Secondary equipment health state assessment method fusing multiple indexes

Abstract

The invention discloses a secondary equipment health state assessment method fusing multiple indexes. The method comprises the following steps: step 1, information collection; 2, data analysis; step 3, state evaluation; and 4, applying a result. The method has the beneficial effects that during data analysis, protection regular check data analysis, protection defect data analysis, protection counter measure data analysis, protection overtime service analysis, protection overtime uncheck analysis and special maintenance work completion statistical analysis are carried out on different secondary equipment; according to the method, the health state of the equipment is evaluated, so that the secondary equipment with risks can be quickly checked out, then corresponding maintenance and overhaul strategies are formulated according to the evaluation result, the equipment is classified and managed, the full-dimensional health evaluation of the secondary equipment device is realized, and the current and historical operation health states of the protection device are displayed. And analyzing the health state and the periodic trend change of the equipment.

Description

Technical Field

[0001] The present invention relates to an evaluation method, in particular to a secondary equipment health status evaluation method integrating multiple indicators, and belongs to the technical field of power equipment. Background Art

[0002] Secondary equipment is an important part of the power system. Secondary equipment refers to low-voltage electrical equipment that monitors, controls, regulates and protects the operation of primary equipment (such as generators, transformers, circuit breakers, etc.), and provides operation status or command signals to operation and maintenance personnel. These devices do not directly participate in the production and distribution of electric energy, but they play a very important role in ensuring the normal operation and benefits of primary equipment.

[0003] In the process of operating and maintaining secondary equipment, it is often necessary to inspect it and collect daily data of the secondary equipment. When evaluating the secondary equipment, its health status is generally analyzed based on daily data. However, the existing evaluation methods are mostly based on the daily data of secondary equipment operation and maintenance. The traditional evaluation method is generally based on the equipment's operating experience, fault history and maintenance records for subjective judgment. This method relies on the experience and knowledge level of the staff, and may be subjective and uncertain. Or it is a data-based evaluation method, which collects the real-time operating data, historical data and fault records of the equipment and performs data analysis, but such a large amount of data makes the evaluation efficiency low. On the other hand, it is difficult to quickly discover risky equipment based on daily usage data. Therefore, this application proposes a secondary equipment health status evaluation method that integrates multiple indicators. Summary of the invention

[0004] The purpose of the present invention is to provide a secondary equipment health status assessment method integrating multiple indicators in order to solve the above problems. First, the basic information, operation data and fault record related information of the equipment are collected. Secondly, when performing data analysis, protection inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overtime service analysis, protection overtime non-inspection analysis and special maintenance work completion statistical analysis are performed for different secondary equipment. According to the analysis results and evaluation criteria, the health status of the equipment is evaluated, so that secondary equipment with risks can be quickly checked out. Then, corresponding maintenance and overhaul strategies are formulated according to the evaluation results, and the equipment is classified and managed to achieve full-dimensional health assessment of secondary equipment devices, display the current and historical operating health status of the protection device, analyze the equipment health status and periodic trend changes, and comprehensively evaluate the health level of the secondary device, so as to provide more mature data support for the implementation of operation risk investigation.

[0005] The present invention achieves the above-mentioned purpose through the following technical scheme, a secondary equipment health status assessment method integrating multiple indicators, comprising the following steps:

[0006] Step 1: Information collection, collecting basic information of the equipment, operating data and related information of fault records;

[0007] Step 2: Data analysis: Analyze and process the basic information, operation data and fault record data collected in step 1, extract key indicators and parameters to obtain analysis results;

[0008] Step 3: Status assessment: Based on the analysis results and assessment criteria, the health status of the equipment is assessed to obtain the assessment results.

[0009] Step 4: Apply the results. According to the evaluation results, formulate corresponding maintenance and repair strategies and classify and manage the equipment.

[0010] The data analysis includes but is not limited to protection scheduled inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overtime service analysis, protection overtime non-inspection analysis and special maintenance work completion statistical analysis.

[0011] Preferably, the protection inspection data analysis is specifically as follows:

[0012] Combined with the maintenance work ticket, the system automatically analyzes the equipment scheduled inspection status, analyzes the rectification and implementation of problems found and missed during the scheduled inspection, conducts a comprehensive effectiveness analysis of the specific work items of automatic and manual scheduled inspections, and conducts a comprehensive analysis and evaluation of the execution of scheduled inspections and the operating risks of overdue equipment that has not been inspected.

