A method, device and equipment for optimizing patrol strategy of combination electrical appliances

Abstract

The present invention discloses a method, device, and apparatus for optimizing a patrol strategy for a combination electrical appliance. In response to a received patrol strategy optimization request, the method determines multiple combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request and obtains corresponding target health score data and an initial maintenance patrol strategy. Based on the target state score interval within which the target health score data falls, the method determines corresponding target optimization data. The initial maintenance patrol strategy is optimized using the target optimization data to generate a corresponding target maintenance patrol strategy. The target maintenance patrol strategy is used to repair the combination electrical appliance to be analyzed. New target health score data is generated based on the repair results. The target health score data is compared with a preset standard score threshold. If the target health score data equals the preset standard score threshold, the optimization of the initial maintenance patrol strategy is stopped. This method solves the existing technical problems of wasting manpower and material resources and consuming a long time.

Description

Technical Field

[0001] The present invention relates to the technical field of combination electrical appliance inspection, and in particular to an optimization method, device and equipment for a combination electrical appliance inspection strategy. Background Art

[0002] Combination electrical appliances include fully enclosed combination electrical appliances GIS and partially enclosed combination electrical appliances HGIS. Maintenance of combination electrical appliances refers to the inspection, testing, maintenance and repair of them to ensure the healthy operation of the explosion protection system.

[0003] The judgment of the operating status of the combination electrical appliances mainly comes from manual inspections, robot inspections and other intelligent inspection devices, as well as system maintenance and test work records. The inspection focuses on the combination electrical appliances include: switch position indication, knife switch position indication, SF6 gas pressure gauge, lightning arrester meter, hydraulic gauge or spring energy storage, casing, gas chamber connecting pipe, box door closing condition, box body sealing and moisture-proof condition, secondary air switch, secondary handle, sound, outlet bushing and lead, etc., as well as routine inspections of the appearance of the station system and auxiliary facilities, substation operating environment, etc., and system temperature measurement.

[0004] Currently, existing system maintenance follows a fixed cycle system with fixed maintenance content. The frequency ranges from one month to 12 years, depending on the maintenance project. Maintenance content is derived from relevant regulations and operating instructions, and the system maintenance test cycle is generally managed manually. When the system is large, maintenance cycle management is difficult. Fixed cycles and work items also lead to a lack of focus in maintenance work. Without differentiation based on the specific characteristics of each substation and each switchgear unit, it is difficult to develop a reasonable maintenance strategy based on operational defects of the switchgear units, resulting in wasted manpower and material resources and a long time-consuming process. Summary of the Invention

[0005] The present invention provides a method, device and equipment for optimizing the inspection strategy of combination electrical appliances, which solves the technical problems that the existing system maintenance adopts a fixed cycle system and fixed maintenance content. When the total system volume is large, the maintenance work cycle management is more difficult. The fixed cycle and work items also make the maintenance work lack focus. There is no differentiation according to the specific characteristics of each combination electrical appliance in each substation. It is difficult to formulate a reasonable maintenance strategy based on the defects in the operation of the combination electrical appliances, which causes waste of manpower and material resources and a long time.

[0006] A first aspect of the present invention provides a method for optimizing a patrol strategy of a combination electrical appliance, comprising:

[0007] In response to the received patrol strategy optimization request, determining a plurality of combined electrical appliances to be analyzed corresponding to the patrol strategy optimization request and obtaining corresponding target health score data and an initial maintenance patrol strategy;

[0008] Determining corresponding target optimization data according to the target status score interval in which the target health score data is located;

[0009] Optimizing the initial maintenance inspection strategy using the target optimization data to generate a corresponding target maintenance inspection strategy;

[0010] Using the target maintenance inspection strategy to perform maintenance on the combined electrical appliance to be analyzed, and generating new target health score data according to the maintenance results;

[0011] Comparing the target health score data with a preset standard score threshold;

[0012] If the target health score data is equal to the preset standard score threshold, then the optimization of the initial maintenance inspection strategy is stopped.

[0013] Optionally, in relation to a data management system, an operation data management system, and a maintenance and inspection system, the step of determining, in response to a received inspection strategy optimization request, a plurality of combined electrical appliances to be analyzed corresponding to the inspection strategy optimization request and obtaining corresponding target health score data and an initial maintenance and inspection strategy includes:

[0014] In response to the received patrol strategy optimization request, determining a plurality of combined electrical appliances to be analyzed corresponding to the patrol strategy optimization request;

[0015] Acquiring, through the data management system, data to be analyzed corresponding to the plurality of combined electrical appliances to be analyzed;

[0016] Acquiring, through the operation data management system, the operation data to be analyzed corresponding to the plurality of combination electrical appliances to be analyzed;

[0017] Acquiring initial maintenance and inspection strategies corresponding to the plurality of combined electrical appliances to be analyzed through the maintenance and inspection system;

[0018] The data to be analyzed and the operating data to be analyzed are used to determine corresponding target health score data.

[0019] Optionally, the system further relates to a health feature extraction system, wherein the step of using the information data to be analyzed and the operating data to be analyzed to determine corresponding target health score data includes:

[0020] Extracting a plurality of target health features from the data to be analyzed and the operating data to be analyzed by the health feature extraction system;

[0021] Searching a preset health feature key-value pair database according to the target health feature to determine a plurality of corresponding initial health score data;

[0022] The sum of all the initial health score data is calculated to determine the corresponding target health score data.

[0023] Optionally, the step of determining corresponding target optimization data according to the target status score interval in which the target health score data is located includes:

[0024] Searching a preset status score interval database according to the target health score data to determine the target status score interval corresponding to the target health score data;

[0025] The optimization data associated with the target state score interval is determined as target optimization data.

[0026] Optionally, the target optimization data includes target optimized maintenance content and target optimized maintenance cycle, the initial maintenance inspection strategy includes initial maintenance content and initial maintenance cycle, and the step of optimizing the initial maintenance inspection strategy using the target optimization data to generate a corresponding target maintenance inspection strategy includes:

[0027] Comparing the target optimized maintenance content with the initial maintenance content;

[0028] If the comparison result of the target optimized maintenance content is consistent with the initial maintenance content, the initial maintenance content is used as the target maintenance content;

[0029] If the comparison result of the target optimized maintenance content is inconsistent with the initial maintenance content, the target optimized maintenance content is used as the target maintenance content;

[0030] comparing the target optimized maintenance cycle with the initial maintenance cycle;

[0031] If the target optimized maintenance cycle is consistent with the initial maintenance cycle, the initial maintenance cycle is used as the target maintenance cycle;

[0032] If the comparison result of the target optimized maintenance period is inconsistent with the initial maintenance period, the target optimized maintenance period is used as the target maintenance period;

[0033] According to the target maintenance content and the target maintenance period, a corresponding target maintenance inspection strategy is generated.

[0034] Optionally, the step of using the target maintenance inspection strategy to perform maintenance on the combined electrical appliance to be analyzed and generating new target health score data according to the maintenance results includes:

[0035] Using the target maintenance inspection strategy to perform maintenance on the combined electrical appliance to be analyzed, and receiving maintenance results;

[0036] If the inspection result is normal, the target health score data is reduced according to a preset reduction rate, and new target health score data is generated;

[0037] If the inspection result is abnormal, the target health score data is updated.

[0038] Optionally, if the inspection result is abnormal, the step of updating the target health score data includes:

[0039] If the inspection result is abnormal, the target health feature is determined according to the type of abnormal fault and the corresponding initial health score data is obtained;

[0040] Determining whether the target health characteristic is a newly emerged health characteristic;

[0041] If the target health feature is a newly emerged health feature, calculating the sum of the initial health score data and the target health score data to generate new target health score data;

[0042] If the target health feature is not a newly emerged health feature, the current initial health score data of the target health feature in the target health score data is restored to the original initial health score data, and new target health score data is generated.

[0043] Optionally, it also includes:

[0044] If the target health score data is not equal to the preset standard score threshold, the current target maintenance inspection strategy is used as a new initial maintenance inspection strategy;

[0045] Using the current target health score data as new target health score data;

[0046] Jump to the step of determining the corresponding optimized maintenance cycle according to the preset status score interval of the target health score data.

