Intelligent operation and maintenance and state maintenance method and device for hydroelectric equipment, and computer equipment

Abstract

The embodiment of the invention provides an intelligent operation and maintenance and state overhaul method and device for hydroelectric equipment, computer equipment and a storage medium, and belongs to the field of equipment management and maintaining.The method comprises the steps that an equipment state monitoring module collects operation data of the hydroelectric equipment in real time; the equipment state evaluation module performs state evaluation based on the operation data according to the type and component characteristics of the hydroelectric equipment; the maintenance decision making module determines a maintenance rule and makes a maintenance strategy according to the state evaluation result of the hydroelectric equipment by combining fault mode analysis, fault influence analysis and maintenance items of the hydroelectric equipment; and the inspection management module formulates an inspection plan and arranges inspection tasks according to equipment operation conditions, defect conditions, weather conditions and historical inspection data. Real-time monitoring and early warning can be carried out, accurate evaluation and decision making can be carried out, an inspection plan is optimized, defect management can be efficiently carried out, and operation arrangement is flexible.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment management and maintenance, and more particularly, to a method, device, computer equipment and storage medium for intelligent operation and maintenance and condition-based maintenance of hydropower equipment. Background Art

[0002] Power maintenance modes include after-failure maintenance, regular maintenance and condition-based maintenance. Currently, the main maintenance mode adopted in the power industry is regular maintenance. This mode arranges maintenance plans based on the service life or operating time of equipment, and is a preventive maintenance strategy. However, regular maintenance does not consider the actual technical condition of the equipment. Whether the equipment needs maintenance or not, as long as the predetermined maintenance time is reached, maintenance must be carried out, which may lead to unnecessary maintenance and cause waste of resources.

[0003] With the improvement of equipment design and manufacturing levels, the reliability of equipment is getting higher and higher. The regular maintenance method may seem too conservative and not suitable for the characteristics of long life and low failure rate of modern equipment. Since personalized maintenance is not carried out according to the specific conditions of the equipment, it may lead to over-maintenance of some equipment and under-maintenance of some other equipment. Regular maintenance may increase the maintenance cost because it does not consider the actual operating efficiency and production cost of the equipment.

[0004] It can be seen that the existing condition-based maintenance systems and methods for hydropower equipment have deficiencies such as problems with maintenance accuracy and efficiency, lack of intelligent and automated support, and insufficient data analysis and processing capabilities. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a method, device, computer equipment and storage medium for intelligent operation and maintenance and condition-based maintenance of hydropower equipment.

[0006] To achieve the above purpose, the technical solutions adopted in the embodiments of the present invention are as follows:

[0007] The present invention provides a method for intelligent operation and maintenance and condition-based maintenance of hydropower equipment, including:

[0008] The equipment status monitoring module continuously collects the operation data of hydropower equipment;

[0009] The equipment status evaluation module conducts status evaluation based on the operation data according to the type and component characteristics of the hydropower equipment;

[0010] The maintenance decision-making module determines maintenance rules and formulates maintenance strategies based on the hydropower equipment status evaluation results, in combination with the fault mode analysis, fault impact analysis and maintenance items of the hydropower equipment;

[0011] The patrol management module formulates a patrol plan and arranges patrol tasks according to the equipment operation status, defect conditions, weather conditions and historical patrol data;

[0012] The defect management module confirms equipment defects through the analysis of data from the production real-time information system and the power production management information system, as well as patrol inspection and equipment monitoring feedback.

[0013] The operation mode management module arranges the operation modes of hydropower equipment by integrating production plans, maintenance plans, equipment defect elimination situations, grid requirements, and water condition factors, and prepares and publishes the operation plans of hydropower equipment.

[0014] The knowledge base module stores the operation and maintenance knowledge documents and data of hydropower equipment.

[0015] Preferably, the steps of the equipment status monitoring module for real-time collection of operation data of hydropower equipment specifically include:

[0016] Through various sensors installed on hydropower equipment, the operation data of hydropower equipment is collected in real time;

[0017] The collected operation data is transmitted to the data center or cloud platform by wired or wireless means;

[0018] The collected operation data is preprocessed.

[0019] Preferably, the steps of the equipment status evaluation module for status evaluation based on operation data according to the type and component characteristics of hydropower equipment specifically include:

[0020] Extract the characteristic quantities reflecting the status of hydropower equipment from the operation data;

[0021] According to the extracted status characteristics, combined with the type and component characteristics of hydropower equipment, classify and identify the status of hydropower equipment;

[0022] Present the status evaluation results in the form of a report.

[0023] Preferably, the steps of the maintenance decision-making module for formulating maintenance strategies by determining maintenance rules based on the equipment status evaluation results of hydropower equipment, combined with the failure mode analysis, failure impact analysis, and maintenance items of hydropower equipment specifically include:

[0024] Analyze the potential failure modes of hydropower equipment;

[0025] Evaluate the impact of the failure on the operation, safety, and economy of hydropower equipment, and determine the priority of the failure;

[0026] According to the results of the failure mode analysis and the failure impact analysis, determine the items and contents to be maintained;

[0027] Combined with the operation status, maintenance cycle, and maintenance resource factors of hydropower equipment, formulate maintenance strategies.

[0028] Preferably, the inspection management module formulates an inspection plan according to the equipment operation status, defect conditions, weather conditions, and historical inspection data. The steps for arranging inspection tasks specifically include:

[0029] Comprehensively analyze the operation status, defect conditions, and weather factors of hydropower equipment to identify the inspection requirements and key points;

[0030] Based on the results of the inspection requirement analysis, formulate an inspection plan, including inspection time, inspection route, and inspection personnel;

[0031] Assign the tasks in the inspection plan to specific inspection personnel, and clarify the responsibilities and tasks of the inspection personnel;

[0032] Obtain the timely feedback of the inspection results from the inspection personnel in a timely manner.

