Intelligent regular checking method of wind power system and related device

Abstract

The embodiment of the invention relates to the field of data processing, and provides an intelligent regular checking method and related device for a wind power system, and the method comprises the steps: obtaining the current equipment operation information and historical regular checking information of a monitored wind power system; determining a reference regular checking strategy according to the current equipment operation information; determining regular checking strategy correction information according to the historical regular checking information; performing correction processing on the reference regular checking strategy by adopting the regular checking strategy correction information to obtain a target regular checking strategy; and sending the target regular checking strategy to terminal equipment of a target user to indicate the target user to adopt the target regular checking strategy to carry out regular checking processing on equipment to be checked in the wind power system, so that a more matched regular checking strategy can be formulated by combining current equipment operation information and historical regular checking information of the wind power system. And the information is sent to the inspection personnel for regular inspection, so that the efficiency of regular inspection is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to an intelligent regular inspection method and related devices for a wind power system. Background Art

[0002] With the continuous advancement of digital and intelligent technologies, the wind power industry faces an urgent need to improve efficiency, reduce costs, and enhance safety. Existing solutions typically rely on manual inspections to perform regular inspections of wind power systems. However, this approach alone suffers from low efficiency and other issues. Summary of the Invention

[0003] The embodiments of the present application provide an intelligent scheduled inspection method and related devices for a wind power system, which can combine the current equipment operation information and historical scheduled inspection information of the wind power system to formulate a more suitable scheduled inspection strategy, and send it to the inspectors for scheduled inspection, thereby improving the efficiency of the scheduled inspection.

[0004] A first aspect of an embodiment of the present application provides an intelligent scheduled inspection method for a wind power system, the method comprising: Obtain the current equipment operation information and historical inspection information of the monitored wind power system; Determining a reference scheduled inspection strategy based on the current equipment operation information; Determining scheduled inspection strategy correction information based on the historical scheduled inspection information; Correcting the reference inspection strategy using the inspection strategy correction information to obtain a target inspection strategy; The target scheduled inspection strategy is sent to a terminal device of a target user to instruct the target user to use the target scheduled inspection strategy to perform scheduled inspection processing on the equipment to be inspected in the wind power system.

[0005] In one possible implementation, determining a reference scheduled inspection strategy based on the current device operation information includes: Perform parameter verification and screening on the current equipment operation information to obtain sub-equipment operation information of k equipment to be inspected; Determine k sub-reference scheduled inspection strategies based on the sub-equipment operation information of k devices to be inspected; The k sub-reference scheduled inspection strategies are fused to obtain the reference scheduled inspection strategy.

[0006] In one possible implementation, determining k sub-reference scheduled inspection strategies based on sub-device operation information of the k devices to be inspected includes: Extracting the equipment operation information that meets the priority inspection requirement from the first sub-equipment operation information to obtain the reference equipment operation information, where the first sub-equipment operation information is any one of the sub-equipment operation information of the k equipment to be inspected; Evaluate the inspection priority of the reference equipment operation information to obtain the inspection priority of n components; Extracting the operation information of each of the n components from the reference device operation information to obtain n sub-reference device operation information; Obtain the deviations between the operating information of n sub-reference devices and the corresponding preset standard device operating information respectively, and obtain n target deviations; Determine the inspection strategy for the corresponding component according to the n target deviations, and obtain n first sub-inspection strategies; According to the inspection priorities of n components, the n first sub-inspection strategies are integrated to obtain a sub-reference inspection strategy; Repeat the above method of extracting the equipment operation information that meets the priority inspection from the first sub-equipment operation information to obtain the reference equipment operation information, and then fuse the n first sub-inspection strategies according to the inspection priorities of n components to obtain the sub-reference inspection strategy, until k sub-reference inspection strategies are obtained.

[0007] In one possible implementation, determining the scheduled inspection strategy correction information according to the historical scheduled inspection information includes: Extracting k historical scheduled inspection information sets of devices to be inspected from the historical scheduled inspection information to obtain k reference historical scheduled inspection information sets; Determine k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets; The k sub-scheduled inspection strategy correction information is fused to obtain the scheduled inspection strategy correction information.