[0047] A second aspect of the present invention provides a device for optimizing a patrol strategy of a combination electrical appliance, comprising:

[0048] a response module, configured to respond to a received patrol strategy optimization request, determine a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request, and obtain corresponding target health score data and an initial maintenance patrol strategy;

[0049] A target optimization data acquisition module is used to determine corresponding target optimization data according to the target state score interval in which the target health score data is located;

[0050] A target maintenance inspection strategy generation module is used to optimize the initial maintenance inspection strategy using the target optimization data to generate a corresponding target maintenance inspection strategy;

[0051] An updating module, configured to perform maintenance on the combined electrical appliance to be analyzed using the target maintenance inspection strategy, and generate new target health score data based on the maintenance results;

[0052] A comparison module, configured to compare the target health score data with a preset standard score threshold;

[0053] The optimization module is configured to stop optimizing the initial maintenance inspection strategy if the target health score data is equal to the preset standard score threshold.

[0054] A third aspect of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method for optimizing the patrol strategy of a combination electrical appliance as described in any one of the above items.

[0055] It can be seen from the above technical solutions that the present invention has the following advantages:

[0056] In response to a received patrol strategy optimization request, a plurality of corresponding combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request are determined and corresponding target health score data and an initial maintenance patrol strategy are obtained. According to the target state score interval in which the target health score data is located, the corresponding target optimization data is determined. The initial maintenance patrol strategy is optimized using the target optimization data to generate a corresponding target maintenance patrol strategy. The combination electrical appliance to be analyzed is repaired using the target maintenance patrol strategy. New target health score data is generated based on the repair results. The target health score data is compared with a preset standard score threshold. If the target health score data is equal to the preset standard score threshold, the optimization of the initial maintenance patrol strategy is stopped. This solves the technical problem that the existing system maintenance adopts a fixed cycle system and fixed maintenance content. When the total system volume is large, the maintenance work cycle management is more difficult. The fixed cycle and work items also make the maintenance work lack focus. There is no differentiation according to the specific characteristics of each combination electrical appliance in each substation. It is difficult to formulate a reasonable maintenance strategy based on the defects in the operation of the combination electrical appliance, resulting in waste of manpower and material resources and a long time. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 paying any creative work.

[0058] Figure 1 A flowchart of a method for optimizing a combination electrical appliance patrol strategy according to a first embodiment of the present invention;

[0059] Figure 2 A flowchart of a method for optimizing a combination electrical appliance patrol strategy according to a second embodiment of the present invention;

[0060] Figure 3 This is a structural block diagram of a device for optimizing patrol strategies of a combination electrical appliance provided in the third embodiment of the present invention. DETAILED DESCRIPTION

[0061] The embodiments of the present invention provide a method, device and equipment for optimizing the inspection strategy of a combination electrical appliance, which is used to solve the technical problem that the existing system maintenance adopts a fixed cycle system and fixed maintenance content. When the total system volume is large, the maintenance work cycle management is relatively difficult. The fixed cycle and work items also make the maintenance work lack focus. There is no differentiation according to the specific characteristics of each combination electrical appliance in each substation. It is difficult to formulate a reasonable maintenance strategy based on the defects in the operation of the combination electrical appliance, which causes waste of manpower and material resources and a long time.

[0062] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0063] See also Figure 1 , Figure 1 This is a flowchart of the steps of a method for optimizing a combination electrical appliance patrol strategy provided in the first embodiment of the present invention.

[0064] The present invention provides a method for optimizing a patrol strategy of a combination electrical appliance, comprising:

[0065] Step 101: In response to a received patrol strategy optimization request, determine a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request and obtain corresponding target health score data and an initial maintenance patrol strategy.

[0066] The patrol strategy optimization request refers to a strategy optimization request received from a staff member to optimize the initial maintenance patrol strategy.

[0067] The target health score data refers to health score data composed of scores corresponding to the collected health characteristics of the combined electrical appliance to be analyzed.

[0068] The initial inspection and repair strategy refers to the inspection and repair strategy specified for the combination electrical appliance to be analyzed.

[0069] In an embodiment of the present invention, in response to receiving a strategy optimization request for optimizing the initial maintenance patrol strategy sent by a staff member, multiple combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request are obtained, and the target health score data and the initial maintenance patrol strategy corresponding to each combination electrical appliance to be analyzed are obtained respectively.

[0070] Step 102: Determine corresponding target optimization data according to the target state score interval in which the target health score data is located.

[0071] The target state score interval refers to a score interval used to divide the operating status of the combined electrical appliance to be analyzed.

[0072] The target optimization data refers to the corresponding optimization data for adjusting the initial maintenance inspection strategy generated according to the operating state of the combined electrical appliance to be analyzed.

[0073] In an embodiment of the present invention, the operating status of the combined electrical appliance to be analyzed is determined based on the target status score interval of the target health score data corresponding to the combined electrical appliance to be analyzed, and the initial maintenance inspection strategy is adjusted based on the target optimization data corresponding to the operating status.

[0074] Step 103: Optimize the initial maintenance and inspection strategy using the target optimization data to generate a corresponding target maintenance and inspection strategy.

[0075] The target maintenance inspection strategy refers to a new maintenance inspection strategy generated by optimizing the data in the initial maintenance inspection strategy using target optimization data.

[0076] In the embodiment of the present invention, target optimization data is used, and on the basis of the initial maintenance and inspection strategy, the data in the initial maintenance and inspection strategy is optimized to generate a corresponding new maintenance and inspection strategy as the target maintenance and inspection strategy.

[0077] Step 104: Use the target maintenance inspection strategy to perform maintenance on the analyzed combination electrical appliance, and generate new target health score data based on the maintenance results.

[0078] In an embodiment of the present invention, the combined electrical appliance to be analyzed is repaired according to the generated target repair and inspection strategy, and the initial target health score data is updated according to the repair result, thereby generating new target health score data.

[0079] Step 105: Compare the target health score data with the preset standard score threshold.

[0080] The preset standard integral threshold refers to a threshold used to determine whether to stop optimizing the initial maintenance patrol strategy.

[0081] It is worth mentioning that in this embodiment, the preset standard integral threshold is 0.

[0082] In the embodiment of the present invention, the newly generated target health score data is compared with the preset standard score threshold to determine whether to further optimize the initial maintenance and inspection strategy or to stop the optimization.

[0083] Step 106: If the target health score data is equal to the preset standard score threshold, then stop optimizing the initial maintenance inspection strategy.

[0084] In the embodiment of the present invention, if the target health score data is equal to 0, the optimization of the initial maintenance inspection strategy is stopped.

[0085] In an embodiment of the present invention, in response to a received patrol strategy optimization request, a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request are determined and corresponding target health score data and an initial maintenance patrol strategy are obtained. Based on the target state score interval in which the target health score data is located, corresponding target optimization data are determined. The initial maintenance patrol strategy is optimized using the target optimization data to generate a corresponding target maintenance patrol strategy. The combination electrical appliance to be analyzed is repaired using the target maintenance patrol strategy. New target health score data is generated based on the repair results. The target health score data is compared with a preset standard score threshold. If the target health score data is equal to the preset standard score threshold, the optimization of the initial maintenance patrol strategy is stopped. This solves the technical problem that the existing system maintenance adopts a fixed cycle system and fixed maintenance content. When the total system volume is large, maintenance work cycle management is relatively difficult. The fixed cycle and work items also make the maintenance work lack focus. There is no differentiation based on the specific characteristics of each combination electrical appliance in each substation. It is difficult to formulate a reasonable maintenance strategy based on the defects in the operation of the combination electrical appliance, resulting in waste of manpower and material resources and a long time.

[0086] See also Figure 2 , Figure 2 This is a flowchart of the steps of a method for optimizing a combination electrical appliance patrol strategy provided in the second embodiment of the present invention.

[0087] The present invention provides a method for optimizing a patrol strategy of a combination electrical appliance, comprising:

[0088] Step 201: In response to a received patrol strategy optimization request, determine a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request and obtain corresponding target health score data and an initial maintenance patrol strategy.

[0089] It's worth noting that during the maintenance phase of a modular appliance, maintenance personnel will record defects based on their work. During outages, the appliance will also undergo maintenance tests, generating corresponding test results. Based on the appliance's historical operating data and maintenance results, as well as the operating status of other modular appliances of the same manufacturer, model, and commissioning era, the appliance's operating status can be mapped using a health score. This health status can then be automatically formulated to address differentiated maintenance strategies.