[0013] Preferably, the protection defect data analysis is specifically as follows:

[0014] Conduct multi-dimensional analysis on protection equipment defects, statistically analyze the defect patterns of protection devices under different abnormal conditions, the impact of different abnormal conditions of protection devices on protection defects, analyze protection defects and the corresponding alarm information and action response information before the defects, carry out full-dimensional operation evaluation, combine the defect failure probability change patterns of various types of equipment and various types of plug-ins at different levels, and identify and analyze family defects and vulnerable plug-ins.

[0015] Preferably, the protection countermeasure data analysis is specifically as follows: according to the countermeasure plan, in combination with the maintenance work ticket, the countermeasure plan execution status is automatically analyzed, and the execution status of the scheduled inspection and the risk of overdue countermeasure operation are comprehensively analyzed and evaluated.

[0016] Preferably, the protection overtime service analysis is specifically as follows: by automatically acquiring the ledger files sent by the equipment and the manually imported PMS ledger list, real-time rolling statistics of the equipment overtime years are compiled, risk warnings are issued for overtime of 220kV and above systems and serious overtime of 110kV systems, rectification plans are formulated, and implementation is supervised through protection access information.

[0017] Preferably, the protection overdue inspection analysis is specifically as follows: through the regular inspection time data, risk warning is issued for the protection overdue inspection of 110kV and above, and a rectification plan is formulated, which is supervised and implemented through the primary equipment power outage and protection maintenance data.

[0018] Preferably, the statistical analysis of the completion of the special work is specifically: automatic tracking and statistical analysis of the completion of the special work, with a focus on tracking and protection.

[0019] Preferably, the status assessment includes the following methods:

[0020] Quantitative evaluation: Evaluate the availability of equipment by counting the types and frequency of equipment defects and quantitative indicators of countermeasure execution;

[0021] Comprehensive evaluation: A combination of multiple evaluation methods, including but not limited to the analytic hierarchy process, variable weight coefficient method and cloud model evaluation method, is used to conduct a comprehensive evaluation of the equipment status.

[0022] Preferably, the result application includes the following methods:

[0023] Formulate maintenance strategies: Based on the evaluation results, formulate reasonable maintenance plans and strategies to ensure stable and reliable operation of the equipment;

[0024] Optimize resource allocation: Optimize resource allocation according to the equipment's operating conditions and risk assessment results to improve equipment efficiency and economic benefits;

[0025] Improve management level: Through the analysis of evaluation results, find out the problems and deficiencies in management, put forward improvement measures and suggestions, and improve management level.

[0026] The beneficial effects of the present invention are as follows: first, basic information, operating data and fault record related information of the equipment are collected; secondly, during data analysis, protection scheduled inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overtime service analysis, protection overtime non-inspection analysis and special maintenance work completion statistical analysis are performed for different secondary equipment; based on the analysis results and evaluation criteria, the health status of the equipment is evaluated; and classified statistical analysis is performed using protection scheduled inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overtime service analysis, protection overtime non-inspection analysis and special maintenance work completion, thereby being able to quickly detect secondary equipment with risks compared to existing methods.

[0027] Then, based on the evaluation results, corresponding maintenance and overhaul strategies are formulated, and the equipment is classified and managed to achieve a full-dimensional health assessment of secondary equipment and devices, display the current and historical operating health status of the protection device, analyze the equipment health status and periodic trend changes, and comprehensively evaluate the health level of the secondary device, providing more mature data support for the realization of operational risk investigation. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a schematic diagram of the evaluation process of the present invention;

[0029] Figure 2 Schematic diagram of data analysis of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] The embodiment of the present invention discloses a secondary equipment health status assessment method integrating multiple indicators.

[0032] According to the attached Figure 1-2 As shown, the following steps are included:

[0033] Step 1: Information collection, collecting basic information of the equipment, operating data and related information of fault records;

[0034] Step 2: Data analysis: Analyze and process the basic information, operation data and fault record data collected in step 1, extract key indicators and parameters to obtain analysis results;

[0035] Step 3: Status assessment: Based on the analysis results and assessment criteria, the health status of the equipment is assessed to obtain the assessment results.

