A method and system for optimizing a point inspection system of a hydropower plant equipment

Abstract

The application discloses a kind of hydropower plant equipment point inspection system optimization method and system, belong to hydropower plant equipment management technical field, including establishing patrol point inspection standard, generating patrol point inspection task, and corresponding patrol point inspection personnel are distributed while carrying out online patrol point inspection and offline patrol point inspection, carry out patrol point inspection period management;In the execution process of patrol point inspection task, increase patrol point inspection supervision tracking, simultaneously, abnormal data is collected when patrol point inspection personnel executes task and is sent into defect management module to carry out defect processing;Based on the result of defect processing, dynamically adjust patrol point inspection point and task period, after adjustment, generate patrol point inspection report by patrol point inspection acceptance module and send into patrol point inspection analysis module to carry out period trend analysis.The application intelligently generates patrol point inspection task, realizes the organic combination of online patrol point inspection and offline patrol point inspection, improves inspection efficiency, realizes the closed-loop management of defect processing, optimizes inspection resource allocation, and improves equipment management level.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of hydropower plant equipment management, and particularly relates to a hydropower plant equipment point inspection system optimization method and system. BACKGROUND

[0002] In the field of hydropower plant equipment management, with the continuous progress of science and technology, the equipment point inspection system has become an important means to ensure the safe and efficient operation of the hydropower plant. The traditional point inspection system mainly relies on manual experience and finds potential faults by regularly checking the equipment. However, the efficiency and accuracy of this method are often limited, making it difficult to meet the high requirements of modern hydropower plants for equipment management.

[0003] The existing hydropower plant equipment point inspection system has the following shortcomings: the original system frequently has defects, the point inspection equipment gradually ages, the equipment failure rate is high, and the plant personnel participate in the construction to a low degree.

[0004] The original system inspection situation does not form a closed loop, and the inspection situation has no inspection and evaluation function. The inspection task does not form a closed loop on the system.

[0005] The original system has a single function, cannot include new equipment in the inspection point, and cannot record and upload the equipment defects and faults found during the inspection process in time.

[0006] The original system cannot meet the requirements of underground plant, and the original point inspection system cannot interact with the system server in real time. When the inspection personnel arrive at the area without network coverage, the point inspection system cannot record the personnel inspection situation.

[0007] The hydropower plant equipment point inspection system optimization method proposed by the application aims to improve the intelligence, efficiency and reliability of the hydropower plant equipment point inspection system through these optimization measures, and provides strong protection for the stable operation of the hydropower plant. SUMMARY

[0008] In view of the above existing problems, the application develops a hydropower plant equipment point inspection system optimization method, upgrades and optimizes the original point inspection system software and hardware facilities, perfects the point inspection function, optimizes the design task creation, point increase and task closed loop function, and creates an offline mode.

[0009] To solve the above technical problems, a hydropower plant equipment point inspection system optimization method is proposed, which includes,

[0010] Establishing the patrol inspection standard, generating the patrol inspection task, and distributing the corresponding patrol inspection personnel, and simultaneously performing the online patrol inspection and the offline patrol inspection, and performing the patrol inspection cycle management; in the patrol inspection task execution process, increasing the patrol inspection supervision tracking, and simultaneously, the patrol inspection personnel collect the abnormal data and send the abnormal data into the defect management module for defect processing when performing the task; based on the defect processing result, dynamically adjusting the patrol inspection point and the task cycle, and generating the patrol inspection report through the patrol inspection acceptance module after the adjustment and sending the patrol inspection report into the patrol inspection analysis module for the cycle trend analysis.

[0011] As a preferred scheme of the water power plant equipment point inspection system optimization method, the patrol inspection standard comprises: establishing the patrol inspection standard, manually setting the key equipment and the normal equipment in the system according to the actual project or personnel requirements, and performing the data measurement of the corresponding temperature, vibration, current, voltage and power factor, and generating the patrol inspection task when any patrol inspection standard is met:

[0012] The first patrol inspection standard is that the operating temperature of all the key equipment is kept between the specified rated values; when the temperature of the key equipment exceeds the first temperature threshold value, the patrol inspection task is triggered to be generated; when the equipment temperature exceeds the second temperature threshold value, the system automatically generates the emergency patrol inspection task and takes the shutdown measures;

[0013] The second patrol inspection standard is that the vibration acceleration of all the equipment is kept < the first equipment threshold value; when the vibration acceleration exceeds the first equipment threshold value but is less than the second equipment threshold value, the patrol inspection task is triggered to be generated; when the vibration acceleration exceeds the second equipment threshold value, the system automatically generates the emergency patrol inspection task and marks the equipment as the high-risk equipment;

[0014] The third patrol inspection standard is that the current and the voltage of the equipment are kept in the set range, and the power factor should be ≥0.95; when the current or the voltage exceeds the first preset range, the patrol inspection task is triggered, and the load and the wiring condition of the electrical system are required to be detected; when the current or the voltage exceeds the second preset range or the power factor drops to ≤0.9, the system automatically generates the emergency patrol inspection task and triggers the system alarm;

[0015] When in the past three consecutive patrol inspections, the equipment exceeds two data measurement monitoring indexes to trigger the patrol inspection task and has the trend of generating the emergency patrol inspection task, that is, the data measurement result tends to the second threshold value, the defect processing is simultaneously triggered, wherein the second threshold value comprises the second temperature threshold value, the second equipment threshold value, the second preset range and the power factor drop to 0.9 or below.