[0008] In one possible implementation, determining k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets includes: performing information fluctuation extraction on first reference historical scheduled inspection information in a first reference historical scheduled inspection information set to obtain a scheduled inspection information fluctuation parameter, wherein the first reference historical scheduled inspection information set is any one of k reference historical scheduled inspection information sets; Performing scheduled inspection strategy merging on the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain first target historical scheduled inspection information; Determining sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and scheduled inspection information fluctuation parameters; Repeat the above steps from extracting information fluctuations from the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain the scheduled inspection information fluctuation parameters, to determining the sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and the scheduled inspection information fluctuation parameters, until k sub-scheduled inspection strategy correction information are obtained.

[0009] A second aspect of the embodiments of the present application provides an intelligent regular inspection device for a wind power system, the device comprising: An acquisition unit, used to obtain current equipment operation information and historical scheduled inspection information of the monitored wind power system; A first determining unit, configured to determine a reference scheduled inspection strategy based on the current equipment operation information; A second determining unit, configured to determine scheduled inspection strategy correction information based on the historical scheduled inspection information; a correction unit, configured to correct the reference scheduled inspection strategy using the scheduled inspection strategy correction information to obtain a target scheduled inspection strategy; The sending unit is configured to send the target scheduled inspection strategy to a terminal device of a target user, so as to instruct the target user to perform scheduled inspection on the equipment to be inspected in the wind power system using the target scheduled inspection strategy.

[0010] In a possible implementation, the first determining unit is specifically configured to: Perform parameter verification and screening on the current equipment operation information to obtain sub-equipment operation information of k equipment to be inspected; Determine k sub-reference scheduled inspection strategies based on the sub-equipment operation information of k devices to be inspected; The k sub-reference scheduled inspection strategies are fused to obtain the reference scheduled inspection strategy.

[0011] In one possible implementation, in determining the k sub-reference scheduled inspection strategies based on the sub-device operation information of the k devices to be inspected, the first determining unit is specifically configured to: Extracting the equipment operation information that meets the priority inspection requirement from the first sub-equipment operation information to obtain the reference equipment operation information, where the first sub-equipment operation information is any one of the sub-equipment operation information of the k equipment to be inspected; Evaluate the inspection priority of the reference equipment operation information to obtain the inspection priority of n components; Extracting the operation information of each of the n components from the reference device operation information to obtain n sub-reference device operation information; Obtain the deviations between the operating information of n sub-reference devices and the corresponding preset standard device operating information respectively, and obtain n target deviations; Determine the inspection strategy for the corresponding component according to the n target deviations, and obtain n first sub-inspection strategies; According to the inspection priorities of n components, the n first sub-inspection strategies are integrated to obtain a sub-reference inspection strategy; Repeat the above method of extracting the equipment operation information that meets the priority inspection from the first sub-equipment operation information to obtain the reference equipment operation information, and then fuse the n first sub-inspection strategies according to the inspection priorities of n components to obtain the sub-reference inspection strategy, until k sub-reference inspection strategies are obtained.

[0012] In one possible implementation, the second determining unit is specifically configured to: Extracting k historical scheduled inspection information sets of devices to be inspected from the historical scheduled inspection information to obtain k reference historical scheduled inspection information sets; Determine k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets; The k sub-scheduled inspection strategy correction information is fused to obtain the scheduled inspection strategy correction information.

[0013] In one possible implementation, in determining the k sub-scheduled inspection strategy correction information based on the k reference historical scheduled inspection information sets, the second determining unit is specifically configured to: performing information fluctuation extraction on first reference historical scheduled inspection information in a first reference historical scheduled inspection information set to obtain a scheduled inspection information fluctuation parameter, wherein the first reference historical scheduled inspection information set is any one of k reference historical scheduled inspection information sets; Performing scheduled inspection strategy merging on the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain first target historical scheduled inspection information; Determining sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and scheduled inspection information fluctuation parameters; Repeat the above steps from extracting information fluctuations from the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain the scheduled inspection information fluctuation parameters, to determining the sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and the scheduled inspection information fluctuation parameters, until k sub-scheduled inspection strategy correction information are obtained.

[0014] A third aspect of an embodiment of the present application provides a terminal, comprising a processor, an input device, an output device, and a memory, wherein the processor, input device, output device, and memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions and execute the step instructions in the first aspect of the embodiment of the present application.

[0015] The fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables a computer to execute some or all of the steps described in the first aspect of the embodiments of the present application.