[0036] Step 4: Apply the results. According to the evaluation results, formulate corresponding maintenance and repair strategies and classify and manage the equipment.

[0037] The data analysis includes but is not limited to protection scheduled inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overtime service analysis, protection overtime non-inspection analysis and special maintenance work completion statistical analysis.

[0038] First, collect the basic information, operation data and fault record related information of the equipment. Secondly, when performing data analysis based on the information collected in step one, perform protection inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overtime service analysis, protection overtime non-inspection analysis and special maintenance work completion statistical analysis for different secondary equipment. According to the analysis results and evaluation standards, evaluate the health status of the equipment, so that secondary equipment with risks can be quickly checked out. Then, formulate corresponding maintenance and overhaul strategies based on the evaluation results, and classify and manage the equipment. This solution realizes full-dimensional health evaluation of secondary equipment devices, displays the current and historical operating health status of protection devices, analyzes the health status of equipment and periodic trend changes, comprehensively evaluates the health level of secondary devices, and provides more mature data support for operational risk investigation.

[0039] Specifically disclosed, the protection inspection data analysis is as follows:

[0040] Combined with the maintenance work ticket, the system automatically analyzes the equipment scheduled inspection status, analyzes the rectification and implementation of problems found and missed during the scheduled inspection, conducts a comprehensive effectiveness analysis of the specific work items of automatic and manual scheduled inspections, and conducts a comprehensive analysis and evaluation of the execution of scheduled inspections and the operating risks of overdue equipment that has not been inspected.

[0041] Specifically disclosed, the protection defect data analysis is as follows:

[0042] By collecting and analyzing the historical data of the equipment, we establish a defect database for the equipment, conduct a multi-dimensional analysis of the defects of the protection equipment, statistically analyze the defect patterns of the protection device under different abnormal conditions, the impact of different abnormal conditions of the protection device on the protection defects, analyze the protection defects and the corresponding alarm information and action response information before the defects, carry out a full-dimensional operation evaluation, and combine the defect failure probability change patterns of various types of equipment and various types of plug-ins at different levels to identify and analyze the plug-ins with family defects and vulnerable plug-ins.

[0043] It is particularly disclosed that the protection countermeasure data analysis is specifically as follows: by collecting and analyzing the historical data of the equipment, a database of the equipment's countermeasure execution status is established; according to the countermeasure plan, combined with the maintenance work ticket and the error execution status database, the countermeasure plan execution status is automatically analyzed, and a comprehensive analysis and evaluation of the execution of scheduled inspections and the risk of overdue countermeasure operation is conducted.

[0044] Specially disclosed, the protection overtime service analysis is as follows: by automatically obtaining the ledger files sent by the equipment and the manually imported PMS ledger list, real-time rolling statistics of the equipment overtime years are collected, risk warnings are issued for overtime of 220kV and above systems and serious overtime of 110kV systems, rectification plans are formulated, and implementation is supervised through protection access information.

[0045] It is particularly public that the analysis of overdue protection inspection is as follows: through the regular inspection time data, risk warning is issued for overdue protection inspection of 110kV and above, and rectification plan is formulated, which is supervised and implemented through primary equipment power outage and protection maintenance data.

[0046] Specifically disclosed, the statistical analysis of the completion of the Tewei work is as follows: automatic tracking and statistical analysis of the Tewei completion status, with a focus on tracking and protection.

[0047] Furthermore, the status assessment includes the following methods:

[0048] Quantitative evaluation: Evaluate the availability of equipment by counting the types and frequency of equipment defects and quantitative indicators of countermeasure execution;

[0049] Specifically: by collecting and analyzing the historical data of the equipment, we can establish a defect database and a countermeasure execution status database for the equipment; then, using the information in these databases, we can calculate the key indicators of the equipment's defect frequency, defect repair rate, and countermeasure execution rate, and evaluate the equipment's availability by statistically analyzing the equipment's defect type, number, and quantitative indicators of countermeasure execution.

[0050] Comprehensive evaluation: A combination of multiple evaluation methods, including but not limited to the analytic hierarchy process, variable weight coefficient method and cloud model evaluation method, is used to conduct a comprehensive evaluation of the equipment status.