[0016] As a preferred scheme of the water power plant equipment point inspection system optimization method, the patrol inspection cycle management comprises: simultaneously performing the online patrol inspection and the offline patrol inspection, and when the patrol inspection task is triggered, the online patrol inspection is performed according to the patrol inspection route generated by the patrol inspection task;

[0017] When being in online inspection, a failure occurrence rate is calculated based on historical failure data, and the inspection frequency is adjusted according to the failure occurrence rate;

[0018] The offline point inspection comprises: after the generation of the point inspection task, the point inspection task is pushed to corresponding point inspection personnel; the point inspection personnel uses a mobile point inspection terminal to execute the point inspection task according to a specified route according to the point inspection task plan; in the process, the point inspection terminal is used to identify the NFC tag, read the current equipment health and equipment account information, the point inspection personnel checks and confirms, submits the point inspection task, inputs the current equipment offline value, takes a photo of the defective equipment on site and uploads the photo to the server, and when the record is submitted, the system records the operating parameters of the defective equipment as a basis for later inspection, wherein the same point inspection task can be executed by multiple point inspection personnel at the same time, the execution of each point inspection personnel in the current point inspection task is distinguished according to personnel in the point inspection record, and the functions include basic equipment configuration management, point inspection object management, point inspection task management, defect pushing, point inspection standard and statistical analysis.

[0019] As a preferred scheme of the water power plant equipment point inspection system optimization method, wherein: the point inspection supervision and tracking comprises: the system continuously collects historical data of the point of the point inspection, including the failure history, the equipment operating state and the environmental factors of each point of the point inspection, the abnormal risk value of each point of the point inspection is calculated by analyzing the completion of the inspection task and the historical abnormal data;

[0020] The overall abnormal risk threshold value is set in combination with the risk values of all points: when the abnormal risk value is greater than the overall abnormal risk threshold value and the failure times of the point of the point inspection are greater than 2, 3 tracking points are generated at the current point;

[0021] When the abnormal risk value is greater than the overall abnormal risk threshold value and the failure times of the point of the point inspection are 1 or 2, 2 tracking points are generated at the current point;

[0022] When the abnormal risk value is less than or equal to the overall abnormal risk threshold value, 1 tracking point is generated at the current point;

[0023] According to the number of generated tracking points, all tracking points are connected in series and displayed in a graphical manner, the state and risk level information of each inspection point are presented by using a dashboard, the completion time of the monitoring task is monitored, the equipment state and historical abnormal data are evaluated, an abnormal report including abnormal description, possible influence and emergency degree is automatically generated and sent;

[0024] The inspection personnel feed back in real time through the mobile terminal, record the state of the task, adjust the task priority based on the real-time feedback, when the task is delayed, the system automatically analyzes the delay reason and generates improvement suggestions, and keeps track of the supervision in real time.

[0025] As a preferred scheme of the water power plant equipment point inspection system optimization method, wherein: the defect processing includes generating a defect single based on the generated improvement suggestions and abnormal reports when tracking point evaluates equipment state and historical abnormal data, the system performs real-time analysis, classification and priority sorting of defect data, and generates defect processing based on abnormal degree and defect impact range;

[0026] The abnormal degree is comprehensively evaluated considering the number and risk value of the tracking points, a basic risk evaluation is obtained according to the abnormal degree, the defect impact range is calculated considering the historical data and potential impact of the equipment, and the comprehensive impact is reflected by multiplication coupling combined with the abnormal degree and the defect impact range;

[0027] According to the result of the comprehensive impact, the defect processing is performed in the order from large to small according to the comprehensive impact degree, and the adjustment of the point inspection point is performed according to the result of the defect processing.

[0028] As a preferred scheme of the water power plant equipment point inspection system optimization method, wherein: the dynamic adjustment of the point inspection point and the task cycle includes adjusting the point inspection point and the task cycle according to the defect processing result, when the value of the comprehensive impact reflected by multiplication coupling is greater than a specified threshold value, it indicates that there are many defects, and the point inspection point is increased, when the value of the comprehensive impact reflected by multiplication coupling is less than a specified threshold value, it indicates that there are few defects, and the point inspection point is reduced, and after determining the change value of the point inspection point, the task cycle is optimized to meet the operating conditions after increasing or reducing the point.

[0029] As a preferred scheme of the water power plant equipment point inspection system optimization method, wherein: the periodic trend analysis includes generating a point inspection report by the point inspection acceptance module after adjusting the point and the task cycle, and sending the report to the point inspection analysis module for periodic trend analysis to determine whether the point inspection system is improved after optimization.