[0016] A fifth aspect of the embodiments of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

[0017] The implementation of the embodiments of the present application has the following beneficial effects: By acquiring the current equipment operation information and historical inspection information of the monitored wind power system, determining a reference inspection strategy based on the current equipment operation information, determining inspection strategy correction information based on the historical inspection information, and using the inspection strategy correction information to calibrate the reference inspection strategy to obtain a target inspection strategy, the target inspection strategy is sent to the terminal device of the target user to instruct the target user to use the target inspection strategy to perform inspection on the equipment to be inspected in the wind power system. Therefore, a more suitable inspection strategy can be formulated in combination with the current equipment operation information and historical inspection information of the wind power system, and sent to the inspector for inspection, thereby improving the efficiency of inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application 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 application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0019] Figure 1 A flow chart of an intelligent inspection method for a wind power system is provided for an embodiment of the present application; Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application; Figure 3 A structural schematic diagram of an intelligent regular inspection device for a wind power system is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0021] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0022] References to "embodiments" in this application mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0023] To better understand the intelligent inspection method for a wind power system provided in an embodiment of the present application, the following first briefly introduces existing wind power system inspection methods. In existing solutions, inspections are usually performed manually. For example, when manual inspections are used, the inspectors use a fixed inspection strategy, which may result in a longer inspection time for some non-critical inspection areas, while the inspection methods for critical areas are insufficient, etc., which reduces the efficiency and safety of the inspection.

[0024] In order to solve the above problems, an embodiment of the present application provides an intelligent scheduled inspection method for a wind power system, which can combine the current equipment operation information and historical scheduled inspection information of the wind power system to formulate a more suitable scheduled inspection strategy, and send it to the inspectors for scheduled inspection, thereby improving the efficiency of scheduled inspection.

[0025] See also Figure 1 , Figure 1 The present invention provides a flow chart of an intelligent inspection method for a wind power system. Figure 1 As shown, the method includes: 101. Obtain the current equipment operation information and historical scheduled inspection information of the monitored wind power system.

[0026] Current equipment operation information and historical inspection information can be extracted from the system database. A wind power system includes rotors, transmissions, generators, towers, protection devices, grid-connected equipment, switchgear, and more. This section only lists some of the equipment.

[0027] 102. Determine a reference scheduled inspection strategy based on the current equipment operation information.

[0028] You can verify and filter the current device operation information to obtain the operation information of multiple sub-devices. For example, you can filter out the operation information of sub-devices with higher inspection priorities. Because some devices may require lower inspection frequency than others, prioritizing devices with higher inspection frequencies and then appropriately foregoing inspections of devices with lower inspection frequencies, or even devices of extremely low importance, can greatly improve the efficiency and accuracy of scheduled inspections.

[0029] The corresponding sub-reference inspection strategy can be determined according to the sub-device operation information, and finally the sub-reference inspection strategies are integrated to obtain the reference inspection strategy.

[0030] Specifically, in one possible implementation, determining a reference scheduled inspection strategy based on the current device operation information includes: A1. Verify and filter the parameters of the current equipment operation information to obtain the sub-equipment operation information of k equipment to be inspected; A2. Determine k sub-reference scheduled inspection strategies based on the sub-device operation information of the k devices to be inspected; A3. Fusing the k sub-reference scheduled inspection strategies to obtain the reference scheduled inspection strategy.

[0031] Parameters can be verified and screened based on scheduled inspection priorities to obtain the sub-device operating information for k devices to be inspected. For example, devices with a priority higher than the first scheduled inspection priority are identified as devices to be inspected, and the corresponding sub-device operating information is extracted. For devices with a priority lower than the first scheduled inspection priority, standard scheduled inspection methods can be used for processing.

[0032] A method for determining k sub-reference scheduled inspection strategies based on sub-device operation information of k devices to be inspected, comprising: B1. Extracting the equipment operation information that meets the priority inspection requirement from the first sub-equipment operation information to obtain reference equipment operation information, where the first sub-equipment operation information is any one of the sub-equipment operation information of the k equipment to be inspected; B2. Evaluate the inspection priority of the reference equipment operation information to obtain the inspection priority of n components; B3. Extracting the operating information of each of the n components from the reference device operating information to obtain n sub-reference device operating information; B4. Obtain the deviations between the operating information of n sub-reference devices and the corresponding preset standard device operating information to obtain n target deviations; B5. Determine the inspection strategy for the corresponding component based on the n target deviations, and obtain n first sub-inspection strategies; B6. Fusing the n first sub-scheduled inspection strategies according to the n component inspection priorities to obtain a sub-reference scheduled inspection strategy; B7. Repeat the above method of extracting the equipment operation information that meets the priority inspection requirements from the first sub-equipment operation information to obtain the reference equipment operation information, and then fuse the n first sub-inspection strategies according to the n component inspection priorities to obtain the sub-reference inspection strategy, until k sub-reference inspection strategies are obtained.