[0090] Furthermore, in relation to the data management system, the operation data management system and the inspection and patrol system, step 201 may include the following sub-steps:

[0091] S11 . In response to a received patrol strategy optimization request, determining a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request.

[0092] In the embodiment of the present invention, in response to a patrol strategy optimization request received from a staff member, a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request are determined.

[0093] S12. Obtaining data to be analyzed corresponding to a plurality of combination electrical appliances to be analyzed through a data management system.

[0094] The data management system refers to a management system used to manage data generated after the maintenance of combination electrical appliances.

[0095] The data to be analyzed refers to the data generated by statistically summarizing the inspection results generated after the combined electrical appliance to be analyzed is inspected.

[0096] It is worth mentioning that the data to be analyzed include the inventory parameters of combination electrical equipment, historical defect data of combination electrical equipment from the defect management system, and family defect data of the same type of equipment.

[0097] In the embodiment of the present invention, data corresponding to the combination electrical appliance to be analyzed is extracted through a data management system as data to be analyzed.

[0098] S13. Obtaining the operation data to be analyzed corresponding to the plurality of combination electrical appliances to be analyzed through the operation data management system.

[0099] The operation data management system refers to a management system used to manage, record and generate the operation data corresponding to the combination electrical appliance.

[0100] The operating data to be analyzed refers to the operating data generated by testing the combination electrical appliance, generating test results, and statistically summarizing them.

[0101] It is worth mentioning that the operating data to be analyzed include the test results data of the combination electrical appliances from the conclusions of professional work teams, the operating data of the combination electrical appliances, the electrical quantity data of the combination electrical appliances intervals from the background monitoring system, as well as alarm and accident signals, manual and intelligent inspection data.

[0102] In the embodiment of the present invention, the operating data corresponding to the combination electrical appliance to be analyzed is extracted by the operating data management system as the operating data to be analyzed.

[0103] S14. Obtaining initial maintenance and inspection strategies corresponding to the plurality of combination electrical appliances to be analyzed through the maintenance and inspection system.

[0104] The maintenance and inspection system refers to the maintenance and inspection strategy used to manage all combined electrical appliances.

[0105] In the embodiment of the present invention, the maintenance and inspection strategy corresponding to the combined electrical appliance to be analyzed is extracted by the maintenance and inspection system as the initial maintenance and inspection strategy.

[0106] S15. Determine corresponding target health score data using the information data to be analyzed and the operating data to be analyzed.

[0107] Furthermore, it also relates to a health feature extraction system, and S15 may include the following sub-steps:

[0108] S151. Extract multiple target health features from the data to be analyzed and the operating data to be analyzed through a health feature extraction system.

[0109] The health feature extraction system refers to an extraction system used to extract health features from the data to be analyzed and the operating data to be analyzed.

[0110] It is worth mentioning that the specific extraction method for health feature extraction can be keyword extraction method, and the extraction method is not limited here.

[0111] In the embodiment of the present invention, the health feature extraction system extracts health features from the data to be analyzed and the operating data to be analyzed corresponding to each combined electrical appliance to be analyzed as target health features.

[0112] S152: Search a preset health feature key-value pair database according to the target health feature to determine a plurality of corresponding initial health score data.

[0113] In an embodiment of the present invention, a target health feature is used to generate a corresponding target key, the target key is input into a preset health feature key-value pair database to obtain a corresponding key value, and a plurality of corresponding initial health score data are matched according to the key value.

[0114] S153: Calculate the sum of all initial health score data and determine the corresponding target health score data.

[0115] In an embodiment of the present invention, one or more target health characteristics can be extracted from the data data to be analyzed and the operating data to be analyzed corresponding to each combined electrical appliance to be analyzed. Each target health characteristic corresponds to an initial health score data. If multiple target health characteristics are extracted from a combined electrical appliance to be analyzed, there will be multiple corresponding initial health score data. The multiple initial health score data are summed to generate the target health score data corresponding to the combined electrical appliance to be analyzed.

[0116] It is worth mentioning that the validity period of each target health score data is "between this maintenance and the next maintenance". After the expiration, it will be updated based on the results of the next maintenance. Any sudden defects that occur between two maintenances (such as operation failure, abnormal alarm, tripping, etc.) will immediately update the current target health score data and immediately affect the cycle and content of the next maintenance.

[0117] If the target health points data changes after the current maintenance work, the equipment status will be changed, and the next maintenance will be performed according to the new equipment status. However, the starting point for calculating the maintenance interval of each type will not change and will be the time of the most recent maintenance of that type.

[0118] Step 202: Determine corresponding target optimization data according to the target state score interval in which the target health score data is located.

[0119] In one example of the present invention, the score data in the preset health feature key-value pair database may be composed of the following:

[0120] The fault types of combination appliances are divided into the following six categories, each of which contains multiple target health features and corresponding initial health score data:

[0121] 1) Interior of the air chamber; 2) Airtight components; 3) Operating mechanism; 4) Main accessories; 5) Secondary parts; 6) Operating conditions.

[0122] The target health characteristics and corresponding initial health score data within "1) Air Chamber" include:

[0123] 1. If the busbar barrel produces unusual noise, odor, overheating, etc. during operation, 10 points will be awarded.

[0124] 2. Infrared temperature measurement of the main body of the running combination electrical appliance to check whether the temperature distribution of the main body is uniform. If the temperature difference of the main body is greater than 2K, 10 points will be awarded.

[0125] 3. If the measurement results of the online partial discharge monitoring device for combination electrical appliances are unqualified, 5 points will be awarded.

[0126] 4. If the SF6 gas sampling and analysis test results of the combination electrical appliance are abnormal, 5 points will be awarded.

[0127] 5. If a tripping accident occurs in the combination electrical appliance interval, 5 points will be awarded.

[0128] 6. If the combined appliance has been in operation for more than 20 years, 5 points will be awarded.

[0129] 7. Familial defects involving the interior of the air chamber are worth 3 points.

[0130] The target health characteristics and corresponding initial health score data in "2) Airtight Components" include:

[0131] 1. During the SF6 pressure inspection, if the reading of the SF6 pressure gauge in a single gas chamber of the equipment is lower than the rated value and reaches the alarm value, 5 points will be awarded.

[0132] 2. If there are abnormalities (leakage sound, vibration sound) and odor in the air chamber and connecting pipes, abnormalities in the pipe joints, damage to various pipes and valves, incorrect opening and closing positions, or damage to the insulating flanges and insulating brackets of the pipes, 3 points will be awarded.

[0133] 3. If the SF6 density relay is contaminated or damaged, the observation window is unclear, the air pressure indication is unclear, the connection between the SF6 density meter and the main body is unreliable, or there is oil leakage, 2 points will be awarded.

[0134] 4. If a gas leak is detected while using an SF6 monitor for leak monitoring, 2 points will be awarded.

[0135] 5. For family defects involving airtight components, 3 points will be awarded.

[0136] The target health characteristics and corresponding initial health score data within the "3) operating organization" include:

[0137] 1. The spring energy storage mechanism indicates abnormally, and the opening and closing springs have cracks, fractures, rust and other abnormalities, which will result in 10 points.

[0138] 2. If the hydraulic pressure gauge reading of the switch mechanism is lower than the rated value, 5 points will be awarded.

[0139] 3. Any abnormality in any part of the pipeline (oil leakage, air leakage, vibration sound) or odor, or any abnormality in the pipeline joints will be awarded 5 points.

[0140] 4. If the mechanical parts such as the disconnector, earthing switch connecting rod and rotating shaft are deformed and the connections between the components are abnormal, 5 points will be awarded.

[0141] 5. If the pressure oil pump makes abnormal operating sounds and starts frequently, and the number of starts exceeds 40 times per day when no switch is operated on that day, 3 points will be awarded.

[0142] 6. The position indication signals and alarm signals of the circuit breaker, disconnector and earthing switch do not correspond to the on-site situation and are inconsistent with the actual operation mode. The opening and closing indicator signs are not in place, and 2 points will be awarded.

[0143] 7. If the circuit breaker action time and circuit breaker action synchronization during the operation of the combination electrical appliance are unqualified, 10 points will be awarded.