[0030] The change trend is evaluated according to the number of defect processing results, and the trend score is generated combined with the defect number change rate and the task cycle change;

[0031] When the generated trend score is greater than a preset high threshold value, the system considers that the number of defects is reduced, the task cycle is effectively shortened, the effect of the overall point inspection work is developing in a beneficial direction, indicating that the point inspection system equipment state and work efficiency are improved;

[0032] When the preset high threshold value is greater than or equal to the generated trend score and the generated trend score is greater than or equal to a preset low threshold value, the state of the system remains stable, the number of defects fluctuates, but the overall point inspection task does not change, prompting the maintenance team to continue to monitor the situation to ensure that there is no potential problem;

[0033] When the generated trend score is less than a preset low threshold, it indicates that the system condition is deteriorating, the number of defects is increasing, or the extension of the task cycle fails to effectively improve the equipment state, and timely measures are taken to increase tracking points and patrol inspection points, update the task cycle, and prevent further problem development and equipment failure.

[0034] Another object of the present application is to provide a hydropower plant equipment inspection system optimization system, which solves the technical problems of low efficiency, insufficient risk control, and unreasonable resource allocation in the process of hydropower plant equipment inspection, and realizes accurate monitoring and preventive maintenance of equipment state through establishment of standards, dynamic adjustment of inspection tasks, real-time supervision and tracking, defect management, and cycle trend analysis, thereby improving the safety and reliability of equipment operation and reducing the failure rate and maintenance cost.

[0035] As a preferred scheme of the hydropower plant equipment inspection system optimization system, the system comprises 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.

[0036] 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 distributes them to corresponding patrol inspection personnel, manages patrol inspection cycles, arranges online and offline patrol inspections, receives feedback from the patrol inspection supervision module, and dynamically adjusts patrol inspection points and task cycles.

[0037] The patrol inspection supervision module supervises the execution of patrol inspection tasks, collects historical data of points, including fault history, equipment operating state, and environmental factors, calculates abnormal risk values of each patrol inspection point, generates an overall abnormal risk threshold, generates tracking points according to risk values, displays the state and risk level of each inspection point through a dashboard, real-time feedbacks the task execution of patrol inspection personnel, adjusts the task priority, analyzes the cause of task delay, generates improvement suggestions, sends the abnormal report and improvement suggestions to the defect management module, and adjusts the patrol inspection points and task cycles according to the feedback from the defect management module.

[0038] The defect management module receives the abnormal report and improvement suggestions from the patrol inspection supervision module, generates a defect single, analyzes, classifies, and prioritizes defect data in real time, comprehensively evaluates the abnormal degree and defect influence range, processes defects, and feeds back the defect processing result to the patrol inspection management module to adjust the patrol inspection points and task cycles.

[0039] The patrol inspection acceptance module generates a patrol inspection report according to the execution of the patrol inspection task, and sends the patrol inspection report to the patrol inspection analysis module for cycle trend analysis.

[0040] The patrol inspection analysis module receives the patrol inspection report of the patrol inspection acceptance module, performs periodic trend analysis, evaluates the improvement of the optimized point inspection system, generates a trend score model, and feeds back the analysis result to the patrol inspection management module, so as to further optimize the patrol inspection point and the task cycle.

[0041] A computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the water power plant equipment point inspection system optimization method when executing the computer program.

[0042] A computer readable storage medium stores a computer program, and the computer program implements the steps of the water power plant equipment point inspection system optimization method when executed by a processor.

[0043] The beneficial effects of the present application are: the present application improves the reliability of the point inspection system and ensures that it can meet the requirements of digital power plants and sustainable upgrading, and independently upgrades and optimizes the original point inspection system software and hardware facilities; the implementation of the intelligent point inspection system promotes the application and promotion of related intelligent technologies in the hydropower industry, and promotes the improvement of the industry technology level, which has a good demonstration and driving effect on the entire industrial chain.

[0044] The new point inspection system solves the problem that the original point inspection system has single function and cannot record and upload equipment defects in time, and a defect management and statistical analysis module is designed in the new point inspection system in addition to the daily inspection function; potential problems are found and solved in time, the equipment failure rate is reduced, the maintenance and replacement cost is reduced, thereby saving the maintenance cost, avoiding the production value improvement caused by the reduction of non-stop and downtime, and the operation shift personnel significantly shorten the inspection time by 30 minutes compared with the previous time.

[0045] The new point inspection system has strong scalability, supports cross-platform access and multi-platform compatibility, and can be easily expanded to adapt to the growth of the hydropower plant scale and the change of the demand. Task acceptance nodes are designed in the inspection task process execution, so that the inspection task forms a closed loop.

[0046] The offline inspection function is created, the original point inspection system cannot interact with the system server in real time, the point inspection system cannot record the personnel inspection condition, and data loss or uploading failure may occur during the inspection condition uploading process; human errors and operation mistakes are reduced, the loss caused by safety accidents due to equipment failure is avoided, and the management and stable operation level of the equipment is improved. BRIEF DESCRIPTION OF DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced. Obviously, the drawings in the following description only constitute some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0048] Figure 1 The overall flow chart of the water power plant equipment point inspection system optimization method provided by one embodiment of the present application is shown in the figure.

[0049] Figure 2 The system scheme module diagram of the water power plant equipment point inspection system optimization system provided by one embodiment of the present application is shown in the figure.

[0050] In the figure: 10, point inspection management module; 20, point inspection supervision module; 30, defect management module; 40, point inspection acceptance module; 50, point inspection analysis module. DETAILED DESCRIPTION

[0051] In order to make the above objectives, features and advantages of the present application more apparent and comprehensible, the specific embodiments of the present application will be described in detail below with reference to the drawings in the specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present application.

