Wind power plant equipment virtual disassembly and assembly training platform and use method

Abstract

The invention provides a wind power plant equipment virtual dismounting training platform and a use method, the wind power plant equipment virtual dismounting training platform comprises an application service module, the application service module is electrically connected with a perception interaction module and a model calculation module through a data wire, and the perception interaction module is electrically connected with a data processing module through a data wire. The data processing module is electrically connected with a model calculation module through a data wire; the model calculation module comprises a physical characteristic simulation unit, an environmental influence simulation unit and an evaluation analysis unit; the physical characteristic simulation unit is electrically connected with the data processing module and the evaluation and analysis unit through data wires; the environmental influence simulation unit is electrically connected with the data processing module and the evaluation analysis unit through data wires; the evaluation analysis unit is electrically connected with the perception interaction module and the data processing module through data wires; the platform improves the training efficiency of wind power plant maintenance personnel, reduces the training cost, eliminates the potential safety hazard in actual operation, and provides immersive operation experience for users.

Description

Technical Field

[0001] The invention belongs to the technical field of wind power generation, and in particular to a wind farm equipment virtual disassembly and assembly training platform and a use method thereof. Background Art

[0002] The maintenance and upkeep of wind farm equipment is a key link in ensuring the stable operation of wind power generation systems. The disassembly and assembly of wind farm equipment has the characteristics of complex high-altitude working environment, precise equipment structure, high difficulty in operation, and high safety risks, which requires high professional skills of maintenance personnel. Therefore, it is very necessary to provide maintenance personnel with sufficient equipment disassembly and assembly training before the actual maintenance work is carried out.

[0003] At present, wind farm equipment disassembly and assembly training mainly adopts the following methods: first, training is carried out on actual equipment. This method is costly and risky, and is limited by factors such as site and weather, resulting in low training efficiency; second, training is carried out using physical models. Due to the limited size of the model, the structural characteristics of the actual equipment cannot be fully restored, and the training effect is not ideal; third, the traditional virtual training system is used. Although it reduces training costs and safety risks, the lack of accurate simulation of physical properties leads to a large difference between the operating experience and the actual situation, making it difficult for maintenance personnel to master the real operating essentials through training.

[0004] The main technical problem with traditional virtual training systems is that they are unable to accurately simulate the physical properties of wind farm equipment during disassembly and assembly, especially in terms of material deformation, stress distribution, contact force feedback, etc. during the disassembly and assembly operations, which are quite different from the actual situation. This makes it easy for maintenance personnel to make operational errors in actual operations, increasing the safety risks of equipment maintenance. Summary of the invention

[0005] In order to solve the problem that in the process of simulating the disassembly and assembly of wind farm equipment in traditional virtual training systems, the simulation of physical characteristics is unrealistic, and the touch force feedback and other aspects are quite different from the actual situation, which leads to maintenance personnel easily making operational errors in actual operations, the present invention provides a wind farm equipment virtual disassembly and assembly training platform and a use method.

[0006] To achieve the above object, the present invention provides the following technical solutions: The present invention proposes a wind farm equipment virtual disassembly and assembly training platform, comprising an application service module, wherein the application service module is electrically connected to a perception interaction module and a model calculation module via a data conductor, wherein the perception interaction module is electrically connected to a data processing module via a data conductor, and wherein the data processing module is electrically connected to the model calculation module via a data conductor; The model calculation module includes a physical property simulation unit, an environmental impact simulation unit and an evaluation and analysis unit; the physical property simulation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor; the environmental impact simulation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor; the evaluation and analysis unit is electrically connected to the application service module through a data conductor; Among them, the application service module is used to build various wind farm equipment simulation projects, user authority management and data backup; the perception interaction module is used to provide users with virtual scenes, collect users' real-time simulation data in real time, and provide users with real-time simulation feedback; the data processing module is used to fuse, transform and store the real-time simulation data; the physical property simulation unit is used to accurately simulate the material deformation and force characteristics of the real-time simulation data fused and transformed by the data processing module based on a multi-scale calculation model to obtain simulation feedback data; the environmental impact simulation unit is used to analyze the impact of the real-time simulation data fused and transformed by the data processing module on material properties, and generate material impact data; the evaluation and analysis unit is used to analyze the simulation feedback data and the material impact data in real time to generate evaluation results.

[0007] Preferably, the physical property simulation unit includes a multi-scale material deformation calculation unit and a stress field calculation unit; The multi-scale material deformation calculation unit is electrically connected to the data processing module and the stress field calculation unit through a data conductor, and is used to perform molecular dynamics calculation and continuous medium mechanics calculation based on real-time simulation data to generate stress data; The stress field calculation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor, and is used to calculate the stress and strain distribution of the material based on the stress data, generate material deformation, and determine the simulation feedback data based on the material deformation and the stress data; The environmental impact simulation unit includes a wind field simulation unit, a material degradation prediction unit and an environmental condition calculation unit; The wind field simulation unit is electrically connected to the data processing module and the environmental condition calculation unit through a data conductor, and is used to process the real-time simulation data using a k-ε turbulence model to obtain first simulation data; The environmental condition calculation unit is electrically connected to the material degradation prediction unit and the evaluation and analysis unit through a data conductor, and is used to analyze the impact on material properties and generate material impact data; The material degradation prediction unit is electrically connected to the evaluation and analysis unit via a data conductor, and is used to analyze the fatigue damage accumulation of the material based on the material impact data.

