Method and system for optimizing point inspection system of hydraulic power plant equipment

Abstract

The invention discloses a hydraulic power plant equipment point inspection system optimization method and system, and belongs to the technical field of hydraulic power plant equipment management, and the method comprises the steps: determining a patrol point inspection standard, generating a patrol point inspection task, carrying out the distribution of corresponding patrol point inspection personnel, carrying out the online patrol point inspection and offline patrol point inspection at the same time, and carrying out the patrol point inspection period management. In the patrol and spot inspection task execution process, patrol and spot inspection supervision and tracking are added, and meanwhile, patrol and spot inspection personnel collect abnormal data when executing the task and send the abnormal data to a defect management module for defect processing; and based on a defect processing result, carrying out dynamic adjustment on a patrol point inspection point location and a task period, generating a patrol point inspection report through a patrol point inspection receiving module after adjustment, and sending the patrol point inspection report to a patrol point inspection analysis module for period trend analysis. According to the invention, the patrol and spot inspection task is intelligently generated, organic combination of online patrol and spot inspection and offline patrol and spot inspection is realized, the patrol efficiency is improved, closed-loop management of defect processing is realized, patrol resource configuration is optimized, and the equipment management level is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower plant equipment management, and specifically to a method and system for optimizing a hydropower plant equipment inspection system. Background Art

[0002] In the field of hydropower plant equipment management, with the continuous advancement of science and technology, equipment inspection systems have become an important means to ensure the safe and efficient operation of hydropower plants. Traditional inspection systems mainly rely on manual experience and detect potential faults by regularly inspecting equipment. However, the efficiency and accuracy of this method are often limited, and it is difficult to meet the high requirements of modern hydropower plants for equipment management.

[0003] The existing hydropower plant equipment inspection system has the following shortcomings: the original system frequently has defects, the inspection equipment is gradually aging, the equipment failure rate is high, and the power plant personnel have low participation in the construction.

[0004] The inspection situation of the original system did not form a closed loop, the inspection situation had no inspection and evaluation function, and the inspection tasks did not form a closed loop on the system.

[0005] The original system had a single function and was unable to include new equipment in the inspection points. Equipment defects and failures discovered during the inspection process could not be recorded and uploaded in a timely manner.

[0006] The original system could no longer meet the requirements of the underground factory. The original inspection system could not exchange data with the system server in real time. When the inspection personnel arrived in the area without network coverage, the inspection system could not record the inspection status of the personnel.

[0007] The optimization method for the hydropower plant equipment inspection system proposed in the present invention aims to improve the intelligence, efficiency and reliability of the hydropower plant equipment inspection system through these optimization measures, so as to provide a strong guarantee for the stable operation of the hydropower plant. Summary of the invention

[0008] In view of the above-mentioned existing problems, the present invention develops a method for optimizing the equipment inspection system of a hydropower plant, upgrades and optimizes the original inspection system's hardware and software facilities, improves the inspection function, optimizes the design of task creation, point addition and task closed-loop functions, and creates an offline mode.

[0009] In order to solve the above technical problems, a method for optimizing the equipment inspection system of a hydropower plant is proposed, including: Establish patrol inspection standards, generate patrol inspection tasks, and assign corresponding patrol inspection personnel to conduct online and offline patrol inspections to manage patrol inspection cycles. During the execution of patrol inspection tasks, increase patrol inspection supervision and tracking. At the same time, patrol inspection personnel collect abnormal data when performing tasks and send it to the defect management module for defect processing. Based on the results of defect processing, dynamically adjust patrol inspection points and task cycles. After adjustment, generate patrol inspection reports through the patrol inspection acceptance module and send them to the patrol inspection analysis module for cycle trend analysis.