[0033] Preferably, the defect management module confirms equipment defects through the analysis of data from the production real-time information system and the power production management information system, as well as inspection and equipment monitoring feedback. The specific steps include:

[0034] Collect equipment defect information from the production real-time information system, the power production management information system, as well as inspection and equipment monitoring;

[0035] Classify and identify the collected defect information to clarify the type, nature, and impact of the defects;

[0036] Based on the results of defect classification and identification, formulate a defect handling plan, including handling time, handling method, and handling personnel;

[0037] Track and record the defect handling process, promptly handle the problems that occur during the handling process, and feedback the handling results to relevant personnel.

[0038] Preferably, the operation mode management module comprehensively considers the production plan, maintenance plan, equipment defect elimination situation, grid requirements, and water condition factors to arrange the operation mode of hydropower equipment. The steps for compiling and publishing the operation plan of hydropower equipment specifically include:

[0039] Comprehensively consider the production plan, maintenance plan, equipment defect elimination situation, grid requirements, and water condition factors to analyze the operation requirements of hydropower equipment;

[0040] Based on the results of the operation requirement analysis, formulate a specific operation mode, including startup mode, load distribution, and dispatching strategy;

[0041] Compile the formulated operation mode in the form of a plan and publish it to the preset interface;

[0042] Conduct real-time monitoring and adjustment of the operation process of hydropower equipment, promptly discover and handle the problems that occur during the operation process, and ensure the stable operation of the equipment.

[0043] To solve the above technical problems, the present invention also provides an intelligent operation and maintenance and condition-based maintenance device for hydropower equipment, which adopts the following technical solutions, including:

[0044] An equipment status monitoring module for collecting the operation data of hydropower equipment in real time;

[0045] An equipment status evaluation module for performing status evaluation based on the operation data according to the type and component characteristics of the hydropower equipment;

[0046] A maintenance decision-making module for determining maintenance rules and formulating maintenance strategies according to the hydropower equipment status evaluation results, in combination with the fault mode analysis, fault impact analysis and maintenance items of the hydropower equipment;

[0047] An inspection management module for formulating inspection plans and arranging inspection tasks according to the equipment operation status, defect conditions, weather conditions and historical inspection data;

[0048] A defect management module for confirming equipment defects through the analysis of data from the production real-time information system and the power production management information system, as well as inspection and equipment monitoring feedback;

[0049] An operation mode management module for arranging the operation mode of hydropower equipment, compiling and publishing the operation plan of hydropower equipment by integrating the production plan, maintenance plan, equipment defect elimination situation, grid requirements and water regime factors;

[0050] A knowledge base module for storing the operation and maintenance knowledge documents and data of hydropower equipment.

[0051] To solve the above technical problems, the present invention also provides a computer device, which adopts the following technical solutions, including a memory and a processor. Computer-readable instructions are stored in the memory, and when the processor executes the computer-readable instructions, the steps of the above intelligent operation and maintenance and condition-based maintenance method for hydropower equipment are realized.

[0052] To solve the above technical problems, the present invention also provides a computer-readable storage medium, which adopts the following technical solutions. Computer-readable instructions are stored on the computer-readable storage medium, and when the computer-readable instructions are executed by the processor, the steps of the above intelligent operation and maintenance and condition-based maintenance method for hydropower equipment are realized.

[0053] Compared with the prior art, the present invention mainly has the following beneficial effects: By collecting the operation data of hydropower equipment in real time through the equipment status monitoring module, abnormal equipment can be detected in time, providing early warning information for operation and maintenance personnel, thereby effectively avoiding unplanned outages caused by equipment failures; The equipment status evaluation module can accurately evaluate based on the operation data, combined with the equipment type and component characteristics. The maintenance decision-making module formulates a scientific and reasonable maintenance strategy based on the evaluation results and fault mode analysis, reducing unnecessary maintenance costs and resource waste; The patrol management module can intelligently formulate patrol plans according to the equipment operation status, defect conditions, weather conditions and historical patrol data, ensuring the pertinence and effectiveness of patrol tasks and improving patrol efficiency; The defect management module can quickly confirm equipment defects by integrating multiple data sources and analyzing patrol and monitoring feedback, providing strong support for defect handling and equipment repair; The operation mode management module comprehensively considers production plans, maintenance plans, equipment defect elimination situations, grid requirements and water conditions, and can flexibly arrange the operation modes of hydropower equipment to ensure the efficient and stable operation of the equipment and meet the grid requirements; The knowledge base module stores a large number of operation and maintenance knowledge documents and data of hydropower equipment, providing valuable learning resources and experience for operation and maintenance personnel, and helping to improve the overall operation and maintenance level of the team.

[0054] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0056] Figure 1 Shows a flowchart of an embodiment of the intelligent operation and maintenance and condition-based maintenance method for hydropower equipment provided by an embodiment of the present invention;

[0057] Figure 2 Shows a schematic structural diagram of an embodiment of the intelligent operation and maintenance and condition-based maintenance device for hydropower equipment provided by an embodiment of the present invention;

[0058] Figure 3 Shows a schematic structural diagram of an embodiment of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Usually, the components of the embodiments of the present invention described and illustrated herein can be arranged and designed in various different configurations.

[0060] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0061] It should be noted that the intelligent operation and maintenance and condition-based maintenance method for hydropower equipment provided by the embodiments of the present invention is generally executed by a server / terminal device. Correspondingly, the intelligent operation and maintenance and condition-based maintenance device for hydropower equipment is generally arranged in the server / terminal device.

