Method for evaluating automatic state of water and electricity main equipment

Abstract

The invention provides an automatic state evaluation method for hydropower main equipment, and the method comprehensively considers the operation data, defect data and test data of the equipment at the same time, constructs the state monitoring data of the equipment, derivative data of big data mining, and other characteristic index quantities which are closely related to the health state of the equipment. And an evaluation model and a score weight of a single characteristic index quantity are formed. And an evaluation model is constructed from index quantity-component-equipment category-equipment hierarchically, so that the health value of the whole equipment is formed. The method is composed of information configuration, state evaluation, evaluation result release and diagnosis analysis report, realizes automatic scoring of the state of the hydroelectric main equipment, and improves the accuracy and efficiency of scoring. And through intelligent calculation of the index data and the evaluation standard, the requirement of manual intervention is reduced, and the misjudgment rate is reduced.

Description

Technical Field

[0001] The present invention relates to the field of hydropower industry, and in particular to a method for automatic status evaluation of hydropower main equipment. Background Art

[0002] Existing methods for evaluating the status of hydropower equipment mainly focus on collecting a large amount of operating data to assist professionals in making judgments. However, due to the lack of sufficient intelligent means, these methods cannot automatically evaluate the status of the main equipment, which limits the ability of professionals to quickly discover problems.

[0003] Traditional methods for evaluating the condition of hydropower equipment mainly rely on collecting a large amount of operating data to assist professionals in making judgments. However, these methods have the following limitations: Lack of intelligence: Existing methods usually focus on data collection, but fail to make full use of advanced data analysis technology to achieve automated assessment. The lack of intelligent assessment means makes it impossible to automatically score the status of the main equipment, which limits the ability of professionals to quickly discover problems.

[0004] Complex and diverse equipment: The large number and variety of equipment in a hydropower station poses a great challenge to equipment status assessment. The differences between equipment require that the assessment method be able to adapt to the characteristics of different types of equipment, which increases the complexity of the assessment work.

[0005] Imperfect evaluation system: Current methods often fail to establish a scientific and reasonable evaluation system to guide the evaluation of equipment health status. The lack of clear evaluation indicators, evaluation standards and grading methods leads to strong subjectivity and poor consistency in the evaluation results.

[0006] Serious reliance on manual work: The evaluation of equipment status relies heavily on the experience and intuition of professionals, which is easily affected by personal factors. Manual evaluation is inefficient, especially when facing large-scale equipment, and it is difficult to ensure the timeliness and accuracy of the evaluation.

[0007] High maintenance costs: Due to the lack of effective automated assessment methods, maintenance costs are high, including labor costs and additional costs that may be caused by delayed maintenance.

[0008] Therefore, in order to improve the efficiency and accuracy of evaluation and reduce the workload of professionals, a new technology that can automatically evaluate the status of equipment is urgently needed. This technology should be able to effectively integrate various types of data, analyze using intelligent algorithms, and output reliable evaluation results, thereby helping professionals identify equipment problems more quickly and take appropriate maintenance measures. Summary of the invention

[0009] The main purpose of the present invention is to provide a method for automatic status evaluation of hydropower main equipment, so as to solve the problem that the equipment of hydropower stations is huge in number and variety, and the equipment status evaluation is a complex and difficult problem to achieve.

[0010] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for automatic status evaluation of hydropower main equipment, Step 1: Information configuration, including: Step 1.1 Define the evaluation equipment type, which is used to maintain the equipment type and the corresponding analysis method; Step 1.2 logical device attachment, used to establish the attachment relationship between the evaluation device type and the corresponding logical device; Step 1.3 Maintain the basic evaluation information and establish the evaluation model, including quantitative indicators, defect indicators, appearance inspection indicators, key item indicators, and dimension evaluation indicators; maintain the basic indicator information and set the corresponding evaluation standards and measurement point information; Step 1.4: Establish corresponding evaluation index versions for different equipment types, associate basic evaluation information, and set scoring weights; Step 2: Status evaluation, including: Step 2.1 Define the evaluation cycle and initiate the evaluation process, select the device and corresponding version; Step 2.2 associates the evaluation criteria with the measurement point data constructed by the data object, and automatically obtains the online monitoring data of the equipment; through the quantitative index calculation, the data information of the equipment measurement points within the evaluation period is queried, the index value is calculated according to the evaluation criteria and the scoring weight, and compared with the standard value set in the evaluation criteria, and the score of the evaluation criteria is automatically calculated; Step 2.3: Score the equipment components according to the scores of the evaluation criteria to obtain the equipment status; Step 2.4 Classify different states to obtain assessment levels to provide guidance and suggestions for inspection and maintenance.

