A wind turbine blade machining control method, system, equipment and medium
By obtaining the sample information of wind turbine blades and processing equipment status information, real-time parameter control is carried out, the problem of waste of resources and unstable control in the manufacturing of wind turbine blades is solved, and the performance and reliability of the blades are improved.
Patent Information
- Application Number
- CN202411956242.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-28
- Publication Date
- 2025-04-04
AI Technical Summary
The existing wind turbine blade manufacturing technology has problems such as serious waste of resources and unstable temperature and pressure control, which affects the performance and reliability of the blade.
By obtaining the sample information of the wind turbine blades, obtaining the processing process information and target processing parameter data, obtaining the processing equipment status information in real time, comparing the equipment work data with the target processing parameter data, obtaining parameter compensation data, and regulating the equipment work data until it is the same as the target processing parameters.
It improves the processing quality and efficiency of the blades of the wind turbine set, enhances the performance and reliability of the blades, and reduces resource waste.
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Figure CN119758842A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of wind power generation equipment manufacturing, and in particular to a wind turbine blade machining control method, system, equipment and medium. Background Art
[0002] As the global demand for clean energy grows, wind power generation, as one of the important green energy sources, has developed rapidly. In the wind power industry, the production efficiency and cost control of wind turbines have become key factors in determining the competitiveness of enterprises. Traditionally, the manufacturing of wind turbine blades relies on manual operations. Although this method can meet basic needs, it is not enough when faced with large-scale production and high quality requirements. In recent years, in order to improve production efficiency and product quality, many companies have begun to gradually introduce automated equipment and technologies to promote the development of wind turbine blade manufacturing in a more efficient and precise direction.
[0003] At present, common solutions to the problems in wind turbine blade manufacturing include but are not limited to the following aspects: First, some processes use semi-automated production equipment, such as using simple robotic arms to assist workers in laying materials during the composite material laying stage; second, by adding sensors and control systems to optimize certain key processes, such as the initial control of temperature and pressure during the curing process; third, adopting an assembly line operation mode to connect multiple processes in series to reduce manual intervention, but there are still certain limitations. Although these methods have improved production efficiency and quality to a certain extent, they still cannot completely solve the problem due to the lack of overall coordination and intelligent management.
[0004] However, the existing technical means still have obvious defects, especially the lack of intelligent scheduling capabilities and refined management of semi-automatic production lines, resulting in serious waste of resources. In particular, during the molding and curing process of blade composite materials, the temperature and pressure control are unstable, which seriously affects the overall performance and reliability of the blade. Therefore, there is room for improvement. Summary of the invention
[0005] In order to improve the performance and reliability of wind turbine blades and improve manufacturing quality and efficiency, the present application provides a wind turbine blade processing control method, system, equipment and medium.
[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A wind turbine blade processing control method, the wind turbine blade processing control method comprising the steps of: Acquire wind turbine blade sample information, and acquire processing procedure information and target processing parameter data based on the wind turbine blade sample information; Acquire processing equipment status information based on the processing procedure information, and acquire equipment working data according to the processing equipment status information; Comparing the device working data with target processing parameter data to obtain parameter compensation data, and adjusting the device working data based on the parameter compensation data until the data is the same as the target processing parameter; The processing status of the wind turbine blade is acquired in real time, and the processing quality result is acquired based on the processing status of the wind turbine blade.