[0062] It should be understood that the numbers of terminal devices, networks, and servers are merely illustrative. According to the implementation requirements, there can be any number of terminal devices, networks, and servers.

[0063] Relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including", or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article, or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article, or device including the element.

[0064] The First Embodiment

[0065] Please refer to Figure 1 , which shows a flowchart of an embodiment of the intelligent operation and maintenance and condition-based maintenance method for hydropower equipment of the present invention. The intelligent operation and maintenance and condition-based maintenance method for hydropower equipment includes the following steps:

[0066] Step S1, the device status monitoring module continuously collects the operation data of the hydropower equipment.

[0067] In this embodiment, the electronic device (such as a server / terminal device) on which the intelligent operation and maintenance and condition-based maintenance method of hydropower equipment runs can receive intelligent operation and maintenance and condition-based maintenance requests of hydropower equipment through wired connection or wireless connection. It should be noted that the above wireless connection methods may include, but are not limited to, 3G / 4G / 5G connections, WiFi connections, Bluetooth connections, WiMAX connections, Zigbee connections, UWB (ultra wideband) connections, and other currently known or future-developed wireless connection methods.

[0068] Specifically, in step S1, the device status monitoring module's real-time collection of the operation data of hydropower equipment further includes the following steps:

[0069] S11, through various sensors installed on the hydropower equipment, real-time collect the operation data of the hydropower equipment.

[0070] Hydropower equipment includes, but is not limited to, water turbines, generators, transformers, GIS, etc.

[0071] The operation data includes, but is not limited to, parameters such as vibration, temperature, pressure, flow rate, current, and voltage of the hydropower equipment. These sensors can convert the physical state of the hydropower equipment into digital signals for subsequent processing and analysis.

[0072] S12, transmit the collected operation data to the data center or cloud platform through wired or wireless means.

[0073] Through step S12, the real-time and integrity of the operation data of hydropower equipment can be ensured. Realize the remote transmission of operation data for centralized management and analysis.

[0074] S13, preprocess the collected operation data.

[0075] Perform preprocessing such as cleaning, denoising, and standardization on the collected original data (operation data) to improve the quality and usability of the data. Improve data quality and provide an accurate data basis for subsequent state assessment and maintenance decision-making.

[0076] During the data collection process, using sensors for data collection can ensure the accuracy and reliability of the data. For example, using vibration sensors to monitor the vibration of equipment can promptly detect abnormal vibrations of the equipment and provide a basis for fault warning.

[0077] After the collected operation data is preliminarily processed and analyzed, determine whether it is abnormal. If it exceeds the preset threshold, send a warning message, then classify and store the data, and transmit it to the equipment status assessment module.

[0078] Step S2, the equipment status evaluation module conducts status evaluation based on the operation data according to the types and component characteristics of the hydropower equipment.

[0079] In this embodiment, in step S2, the equipment status evaluation module conducts status evaluation based on the operation data according to the types and component characteristics of the hydropower equipment, which further includes the following steps:

[0080] S21, extract the characteristic quantities reflecting the status of the hydropower equipment from the operation data.

[0081] The characteristic quantities of the hydropower equipment status include but are not limited to vibration spectrum, temperature change trend, etc. Extracting key status characteristics such as characteristic quantities provides key information for subsequent status evaluation.

[0082] S22, classify and identify the status of the hydropower equipment according to the extracted status characteristics in combination with the types and component characteristics of the hydropower equipment.

[0083] The status of the hydropower equipment includes normal operation, abnormal operation, faults, etc. Accurately judging the current status of the equipment provides a basis for subsequent maintenance decision-making.

[0084] S23, present the status evaluation result in the form of a report.

[0085] The status evaluation result includes information such as equipment status, potential faults, recommended measures, etc. Through step S32, intuitive and comprehensive equipment status information can be provided for the operation and maintenance personnel, which is convenient for formulating targeted maintenance plans.

[0086] The status evaluation report can provide intuitive and comprehensive equipment status information for the operation and maintenance personnel, facilitating the operation and maintenance personnel to understand the overall operation status of the equipment. By regularly generating status evaluation reports, the operation and maintenance personnel can timely discover potential faults of the equipment and take corresponding treatment measures to avoid the occurrence and expansion of faults.

[0087] For example, for relay protection equipment, detection-type health factors, failure risk health factors, reliability health factors, and technical improvement health factors, etc. are used to model the status quantities. At the same time, a fuzzy comprehensive evaluation model is used. By constructing an evaluation object set, a status quantity system, determining index weights, an evaluation result set, and a status quantity scoring standard, a comprehensive evaluation of the equipment status is carried out to obtain evaluation results of different statuses such as normal, attention, and abnormal for the equipment. In addition, this module supports a multi-model status evaluation system, and different evaluation models can be selected for comparative analysis to obtain more reasonable results. According to the evaluation result, it is judged whether the equipment needs maintenance. If so, the maintenance decision-making module is triggered.

[0088] Step S3, the maintenance decision-making module formulates maintenance strategies by determining maintenance rules based on the hydropower equipment status evaluation result in combination with the fault mode analysis, fault impact analysis, and maintenance items of the hydropower equipment.

[0089] In this embodiment, in step S3, based on the evaluation result of the hydropower equipment status, the maintenance decision-making module formulates maintenance rules by combining the failure mode analysis, failure impact analysis, and maintenance items of the hydropower equipment, and formulating a maintenance strategy further includes the steps of:

[0090] S31, analyze the potential failure modes of the hydropower equipment.

[0091] The failure modes include failure types, failure causes, failure impacts, etc. Through step S31, the failure characteristics of the equipment can be understood, providing a basis for formulating a maintenance strategy.

[0092] S32, evaluate the impacts of the failures on the operation, safety, and economy of the hydropower equipment, and determine the priority of the failures.

