grid are increasingly high, and the normal operation of power equipment is the guarantee of the safe and stable operation of the power system. Therefore, in the development of smart grid, the state evaluation and fault diagnosis of electrical equipment are essential. In the urban power supply system, power cables have become the main equipment for power transmission. However, with the widespread use of cables, the number of trips and power outages caused by cable faults is also increasing. The cable is generally laid underground and in the cable well, and the working environment is relatively poor compared with other equipment. The fault is not easy to be found, and the exclusion and maintenance are difficult, and the cable partial discharge also greatly shortens the service life. These existing problems often lead to serious consequences. At present, the maintenance of most power cables still needs traditional manual detection. For power cables equipped with cable temperature, partial discharge current and other monitoring systems, real-time parameters of the cable operation can be obtained through the monitoring system. However, these data can only reflect the specific aspects of the cable, and the evaluation of its comprehensive state and degradation trend is more important for formulating cable maintenance strategies. SUMMARY

[0003] This section is intended to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, the abstract and the title, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0004] In view of the above existing problems, the present application is proposed.

[0005] Therefore, the present application provides a cable health state evaluation method and system, which can solve the problems mentioned in the background art.

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] In a first aspect, the present application provides a cable health state evaluation method, comprising:

[0008] preset evaluation indexes for evaluating the health state of the target cable, the evaluation indexes including first-level indexes and second-level indexes, the first-level indexes including online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes and daily inspection information indexes;

[0009] obtaining parameterization data of evaluation indexes in the target cable, and preprocessing the parameter data;

[0010] constructing a comprehensive evaluation matrix according to the preprocessing result and a first preset weight acquisition logic;

[0011] determining the health state of the target cable according to the comprehensive evaluation matrix and actual parameter data of the target cable and a second comprehensive evaluation index calculation logic.

[0012] As a preferred scheme of the cable health state evaluation method, the preset evaluation target cable health state evaluation indexes include first-level indexes and second-level indexes, and the first-level indexes include online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes.

[0013] The online monitoring indexes correspond to second-level indexes including a dielectric loss tangent index, a cable core temperature index, a partial discharge index, and a grounding current index.

[0014] The laying environment indexes correspond to second-level indexes including an environment temperature, an environment humidity, and a tunnel / soil condition.

[0015] The offline detection indexes correspond to second-level indexes including an insulation resistance, a leakage current, and a power frequency AC voltage withstand test.

[0016] The equipment information indexes correspond to second-level indexes including a running time, a production manufacturer, and a production model.

[0017] The daily inspection information indexes correspond to second-level indexes including cable body and accessory inspection, distribution box inspection, and infrared temperature measurement.

[0018] As a preferred scheme of the cable health state evaluation method, the obtaining parameterization data of evaluation indexes in the target cable and preprocessing the parameter data includes:

[0019] The parameterization data of evaluation indexes in the target cable is recorded in the following matrix form:

[0020] The parameterization data of evaluation indexes in the target cable is recorded in the following matrix form:

[0021]

[0022] wherein n represents the number of objects to be evaluated in the target cable, m represents the number of evaluation indexes used, m≤15, and 15 is the number of second-level indexes.

[0023] The result of preprocessing the parameter data is recorded in the following matrix form:

[0024]

[0025]

[0026] wherein, represents the object to be evaluated in the i-th target cable, represents the j-th evaluation index.

[0027] As a preferred scheme of the cable health state evaluation method, wherein: the comprehensive evaluation matrix is constructed according to the pretreatment result, combined with the first preset weight acquisition logic, including:

[0028] The first preset weight acquisition logic includes:

[0029] Calculate the proportion of each element

[0030]

[0031] Calculate the entropy of each of the m indicators:

[0032]

[0033] According to the information entropy value, the weight of each of the m indicators is calculated:

[0034]

[0035] wherein, represents the object to be evaluated in the i-th target cable, represents the j-th evaluation index.

[0036] As a preferred scheme of the cable health state evaluation method, wherein: the comprehensive evaluation matrix is constructed according to the pretreatment result, combined with the first preset weight acquisition logic, further including:

[0037] The comprehensive evaluation matrix is represented as:

[0038]

[0039] wherein, * .

[0040] As a preferred scheme of the cable health state evaluation method, wherein: the comprehensive evaluation matrix is constructed according to the pretreatment result, combined with the second comprehensive evaluation index calculation logic, including: ​​

[0041] The second comprehensive evaluation index calculation logic comprises:

[0042] For each index, find the maximum value of the index in all samples to construct an ideal solution vector. Calculate the negative ideal solution: for each index, find the minimum value of the index in all samples to construct a negative ideal solution vector.

