Quantitative scoring method for state of hydroelectric equipment
By combining monitoring data and defect data in hydropower equipment evaluation, dynamically adjusting the scoring weights is solved, and the problem of failure to effectively consider defect data in the existing technology is solved, achieving a more accurate and real-time equipment health status assessment.
Patent Information
- Application Number
- CN202411801923.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-02-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
When evaluating the health status of hydropower equipment, the prior art fails to effectively consider the impact of equipment defect data on the health status, resulting in inaccurate assessment.
A quantitative scoring method is adopted to collect monitoring data and defect data of the equipment, calculate index characteristic values and defect indicators, dynamically adjust the scoring weights, and then evaluate the health status of hydropower equipment.
It improves the accuracy and real-time performance of hydropower equipment status assessment, enhances the effectiveness of the safety assessment system, and helps prevent equipment failures and accidents.
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Abstract
Description
Technical Field
[0001] The invention belongs to a method for evaluating the health status of hydropower station equipment, and in particular relates to a quantitative scoring method for the status of hydropower equipment. Background Art
[0002] Hydropower equipment is an important part of hydropower generation. In order to meet the growing demand for electricity in the process of social and economic development, the average annual power generation time of hydropower enterprises has been extended and the maintenance time has been shortened, which has led to an increase in the probability of accidents. Therefore, the health status assessment of hydropower station equipment plays an important role in the power industry.
[0003] At present, the main evaluation methods for hydropower equipment are divided into two categories. One is to predict based on the historical operation data of hydropower equipment through models, and the other is to preset evaluation standards based on the operation data of key components of hydropower equipment to establish evaluation priorities and rules. However, both of the above methods are based on the operation data of hydropower equipment and do not consider the impact of hydropower equipment defect data on hydropower equipment. Summary of the invention
[0004] The technical problem of the present invention is: based on the operating data of the hydropower equipment, the impact of defect data on the health of the main equipment is considered, the operating data and defect data are weighted, the weight of the hydropower equipment evaluation is adjusted, and the health status of the hydropower equipment is evaluated by calculation.
[0005] The technical solution of the present invention is a quantitative scoring method for the status of hydropower equipment, comprising the following steps: S1. Create a status evaluation cycle and monitoring equipment for hydropower main equipment; S2. Collect monitoring data and defect data of the equipment according to the monitoring equipment; S3. Calculate the characteristic value of the indicator based on the monitoring data, and then obtain the evaluation standard through the indicator scoring rule, and calculate the defect indicator based on the defect data and deduction rules; S4. Collect the original weights of the equipment and adjust the weight items and weight values of the monitoring equipment according to the scoring criteria, evaluation standards and defect indicators; S5. Divide the monitoring equipment into different levels, and score different levels according to weight items and weight values, thereby obtaining the scores of the monitoring equipment; S6. Classify the evaluation status of the monitoring equipment according to the score of the monitoring equipment.
[0006] Preferably, in step S2, the defect data includes monitoring the equipment by scanning the equipment through visual inspection, taking images of the equipment surface to identify defects in the monitoring equipment or components, and collecting data on legacy defects, historical defects, repeated defects, and defects of the same type of equipment.
[0007] Preferably, defect detection also includes providing an ultrasonic detection device on the detection equipment, using high-frequency sound waves to penetrate the material, and analyzing these echoes to determine the location and size of the defects, which is used to detect defects inside the equipment.
[0008] Furthermore, in step S3, the evaluation criteria also include calculating the expert evaluation weight value after the experts score the monitoring equipment on a percentage basis according to the evaluation criteria, and then adjusting the evaluation criteria score.
[0009] Preferably, step S4 further includes querying the original weight of the monitoring equipment, weighting and adjusting the evaluation weight according to the number of measurement point data or the number of defects of the scoring item, and obtaining the latest weight through normalization processing, and the calculation formula is: ; In the formula, represents the adjusted weight, represents the original weight, represents the minimum weight, Indicates the maximum weight; Furthermore, in step S5, the monitoring equipment is hierarchically divided, including dividing the monitoring equipment into equipment types, sub-equipment types, key components and evaluation components.
[0010] Preferably, step S5 includes the following sub-steps: 1) Summarize the sub-item scores of all levels, and the calculation formula is: ; In the formula, s is the sum of the sub-item scores, a i represents the score of the i-th evaluation item, h represents the weight of the i-th evaluation item, and i represents the counting unit; 2) Add up all sub-item scores to get the total score of the monitoring equipment. The calculation formula is: ; In the formula, Indicates the overall score of the monitoring device. represents the score of the i-th level, Indicates the weight of each level of the device.