[0144] 8. If the operation time and reliability of the isolating switch during the operation of the combination electrical appliance are qualified, 3 points will be awarded.

[0145] 9. If the combination appliance has a record of failure to execute operating instructions, 3 points will be awarded.

[0146] 10. Familial defects involving operating mechanisms will receive 3 points.

[0147] The target health characteristics and corresponding initial health score data in "4) Main Appendix" include:

[0148] 1. Overheating and reddening of the lead joint, abnormal curvature of the lead, and loose strands will result in 10 points.

[0149] 2. If the lead bushing is damaged, cracked, has discharge flashover, or is severely contaminated or rusted, 10 points will be awarded.

[0150] 3. During night patrols, if there is flashover on the bushing, porcelain bottle, or insulator, or if the bushing terminal is overheated and turns red or shiny, 10 points will be awarded.

[0151] 4. Infrared temperature measurement of casing, if the casing temperature distribution is uneven and the three-phase temperature difference is greater than 2K, the score is 10 points.

[0152] 5. Infrared temperature measurement of the leads: check if there is abnormal heating in the conductive parts such as the lead wire joints and equipotential connecting pieces, and if the relative temperature difference is greater than 35%, 5 points will be awarded.

[0153] 6. Temperature measurement of lightning arrester: Measure the temperature of three-phase lightning arrester. If the temperature difference between the three phases is greater than 0.5K, 5 points will be awarded.

[0154] 7. The action count indication value of the lightning arrester increases abnormally, the leakage current is abnormal, and the three-phase numerical deviation is large, with a score of 3 points.

[0155] 8. The surface of the secondary junction box of the current and voltage transformer is severely rusted and the coating has fallen off, the sealing is poor, and there are water marks, with a score of 3 points.

[0156] 9. Familial defects involving major appendages are worth 3 points.

[0157] The target health characteristics and corresponding initial health score data in "5) Secondary Part" include:

[0158] 1. The mechanism box or control cabinet door cannot be closed properly, is deformed, has poor sealing, has water ingress, the heater is not switched on or off normally, there are signs of moisture and small animals inside, the secondary cables are not properly sealed, the electrical components and their secondary wires are rusted, damaged, or loose, and there is a burnt smell or odor inside the mechanism box, 5 points will be awarded.

[0159] 2. All alarm light signs in the control cabinet have alarm signals, and the positions of all control switches and power switches are incorrect, which will result in 5 points.

[0160] 3. During secondary equipment inspections, if the combined electrical protection and measurement and control devices display abnormal alarm signals, the operating indicators are abnormal, voltage, current, switch position, and other information are not transmitted normally, or if the pressure plate, handle, or transfer switch is not properly engaged or disengaged, 5 points will be awarded.

[0161] 4. If the background monitoring system has reported that the protection device is locked, the protection device is powered off, or the DC is grounded, or if there are frequent alarms (the same signal is falsely reported 2 or more times a day), 2 points will be awarded each time.

[0162] 5. Familial defects involving secondary components are worth 3 points.

[0163] The target health characteristics and corresponding initial health score data in "6) Operational Conditions" include:

[0164] 1. The grounding device connection is unreliable, the iron parts are rusted and desoldering; the foundation sinks, and the brackets and pillars are not tilted or broken, 5 points.

[0165] 2. Appearance inspection: 3 points will be awarded for any abnormalities such as rust, corrosion, deformation, looseness, incomplete or peeling paint on the combination electrical appliance, or debris on the combination electrical appliance.

[0166] 3. If the equipment is located in a Class IV contaminated area, or if the equipment casing and other parts have not been flushed for 3 years or more, 3 points will be awarded.

[0167] 4. For other family defects that affect reliable operation but do not fall into the above 5 categories, 3 points will be awarded.

[0168] Furthermore, step 202 may include the following sub-steps:

[0169] S21 . Search a preset status score interval database according to the target health score data to determine a target status score interval corresponding to the target health score data.

[0170] The preset status score interval database refers to a database used to determine in which status score interval the target health score data corresponding to the combination electrical appliance to be analyzed falls.

[0171] In one example of the present invention, the preset status score interval database may consist of the following intervals:

[0172] For a combination appliance that is in completely normal operating condition, the initial health points of the above categories 1)-6) are all 0 points. As the health characteristics are continuously collected, the points are continuously accumulated and increased; as various maintenance work is completed, the points are continuously deducted or cleared.

[0173] When the same type of defects occur in multiple different parts of the same compartment of the same combination appliance, the scores will be accumulated.

[0174] A combination appliance without any defects or abnormalities is called "normal state".

[0175] When any score is greater than or equal to 5 points, the subcategory is recorded as "attention state".

[0176] When the total score of a combination appliance is greater than or equal to 20 points, the device will be marked as "abnormal state".

[0177] When the total score is greater than or equal to 30 points, the device is marked as "fault state".

[0178] S22. Determine the optimization data associated with the target state score interval as target optimization data.

[0179] In one example of the present invention, the target state score interval and the associated optimization data are as follows:

[0180] For the sake of example, a basic cycle of once a month is set. It can be modified to any cycle according to the needs and the types of maintenance work A, B, and C, such as once in June or once in December. The multiple relationship of the cycle change remains unchanged.

[0181] When the operating condition of a certain combination electrical appliance is completely normal or basically normal, and the initial health score data of the six categories of 1) air chamber interior; 2) airtight components; 3) operating mechanism; 4) main accessories; 5) secondary parts; 6) operating conditions are all in "normal state" and have not reached "caution state" (less than 5 points), the time interval of the overall maintenance cycle of the combination electrical appliance to be analyzed will be doubled.

[0182] For example: once a month in February, the disassembly and replacement of equipment will be cancelled, and it will be named "full-range inspection and maintenance". No additional key components will be included in the maintenance content, and it will be a full-range maintenance.

[0183] For projects whose original maintenance cycle is greater than or equal to 6 years, the time interval will not be extended, and only operations such as disassembly and replacement of equipment will be cancelled, which is named "full-range inspection maintenance."

[0184] When a certain combination appliance is deducted points for its operation, and any of the six categories of initial health score data reaches the "caution state" (greater than or equal to 5 points), but the entire combination appliance is in the "normal state" (total score less than 20 points), the time interval for the overall maintenance cycle of the combination appliance to be analyzed will be doubled.

[0185] For example: once in February, the dismantling and replacement of equipment will be cancelled and named as "full-range inspection and maintenance".

[0186] At the same time, between two "full-range inspection and maintenance" operations, a "differentiated maintenance" will be carried out for the above-mentioned equipment categories that are in "attention status", including disassembly, replacement and other operations of the equipment.

[0187] For projects whose original maintenance cycle is longer than 6 years, the time interval will not be extended. Only operations such as disassembly and replacement of equipment will be cancelled, and it will be named "full-range inspection maintenance."

[0188] When points are deducted for the operating condition of a combination electrical appliance to be analyzed, and the entire set of combination electrical appliances is in an "abnormal state" (total score is greater than or equal to 20 points), the overall maintenance cycle of the combination electrical appliances to be analyzed will be maintained unchanged, including disassembly, replacement and other operations of the equipment (consistent with the existing maintenance items), which is a "full-range routine maintenance."

[0189] When points are deducted for the operating condition of a combination electrical appliance to be analyzed, and the entire combination electrical appliance is in a "faulty state" (total score is greater than or equal to 30 points), the overall maintenance cycle of the combination electrical appliance to be analyzed remains unchanged, and the maintenance content remains unchanged, which is a "full-range routine maintenance".

[0190] At the same time, between two "full-range routine maintenance", a "differentiated maintenance" will be carried out for the above-mentioned equipment categories that are in "attention status", including disassembly, replacement and other operations of the equipment.

[0191] When a certain combination electrical appliance to be analyzed is deducted points or its maintenance cycle is shortened during the maintenance process, resulting in the next such maintenance time being earlier than the current time, such maintenance work will be carried out immediately.

[0192] Step 203: Optimize the initial maintenance and inspection strategy using the target optimization data to generate a corresponding target maintenance and inspection strategy.

[0193] Furthermore, the target optimization data includes target optimization maintenance content and target optimization maintenance cycle, and the initial maintenance inspection strategy includes initial maintenance content and initial maintenance cycle. Step 203 may include the following sub-steps:

[0194] S31. Compare the target optimized maintenance content with the initial maintenance content.