[0007] By adopting the above technical solution, during the processing of wind turbine blades, wind turbine blade sample information can be obtained by inputting wind turbine blade processing order information into the automated processing system, and processing procedure information and target processing parameter data of the wind turbine blade to be processed can be obtained through the wind turbine blade sample information. The processing procedure information refers to the processing procedure of the wind turbine blade, such as composite material laying, curing and other procedures. The target processing parameter data refers to the optimal processing parameters for the wind turbine blade in the procedure. The status information of the corresponding processing equipment is obtained based on the processing procedure information, and the working data of the equipment is obtained using the processing equipment status information. The equipment working data refers to the parameter data currently set for the processing equipment. , compare the equipment working data with the target processing parameter data to analyze whether the current processing equipment meets the optimal processing parameters, obtain parameter compensation data based on the comparison result of the two, and adjust the equipment working data based on the first parameter compensation data so that the processing equipment is set to the optimal processing parameters, thereby improving the processing quality and efficiency of the wind turbine blades, and use the regulated equipment working data to process the wind turbine blades, and obtain the processing status of the wind turbine blades in real time. The processing status refers to the processing situation of the wind turbine blades. According to the processing status of the wind turbine blades, the corresponding processing quality results are obtained, and the processing quality of the wind turbine blades is monitored in real time, thereby improving the performance and reliability of the wind turbine blades.
[0008] In a preferred example, the present application may be further configured as follows: the step of obtaining wind turbine blade sample information and obtaining processing procedure information and target processing parameter data based on the wind turbine blade sample information specifically includes: Obtaining wind turbine blade sample information, and obtaining to-be-processed blade type information based on the wind turbine blade sample information; The processing procedure information is determined according to the type information of the blade to be processed, and the type information of the blade to be processed is input into a preset parameter database to obtain target processing parameter data.
[0009] By adopting the above technical scheme, before processing the wind turbine blades, the wind turbine blade sample information is used to obtain the type information of the blade to be processed, and then the type of blade to be processed can be determined. The processing procedure information is determined based on the type information of the blade to be processed, and the appropriate processing procedure can be selected for different blade types to improve the processing quality of the blades. The type information of the blade to be processed is input into a preset parameter database, and a mapping table of blade type information and processing parameters is set in the parameter database. The target processing parameter data is determined based on the type information of the blade to be processed, and the appropriate processing parameters are automatically adapted, which can improve the processing accuracy of the blades.
[0010] In a preferred example, the present application may be further configured as follows: the obtaining of processing equipment status information based on the processing procedure information, and the obtaining of equipment working data according to the processing equipment status information specifically include: Determine a processing device based on the processing procedure information, and obtain processing device status information according to the processing device; The equipment working data is acquired according to the processing equipment status information.
[0011] By adopting the above technical solution, after determining the processing procedure, the suitable processing equipment is determined according to the processing procedure information, and the processing equipment status information is collected in each work section by deploying RFID tags and industrial Internet gateways, so that the wind turbine blades to be processed can be allocated to the processing equipment suitable for the current process, and the processing equipment with the best status can be quickly and preferentially selected to improve the processing quality. The current equipment working data is obtained by using the collected processing equipment status information, and the current processing equipment working data can be analyzed in advance before processing the wind turbine blades to prevent the processing data from not meeting the target processing parameters, thereby improving the processing efficiency.
[0012] In a preferred example, the present application may be further configured as follows: the real-time acquisition of the processing status of the wind turbine blades and the acquisition of the processing quality results based on the processing status of the wind turbine blades specifically include: Acquire the processing status of the wind turbine motor group blades in real time, compare the processing status of the wind turbine motor group blades with the preset blade target status, and acquire blade status difference information; Blade processing defect data is acquired according to the blade state difference information, and a processing quality result is determined based on the blade processing defect data.
[0013] By adopting the above technical scheme, during the processing of the wind turbine generator blades, the processing status of the wind turbine generator blades is obtained in real time by using sensors or image capture devices on the automated processing system, such as cameras. The processing status of the wind turbine generator blades refers to the current processing conditions, such as the compounding and curing conditions of the blades. The obtained processing status is compared with the preset blade target state to obtain blade status difference information. By analyzing the blade status difference information, blade processing defect data is obtained. The blade processing defect data is used to determine the processing defect conditions of the wind turbine generator blades, and then the processing quality is determined according to the processing defect conditions, thereby realizing the real-time monitoring and analysis function of the processing quality of wind turbine blades.