[0051] In practical applications, the analytic hierarchy process, variable weight coefficient method and cloud model evaluation method are combined to conduct a comprehensive evaluation. The specific steps are as follows:

[0052] Determine the evaluation metrics and hierarchy:

[0053] Determine the evaluation indicators and hierarchy based on the actual situation of the equipment and evaluation requirements.

[0054] Calculate the initial weights:

[0055] The initial weight of each evaluation indicator is calculated using the analytic hierarchy process.

[0056] Dynamically adjust weights:

[0057] The weight is dynamically adjusted using the variable weight coefficient method based on the real-time monitoring data and historical data of the equipment.

[0058] Build the cloud model and calculate the membership:

[0059] According to the value range and distribution characteristics of the evaluation indicators, a cloud model is constructed and the membership degree corresponding to each evaluation indicator value is calculated.

[0060] Comprehensive Assessment:

[0061] Based on the adjusted weights, memberships, and cloud model parameters, the comprehensive evaluation score and status level of the device are calculated.

[0062] Furthermore, the application of the results includes the following methods:

[0063] Formulate maintenance strategies: Based on the evaluation results, formulate reasonable maintenance plans and strategies to ensure stable and reliable operation of the equipment;

[0064] Optimize resource allocation: Optimize resource allocation and improve equipment utilization efficiency and economic benefits based on the equipment's operating status, quantitative indicators in quantitative evaluation, comprehensive evaluation scores, and status levels;

[0065] Improve management level: Through analyzing the evaluation results, find out the problems and deficiencies in management, put forward improvement measures and suggestions, and improve management level;

[0066] Combined with the maintenance work ticket, the system automatically analyzes the equipment scheduled inspection status, analyzes the rectification and implementation of problems found and missed during the scheduled inspection, conducts a comprehensive effectiveness analysis of the specific work items of automatic and manual scheduled inspections, and conducts a comprehensive analysis and assessment of the execution of scheduled inspections and the operating risks of overdue equipment that has not been inspected;

[0067] Conduct multi-dimensional analysis on protection equipment defects, statistically analyze the defect patterns of protection devices under different abnormal conditions, the impact of different abnormal conditions of protection devices on protection defects, analyze protection defects and the corresponding alarm information and action response information before the defects, carry out full-dimensional operation evaluation, and identify and analyze family defects and vulnerable plug-ins based on the defect failure probability change patterns of various types of equipment and plug-ins at different levels;

[0068] According to the countermeasure plan, combined with the maintenance work ticket, the implementation of the countermeasure plan is automatically analyzed, and a comprehensive analysis and evaluation is conducted on the execution of scheduled inspections and the risk of overdue countermeasure operation;

[0069] By automatically acquiring the ledger files sent by the equipment and the manually imported PMS ledger list, the equipment overdue years are counted in real time, and risk warnings are issued for overdue 220kV and above systems and serious overdue 110kV systems. Rectification plans are formulated and implemented through protection access information.

[0070] Through the data of scheduled inspection time, risk warning is issued for overdue inspection of 110kV and above protection equipment, and rectification plan is formulated, which is supervised and implemented through the data of power outage and protection maintenance of primary equipment; the completion status of special equipment is automatically tracked and statistically analyzed, with a focus on tracking protection.

[0071] This solution first collects basic information, operating data and fault record related information of the equipment. Secondly, when performing data analysis, it conducts protection inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overdue service analysis, protection overdue non-inspection analysis and special maintenance work completion statistical analysis for different secondary equipment. According to the analysis results and evaluation standards, the health status of the equipment is evaluated, so that secondary equipment with risks can be quickly checked out. Then, according to the evaluation results, corresponding maintenance and overhaul strategies are formulated, and the equipment is classified and managed to achieve full-dimensional health evaluation of secondary equipment devices, display the current and historical operating health status of protection devices, analyze the health status of equipment and periodic trend changes, and comprehensively evaluate the health level of secondary devices to provide more mature data support for the implementation of operation risk investigation.