[0008] Preferably, the application service module includes a training scenario management unit, a user interface service unit and a system management service unit; The training scenario management unit is electrically connected to the user interface service unit via a data conductor, and is used to construct a variety of wind farm equipment simulation projects and monitor wind farm equipment simulation projects; The user interface service unit is electrically connected to the perception interaction module and the evaluation and analysis unit through a data conductor, so as to enable the user to select the wind farm equipment simulation project, input it into the perception interaction module for simulation, and display the evaluation result generated by the evaluation and analysis unit; The system management service unit is electrically connected to the evaluation and analysis unit, the perception interaction module, the training scenario management unit and the user interface service unit through data conductors, and is used to manage user permissions and back up the simulation feedback data, the material impact data and the evaluation results.

[0009] Preferably, the training scenario management unit includes a scenario initialization unit and a safety inspection unit; The scenario initialization unit is electrically connected to the user interface service unit via a data conductor, and is used to construct a variety of wind farm equipment simulation projects based on environmental parameters, material parameters and equipment parameters; The safety inspection unit is electrically connected to the user interface service unit via a data conductor, and is used to inspect the simulation environment in the wind farm equipment simulation project and process abnormal simulation environments.

[0010] Preferably, the system management service unit includes a system monitoring unit, a fault recovery unit and a multi-person collaborative training unit; The system monitoring unit is electrically connected to the perception interaction module, the model calculation module, the training scenario management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit through a data conductor, and is used to monitor the perception interaction module, the model calculation module, the training scenario management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit, and obtain abnormal data in the perception interaction module, the model calculation module, the training scenario management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit; The fault recovery unit is electrically connected to the fault recovery unit via a data conductor, and is used to analyze and process the abnormal data, determine the system fault and process it; The multi-person collaborative training unit is electrically connected to the user interface service unit via a data conductor for performing multi-person collaborative training.

[0011] Preferably, the perception interaction module includes a VR device access unit, a multimodal sensor network unit and a tactile feedback unit; The VR device access unit is electrically connected to the user interface service unit and the external VR device through a data conductor, and is used to receive an electric field device simulation project and provide a virtual simulation scene for the user; The multimodal sensor network unit is electrically connected to the VR device access unit and the data processing module through a data conductor, and is used to use real-time operation data of the user during the virtual simulation operation; The tactile feedback unit is electrically connected to the data processing module and the VR device access unit via a data wire, and is used to provide real-time simulated feedback to the user.

[0012] Preferably, the multimodal sensor network unit includes a force sensor array, a displacement sensor, an acceleration sensor and a temperature sensor, all of which are electrically connected to the data processing module through data wires; wherein the force sensor array, the displacement sensor and the acceleration sensor are used to collect real-time operation data, and the temperature sensor is used to collect real-time environmental parameters.

[0013] Preferably, the tactile feedback unit includes a position sensor, a controller and an actuator, all of which are electrically connected to the data processing module through data wires, the sensor is used to collect position and speed data; the controller outputs a force feedback instruction after calculation based on the feedback data, and the actuator is used to feed back the force in the real-time simulated feedback data to the user.

[0014] Preferably, the data processing module includes a real-time data acquisition unit, a data preprocessing unit and a data storage unit; The real-time data acquisition unit is electrically connected to the multimodal sensor network unit via a data conductor, and is used to collect real-time operation data collected by the multimodal sensor network unit; The data preprocessing unit is electrically connected to the real-time data acquisition unit and the physical property simulation unit through a data conductor, and is used to perform data filtering, calibration and fusion processing on the collected real-time operation data, and convert the data into standard format data, and transmit the standard format data to the data preprocessing unit for processing, and at the same time convert and split the real-time simulation feedback data and transmit it to the tactile feedback unit; The data storage unit is electrically connected to the real-time data acquisition unit and the data preprocessing unit through a data conductor, and is used to store the real-time operation data collected by the real-time data acquisition unit, the real-time simulation feedback data, and the standard format data converted by the data preprocessing unit.