[0010] As a preferred solution of the method for optimizing the inspection system of a hydropower plant equipment described in the present invention, the inspection standard includes establishing the inspection standard, manually setting the key equipment and normal equipment in the system according to the actual project or personnel requirements, and performing data measurement of corresponding temperature, vibration, current, voltage and power factor, and generating an inspection task when any inspection standard is met: Inspection standard 1 is that the operating temperature of all key equipment is maintained between the specified rated values; when the temperature of the key equipment exceeds the first temperature threshold, an inspection task is triggered; when the equipment temperature exceeds the second temperature threshold, the system automatically generates an emergency inspection task and takes shutdown measures; Inspection standard 2 is to keep the vibration acceleration of all equipment less than the first equipment threshold. When the vibration acceleration exceeds the first equipment threshold but is less than the second equipment threshold, a inspection task is triggered. When the vibration acceleration exceeds the second equipment threshold, the system automatically generates an emergency inspection task and marks it as a high-risk device. Inspection standard three is to keep the current and voltage of the equipment within the set range, and the power factor should be ≥0.95; when the current or voltage exceeds the first preset range, the inspection task is triggered, and the load and wiring status of the electrical system are required to be detected. When the current or voltage exceeds the second preset range or the power factor drops ≤0.9, the system automatically generates an emergency inspection task and triggers a system alarm; When, in the past three consecutive inspections, the equipment exceeds two data measurement monitoring indicators to trigger an inspection task and there is a tendency to generate an emergency inspection task, that is, when the data measurement results tend to the second threshold, defect processing is triggered at the same time, where the second threshold includes the second temperature threshold, the second equipment threshold, the second preset range, and the power factor drops below 0.9.

[0011] As a preferred solution of the method for optimizing the inspection system of a hydropower plant equipment described in the present invention, the inspection cycle management includes performing online inspection and offline inspection at the same time, and when the inspection task is triggered, the inspection route is generated according to the inspection task to perform online inspection; When in online inspection, establish a fault occurrence rate calculation based on historical fault data and adjust the inspection frequency according to the fault occurrence rate; The offline inspection includes: after the inspection task is generated, the inspection task is pushed to the corresponding inspection personnel. The inspection personnel use the mobile inspection terminal to perform the inspection task according to the inspection task plan and the designated route. During the process, the mobile inspection terminal identifies the NFC tag and reads the current equipment health and equipment ledger information. After checking and confirming, the inspection personnel submit the inspection task, enter the current equipment offline value, take photos of the defective equipment on site and upload them to the server. When submitting the record, the system records the operating parameters of the defective equipment as a basis for later inspection. For the same inspection task, multiple inspection personnel can perform the inspection task at the same time. The inspection record distinguishes the execution status of each inspection personnel in the current inspection task according to the personnel. Functions include basic equipment configuration management, inspection object management, inspection task management, defect push, inspection standards, and statistical analysis.

[0012] As a preferred solution of the method for optimizing the inspection system of hydropower plant equipment described in the present invention, the inspection supervision and tracking includes: the system continuously collects historical data of inspection points, including the fault history, equipment operation status, and environmental factors of each inspection point, and calculates the abnormal risk value of each inspection point by analyzing the completion of the inspection task and the historical abnormal data; Combine the risk values ​​of all points and set the overall abnormal risk threshold: when the abnormal risk value > the overall abnormal risk threshold and the number of failures at the inspection point is greater than 2, three tracking points are generated at the current point; When the abnormal risk value is greater than the overall abnormal risk threshold and the number of failures at the inspection point is 1 or 2, two tracking points are generated at the current point; When the abnormal risk value is ≤ the overall abnormal risk threshold, a tracking point is generated at the current point; According to the number of tracking points generated, all tracking points are connected in series and displayed in a graphical way. The dashboard is used to present the status and risk level information of each inspection point. At the same time, the completion time of the task is monitored, and the equipment status and historical abnormal data are evaluated. The abnormal report is automatically generated and sent, including the abnormal description, possible impact and urgency; Inspectors provide real-time feedback through mobile terminals, record the progress of tasks, and adjust task priorities based on real-time feedback. When a task is delayed, the system automatically analyzes the cause of the delay and generates improvement suggestions, maintaining real-time tracking and supervision.

[0013] As a preferred solution of the method for optimizing the equipment inspection system of a hydropower plant described in the present invention, the defect processing includes: when the tracking point evaluates the equipment status and historical abnormal data, the generated improvement suggestions and abnormal reports are generated into a defect sheet, the system performs real-time analysis, classification and priority sorting of the defect data, and generates defect processing based on the abnormality degree and defect impact range; Considering the number of tracking points generated and the risk value to comprehensively evaluate the degree of abnormality, a basic risk assessment is obtained based on the degree of abnormality. The defect impact range is calculated by dynamically accumulating the historical data of the equipment and the potential impact. The degree of abnormality and the defect impact range are combined to reflect the comprehensive impact using multiplication coupling. According to the results of the comprehensive impact, defects are handled in order of comprehensive impact from large to small, and patrol inspection points are adjusted according to the results of defect handling.