[0093] Clarify the importance of the failures, providing a basis for reasonably arranging the maintenance sequence.

[0094] S33, determine the items and contents to be maintained according to the results of the failure mode analysis and failure impact analysis.

[0095] Clarify the maintenance objectives to ensure the pertinence and effectiveness of the maintenance work.

[0096] S34, formulate a maintenance strategy by combining the operating status, maintenance cycle, and maintenance resource factors of the hydropower equipment.

[0097] The maintenance strategy includes maintenance time, maintenance methods, maintenance personnel, etc. Through step S34, a detailed plan and guidance can be provided for the maintenance work to ensure the smooth progress of the maintenance work.

[0098] The maintenance decision-making module formulates a corresponding maintenance strategy based on the equipment status evaluation result, combining the equipment failure mode analysis, failure impact analysis, and maintenance item determination rules, and clarifies the maintenance items, grades, times, etc. For example, for equipment with different control levels (such as shortening the maintenance cycle for Class I controlled equipment and appropriately extending the maintenance cycle for Class IV controlled equipment when the status is normal), formulate a maintenance plan according to the preset strategy. At the same time, refer to the historical maintenance data in the knowledge base, the failure handling experience of similar equipment, and expert opinions to optimize the maintenance decision and ensure the scientific and effective of the plan. After the maintenance plan is formulated, it is pushed to the relevant departments and personnel, and the maintenance personnel execute the maintenance tasks according to the plan and feedback the results after the maintenance is completed.

[0099] By analyzing the equipment failure modes, the common failure types and failure causes of the equipment can be understood. For example, for hydro-generator units, the common failure modes include mechanical failures, electrical failures, and hydraulic failures, etc. By analyzing these failure modes, corresponding preventive measures and maintenance strategies can be formulated to reduce the occurrence of failures.

[0100] In step S4, the patrol inspection management module formulates a patrol inspection plan and arranges patrol inspection tasks according to the equipment operation status, defect situation, weather conditions, and historical patrol inspection data.

[0101] In this embodiment, step S4, where the patrol inspection management module formulates a patrol inspection plan and arranges patrol inspection tasks according to the equipment operation status, defect situation, weather conditions, and historical patrol inspection data, further includes the steps of:

[0102] S41, comprehensively analyze the patrol inspection requirements and key points based on the operation status of hydropower equipment, defect situation, and weather factors.

[0103] Through step S41, the goals and key points of the patrol inspection can be clarified, improving the pertinence and efficiency of the patrol inspection.

[0104] S42, formulate a patrol inspection plan according to the results of the patrol inspection requirement analysis, including the patrol inspection time, route, and personnel.

[0105] Through step S42, a detailed plan and guidance can be provided for the patrol inspection work, ensuring the orderly progress of the patrol inspection work.

[0106] S43, assign the tasks in the patrol inspection plan to specific patrol inspection personnel, clarifying the responsibilities and tasks of the patrol inspection personnel.

[0107] Through step S43, the implementation and execution of the patrol inspection tasks can be ensured, improving the quality and efficiency of the patrol inspection work.

[0108] S44, obtain the timely feedback of the patrol inspection results from the patrol inspection personnel in a timely manner.

[0109] The patrol inspection results include information such as equipment status and defect situation. Through step S44, data support can be provided for subsequent defect management and operation mode management.

[0110] The patrol inspection management module formulates a patrol inspection plan according to factors such as the equipment operation status, defect situation, weather conditions, and historical patrol inspection data, and reasonably arranges patrol inspection tasks, including determining the patrol inspection scope, cycle, personnel, etc. During the patrol inspection process, intelligent analysis algorithms are used to provide auxiliary decision-making for patrol inspection personnel, such as reminding of the patrol inspection route adjustment of the inspection points based on the standard patrol inspection route and equipment operation conditions, special patrol inspection route planning for selecting the optimal route according to the weather or after equipment maintenance, patrol inspection task assignment for allocating tasks based on personnel work arrangements and equipment requirements, and abnormal identification of patrol inspection records for assisting the shift supervisor to identify equipment abnormalities and provide disposal suggestions. After the patrol inspection personnel discover defects, they report them to the defect management module in a timely manner. It is connected with the two-ticket system to realize the automatic generation of work tickets before the patrol inspection and the automatic cancellation of work tickets after the patrol inspection, ensuring the standardization and process of the patrol inspection work.

[0111] A reasonable inspection plan can improve the efficiency and pertinence of the inspection work. By comprehensively considering the equipment operation status, defect conditions, weather factors, etc., formulating a detailed inspection plan can ensure the orderly progress of the inspection work. At the same time, the formulation of the inspection plan can also provide clear work goals and tasks for the operation and maintenance personnel, improving the quality and efficiency of the inspection work.

[0112] Step S5, the defect management module confirms equipment defects through the analysis of data from the production real-time information system and the power production management information system, as well as inspection and equipment monitoring feedback.

[0113] In this embodiment, step S5, the defect management module further includes the following steps in confirming equipment defects through the analysis of data from the production real-time information system and the power production management information system, as well as inspection and equipment monitoring feedback:

[0114] S51, collect equipment defect information from the production real-time information system, the power production management information system, and inspection and equipment monitoring.

[0115] Through step S51, equipment defect information can be comprehensively collected, providing a basis for subsequent defect analysis and handling.

[0116] S52, classify and identify the collected defect information to clarify the type, nature, and impact of the defects.

[0117] Through step S52, the characteristics of the defects can be understood, providing a basis for formulating handling measures.

[0118] S53, formulate a defect handling plan based on the results of defect classification and identification, including the handling time, handling method, and handling personnel.