[0052] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application. However, the present application can be practiced in other manners different from those described herein, and those skilled in the art can make similar generalizations without departing from the scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0053] Secondly, the "one embodiment" or "embodiment" referred to herein can include specific features, structures or characteristics contained in at least one implementation of the present application. The "in one embodiment" appearing in different places in the specification does not refer to the same embodiment, nor does it exclude other embodiments alone or selectively.

[0054] The present application is described in detail in combination with the schematic diagram. In the detailed description of the embodiments of the present application, the cross-sectional view of the device structure is locally enlarged without the general proportion for the convenience of description, and the schematic diagram is only an example, which should not limit the scope of protection of the present application. In addition, the three-dimensional spatial dimensions of length, width and depth should be included in the actual manufacture.

[0055] Meanwhile, in the description of the present application, it should be noted that the terms "upper, lower, inner and outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first, second or third" are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0056] Unless otherwise expressly specified and limited, the terms "mounting, connecting, connecting" in the present application should be understood broadly, for example: it can be fixed connection, detachable connection or integral connection; it can also be mechanical connection, electrical connection or direct connection, it can also be indirectly connected through intermediate medium, or it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0057] Embodiment 1, reference Figure 1 As the first embodiment of the present application, the embodiment provides a method for optimizing the equipment inspection system of a hydropower plant, comprising:

[0058] S1: Establishing the inspection standard, generating the inspection task, and distributing the corresponding inspection personnel, while performing online and offline inspection, and performing the inspection cycle management.

[0059] Specifically, the inspection standard is established, the key equipment and normal equipment in the system are manually set according to the actual project or personnel requirements, and the data measurement of the corresponding temperature, vibration, current, voltage and power factor is performed, and when any inspection standard is met, the inspection task is generated:

[0060] The first inspection standard is that the operating temperature of all key equipment is kept within ±5℃ of the specified rated value; when the temperature of the key equipment exceeds the first temperature threshold, i.e. ±10℃ of the rated value, the inspection task is triggered to be generated, and when the temperature of the equipment exceeds the second temperature threshold, i.e. ±15℃ of the rated value, the system automatically generates an emergency inspection task and takes the shutdown measures;

[0061] The second inspection standard is to keep the vibration acceleration of all equipment < the first equipment threshold; when the vibration acceleration exceeds the first equipment threshold but is less than the second equipment threshold, the inspection task is triggered to be generated, and when the vibration acceleration exceeds the second equipment threshold, the system automatically generates an emergency inspection task and marks it as a high-risk equipment, and the threshold is determined by the inspection personnel;

[0062] The third standard for the point inspection is that the current and voltage of the equipment are kept within a set range, and the power factor should be greater than or equal to 0.95; when the current or voltage exceeds the first preset range, the point inspection task is triggered, and the load and wiring condition of the electrical system are required to be detected; when the current or voltage exceeds the second preset range or the power factor decreases to less than or equal to 0.9, the system automatically generates an emergency point inspection task and triggers a system alarm;

[0063] When, in the past three consecutive point inspections, the equipment exceeds two data measurements of the monitoring indicators to trigger the point inspection task and has a tendency to generate an emergency point inspection task, that is, the data measurement result tends to the second threshold value, a defect processing is triggered at the same time, wherein the second threshold value includes a second temperature threshold value, a second equipment threshold value, a second preset range, and a power factor decreasing to less than or equal to 0.9.

[0064] Further, the online point inspection and the offline point inspection are performed at the same time, and after the point inspection task is triggered, the online point inspection is performed according to the point inspection route generated by the point inspection task;

[0065] The offline point inspection includes that after the point inspection task is generated, the point inspection task is pushed to the corresponding point inspection personnel, the point inspection personnel uses a mobile point inspection terminal, executes the point inspection task according to the point inspection task plan and the specified route, identifies the NFC tag through the mobile point inspection terminal during the process, reads the current equipment health and equipment account information, submits the point inspection task after the point inspection personnel checks and confirms, inputs the current equipment offline value, takes a photo of the defective equipment on site and uploads it to the server, and records the defect equipment operating parameters when the record is submitted, which serves as a basis for later inspection, wherein multiple point inspection personnel can execute the point inspection task at the same time in the same point inspection task, and the execution of each point inspection personnel in the current point inspection task is distinguished according to the personnel in the point inspection record, and the functions include basic equipment configuration management, point inspection object management, point inspection task management, defect pushing, point inspection standard, and statistical analysis;

[0066] When in the online inspection, the failure rate is calculated based on historical failure data wherein, is the number of failures occurring in time t, is the total time of equipment operation, and the inspection frequency is adjusted according to the failure rate:

[0067] ,

[0068] wherein, is the adjusted inspection frequency, that is, the number of inspections generated by the system for the equipment; is the initial set inspection frequency, that is, the recommended inspection frequency of the equipment in the normal operation state; is a sensitivity coefficient for adjusting the failure rate to the inspection frequency, which determines the degree of influence of the failure rate on the inspection frequency; is acceptable, when exceeded an alarm is triggered to adjust the frequency of inspection.