[0195] S32. If the comparison result between the target optimized maintenance content and the initial maintenance content is consistent, the initial maintenance content is used as the target maintenance content.

[0196] S33. If the comparison result between the target optimized maintenance content and the initial maintenance content is inconsistent, the target optimized maintenance content is used as the target maintenance content.

[0197] In an example of the present invention, if the target optimized maintenance content in the target optimized data is consistent with the initial maintenance content in the initial maintenance patrol strategy, the maintenance content is not optimized and is still based on the original initial maintenance content.

[0198] If the target optimized maintenance content in the target optimized data is consistent with the initial maintenance content in the initial maintenance inspection strategy, the maintenance content is optimized and the target optimized maintenance content is set as the target maintenance content.

[0199] S34. Compare the target optimized maintenance cycle with the initial maintenance cycle.

[0200] S35. If the comparison result of the target optimized maintenance cycle is consistent with the initial maintenance cycle, the initial maintenance cycle is used as the target maintenance cycle.

[0201] S36. If the comparison result of the target optimized maintenance cycle is inconsistent with the initial maintenance cycle, the target optimized maintenance cycle is used as the target maintenance cycle.

[0202] In an example of the present invention, if the target optimized maintenance cycle in the target optimization data is consistent with the initial maintenance cycle in the initial maintenance patrol strategy, the maintenance cycle is not optimized and is still based on the original initial maintenance cycle.

[0203] If the target optimized maintenance cycle in the target optimized data is consistent with the initial maintenance cycle in the initial maintenance patrol strategy, the maintenance cycle is optimized and the target optimized maintenance cycle is set as the target maintenance cycle.

[0204] S37. Generate a corresponding target maintenance inspection strategy based on the target maintenance content and target maintenance cycle.

[0205] In the embodiment of the present invention, the target maintenance content is combined with the target maintenance period to generate a corresponding target maintenance inspection strategy.

[0206] Step 204: Use the target maintenance inspection strategy to perform maintenance on the analyzed combination electrical appliance, and generate new target health score data based on the maintenance results.

[0207] Furthermore, step 204 may include the following sub-steps:

[0208] S41. Use a targeted maintenance inspection strategy to inspect the combined electrical appliance to be analyzed and receive the inspection results.

[0209] In the embodiment of the present invention, the combined electrical appliance to be analyzed is repaired according to the generated target repair and inspection strategy, and the repair result is received.

[0210] S42. If the inspection result shows no abnormality, the target health score data is reduced according to a preset reduction rate, and new target health score data is generated.

[0211] The maintenance content includes three categories, A, B, and C, and does not only refer to the narrow maintenance methods such as "dismantling and maintenance" of the equipment. The above-mentioned defect points will be deducted according to the maintenance category, maintenance content, and maintenance depth. The significance of performing this step is mainly to correct the possibility that some normal equipment may be misjudged as defective due to the reliability of people or intelligent inspection devices during daily operations, or some defects may only occur once, resulting in deviations in the evaluation of such equipment. For example, an SF6 gas pressure gauge was identified as having low pressure in January due to a problem with the intelligent device recognition, and it was awarded 5 points. However, if the same problem is not found again after several maintenance and corrections, the points will be gradually deducted to 0.

[0212] The preset reduction rate can be determined according to the needs. In the present invention, it is an example. In the embodiment of the present invention, the following are the maintenance contents and the corresponding preset reduction rate reduction values:

[0213] Each time a Class C1 maintenance, i.e., general inspection maintenance, is carried out, that is, the inspection, testing, and maintenance work that needs to be carried out on the equipment during routine inspections, if the above abnormal factors are not found again, 0.1 points will be deducted from the initial health score data covered by this maintenance.

[0214] Each time a Class C2 maintenance is carried out, namely professional inspection and dynamic inspection, that is, diagnostic inspection, special inspection, simple repair, simple replacement, and test work is carried out on the equipment under specific conditions, if the above abnormal factors are not found again, 0.2 points will be deducted from the initial health score data covered by this maintenance.

[0215] Each time a Class B2 maintenance is carried out, that is, periodic testing work that requires or does not require power outages for the equipment, if the above-mentioned abnormal factors are not found again, 2 points will be deducted from the initial health score data covered by this maintenance.

[0216] For each B1 maintenance (i.e., equipment requiring power outage for partial inspection, simple repair, simple replacement, disassembly for repair, disassembly for replacement, or testing), if the aforementioned abnormal component undergoes partial inspection, simple repair, or simple replacement and passes the test, 1 point will be deducted from the health score of the project covered by this maintenance. If the aforementioned abnormal component undergoes disassembly for repair and passes the test, 3 points will be deducted from the health score of the project covered by this maintenance. If the aforementioned abnormal component undergoes disassembly for repair and passes the test, 5 points will be deducted from the initial health score data of the project covered by this maintenance.

[0217] Each time a Class A maintenance is carried out, that is, the equipment needs to be shut down and disassembled for maintenance work, and instruments or other tools are needed during the work, such as overhaul of circuit breakers, if the above-mentioned abnormal components are partially inspected and tested to be qualified, 1 point will be deducted from the initial health score of the items covered by this maintenance; if the above-mentioned abnormal components are simply repaired or replaced and tested to be qualified, 3 points will be deducted from the initial health score of the items covered by this maintenance; if the above-mentioned abnormal components are disassembled, repaired, replaced and tested to be qualified, 5 points will be deducted from the initial health score data covered by this maintenance; if the above-mentioned abnormal components are disassembled, repaired, replaced and tested to be qualified, the initial health score data covered by this maintenance will be cleared.

[0218] S43. If the inspection result is abnormal, the target health score data is updated.

[0219] Furthermore, S43 may include the following sub-steps:

[0220] S431. If an abnormality occurs in the inspection result, a target health feature is determined according to the type of abnormal fault and corresponding initial health score data is obtained.

[0221] S432. Determine whether the target health feature is a newly emerged health feature.

[0222] S433: If the target health feature is a newly emerged health feature, the sum of the initial health score data and the target health score data is calculated to generate new target health score data.

[0223] S434: If the target health feature is not a newly emerged health feature, the current initial health score data of the target health feature in the target health score data is restored to the original initial health score data, and new target health score data is generated.

[0224] In one example of the present invention, the above deduction only corresponds to the initial health score data covered by this overhaul, and the abnormal points caused by other reasons should not be deducted. The initial health score data covered by this overhaul is deducted to 0 points. If the above abnormal factors are found again during a certain overhaul (the same defect reappears), the original score of the project will be directly restored. For example, due to the problem of intelligent device recognition, the SF6 barometer mentioned above was identified as low pressure in January and scored 5 points. After several overhauls, it was deducted to 2.5 points. However, the same problem was found again during a certain overhaul, and the score will be restored to 5 points.

[0225] If new hidden dangers and defects that cannot be eliminated are discovered during the maintenance process, points will be increased according to the above 1)-6) types of manifestations.

[0226] When the same type of defects occur in multiple different parts of the same interval of the same combination electrical appliance, the scores are accumulated. When multiple different parts of the same interval are inspected separately, their scores are also cumulatively deducted.

[0227] Please note that the above cycle is only an automatically planned maintenance strategy. Operation and maintenance personnel can add any maintenance content (generally emergency fault elimination work) at any time based on human judgment results. The conclusion of the manually added maintenance work will immediately affect the health points, but will not affect the maintenance cycle automatically generated by the system.

[0228] Step 205: Compare the target health score data with the preset standard score threshold.

[0229] In the embodiment of the present invention, the specific implementation process of step 205 is similar to that of step 105 and will not be repeated here.

[0230] Step 206: If the target health score data is equal to the preset standard score threshold, then stop optimizing the initial maintenance inspection strategy.

[0231] In the embodiment of the present invention, the specific implementation process of step 206 is similar to that of step 106 and will not be repeated here.

[0232] Step 207: If the target health score data is not equal to the preset standard score threshold, the current target maintenance and inspection strategy is used as a new initial maintenance and inspection strategy.

[0233] In the embodiment of the present invention, if the target health score data is not equal to 0, the current target maintenance and inspection strategy is used as a new initial maintenance and inspection strategy.