[0033] The equipment operating information eligible for priority inspection can be interpreted as indicating that there are components among the equipment awaiting inspection that require priority inspection. Specifically, their inspection priority may be higher than the second-priority inspection priority. Developing precise inspection strategies for these components improves the accuracy and reliability of scheduled inspections.

[0034] After determining the reference equipment operation information, it can be prioritized again to obtain n component inspection priorities.

[0035] The preset standard equipment operation information can be understood as the equipment operation information when the component is operating normally or in high-performance operation. This information can be determined after the component is assembled.

[0036] Different deviation intervals correspond to different fixed inspection strategies, so that the corresponding fixed inspection strategy can be determined according to the deviation interval in which the target deviation is located, thereby obtaining a first sub-fixed inspection strategy.

[0037] The n first sub-regular inspection strategies may be concatenated in descending order of component regular inspection priority to obtain a sub-reference regular inspection strategy.

[0038] A specific method for fusing the k sub-reference scheduled inspection strategies to obtain the reference scheduled inspection strategy may be to perform splicing processing according to priority, thereby obtaining the reference scheduled inspection strategy.

[0039] In this example, a scheduled inspection strategy is formulated for each device to be inspected according to its components, which improves the accuracy of determining the scheduled inspection strategy.

[0040] 103. Determine scheduled inspection strategy correction information based on the historical scheduled inspection information.

[0041] Specifically, a method for determining scheduled inspection strategy correction information based on the historical scheduled inspection information includes: C1. Extract k historical scheduled inspection information sets of the devices to be inspected from the historical scheduled inspection information to obtain k reference historical scheduled inspection information sets; C2. Determine k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets; C3. Perform fusion processing on the k sub-scheduled inspection strategy correction information to obtain the scheduled inspection strategy correction information.

[0042] The historical scheduled inspection information set of the device to be inspected may be determined from the historical scheduled inspection information according to the identification information of the device to be inspected, so as to obtain the reference historical scheduled inspection information set.

[0043] A method for determining k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets includes: D1. Extract information fluctuations from first reference historical scheduled inspection information in a first reference historical scheduled inspection information set to obtain a scheduled inspection information fluctuation parameter, where the first reference historical scheduled inspection information set is any one of k reference historical scheduled inspection information sets; D2. Perform scheduled inspection strategy merging on the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain first target historical scheduled inspection information; D3. Determine sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and scheduled inspection information fluctuation parameters; D4. Repeat the above steps of extracting information fluctuations from the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain the scheduled inspection information fluctuation parameters, and determining the sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and the scheduled inspection information fluctuation parameters, until k sub-scheduled inspection strategy correction information are obtained.

[0044] The method for extracting fluctuations may be: taking any first reference historical regular inspection information in the first reference historical regular inspection information set as reference regular inspection information, and determining the difference information between the remaining first reference historical regular inspection information and the reference regular inspection information as fluctuation information.

[0045] During the merging process, a general strategic merging method may be used to perform the merging process to obtain the first target historical scheduled inspection information. For example, a mean merging method may be used to extract the scheduled inspection information with the highest number of occurrences in the first reference historical scheduled inspection information set, and determine this scheduled inspection information as the merged first target historical scheduled inspection information.

[0046] The first target's historical scheduled inspection information can be adjusted based on the scheduled inspection information fluctuation parameter to obtain the second target's historical scheduled inspection information. Specifically, the scheduled inspection information fluctuation parameter and the corresponding parameter in the first target's historical scheduled inspection information are averaged, and the average replaces the corresponding parameter in the first target's historical scheduled inspection information to obtain the second target's historical scheduled inspection information. The second target's historical scheduled inspection information is then input into a preset scheduled inspection strategy correction information model for prediction to obtain the scheduled inspection strategy correction information. The preset scheduled inspection strategy correction information model is a pre-trained model used to generate the scheduled inspection strategy correction information, which can specifically be a CNN network, etc.