[0043]

[0044]

[0045] The distance of the sample to the positive ideal solution is calculated and represented as follows:

[0046]

[0047] The distance of the sample to the negative ideal solution is calculated and represented as follows:

[0048]

[0049] The calculation formula of the comprehensive evaluation index is:

[0050]

[0051] wherein, represents the distance of the sample to the positive ideal solution, represents the distance of the sample to the negative ideal solution.

[0052] As a preferred scheme of the cable health state evaluation method, wherein: the target cable health state determined according to the comprehensive evaluation matrix and the target cable actual parameter data, combined with the second comprehensive evaluation index calculation logic further comprises:

[0053] When is not greater than the first threshold value, the target cable health state is the first health state;

[0054] When is greater than the first threshold value and not greater than the second threshold value, the target cable health state is the second health state;

[0055] When is greater than the second threshold value and not greater than the third threshold value, the target cable health state is the third health state;

[0056] When is greater than the third threshold value, the target cable health state is the non-healthy state.

[0057] In a second aspect, the present application provides a cable health state evaluation system, comprising:

[0058] An index acquisition module is configured to preset evaluation indexes for evaluating the health status of the target cable, the evaluation indexes including primary indexes and secondary indexes, the primary indexes including online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes;

[0059] A data processing module is configured to acquire parameterized data of the evaluation indexes in the target cable and pre-process the parameter data;

[0060] A matrix acquisition module is configured to construct a comprehensive evaluation matrix according to the pre-processing result and in combination with a first preset weight acquisition logic;

[0061] A state judgment module is configured to determine the health status of the target cable according to the comprehensive evaluation matrix and actual parameter data of the target cable and in combination with a second comprehensive evaluation index calculation logic.

[0062] In a third aspect, the present application provides a computer device including a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the method as described above when executing the computer program.

[0063] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the method as described above.

[0064] Compared with the prior art, the present application has the following beneficial effects: the present application proposes a cable health status evaluation method and system, preset evaluation indexes for evaluating the health status of the target cable, the evaluation indexes including primary indexes and secondary indexes, the primary indexes including online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes; parameterized data of the evaluation indexes in the target cable are acquired, and the parameter data are pre-processed; a comprehensive evaluation matrix is constructed according to the pre-processing result and in combination with a first preset weight acquisition logic; the health status of the target cable is determined according to the comprehensive evaluation matrix and actual parameter data of the target cable and in combination with a second comprehensive evaluation index calculation logic. The cable health status evaluation method and system proposed by the present application not only consider evaluation indexes in multiple aspects, but also accurately reflect the health status of the target cable through reasonable weight distribution and data processing methods. In addition, the present application has the following beneficial effects:

[0065] Firstly, the method and system proposed by the present application have high flexibility and scalability. Since the evaluation indexes include primary indexes and secondary indexes, the indexes can be increased, decreased, or adjusted according to actual needs to adapt to the needs of different application scenarios. At the same time, the present application also provides a method for constructing pre-processing results and a comprehensive evaluation matrix, so that the subsequent evaluation process is more convenient and efficient.

[0066] Secondly, the method and system of the present application can dynamically monitor the health status of the cable in real time. By combining online monitoring indicators and offline detection indicators, real-time state data of the target cable can be obtained in real time, and rapid processing and analysis can be performed. This helps to discover potential problems of the cable in time and take corresponding measures for repair or maintenance, thereby improving the safety and reliability of the cable.

[0067] Finally, the method and system of the present application also have powerful data analysis and visualization capabilities. By constructing a comprehensive evaluation matrix and calculating a comprehensive evaluation index, the health status of the target cable and the performance of each indicator can be clearly displayed. At the same time, the evaluation results can be presented in the form of charts or reports using visualization tools, facilitating intuitive analysis and decision-making by users.

[0068] In summary, the cable health status evaluation method and system proposed by the present application has high flexibility, real-time dynamic monitoring capability, and powerful data analysis and visualization capability, providing a new solution for the evaluation of the health status of the cable. BRIEF DESCRIPTION OF DRAWINGS

[0069] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor. Among them:

[0070] Fig. 1 is a method flowchart of a cable health status evaluation method and system provided by an embodiment of the present application;

[0071] Fig. 2 is an internal structure diagram of a computer device of a cable health status evaluation method and system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0072] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.

[0073] Embodiment 1

[0074] Referring to Figs. 1-2, the first embodiment of the present application provides a cable health status evaluation method and system, which includes:

[0075] Before detailing the embodiments of the present application, some related concepts are first explained for the sake of clarity.