[0069] S2: During the execution of the inspection task, the inspection supervision tracking is increased, and the inspection personnel collects abnormal data during the execution of the task and sends the abnormal data to the defect management module for defect processing.

[0070] Further, the system continuously collects historical data of the inspection points, including the fault history, the equipment running state, and the environmental factors of each inspection point, calculates the abnormal risk value of each inspection point by analyzing the completion of the inspection task and the historical abnormal data, and calculates the abnormal risk value of each inspection point:

[0071] ,

[0072] wherein i is a variable index, is the abnormal risk value of the i-th inspection point, is the number of faults of the i-th inspection point, i.e., the historical fault record; is the environmental factor feedback recorded by the i-th inspection point in the last inspection, is the weight coefficient of the environmental factor, reflecting the influence degree of the environmental factor on the fault; is the urgency score of the i-th inspection point, reflecting the severity of the problem, and the score includes 1 point, 2 points, 3 points, 4 points, and 5 points; is the total running time since the last maintenance, measuring the running time of the current inspection point; is the weight coefficient of the urgency score;

[0073] The overall abnormal risk threshold is calculated by combining the risk values of all points:

[0074] ,

[0075] wherein is the overall abnormal risk threshold, is the total number of inspection points, i.e., the number of all inspection points participating in the evaluation;

[0076] When > and >2, then 3 tracking points are generated at the current point;

[0077] When > and =1 or =2, then 2 tracking points are generated at the current point;

[0078] When ≤ If the number of tracking points is 1, a tracking point is generated at the current point;

[0079] According to the number of generated tracking points, all tracking points are connected in series to be displayed in a graphical manner, and the state of each inspection point, risk level information, completion time of the task, and equipment state and historical abnormal data are monitored to automatically generate and send an abnormal report including abnormal description, possible impact, and emergency degree;

[0080] The inspection personnel feed back in real time through the mobile terminal to record the task progress state, and the task priority is adjusted based on real-time feedback. When the task is delayed, the system automatically analyzes the delay reason and generates improvement suggestions to keep track and supervision in real time.

[0081] It should be noted that when the tracking point evaluates the equipment state and historical abnormal data, the generated improvement suggestions and abnormal report generate a defect single, and the system performs real-time analysis, classification, and priority sorting of defect data for defect processing, and generates defect processing based on abnormal degree and defect impact range;

[0082] The number of tracking points generated and the risk value are considered to comprehensively evaluate the abnormal degree For:

[0083] ,

[0084] Among them, is the risk value sensitivity adjustment parameter of the abnormal degree, is the set risk value threshold for distinguishing between normal and abnormal states; is the number of generated tracking points, including 1 tracking point, 2 tracking points, and 3 tracking points; is the defect occurrence frequency according to the device convention;

[0085] According to the abnormal degree, a basic risk evaluation is obtained, and the dynamic cumulative calculation of the defect impact range is considered according to the device historical data and potential impact :

[0086] ,

[0087] Among them, is the historical fault comprehensive score, is the potential economic loss score, is a small constant for avoiding division by zero;

[0088] The abnormal degree and the defect impact range will be coupled to reflect the comprehensive impact by multiplication :

[0089] ,

[0090] According to the results of the comprehensive influence, the defect treatment is performed in the order of the comprehensive influence degree from large to small, and the adjustment of the patrol inspection point position is performed according to the results of the defect treatment, wherein, The response sensitivity of the priority to the historical fault score is adjusted.

[0091] S3: Based on the results of the defect treatment, the patrol inspection point position and the task cycle are dynamically adjusted, and after the adjustment, the patrol inspection report is generated by the patrol inspection acceptance module and sent to the patrol inspection analysis module for cycle trend analysis.

[0092] Further, according to the defect treatment results, the patrol inspection point position and the task cycle are adjusted, when is greater than a specified threshold , it indicates that there are many defects, and the inspection point position is increased , when is less than a specified threshold , it indicates that there are few defects, and the inspection point position is reduced After determining the change value ΔP of the inspection point position, the task cycle is optimized to meet the actual operating conditions after increasing or reducing the point position:

[0093] ,

[0094] wherein, represents the change amount of the task cycle, represents the original task cycle, represents a risk adjustment coefficient, which adjusts the amplitude of the cycle change; represents the total number of inspection point positions before adjustment, represents a parameter for controlling the influence strength of the number of point positions on the cycle adjustment, represents the number of increased inspection point positions, represents the coefficient of increasing the point position, represents the current number of defect treatment results, represents the upper threshold of the defined number of defects, and when the value exceeds this value, the point position is considered to be increased; represents the basic increase coefficient, represents the number of reduced inspection point positions, represents the coefficient of reducing the point position, represents the lower threshold of the defined number of defects, and when the value is lower than this value, the point position is considered to be reduced; represents the basic reduction coefficient.

[0095] It should be noted that after adjusting the point position and the task cycle, the patrol inspection report is generated by the patrol inspection acceptance module and sent to the patrol inspection analysis module for cycle trend analysis to determine whether the patrol inspection system is improved after optimization.