[0014] In a preferred example, the present application may be further configured as follows: after obtaining the processing status of the wind turbine blade in real time and obtaining the processing quality result based on the processing status of the wind turbine blade, the wind turbine blade processing control method further includes: Acquire a processing defect feature based on the processing quality result, and generate a second parameter adjustment instruction according to the processing defect feature; In response to the second parameter adjustment instruction, reprocessing parameter data is acquired, and secondary processing is performed on the wind turbine motor blade based on the reprocessing parameter data.
[0015] By adopting the above technical scheme, after analyzing the processing quality results of the wind turbine motor group blades, the processing defect characteristics are obtained according to the processing quality results, the processing defect characteristics are analyzed, the specific defects are analyzed, and a second parameter adjustment instruction is generated according to the processing defect characteristics. In response to the second parameter adjustment instruction, reprocessing parameter data is obtained, and the wind turbine motor group blades are reprocessed according to the reprocessing parameter data.
[0016] In a preferred example, the present application may be further configured as follows: comparing the device operating data with the target processing parameter data to obtain parameter compensation data, and regulating the device operating data based on the parameter compensation data, specifically including: Inputting the parameter compensation data into a preset parameter correction model to obtain a parameter correction factor; The equipment working data is regulated based on the parameter correction factor until it is the same as the target processing parameter data.
[0017] By adopting the above technical solution, the parameter compensation data is input into the parameter correction model to determine the parameter adjustment factor of the blade processing equipment. The equipment working data is regulated and modified according to the parameter adjustment factor to obtain the corrected adjustment parameter, thereby realizing parameter regulation according to the processing equipment during the blade processing process, so as to make the blade processing accuracy higher.
[0018] The second object of the invention is achieved by the following technical solutions: A wind turbine blade processing control system, the wind turbine blade processing control system comprising: A processing data acquisition module, used to acquire wind turbine blade sample information, and acquire processing procedure information and target processing parameter data based on the wind turbine blade sample information; A processing equipment analysis module, used to obtain processing equipment status information based on the processing procedure information, and obtain equipment working data according to the processing equipment status information; A processing parameter adjustment module, used for comparing the equipment working data with target processing parameter data to obtain parameter compensation data, and adjusting the equipment working data based on the parameter compensation data until the data is the same as the target processing parameter; The processing quality analysis module is used to obtain the processing status of the wind turbine blade in real time, and obtain the processing quality result based on the processing status of the wind turbine blade.
[0019] By adopting the above technical solution, during the processing of wind turbine blades, wind turbine blade sample information can be obtained by inputting wind turbine blade processing order information into the automated processing system, and processing procedure information and target processing parameter data of the wind turbine blade to be processed can be obtained through the wind turbine blade sample information. The processing procedure information refers to the processing procedure of the wind turbine blade, such as composite material laying, curing and other procedures. The target processing parameter data refers to the optimal processing parameters for the wind turbine blade in the procedure. The status information of the corresponding processing equipment is obtained based on the processing procedure information, and the working data of the equipment is obtained using the processing equipment status information. The equipment working data refers to the parameter data currently set for the processing equipment. , compare the equipment working data with the target processing parameter data to analyze whether the current processing equipment meets the optimal processing parameters, obtain parameter compensation data based on the comparison result of the two, and adjust the equipment working data based on the first parameter compensation data so that the processing equipment is set to the optimal processing parameters, thereby improving the processing quality and efficiency of the wind turbine blades, and use the regulated equipment working data to process the wind turbine blades, and obtain the processing status of the wind turbine blades in real time. The processing status refers to the processing situation of the wind turbine blades. According to the processing status of the wind turbine blades, the corresponding processing quality results are obtained, and the processing quality of the wind turbine blades is monitored in real time, thereby improving the performance and reliability of the wind turbine blades.
[0020] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for controlling blade machining of a wind turbine generator set are implemented.