[0076] Evaluation index: Evaluation index refers to a series of standards or parameters used to measure, compare and analyze the performance of an object in a specific aspect when conducting an evaluation or assessment. In different fields and application scenarios, evaluation indexes may vary, but their common purpose is to objectively and quantitatively reflect the status or performance of the evaluated object. In the cable health status evaluation you mentioned, evaluation indexes include online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes, etc., which together form a comprehensive framework for evaluating the status of the cable.

[0077] Comprehensive evaluation matrix: Comprehensive evaluation matrix is a mathematical tool used to integrate data from multiple evaluation indexes to obtain the overall evaluation result of one or a group of objects. In this process, each evaluation index is first assigned a corresponding weight to reflect its relative importance in the evaluation system. Then, the score of each object on each index (usually pre-processed and standardized data) is multiplied by the weight of that index, and finally summarized in a matrix form. This matrix takes into account all indexes and their weights, and can comprehensively and balancedly reflect the overall condition of each object. In the cable health status evaluation, the comprehensive evaluation matrix is constructed in this way, used for quantitative analysis of the health level of the cable.

[0078] Cable health status: Cable health status refers to the comprehensive evaluation of the running condition, performance degradation and potential failure risk of the cable through a series of monitoring, detection and data analysis. This concept is similar to human health status, and good cable health status means that the cable can transmit power stably, safely and efficiently, while poor health status may indicate potential safety hazards or imminent failure. Through the above evaluation index and comprehensive evaluation matrix method, the cable health status can be divided into different levels, such as healthy, sub-healthy, poor or failure, so that appropriate maintenance, repair or replacement measures can be taken to ensure the stable operation of the power system.

[0079] In the prior art, the evaluation of cable health status usually relies on a single index or simple parameter comparison, which often fails to comprehensively reflect the health status of the cable. In addition, the lack of systematic evaluation methods and tools also makes the management of cable health status complex and cumbersome.

[0080] The present application provides a method for effectively solving the above-mentioned problems, and the following will be described in detail how to realize the cable health status evaluation method and system according to multiple embodiments.

[0081] FIG. 1 shows a method flowchart of a cable health state evaluation method and system, comprising:

[0082] S101, preset evaluation indexes for evaluating the target cable health state, the evaluation indexes including primary indexes and secondary indexes, the primary indexes including online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes;

[0083] The preset evaluation indexes for evaluating the target cable health state include the primary indexes and the secondary indexes, wherein the primary indexes include the online monitoring indexes, the laying environment indexes, the offline detection indexes, the equipment information indexes, and the daily inspection information indexes.

[0084] The secondary indexes corresponding to the online monitoring indexes in the primary indexes include a dielectric loss tangent index, a cable core temperature index, a partial discharge index, and a grounding current index.

[0085] The secondary indexes corresponding to the laying environment indexes in the primary indexes include an environmental temperature, an environmental humidity, and a tunnel / soil condition.

[0086] The secondary indexes corresponding to the offline detection indexes in the primary indexes include an insulation resistance, a leakage current, and a power frequency AC voltage withstand test.

[0087] The secondary indexes corresponding to the equipment information indexes in the primary indexes include a running time, a production manufacturer, and a production model.

[0088] The secondary indexes corresponding to the daily inspection information indexes in the primary indexes include cable body and accessory inspection, distribution box inspection, and infrared temperature measurement.

[0089] It should be noted that by presetting the evaluation indexes for evaluating the target cable health state, including the primary indexes and the secondary indexes, various aspects of the cable health can be comprehensively considered to ensure the accuracy and completeness of the evaluation. The primary indexes cover multiple dimensions such as online monitoring, laying environment, offline detection, equipment information, and daily inspection, and the secondary indexes further refine the specific content of each primary index, making the evaluation more specific and in-depth. By obtaining the parameterized data of the evaluation indexes in the target cable and preprocessing the parameter data, noise and outliers in the data can be eliminated, improving the accuracy and reliability of the evaluation. The preprocessing process may include data cleaning, format conversion, standardization, etc. to ensure the standardization and consistency of the data. By constructing a comprehensive evaluation matrix and determining the target cable health state, the influence of each index can be considered comprehensively to obtain an evaluation result that comprehensively reflects the cable health state. This method not only avoids the one-sidedness of single-index evaluation, but also can find potential problems in the cable health state, providing decision support for subsequent maintenance and management.

[0090] S102, obtain parameterization data of evaluation indexes in the target cable, and pre-process the parameter data;

[0091] The parameterization data of the evaluation indexes in the target cable is recorded in the following matrix form:

[0092]

[0093] n represents the number of objects to be evaluated in the target cable, and m represents the number of evaluation indexes used, m≤15, and 15 is the number of secondary indexes;

[0094] In this embodiment, the pre-processing further includes normalizing the data of each index, so that each index is in the same dimension and order of magnitude.