[0096] According to the number of defect processing results, the change trend is evaluated:

[0097] ,

[0098] wherein, is the defect number change rate, is the defect number at the current time t, is the defect number at the previous time point;

[0099] The trend score is generated by combining the defect number change rate and the task cycle change:

[0100] ,

[0101] wherein, represents the trend score, which is used to quantitatively evaluate the trend of defect resolution; is the weight given to the defect number change rate, is the weight given to the task cycle change;

[0102] When , the system considers that the defect number decreases, the task cycle effectively shortens, and the overall inspection work develops in a beneficial direction, indicating that the state and work efficiency of the inspection system exist to be improved;

[0103] When , the state of the system remains stable, the defect number fluctuates, but the overall inspection task does not change, prompting the maintenance team to continue to monitor the situation to ensure that there is no potential problem;

[0104] When , it indicates that the system condition deteriorates, the defect number increases or the extension of the task cycle fails to effectively improve the equipment state, and timely measures should be taken to increase the tracking point and the inspection point, update the task cycle, and prevent further problem development and equipment failure;

[0105] wherein, and are the preset high threshold and low threshold, respectively.

[0106] Embodiment 2, the second embodiment of the present application, which is different from the previous embodiment is:

[0107] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the part of the technical solutions that essentially contribute to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0108] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered a list of executable instructions for implementing logic functions, and can be specifically embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, a system including a processor, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions, or in conjunction with these instructions execution systems, apparatuses, or devices. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport programs for use by an instruction execution system, apparatus, or device, or in conjunction with these instruction execution systems, apparatuses, or devices.

[0109] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CD ROM). In addition, the computer readable medium can even be paper or other suitable medium on which the program can be printed, as the program can be electronically obtained, for example, by optical scanning of the paper or other medium, followed by editing, interpreting, or otherwise processing, if necessary, in other suitable ways to be electronically obtained, and then stored in the computer memory.

[0110] It should be understood that portions of the application can be implemented in hardware, software, firmware, or combinations thereof. In the embodiments described above, a number of steps or methods can be implemented in software or firmware that is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any of the following technologies, known in the art, or combinations thereof, can be employed: discrete logic circuitry having logic gates for implementing logic functions upon an application of data signals, application-specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field-programmable gate arrays (FPGA), and the like.

[0111] Embodiment 3, with reference to Figure 2 As a third embodiment of the present application, the embodiment provides a water power plant equipment point inspection system optimization system, comprising a point inspection management module 10, a point inspection supervision module 20, a defect management module 30, a point inspection acceptance module 40, and a point inspection analysis module 50;

[0112] The point inspection management module 10 establishes point inspection standards, sets key equipment and normal equipment according to actual project or personnel requirements, generates point inspection tasks, and distributes them to corresponding point inspection personnel, manages point inspection cycles, arranges online and offline point inspections, receives feedback from the point inspection supervision module, and dynamically adjusts point inspection points and task cycles;

[0113] The point inspection supervision module 20 supervises the execution of point inspection tasks, collects historical data of points, including fault history, equipment operating status, and environmental factors, calculates the abnormal risk value of each point inspection point, generates an overall abnormal risk threshold value, generates tracking points according to the risk value, displays the status and risk level of each inspection point through a dashboard, real-time feedbacks the task execution of inspection personnel, adjusts the task priority, analyzes the reasons for task delay, and generates improvement suggestions, sends the abnormal report and improvement suggestions to the defect management module 30;

[0114] The defect management module 30 receives the abnormal report and improvement suggestions from the point inspection supervision module, generates a defect single, analyzes, classifies, and prioritizes defect data in real time, comprehensively evaluates the abnormal degree and defect influence range, handles defects, and feeds back the defect handling results to the point inspection management module 10 to adjust the point inspection points and task cycles;

[0115] The point inspection acceptance module 40 generates a point inspection report according to the execution of the point inspection task, and sends the point inspection report to the point inspection analysis module 50 for periodic trend analysis;

[0116] The patrol inspection analysis module 50 receives the patrol inspection report of the patrol inspection acceptance module 40, performs periodic trend analysis, evaluates the improvement of the optimized patrol inspection system, generates a trend score model, and feeds back the analysis result to the patrol inspection management module 10, so as to further optimize the patrol inspection point and task cycle.

[0117] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application 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 application can be modified or equivalently replaced without departing from the spirit and scope of the present application, and they should be covered in the scope of the claims of the present application.