[0021] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned wind turbine blade processing control method are implemented.
[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. In the process of processing wind turbine blades, the wind turbine blade processing order information input into the automated processing system can be used to obtain wind turbine blade sample information, and the processing procedure information and target processing parameter data of the wind turbine blade to be processed can be obtained through the wind turbine blade sample information. The processing procedure information refers to the processing procedure of the wind turbine blade, such as composite material laying, curing and other procedures. The target processing parameter data refers to the optimal processing parameters of the wind turbine blade in this procedure. The status information of the corresponding processing equipment is obtained according to the processing procedure information. The working data of the equipment is obtained by using the processing equipment status information. The equipment working data refers to the parameter data of the currently set processing equipment. The working data and the target processing parameter data are compared to analyze whether the current processing equipment meets the optimal processing parameters, and the parameter compensation data is obtained according to the comparison result of the two. The equipment working data is adjusted based on the first parameter compensation data, so that the processing equipment is set to the optimal processing parameters, thereby improving the processing quality and efficiency of the wind turbine blades, and the wind turbine blades are processed using the adjusted equipment working data to obtain the processing status of the wind turbine blades in real time. The processing status refers to the processing situation of the wind turbine blades. The corresponding processing quality results are obtained according to the processing status of the wind turbine blades, and the processing quality of the wind turbine blades is monitored in real time, thereby improving the performance and reliability of the wind turbine blades. 2. Before processing the wind turbine blades, the wind turbine blade sample information is used to obtain the type information of the blades to be processed, and then the type of the blades to be processed can be determined. The processing procedure information can be determined according to the type information of the blades to be processed, and the appropriate processing procedure can be selected for different blade types to improve the processing quality of the blades. The type information of the blades to be processed is input into a preset parameter database, and a mapping table of blade type information and processing parameters is set in the parameter database. The target processing parameter data is determined according to the type information of the blades to be processed, and the appropriate processing parameters are automatically adapted to improve the processing accuracy of the blades; 3. After determining the processing procedure, determine the appropriate processing equipment according to the processing procedure information. By deploying RFID tags and industrial Internet gateways, collect the processing equipment status information in each work section, and then allocate the wind turbine blades to be processed to the processing equipment suitable for the current process, and quickly give priority to the processing equipment with the best status to improve the processing quality. Use the collected processing equipment status information to obtain the current equipment working data, and then analyze the current processing equipment working data in advance before processing the wind turbine blades to prevent the processing data from not meeting the target processing parameters, thereby improving processing efficiency; 4. During the processing of wind turbine motor blades, sensors or image capture devices on the automated processing system, such as cameras, are used to obtain the processing status of the wind turbine motor blades in real time. The processing status of the wind turbine motor blades refers to the current processing conditions, such as the compounding and curing conditions of the blades. The obtained processing status is compared with the preset blade target state to obtain blade status difference information. The blade status difference information is analyzed to obtain blade processing defect data. The blade processing defect data is used to determine the processing defect conditions of the wind turbine motor blades, and then the processing quality is determined based on the processing defect conditions, thereby realizing the real-time monitoring and analysis function of the processing quality of wind turbine blades. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 This is a flow chart of a wind turbine blade processing control method in one embodiment of the present application; Figure 2 This is a flowchart for implementing step S10 in a method for controlling wind turbine blade processing in one embodiment of the present application; Figure 3 It is a flowchart for implementing step S20 in a method for controlling wind turbine blade processing in one embodiment of the present application; Figure 4 It is a flowchart for implementing step S30 in a method for controlling wind turbine blade processing in one embodiment of the present application; Figure 5 It is a flowchart for implementing step S40 in a method for controlling blade processing of a wind turbine generator system in one embodiment of the present application; Figure 6 This is another implementation flow chart of a wind turbine blade processing control method in one embodiment of the present application; Figure 7 This is a principle block diagram of a wind turbine blade processing control system in one embodiment of the present application; Figure 8 It is a schematic diagram of a computer device in one embodiment of the present application. DETAILED DESCRIPTION
[0024] The present application is further described in detail below in conjunction with the accompanying drawings.