[0015] The present invention proposes a method for using a wind farm equipment virtual disassembly and assembly training platform, comprising the following steps: The user logs in to the account through the application service module and selects the wind farm equipment simulation project; Virtual training is performed through the perception interaction module, which collects the user's real-time simulation data and transmits it to the data processing module for processing; The data processing module performs data filtering, calibration and fusion on the real-time simulation data, converts the fusion into standard format data, and transmits the converted standard format data to the physical property simulation unit and the environmental impact simulation unit; The physical property simulation unit accurately simulates the material deformation and force characteristics of the real-time simulation data based on the multi-scale calculation model, obtains simulation feedback data, and transmits it to the perception interaction module and the evaluation and analysis unit; the environmental impact simulation unit is used to analyze the impact of the real-time simulation data fused and converted by the data processing module on the material properties, generates material impact data, and transmits it to the evaluation and analysis unit; The evaluation and analysis unit analyzes the simulation feedback data and the material impact data in real time to generate an evaluation result; and transmits the evaluation result, the simulation feedback data and the material impact data to the application service module for display and storage; The perception interaction module receives the simulated feedback data and provides feedback to the user.

[0016] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention proposes a virtual disassembly and assembly training platform for wind farm equipment. The platform realizes accurate simulation of physical properties and real tactile feedback through a multi-level architecture. The platform adopts a multi-scale material deformation algorithm, combines a molecular dynamics model with a continuous medium mechanics model, and realizes high-precision simulation of material deformation, stress distribution and contact force; provides users with an immersive operation experience through a multimodal sensor network and a tactile feedback system; constructs a complete wind farm environment based on an environmental impact simulation engine, making the training environment closer to actual working conditions; and evaluates and guides the training process in real time through an evaluation and analysis engine, helping users to quickly master the correct operating essentials, thereby improving the training efficiency of wind farm maintenance personnel, reducing training costs, and eliminating safety hazards in actual operations. It provides a safe and efficient training method for the maintenance and maintenance of wind farm equipment, which is of great significance to improving the maintenance level of wind farm equipment.

[0017] Furthermore, this platform significantly improves the accuracy and practicality of material performance simulation by integrating multi-scale material deformation calculation and environmental impact simulation units. The multi-scale material deformation calculation unit combines molecular dynamics and continuous medium mechanics to achieve a full range of material behavior prediction from micro to macro. The generated stress data accurately reflects the deformation of the material under complex stress state. Based on these stress data, the stress field calculation unit further analyzes the stress and strain distribution of the material, providing a reliable basis for evaluating material deformation and performance; the environmental impact simulation unit comprehensively considers the impact of external environmental factors on material performance through modules such as wind field simulation, material degradation prediction and environmental condition calculation. In particular, the wind field simulation unit adopts an advanced k-ε turbulence model to improve the accuracy of simulation data; and the material degradation prediction unit, based on the material impact data calculated by environmental conditions, deeply analyzes the fatigue damage accumulation of the material, realizes the accurate simulation of the disassembly and assembly process of wind farm equipment, and provides a real operating experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a system architecture diagram of a wind farm equipment virtual disassembly and assembly training platform proposed by the present invention; Figure 2 A tactile feedback control flow chart of a wind farm equipment virtual disassembly and assembly training platform proposed by the present invention; Figure 3 This is a training scenario status diagram of a wind farm equipment virtual disassembly and assembly training platform proposed by the present invention. DETAILED DESCRIPTION

[0019] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0020] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0021] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0022] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or a communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0024] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0025] The invention provides a wind farm equipment virtual disassembly and assembly training platform, which builds a highly simulated wind power equipment disassembly and assembly training environment through virtual reality technology, multimodal sensing system and artificial intelligence algorithm. The platform solves the technical problems in the prior art such as unrealistic simulation of physical characteristics, inaccurate simulation of environmental factors, simple training evaluation system and imperfect multi-person collaborative training mechanism.

[0026] See also Figure 1The present invention proposes a wind farm equipment virtual disassembly and assembly training platform, including an application service module, a data processing module, a perception interaction module and a model calculation module; the application service module is electrically connected to the perception interaction module and the model calculation module through a data conductor, the perception interaction module is electrically connected to the data processing module through a data conductor, the data processing module is electrically connected to the model calculation module through a data conductor, and the data transmission delay between the modules is controlled within 5ms; the platform is used to construct a variety of wind farm equipment simulation projects, user authority management and data backup through the application service module; the perception interaction module is used to provide users with virtual scenes, collect users' real-time simulation data in real time, and provide real-time simulation feedback to users; the data processing module is used to fuse, transform and store real-time simulation data; the model calculation module is used to accurately simulate material deformation and force characteristics of the real-time simulation data fused and transformed by the data processing module based on a multi-scale calculation model to obtain simulation feedback data; analyze the influence of the real-time simulation data fused and transformed by the data processing module on material properties to generate material impact data; analyze the simulation feedback data and material impact data in real time to generate evaluation results, which are closely connected through standardized data interfaces to form a complete information processing closed loop. The data collected by the perception interaction module is pre-processed by the data processing module and then transmitted to the model calculation module for analysis and calculation. The calculation results are integrated and presented by the application service module and fed back to the user through the perception interaction module to achieve efficient and accurate control of the training process.