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. Simultaneously conduct online and offline inspections and manage the inspection cycle. During the execution of inspection tasks, inspection supervision and tracking are increased. At the same time, inspection personnel collect abnormal data and send it to the defect management module for defect handling while performing tasks. Based on the results of defect handling, the inspection points and task cycles are dynamically adjusted. After adjustment, the inspection report is generated by the inspection and acceptance module and sent to the inspection and analysis module for cycle trend analysis. The periodic trend analysis includes, after adjusting the location and task cycle, generating an inspection report through the inspection and acceptance module and sending it to the inspection and analysis module for periodic trend analysis to determine whether the inspection system has been improved after optimization. The trend is assessed based on the number of defect handling results, and a trend score is generated by combining the defect number change rate and task cycle changes. When the generated trend score is greater than the preset high threshold, the system considers that the number of defects has decreased, the task cycle has been effectively shortened, and the overall inspection work is developing in a beneficial direction, indicating that the equipment status and work efficiency of the inspection system have improved. When the preset high threshold is greater than or equal to the generated trend score, which is greater than or equal to the preset low threshold, the system status remains stable. The number of defects may fluctuate, but the overall inspection task remains unchanged. This prompts the maintenance team to continue monitoring the situation to ensure that no potential problems arise. When the generated trend score is less than the preset low threshold, it indicates 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 condition. Measures should be taken in a timely manner to increase the number of tracking points and inspection points, update the task cycle, and prevent further development of problems and equipment failure. The inspection and monitoring tracking includes the system continuously collecting historical data of the inspection points, including the fault history, equipment operating status, and environmental factors of each inspection point. By analyzing the completion status of the inspection tasks and historical anomaly data, the system calculates the anomaly risk value of each inspection point. Where i is the variable index, RV i Let F be the abnormal risk value of the i-th inspection point. i E represents the number of faults at the i-th inspection point, i.e., the historical fault record; i Let k be the environmental factor feedback recorded in the previous inspection for the i-th inspection point. E The weighting coefficients for environmental factors reflect the degree of influence of environmental factors on the failure; Us i The urgency score for the i-th inspection point reflects the severity of the problem; the score includes 1, 2, 3, 4, and 5 points. i k represents the total operating time since the last maintenance, measuring the operating time of the currently inspected points; Us The weighting coefficient for the urgency score; Calculate the overall anomaly risk threshold by combining the risk values ​​of all points: Where TH is the overall abnormal risk threshold and N is the total number of inspection points, i.e., the number of all inspection points participating in the assessment. When RV i >TH and F i If the value is greater than 2, then 3 tracking points will be generated at the current location; When RV i >TH and F i =1 or F i When the value is 2, two tracking points will be generated at the current location; When RV i If ≤TH, then generate 1 tracking point at the current location; Based on the number of tracking points generated, all tracking points are connected in series and displayed graphically. The dashboard presents the status and risk level information of each inspection point, while monitoring the task completion time, assessing equipment status and historical anomaly data, and automatically generating and sending anomaly reports including anomaly description, possible impact and urgency level. Inspection personnel provide real-time feedback via mobile terminals, record the progress of tasks, adjust task priorities based on real-time feedback, and automatically analyze the reasons for delays when tasks are delayed, generate improvement suggestions, and maintain real-time tracking and supervision. The defect handling includes generating defect orders from improvement suggestions and anomaly reports when the tracking point assesses the equipment status and historical anomaly data; the system performs real-time analysis, classification, and priority ranking of defect data; and generates defect handling based on the degree of anomaly and the scope of defect impact. Considering the number of tracking points generated and the risk value, the anomaly level SL is assessed as follows: Where, k RV The parameter is used to adjust the sensitivity of the risk value to the degree of abnormality; μ is the set risk value threshold used to distinguish between normal and abnormal states; X is the number of tracking points generated, including 1 tracking point, 2 tracking points, and 3 tracking points; D is the defect occurrence frequency as specified by the equipment. A basic risk assessment is obtained based on the degree of anomaly. The impact range IS of the defect is then dynamically accumulated, taking into account historical equipment data and potential impacts. Where S is the historical fault comprehensive score, Ue is the potential economic loss score, and ∈ is a small constant used to avoid division by zero; The combined impact (PS) will be reflected by multiplicative coupling, considering both the degree of anomaly and the scope of defect influence. Based on the results of the comprehensive impact, defects are handled in descending order of comprehensive impact, and the inspection points are adjusted according to the results of defect handling. Here, h is the sensitivity of the adjustment priority to the historical fault score. The patrol inspection cycle management includes simultaneously performing online and offline patrol inspections. When a patrol inspection task is triggered, an online patrol inspection is performed according to the patrol inspection task generating a patrol inspection route. When conducting online inspections, a fault occurrence rate is calculated based on historical fault data, where is the number of faults occurring within time t, and is the total equipment operating time. The inspection frequency is then adjusted according to the fault occurrence rate. Among them, I F I0 is the adjusted inspection frequency, i.e., the number of inspections generated by the system for the equipment; I0 ​​is the initially set inspection frequency, i.e., the recommended inspection frequency for the equipment under normal operating conditions; α is the sensitivity coefficient of the adjustment failure rate to the inspection frequency, determining the degree to which the failure rate affects the inspection frequency; F threshold For an acceptable failure rate threshold, when it exceeds F threshold When this happens, an alert to adjust the inspection frequency needs to be triggered. The offline inspection includes the following steps: after an inspection task is generated, it is pushed to the corresponding inspection personnel. The inspection personnel use a mobile inspection terminal to perform the inspection task according to the inspection task plan and a designated route. During the process, the mobile inspection terminal identifies NFC tags, reads the current equipment health and equipment ledger information, and submits the inspection task after checking and confirming. The current offline value of the equipment is entered, and defective equipment is photographed on-site and uploaded to the server. When submitting the record, the system records the operating parameters of the defective equipment as a basis for later inspection. Multiple inspection personnel can perform the same 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. The dynamic adjustment of inspection points and task cycles includes adjusting the inspection points and task cycles based on defect handling results, when PS is greater than a specified threshold M. a If the time is too high, it indicates that there are many defects, and the number of inspection points ΔP should be increased. ↑ =k a ·(M PS -M a )+c a When PS is less than the specified threshold M b This indicates fewer defects, reducing the number of inspection points ΔP. ↓ =-k b ·(M b -M PS )-c b After determining the change value ΔP of the inspection points, the task cycle is optimized to match the actual operating conditions after adding or reducing the number of inspection points: Where Δτ represents the change in the task cycle, τ orig P represents the original task cycle, z represents the risk adjustment coefficient, and the magnitude of the adjustment cycle change; orig θ represents the total number of inspection points before adjustment, and θ represents the parameter used to control the influence of the number of inspection points on the periodic adjustment. ↑ k represents the increase in the number of inspection points. a M represents the coefficient for increasing the number of points. PS M represents the current number of defect processing results. a This represents the upper limit threshold for the defined number of defects; if this value is exceeded, additional defects will be considered. a ΔP represents the base increase coefficient. ↓ k represents the reduction in the number of inspection points. b M represents the coefficient for reducing the number of points. b This represents the lower limit threshold for the defined number of defects; if the number of defects is below this value, the number of defects will be reduced. b This represents the basic reduction coefficient; after adjusting the location and task cycle, the patrol inspection and acceptance module generates a patrol inspection report, which is then sent to the patrol inspection analysis module for cycle trend analysis to determine whether the patrol inspection system has been improved after optimization. Assess trends based on the number of defect handling results: Among them, R t M represents the rate of change in the number of defects. PS,t M represents the number of defects at the current time t. PS,t-1 This represents the number of defects at the previous time point. A trend score is generated by combining the rate of change in the number of defects and the changes in the task cycle: W t =R t ·k R +Δτ·k τ Among them, W t This represents a trend score, used to quantitatively assess the trend of defect resolution; k R To assign weights to the rate of change in the number of defects, k τ To assign weights to changes in the task cycle; When W t When the value is >C1, the system considers the number of defects to have decreased, the task cycle to have been effectively shortened, and the overall inspection work to be developing in a beneficial direction, indicating that the equipment status and work efficiency of the inspection system have been improved. When C1≥W t When the value is ≥C2, the system status remains stable, the number of defects fluctuates, but the overall inspection task remains unchanged, indicating that the maintenance team should continue to monitor the situation to ensure that no potential problems arise; When W t <When C2, it indicates that the system condition deteriorates, the number of defects increases, or the extension of the task cycle fails to effectively improve the equipment state. Take timely measures to re-increase the tracking points and inspection points, update the task cycle, and prevent further problem development and equipment failures; C1 and C2 are the preset high threshold and preset low threshold, respectively.