[0095] For the above evaluation indexes, the application uses standardization processing to uniformly reflect the degree of index degradation. The smaller the value, the better the state of the cable, and the larger the value, the worse the state of the cable. For indexes close to 1, it is considered that the state is abnormal, and appropriate maintenance should be arranged to eliminate the fault. For the smaller and better type index, the degradation degree processing expression is:

[0096]

[0097] For the intermediate type index, the degradation degree processing expression is:

[0098]

[0099] In the above formula, , represents the upper and lower limits of the characteristic quantity; , is the most suitable upper and lower boundary value, is the degradation degree of each index after normalization.

[0100] Further, the result of pre-processing the parameter data is recorded in the following matrix form:

[0101]

[0102]

[0103] wherein, represents the i-th target cable to be evaluated object, represents the j-th evaluation index.

[0104] It should be noted that preprocessing can eliminate noise and outliers in data, improve the accuracy and reliability of evaluation. In the acquisition of cable health state evaluation index parameterization data, due to the influence of various factors, there may be noise, missing values or outliers in the data. Through data cleaning, format conversion and standardization and other preprocessing operations, these adverse factors can be eliminated to ensure the accuracy and consistency of the data, thereby improving the reliability of the evaluation results. Preprocessing can unify the dimension and order of magnitude of each index, so that different indexes can be effectively compared and analyzed. In the evaluation of cable health state, the evaluation indexes involved may have different units and dimensions, such as voltage, temperature, humidity, etc. Through preprocessing operations, these indexes can be converted to a unified measurement standard, so that each index has the same weight and comparability in comprehensive evaluation, so as to more accurately reflect the health status of the cable. Preprocessing also helps to improve the stability and universality of the evaluation method. By normalizing the data, the data range of each index can be within a comparable range, avoiding evaluation bias caused by differences in data dimension and order of magnitude. This processing method is not only suitable for specific cable health state evaluation scenarios, but also can be extended to other similar evaluation tasks, improving the universality and applicability of the evaluation method.

[0105] S103, according to the preprocessing result, combining the first preset weight acquisition logic, constructing a comprehensive evaluation matrix;

[0106] Among them, according to the preprocessing result, combining the first preset weight acquisition logic, constructing a comprehensive evaluation matrix includes:

[0107] Calculate the proportion of each element :

[0108]

[0109] Calculate the entropy of each of the m indexes:

[0110]

[0111] According to the information entropy value, calculate the weight of each of the m indexes:

[0112]

[0113] Among them, indicates the object to be evaluated in the i th target cable, indicates the j th evaluation index.

[0114] Further, according to the preprocessing result, combining the first preset weight acquisition logic, constructing a comprehensive evaluation matrix further includes:

[0115] The comprehensive evaluation matrix is expressed as:

[0116]

[0117] wherein,

[0118] It should be noted that by constructing the comprehensive evaluation matrix, various evaluation indexes of the cable health status can be comprehensively and systematically considered. This matrix not only contains data information of each index, but also reflects the importance of each index in evaluation through weight distribution. In this way, the evaluation result can more accurately reflect the overall health status of the cable, avoiding the one-sidedness of single index evaluation. In combination with the first preset weight acquisition logic, the weights of each index can be scientifically and reasonably determined. This logic is based on the principle of information entropy, and the weight value of each index is obtained by calculating the information entropy and proportion of each index. This method not only considers the differences between index data, but also avoids the randomness and uncertainty of subjective weighting, making the weight distribution more objective and accurate. Constructing the comprehensive evaluation matrix is also helpful to find potential problems of the cable health status. Since the comprehensive evaluation matrix comprehensively considers the information of multiple indexes, it can find problems that may be ignored in single index evaluation. By comparing the data differences and change trends between different indexes, abnormalities or potential risks of the cable health status can be found in time, providing decision support for subsequent maintenance and management.

[0119] In S104, the cable health status is determined according to the comprehensive evaluation matrix and the actual parameter data of the target cable, in combination with the second comprehensive evaluation index calculation logic.

[0120] According to the comprehensive evaluation matrix and the actual parameter data of the target cable, in combination with the second comprehensive evaluation index calculation logic, the cable health status is determined.

[0121] The second comprehensive evaluation index calculation logic includes:

[0122] For each index, find the maximum value of the index in all samples to construct the ideal solution vector. Calculate the negative ideal solution: for each index, find the minimum value of the index in all samples to construct the negative ideal solution vector.