[0027] Among them, the application service module includes a training scenario management unit, a user interface service unit and a system management service unit; The training scenario management unit is electrically connected to the user interface service unit via data conductors, and is used to construct various wind farm equipment simulation projects and monitor wind farm equipment simulation projects, supporting scenario customization and dynamic adjustment; the training scenario management unit includes a scenario initialization unit and a safety inspection unit; the scenario initialization unit is electrically connected to the user interface service unit via data conductors, and is used to construct various wind farm equipment simulation projects based on equipment three-dimensional models, environmental parameters, material parameters and equipment parameters; the safety inspection unit is electrically connected to the user interface service unit via data conductors, and is used to check the simulation environment in the wind farm equipment simulation project and process abnormal simulation environments. When an abnormal situation occurs, the system automatically switches to the emergency handling state to guide the user to complete the emergency handling. After the emergency handling is completed, the system returns to the evaluation feedback state. The specific workflow of the training scenario management unit is as follows: Figure 3 As shown, the system first enters the scene initialization state, and loads the preset training scene data, including the 3D model of the equipment, material parameters, environmental parameters and other information. The initialization process usually takes 2-3 seconds to complete. Then it enters the safety check state, and the system automatically checks the equipment status, operating environment and safety protection measures to ensure that the training can be carried out safely.

[0028] The user interface service unit is electrically connected to the perception interaction module and the model calculation module through a data conductor, so as to enable the user to select a wind farm equipment simulation project and input it into the perception interaction module for simulation, and to display the generated evaluation result generated by the evaluation analysis unit; The system management service unit is electrically connected to the model calculation module, the perception interaction module, the data processing module, the training scenario management unit and the user interface service unit through data conductors, and is used to manage user permissions and back up simulation feedback data, material impact data and evaluation results; The system management service unit includes a system monitoring unit, a fault recovery unit and a multi-person collaborative training unit; the system monitoring unit is electrically connected to the perception interaction module, the model calculation module, the training scene management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit through data conductors, and is used to monitor the perception interaction module, the model calculation module, the training scene management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit, and obtain abnormal data in the perception interaction module, the model calculation module, the training scene management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit; the fault recovery unit is electrically connected to the fault recovery unit through data conductors, and is used to analyze and process abnormal data, determine system faults and process them; the multi-person collaborative training unit is electrically connected to the user interface service unit through data conductors, and is used to perform multi-person collaborative training.

[0029] The model calculation module includes a physical property simulation unit, an environmental impact simulation unit and an evaluation and analysis unit; the physical property simulation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor, and is used to accurately simulate the material deformation and force characteristics based on the multi-scale calculation model for the real-time simulation data fused and converted by the data processing module, and obtain simulation feedback data; Among them, the physical property simulation unit adopts a multi-scale material deformation algorithm, combining the molecular dynamics model with the continuous medium mechanics model to achieve full-scale simulation from micro to macro. In the simulation of material mechanical properties, the stress-strain relationship is calculated by the following formula:

[0030] Where: represents the stress tensor; represents the elastic modulus tensor; represents the strain tensor; represents the viscosity coefficient tensor; Represents the strain rate tensor. This formula fully considers the elastic deformation and viscous deformation characteristics of the material, ensuring the physical accuracy of the simulation process.

[0031] The physical property simulation unit includes a multi-scale material deformation calculation unit and a stress field calculation unit; The multi-scale material deformation calculation unit is electrically connected to the data processing module and the stress field calculation unit through a data conductor, and is used to perform molecular dynamics calculation and continuous medium mechanics calculation based on real-time simulation data to generate stress data; the stress field calculation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor, and is used to calculate the stress-strain distribution of the material based on the stress data, generate material deformation, and determine simulation feedback data based on the material deformation and stress data; The environmental impact simulation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor, and is used to analyze the impact of the real-time simulation data fused and converted by the data processing module on the material properties, and generate material impact data; The environmental impact simulation unit includes a wind field simulation unit, a material degradation prediction unit and an environmental condition calculation unit; the wind field simulation unit is electrically connected to the data processing module and the environmental condition calculation unit through a data conductor, and is used to process the real-time simulation data using a k-ε turbulence model to obtain first simulation data; the environmental condition calculation unit is electrically connected to the material degradation prediction unit and the evaluation and analysis unit through a data conductor, and is used to analyze the impact on material properties and generate material impact data; the material degradation prediction unit is electrically connected to the evaluation and analysis unit through a data conductor, and is used to analyze the fatigue damage accumulation of the material based on the material impact data; Among them, the k-ε turbulence model is:

[0032] Where: represents turbulent kinetic energy; represents the average velocity component; represents the turbulence generation term; represents the dissipation rate; represents the kinematic viscosity coefficient; represents the turbulent viscosity coefficient; represents the turbulent diffusion coefficient. The model realizes accurate wind field simulation in a 100m×100m×100m computational domain.