[0011] In the preferred scheme, the sub-item scoring formula is: , where s is the sum of the sub-item scores, Represents each score, Represents the sub-item weight; And, the main equipment component scoring formula: ,in is the sum of the scores of the main devices, The device system weight.

[0012] In the preferred solution, the health of the equipment is determined according to the characteristic status parameters of the equipment, and is divided into normal state, caution state, abnormal state and dangerous state; The fuzzy membership function is used to determine the health of the equipment. The equipment health formula is: (1); in Indicates status K The membership degree of x is the score value, ck Status k The center point of is the shape parameter.

[0013] In the preferred scheme, the unit health standards are formulated as follows: Normal status: 80-100 points, all indicators are excellent and the operation status is excellent; Attention status: 70-79 points, some non-important indicators performed low, and the overall operating status remained good; Abnormal status: 60 points to 69 points, some indicators are abnormal and the operating status is poor; Dangerous status: below 60 points, important indicators have serious hidden dangers and it is not recommended to continue operation.

[0014] In a preferred embodiment, the standard score range of health level supports user self-configuration.

[0015] In the preferred embodiment, it further comprises: Step 3: Publish the evaluation results. Use visual charts to display the evaluation scores and equipment status for different periods and dimensions.

[0016] In the preferred embodiment, it further comprises: Step 4: Diagnostic analysis report: analyze the evaluation results and indicators, and use charts to show the trends and comparisons of indicators, as well as the overall trends and mutual comparisons of each evaluation equipment, to provide support for production management.

[0017] In the preferred solution, the evaluation results and indicator trends are analyzed and the trend and comparison of indicators are displayed in the form of charts. The formula is expressed as follows: (2); in, represents the grey relational degree of the jth index, For the The value of the jth indicator in the sample, j is the value of the jth indicator in the reference sequence, is the maximum value, is the minimum value.

[0018] The present invention provides a method for automatic status evaluation of hydropower main equipment. The present invention overcomes the shortcomings of the prior art and realizes automatic scoring of hydropower main equipment. By calculating the index data and standards, the status of hydropower main equipment can be intelligently and automatically scored to identify the health value of the equipment. A classification and scoring calculation method for automatically evaluating the status of hydropower main equipment is defined in accordance with the hydropower industry specifications. Evaluation indicators and evaluation standards for evaluating the status of hydropower main equipment are defined in accordance with the hydropower industry specifications.

[0019] The automatic scoring of the status of main hydropower equipment has been realized, which improves the accuracy and efficiency of the scoring.

[0020] Through intelligent calculation of indicator data and evaluation criteria, the need for human intervention is reduced and the misjudgment rate is lowered. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below in conjunction with the accompanying drawings and embodiments: Figure 1 is a flow chart of automatic status evaluation of the present invention; Figure 2 It is a flow chart of the overall evaluation information configuration of the present invention. DETAILED DESCRIPTION