[0119] Through step S53, a detailed plan and guidance can be provided for the defect handling work to ensure that the defects are handled promptly and effectively.

[0120] S54, track and record the defect handling process, promptly handle the problems that occur during the handling process, and feedback the handling results to relevant personnel.

[0121] Through step S54, the smooth progress of the defect handling work can be ensured, improving the efficiency and quality of defect handling.

[0122] During the defect handling process, it is necessary to track and record the handling process and promptly handle the problems that occur during the handling process.

[0123] The defect management module discovers and confirms equipment defects in a timely manner by analyzing the data of the production real-time information system and the power production management information system, as well as the feedback from patrol inspections and equipment monitoring. It uses an auxiliary decision-making for defect confirmation based on data analysis and intelligent algorithms to determine the severity and classification of defects. Based on the defect type, equipment operating status, and historical defect information, through the intelligent monitoring system and machine learning algorithm analysis, it formulates targeted maintenance strategies and plans, including temporary repair measures, long-term solutions, and preventive measures, and tracks the processing process to ensure that defects are handled in a timely and effective manner. After the processing is completed, it conducts statistical analysis on the defect-related information and updates the knowledge base.

[0124] Step S6: The operation mode management module arranges the operation mode of the hydropower equipment by integrating the production plan, maintenance plan, equipment defect elimination situation, grid requirements, and water condition factors, and writes and publishes the operation plan of the hydropower equipment.

[0125] In this embodiment, step S6, where the operation mode management module arranges the operation mode of the hydropower equipment by integrating the production plan, maintenance plan, equipment defect elimination situation, grid requirements, and water condition factors, and writes and publishes the operation plan of the hydropower equipment, further includes the steps:

[0126] S61: Comprehensively consider the production plan, maintenance plan, equipment defect elimination situation, grid requirements, and water condition factors to analyze the operation requirements of the hydropower equipment.

[0127] Through step S61, the operation goals and requirements of the equipment can be clarified, providing a basis for subsequent operation mode arrangements.

[0128] S62: According to the results of the operation requirement analysis, formulate specific operation modes, including startup modes, load distribution, and dispatching strategies.

[0129] Through step S62, it can ensure that the equipment operates safely, economically, and efficiently while meeting production requirements.

[0130] S63: Write the formulated operation mode in the form of a plan and publish it to a preset interface.

[0131] Through step S63, it can provide a detailed plan and guidance for the operation of the equipment, ensuring the smooth progress of the operation work.

[0132] S64: Conduct real-time monitoring and adjustment of the operation process of the hydropower equipment, discover and handle problems that occur during the operation process in a timely manner, and ensure the stable operation of the equipment.

[0133] Through step S64, it can improve the operation reliability and stability of the equipment and reduce the occurrence of faults and accidents.

[0134] The operation mode management module comprehensively considers factors such as production plans, maintenance plans, equipment defect elimination status, grid requirements, and water conditions, arranges the operation modes of equipment, prepares and publishes equipment operation plans. During operation, it provides auxiliary decision-making for operations such as dispatching communication, work ticket issuance, mode arrangement, and emergency duty. For example, it reads dispatching orders to assist in filling out the duty log, provides options for work ticket filling items based on historical work tickets, calculates suggestions for operation mode arrangement according to maintenance and power generation plans, and identifies the event level and provides options for disposal plans in case of emergency events. When an emergency event occurs, it promptly activates the emergency auxiliary decision-making mechanism to ensure the safe operation of equipment.

[0135] Step S7, the knowledge base module stores the operation and maintenance knowledge documents and data of hydropower equipment.

[0136] In this embodiment, step S7, the knowledge base module storing the operation and maintenance knowledge documents and data of hydropower equipment further includes the steps:

[0137] S71, collect and organize knowledge documents.

[0138] Collect the operation and maintenance related documents and data of hydropower equipment, including equipment manuals, maintenance records, fault cases, etc., and organize and classify them.

[0139] Through step S71, a comprehensive knowledge base can be established to provide rich technical support and reference materials for operation and maintenance personnel.

[0140] S72, update and maintain knowledge documents.

[0141] Regularly update and maintain the documents and data in the knowledge base to ensure the timeliness and accuracy of knowledge.

[0142] Through step S72, the knowledge base can be kept in the latest state to provide reliable technical support for operation and maintenance personnel.

[0143] S73, knowledge search and query sub-step: Provide convenient knowledge search and query functions, enabling operation and maintenance personnel to quickly find the required knowledge documents and data.

[0144] Through step S73, the work efficiency of operation and maintenance personnel can be improved, and the time cost of searching for knowledge can be reduced.

[0145] S74, knowledge sharing and communication sub-step: Encourage knowledge sharing and communication among operation and maintenance personnel to promote the dissemination and application of knowledge.

[0146] Through step S74, the overall technical level and collaboration ability of operation and maintenance personnel can be improved, providing better support for the operation and maintenance work of equipment.

[0147] The knowledge base module stores knowledge documents and data related to the operation, maintenance, and repair of hydropower equipment, such as equipment operation manuals, common fault handling methods, standard maintenance procedures, equipment historical maintenance records, domestic and foreign fault handling information and maintenance experience of similar equipment, anti-measure requirements, and industry technical standards. It provides data support and decision-making references for other modules. For example, during the process of formulating maintenance decisions and defect handling plans, the accuracy and scientific nature of decisions can be improved by retrieving information from the knowledge base. With the operation of the system and the accumulation of new experience, the content of the knowledge base is continuously updated and improved. The user management module is responsible for managing system user information, including accounts, passwords, roles, permissions, etc. Users with different roles (such as personnel in the production management department, maintenance personnel, operation personnel, technical experts, etc.) have different operation permissions and function interfaces to ensure the safe and standardized operation of the system. The operation logs of users are recorded to facilitate system management and problem tracing. At the same time, it supports user training management, providing targeted training materials and training record management functions for users with different roles to improve users' operation skills and business levels.