[0123]

[0124]

[0125] The distance from the sample to the positive ideal solution is calculated and expressed as:

[0126]

[0127] ​​​The distance from the sample to the negative ideal solution is calculated as follows:

[0128]

[0129] The formula for calculating the comprehensive evaluation index is:

[0130]

[0131] in, This represents the distance from the sample to the positive ideal solution. This represents the distance from the sample to the negative ideal solution.

[0132] Based on the comprehensive evaluation matrix and the actual parameter data of the target cable, combined with the calculation logic of the second comprehensive evaluation index, the health status of the target cable is also determined as follows:

[0133] when If the value is not greater than the first threshold, the target cable's health status is the first health status;

[0134] when If the value is greater than the first threshold but not greater than the second threshold, then the target cable's health status is the second health status.

[0135] when If the value is greater than the second threshold but not greater than the third threshold, then the health status of the target cable is the third health status.

[0136] when If the value exceeds the third threshold, the target cable is considered to be in an unhealthy state.

[0137] In this embodiment, the first threshold, the second threshold, and the third threshold can be determined based on statistical methods (such as quartiles, percentiles, or a fixed deviation based on empirical judgment). For example, if the percentile method is chosen: the first threshold... This refers to the 90th percentile of the overall health cable evaluation index, meaning that 90% of the health cable evaluation index is below this value. Second threshold. The 75th percentile of all data is used to identify some problematic cables. Third threshold. The median, or median, further distinguishes cables with more significant problems.

[0138] In this embodiment, the first threshold, the second threshold, and the third threshold can be determined based on expert experience and historical data. The specific steps are as follows:

[0139] Collect comprehensive evaluation index data of the target cable, including records of its health, sub-health, poor condition, and even pre-failure status, and standardize the comprehensive evaluation index.

[0140] Invite experts in the field to give a score from 1 to 10 (1 means very unhealthy, 10 means extremely healthy) for the comprehensive evaluation index of each record based on their professional knowledge and experience.

[0141] Match the comprehensive evaluation index of each historical data with the corresponding expert score.

[0142] Use the comprehensive evaluation index and expert score in the historical data to establish a regression model or classification model (such as logistic regression, support vector machine, etc.), the goal is to predict the expert score or directly divide the health status level.

[0143] The model used in this application is specifically: based on the standardized comprehensive evaluation index and expert score , the linear regression model form can be simplified as:

[0144]

[0145] where, is the expert score, is the standardized comprehensive evaluation index, is the intercept, is the slope, is the error term.

[0146] Assuming that we want to divide the cable health status into four levels (as described earlier), we can determine the level division points according to the distribution of expert scores (for example, 9-10 is the first health status, 7-8 is the second health status, 5-6 is the third health status, and 1-4 is the unhealthy status). Then, use the regression model to deduce the corresponding comprehensive evaluation index threshold of each level:

[0147]

[0148] where, is the expert score threshold for dividing the level.

[0149] In this embodiment, a cable health status report corresponding to the target cable health status also needs to be generated and sent to the user end. When the target cable health status is the first health status, a first health status report is generated, which is used to indicate that the target cable is in a healthy state and does not need to be maintained or overhauled. When the target cable health status is the second health status, a second health status report is generated, which is used to indicate that the target cable is in a sub-healthy state and needs to be paid attention to and regularly inspected. When the target cable health status is the third health status, a third health status report is generated, which is used to indicate that the target cable is in a pre-warning state and needs to be maintained. When the target cable health status is the non-healthy state, a non-healthy state report is generated, which is used to indicate that the target cable is in a serious fault state and needs to be urgently overhauled.

[0150] In addition, in order to ensure the accuracy and reliability of the cable health status evaluation, necessary monitoring and verification of the evaluation process also needs to be performed. Specifically, a periodic or non-periodic verification mechanism can be set to review the data, parameters and logic in the evaluation process to ensure that they meet the actual situation and evaluation standards. At the same time, a feedback mechanism can also be established to timely collect feedback opinions of users on the evaluation results, and continuously optimize and improve the evaluation method and logic.

[0151] In actual application, the cable health status evaluation system can be integrated with the cable operation and maintenance management system to realize data sharing and collaborative work. Through the cable operation and maintenance management system, the running data, overhaul records and other information of the cable can be obtained in real time to provide more comprehensive and accurate data support for the cable health status evaluation. At the same time, the cable health status evaluation result can also provide a decision basis for the cable operation and maintenance management to guide the operation and maintenance personnel to formulate a reasonable overhaul plan and maintenance strategy, and improve the running safety and reliability of the cable.

[0152] In an optional embodiment set, a corresponding cable maintenance strategy can also be formulated and sent according to the cable health status.