[0025] In one embodiment, if Figure 1 As shown, the present application discloses a wind turbine blade processing control method, which specifically includes the following steps: S10: Obtaining wind turbine blade sample information, and obtaining processing procedure information and target processing parameter data based on the wind turbine blade sample information.
[0026] Specifically, during the processing of wind turbine blades, wind turbine blade sample information can be obtained by inputting wind turbine blade processing order information into the automated processing system, and the processing procedure information and target processing parameter data of the wind turbine blades to be processed can be obtained through the wind turbine blade sample information. The processing procedure information refers to the processing procedure of the wind turbine blades, such as composite material laying, curing and other processes, and the target processing parameter data refers to the optimal processing parameters for the wind turbine blades in this process.
[0027] S20: Acquire processing equipment status information based on the processing procedure information, and acquire equipment working data according to the processing equipment status information.
[0028] Specifically, the status information of the corresponding processing equipment is obtained according to the processing procedure information, and the working data of the equipment is obtained using the processing equipment status information. The equipment working data refers to the parameter data of the current settings of the processing equipment.
[0029] S30: Compare the equipment working data with the target processing parameter data to obtain parameter compensation data, and adjust the equipment working data based on the parameter compensation data until the data is the same as the target processing parameter.
[0030] Specifically, the equipment working data and the target processing parameter data are compared to analyze whether the current processing equipment meets the optimal processing parameters. Parameter compensation data is obtained based on the comparison results of the two. The equipment working data is adjusted based on the first parameter compensation data, so that the processing equipment is set to the optimal processing parameters, thereby improving the processing quality and efficiency of wind turbine blades.
[0031] S40: Acquire the processing status of the wind turbine blade in real time, and acquire the processing quality result based on the processing status of the wind turbine blade.
[0032] Specifically, the wind turbine blades are processed using the regulated equipment working data, and the processing status of the wind turbine blades is obtained in real time. The processing status refers to the processing conditions of the wind turbine blades. The corresponding processing quality results are obtained according to the processing status of the wind turbine blades, so that the processing quality of the wind turbine blades can be monitored in real time, thereby improving the performance and reliability of the wind turbine blades.
[0033] In this embodiment, during the processing of wind turbine blades, wind turbine blade sample information can be obtained by inputting wind turbine blade processing order information into the automated processing system, and processing procedure information and target processing parameter data of the wind turbine blades to be processed can be obtained through the wind turbine blade sample information. The processing procedure information refers to the processing procedure of the wind turbine blades, such as composite material laying, curing and other procedures. The target processing parameter data refers to the optimal processing parameters for the wind turbine blades in the procedure. The status information of the corresponding processing equipment is obtained based on the processing procedure information. The working data of the equipment is obtained using the processing equipment status information. The equipment working data refers to the parameter data of the currently set processing equipment. The equipment working data is compared with the target processing parameter data to analyze whether the current processing equipment meets the optimal processing parameters. Parameter compensation data is obtained based on the comparison result of the two. The equipment working data is adjusted based on the first parameter compensation data, so that the processing equipment is set to the optimal processing parameters, thereby improving the processing quality and efficiency of the wind turbine blades. The wind turbine blades are processed using the regulated equipment working data, and the processing status of the wind turbine blades is obtained in real time. The processing status refers to the processing situation of the wind turbine blades. The corresponding processing quality results are obtained according to the processing status of the wind turbine blades, so that the processing quality of the wind turbine blades can be monitored in real time, thereby improving the performance and reliability of the wind turbine blades.
[0034] In one embodiment, if Figure 2 As shown, in step S10, the wind turbine blade sample information is obtained, and the processing procedure information and target processing parameter data are obtained based on the wind turbine blade sample information, which specifically includes: S11: Obtaining wind turbine blade sample information, and obtaining to-be-processed blade type information based on the wind turbine blade sample information.