[0014] As a preferred scheme of the method for optimizing the equipment inspection system of a hydropower plant described in the present invention, the dynamic adjustment of the inspection points and the task cycle includes adjusting the inspection points and the task cycle according to the defect processing results. When the value of the comprehensive influence reflected by the multiplication coupling is greater than the specified threshold, it means that there are many defects and the inspection points are increased. When the value of the comprehensive influence reflected by the multiplication coupling is less than the specified threshold, it means that there are few defects and the inspection points are reduced. After determining the change value of the inspection points, the task cycle is optimized to meet the operating conditions after the actual increase or decrease of the points.

[0015] As a preferred solution of the method for optimizing the spot inspection system of a hydropower plant described in the present invention, the periodic trend analysis includes: after adjusting the point position and the task cycle, the patrol inspection acceptance module generates a patrol inspection report which is sent to the patrol inspection analysis module for periodic trend analysis to determine whether the spot inspection system is improved after optimization; Evaluate the change trend based on the number of defect handling results, and generate a trend score based on the defect number change rate and task cycle change; When the generated trend score is greater than the preset high threshold, the system believes that the number of defects has decreased, the task cycle has been effectively shortened, and the overall inspection work has developed in a beneficial direction, indicating that the equipment status and work efficiency of the inspection system have been improved; When the preset high threshold ≥ the generated trend score ≥ the preset low threshold, the system status remains stable, the number of defects fluctuates, but the overall inspection task does not change, prompting the maintenance team to continue monitoring the situation to ensure that no potential problems occur; When the generated trend score is less than the preset low threshold, it means that the system condition has deteriorated, the number of defects has increased, or the extension of the task cycle has failed to effectively improve the equipment status. Timely measures should be taken to re-add tracking points and patrol inspection points, update the task cycle, and prevent further problem development and equipment failure.

[0016] Another object of the present invention is to provide a hydropower plant equipment inspection system optimization system, which solves technical problems such as low efficiency, insufficient risk control and unreasonable resource allocation in the hydropower plant equipment inspection process, and achieves accurate monitoring and preventive maintenance of equipment status by establishing standards, dynamically adjusting inspection tasks, real-time supervision and tracking, defect management and periodic trend analysis, thereby improving the safety and reliability of equipment operation and reducing failure rate and maintenance costs.

[0017] As a preferred solution of the hydropower plant equipment inspection system optimization system described in the present invention, it includes a patrol inspection management module, a patrol inspection supervision module, a defect management module, a patrol inspection acceptance module and a patrol inspection analysis module; The patrol inspection management module establishes patrol inspection standards, sets key equipment and normal equipment according to actual project or personnel requirements, generates patrol inspection tasks, and assigns them to corresponding patrol inspection personnel, manages patrol inspection cycles, arranges online patrol inspections and offline patrol inspections, receives feedback from the patrol inspection supervision module, and dynamically adjusts patrol inspection points and task cycles; The patrol inspection supervision module supervises the execution of patrol inspection tasks and collects historical data of points, including fault history, equipment operation status, and environmental factors; calculates the abnormal risk value of each patrol inspection point and generates an overall abnormal risk threshold, generates tracking points according to the risk value, and displays the status and risk level of each patrol inspection point through the dashboard, provides real-time feedback on the task execution of patrol personnel, adjusts task priorities, analyzes the reasons for task delays, and generates improvement suggestions, and sends the abnormal report and improvement suggestions to the defect management module; The defect management module receives the abnormality report and improvement suggestions from the patrol inspection supervision module, generates a defect list, analyzes, classifies and prioritizes the defect data in real time, comprehensively evaluates the degree of abnormality and the scope of defect impact, handles the defects, and feeds back the defect handling results to the patrol inspection management module to adjust the patrol inspection points and task cycles; The patrol inspection acceptance module generates a patrol inspection report according to the execution status of the patrol inspection task, and sends the patrol inspection report to the patrol inspection analysis module for periodic trend analysis; The patrol inspection analysis module receives the patrol inspection report from the patrol inspection acceptance module, performs periodic trend analysis, evaluates the improvement of the inspection system after optimization, generates a trend scoring model, and feeds the analysis results back to the patrol inspection management module to further optimize the patrol inspection points and task cycles.

[0018] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of a method for optimizing a hydropower plant equipment inspection system when executing the computer program.

[0019] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for optimizing a hydropower plant equipment inspection system.

[0020] The beneficial effects of the invention are as follows: the invention improves the reliability of the inspection system, ensures that it can meet the requirements of digital power plants and sustainable upgrades, and independently upgrades and optimizes the software and hardware facilities of the original inspection system; the implementation of the intelligent inspection system promotes the application and promotion of related intelligent technologies in the hydropower industry, promotes the improvement of the industry's technical level, and has a good demonstration and driving effect on the entire industrial chain.