[0148] Implementing this embodiment has the following beneficial effects: By the equipment status monitoring module, the operation data of hydropower equipment is collected in real time, enabling the timely detection of equipment abnormalities and providing warning information for maintenance personnel, thus effectively avoiding unplanned outages caused by equipment failures; the equipment status evaluation module can conduct accurate evaluations based on the operation data, combined with the equipment type and component characteristics. The maintenance decision-making module formulates scientific and reasonable maintenance strategies based on the evaluation results and fault mode analysis, reducing unnecessary maintenance costs and resource waste; the patrol management module can intelligently formulate patrol plans according to the equipment operation status, defect conditions, weather conditions, and historical patrol data to ensure the pertinence and effectiveness of patrol tasks and improve patrol efficiency; the defect management module can quickly confirm equipment defects by integrating multiple data sources and analyzing the feedback from patrols and monitoring, providing strong support for defect handling and equipment repair; the operation mode management module comprehensively considers production plans, maintenance plans, equipment defect elimination situations, grid requirements, and water conditions, and can flexibly arrange the operation modes of hydropower equipment to ensure the efficient and stable operation of the equipment and meet grid requirements; the knowledge base module stores a large amount of knowledge documents and data related to the operation, maintenance, and repair of hydropower equipment, providing valuable learning resources and experience references for maintenance personnel, which helps to improve the overall maintenance level of the team.

[0149] The present invention can be used in numerous general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, and so on. The present invention can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present invention can also be practiced in a distributed computing environment, where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0150] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through computer-readable instructions. The computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (ROM), etc., or a random access memory (RAM), etc.

[0151] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit and can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings can include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same moment but can be executed at different moments, and their execution order is not necessarily sequential but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0152] Second Embodiment

[0153] To execute the corresponding steps in the above embodiments and all possible manners, the following presents an implementation manner of an intelligent operation and maintenance and condition-based maintenance device for hydropower equipment. Optionally, the intelligent operation and maintenance and condition-based maintenance device for hydropower equipment is related to Figure 1The method embodiments shown correspond to this, and this device can be specifically applied to various electronic devices. It should be noted that for the intelligent operation and maintenance and condition-based maintenance device of hydropower equipment provided in this embodiment, its basic principle and the technical effects produced are the same as those in the above embodiments. For the sake of brief description, for the parts not mentioned in this embodiment, reference can be made to the corresponding content in the above embodiments.

[0154] As Figure 2 shown, the intelligent operation and maintenance and condition-based maintenance device of hydropower equipment includes:

[0155] A device status monitoring module 81, a device status evaluation module 82, a maintenance decision-making module 83, a patrol inspection management module 84, a defect management module 85, an operation mode management module 86, and a knowledge base module 87. Among them:

[0156] The device status monitoring module 81 is used to collect the operation data of hydropower equipment in real time;

[0157] The device status evaluation module 82 is used to perform status evaluation based on the operation data according to the type and component characteristics of the hydropower equipment;

[0158] The maintenance decision-making module 83 is used to determine the maintenance rules and formulate the maintenance strategy according to the hydropower equipment status evaluation results, combined with the failure mode analysis, failure impact analysis, and maintenance items of the hydropower equipment;

[0159] The patrol inspection management module 84 is used to formulate the patrol inspection plan and arrange the patrol inspection tasks according to the equipment operation status, defect situation, weather condition, and historical patrol inspection data;

[0160] The defect management module 85 is used to confirm the equipment defects through the analysis of the data of the production real-time information system and the power production management information system, as well as the feedback of patrol inspection and equipment monitoring;

[0161] The operation mode management module 86 is used to arrange the operation mode of the hydropower equipment by integrating the production plan, maintenance plan, equipment defect elimination situation, grid requirements, and water condition factors, and write and release the operation plan of the hydropower equipment;

[0162] The knowledge base module 87 is used to store the operation and maintenance knowledge documents and data of hydropower equipment.

[0163] Optionally, the above modules can be stored in the memory in the form of software or firmware (Firmware) or solidified in the operating system (Operating System, OS), and can be executed by the processor. At the same time, the data, program code, etc. required to execute the above modules can be stored in the memory.

[0164] Implementing this embodiment has the following beneficial effects: By using the device status monitoring module to collect the operation data of the hydropower equipment in real time, it is possible to promptly detect equipment anomalies and provide early warning information to the operation and maintenance personnel, thereby effectively avoiding unplanned outages caused by equipment failures; the device status evaluation module can perform accurate evaluations based on the operation data, combined with the device type and component characteristics. The maintenance decision-making module formulates scientific and reasonable maintenance strategies based on the evaluation results and failure mode analysis, reducing unnecessary maintenance costs and resource waste; the patrol management module can intelligently formulate patrol plans according to the equipment operation status, defect conditions, weather conditions, and historical patrol data, ensuring the pertinence and effectiveness of patrol tasks and improving patrol efficiency; the defect management module can quickly confirm equipment defects by integrating multiple data sources and analyzing patrol and monitoring feedback, providing strong support for defect handling and equipment repair; the operation mode management module comprehensively considers production plans, maintenance plans, equipment defect elimination situations, grid requirements, and water conditions, and can flexibly arrange the operation modes of hydropower equipment to ensure the efficient and stable operation of the equipment and meet grid requirements; the knowledge base module stores a large number of hydropower equipment operation and maintenance knowledge documents and data, providing valuable learning resources and experience for the operation and maintenance personnel, and helping to improve the overall operation and maintenance level of the team.

