Calculation method for recommended maintenance grade of hydropower main equipment

Abstract

The invention discloses a method for calculating a recommended maintenance grade of hydropower main equipment, and relates to the field of industrial internet platforms, equipment maintenance and hydropower equipment. The method aims at solving the problems that an existing maintenance decision lacks long-term planning and special project requirements are not considered sufficiently, equipment maintenance grades are intelligently recommended by integrating multiple dimensions, and according to equipment state evaluation data, equipment states are matched through score state evaluation and dimension state evaluation; secondly, in combination with a rolling maintenance plan, equipment maintenance interval duration and associated items, a recommended maintenance level is automatically determined by utilizing a rule engine; and finally, calculating the equipment maintenance period based on the maintenance grade and the extended straight line construction period of the equipment associated project. The automation and intelligence of the maintenance decision of the hydropower main equipment are realized, and the scientificity and accuracy of the maintenance decision are improved; the application of the method can significantly improve the maintenance efficiency and effect of the hydroelectric equipment, ensures the long-term stable operation of the equipment, reduces faults and downtime caused by improper maintenance, and has important practical value.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower equipment maintenance, and in particular to a method for calculating a recommended maintenance grade of hydropower main equipment. Background Art

[0002] In the fields of industrial Internet platforms, equipment maintenance, and hydropower equipment, equipment maintenance decisions have always been an important part of ensuring equipment operation safety and improving equipment life and efficiency. Traditional maintenance methods often rely on manual experience and regular maintenance plans, which is not only inefficient, but also difficult to accurately reflect the real-time status of the equipment, which can easily lead to waste of resources or insufficient maintenance.

[0003] In recent years, with the continuous development of intelligent technology, advanced concepts such as condition-based maintenance (CBM) and reliability-centered maintenance (RCM) have gradually been applied to the maintenance decision-making of power grid equipment.

[0004] For example, CN118171929A discloses an intelligent decision-making method and device for status maintenance of power grid equipment based on the RCM concept; the method includes: obtaining equipment information, the equipment information includes a fault tree, a maintenance strategy library, a fault diagnosis model, an equipment importance level, and various state quantities; diagnosing faults of the equipment and generating fault diagnosis results based on the various state quantities, fault diagnosis models and fault trees; performing a fault risk assessment on the equipment based on the fault diagnosis results and generating a fault risk assessment result, the fault risk assessment result including the overall fault risk value of the equipment; performing a reliability assessment on the equipment based on the fault risk assessment results and the overall deduction value of the equipment and generating a reliability assessment result, the reliability assessment result including the equipment reliability level; matching the maintenance decision for the equipment from the maintenance strategy library based on the fault diagnosis results, the reliability assessment results and the equipment importance level; it is conducive to realizing lean maintenance of equipment; this method improves the intelligence level of maintenance decision-making to a certain extent, but still has certain limitations.

[0005] Specifically, existing maintenance decision-making methods often only focus on decisions for the current or next maintenance cycle, and lack the ability to make overall plans for equipment from a long-term perspective. This short-sighted decision-making approach may lead to disconnected decisions between different maintenance cycles, lack of coherence and systematicness. In addition, equipment maintenance sometimes requires special maintenance, modification or upgrades for specific problems or needs of the equipment, that is, special projects. However, existing maintenance decision-making methods often do not fully consider the needs of these special projects, resulting in the neglect of their importance and urgency in the decision-making process, which may affect the progress and effectiveness of the project.

[0006] Therefore, although the existing technology has introduced the concept of intelligence in the maintenance decision-making of power grid equipment and has achieved certain results, there are still problems that need to be solved. These problems not only limit the scientificity and accuracy of maintenance decisions, but also affect the operating efficiency and safety of equipment. Therefore, it is necessary to further research and develop more advanced and intelligent maintenance decision-making methods for hydropower main equipment to overcome the shortcomings of existing technologies, improve the intelligence and automation level of maintenance decisions, and realize long-term planning and system management of equipment. Summary of the invention

[0007] The technical problem to be solved by the present invention is to provide a method for calculating the recommended maintenance level of hydropower main equipment, so as to solve the technical problems existing in the existing field of hydropower equipment maintenance that maintenance decisions lack long-term planning, consistency and systematicness, and do not fully consider the needs of special projects.