[0153] In formulating and sending the corresponding cable maintenance strategy, the cable health status needs to be deeply analyzed and understood first. Different health statuses reflect different problems existing in the cable during operation, so a targeted maintenance strategy needs to be formulated. For example, for the cable in a healthy state, a routine inspection and maintenance measure can be implemented to ensure its normal operation; for the cable in a sub-healthy state, the inspection frequency needs to be strengthened to timely find and handle potential problems; for the cable in a pre-warning state, a detailed overhaul plan needs to be formulated to repair and replace the cable as necessary; and for the cable in a serious fault state, an emergency overhaul needs to be immediately performed to restore its normal operation.

[0154] At the same time, in order to ensure the effectiveness and practicality of the cable maintenance strategy, the actual situation of the cable, the operating environment and the operation and maintenance resources need to be considered comprehensively. For example, when formulating the maintenance strategy, the basic situation of the cable such as material, structure, service life, and environmental factors such as climate, temperature and humidity need to be considered. In addition, the experience, skills and available resources of the operation and maintenance personnel need to be considered to formulate a maintenance strategy that is both practical and feasible.

[0155] When sending the cable maintenance strategy, various methods can be used, such as email, SMS, APP push, etc., to ensure that the operation and maintenance personnel can receive the relevant information in a timely manner. At the same time, the maintenance strategy can be associated with the cable health status report to facilitate the operation and maintenance personnel to view and understand. By formulating and sending the corresponding cable maintenance strategy, the operation safety and reliability of the cable can be effectively improved, the service life can be extended, and the operation and maintenance cost can be reduced.

[0156] In addition, the evaluation of the cable health status and the formulation of the maintenance strategy is not only a static process, but also a dynamic and cyclic process. As the cable operates and time passes, the health status of the cable may change, so it is necessary to evaluate the health status of the cable regularly and adjust the maintenance strategy according to the new evaluation results. This dynamic and cyclic evaluation and maintenance mode can ensure that the cable always maintains a good operating state and provides strong support for the stable operation of the power system.

[0157] At the same time, in order to continuously improve the accuracy and effectiveness of the cable health status evaluation, continuous technological innovation and research and development are needed. For example, more advanced sensor technology, data analysis algorithm and artificial intelligence technology can be explored to improve the intelligence and automation level of the cable health status evaluation. Through technological innovation and research and development, the accuracy and reliability of the cable health status evaluation can be further improved, and more solid technical support can be provided for the stable operation of the power system.

[0158] In summary, the present application proposes a cable health state evaluation method, preset evaluation index for evaluating the health state of the target cable, the evaluation index includes primary indicators and secondary indicators, the primary indicators include online monitoring indicators, laying environment indicators, offline detection indicators, equipment information indicators and daily inspection information indicators; obtain the parameterized data of the evaluation index in the target cable, and pretreat the parameter data; according to the pretreatment result, combined with the first preset weight acquisition logic, construct a comprehensive evaluation matrix; according to the comprehensive evaluation matrix and the actual parameter data of the target cable, combined with the second comprehensive evaluation index calculation logic, determine the health state of the target cable. The cable health state evaluation method and system proposed by the present application not only considers multiple evaluation indicators, but also accurately reflects the health state of the target cable through reasonable weight distribution and data processing method. In addition, the present application has the following beneficial effects:

[0159] Firstly, the method and system proposed by the present application have high flexibility and scalability. Since the evaluation index includes primary indicators and secondary indicators, the indicators can be increased, decreased or adjusted according to actual needs to adapt to the needs of different application scenarios. At the same time, the present application also provides a method for constructing the pretreatment result and the comprehensive evaluation matrix, so that the subsequent evaluation process is more convenient and efficient.

[0160] Secondly, the method and system of the present application can dynamically monitor the health state of the cable in real time. Through the combination of online monitoring indicators and offline detection indicators, the real-time state data of the target cable can be obtained in real time, and it can be quickly processed and analyzed. This helps to discover potential problems of the cable in time and take corresponding measures to repair or maintain, thereby improving the safety and reliability of the cable.

[0161] Finally, the method and system of the present application also have strong data analysis and visualization capabilities. By constructing the comprehensive evaluation matrix and calculating the comprehensive evaluation index, the health state of the target cable and the performance of each indicator can be clearly displayed. At the same time, the evaluation results can be presented in the form of charts or reports using visualization tools, which facilitates intuitive analysis and decision-making by users.

[0162] In summary, the cable health state evaluation method and system proposed by the present application have high flexibility, real-time dynamic monitoring capability and strong data analysis and visualization capability, which provides a new solution for the evaluation of the health state of the cable.