[0165] The third embodiment

[0166] To solve the above technical problems, an embodiment of the present invention also provides a computer device. Specifically, please refer to Figure 3 , Figure 3 which is the basic structural block diagram of the computer device in this embodiment.

[0167] The above computer device 9 includes a memory 91, a processor 92, and a network interface 93 that are communicatively connected to each other through a system bus. It should be noted that only the computer device 9 with components such as the memory 91, the processor 92, and the network interface 93 is shown in the figure. However, it should be understood that it is not required to implement all the shown components, and more or fewer components can be alternatively implemented. Among them, those skilled in the art of the present technology can understand that a computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0168] The above computer device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The above computer device can perform human-computer interaction with the user through a keyboard, a mouse, a remote control, a touchpad, a voice control device, etc.

[0169] The above memory 91 includes at least one type of readable storage medium, and the above readable storage medium includes flash memory, a hard disk, a multimedia card, a card-type memory (such as an SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the above memory 91 can be an internal storage unit of the above computer device 9, such as the hard disk or memory of the computer device 9. In other embodiments, the above memory 91 can also be an external storage device of the above computer device 9, such as a plug-in hard disk equipped on the computer device 9, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Of course, the above memory 91 can also include both the internal storage unit of the above computer device 9 and its external storage device. In this embodiment, the above memory 91 is generally used to store the operating system and various application software installed on the above computer device 9, such as computer-readable instructions of the intelligent operation and maintenance and condition-based maintenance method for hydropower equipment. In addition, the above memory 91 can also be used to temporarily store various data that have been output or will be output.

[0170] In some embodiments, the above processor 92 can be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips. The processor 92 is generally used to control the overall operation of the above computer device 9. In this embodiment, the above processor 92 is used to run the computer-readable instructions stored in the above memory 91 or process data, such as running the computer-readable instructions of the intelligent operation and maintenance and condition-based maintenance method for hydropower equipment.

[0171] The above network interface 93 can include a wireless network interface or a wired network interface, and the network interface 93 is generally used to establish a communication connection between the above computer device 9 and other electronic devices.

[0172] Implementing this embodiment has the following beneficial effects: By using the device status monitoring module to collect the operation data of hydropower equipment in real time, it is possible to promptly detect device anomalies and provide warning information to operation and maintenance personnel, thereby effectively avoiding unplanned outages caused by equipment failures; the device status evaluation module can perform accurate evaluations based on the operation data, in combination with the device type and component characteristics. The maintenance decision-making module formulates scientific and reasonable maintenance strategies based on the evaluation results and failure mode analysis, reducing unnecessary maintenance costs and resource waste; the patrol management module can intelligently formulate patrol plans according to the equipment operation status, defect conditions, weather conditions, and historical patrol data, ensuring the pertinence and effectiveness of patrol tasks and improving patrol efficiency; the defect management module can quickly confirm equipment defects by integrating multiple data sources and analyzing patrol and monitoring feedback, providing strong support for defect handling and equipment repair; the operation mode management module comprehensively considers production plans, maintenance plans, equipment defect elimination situations, grid requirements, and water conditions, and can flexibly arrange the operation modes of hydropower equipment to ensure the efficient and stable operation of the equipment and meet grid requirements; the knowledge base module stores a large number of operation and maintenance knowledge documents and data of hydropower equipment, providing valuable learning resources and experience for operation and maintenance personnel, and helping to improve the overall operation and maintenance level of the team.

[0173] Fourth Embodiment

[0174] The present invention also provides another implementation manner, that is, to provide a computer-readable storage medium, which stores computer-readable instructions that can be executed by at least one processor, so that at least one processor executes the steps of the intelligent operation and maintenance and status maintenance method of hydropower equipment as described above.

[0175] Implementing this embodiment has the following beneficial effects: By using the device status monitoring module to collect the operation data of the hydropower equipment in real time, it is possible to promptly detect equipment abnormalities and provide warning information for the operation and maintenance personnel, thus effectively avoiding unplanned outages caused by equipment failures; The device status evaluation module can conduct accurate evaluations based on the operation data, combined with the device type and component characteristics. The maintenance decision-making module formulates scientific and reasonable maintenance strategies based on the evaluation results and fault mode analysis, reducing unnecessary maintenance costs and resource waste; The patrol management module can intelligently formulate patrol plans according to the equipment operation status, defect conditions, weather conditions, and historical patrol data, ensuring the pertinence and effectiveness of patrol tasks and improving patrol efficiency; The defect management module can quickly confirm equipment defects by integrating multiple data sources and analyzing the feedback from patrols and monitoring, providing strong support for defect handling and equipment repair; The operation mode management module comprehensively considers production plans, maintenance plans, equipment defect elimination situations, grid requirements, and water conditions, and can flexibly arrange the operation modes of hydropower equipment to ensure the efficient and stable operation of the equipment and meet grid requirements; The knowledge base module stores a large number of operation and maintenance knowledge documents and data of hydropower equipment, providing valuable learning resources and experience references for the operation and maintenance personnel, and helping to improve the overall operation and maintenance level of the team.