[0008] In order to solve the above technical problems, the technical solution adopted by the present invention is: The present invention provides a method for calculating the recommended maintenance level of hydropower main equipment, which has the following beneficial effects: 1. The present invention solves the technical problems existing in the existing hydropower equipment maintenance field, such as the lack of long-term planning, consistency and systematization of maintenance decisions, and the failure to fully consider the needs of special projects; 2. The present invention comprehensively considers multiple aspects such as equipment status evaluation, rolling maintenance plan, equipment maintenance interval length, and equipment related projects to determine the maintenance level, thus achieving comprehensive and automated decision-making on the maintenance level of hydropower main equipment; 3. The present invention combines the industrial Internet platform to achieve the connection with various tool systems, and improves the intelligence and automation level of maintenance decision-making; 4. The present invention passes the equipment and the calculated maintenance interval and other parameters to the rule engine through the rule engine, evaluates these parameters according to the rules in the maintenance guide, and determines the corresponding maintenance level, thereby improving the accuracy and scientificity of decision-making; 5. The present invention solves the problem of insufficient long-term planning capabilities. Existing maintenance decisions often lack the ability to make overall plans for equipment from a long-term perspective, resulting in disconnected decisions between different maintenance cycles. This method solves this problem through rolling maintenance plans and integrated decisions from multiple directions. 6. The present invention solves the problem of neglected special project requirements. Existing maintenance decision-making methods often fail to fully consider the requirements of special projects, resulting in the project being unable to obtain necessary resource support in a timely manner. This method ensures that special projects receive sufficient attention in maintenance decisions by considering equipment-related projects. 7. The present invention realizes the automated decision-making on the maintenance level of hydropower main equipment by combining the industrial Internet platform and the rule engine, improves the efficiency and accuracy of decision-making, and also improves the intelligence and automation level of maintenance decision-making; 8. The present invention ensures the comprehensiveness and consistency of maintenance decisions by comprehensively considering decision factors in multiple directions, and avoids disconnection between decisions in different maintenance cycles; 9. The present invention optimizes the configuration of maintenance resources by accurately determining the maintenance level and maintenance period, ensures that special projects can obtain necessary resource support in a timely manner, and improves the progress and effect of the project; 10. The present invention also has self-learning and optimization capabilities, and can continuously adjust and optimize the algorithms and parameters in the rule engine according to actual maintenance results and feedback, so that maintenance decisions are closer to actual conditions, further improving maintenance efficiency and equipment reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The present invention will be further described below in conjunction with the accompanying drawings and implementation examples: Figure 1 A schematic diagram of a process for obtaining recommended maintenance levels corresponding to various rules of the present invention; Figure 2 A flowchart of obtaining recommended maintenance levels corresponding to various rules according to the present invention. DETAILED DESCRIPTION

[0010] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments: Example 1 like Figure 1~2 As shown, a method for calculating the recommended maintenance level of hydropower main equipment includes the following steps: Step 1: Obtain the recommended maintenance levels corresponding to various rules; Step 2: Obtain the recommended maintenance level of the equipment, and take the highest maintenance level among the three recommended maintenance levels obtained by the rolling maintenance plan, equipment maintenance interval, and equipment-related items as the recommended maintenance level of the equipment; Step 3: Obtain the maintenance period of the equipment, and determine the maintenance period based on the maintenance level period corresponding to the equipment type and the extended linear period of the equipment-related items.

[0011] In a preferred solution, the specific steps of Step 1 for obtaining the recommended maintenance levels corresponding to various rules include: Step 1.1: Query the device status evaluation data according to the device, and match the device status according to the score status evaluation and / or the score of the dimension status evaluation; Step 1.2: Match the equipment maintenance level according to the rolling maintenance plan; Step 1.3: Obtain the recommended maintenance level based on the equipment maintenance interval. The equipment maintenance interval is calculated based on the equipment's historical maintenance data and the current year, and the maintenance level is determined through rule engine evaluation; Step 1.4: Obtain the recommended maintenance level of the project based on the equipment-related items, where the equipment-related items include standard items and special items. Take the highest minimum maintenance level among the selected maintenance items as the recommended maintenance level of the project.