[0047] 104. Use the scheduled inspection strategy correction information to calibrate the reference scheduled inspection strategy to obtain a target scheduled inspection strategy.

[0048] The scheduled inspection strategy correction information can be fused with the reference scheduled inspection strategy to obtain the target scheduled inspection strategy. The specific fusion method can be to generate the second target historical scheduled inspection information through the first target historical scheduled inspection information, which will not be repeated here.

[0049] 105. Send the target scheduled inspection strategy to a terminal device of a target user to instruct the target user to perform scheduled inspection on the equipment to be inspected in the wind power system using the target scheduled inspection strategy.

[0050] The target user may be a user who executes the scheduled inspection policy, for example, a scheduled inspector.

[0051] In this example, the current equipment operation information and historical inspection information of the monitored wind power system are obtained, a reference inspection strategy is determined based on the current equipment operation information, and inspection strategy correction information is determined based on the historical inspection information. The reference inspection strategy is corrected using the inspection strategy correction information to obtain a target inspection strategy, which is then sent to the terminal device of the target user to instruct the target user to use the target inspection strategy to perform inspection on the equipment to be inspected in the wind power system. Therefore, a more suitable inspection strategy can be formulated in combination with the current equipment operation information and historical inspection information of the wind power system, and sent to the inspector for inspection, thereby improving the efficiency of inspection.

[0052] For the same example as above, please refer to Figure 2 , Figure 2 A schematic diagram of the structure of a terminal provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the system comprises a processor, an input device, an output device and a memory, which are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions, and the program includes instructions for executing the following steps; Obtain the current equipment operation information and historical inspection information of the monitored wind power system; Determining a reference scheduled inspection strategy based on the current equipment operation information; Determining scheduled inspection strategy correction information based on the historical scheduled inspection information; Correcting the reference inspection strategy using the inspection strategy correction information to obtain a target inspection strategy; The target scheduled inspection strategy is sent to a terminal device of a target user to instruct the target user to use the target scheduled inspection strategy to perform scheduled inspection processing on the equipment to be inspected in the wind power system.

[0053] The above mainly introduces the scheme of the embodiment of the present application from the perspective of the execution process on the method side. It is understandable that, in order to implement the above functions, the terminal includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of the various examples described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in a hardware or computer software driven hardware manner depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0054] The embodiment of the present application can divide the terminal into functional units according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical functional division. In actual implementation, there may be other division methods.

[0055] In line with the above, please see Figure 3 , Figure 3 The present invention provides a schematic diagram of the structure of an intelligent fixed inspection device for a wind power system. Figure 3 As shown, the device includes: An acquisition unit 301 is configured to acquire current equipment operation information and historical scheduled inspection information of a monitored wind power system; A first determining unit 302 is configured to determine a reference scheduled inspection strategy based on the current device operation information; A second determining unit 303 is configured to determine scheduled inspection strategy correction information based on the historical scheduled inspection information; A correction unit 304 is configured to correct the reference inspection strategy using the inspection strategy correction information to obtain a target inspection strategy; The sending unit 305 is configured to send the target scheduled inspection strategy to a terminal device of a target user, so as to instruct the target user to perform scheduled inspection on the equipment to be inspected in the wind power system using the target scheduled inspection strategy.

[0056] In a possible implementation, the first determining unit 302 is specifically configured to: Perform parameter verification and screening on the current equipment operation information to obtain sub-equipment operation information of k equipment to be inspected; Determine k sub-reference scheduled inspection strategies based on the sub-equipment operation information of k devices to be inspected; The k sub-reference scheduled inspection strategies are fused to obtain the reference scheduled inspection strategy.