[0176] From the description of the above implementation manners, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present invention, in essence, or the part that makes a contribution to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0177] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of devices, methods, and computer program products according to multiple embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and a module, a program segment, or a part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0178] In addition, each functional module in various embodiments of the present invention may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

[0179] If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0180] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for intelligent operation and maintenance of hydropower equipment and condition inspection, characterized in that: The steps include: The equipment status monitoring module collects the operating data of the hydropower equipment in real time; The equipment status assessment module performs status assessment based on the operation data and according to the type and component characteristics of the hydropower equipment; The maintenance decision-making module determines maintenance rules and formulates maintenance strategies based on the hydropower equipment status assessment results, combined with the failure mode analysis, failure impact analysis and maintenance items of the hydropower equipment; The inspection management module formulates inspection plans and arranges inspection tasks based on equipment operating conditions, defects, weather conditions and historical inspection data; The defect management module confirms equipment defects by analyzing the data of the production real-time information system and the power production management information system, as well as inspection and equipment monitoring feedback; The operation mode management module integrates production plan, maintenance plan, equipment fault elimination situation, power grid requirements, water situation factors, arranges the operation mode of the hydropower equipment, and compiles and publishes the operation plan of the hydropower equipment; The knowledge base module stores the operation, maintenance and repair knowledge documents and data of the hydropower equipment.

2. The method for intelligent operation and maintenance of hydropower equipment according to claim 1 is characterized in that: The step of the equipment status monitoring module collecting the operation data of the hydropower equipment in real time specifically includes: Collecting the operation data of the hydropower equipment in real time through various sensors installed on the hydropower equipment; Transmitting the collected operation data to a data center or a cloud platform via wired or wireless means; The collected operation data is preprocessed.

3. The method for intelligent operation and maintenance of hydropower equipment according to claim 1 is characterized in that: The equipment status assessment module performs status assessment based on the operation data and according to the type and component characteristics of the hydropower equipment, specifically including: Extracting a characteristic quantity reflecting the state of the hydropower equipment from the operation data; Classifying and identifying the state of the hydropower equipment according to the extracted state features and in combination with the type and component characteristics of the hydropower equipment; Present the status assessment results in a report.

4. The method for intelligent operation and maintenance of hydropower equipment according to claim 1, characterized in that: The maintenance decision-making module determines maintenance rules based on the hydropower equipment status assessment results, combined with the failure mode analysis, failure impact analysis and maintenance items of the hydropower equipment, and the steps of formulating maintenance strategies specifically include: Analyzing potential failure modes of the hydropower equipment; Assess the impact of the fault on the operation, safety and economy of the hydropower equipment and determine the priority of the fault; Determine the items and contents that need to be repaired based on the results of failure mode analysis and failure impact analysis; A maintenance strategy is formulated based on the operating status, maintenance cycle, and maintenance resource factors of the hydropower equipment.

5. The method for intelligent operation and maintenance of hydropower equipment according to claim 1, characterized in that: The inspection management module formulates an inspection plan based on the equipment operation status, defects, weather conditions and historical inspection data, and the steps of arranging inspection tasks specifically include: Analyze the needs and priorities of inspections based on the operating conditions, defects, and weather factors of the hydropower equipment; According to the results of the inspection demand analysis, formulate an inspection plan, including inspection time, inspection route, and inspection personnel; Assign the tasks in the inspection plan to specific inspectors and clarify their duties and tasks; Obtain timely feedback on inspection results from inspection personnel.

6. The method for intelligent operation and maintenance of hydropower equipment according to claim 1, characterized in that: The defect management module analyzes the data of the production real-time information system and the power production management information system, as well as the inspection and equipment monitoring feedback, and the steps of confirming equipment defects specifically include: Collect equipment defect information from production real-time information systems, power production management information systems, and inspections and equipment monitoring; Classify and identify the collected defect information, and clarify the type, nature and impact of the defects; According to the results of defect classification and identification, formulate defect handling plan, including handling time, handling method, and handling personnel; Track and record the defect handling process, promptly handle problems that arise during the process, and feedback the handling results to relevant personnel.

7. The method for intelligent operation and maintenance of hydropower equipment according to any one of claims 1 to 6, characterized in that: The operation mode management module arranges the operation mode of the hydropower equipment by integrating the production plan, maintenance plan, equipment fault elimination situation, power grid requirements, and water situation factors, and the steps of compiling and publishing the operation plan of the hydropower equipment specifically include: Analyze the operation requirements of the hydropower equipment by comprehensively considering the production plan, maintenance plan, equipment fault elimination, power grid requirements and water conditions; According to the results of the operation demand analysis, formulate specific operation modes, including startup mode, load distribution, and dispatching strategy; Write the planned operation mode in the form of a plan and publish it to the preset interface; The operation process of the hydropower equipment is monitored and adjusted in real time, and problems arising during the operation are discovered and handled in a timely manner to ensure the stable operation of the equipment.

8. A hydropower equipment intelligent operation and maintenance and condition inspection device, characterized in that: include: An equipment status monitoring module, used for collecting the operating data of the hydropower equipment in real time; An equipment status assessment module, used to perform status assessment based on the operation data and according to the type and component characteristics of the hydropower equipment; A maintenance decision-making module is used to determine maintenance rules and formulate maintenance strategies based on the hydropower equipment status assessment results, combined with the failure mode analysis, failure impact analysis and maintenance items of the hydropower equipment; Inspection management module, used to formulate inspection plans and arrange inspection tasks according to equipment operation status, defects, weather conditions and historical inspection data; Defect management module, used to confirm equipment defects through analysis of production real-time information system and power production management information system data, as well as inspection and equipment monitoring feedback; An operation mode management module is used to arrange the operation mode of the hydropower equipment and compile and publish the operation plan of the hydropower equipment based on the production plan, maintenance plan, equipment fault elimination situation, power grid requirements, and water situation factors; The knowledge base module is used to store the operation, maintenance and repair knowledge documents and data of the hydropower equipment.

9. A computer device, characterized in that: It includes a processor and a memory, the memory stores machine executable instructions that can be executed by the processor, and the processor can execute the machine executable instructions to implement the intelligent operation and maintenance and condition inspection method of hydropower equipment described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the method for intelligent operation and maintenance and condition inspection of hydropower equipment according to any one of claims 1 to 7 is implemented.

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