[0012] In the preferred solution, in Step 1.1, the matching rules of the score status evaluation and the dimension status evaluation specifically include: Step 1.1.1: Score status evaluation, score ≥ 80, the equipment is in normal status; 80>score ≥ 70, the equipment is in caution status; 70>score ≥ 60, the equipment is in abnormal status; 60>score, the equipment is in danger status; Step 1.1.2: Dimension status evaluation, A, the equipment is in normal state; B, the equipment is in attention state; C, the equipment is in abnormal state; D, the equipment is in dangerous state.

[0013] In the preferred solution, in Step 1.3, the calculation formula for the equipment maintenance interval is: Y=Y1+N, where Y1 is the maintenance year corresponding to the maintenance level in the historical maintenance data, N is the maintenance interval, and Y is the next maintenance year; the rule engine evaluates the equipment and the calculated maintenance interval according to the rules in the imported maintenance guidelines, and determines the corresponding maintenance level.

[0014] In the preferred scheme, in Step 1.4, determining the recommended maintenance level of the project also includes: taking the highest and lowest maintenance levels among the maintenance items selected for the equipment as the recommended maintenance level of the project, and calculating it through the formula L=max(L1), where L is the recommended maintenance level of the equipment, and L1 is the minimum maintenance level of the maintenance item.

[0015] In the preferred scheme, obtaining the maintenance period of the equipment in Step 3 also includes: determining the maintenance period based on the maintenance level period corresponding to the equipment type and the extended linear period of the equipment-related items, and the calculation formula is: D=D1+D2, wherein D1 is the period corresponding to the maintenance level, D2 is the extended linear period of the equipment-related items, and D is the maintenance period of the equipment.

[0016] In the preferred scheme, the method is implemented through the industrial Internet platform, and data intercommunication is achieved with various tool systems. By acquiring the status evaluation data of the equipment and combining it with tools such as rule engines, real-time monitoring, data collection, intelligent analysis and automatic recommendation of equipment maintenance level and maintenance period of hydropower equipment can be realized.

[0017] In a preferred solution, the method further includes continuously accumulating and enriching the knowledge base through historical data, successful cases, expert experience, etc. in the maintenance decision-making process, and applying the accumulated knowledge to the generation and optimization of maintenance decision-making plans.

[0018] Example 2 In another preferred embodiment, based on Example 1, refer to Figure 1~2 This embodiment describes in detail a specific process of a method for calculating the recommended maintenance level of hydropower main equipment: 1. Obtain the recommended maintenance levels corresponding to various rules 1.1. Query device status evaluation data based on the device First, the system synchronizes the device evaluation data of the status evaluation. The device status evaluation is divided into score status evaluation and dimension status evaluation according to the device type. The score status evaluation determines the status of the device based on the comprehensive score of the device. The specific rules are as follows: If the score is ≥80, the device is in normal condition; 80>score≥70, the device is in the attention state; 70>score≥60, the device is in abnormal state; If the score is less than 60, the equipment is in a dangerous state.

[0019] Dimension status evaluation determines the status of the equipment based on the ratings of each key dimension of the equipment (such as temperature, pressure, vibration, etc.). The specific rules are as follows: The dimension status evaluation is A, and the equipment is in normal status; The dimension status evaluation is B, and the equipment is in the attention state; The dimension status evaluation is C, and the equipment is in an abnormal state; The dimension status evaluation is D, and the equipment is in a dangerous state.

[0020] 1.2. Match equipment maintenance level according to rolling maintenance plan The system matches the corresponding equipment with the maintenance level of the current year through the imported rolling maintenance plan (including information such as maintenance equipment, maintenance year, maintenance level, etc.).

[0021] 1.3. Obtain the recommended maintenance level based on the equipment maintenance interval The system queries the historical maintenance data of the equipment, including the actual equipment maintenance records and the historical maintenance plans accumulated in the system; it calculates the maintenance interval duration based on the historical data and the current year, and then calls the rule engine, passing the equipment and the calculated maintenance interval duration as input parameters to the rule engine; the rule engine evaluates these parameters based on the imported maintenance guidelines (including equipment type, maintenance level, maintenance interval and downtime), and determines the corresponding maintenance level.