[0163] The present application also provides a cable health state evaluation system in this embodiment, which comprises:

[0164] An index obtaining module is configured to preset evaluation indexes for evaluating the health status of the target cable, the evaluation indexes including primary indexes and secondary indexes, the primary indexes including online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes;

[0165] A data processing module is configured to obtain parameterized data of the evaluation indexes in the target cable and pre-process the parameter data;

[0166] A matrix obtaining module is configured to construct a comprehensive evaluation matrix according to the pre-processing result and in combination with a first preset weight obtaining logic;

[0167] A state judging module is configured to determine the health status of the target cable according to the comprehensive evaluation matrix and actual parameter data of the target cable in combination with a second comprehensive evaluation index calculation logic.

[0168] The above-mentioned unit modules can be embedded in or independent of a processor in a computer device in a hardware form, or can be stored in a memory in the computer device in a software form, so as to be called and executed by the processor to perform the operations corresponding to the above-mentioned modules.

[0169] The embodiment also provides a computer device which can be a terminal, and an internal structure diagram of the computer device can be as shown in FIG. 2. The computer device includes a processor, a memory, a communication interface, a display screen and an input device which are connected through a system bus. The processor of the computer device is configured 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 and a computer program. The internal memory provides an environment for running the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is configured to perform wired or wireless communication with an external terminal. The wireless communication can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement a cable health status evaluation method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or can be a key, a trackball or a touchpad arranged on the shell of the computer device, or can be an external keyboard, a touchpad or a mouse, etc.

[0170] The embodiment also provides a computer readable storage medium having a computer program stored thereon, and the computer program is executed by a processor to implement the following steps:

[0171] Preset evaluation indexes for evaluating the health status of the target cable, the evaluation indexes including primary indexes and secondary indexes, the primary indexes including online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes;

[0172] Obtaining evaluation index parameterization data in the target cable, and preprocessing the parameter data;

[0173] According to the preprocessing result, a comprehensive evaluation matrix is constructed in combination with first preset weight acquisition logic;

[0174] According to the comprehensive evaluation matrix and the actual parameter data of the target cable, a second comprehensive evaluation index calculation logic is combined to determine the health state of the target cable.

[0175] Embodiment 2

[0176] Referring to FIGS. 1-2, an embodiment of the present application provides a cable health state evaluation method and system. In order to verify the beneficial effects of the present application, scientific demonstration is carried out through experiments.

[0177] Finally, the health state of five cable joints can be evaluated, and each index is shown in Table 1.

[0178] Table 1: Weight values of each index.

[0179]

[0180] The positive ideal distance, negative ideal distance, relative closeness and ranking results are shown in Table 2, which proves that the health state of No. 4 joint is the best, and the health state of No. 2 joint is not good, which needs to be checked for failure in time.

[0181] Table 2: Evaluation calculation results.

[0182]

[0183] It should be noted that on the basis of experimental verification, the cable health state evaluation method and system of the present application has shown significant advantages. By presetting evaluation indexes for evaluating the health state of the target cable and obtaining evaluation index parameterization data in the target cable, the present application can comprehensively and accurately evaluate the health state of the cable. The experimental results show that the present application can effectively identify the cable joint with the best health state and timely find the joint with poor health state, providing an important reference for subsequent repair and maintenance.

[0184] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, and they should be covered in the scope of the claims of the present application.

[0185] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, a system or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code thereon for use by or in connection with an instruction execution system. Program code embodied on one or more computer-usable storage media can be downloaded over a network

[0186] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks or in combination with the flowchart block or blocks.

[0187] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks or combination thereof.

[0188] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks or in combination with the flowchart block or blocks.

[0189] While the preferred embodiments of the application have been described, additional variations and modifications can be employed by those skilled in the art. Therefore, the appended claims are intended to cover all such variations and modifications as falling within the scope of the application.

[0190] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A method for evaluating the health state of a cable, characterized by, The method comprises the following steps: presetting evaluation indexes for evaluating the health status of the target cable, the evaluation indexes comprising primary indexes and secondary indexes, the primary indexes comprising online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes; acquiring parameterized data of the evaluation indexes in the target cable, and preprocessing the parameterized data; constructing a comprehensive evaluation matrix according to the preprocessing result and a first preset weight acquisition logic; determining the health status of the target cable according to the comprehensive evaluation matrix and actual parameter data of the target cable and a second comprehensive evaluation index calculation logic.