[0035] S12: Determine processing procedure information according to the type information of the blade to be processed, input the type information of the blade to be processed into a preset parameter database, and obtain target processing parameter data.
[0036] Specifically, before processing the wind turbine blades, the wind turbine blade sample information is used to obtain the type information of the blades to be processed, and then the type of blades to be processed can be determined. The processing procedure information is determined based on the type information of the blades to be processed, and the appropriate processing procedure can be selected for different blade types to improve the processing quality of the blades. The type information of the blades to be processed is input into a preset parameter database, and a mapping table of blade type information and processing parameters is provided in the parameter database. The target processing parameter data is determined based on the type information of the blades to be processed, and the appropriate processing parameters are automatically adapted to improve the processing accuracy of the blades.
[0037] In one embodiment, if Figure 3 As shown, in step S20, the processing equipment status information is obtained based on the processing procedure information, and the equipment working data is obtained according to the processing equipment status information, which specifically includes: S21: Determine a processing device based on the processing procedure information, and obtain processing device status information according to the processing device.
[0038] S22: Acquire equipment working data according to the processing equipment status information.
[0039] Specifically, after determining the processing procedure, the appropriate processing equipment is determined according to the processing procedure information. By deploying RFID tags and industrial Internet gateways, the processing equipment status information is collected in each work section, so that the wind turbine blades to be processed can be allocated to the processing equipment suitable for the current process, and the processing equipment with the best status can be quickly prioritized to improve the processing quality. The collected processing equipment status information is used to obtain the current equipment working data, so that before processing the wind turbine blades, the current processing equipment working data can be analyzed in advance to prevent the processing data from not meeting the target processing parameters, thereby improving processing efficiency.
[0040] In one embodiment, if Figure 4 As shown, in step S30, the device working data and the target processing parameter data are compared to obtain parameter compensation data, and the device working data is regulated based on the parameter compensation data, specifically including: S31: Inputting the parameter compensation data into a preset parameter correction model to obtain a parameter correction factor.
[0041] S32: Adjusting the equipment working data based on the parameter correction factor until it is the same as the target processing parameter data.
[0042] Specifically, the parameter compensation data is input into the parameter correction model to determine the parameter adjustment factor of the blade processing equipment. The equipment working data is regulated and modified according to the parameter adjustment factor to obtain the corrected adjustment parameter, thereby realizing parameter regulation according to the processing equipment during the blade processing, so as to make the blade processing accuracy higher.
[0043] In one embodiment, if Figure 5 As shown, in step S40, the processing status of the wind turbine blade is obtained in real time, and the processing quality result is obtained based on the processing status of the wind turbine blade, which specifically includes: S41: acquiring the processing status of the blades of the wind turbine motor group in real time, comparing the processing status of the blades of the wind turbine motor group with a preset blade target status, and acquiring blade status difference information.
[0044] S42: Obtain blade processing defect data according to the blade state difference information, and determine a processing quality result based on the blade processing defect data.
[0045] Specifically, during the processing of wind turbine motor blades, sensors or image capture devices on the automated processing system, such as cameras, are used to obtain the processing status of the wind turbine motor blades in real time. The processing status of the wind turbine motor blades refers to the current processing conditions, such as the compounding and curing conditions of the blades. The obtained processing status is compared with the preset blade target state to obtain blade status difference information. By analyzing the blade status difference information, blade processing defect data is obtained. The blade processing defect data is used to determine the processing defect conditions of the wind turbine motor blades, and then the processing quality is determined based on the processing defect conditions, thereby realizing the real-time monitoring and analysis function of the processing quality of wind turbine blades.