[0011] Furthermore, in step S6, the evaluation status of the monitoring equipment is divided according to the score of the monitoring equipment, including dividing the evaluation scores of equipment components, subcomponents and projects and the corresponding scoring levels from high to low: If the evaluation score is: 80 to 100 points, the monitoring equipment is in normal condition; If the evaluation score is: 70 to 79 points, the monitoring device is in the attention state; If the evaluation score is: 60 to 69 points, the monitoring device is in an abnormal state; If the assessment score is below 60, the monitoring equipment is in a dangerous state.
[0012] Compared with the prior art, the beneficial effects of the present invention include: 1) The present invention uses defect detection methods and equipment to collect defect data and comprehensively consider the impact of historical defects, repeated defects and defects of the same type of equipment, dynamically adjust the scoring weight and defect indicator weight of the detection equipment, improve the effectiveness of the safety assessment system, and improve the accuracy and real-time performance of the assessment.
[0013] 2) The present invention comprehensively considers the operation data, defect data and test data of the equipment, constructs a safety assessment system for hydropower equipment, improves the accuracy of equipment status assessment, and is beneficial to equipment status assessment and preventive maintenance. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0015] Figure 1 This is a flow chart of a method for automatic quantitative scoring of hydropower main equipment according to an embodiment of the present invention; Figure 2 An evaluation process interface diagram of a hydropower equipment is created for an embodiment of the present invention; Figure 3 This is a diagram of the scoring interface for evaluating hydropower equipment according to an embodiment of the present invention; Figure 4 A schematic diagram of evaluation and scoring results after hierarchical division of hydropower equipment according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the scoring results of the hydropower equipment according to the embodiment of the present invention; DETAILED DESCRIPTION like Figure 1 As shown, a quantitative scoring method for the status of hydropower equipment includes the following steps: S1. Create a status evaluation cycle and monitoring equipment for hydropower main equipment; Taking the hydroelectric generator set as an example, the evaluation process of creating hydropower equipment is as follows: Figure 2 shown.
[0016] S2. Collect monitoring data and defect data of the equipment according to the monitoring equipment; In step S2, defect data includes monitoring equipment by visual inspection scanning, taking images of the equipment surface to identify defects in the monitoring equipment or components, and collecting equipment legacy defects, historical defects, repeated defects and defect data of the same type of equipment.
[0017] Defect detection also includes installing ultrasonic detection equipment on the detection equipment, which uses high-frequency sound waves to penetrate the material. Analysis of these echoes can determine the location and size of the defects and is used to detect defects inside the equipment.
[0018] S3. Calculate the characteristic value of the indicator based on the monitoring data, and then obtain the evaluation standard through the indicator scoring rule, and calculate the defect indicator based on the defect data and deduction rules; like Figure 3 As shown, in step S3, the evaluation criteria also include calculating the expert evaluation weight value after the experts score the monitoring equipment on a percentage basis according to the evaluation criteria, and then adjusting the evaluation criteria score.
[0019] S4. Collect the original weights of the equipment and adjust the weight items and weight values of the monitoring equipment according to the scoring criteria, evaluation standards and defect indicators; Step S4 also includes querying the original weight of the monitoring equipment, weighting and adjusting the evaluation weight according to the number of measurement point data or the number of defects of the scoring item, and obtaining the latest weight through normalization processing. The calculation formula is: ; In the formula, represents the adjusted weight, represents the original weight, represents the minimum weight, Indicates the maximum weight; S5. Divide the monitoring equipment into different levels, and score different levels according to weight items and weight values, thereby obtaining the scores of the monitoring equipment; like Figure 4 As shown, step S5 includes the following sub-steps: 1) Summarize the sub-item scores of all levels, and the calculation formula is: ; In the formula, s is the sum of the sub-item scores, a i Representative i The score of the evaluation item, h represents the i The weight of the evaluation items, i Indicates the unit of count; 2) Add up all sub-item scores to get the total score of the monitoring equipment. The calculation formula is: ; In the formula, Indicates the overall score of the monitoring device. Indicates i Level scores, Indicates the weight of each level of the device.
[0020] In step S5, the monitoring equipment is hierarchically divided, including dividing the monitoring equipment into equipment type, sub-equipment type, key components and evaluation components.
[0021] S6. Classify the evaluation status of the monitoring equipment according to the score of the monitoring equipment.
[0022] like Figure 5 As shown, in step S6, the evaluation status of the monitoring equipment is divided according to the score of the monitoring equipment, including dividing the evaluation scores of equipment components, subcomponents and projects and the corresponding scoring levels from high to low: If the evaluation score is: 80 to 100 points, the monitoring equipment is in normal condition; If the evaluation score is: 70 to 79 points, the monitoring device is in the attention state; If the evaluation score is: 60 to 69 points, the monitoring device is in an abnormal state; If the assessment score is below 60, the monitoring equipment is in a dangerous state.