[0033] The evaluation and analysis unit is electrically connected to the multi-scale material deformation calculation unit, stress field calculation unit, user interface service unit, environmental condition calculation unit and material degradation prediction unit through data conductors, and is used to analyze the simulation feedback data and material impact data in real time to generate evaluation results. The evaluation content includes operation accuracy, time efficiency, safety norms and emergency response capabilities. The evaluation adopts a 100-point scoring standard, and the system generates an evaluation report in real time. Finally, it enters the record archiving state, saves the training data, evaluation results and operation video to the database, and the complete record of the training process can be traced and queried.

[0034] The perception interaction module includes a VR device access unit, a multimodal sensor network unit and a tactile feedback unit; the VR device access unit is electrically connected to the user interface service unit and the external VR device through a data conductor, and is used to receive the electric field device simulation project to provide a virtual simulation scene for the user; The VR device access unit is responsible for data transmission and control of virtual reality devices, ensuring that the image display delay is less than 20ms. The VR device access unit includes a training simulation unit and a data transmission unit; The data transmission unit is electrically connected to the training simulation unit, the tactile feedback unit, the user interface service unit, the VR device and the multimodal sensor network unit through a data conductor, and is used for data transmission between the training simulation unit and the tactile feedback unit, the user interface service unit, the VR device and the multimodal sensor network unit respectively; the training simulation unit is used to receive the electric field device simulation project transmitted by the user interface service unit to provide a virtual simulation scene for the user, and to perform simulation based on the real-time operation data input by the VR device, and at the same time receive the force feedback of the tactile feedback unit to update the virtual simulation scene.

[0035] The multimodal sensor network unit collects user operation data and environmental parameters to achieve millimeter-level spatial positioning accuracy. The multimodal sensor network unit is electrically connected to the VR device access unit and the data processing module through data wires, and is used to use the real-time operation data of the user during the virtual simulation operation; the multimodal sensor network unit includes a force sensor array, a displacement sensor, an acceleration sensor and a temperature sensor, which are all electrically connected to the data processing module through data wires; among them, the force sensor array, the displacement sensor and the acceleration sensor are used to collect real-time operation data, and the temperature sensor is used to collect real-time environmental parameters. The multimodal sensor network unit adopts a matrix layout, including a 64×64 force sensor array with a sampling rate of 1000Hz; displacement sensors arranged at intervals of 50mm with an accuracy of 0.01mm; a three-axis acceleration sensor with a measurement range of ±16g; and a temperature sensor with an accuracy of 0.1℃. The data processing system has a real-time data throughput capacity of 10TB / day, the data preprocessing delay is controlled within 1ms, the storage system write speed exceeds 2GB / s, and the data compression ratio is greater than 5:1.

[0036] The tactile feedback unit is electrically connected to the data processing module and the VR device access unit through a data conductor, and is used to provide real-time simulated feedback to the user. The tactile feedback unit adopts a closed-loop control structure, including a sensor, a controller and an actuator, such as Figure 2As shown, the system collects position and speed data through high-precision sensors, and the controller outputs force feedback instructions after calculation based on the feedback data. Finally, the actuator realizes accurate tactile feedback. The sensor module includes a position sensor and a speed sensor. The position sensor uses a photoelectric encoder with a resolution of 0.01mm and a sampling frequency of 1000Hz. The speed sensor uses a Hall sensor with a measurement range of 0-10m / s and an accuracy of 0.01m / s. The position data and speed data collected by the sensor are transmitted to the data processing module in real time for processing, and the system processes the data to obtain analog feedback data.

[0037] After receiving the analog feedback data, the controller performs data preprocessing, including noise filtering, data calibration and signal smoothing. The preprocessed data is input into the PID model for calculation to generate a force feedback instruction. After the actuator receives the force feedback instruction output by the controller, it provides feedback to the user. The actuator adopts a dual-axial force feedback mechanism, which can output tangential force and normal force at the same time. The force output range is 0-20N and the control accuracy is 0.01N. The force output of the actuator is returned to the controller after detection by the sensor, forming a closed-loop control to ensure the accuracy and stability of the force feedback, so that users can get a real tactile experience.

[0038] Among them, the operation equation of the PID model is:

[0039] Where: Indicates output force; represents the proportionality coefficient; represents the integral coefficient; represents the differential coefficient; represents the error signal; Represents the compensation force. The PID model achieves a force feedback accuracy of 0.01N and a system response time of less than 5ms.

[0040] The data processing module includes a real-time data acquisition unit, a data preprocessing unit and a data storage unit; The real-time data acquisition unit is electrically connected to the multimodal sensor network unit through a data conductor, and is used to collect real-time operation data collected by the multimodal sensor network unit; The data preprocessing unit is electrically connected to the real-time data acquisition unit and the physical property simulation unit through data conductors, and is used to filter, calibrate and fuse the collected real-time operation data, and convert it into standard format data. The sampling frequency reaches 1000Hz, and a distributed storage architecture is adopted to support high-speed data reading and writing. The standard format data is transmitted to the data preprocessing unit for processing, and the real-time simulation feedback data is converted, split and transmitted to the tactile feedback unit. The data storage unit is electrically connected to the real-time data acquisition unit and the data preprocessing unit through a data conductor, and is used to store the real-time operation data collected by the real-time data acquisition unit, the real-time simulation feedback data and the standard format data converted by the data preprocessing unit.