[0046] In one embodiment, if Figure 6 As shown, after step S40, that is, after the processing status of the wind turbine blade is acquired in real time and the processing quality result is acquired based on the processing status of the wind turbine blade, the wind turbine blade processing control method further includes: S50: Acquire a processing defect feature based on the processing quality result, and generate a second parameter adjustment instruction according to the processing defect feature.
[0047] S60: Responding to the second parameter adjustment instruction, acquiring reprocessing parameter data, and performing secondary processing on the wind turbine motor blade based on the reprocessing parameter data.
[0048] Specifically, after analyzing the processing quality results of the wind turbine motor group blades, the processing defect characteristics are obtained according to the processing quality results, the processing defect characteristics are analyzed to analyze the specific defects, and a second parameter adjustment instruction is generated according to the processing defect characteristics. In response to the second parameter adjustment instruction, reprocessing parameter data is obtained, and the wind turbine motor group blades are re-processed according to the reprocessing parameter data.
[0049] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0050] In one embodiment, a wind turbine blade processing control system is provided, and the wind turbine blade processing control system corresponds one-to-one to the wind turbine blade processing control method in the above embodiment. Figure 7 As shown, the wind turbine blade processing control system includes a processing data acquisition module, a processing equipment analysis module, a processing parameter adjustment module and a processing quality analysis module. The detailed description of each functional module is as follows: A processing data acquisition module, used to acquire wind turbine blade sample information, and acquire processing procedure information and target processing parameter data based on the wind turbine blade sample information; A processing equipment analysis module, used to obtain processing equipment status information based on the processing procedure information, and obtain equipment working data according to the processing equipment status information; A processing parameter adjustment module, used for comparing the equipment working data with target processing parameter data to obtain parameter compensation data, and adjusting the equipment working data based on the parameter compensation data until the data is the same as the target processing parameter; The processing quality analysis module is used to obtain the processing status of the wind turbine blade in real time, and obtain the processing quality result based on the processing status of the wind turbine blade.
[0051] Optionally, the processing data acquisition module includes: The blade type analysis submodule is used to obtain the wind turbine blade sample information, and obtain the type information of the blade to be processed based on the wind turbine blade sample information; The processing data determination submodule is used to determine the processing procedure information according to the type information of the blade to be processed, input the type information of the blade to be processed into a preset parameter database, and obtain target processing parameter data.
[0052] For the specific definition of the wind turbine blade processing control system, please refer to the definition of the wind turbine blade processing control method mentioned above, which will not be repeated here. Each module in the above-mentioned wind turbine blade processing control system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
[0053] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store highway construction data, a constructed target BIM model and a highway construction disease knowledge base. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for controlling the processing of wind turbine blades is implemented.
[0054] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Acquire wind turbine blade sample information, and acquire processing procedure information and target processing parameter data based on the wind turbine blade sample information; Acquire processing equipment status information based on the processing procedure information, and acquire equipment working data according to the processing equipment status information; Comparing the device working data with target processing parameter data to obtain parameter compensation data, and adjusting the device working data based on the parameter compensation data until the data is the same as the target processing parameter; The processing status of the wind turbine blade is acquired in real time, and the processing quality result is acquired based on the processing status of the wind turbine blade.
[0055] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Acquire wind turbine blade sample information, and acquire processing procedure information and target processing parameter data based on the wind turbine blade sample information; Acquire processing equipment status information based on the processing procedure information, and acquire equipment working data according to the processing equipment status information; Comparing the device working data with target processing parameter data to obtain parameter compensation data, and adjusting the device working data based on the parameter compensation data until the data is the same as the target processing parameter; The processing status of the wind turbine blade is acquired in real time, and the processing quality result is acquired based on the processing status of the wind turbine blade.
[0056] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
[0057] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0058] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such 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 application, and should all be included in the protection scope of the present application.