[0057] In one possible implementation, in determining the k sub-reference scheduled inspection strategies based on the sub-device operation information of the k devices to be inspected, the first determining unit 302 is specifically configured to: Extracting the equipment operation information that meets the priority inspection requirement from the first sub-equipment operation information to obtain the reference equipment operation information, where the first sub-equipment operation information is any one of the sub-equipment operation information of the k equipment to be inspected; Evaluate the inspection priority of the reference equipment operation information to obtain the inspection priority of n components; Extracting the operation information of each of the n components from the reference device operation information to obtain n sub-reference device operation information; Obtain the deviations between the operating information of n sub-reference devices and the corresponding preset standard device operating information respectively, and obtain n target deviations; Determine the inspection strategy for the corresponding component according to the n target deviations, and obtain n first sub-inspection strategies; According to the inspection priorities of n components, the n first sub-inspection strategies are integrated to obtain a sub-reference inspection strategy; Repeat the above method of extracting the equipment operation information that meets the priority inspection from the first sub-equipment operation information to obtain the reference equipment operation information, and then fuse the n first sub-inspection strategies according to the inspection priorities of n components to obtain the sub-reference inspection strategy, until k sub-reference inspection strategies are obtained.

[0058] In a possible implementation, the second determining unit 303 is specifically configured to: Extracting k historical scheduled inspection information sets of devices to be inspected from the historical scheduled inspection information to obtain k reference historical scheduled inspection information sets; Determine k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets; The k sub-scheduled inspection strategy correction information is fused to obtain the scheduled inspection strategy correction information.

[0059] In one possible implementation, in determining the k sub-scheduled inspection strategy correction information according to the k reference historical scheduled inspection information sets, the second determining unit 303 is specifically configured to: performing information fluctuation extraction on first reference historical scheduled inspection information in a first reference historical scheduled inspection information set to obtain a scheduled inspection information fluctuation parameter, wherein the first reference historical scheduled inspection information set is any one of k reference historical scheduled inspection information sets; Performing scheduled inspection strategy merging on the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain first target historical scheduled inspection information; Determining sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and scheduled inspection information fluctuation parameters; Repeat the above steps from extracting information fluctuations from the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain the scheduled inspection information fluctuation parameters, to determining the sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and the scheduled inspection information fluctuation parameters, until k sub-scheduled inspection strategy correction information are obtained.

[0060] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the intelligent inspection methods for wind power systems described in the above method embodiments.

[0061] An embodiment of the present application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute some or all steps of any one of the intelligent inspection methods for wind power systems described in the above method embodiments.

[0062] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0063] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0064] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. 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 through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0065] 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.

[0066] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, or 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 program modules.

[0067] If the integrated unit is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, magnetic disk, or optical disk, etc., various media that can store program code.

[0068] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which may include: a flash drive, a read-only memory, a random access memory, a magnetic disk or an optical disk, etc.

[0069] The above is a detailed introduction to the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for those skilled in the art, according to the idea of ​​the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. An intelligent regular inspection method for a wind power system, characterized in that: The method comprises: Obtain the current equipment operation information and historical inspection information of the monitored wind power system; Determining a reference scheduled inspection strategy based on the current equipment operation information; Determining scheduled inspection strategy correction information based on the historical scheduled inspection information; Correcting the reference inspection strategy using the inspection strategy correction information to obtain a target inspection strategy; The target scheduled inspection strategy is sent to a terminal device of a target user to instruct the target user to use the target scheduled inspection strategy to perform scheduled inspection processing on the equipment to be inspected in the wind power system.

2. The intelligent regular inspection method for a wind power system according to claim 1, characterized in that: The determining of a reference scheduled inspection strategy according to the current equipment operation information includes: Perform parameter verification and screening on the current equipment operation information to obtain sub-equipment operation information of k equipment to be inspected; Determine k sub-reference scheduled inspection strategies based on the sub-equipment operation information of k devices to be inspected; The k sub-reference scheduled inspection strategies are fused to obtain the reference scheduled inspection strategy.

3. The intelligent regular inspection method for a wind power system according to claim 2, characterized in that: The step of determining k sub-reference scheduled inspection strategies based on the sub-device operation information of the k devices to be inspected includes: Extracting the equipment operation information that meets the priority inspection requirement from the first sub-equipment operation information to obtain the reference equipment operation information, where the first sub-equipment operation information is any one of the sub-equipment operation information of the k equipment to be inspected; Evaluate the inspection priority of the reference equipment operation information to obtain the inspection priority of n components; Extracting the operation information of each of the n components from the reference device operation information to obtain n sub-reference device operation information; Obtain the deviations between the operating information of n sub-reference devices and the corresponding preset standard device operating information respectively, and obtain n target deviations; Determine the inspection strategy for the corresponding component according to the n target deviations, and obtain n first sub-inspection strategies; According to the inspection priorities of n components, the n first sub-inspection strategies are integrated to obtain a sub-reference inspection strategy; Repeat the above method of extracting the equipment operation information that meets the priority inspection from the first sub-equipment operation information to obtain the reference equipment operation information, and then fuse the n first sub-inspection strategies according to the inspection priorities of n components to obtain the sub-reference inspection strategy, until k sub-reference inspection strategies are obtained.