[0021] In order to solve the problem that the original inspection system had a single function and could not record and upload equipment defects in a timely manner, a defect management and statistical analysis module was added to the new inspection system in addition to the daily inspection function; potential problems were discovered and resolved in a timely manner, equipment failure rates were reduced, and repair and replacement costs were reduced, thereby saving maintenance costs and avoiding the increase in output value brought about by the reduction of non-stop and downtime. The inspection time for each operation staff was significantly shortened by 30 minutes compared with before.

[0022] The new inspection system is highly scalable and supports cross-platform access and multi-platform compatibility. It can be easily expanded to adapt to the growth of the hydropower plant scale and changes in demand. Task acceptance nodes are designed in the inspection task process execution to form a closed loop for the inspection task.

[0023] Create an offline inspection function. The original inspection system cannot exchange data with the system server in real time. The inspection system cannot record personnel inspection situations, and data will be lost or cannot be uploaded during the inspection situation upload process. Reduce human errors and operational errors, avoid losses caused by safety accidents due to equipment failures, and improve the management and stable operation level of equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 An overall flow chart of a method for optimizing a hydropower plant equipment inspection system provided by an embodiment of the present invention.

[0026] Figure 2 A system solution module diagram of a hydropower plant equipment inspection system optimization system provided by an embodiment of the present invention.

[0027] In the figure: 10, patrol inspection management module; 20, patrol inspection supervision module; 30, defect management module; 40, patrol inspection acceptance module; 50, patrol inspection analysis module. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0030] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an embodiment that is mutually exclusive with other embodiments, either individually or selectively.

[0031] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0032] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0033] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0034] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a method for optimizing a hydropower plant equipment inspection system, comprising: S1: Establish inspection standards, generate inspection tasks, and assign corresponding inspection personnel. Perform both online and offline inspections to manage the inspection cycle.

[0035] Specifically, establish inspection standards, manually set key equipment and normal equipment in the system according to actual project or personnel requirements, and measure the corresponding temperature, vibration, current, voltage and power factor data. When any inspection standard is met, generate an inspection task: Inspection standard 1 is that the operating temperature of all key equipment is maintained within ±5°C of the specified rated value. When the temperature of key equipment exceeds the first temperature threshold, that is, ±10°C of the rated value, an inspection task is triggered. When the equipment temperature exceeds the second temperature threshold, that is, ±15°C of the rated value, the system automatically generates an emergency inspection task and takes shutdown measures. Inspection standard 2 is to keep the vibration acceleration of all equipment less than the first equipment threshold. When the vibration acceleration exceeds the first equipment threshold but is less than the second equipment threshold, a patrol inspection task is triggered. When the vibration acceleration exceeds the second equipment threshold, the system automatically generates an emergency patrol inspection task and marks it as a high-risk device. The threshold is determined by the patrol inspection personnel. Inspection standard three is to keep the current and voltage of the equipment within the set range, and the power factor should be ≥0.95; when the current or voltage exceeds the first preset range, the inspection task is triggered, and the load and wiring status of the electrical system are required to be detected. When the current or voltage exceeds the second preset range or the power factor drops ≤0.9, the system automatically generates an emergency inspection task and triggers a system alarm; When, in the past three consecutive inspections, the equipment exceeds two data measurement monitoring indicators to trigger an inspection task and there is a tendency to generate an emergency inspection task, that is, when the data measurement results tend to the second threshold, defect processing is triggered at the same time, where the second threshold includes the second temperature threshold, the second equipment threshold, the second preset range, and the power factor drops below 0.9.

[0036] Furthermore, online inspection and offline inspection are performed simultaneously. When an inspection task is triggered, an online inspection is performed according to the inspection route generated by the inspection task. The offline inspection includes that after the inspection task is generated, the inspection task is pushed to the corresponding inspection personnel. The inspection personnel use the mobile inspection terminal to perform the inspection task according to the inspection task plan and the designated route. During the process, the mobile inspection terminal identifies the NFC tag and reads the current equipment health and equipment ledger information. After the inspection personnel check and confirm, they submit the inspection task, enter the current equipment offline value, take photos of the defective equipment on site and upload them to the server. When submitting the record, the system records the operating parameters of the defective equipment as a basis for later inspection. For the same inspection task, multiple inspection personnel can perform the inspection task at the same time. The inspection record distinguishes the execution status of each inspection personnel in the current inspection task according to the personnel. The functions include basic equipment configuration management, inspection object management, inspection task management, defect push, inspection standards, and statistical analysis. When in online inspection, establish a fault rate calculation based on historical fault data ,in, is the number of failures that occurred in time t, is the total time the equipment is running, and the inspection frequency is adjusted according to the failure rate: , in, is the adjusted inspection frequency, that is, the number of inspections generated by the system for the device; The inspection frequency is the initial setting, that is, the recommended inspection frequency when the equipment is in normal operation; To adjust the sensitivity coefficient of the failure rate to the inspection frequency and determine the degree of influence of the failure rate on the inspection frequency; is the acceptable failure rate threshold. When the inspection frequency is adjusted, an alert is triggered.