[0023] A quantitative scoring system for the status of hydropower main equipment mainly includes a process module, an evaluation module, a calculation module, an audit module and a display module.
[0024] Process module: used to create the inspection process, select the inspection equipment type, inspection cycle and inspection process personnel; Evaluation module: used to create, edit and delete evaluation criteria, indicator types, sub-item weights and sub-item scores based on evaluation criteria; Calculation module: used to calculate the characteristic value of indicators based on monitoring data, obtain the evaluation standard through the indicator scoring rules, and calculate the defect indicators based on the defect data and deduction rules; automatically calculate the weight items and weight values of the monitoring equipment based on the scoring criteria, evaluation standards and defect indicators; Audit module: used for scoring, auditing and maintenance decision-makers to score and audit the inspection process.
[0025] Display module: used to visually display the evaluation details of the testing equipment in the form of charts, including evaluation scores, status evaluation reports and status evaluation suggestions, and to grade the status of the testing equipment according to the scores.
[0026] In order to make the technical personnel in the technical field better understand the scheme of the present invention, the above-mentioned embodiments are only the preferred technical schemes of the present invention and should not be regarded as limitations of the present invention. The protection scope of the present invention should be the technical schemes recorded in the claims, including the equivalent replacement schemes of the technical features in the technical schemes recorded in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present invention.
Claims
1. A quantitative scoring method for the status of hydropower equipment, characterized in that: The following steps are involved: S1. Create a status evaluation cycle and monitoring equipment for hydropower main equipment; S2. Collect monitoring data and defect data of the equipment according to the monitoring equipment; S3. Calculate the indicator characteristic value based on the monitoring data, and then obtain the evaluation standard through the indicator scoring rule, and calculate the defect indicator based on the defect data and deduction rules; S4. Collect the original weights of the equipment and adjust the weight items and weight values of the monitoring equipment according to the scoring criteria, evaluation standards and defect indicators; S5. Divide the monitoring equipment into different levels, and score different levels according to weight items and weight values, thereby obtaining the scores of the monitoring equipment; S6. Classify the evaluation status of the monitoring equipment according to the score of the monitoring equipment.
2. A quantitative scoring method for the status of hydropower equipment according to claim 1, characterized in that: In step S2, the defect data includes monitoring equipment by visual inspection scanning, taking images of the equipment surface to identify defects in the monitoring equipment or components, and collecting equipment legacy defects, historical defects, repeated defects and defect data of the same type of equipment.
3. A quantitative scoring method for the status of hydropower equipment according to claim 1, characterized in that: In step S3, the evaluation criteria also include calculating the expert evaluation weight value after the experts score the monitoring equipment on a percentage basis according to the evaluation criteria, and then adjusting the evaluation criteria score.
4. A quantitative scoring method for the status of hydropower equipment according to claim 1, characterized in that: The step S4 also includes querying the original weight of the monitoring equipment, weighting and adjusting the evaluation weight according to the number of measurement point data or the number of defects of the scoring item, and obtaining the latest weight through normalization processing. The calculation formula is: ; In the formula, represents the adjusted weight, represents the original weight, represents the minimum weight, Indicates the maximum weight.
5. A quantitative scoring method for the status of hydropower equipment according to claim 1, characterized in that: In step S5, the monitoring equipment is hierarchically divided, including dividing the monitoring equipment into equipment type, sub-equipment type, key components and evaluation components.
6. A quantitative scoring method for the status of hydropower equipment according to claim 4, characterized in that: The step S5 includes the following sub-steps: 1) Summarize the sub-item scores of all levels, and the calculation formula is: ; In the formula, s is the sum of the sub-item scores, a i represents the score of the i-th evaluation item, h represents the weight of the i-th evaluation item, and i represents the counting unit; 2) Add up all sub-item scores to get the total score of the monitoring equipment. The calculation formula is: ; In the formula, Indicates the overall score of the monitoring device. represents the score of the i-th level, Indicates the weight of each level of the device.
7. A quantitative scoring method for the status of hydropower equipment according to claim 1, characterized in that: In step S6, the evaluation status of the monitoring equipment is divided according to the score of the monitoring equipment, including dividing the evaluation scores of equipment components, subcomponents and items and the corresponding scoring levels from high to low: If the evaluation score is: 80 to 100 points, the monitoring equipment is in normal condition; If the evaluation score is: 70 to 79 points, the monitoring device is in the attention state; If the evaluation score is: 60 to 69 points, the monitoring device is in an abnormal state; If the assessment score is below 60, the monitoring equipment is in a dangerous state.
Citation Information
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