[0022] 1.4. Obtain the recommended maintenance level of the project based on the equipment-related projects The system selects maintenance items based on the equipment. The maintenance items are maintained through the maintenance item library and are divided into standard items and special items. The system takes the highest minimum maintenance level among the maintenance items selected by the equipment as the recommended maintenance level for the project.

[0023] 2. Obtain the recommended maintenance level of the equipment The system takes the highest recommended maintenance level among the three recommended maintenance levels derived from the rolling maintenance plan, equipment maintenance interval duration, and equipment-related items as the recommended maintenance level for the equipment.

[0024] 3. Obtain the maintenance period of the equipment After determining the recommended maintenance level of the equipment, the system needs to calculate the maintenance period of the equipment; this maintenance period is determined based on the maintenance level period corresponding to the equipment type and the extended linear period of the equipment-related projects; the period calculation formula is: D = D1 + D2, where D1 is the period corresponding to the maintenance level, D2 is the extended linear period of the equipment-related projects, and D is the maintenance period of the equipment.

[0025] The duration corresponding to the maintenance level is realized through the maintenance level library, which maintains different maintenance durations according to the equipment type, equipment subtype and maintenance level.

[0026] Example 3 In another preferred embodiment, based on embodiments 1 and 2, refer to Figure 1~2 In order to demonstrate the diversity and practicality of the method of the present invention, this embodiment provides another specific application scenario.

[0027] Assume that a hydropower station has a main transformer whose status evaluation data is a score of 75 points, which means it is in a warning state. At the same time, according to the rolling maintenance plan, the equipment needs to undergo a Class C maintenance in that year. In addition, according to the historical maintenance data of the equipment, its last maintenance was two years ago. According to the maintenance guidelines, the equipment should undergo a Class B maintenance. In addition, the equipment is also associated with a special project, which requires at least a Class A maintenance.

[0028] According to the calculation method of the present invention, the system first derives the recommended maintenance levels as the maintenance level corresponding to the attention state (assuming it is level C), level C, level B and level A respectively based on the equipment status evaluation, rolling maintenance plan, equipment maintenance interval and equipment-related items; then, the system takes the highest level among the four recommended maintenance levels, namely level A, as the recommended maintenance level for the equipment; finally, the system calculates the maintenance period of the equipment based on the maintenance level period corresponding to the equipment type and the extended linear period of the equipment-related items.

[0029] Compared with the closest existing technology, the present invention has significant differences in technical features: the existing technology often only focuses on the decision of the current or next maintenance cycle and lacks long-term planning capabilities; while the present invention realizes automated maintenance decisions for hydropower main equipment by comprehensively considering multiple factors such as equipment status evaluation, rolling maintenance plan, equipment maintenance interval duration and equipment-related projects, thereby improving the consistency and systematicness of maintenance decisions; in addition, the present invention also realizes the connection with various tool systems through the industrial Internet platform, greatly improving the intelligence and automation level of maintenance decisions.

[0030] In the preferred solution, in Step 1.3, the calculation formula for the equipment maintenance interval is: Y=Y1+N, where Y1 is the maintenance year corresponding to the maintenance level in the historical maintenance data, N is the maintenance interval, and Y is the next maintenance year; the rule engine evaluates the equipment and the calculated maintenance interval according to the rules in the imported maintenance guidelines, and determines the corresponding maintenance level; the above settings can dynamically adjust the maintenance plan to ensure that the equipment is in the best operating state; at the same time, the system also supports manual intervention, allowing engineers to fine-tune the maintenance plan according to actual conditions to ensure the accuracy and flexibility of the maintenance work.

[0031] In the preferred scheme, in Step 1.4, the determination of the recommended maintenance level of the project also includes: taking the highest and lowest maintenance levels among the maintenance items selected for the equipment as the recommended maintenance level of the project, and calculating it through the formula L=max(L1), where L is the recommended maintenance level of the equipment, and L1 is the minimum maintenance level of the maintenance item; the above settings are intended to ensure the comprehensiveness and efficiency of equipment maintenance, and avoid missing high-risk or critical maintenance items; at the same time, it also facilitates project management and resource allocation, making maintenance work more systematic and scientific.