[0022] Example 1 like Figure 1~2 As shown in the figure, a method for automatic status evaluation of hydropower main equipment is proposed. At the same time, the equipment's operating data, defect data, and test data are comprehensively considered to construct characteristic indicators closely related to its health status, such as equipment status monitoring data and derivative data from big data mining, and form an evaluation model and score weight for a single characteristic indicator. Then, an evaluation model is constructed from the hierarchical structure of "indicator-component-equipment category-equipment" to form the overall equipment health value. The method consists of information configuration, status evaluation, evaluation result release, and diagnostic analysis report. The method includes: Step 1: Information configuration, including: Step 1.1 Define the evaluation equipment type, which is used to maintain the equipment type and the corresponding analysis method; Step 1.2 logical device attachment, used to establish the attachment relationship between the evaluation device type and the corresponding logical device; Step 1.3 Maintain the basic evaluation information and establish the evaluation model, including quantitative indicators, defect indicators, appearance inspection indicators, key item indicators, and dimension evaluation indicators; maintain the basic indicator information and set the corresponding evaluation standards and measurement point information; Step 1.4: Establish corresponding evaluation index versions for different equipment types, associate basic evaluation information, and set scoring weights; Step 2: Status evaluation, including: Step 2.1 Define the evaluation cycle and initiate the evaluation process, select the device and corresponding version; Step 2.2 associates the evaluation criteria with the measurement point data constructed by the data object, and automatically obtains the online monitoring data of the equipment; through the quantitative index calculation, the data information of the equipment measurement points within the evaluation period is queried, the index value is calculated according to the evaluation criteria and the scoring weight, and compared with the standard value set in the evaluation criteria, and the score of the evaluation criteria is automatically calculated; Step 2.3: Score the equipment components according to the scores of the evaluation criteria to obtain the equipment status; Step 2.4 Classify different states to obtain assessment levels to provide guidance and suggestions for inspection and maintenance.

[0023] In the preferred scheme, the sub-item scoring formula is: , where s is the sum of the sub-item scores, Represents each score, Represents the sub-item weight; The formula is used to calculate the weighted score for each sub-item. The corresponding weight Multiply and sum to get the total score of the equipment component s .

[0024] And, the main equipment component scoring formula: ,in is the sum of the scores of the main devices, The device system weight.

[0025] The formula is used to calculate the final score of the master device. The corresponding weight Multiply and sum to get the total score of the entire master device S .

[0026] Example 2 Further illustrate with reference to Example 1, Figure 1-2 As shown, the health status of the equipment is determined according to the characteristic status parameters of the equipment, which are divided into normal state, caution state, abnormal state and dangerous state; The fuzzy membership function is used to determine the health of the equipment. The equipment health formula is: (1); in Indicates status K The membership degree of x is the score value, ck Status k The center point of is the shape parameter. Used to determine the score xThe degree of membership in different states, that is, the probability of the device being in a certain state, helps to more accurately classify the device status level.

[0027] This formula is used to calculate the score x For status k Membership By adjusting the shape parameters β and the state center ck , which can flexibly control the division of equipment status levels.

[0028] In the preferred scheme, the unit health standards are formulated as follows: Normal status: 80-100 points, all indicators are excellent and the operation status is excellent; Attention status: 70-79 points, some non-important indicators performed low, and the overall operating status remained good; Abnormal status: 60 points to 69 points, some indicators are abnormal and the operating status is poor; Dangerous status: below 60 points, important indicators have serious hidden dangers and it is not recommended to continue operation.

[0029] In a preferred embodiment, the standard score range of health level supports user self-configuration.

[0030] In the preferred embodiment, it further comprises: Step 3: Publish the evaluation results. Use visual charts to display the evaluation scores and equipment status for different periods and dimensions.

[0031] In the preferred embodiment, it further comprises: Step 4: Diagnostic analysis report: analyze the evaluation results and indicators, and use charts to show the trends and comparisons of indicators, as well as the overall trends and mutual comparisons of each evaluation equipment, to provide support for production management.

[0032] In the preferred solution, the evaluation results and indicator trends are analyzed and the trend and comparison of indicators are displayed in the form of charts. The formula is expressed as follows: (2); in, represents the grey relational degree of the jth index, For the The value of the jth indicator in the sample, j is the value of the jth indicator in the reference sequence, is the maximum value, is the minimum value.