[0041] Through the implementation of the above technical solutions, the training platform has successfully achieved a high degree of simulation for virtual disassembly and assembly training of wind farm equipment, significantly improving the training effect and efficiency. The platform not only solves various problems existing in the existing technology, but also reaches a high level in terms of operation simulation, training effect and system reliability, providing strong technical support for the training of wind farm maintenance personnel.

[0042] The present invention proposes a method for using a wind farm equipment virtual disassembly and assembly training platform, comprising the following steps: The user logs in to the account through the application service module and selects the wind farm equipment simulation project; Virtual training is performed through the perception interaction module, which collects the user's real-time simulation data and transmits it to the data processing module for processing; The data processing module filters, calibrates and fuses the real-time simulation data, converts it into standard format data after fusion, and transmits the converted standard format data to the physical property simulation unit and the environmental impact simulation unit; The physical property simulation unit accurately simulates the material deformation and stress characteristics of the real-time simulation data based on the multi-scale calculation model, obtains simulation feedback data, and transmits it to the perception interaction module and the evaluation and analysis unit; the environmental impact simulation unit is used to analyze the impact of the real-time simulation data fused and converted by the data processing module on the material properties, generates material impact data, and transmits it to the evaluation and analysis unit; The evaluation and analysis unit analyzes the simulation feedback data and material impact data in real time to generate evaluation results; the evaluation results, simulation feedback data and material impact data are transmitted to the application service module for display and storage; The perception interaction module receives the simulated feedback data and provides feedback to the user.

[0043] Taking the disassembly and assembly training of the main bearing of a wind turbine as an example, the system proposed by the present invention is further explained: before the disassembly and assembly training of the main bearing begins, the system first initializes the scene. The training platform loads the precise three-dimensional model of the main bearing, including the geometric data and material parameters of the bearing body, bearing seat, fastening bolts, sealing ring and other components. At the same time, the system sets the training environment parameters to simulate the actual working environment of a 75-meter high-altitude platform, with the wind speed set to 4m / s and the ambient temperature set to 20°C.

[0044] The user enters the virtual training environment through a VR helmet, and the system displays the complete main bearing structure of the wind turbine. The user wears tactile feedback gloves on both hands to perceive the force feedback during the operation. The training process is carried out in accordance with standard operating procedures. The specific steps are as follows: Phase 1: Disassembly preparation: Safety check: The system guides the user to check personal protective equipment and confirm that the safety belt, safety helmet, tool kit and other equipment are complete; Tool preparation: The system displays a list of required tools, including special disassembly tools, torque wrenches (0-500N·m), dial indicators, vernier calipers, etc.; Status confirmation: Check the status of the wind turbine and confirm that the impeller is locked, the pitch system is locked, and the yaw system is locked.

[0045] Stage 2: Bearing disassembly: Bolt removal: The system displays the positions of 12 M36 fastening bolts. Users use a torque wrench to remove the bolts. The tactile feedback system provides an actual torque sense of 320N·m. The system monitors the bolt removal sequence to ensure diagonal removal. Bearing seat disassembly: Use a special disassembly tool to separate the upper and lower parts of the bearing seat. The force feedback system simulates a separation force of 2000N and monitors the force uniformity during the separation process in real time. Bearing removal: Install a special lifting tool. The system simulates the gravity effect of a 450kg bearing. The force feedback system provides a real sense of gravity and monitors the lifting angle. The deviation must not exceed 3°. Phase 3: Bearing Installation: Installation preparation: Check the surface condition of the new bearing; clean the bearing seat installation surface; confirm the integrity of the seal ring; Bearing in place: Use lifting tools to lift the new bearing into place; The system provides real-time position deviation data; The contact surface clearance is controlled at 0.02-0.05mm; Bolt installation: The system displays the bolt installation sequence; Complete the bolt tightening in three times, the first tightening torque is 120N·m, the second tightening torque is 240N·m, and the final tightening is to 320N·m. The tactile feedback system provides accurate torque sense; Stage 4: Quality Inspection: Clearance inspection: use a dial indicator to measure the radial clearance of the bearing. The system displays the standard clearance range of 0.08-0.12mm and displays the measured data in real time. Test run inspection: perform a low-speed rotation test of the bearing. The system simulates the sound and vibration of the bearing operation, collects the operation data for analysis, and during the entire training process, the system records the following data in real time: operation timing data: operation time of each step, accuracy of tool use; standardization of operation actions; technical parameter data: bolt tightening torque value, bearing installation clearance value, component coaxiality data; safety management data: safety protection execution, special working condition handling, tool use standardization; after the training, the system generates an evaluation report, including the following: operation standardization score (full score 100 points): operation sequence accuracy: 30 points; technical parameter control: 40 points; safety specification execution: 30 points; time efficiency evaluation: standard time: 120 minutes; actual completion time comparison; skill improvement suggestions: operation items to be improved, weak link analysis, and improvement measures. It can be seen from this example that the training platform of the present invention can provide a highly simulated training environment to help operators master complex disassembly and assembly skills. The system ensures that the training effect reaches the actual operation level through precise force feedback, real-time parameter monitoring and comprehensive data analysis. At the same time, the system's evaluation function can objectively evaluate the training effect and provide operators with targeted improvement suggestions.