[0037] S2: During the execution of patrol inspection tasks, patrol inspection supervision and tracking are added. At the same time, patrol inspection personnel collect abnormal data when performing tasks and send it to the defect management module for defect processing.

[0038] Furthermore, the system continuously collects historical data of inspection points, including the fault history, equipment operating status, and environmental factors of each inspection point. By analyzing the completion of inspection tasks and historical abnormal data, the system calculates the abnormal risk value of each inspection point: , Where i is the variable index, is the abnormal risk value of the i-th inspection point, is the number of failures at the i-th inspection point, i.e., the historical failure record; is the environmental factor feedback recorded in the last inspection of the i-th inspection point, is the weight coefficient of environmental factors, reflecting the influence of environmental factors on faults; is the urgency score of the i-th inspection point, reflecting the severity of the problem. The scores include 1, 2, 3, 4 and 5. It is the total running time since the last inspection, which measures the running time of the point currently inspected; The weight coefficient for urgency scoring; Combine the risk values ​​of all points to calculate the overall abnormal risk threshold: , in, is the overall abnormal risk threshold, is the total number of inspection points, that is, the number of all inspection points involved in the evaluation; when > and >2, three tracking points are generated at the current position; when > and =1 or =2, two tracking points are generated at the current position; when ≤ When , a tracking point is generated at the current point; According to the number of tracking points generated, all tracking points are connected in series and displayed in a graphical way. The dashboard is used to present the status and risk level information of each inspection point. At the same time, the completion time of the task is monitored, and the equipment status and historical abnormal data are evaluated. The abnormal report is automatically generated and sent, including the abnormal description, possible impact and urgency; Inspectors provide real-time feedback through mobile terminals, record the progress of tasks, and adjust task priorities based on real-time feedback. When a task is delayed, the system automatically analyzes the cause of the delay and generates improvement suggestions, maintaining real-time tracking and supervision.

[0039] It should be noted that when the tracking point evaluates the equipment status and historical abnormal data, the generated improvement suggestions and abnormal reports are generated into defect tickets, and the system performs real-time analysis, classification and priority sorting of defect data, and generates defect handling based on the degree of abnormality and the scope of defect impact; Consider the number of tracking points generated and the risk value to comprehensively evaluate the degree of abnormality for: , in, is the adjustment parameter of the risk value’s sensitivity to the abnormality level, The risk value threshold is set to distinguish between normal and abnormal states; The number of tracking points generated includes 1 tracking point, 2 tracking points, and 3 tracking points; The frequency of defect occurrence as specified in the equipment routine; Get a basic risk assessment based on the degree of abnormality, and dynamically calculate the impact range of defects by considering the equipment's historical data and potential impacts : , in, Comprehensive score for historical faults, Score the potential financial loss, is a small constant used to avoid division by zero; The degree of abnormality and the scope of defect impact will be combined to reflect the comprehensive impact using multiplication coupling : , According to the comprehensive impact results, defects are processed in descending order of comprehensive impact, and the inspection points are adjusted according to the defect processing results. To adjust the sensitivity of the priority level to the historical fault score.

[0040] S3: Based on the results of defect processing, the patrol inspection points and task cycles are dynamically adjusted. After the adjustment, the patrol inspection acceptance module generates a patrol inspection report which is sent to the patrol inspection analysis module for periodic trend analysis.