2. The cable health assessment method of claim 1, wherein, The preset evaluation indexes for evaluating the health status of the target cable comprise primary indexes and secondary indexes, which comprise: The primary indexes comprise online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes. The secondary indexes corresponding to the online monitoring indexes in the primary indexes comprise dielectric loss tangent indexes, cable core temperature indexes, partial discharge indexes, and grounding current indexes. The secondary indexes corresponding to the laying environment indexes in the primary indexes comprise environmental temperature, environmental humidity, and tunnel / soil conditions. The secondary indexes corresponding to the offline detection indexes in the primary indexes comprise insulation resistance, leakage current, and power frequency AC voltage withstand test. The secondary indexes corresponding to the equipment information indexes in the primary indexes comprise running time, manufacturer, and production model. The secondary indexes corresponding to the daily inspection information indexes in the primary indexes comprise cable body and accessory inspection, distribution box inspection, and infrared temperature measurement.

3. The cable health assessment method of claim 2, wherein, The step of acquiring parameterized data of the evaluation indexes in the target cable and preprocessing the parameterized data comprises: The parameterized data of the evaluation indexes in the target cable is recorded in the following matrix form: wherein n represents the number of objects to be evaluated in the target cable, m represents the number of evaluation indexes used, and m≤15, 15 being the number of secondary indexes. The result of preprocessing the parameterized data is recorded in the following matrix form: wherein represents the i-th target cable to be evaluated, wherein xij represents the jth evaluation index.

4. The cable health assessment method of claim 3, wherein, The step of constructing a comprehensive evaluation matrix according to the preprocessing result and a first preset weight acquisition logic comprises: The first preset weight acquisition logic comprises: calculating the proportion of each element : calculating the entropy of each of the m indexes: calculating the weight of each of the m indexes according to the information entropy value: wherein, represents the i-th target cable to be evaluated, wherein xij represents the jth evaluation index.

5. The method of claim 4, wherein the step of determining the cable health state comprises the step of: The step of constructing a comprehensive evaluation matrix according to the preprocessing result and a first preset weight acquisition logic further comprises: ​ The comprehensive evaluation matrix is represented as: wherein = * 。 6. The method of claim 5, wherein the step of determining the cable health state comprises the step of: The step of determining the health status of the target cable according to the comprehensive evaluation matrix and actual parameter data of the target cable and a second comprehensive evaluation index calculation logic comprises: ​ The second comprehensive evaluation index calculation logic comprises: For each index, find the maximum value of the index in all samples to construct an ideal solution vector. Calculate the negative ideal solution: for each index, find the minimum value of the index in all samples to construct a negative ideal solution vector. Calculate the distance from the sample to the positive ideal solution, which is represented as follows: Calculate the distance from the sample to the negative ideal solution, which is represented as follows: The calculation formula of the comprehensive evaluation index is: wherein, denotes the distance of a sample to the positive ideal solution, wherein d- represents the distance from the sample to the negative ideal solution.

7. The method of claim 6, wherein the step of determining the cable health state comprises the step of: The determining the target cable health state according to the comprehensive evaluation matrix and the target cable actual parameter data, and in combination with second comprehensive evaluation index calculation logic further includes: ​ When If the first threshold value, the target cable health state is a first health state; When If greater than the first threshold value and not greater than the second threshold value, the target cable health state is a second health state; When If greater than the second threshold value and not greater than the third threshold value, the target cable health state is a third health state; When If greater than the third threshold value, the target cable health state is an unhealthy state.

8. A cable health condition evaluation system characterized by comprising: The method includes: An index acquisition module is configured to preset evaluation indexes for evaluating the target cable health state, the evaluation indexes including first-level indexes and second-level indexes, the first-level indexes including online monitoring indexes, laying environment indexes, offline detection indexes, equipment information indexes, and daily inspection information indexes; A data processing module is configured to acquire parameterized data of the evaluation indexes in the target cable and pre-process the parameterized data; A matrix acquisition module is configured to construct a comprehensive evaluation matrix according to the pre-processing result and in combination with first preset weight acquisition logic; A state judgment module is configured to determine the target cable health state according to the comprehensive evaluation matrix and the target cable actual parameter data and in combination with second comprehensive evaluation index calculation logic. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to implement the steps of the method in any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 7.

Citation Information

Patent Citations

  • Aluminum alloy cable whole life cycle cost management index system construction method

    CN105956761A

  • Cable intermediate joint insulation state evaluation method and system

    CN114528721A

  • College classroom teaching quality comprehensive evaluation method based on machine vision and single-valued neutrosophy set

    CN117592832A

  • Power cable state evaluation method and system based on combined empowerment

    CN117611003A

  • Cable health state evaluation method and system

    CN118607980A

Cited By

  • Aircraft power supply system health state assessment method based on dynamic weight

    CN121809244A

  • Multi-element comprehensive quantitative detection method for health state of pipe gallery structure

    CN122173850A

  • Intelligent prediction and evaluation system based on insulation aging of wires and cables

    CN122334038A