[0046] It can be seen from this example that the training platform of the present invention can provide a highly simulated training environment to help operators master complex disassembly and assembly skills. The system ensures that the training effect reaches the actual operation level through precise force feedback, real-time parameter monitoring and comprehensive data analysis. At the same time, the evaluation function of the system can objectively evaluate the training effect and provide operators with targeted improvement suggestions.

[0047] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended to include all changes within the meaning and scope of the equivalent elements of the claims. Any figure mark in the claims should not be regarded as limiting the claims involved. The molecular dynamics simulation accuracy reaches 0.1nm, the force feedback response time is less than 5ms, the position tracking accuracy is ±0.1mm, and the rendering frame rate reaches 120fps. The system as a whole shows excellent performance indicators: the operation accuracy rate exceeds 98%, the fault diagnosis accuracy rate exceeds 90%, the emergency disposal qualification rate exceeds 85%, and the team collaboration efficiency is improved by more than 60%. At the same time, the system stability reaches 99.99%, the average failure interval time exceeds 5000 hours, the fault recovery time is less than 15 minutes, and it supports 50 people to train online at the same time.

[0048] In addition, it should be understood that although this specification is described in accordance with the implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art. The above content is only to illustrate the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution according to the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A wind farm equipment virtual disassembly and assembly training platform, characterized in that: The application service module is electrically connected to the perception interaction module and the model calculation module through a data conductor, the perception interaction module is electrically connected to the data processing module through a data conductor, and the data processing module is electrically connected to the model calculation module through a data conductor; The model calculation module includes a physical property simulation unit, an environmental impact simulation unit and an evaluation and analysis unit; the physical property simulation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor; the environmental impact simulation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor; the evaluation and analysis unit is electrically connected to the application service module through a data conductor; Among them, the application service module is used to build various wind farm equipment simulation projects, user authority management and data backup; the perception interaction module is used to provide users with virtual scenes, collect users' real-time simulation data in real time, and provide users with real-time simulation feedback; the data processing module is used to fuse, transform and store the real-time simulation data; the physical property simulation unit is used to accurately simulate the material deformation and force characteristics of the real-time simulation data fused and transformed by the data processing module based on a multi-scale calculation model to obtain simulation feedback data; the environmental impact simulation unit is used to analyze the impact of the real-time simulation data fused and transformed by the data processing module on material properties, and generate material impact data; the evaluation and analysis unit is used to analyze the simulation feedback data and the material impact data in real time to generate evaluation results.

2. A wind farm equipment virtual disassembly and assembly training platform according to claim 1, characterized in that: The physical property simulation unit includes a multi-scale material deformation calculation unit and a stress field calculation unit; The multi-scale material deformation calculation unit is electrically connected to the data processing module and the stress field calculation unit through a data conductor, and is used to perform molecular dynamics calculation and continuous medium mechanics calculation based on real-time simulation data to generate stress data; The stress field calculation unit is electrically connected to the data processing module and the evaluation and analysis unit through a data conductor, and is used to calculate the stress and strain distribution of the material based on the stress data, generate material deformation, and determine the simulation feedback data based on the material deformation and the stress data; The environmental impact simulation unit includes a wind field simulation unit, a material degradation prediction unit and an environmental condition calculation unit; The wind field simulation unit is electrically connected to the data processing module and the environmental condition calculation unit through a data conductor, and is used to process the real-time simulation data using a k-ε turbulence model to obtain first simulation data; The environmental condition calculation unit is electrically connected to the material degradation prediction unit and the evaluation and analysis unit through a data conductor, and is used to analyze the impact on material properties and generate material impact data; The material degradation prediction unit is electrically connected to the evaluation and analysis unit via a data conductor, and is used to analyze the fatigue damage accumulation of the material based on the material impact data.

3. A wind farm equipment virtual disassembly and assembly training platform according to claim 1, characterized in that: The application service module includes a training scenario management unit, a user interface service unit and a system management service unit; The training scenario management unit is electrically connected to the user interface service unit via a data conductor, and is used to construct a variety of wind farm equipment simulation projects and monitor wind farm equipment simulation projects; The user interface service unit is electrically connected to the perception interaction module and the evaluation and analysis unit through a data conductor, so as to enable the user to select the wind farm equipment simulation project, input it into the perception interaction module for simulation, and display the evaluation result generated by the evaluation and analysis unit; The system management service unit is electrically connected to the evaluation and analysis unit, the perception interaction module, the training scenario management unit and the user interface service unit through data conductors, and is used to manage user permissions and back up the simulation feedback data, the material impact data and the evaluation results.