[0041] Furthermore, according to the defect handling results, the inspection points and task cycles are adjusted. Greater than the specified threshold If there are many defects, increase the number of inspection points. ,when Less than the specified threshold , it means there are fewer defects and fewer inspection points , after determining the inspection point change value ΔP, optimize the task cycle to meet the actual operating conditions after increasing or decreasing the points: , in, Indicates the change in the task cycle, represents the original task cycle, It represents the risk adjustment factor, which adjusts the magnitude of periodic changes; Indicates the total number of inspection points before adjustment. It represents the parameter used to control the intensity of the influence of the number of points on the period adjustment. Indicates the number of additional inspection points. Indicates the coefficient of increasing the point. Indicates the current number of defect processing results. Indicates the upper threshold of the defined defect quantity. When this value is exceeded, additional points will be considered. represents the basic increase coefficient, Indicates the number of inspection points reduced. Indicates the coefficient of reducing the points, Indicates the lower limit threshold of the defined defect quantity, below which the points are considered to be reduced; Represents the basic reduction coefficient.

[0042] It should be noted that after adjusting the points and task cycles, the patrol inspection acceptance module generates a patrol inspection report which is sent to the patrol inspection analysis module for cycle trend analysis to determine whether the inspection system has improved after optimization; Evaluate the change trend based on the number of defect handling results: , in, is the defect quantity change rate, is the number of defects at the current time t, is the number of defects at the previous time point; Combine the defect quantity change rate and task cycle change to generate a trend score: , in, Represents a trend score, which is used to quantitatively evaluate the trend of defect resolution; To assign a weight to the rate of change of the number of defects, To give weight to task cycle changes; when When , the system believes that the number of defects has decreased, the task cycle has been effectively shortened, and the overall inspection work has developed in a beneficial direction, indicating that the equipment status and work efficiency of the inspection system have been improved; when When , the system status remains stable, the number of defects fluctuates, but the overall inspection task does not change, prompting the maintenance team to continue monitoring the situation to ensure that no potential problems occur; when When the number of defects increases, it means that the system condition has deteriorated, the number of defects has increased, or the extension of the task cycle has not effectively improved the equipment status. Timely measures should be taken to add tracking points and patrol inspection points, update the task cycle, and prevent further problems and equipment failures. in, and They are the preset high and low thresholds respectively.

[0043] Embodiment 2, the second embodiment of the present invention, is different from the previous embodiment in that: If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0044] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0045] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0046] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0047] Example 3, reference Figure 2 , which is the third embodiment of the present invention, and provides a hydropower plant equipment inspection system optimization system, including a patrol inspection management module 10, a patrol inspection supervision module 20, a defect management module 30, a patrol inspection acceptance module 40 and a patrol inspection analysis module 50; The inspection management module 10 establishes inspection standards, sets key equipment and normal equipment according to actual project or personnel requirements, generates inspection tasks, and assigns them to corresponding inspection personnel, manages inspection cycles, arranges online inspections and offline inspections, receives feedback from the inspection supervision module, and dynamically adjusts inspection points and task cycles; The patrol inspection supervision module 20 supervises the execution of patrol inspection tasks and collects historical data of points, including fault history, equipment operation status, and environmental factors; calculates the abnormal risk value of each patrol inspection point and generates an overall abnormal risk threshold, generates tracking points according to the risk value, and displays the status and risk level of each patrol inspection point through the dashboard, provides real-time feedback on the task execution of patrol personnel, adjusts task priorities, analyzes the reasons for task delays, and generates improvement suggestions, and sends the abnormal report and improvement suggestions to the defect management module 30; The defect management module 30 receives the abnormality reports and improvement suggestions from the patrol inspection supervision module, generates defect orders, analyzes, classifies and prioritizes defect data in real time, comprehensively evaluates the degree of abnormality and the scope of defect impact, handles defects, and feeds back the defect handling results to the patrol inspection management module 10 to adjust the patrol inspection points and task cycles; The patrol inspection acceptance module 40 generates a patrol inspection report according to the execution status of the patrol inspection task, and sends the patrol inspection report to the patrol inspection analysis module 50 for periodic trend analysis; The patrol inspection analysis module 50 receives the patrol inspection report from the patrol inspection acceptance module 40, performs periodic trend analysis, evaluates the improvement of the inspection system after optimization, generates a trend scoring model, and feeds back the analysis results to the patrol inspection management module 10 to further optimize the patrol inspection points and task cycles.