[0234] Step 208: Use the current target health score data as new target health score data.

[0235] In the embodiment of the present invention, the current target health score data is used as the new target health score data.

[0236] Step 209 : Jump to the step of determining the corresponding optimized maintenance cycle according to the preset status score interval of the target health score data.

[0237] In the embodiment of the present invention, the step of jumping to determine the corresponding optimized maintenance cycle according to the preset status score interval of the target health score data is performed to further optimize the initial maintenance inspection strategy.

[0238] In one example of the present invention:

[0239] For example, if a GIS device completed A, B1, and C1 maintenance in January 2022 (B2 and C2 are similar and not detailed here), its current status is "2) a target health feature in the airtight component has a score of 2 points" + "4) a target health feature in the main accessories has a score of 3 points" (this does not necessarily clear after the A maintenance, because the A maintenance may not cover some parts).

[0240] Assume that the initial inspection and maintenance strategy is that C1 maintenance is daily inspection once a month, B1 maintenance is maintenance and replacement once every two years, and A maintenance is dismantling and maintenance every six years.

[0241] If the 6 types of initial health score data are all in "normal state" according to the operating conditions and have not reached "caution state" (less than 5 points), the time interval based on the overall maintenance cycle of the analyzed combination electrical appliance will be doubled, and the disassembly, replacement and other operations of the equipment will be cancelled. For projects with an original maintenance cycle longer than 6 years, the principle of not extending the time interval will apply.

[0242] The final dynamic maintenance strategy for a GIS device is as follows:

[0243] The C1 repair will be carried out once in March 2022, the B1 repair will be carried out once in January 2026 and will only include maintenance and simple repair and replacement, without disassembly and repair and replacement, and the A repair will be carried out once in 2028 and will only include maintenance and simple repair and replacement, without disassembly and repair and replacement, and no disassembly.

[0244] For example, if a GIS device undergoes a C1 maintenance in March 2022 and the target health characteristics in "2) Airtight components" and the target health characteristics in "4) Major accessories" are not found, then for each C1 maintenance, if the above abnormal factors are not found again, 0.1 points will be deducted from the initial health score data covered by this maintenance. The initial health score data of the GIS device will be changed to "1.9 points for a target health characteristic in 2) Airtight components" + "2.9 points for a target health characteristic in 4) Major accessories".

[0245] For example, if a GIS device undergoes a C1 repair in May 2022 and no target health feature is found in "2) Airtight components", but a defect with a previous deduction record recurs in "4) Major accessories", the initial health score of the GIS device will be changed to "1.8 points for a target health feature in 2) Airtight components" + "3 points for a target health feature in 4) Major accessories" (the original deduction of 2.9 points will be restored to 3 points due to the recurrence of the target health feature).

[0246] For example, if a GIS device is found to have a new defect after the C1 repair in July 2022, and its status changes to "2) a target health feature in the airtight component scores 2.8 points" + "4) two target health features in the main accessories score 8 points", then if any of the six types of initial health score data reaches the "caution status" (greater than or equal to 5 points), but the entire set of combination electrical appliances is in the "normal status" (total score less than 20 points), the time interval of the existing overall maintenance cycle of the combination electrical appliances will be doubled, and the disassembly, replacement and other operations of the equipment will be cancelled; between the two "full-range inspection maintenance", a "differentiated maintenance" will be carried out for the above-mentioned equipment categories in the "caution status", including disassembly, replacement and other operations of the equipment.

[0247] The target maintenance inspection strategy for a GIS equipment is as follows:

[0248] Regarding 4) the “differentiated maintenance” C1 of the main accessories, it will be carried out once in August 2022.

[0249] A "full-scope inspection and maintenance" C1 maintenance for all components will be carried out once in September 2022;

[0250] Regarding 4) the "differentiated maintenance" B1 of the main accessories, it will be carried out once in January 2024 and will include maintenance items such as disassembly and replacement. (The last B1 maintenance was in January 2022. B1 maintenance is once every two years. The entire combination electrical appliance is in "normal condition". Therefore, the overall B1 maintenance cycle is once every four years. Between the two "full-range inspection maintenance", a "differentiated maintenance" will be carried out for the above-mentioned equipment categories that are in "attention condition". Therefore, it is scheduled to be carried out in January 2024).

[0251] The "full-range inspection and maintenance" B1 repair for all components will be carried out once in January 2026, and will only include maintenance and simple repairs and replacements, without disassembly, repair and replacement (same reason as above).

[0252] A maintenance period of 2028 will consist of disassembly and replacement of only 4) major accessories. Other parts will only be maintained and replaced with simple repairs and replacements, without disassembly. (For items with an original maintenance interval of six years or more, the interval will not be extended.)

[0253] In another example of the present invention:

[0254] For example, if a GIS device is found to have a new defect after the C1 repair in March 2024, and its status changes to "2) a certain target health feature in the airtight component scores 3 points" + "4) three target health features in the main accessories score 18 points", then when a certain combination electrical appliance is deducted from its operating status, the entire combination electrical appliance is in an "abnormal state" (total score greater than or equal to 20 points), and the existing overall maintenance cycle of the combination electrical appliance remains unchanged, including disassembly and replacement of the equipment (consistent with the existing maintenance items), which is a "full-range routine maintenance".

[0255] The final dynamic maintenance strategy for a GIS device is as follows:

[0256] A "full scope routine maintenance" C1 repair for all components will be carried out once in April 2024;

[0257] The "full-range routine maintenance" B1 maintenance for all components will be carried out immediately and includes disassembly, replacement and other operations of the equipment (consistent with the existing maintenance items). (The last full-range B1 maintenance was in January 2022, and B1 maintenance is once every two years. The entire combination electrical appliance is in an "abnormal state", so the next B1 maintenance should be in January 2024. When a combination electrical appliance is deducted points or the maintenance cycle is shortened during the maintenance process, resulting in the next such maintenance time being earlier than the current time, then such maintenance work will be carried out immediately, and the next B1 maintenance time will be March 2024.)

[0258] The "full-scope routine maintenance" A maintenance for all components will be carried out once in 2028 and will include operations such as disassembly, replacement, and dismantling of equipment (consistent with existing maintenance items).

[0259] In another example of the present invention:

[0260] For example, if a GIS device is found to have a new defect after the C1 overhaul in January 2025, and its status changes to "2) 15 points for five target health characteristics within the airtight component" + "18 points for three target health characteristics within the main accessories", then when a point deduction occurs for the operating condition of a certain combination electrical appliance, the entire combination electrical appliance is in a "faulty state" (total score greater than or equal to 30 points), the existing overall overhaul cycle of the combination electrical appliance remains unchanged, and the maintenance content remains unchanged, which is a "full-range routine overhaul". At the same time, between two "full-range routine overhauls", a "differentiated overhaul" is carried out for the above-mentioned equipment categories in the "attention state", including disassembly and replacement of the equipment. The final dynamic maintenance strategy for a GIS device is as follows:

[0261] The "differentiated maintenance" C1 repair for "2) five target health characteristics within airtight components" + "4) three target health characteristics within major accessories" will be carried out once in early February 2025.

[0262] A "full scope routine maintenance" C1 repair for all components will be carried out once in late February 2025;

[0263] The "differentiated maintenance" B1 repair for "2) five target health characteristics within airtight components" + "4) three target health characteristics within major accessories" will be carried out once in March 2025 and includes maintenance items such as disassembly and replacement. (The last full-scope B1 repair was in March 2024. B1 repair is performed every two years. The entire combination electrical appliance is in a "faulty state", so the overall B1 repair cycle is every two years. Between the two "full-scope routine repairs", a "differentiated maintenance" will be carried out for the above-mentioned equipment categories that are in a "caution state", so it is scheduled to be carried out in March 2025).

[0264] The "full-scale routine maintenance" B1 maintenance for all components will be carried out once in March 2026 and will include disassembly and replacement of equipment (consistent with existing maintenance items) (for the same reason as above).