[0072] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A secondary equipment health status assessment method integrating multiple indicators, characterized in that: The following steps are involved: Step 1: Information collection, collecting basic information of the equipment, operating data and related information of fault records; Step 2: Data analysis: Analyze and process the basic information, operation data and fault record data collected in step 1, extract key indicators and parameters to obtain analysis results; Step 3: Status assessment: Based on the analysis results and assessment criteria, the health status of the equipment is assessed to obtain the assessment results. Step 4: Apply the results. According to the evaluation results, formulate corresponding maintenance and repair strategies and classify and manage the equipment. The data analysis includes but is not limited to protection scheduled inspection data analysis, protection defect data analysis, protection countermeasure data analysis, protection overtime service analysis, protection overtime non-inspection analysis and special maintenance work completion statistical analysis.

2. A secondary equipment health status assessment method integrating multiple indicators according to claim 1, characterized in that: The protection inspection data analysis is specifically as follows: Combined with the maintenance work ticket, the system automatically analyzes the equipment scheduled inspection status, analyzes the rectification and implementation of problems found and missed during the scheduled inspection, conducts a comprehensive effectiveness analysis of the specific work items of automatic and manual scheduled inspections, and conducts a comprehensive analysis and evaluation of the execution of scheduled inspections and the operating risks of overdue equipment that has not been inspected.

3. A secondary equipment health status assessment method integrating multiple indicators according to claim 1, characterized in that: The protection defect data analysis is specifically as follows: Conduct multi-dimensional analysis on protection equipment defects, statistically analyze the defect patterns of protection devices under different abnormal conditions, the impact of different abnormal conditions of protection devices on protection defects, analyze protection defects and the corresponding alarm information and action response information before the defects, carry out full-dimensional operation evaluation, combine the defect failure probability change patterns of various types of equipment and various types of plug-ins at different levels, and identify and analyze family defects and vulnerable plug-ins.

4. The method for evaluating the health status of secondary equipment integrating multiple indicators according to claim 1 is characterized in that: The protection countermeasure data analysis is specifically as follows: according to the countermeasure plan, combined with the maintenance work ticket, the countermeasure plan execution status is automatically analyzed, and the execution status of the scheduled inspection and the risk of overdue countermeasure operation are comprehensively analyzed and evaluated.

5. The method for evaluating the health status of secondary equipment integrating multiple indicators according to claim 1 is characterized in that: The protection overtime service analysis is specifically as follows: by automatically obtaining the ledger files sent by the equipment and the manually imported PMS ledger list, real-time rolling statistics of the equipment overtime years are collected, risk warnings are issued for overtime of 220kV and above systems and serious overtime of 110kV systems, rectification plans are formulated, and implementation is supervised through protection access information.

6. The method for evaluating the health status of secondary equipment integrating multiple indicators according to claim 1 is characterized in that: The analysis of overdue protection inspection is specifically as follows: through the regular inspection time data, risk warning is issued for overdue protection inspection of 110kV and above, rectification plan is formulated, and supervision and implementation are carried out through primary equipment power outage and protection maintenance data.

7. The method for evaluating the health status of secondary equipment integrating multiple indicators according to claim 1 is characterized in that: The statistical analysis of the completion of the TUV work is specifically as follows: automatic tracking and statistical analysis of the TUV completion status, with a focus on tracking and protection.

8. The method for evaluating the health status of secondary equipment integrating multiple indicators according to claim 1 is characterized in that: The status assessment includes the following methods: Quantitative evaluation: Evaluate the availability of equipment by counting the types and frequency of equipment defects and quantitative indicators of countermeasure execution; Comprehensive evaluation: A combination of multiple evaluation methods, including but not limited to the analytic hierarchy process, variable weight coefficient method and cloud model evaluation method, is used to conduct a comprehensive evaluation of the equipment status.

9. The method for evaluating the health status of secondary equipment integrating multiple indicators according to claim 1 is characterized in that: The application of the results includes the following methods: Formulate maintenance strategies: Based on the evaluation results, formulate reasonable maintenance plans and strategies to ensure stable and reliable operation of the equipment; Optimize resource allocation: Optimize resource allocation according to the equipment's operating conditions and risk assessment results to improve equipment efficiency and economic benefits; Improve management level: Through the analysis of evaluation results, find out the problems and deficiencies in management, put forward improvement measures and suggestions, and improve management level.

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