Claims
1. A wind turbine blade processing control method, characterized in that: The wind turbine blade processing control method comprises the following steps: Acquire wind turbine blade sample information, and acquire processing procedure information and target processing parameter data based on the wind turbine blade sample information; Acquire processing equipment status information based on the processing procedure information, and acquire equipment working data according to the processing equipment status information; Comparing the device working data with target processing parameter data to obtain parameter compensation data, and adjusting the device working data based on the parameter compensation data until the data is the same as the target processing parameter; The processing status of the wind turbine blade is acquired in real time, and the processing quality result is acquired based on the processing status of the wind turbine blade.
2. A wind turbine blade processing control method according to claim 1, characterized in that: The step of obtaining wind turbine blade sample information and obtaining processing procedure information and target processing parameter data based on the wind turbine blade sample information specifically includes: Acquire wind turbine blade sample information, and acquire to-be-processed blade type information based on the wind turbine blade sample information; The processing procedure information is determined according to the type information of the blade to be processed, and the type information of the blade to be processed is input into a preset parameter database to obtain target processing parameter data.
3. A wind turbine blade processing control method according to claim 1, characterized in that: The step of acquiring processing equipment status information based on the processing procedure information and acquiring equipment working data according to the processing equipment status information specifically includes: Determine a processing device based on the processing procedure information, and obtain processing device status information according to the processing device; The equipment working data is acquired according to the processing equipment status information.
4. A wind turbine blade processing control method according to claim 1, characterized in that: The real-time acquisition of the processing status of the wind turbine blade and the acquisition of the processing quality result based on the processing status of the wind turbine blade specifically include: Acquire the processing status of the wind turbine motor group blades in real time, compare the processing status of the wind turbine motor group blades with the preset blade target status, and acquire blade status difference information; Blade processing defect data is acquired according to the blade state difference information, and a processing quality result is determined based on the blade processing defect data.
5. A wind turbine blade processing control method according to claim 1, characterized in that: After obtaining the processing status of the wind turbine blade in real time and obtaining the processing quality result based on the processing status of the wind turbine blade, the wind turbine blade processing control method further includes: Acquire a processing defect feature based on the processing quality result, and generate a second parameter adjustment instruction according to the processing defect feature; In response to the second parameter adjustment instruction, reprocessing parameter data is acquired, and secondary processing is performed on the wind turbine motor blade based on the reprocessing parameter data.
6. A wind turbine blade processing control method according to claim 1, characterized in that: The comparing the equipment working data with the target processing parameter data to obtain parameter compensation data, and regulating the equipment working data based on the parameter compensation data specifically includes: Inputting the parameter compensation data into a preset parameter correction model to obtain a parameter correction factor; The equipment working data is regulated based on the parameter correction factor until it is the same as the target processing parameter data.
7. A wind turbine blade processing control system, characterized in that: The wind turbine blade processing control system comprises: A processing data acquisition module, used to acquire wind turbine blade sample information, and acquire processing procedure information and target processing parameter data based on the wind turbine blade sample information; A processing equipment analysis module, used to obtain processing equipment status information based on the processing procedure information, and obtain equipment working data according to the processing equipment status information; A processing parameter adjustment module, used for comparing the equipment working data with target processing parameter data to obtain parameter compensation data, and adjusting the equipment working data based on the parameter compensation data until the data is the same as the target processing parameter; The processing quality analysis module is used to obtain the processing status of the wind turbine blade in real time, and obtain the processing quality result based on the processing status of the wind turbine blade.
8. A wind turbine blade processing control system according to claim 7, characterized in that: The processing data acquisition module comprises: The blade type analysis submodule is used to obtain the wind turbine blade sample information, and obtain the type information of the blade to be processed based on the wind turbine blade sample information; The processing data determination submodule is used to determine the processing procedure information according to the type information of the blade to be processed, input the type information of the blade to be processed into a preset parameter database, and obtain target processing parameter data.
9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the wind turbine blade processing control method as claimed in any one of claims 1 to 6 are implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a wind turbine blade processing control method as claimed in any one of claims 1 to 6 are implemented.