4. The intelligent regular inspection method for a wind power system according to any one of claims 2 or 3, characterized in that: The determining of the scheduled inspection strategy correction information according to the historical scheduled inspection information includes: Extracting k historical scheduled inspection information sets of devices to be inspected from the historical scheduled inspection information to obtain k reference historical scheduled inspection information sets; Determine k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets; The k sub-scheduled inspection strategy correction information is fused to obtain the scheduled inspection strategy correction information.

5. The intelligent regular inspection method for a wind power system according to claim 4, characterized in that: The step of determining k sub-scheduled inspection strategy correction information based on k reference historical scheduled inspection information sets includes: performing information fluctuation extraction on first reference historical scheduled inspection information in a first reference historical scheduled inspection information set to obtain a scheduled inspection information fluctuation parameter, wherein the first reference historical scheduled inspection information set is any one of k reference historical scheduled inspection information sets; Performing scheduled inspection strategy merging on the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain first target historical scheduled inspection information; Determining sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and scheduled inspection information fluctuation parameters; Repeat the above steps from extracting information fluctuations from the first reference historical scheduled inspection information in the first reference historical scheduled inspection information set to obtain the scheduled inspection information fluctuation parameters, to determining the sub-scheduled inspection strategy correction information based on the first target historical scheduled inspection information and the scheduled inspection information fluctuation parameters, until k sub-scheduled inspection strategy correction information are obtained.

6. An intelligent regular inspection device for a wind power system, characterized in that: The device comprises: An acquisition unit, used to obtain current equipment operation information and historical scheduled inspection information of the monitored wind power system; A first determining unit, configured to determine a reference scheduled inspection strategy based on the current equipment operation information; A second determining unit, configured to determine scheduled inspection strategy correction information based on the historical scheduled inspection information; a correction unit, configured to correct the reference scheduled inspection strategy using the scheduled inspection strategy correction information to obtain a target scheduled inspection strategy; The sending unit is configured to send the target scheduled inspection strategy to a terminal device of a target user, so as to instruct the target user to perform scheduled inspection on the equipment to be inspected in the wind power system using the target scheduled inspection strategy.

7. The intelligent regular inspection device for wind power system according to claim 6, characterized in that: The first determining unit is specifically configured to: Perform parameter verification and screening on the current equipment operation information to obtain sub-equipment operation information of k equipment to be inspected; Determine k sub-reference scheduled inspection strategies based on the sub-equipment operation information of k devices to be inspected; The k sub-reference scheduled inspection strategies are fused to obtain the reference scheduled inspection strategy.

8. The intelligent regular inspection device for wind power system according to claim 7, characterized in that: In determining the k sub-reference scheduled inspection strategies based on the sub-device operation information of the k devices to be inspected, the first determining unit is specifically configured to: Extracting the equipment operation information that meets the priority inspection requirement from the first sub-equipment operation information to obtain the reference equipment operation information, where the first sub-equipment operation information is any one of the sub-equipment operation information of the k equipment to be inspected; Evaluate the inspection priority of the reference equipment operation information to obtain the inspection priority of n components; Extracting the operation information of each of the n components from the reference device operation information to obtain n sub-reference device operation information; Obtain the deviations between the operating information of n sub-reference devices and the corresponding preset standard device operating information respectively, and obtain n target deviations; Determine the inspection strategy for the corresponding component according to the n target deviations, and obtain n first sub-inspection strategies; According to the inspection priorities of n components, the n first sub-inspection strategies are integrated to obtain a sub-reference inspection strategy; Repeat the above method of extracting the equipment operation information that meets the priority inspection from the first sub-equipment operation information to obtain the reference equipment operation information, and then fuse the n first sub-inspection strategies according to the inspection priorities of n components to obtain the sub-reference inspection strategy, until k sub-reference inspection strategies are obtained.

9. A terminal, characterized in that: The method comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the intelligent inspection method for a wind power system according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by a processor, the processor executes the intelligent inspection method for a wind power system according to any one of claims 1 to 5.

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