[0048] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing a hydropower plant equipment inspection system, characterized in that: include, Establish inspection standards, generate inspection tasks, and assign corresponding inspection personnel. Perform both online and offline inspections and manage inspection cycles. During the inspection task execution, inspection supervision and tracking are added. At the same time, inspection personnel collect abnormal data when performing tasks and send it to the defect management module for defect processing; Based on the results of defect processing, the patrol inspection points and task cycles are dynamically adjusted. After the adjustment, the patrol inspection acceptance module generates a patrol inspection report which is sent to the patrol inspection analysis module for periodic trend analysis. The cycle trend analysis includes, after adjusting the point position and task cycle, generating a patrol inspection report through the patrol inspection acceptance module and sending it to the patrol inspection analysis module for cycle trend analysis to determine whether the inspection system is improved after optimization; Evaluate the change trend based on the number of defect handling results, and generate a trend score based on the defect number change rate and task cycle change; When the generated trend score is greater than the preset high threshold, the system believes that the number of defects has decreased, the task cycle has been effectively shortened, and the overall inspection work has developed in a beneficial direction, indicating that the equipment status and work efficiency of the inspection system have been improved; When the preset high threshold ≥ the generated trend score ≥ the preset low threshold, the system status remains stable, the number of defects fluctuates, but the overall inspection task does not change, prompting the maintenance team to continue monitoring the situation to ensure that no potential problems occur; When the generated trend score is less than the preset low threshold, it means that the system condition has deteriorated, the number of defects has increased, or the extension of the task cycle has failed to effectively improve the equipment status. Timely measures should be taken to re-add tracking points and patrol inspection points, update the task cycle, and prevent further problem development and equipment failure.

2. A method for optimizing a hydropower plant equipment inspection system according to claim 1, characterized in that: The inspection standards include establishing inspection standards, manually setting key equipment and normal equipment in the system according to actual project or personnel requirements, and measuring the corresponding temperature, vibration, current, voltage and power factor data. When any inspection standard is met, an inspection task is generated: Inspection standard 1 is that the operating temperature of all key equipment is maintained between the specified rated values; when the temperature of the key equipment exceeds the first temperature threshold, an inspection task is triggered; when the equipment temperature exceeds the second temperature threshold, the system automatically generates an emergency inspection task and takes shutdown measures; Inspection standard 2 is to keep the vibration acceleration of all equipment less than the first equipment threshold. When the vibration acceleration exceeds the first equipment threshold but is less than the second equipment threshold, a inspection task is triggered. When the vibration acceleration exceeds the second equipment threshold, the system automatically generates an emergency inspection task and marks it as a high-risk device. Inspection standard three is to keep the current and voltage of the equipment within the set range, and the power factor should be ≥0.95; when the current or voltage exceeds the first preset range, the inspection task is triggered, and the load and wiring status of the electrical system are required to be detected. When the current or voltage exceeds the second preset range or the power factor drops ≤0.9, the system automatically generates an emergency inspection task and triggers a system alarm; When, in the past three consecutive inspections, the equipment exceeds two data measurement monitoring indicators to trigger an inspection task and there is a tendency to generate an emergency inspection task, that is, when the data measurement results tend to the second threshold, defect processing is triggered at the same time, where the second threshold includes the second temperature threshold, the second equipment threshold, the second preset range, and the power factor drops below 0.

9.

3. A method for optimizing a hydropower plant equipment inspection system as claimed in claim 2, characterized in that: The patrol inspection cycle management includes performing online patrol inspection and offline patrol inspection at the same time. When the patrol inspection task is triggered, the patrol inspection route is generated according to the patrol inspection task to perform online patrol inspection; When in online inspection, establish a fault occurrence rate calculation based on historical fault data and adjust the inspection frequency according to the fault occurrence rate; The offline inspection includes: after the inspection task is generated, the inspection task is pushed to the corresponding inspection personnel. The inspection personnel use the mobile inspection terminal to perform the inspection task according to the inspection task plan and the designated route. During the process, the mobile inspection terminal identifies the NFC tag and reads the current equipment health and equipment ledger information. After checking and confirming, the inspection personnel submit the inspection task, enter the current equipment offline value, take photos of the defective equipment on site and upload them to the server. When submitting the record, the system records the operating parameters of the defective equipment as a basis for later inspection. For the same inspection task, multiple inspection personnel can perform the inspection task at the same time. The inspection record distinguishes the execution status of each inspection personnel in the current inspection task according to the personnel. Functions include basic equipment configuration management, inspection object management, inspection task management, defect push, inspection standards, and statistical analysis.