[0033] Used to calculate the similarity between different indicators and reference sequences. This indicator can help us understand which indicators have a greater impact on the status of the device, so as to better evaluate the overall condition of the device.

[0034] The above embodiments are only preferred technical solutions of the present invention and should not be regarded as limiting the present invention. The protection scope of the present invention shall be the technical solutions recorded in the claims, including equivalent replacement solutions of the technical features in the technical solutions 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 method for automatic status evaluation of hydropower main equipment, characterized by: Step 1: Information configuration, including: Step 1.1 Define the evaluation equipment type, which is used to maintain the equipment type and the corresponding analysis method; Step 1.2 logical device attachment, used to establish the attachment relationship between the evaluation device type and the corresponding logical device; Step 1.3 Maintain the basic evaluation information and establish the evaluation model, including quantitative indicators, defect indicators, appearance inspection indicators, key item indicators, and dimension evaluation indicators; maintain the basic indicator information and set the corresponding evaluation standards and measurement point information; Step 1.4: Establish corresponding evaluation index versions for different equipment types, associate basic evaluation information, and set scoring weights; Step 2: Status evaluation, including: Step 2.1 Define the evaluation cycle and initiate the evaluation process, select the device and corresponding version; Step 2.2 associates the evaluation criteria with the measurement point data constructed by the data object, and automatically obtains the online monitoring data of the equipment; through the quantitative index calculation, the data information of the equipment measurement points within the evaluation period is queried, the index value is calculated according to the evaluation criteria and the scoring weight, and compared with the standard value set in the evaluation criteria, and the score of the evaluation criteria is automatically calculated; Step 2.3: Score the equipment components according to the scores of the evaluation criteria to obtain the equipment status; Step 2.4 Classify different states to obtain assessment levels to provide guidance and suggestions for inspection and maintenance.

2. According to claim 1, a method for automatic status evaluation of hydropower main equipment is characterized by: Scoring formula: , where s is the sum of the sub-item scores, Represents each score, Represents the sub-item weight; And, the main equipment component scoring formula: ,in is the sum of the scores of the main devices, The system weight of the device.

3. The method for automatic status evaluation of hydropower main equipment according to claim 1 is characterized by: The health status of the equipment is determined based on the characteristic status parameters of the equipment, which are divided into normal status, caution status, abnormal status and dangerous status; The fuzzy membership function is used to determine the health of the equipment. The equipment health formula is: （1）； in Indicates status K The membership degree of x is the score value, ck Status k The center point of is the shape parameter.

4. The method for automatic status evaluation of hydropower main equipment according to claim 3 is characterized by: The unit health standards are formulated as follows: Normal status: 80-100 points, all indicators are excellent and the operation status is excellent; Attention status: 70-79 points, some non-important indicators performed low, and the overall operating status remained good; Abnormal status: 60 points to 69 points, some indicators are abnormal and the operating status is poor; Dangerous status: below 60 points, important indicators have serious hidden dangers and it is not recommended to continue operation.

5. The method for automatic status evaluation of hydropower main equipment according to claim 3 is characterized by: The health level standard score range supports user self-configuration.

6. The method for automatic status evaluation of hydropower main equipment according to claim 1 is characterized by: further include: Step 3: Publish the evaluation results. Use visual charts to display the evaluation scores and equipment status for different periods and dimensions.

7. The method for automatic status evaluation of hydropower main equipment according to claim 1 is characterized by: further include: Step 4: Diagnostic analysis report: analyze the evaluation results and indicators, and use charts to show the trends and comparisons of indicators, as well as the overall trends and mutual comparisons of each evaluation equipment, to provide support for production management.

8. The method for automatic status evaluation of hydropower main equipment according to claim 7 is characterized by: Analyze the evaluation results and indicator trends, and use charts to display the trends and comparisons of indicators. The formula is: （2）； in, represents the grey relational degree of the jth index, For the The value of the jth indicator in the sample, j is the value of the jth indicator in the reference sequence, is the maximum value, is the minimum value.

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