2. The method for optimizing a hydropower plant equipment inspection system as described in claim 1, characterized in that: The inspection criteria include establishing inspection standards, manually setting key and normal equipment in the system according to actual project or personnel requirements, and measuring corresponding temperature, vibration, current, voltage, and power factor data. An inspection task is generated when any inspection standard is met. The first standard for inspection is to keep the operating temperature of all critical equipment within the specified rated value; when the temperature of critical 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. The second inspection standard 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, an 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 equipment. The third standard for inspection 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 checked. When the current or voltage exceeds the second preset range or the power factor drops to ≤0.9, the system automatically generates an emergency inspection task and triggers a system alarm. When the equipment triggers an inspection task with more than two data measurement indicators in the past three consecutive inspections and there is a tendency to generate an emergency inspection task, i.e. the data measurement results tend to approach the second threshold, defect handling is triggered at the same time. The second threshold includes the second temperature threshold, the second equipment threshold, the second preset range, and the power factor dropping below 0.

9.

3. A hydropower plant equipment inspection system optimization system, using the hydropower plant equipment inspection system optimization method as described in any one of claims 1 to 2, characterized in that: 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 inspection management module establishes inspection standards, sets key and normal equipment according to actual project or personnel requirements, generates inspection tasks, assigns them to corresponding inspection personnel, manages inspection cycles, arranges online and offline inspections, receives feedback from the inspection supervision module, and dynamically adjusts inspection locations and task cycles. The inspection and monitoring module supervises the execution of inspection and monitoring tasks and collects historical data of the 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 values ​​and display the status and risk level of each inspection point through the dashboard. Provide real-time feedback on the task execution of inspection personnel, adjust task priorities, analyze the reasons for task delays, generate improvement suggestions, and send the abnormal reports and improvement suggestions to the defect management module. The defect management module receives anomaly reports and improvement suggestions from the inspection and supervision module, generates defect orders, analyzes, classifies, and prioritizes defect data in real time, comprehensively assesses the degree of anomaly and the scope of defect impact, handles defects, and feeds back the defect handling results to the inspection and supervision module to adjust the inspection and supervision points and task cycles. The inspection and acceptance module generates an inspection report based on the execution of the inspection task and sends the inspection report to the inspection analysis module for periodic trend analysis. The inspection analysis module receives the inspection report from the 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 inspection management module to further optimize the inspection points and task cycles.

4. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the optimization method for a hydropower plant equipment inspection system according to any one of claims 1 to 2.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the optimization method for the equipment inspection system of a hydropower plant as described in any one of claims 1 to 2.

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