4. A wind farm equipment virtual disassembly and assembly training platform according to claim 3, characterized in that: The training scenario management unit includes a scenario initialization unit and a safety inspection unit; The scenario initialization unit is electrically connected to the user interface service unit via a data conductor, and is used to construct a variety of wind farm equipment simulation projects based on environmental parameters, material parameters and equipment parameters; The safety inspection unit is electrically connected to the user interface service unit via a data conductor, and is used to inspect the simulation environment in the wind farm equipment simulation project and process abnormal simulation environments.

5. A wind farm equipment virtual disassembly and assembly training platform according to claim 3, characterized in that: The system management service unit includes a system monitoring unit, a fault recovery unit and a multi-person collaborative training unit; The system monitoring unit is electrically connected to the perception interaction module, the model calculation module, the training scenario management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit through a data conductor, and is used to monitor the perception interaction module, the model calculation module, the training scenario management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit, and obtain abnormal data in the perception interaction module, the model calculation module, the training scenario management unit, the user interface service unit, the physical property simulation unit, the environmental impact simulation unit and the evaluation and analysis unit; The fault recovery unit is electrically connected to the fault recovery unit via a data conductor, and is used to analyze and process the abnormal data, determine the system fault and process it; The multi-person collaborative training unit is electrically connected to the user interface service unit via a data conductor for performing multi-person collaborative training.

6. A wind farm equipment virtual disassembly and assembly training platform according to claim 2, characterized in that: The perception interaction module includes a VR device access unit, a multimodal sensor network unit and a tactile feedback unit; The VR device access unit is electrically connected to the user interface service unit and the external VR device through a data conductor, and is used to receive an electric field device simulation project and provide a virtual simulation scene for the user; The multimodal sensor network unit is electrically connected to the VR device access unit and the data processing module through a data conductor, and is used to use real-time operation data of the user during the virtual simulation operation; The tactile feedback unit is electrically connected to the data processing module and the VR device access unit via a data wire, and is used to provide real-time simulated feedback to the user.

7. A wind farm equipment virtual disassembly and assembly training platform according to claim 6, characterized in that: The multimodal sensor network unit includes a force sensor array, a displacement sensor, an acceleration sensor and a temperature sensor, all of which are electrically connected to the data processing module through data wires; wherein the force sensor array, the displacement sensor and the acceleration sensor are used to collect real-time operation data, and the temperature sensor is used to collect real-time environmental parameters.

8. A wind farm equipment virtual disassembly and assembly training platform according to claim 6, characterized in that: The tactile feedback unit includes a position sensor, a controller and an actuator, which are all electrically connected to the data processing module through data wires. The sensor is used to collect position and speed data; the controller outputs a force feedback instruction after calculation based on the feedback data, and the actuator is used to feed back the force in the real-time simulated feedback data to the user.

9. A wind farm equipment virtual disassembly and assembly training platform according to claim 6, characterized in that: The data processing module includes a real-time data acquisition unit, a data preprocessing unit and a data storage unit; The real-time data acquisition unit is electrically connected to the multimodal sensor network unit via a data conductor, and is used to collect real-time operation data collected by the multimodal sensor network unit; The data preprocessing unit is electrically connected to the real-time data acquisition unit and the physical property simulation unit through a data conductor, and is used to perform data filtering, calibration and fusion processing on the collected real-time operation data, and convert the data into standard format data, and transmit the standard format data to the data preprocessing unit for processing, and at the same time convert and split the real-time simulation feedback data and transmit it to the tactile feedback unit; The data storage unit is electrically connected to the real-time data acquisition unit and the data preprocessing unit through a data conductor, and is used to store the real-time operation data collected by the real-time data acquisition unit, the real-time simulation feedback data, and the standard format data converted by the data preprocessing unit.

10. A method for using a wind farm equipment virtual disassembly and assembly training platform, characterized in that: The following steps are involved: The user logs in to the account through the application service module and selects the wind farm equipment simulation project; Virtual training is performed through the perception interaction module, which collects the user's real-time simulation data and transmits it to the data processing module for processing; The data processing module performs data filtering, calibration and fusion on the real-time simulation data, converts the fusion into standard format data, and transmits the converted standard format data to the physical property simulation unit and the environmental impact simulation unit; The physical property simulation unit accurately simulates the material deformation and force characteristics of the real-time simulation data based on the multi-scale calculation model, obtains simulation feedback data, and transmits it to the perception interaction module and the evaluation and analysis unit; the environmental impact simulation unit is used to analyze the impact of the real-time simulation data fused and converted by the data processing module on the material properties, generates material impact data, and transmits it to the evaluation and analysis unit; The evaluation and analysis unit analyzes the simulation feedback data and the material impact data in real time to generate an evaluation result; and transmits the evaluation result, the simulation feedback data and the material impact data to the application service module for display and storage; The perception interaction module receives the simulated feedback data and provides feedback to the user.

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