[0032] In the preferred solution, obtaining the equipment maintenance period in Step 3 also includes: determining the maintenance period based on the maintenance level period corresponding to the equipment type and the extended linear period of the equipment-related project, and the calculation formula is: D=D1+D2, wherein D1 is the period corresponding to the maintenance level, D2 is the extended linear period of the equipment-related project, and D is the maintenance period of the equipment; the above settings ensure the accurate calculation of the maintenance period, taking into account both the maintenance needs of the equipment itself and the impact of the period of related projects, providing a scientific basis for subsequent maintenance arrangements and resource allocation.

[0033] In the preferred scheme, the method is implemented through the industrial Internet platform, and data intercommunication is achieved with various tool systems. By acquiring the status evaluation data of the equipment and combining it with tools such as rule engines, real-time monitoring, data collection, intelligent analysis and automatic recommendation of equipment maintenance level and maintenance period of hydropower equipment are realized; the above settings further improve the accuracy and efficiency of hydropower equipment operation and maintenance, reduce the risk of human misjudgment, ensure the safe and stable operation of equipment, and at the same time optimize resource allocation and achieve effective control of operation and maintenance costs.

[0034] In the preferred scheme, the method also includes continuously accumulating and enriching the knowledge base through historical data, successful cases, expert experience, etc. in the maintenance decision-making process, and applying the accumulated knowledge to the generation and optimization of maintenance decision-making plans; the above settings can significantly improve the intelligence and accuracy of maintenance decisions, reduce human misjudgment, and improve equipment operation and maintenance efficiency and reliability. At the same time, it also provides valuable reference basis and solutions for the subsequent handling of similar problems.

[0035] In summary, the method for calculating the recommended maintenance level of hydropower main equipment proposed in the present invention solves the technical problems existing in the existing field of hydropower equipment maintenance, such as the lack of long-term planning, consistency and systematicness of maintenance decisions, and the failure to fully consider the needs of special projects; unlike traditional maintenance decision-making methods, the present invention comprehensively considers multiple factors such as equipment status evaluation, rolling maintenance plan, equipment maintenance interval duration, and equipment-related projects, and automatically gives the equipment maintenance level; this method of making maintenance decisions based on multiple factors is novel in the field of hydropower equipment maintenance; the present invention realizes real-time monitoring, data collection, intelligent analysis and automatic recommendation of equipment maintenance level of hydropower equipment through the industrial Internet platform. This method of applying the industrial Internet platform to hydropower equipment maintenance decision-making provides It improves the intelligence and automation level of decision-making, which is a new attempt in technology; the present invention deeply integrates the rule engine with the maintenance decision-making system, so that the rules can directly act on the maintenance decision-making process, and users can also customize and configure the rules to adapt to different scenarios and needs. This deep integration method is novel in the maintenance decision-making system; the present invention combines multiple factors such as equipment status evaluation, rolling maintenance plan, equipment maintenance interval, and equipment-related projects. The scheme innovatively proposes an automated method for determining the maintenance level of hydropower main equipment. This method not only improves the accuracy and consistency of maintenance decisions, but also fully considers the specific problems and needs of the equipment; the present invention builds an intelligent maintenance decision-making system through the deep integration of the industrial Internet platform and the rule engine. This system can collect and analyze equipment data in real time, and automatically recommend maintenance levels and maintenance periods according to preset rules, thereby realizing the intelligence and automation of maintenance decisions; the present invention can significantly improve the maintenance efficiency and scientificity of hydropower equipment through the application of this scheme. On the one hand, automated maintenance decisions reduce the possibility of manual intervention and decision-making errors; on the other hand, the intelligent maintenance system can be flexibly adjusted and optimized according to the actual situation of the equipment and maintenance needs, thereby improving the pertinence and effectiveness of maintenance. It has significant technical advantages and practicality, and can be widely used in maintenance decisions for hydropower equipment; at the same time, the system can also conduct in-depth mining of maintenance history data, continuously optimize the rule base, realize continuous optimization and self-learning of maintenance strategies, and provide solid technical support for the long-term stable operation of hydropower stations.