[0265] For the "differentiated maintenance" of "2) five target health characteristics within airtight components" + "4) three target health characteristics within major accessories", A maintenance will be carried out immediately once and includes maintenance items such as disassembly and replacement. (The last full-scale A maintenance was in January 2022, and A maintenance is once every 6 years. The entire combination electrical appliance is in a "faulty state", so the overall A maintenance cycle is once every 6 years. Between the two "full-scale routine maintenance", a "differentiated maintenance" will be carried out for the above-mentioned equipment categories in the "attention state", so it is scheduled to be carried out in January 2025. When a combination electrical appliance is deducted points or the maintenance cycle is shortened during the maintenance process, resulting in the next such maintenance time being earlier than the current time, such maintenance work will be carried out immediately).

[0266] The "full-scope routine maintenance" A maintenance for all components will be carried out once in 2028 and will include operations such as disassembly, replacement, and dismantling of equipment (consistent with existing maintenance items).

[0267] The above example only lists maintenance categories A, B1, and C1, and assumes that the initial inspection and patrol strategy for C1 maintenance is daily inspection and maintenance once a month, B1 maintenance is maintenance and replacement once every two years, and A maintenance is disassembly and maintenance every six years. Actual equipment inspection and patrol strategies include maintenance categories A, B1, B2, C1, and C2. This example is provided for ease of understanding only, and the application of this application is not limited to the above scenario.

[0268] In an embodiment of the present invention, in response to a received patrol strategy optimization request, a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request are determined and corresponding target health score data and an initial maintenance patrol strategy are obtained. Based on the target state score interval in which the target health score data is located, corresponding target optimization data are determined. The initial maintenance patrol strategy is optimized using the target optimization data to generate a corresponding target maintenance patrol strategy. The combination electrical appliance to be analyzed is repaired using the target maintenance patrol strategy. New target health score data is generated based on the repair results. The target health score data is compared with a preset standard score threshold. If the target health score data is equal to the preset standard score threshold, the optimization of the initial maintenance patrol strategy is stopped. This solves the technical problem that the existing system maintenance adopts a fixed cycle system and fixed maintenance content. When the total system volume is large, maintenance work cycle management is relatively difficult. The fixed cycle and work items also make the maintenance work lack focus. There is no differentiation based on the specific characteristics of each combination electrical appliance in each substation. It is difficult to formulate a reasonable maintenance strategy based on the defects in the operation of the combination electrical appliance, resulting in waste of manpower and material resources and a long time.

[0269] See also Figure 3 , Figure 3 This is a structural block diagram of a device for optimizing patrol strategies of a combination electrical appliance provided in the third embodiment of the present invention.

[0270] An embodiment of the present invention provides a device for optimizing a patrol strategy of a combination electrical appliance, comprising:

[0271] The response module 301 is configured to respond to the received patrol strategy optimization request, determine a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request, and obtain corresponding target health score data and an initial maintenance patrol strategy.

[0272] The target optimization data acquisition module 302 is used to determine the corresponding target optimization data according to the target status score interval in which the target health score data is located.

[0273] The target maintenance and inspection strategy generating module 303 is used to optimize the initial maintenance and inspection strategy using the target optimization data to generate a corresponding target maintenance and inspection strategy.

[0274] The updating module 304 is used to perform maintenance on the analyzed combined electrical appliance using a target maintenance inspection strategy, and generate new target health score data according to the maintenance results.

[0275] The comparison module 305 is used to compare the target health score data with a preset standard score threshold.

[0276] The optimization module 306 is configured to stop optimizing the initial maintenance inspection strategy if the target health score data is equal to a preset standard score threshold.

[0277] Furthermore, in relation to the data management system, the operation data management system and the inspection and patrol system, the response module 301 includes:

[0278] The to-be-analyzed combined electrical appliance determination submodule is configured to, in response to a received patrol strategy optimization request, determine a plurality of to-be-analyzed combined electrical appliances corresponding to the patrol strategy optimization request.

[0279] The data acquisition submodule for the data to be analyzed is used to acquire the data to be analyzed corresponding to the multiple combination electrical appliances to be analyzed through the data management system.

[0280] The submodule for obtaining the operating data to be analyzed is used to obtain the operating data to be analyzed corresponding to the multiple combination electrical appliances to be analyzed through the operating data management system.

[0281] The initial maintenance and inspection strategy acquisition submodule is used to obtain the initial maintenance and inspection strategies corresponding to multiple combination electrical appliances to be analyzed through the maintenance and inspection system.

[0282] The target health score data determination submodule is used to determine the corresponding target health score data using the information data to be analyzed and the operating data to be analyzed.

[0283] Furthermore, it also relates to a health feature extraction system, and the target health score data determination submodule includes:

[0284] The target health feature acquisition unit is used to extract multiple target health features in the data to be analyzed and the operating data to be analyzed through the health feature extraction system.

[0285] The initial health score data acquisition unit is used to search the preset health feature key-value pair database according to the target health feature and determine a plurality of corresponding initial health score data.

[0286] The target health score data acquisition unit is used to calculate the sum of all initial health score data and determine the corresponding target health score data.

[0287] Furthermore, the target optimization data acquisition module 302 includes:

[0288] The target status score interval determination submodule is used to search the preset status score interval database according to the target health score data and determine the target status score interval corresponding to the target health score data.

[0289] The target optimization data determination submodule is used to determine the optimization data associated with the target state score interval as the target optimization data.

[0290] Furthermore, the target optimization data includes target optimization maintenance content and target optimization maintenance cycle, the initial maintenance inspection strategy includes initial maintenance content and initial maintenance cycle, and the target maintenance inspection strategy generation module 303 includes:

[0291] The first comparison submodule is used to compare the target optimized maintenance content with the initial maintenance content.

[0292] The first data processing submodule is configured to use the initial maintenance content as the target maintenance content if the comparison result between the target optimized maintenance content and the initial maintenance content is consistent.

[0293] The second data processing submodule is used to use the target optimized maintenance content as the target maintenance content if the comparison result between the target optimized maintenance content and the initial maintenance content is inconsistent.

[0294] The second comparison submodule is used to compare the target optimized maintenance cycle with the initial maintenance cycle.

[0295] The third data processing submodule is configured to use the initial maintenance cycle as the target maintenance cycle if the comparison result between the target optimized maintenance cycle and the initial maintenance cycle is consistent.

[0296] The fourth data processing submodule is configured to use the target optimized maintenance cycle as the target maintenance cycle if the comparison result between the target optimized maintenance cycle and the initial maintenance cycle is inconsistent.

[0297] The target maintenance inspection strategy generation submodule is used to generate the corresponding target maintenance inspection strategy according to the target maintenance content and target maintenance cycle.

[0298] Furthermore, the update module 304 includes:

[0299] The maintenance result receiving submodule is used to perform maintenance on the analyzed combined electrical appliance using a target maintenance inspection strategy and receive the maintenance results.

[0300] The first updating submodule is configured to reduce the target health score data according to a preset reduction range and generate new target health score data if no abnormality is found in the inspection result.

[0301] The second updating submodule is used to update the target health score data if the inspection result is abnormal.

[0302] Furthermore, the second update submodule includes:

[0303] The fault type determination unit is used to determine the target health feature and obtain the corresponding initial health score data according to the fault type of the abnormality if the maintenance result is abnormal.

[0304] The judging unit is used to judge whether the target health feature is a newly emerged health feature.

[0305] The first updating unit is configured to calculate the sum of the initial health score data and the target health score data to generate new target health score data if the target health feature is a newly emerged health feature.

[0306] The second updating unit is configured to restore the current initial health score data of the target health feature in the target health score data to the original initial health score data and generate new target health score data if the target health feature is not a newly emerged health feature.

[0307] Furthermore, it also includes:

[0308] The initial maintenance inspection strategy update module is used to use the current target maintenance inspection strategy as a new initial maintenance inspection strategy if the target health score data is not equal to the preset standard score threshold.

[0309] The target health score data updating module is used to use the current target health score data as the new target health score data.

[0310] The jump module is used to jump to the step of determining the corresponding optimized maintenance cycle according to the preset status score interval of the target health score data.