4. A method for optimizing a hydropower plant equipment inspection system as claimed in claim 3, characterized in that: The patrol inspection supervision and tracking includes that the system continuously collects historical data of patrol inspection points, including the fault history, equipment operation status, and environmental factors of each patrol inspection point, and calculates the abnormal risk value of each patrol inspection point by analyzing the completion status of the patrol inspection task and historical abnormal data; Combine the risk values ​​of all points and set the overall abnormal risk threshold: when the abnormal risk value > the overall abnormal risk threshold and the number of failures at the inspection point is greater than 2, three tracking points are generated at the current point; When the abnormal risk value is greater than the overall abnormal risk threshold and the number of failures at the inspection point is 1 or 2, two tracking points are generated at the current point; When the abnormal risk value is ≤ the overall abnormal risk threshold, a tracking point is generated at the current point; According to the number of tracking points generated, all tracking points are connected in series and displayed in a graphical way. The dashboard is used to present the status and risk level information of each inspection point. At the same time, the completion time of the task is monitored, and the equipment status and historical abnormal data are evaluated. The abnormal report is automatically generated and sent, including the abnormal description, possible impact and urgency; Inspectors provide real-time feedback through mobile terminals, record the progress of tasks, and adjust task priorities based on real-time feedback. When a task is delayed, the system automatically analyzes the cause of the delay and generates improvement suggestions, maintaining real-time tracking and supervision.

5. A method for optimizing a hydropower plant equipment inspection system as claimed in claim 4, characterized in that: The defect handling includes generating defect tickets from generated improvement suggestions and exception reports when the tracking point evaluates the equipment status and historical abnormal data, and the system performs real-time analysis, classification and priority sorting of defect data to generate defect handling based on the degree of abnormality and the scope of defect impact; Considering the number of tracking points generated and the risk value to comprehensively evaluate the degree of abnormality, a basic risk assessment is obtained based on the degree of abnormality. The defect impact range is calculated by dynamically accumulating the historical data of the equipment and the potential impact. The degree of abnormality and the defect impact range are combined to reflect the comprehensive impact using multiplication coupling. According to the results of the comprehensive impact, defects are handled in order of comprehensive impact from large to small, and patrol inspection points are adjusted according to the results of defect handling.

6. A method for optimizing a hydropower plant equipment inspection system as claimed in claim 5, characterized in that: The dynamic adjustment of the patrol inspection points and task cycles includes adjusting the patrol inspection points and task cycles according to the defect processing results. When the value of the comprehensive impact reflected by the multiplication coupling is greater than the specified threshold, it means that there are many defects and the patrol inspection points are increased. When the value of the comprehensive impact reflected by the multiplication coupling is less than the specified threshold, it means that there are few defects and the patrol inspection points are reduced. After determining the change value of the patrol inspection points, the task cycle is optimized to meet the operating conditions after the actual increase or decrease of the points.

7. A hydropower plant equipment inspection system optimization system, using a hydropower plant equipment inspection system optimization method as described in any one of claims 1 to 6, characterized in that: It includes patrol inspection management module, patrol inspection supervision module, defect management module, patrol inspection acceptance module and patrol inspection analysis module; The patrol inspection management module establishes patrol inspection standards, sets key equipment and normal equipment according to actual project or personnel requirements, generates patrol inspection tasks, and assigns them to corresponding patrol inspection personnel, manages patrol inspection cycles, arranges online patrol inspections and offline patrol inspections, receives feedback from the patrol inspection supervision module, and dynamically adjusts patrol inspection points and task cycles; The patrol inspection supervision module supervises the execution of patrol inspection tasks and collects historical data of points, including fault history, equipment operating status, and environmental factors; Calculate the abnormal risk value of each inspection point and generate the overall abnormal risk threshold. Generate tracking points based on the risk value and display the status and risk level of each inspection point through the dashboard. Provide real-time feedback on the inspection personnel's task execution, adjust task priorities, analyze the reasons for task delays, generate improvement suggestions, and send abnormal reports and improvement suggestions to the defect management module. The defect management module receives the abnormality report and improvement suggestions from the patrol inspection supervision module, generates a defect list, analyzes, classifies and prioritizes the defect data in real time, comprehensively evaluates the degree of abnormality and the scope of defect impact, handles the defects, and feeds back the defect handling results to the patrol inspection management module to adjust the patrol inspection points and task cycles; The patrol inspection acceptance module generates a patrol inspection report according to the execution status of the patrol inspection task, and sends the patrol inspection report to the patrol inspection analysis module for periodic trend analysis; The patrol inspection analysis module receives the patrol inspection report from the patrol inspection acceptance module, performs periodic trend analysis, evaluates the improvement of the inspection system after optimization, generates a trend scoring model, and feeds the analysis results back to the patrol inspection management module to further optimize the patrol inspection points and task cycles.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for optimizing a hydropower plant equipment inspection system according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for optimizing a hydropower plant equipment inspection system according to any one of claims 1 to 6 are implemented.

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