Claims

1. A method for calculating the recommended maintenance level of hydropower main equipment, characterized in that: The method comprises the following steps: Step 1: Obtain the recommended maintenance levels corresponding to various rules; Step 2: Obtain the recommended maintenance level of the equipment, and take the highest maintenance level among the three recommended maintenance levels obtained by the rolling maintenance plan, equipment maintenance interval, and equipment-related items as the recommended maintenance level of the equipment; Step 3: Obtain the maintenance period of the equipment, and determine the maintenance period based on the maintenance level period corresponding to the equipment type and the extended linear period of the equipment-related items.

2. A method for calculating the recommended maintenance level of hydropower main equipment according to claim 1, characterized in that: The specific steps of Step 1 to obtain the recommended maintenance levels corresponding to various rules include: Step 1.1: Query the device status evaluation data according to the device, and match the device status according to the score status evaluation and / or the score of the dimension status evaluation; Step 1.2: Match the equipment maintenance level according to the rolling maintenance plan; Step 1.3: Obtain the recommended maintenance level based on the equipment maintenance interval. The equipment maintenance interval is calculated based on the equipment's historical maintenance data and the current year, and the maintenance level is determined through rule engine evaluation; Step 1.4: Obtain the recommended maintenance level of the project based on the equipment-related items, where the equipment-related items include standard items and special items. Take the highest minimum maintenance level among the selected maintenance items as the recommended maintenance level of the project.

3. The method for calculating the recommended maintenance level of hydropower main equipment according to claim 2, characterized in that: In Step 1.1, the matching rules of the score status evaluation and the dimension status evaluation specifically include: Step 1.1.1: Score status evaluation, score ≥ 80, the equipment is in normal status; 80>score ≥ 70, the equipment is in caution status; 70>score ≥ 60, the equipment is in abnormal status; 60>score, the equipment is in danger status; Step 1.1.2: Dimension status evaluation, A, the equipment is in normal state; B, the equipment is in attention state; C, the equipment is in abnormal state; D, the equipment is in dangerous state.

4. The method for calculating the recommended maintenance level of hydropower main equipment according to claim 2, characterized in that: In the Step 1.3, the calculation formula for the equipment maintenance interval is: Y=Y1+N, where Y1 is the maintenance year corresponding to the maintenance level in the historical maintenance data, N is the maintenance interval, and Y is the next maintenance year; the rule engine evaluates the equipment and the calculated maintenance interval according to the rules in the imported maintenance guidelines, and determines the corresponding maintenance level.

5. The method for calculating the recommended maintenance level of hydropower main equipment according to claim 2, characterized in that: In the Step 1.4, the determination of the recommended maintenance level of the project also includes: taking the highest and lowest maintenance levels among the maintenance items selected for the equipment as the recommended maintenance level of the project, and calculating it through the formula L=max(L1), where L is the recommended maintenance level of the equipment and L1 is the minimum maintenance level of the maintenance item.

6. The method for calculating the recommended maintenance level of hydropower main equipment according to claim 1, characterized in that: Obtaining the equipment maintenance period in the Step 3 also includes: determining the maintenance period based on the maintenance level period corresponding to the equipment type and the extended linear period of the equipment-related project, and the calculation formula is: D=D1+D2, wherein D1 is the period corresponding to the maintenance level, D2 is the extended linear period of the equipment-related project, and D is the maintenance period of the equipment.

7. The method for calculating the recommended maintenance level of hydropower main equipment according to any one of claims 1 to 6, characterized in that: The method is implemented through the industrial Internet platform, realizes data intercommunication with various tool systems, and realizes real-time monitoring, data collection, intelligent analysis and automatic recommendation of equipment maintenance level and maintenance period of hydropower equipment by acquiring equipment status evaluation data and combining with the tool rule engine.

8. The method for calculating the recommended maintenance level of hydropower main equipment according to claim 7, characterized in that: The method also includes continuously accumulating and enriching the knowledge base through historical data, successful cases, and expert experience in the maintenance decision-making process, and applying the accumulated knowledge to the generation and optimization of the maintenance decision-making plan.

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