[0311] In an embodiment of the present invention, in response to a received patrol strategy optimization request, a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request are determined and corresponding target health score data and an initial maintenance patrol strategy are obtained. Based on the target state score interval in which the target health score data is located, corresponding target optimization data are determined. The initial maintenance patrol strategy is optimized using the target optimization data to generate a corresponding target maintenance patrol strategy. The combination electrical appliance to be analyzed is repaired using the target maintenance patrol strategy. New target health score data is generated based on the repair results. The target health score data is compared with a preset standard score threshold. If the target health score data is equal to the preset standard score threshold, the optimization of the initial maintenance patrol strategy is stopped. This solves the technical problem that the existing system maintenance adopts a fixed cycle system and fixed maintenance content. When the total system volume is large, maintenance work cycle management is relatively difficult. The fixed cycle and work items also make the maintenance work lack focus. There is no differentiation based on the specific characteristics of each combination electrical appliance in each substation. It is difficult to formulate a reasonable maintenance strategy based on the defects in the operation of the combination electrical appliance, resulting in waste of manpower and material resources and a long time.

[0312] An electronic device according to an embodiment of the present invention includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor executes the method for optimizing the patrol strategy of a combination electrical appliance according to any of the above embodiments.

[0313] The memory can be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk, or a ROM. The memory has storage space for program codes for executing any of the method steps in the above method. For example, the storage space for program codes can include individual program codes for implementing the various steps in the above method. These program codes can be read from or written to one or more computer program products. These computer program products include program code carriers such as a hard disk, a compact disc (CD), a memory card, or a floppy disk. The program code can, for example, be compressed in an appropriate form. When these codes are run by a computing and processing device, they cause the computing and processing device to execute the various steps in the above-described method.

[0314] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0315] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0316] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0317] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0318] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing a combination electrical appliance patrol strategy, characterized in that: include: In response to the received patrol strategy optimization request, determining a plurality of combined electrical appliances to be analyzed corresponding to the patrol strategy optimization request and obtaining corresponding target health score data and an initial maintenance patrol strategy; Determining corresponding target optimization data according to the target status score interval in which the target health score data is located; Optimizing the initial maintenance inspection strategy using the target optimization data to generate a corresponding target maintenance inspection strategy; Using the target maintenance inspection strategy to perform maintenance on the combined electrical appliance to be analyzed, and generating new target health score data according to the maintenance results; Comparing the target health score data with a preset standard score threshold; If the target health score data is equal to the preset standard score threshold, then stop optimizing the initial maintenance inspection strategy; Involving a data management system, an operation data management system, and a maintenance and inspection system, the steps of responding to a received inspection strategy optimization request, determining a plurality of combination electrical appliances to be analyzed corresponding to the inspection strategy optimization request, and obtaining corresponding target health score data and an initial maintenance and inspection strategy include: In response to the received patrol strategy optimization request, determining a plurality of combined electrical appliances to be analyzed corresponding to the patrol strategy optimization request; Acquiring, through the data management system, data to be analyzed corresponding to the plurality of combined electrical appliances to be analyzed; Acquiring, through the operation data management system, the operation data to be analyzed corresponding to the plurality of combination electrical appliances to be analyzed; Acquiring initial maintenance and inspection strategies corresponding to the plurality of combined electrical appliances to be analyzed through the maintenance and inspection system; The data to be analyzed and the operating data to be analyzed are used to determine corresponding target health score data.

2. The optimization method of combination electrical appliance patrol strategy according to claim 1, characterized in that: Also provided is a health feature extraction system, wherein the step of using the information data to be analyzed and the operating data to be analyzed to determine the corresponding target health score data includes: Extracting a plurality of target health features from the data to be analyzed and the operating data to be analyzed by the health feature extraction system; Searching a preset health feature key-value pair database according to the target health feature to determine a plurality of corresponding initial health score data; The sum of all the initial health score data is calculated to determine the corresponding target health score data.

3. The optimization method of combination electrical appliance patrol strategy according to claim 1, characterized in that: The step of determining corresponding target optimization data according to the target status score interval in which the target health score data is located includes: Searching a preset status score interval database according to the target health score data to determine the target status score interval corresponding to the target health score data; The optimization data associated with the target state score interval is determined as target optimization data.

4. The optimization method of combination electrical appliance patrol strategy according to claim 1, characterized in that: The target optimization data includes target optimization maintenance content and target optimization maintenance cycle, the initial maintenance inspection strategy includes initial maintenance content and initial maintenance cycle, and the step of optimizing the initial maintenance inspection strategy using the target optimization data to generate a corresponding target maintenance inspection strategy includes: Comparing the target optimized maintenance content with the initial maintenance content; If the comparison result of the target optimized maintenance content is consistent with the initial maintenance content, the initial maintenance content is used as the target maintenance content; If the comparison result of the target optimized maintenance content is inconsistent with the initial maintenance content, the target optimized maintenance content is used as the target maintenance content; comparing the target optimized maintenance cycle with the initial maintenance cycle; If the target optimized maintenance cycle is consistent with the initial maintenance cycle, the initial maintenance cycle is used as the target maintenance cycle; If the comparison result of the target optimized maintenance period is inconsistent with the initial maintenance period, the target optimized maintenance period is used as the target maintenance period; According to the target maintenance content and the target maintenance period, a corresponding target maintenance inspection strategy is generated.

5. The optimization method of combination electrical appliance patrol strategy according to claim 1, characterized in that: The step of using the target maintenance inspection strategy to perform maintenance on the combined electrical appliance to be analyzed and generating new target health score data according to the maintenance results includes: Using the target maintenance inspection strategy to perform maintenance on the combined electrical appliance to be analyzed, and receiving maintenance results; If the inspection result is normal, the target health score data is reduced according to a preset reduction rate, and new target health score data is generated; If the inspection result is abnormal, the target health score data is updated.

6. The optimization method of combination electrical appliance patrol strategy according to claim 5, characterized in that: If the inspection result is abnormal, the step of updating the target health score data includes: If the inspection result is abnormal, the target health feature is determined according to the type of abnormal fault and the corresponding initial health score data is obtained; Determining whether the target health characteristic is a newly emerged health characteristic; If the target health feature is a newly emerged health feature, calculating the sum of the initial health score data and the target health score data to generate new target health score data; If the target health feature is not a newly emerged health feature, the current initial health score data of the target health feature in the target health score data is restored to the original initial health score data, and new target health score data is generated.

7. The optimization method of combination electrical appliance patrol strategy according to claim 1, characterized in that: Also includes: If the target health score data is not equal to the preset standard score threshold, the current target maintenance inspection strategy is used as a new initial maintenance inspection strategy; Using the current target health score data as new target health score data; Jump to the step of determining the corresponding optimized maintenance cycle according to the preset status score interval of the target health score data.

8. An optimization device for combination electrical appliance patrol strategy, characterized in that: include: a response module, configured to respond to a received patrol strategy optimization request, determine a plurality of combination electrical appliances to be analyzed corresponding to the patrol strategy optimization request, and obtain corresponding target health score data and an initial maintenance patrol strategy; A target optimization data acquisition module is used to determine corresponding target optimization data according to the target state score interval in which the target health score data is located; A target maintenance inspection strategy generation module is used to optimize the initial maintenance inspection strategy using the target optimization data to generate a corresponding target maintenance inspection strategy; An updating module, configured to perform maintenance on the combined electrical appliance to be analyzed using the target maintenance inspection strategy, and generate new target health score data based on the maintenance results; A comparison module, configured to compare the target health score data with a preset standard score threshold; an optimization module, configured to stop optimizing the initial maintenance inspection strategy if the target health score data is equal to the preset standard score threshold; Involving the data management system, operation data management system and maintenance inspection system, the response modules include: a submodule for determining a combined electrical appliance to be analyzed, configured to determine, in response to a received patrol strategy optimization request, a plurality of combined electrical appliances to be analyzed corresponding to the patrol strategy optimization request; The data acquisition submodule for the data to be analyzed is used to acquire the data to be analyzed corresponding to the plurality of combination electrical appliances to be analyzed through the data management system; The submodule for obtaining the operating data to be analyzed is used to obtain the operating data to be analyzed corresponding to the plurality of combination electrical appliances to be analyzed through the operating data management system; The initial maintenance inspection strategy acquisition submodule is used to obtain the initial maintenance inspection strategies corresponding to the multiple combination electrical appliances to be analyzed through the maintenance inspection system; The target health score data determination submodule is used to determine the corresponding target health score data using the information data to be analyzed and the operating data to be analyzed.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method for optimizing the patrol strategy of a combination electrical appliance according to any one of claims 1 to 7.

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