Structural optimization design and assembly method of cement tower of wind driven generator

Abstract

The invention relates to the technical field of wind driven generator cement towers, in particular to a structural optimization design of a wind driven generator cement tower, which comprises the following contents: S1, problem definition and target setting; s2, system analysis and parameter determination; s3, conceptual design and preliminary design are carried out; s4, optimization target setting; s5, optimization calculation is carried out, and a mathematical model is established; s6, analyzing a result; s7, performing iterative improvement; s8, detailed design and manufacturing preparation; s9, performing test verification and adjustment; s10, compiling a design report and related technical documents; by optimizing the structural design of the cement tower of the wind driven generator, the bearing capacity and stability of the cement tower can be remarkably improved, the service life is prolonged, meanwhile, vibration and noise in the operation process of the wind driven generator are reduced, the wind energy conversion efficiency is improved, and the adaptability to the complex wind field environment is enhanced; the wind power generation system is more reliable and efficient, the wind power generation cost is further reduced, and the economic benefits of wind power generation projects are improved.

Description

Technical Field

[0001] The invention relates to the technical field of wind turbine cement towers, and in particular to a structural optimization design and an assembly method of a wind turbine cement tower. Background Art

[0002] With the rapid development of wind power generation, the power of wind turbines has continued to increase, making the size of wind turbine towers larger and larger. Therefore, the weight of the tower is too large, which makes it difficult to transport and causes a series of problems in the manufacture, transportation, and installation of the tower. By reasonably designing the configuration of the tower, the utilization rate and load-bearing capacity of the structural materials can be effectively increased, thereby obtaining greater economic benefits.

[0003] The design of traditional wind turbine cement towers has certain limitations in terms of technology and economy. First, in terms of protecting the stability and safety of wind power generation equipment, the existing tower design has not yet achieved the best effect in resisting the impact of wind pressure and other environmental factors. It is easy to tilt or collapse in bad weather, thus affecting the efficiency and reliability of wind power generation. The structural complexity of the cement tower further limits the construction efficiency and increases the maintenance cost. Therefore, optimizing the structural design of the wind turbine cement tower is of great significance to improving the stability and reliability of the wind power generation system and reducing the construction and maintenance costs.

[0004] Therefore, in view of the problem that the above tower design has not yet achieved the best effect in resisting the impact of wind pressure and other environmental factors, and is prone to accidents such as tilting or collapse in bad weather, a structural optimization design and assembly method of a wind turbine cement tower can be designed. Summary of the invention

[0005] In order to overcome the problem that the tower design is not yet optimal in resisting the impact of wind pressure and other environmental factors, it is prone to accidents such as tilting or collapse in bad weather.

[0006] The technical solution of the present invention is: structural optimization design of a cement tower of a wind turbine generator, including the following contents:

[0007] S1: Problem definition and goal setting

[0008] S11: Clarify the goals of the design project;

[0009] S12: Determine design constraints;

[0010] S2: System analysis and parameter determination

[0011] S21: Analyze the impact of wind load, heavy load, deadweight and earthquake on the cement tower of wind turbine;

[0012] S22: Determine the load and boundary conditions of the tower according to the actual environment and usage conditions;

[0013] S3: Concept design and preliminary design

[0014] S31: Determine the basic structural form of the tower;

[0015] S32: Determine the material type and design parameters through preliminary calculations;

[0016] S4: Optimize goal setting

[0017] S41: Identify the main optimization goal, such as reducing weight, increasing load-bearing capacity, or others;

[0018] S42: Select appropriate optimization methods and algorithms, such as genetic algorithms or simulated annealing algorithms;

[0019] S5: Optimize calculations and establish mathematical models

[0020] S51: Establishing the mechanical model

[0021] S511: Geometric modeling, using CAD software to build the geometric model of the wind turbine cement tower;

[0022] S512: Material properties: Select an appropriate material model to describe the material properties of the tower;

[0023] S513: Boundary conditions and loads: Determine the boundary conditions of the tower, such as fixed connection parts and site environmental conditions, including wind loads and deadweight loads;

[0024] S52: Mechanical Calculation

[0025] S521: Use CAE software to select appropriate materials and loading conditions;

[0026] S521: Apply preset loads such as wind pressure and weight to the tower according to the actual application environment, and perform static and dynamic analysis;

[0027] S53: Building an optimization model

[0028] S531: Select appropriate optimization algorithms, including genetic algorithm, particle swarm optimization, and simulated annealing algorithm;

[0029] S532: Determine design variables and set adjustable tower design parameters, such as wall thickness, cross-sectional shape, and material ratio;

[0030] S533: Stiffness, strength and stability analysis, setting stiffness, strength and stability as performance indicators in the optimization model to evaluate the impact of corresponding design variables on tower performance;

[0031] S6: Results Analysis

[0032] S61: Evaluate the optimization results to check whether they meet the design requirements;

[0033] S62: Analyze the optimized structural performance, such as stability, safety, and economy;

[0034] S7: Iterative Improvement

[0035] S71: If the result does not meet the requirements, return to the optimization calculation step for adjustment;

[0036] S72: multiple iterations until a satisfactory optimization result is achieved;

[0037] S8: Detailed design and manufacturing preparation

[0038] S81: Carry out detailed design for the optimized tower structure, including size, material selection, and connection method;

[0039] S82: Manufacturing preparation, such as mold selection and construction plan formulation;

[0040] S9: Test verification and adjustment

[0041] S91: Conduct physical model experiments on the optimized tower structure to verify whether the results of CAE analysis are accurate, including fatigue tests, static load tests, dynamic load tests, and wind tunnel tests to ensure that the performance of the tower under wind force meets the requirements;

[0042] S92: Make necessary adjustments based on the test results;

[0043] S10: Prepare design reports and related technical documents, ensure that all design parameters and calculation results are clearly recorded, and provide detailed technical support for project implementation.

[0044] Preferably, the CAE software used is any one or more of ABAQUS, ANSYS, Hypermesh, SolidWorks Simulation and COMSOL Multiphysics.

[0045] Preferably, the goals of the design project in S11 include but are not limited to lightweighting, improving stability and reducing costs.

[0046] Preferably, the constraints in S12 include but are not limited to safety requirements, construction difficulty and cost constraints.

[0047] Preferably, the basic structural forms of the tower in S31 include but are not limited to circular, square and super high-rise structures.

[0048] Preferably, the design parameters in S32 include but are not limited to structural dimensions and material thickness.

[0049] Preferably, the steps of the genetic algorithm in S531 are as follows:

[0050] (1) Define the optimization goal: First, the optimization goal needs to be clearly defined, such as minimizing the total mass or cost of the tower, or the structural stress under specific load conditions;

[0051] (2) Coding scheme: Define the coding method for the problem, such as tower cross-sectional dimensions and material selection. Real number coding or binary coding can be used.

[0052] (3) Select genetic operation:

[0053] Crossover operation: simulates sexual reproduction in nature and generates new candidate solutions by combining parts of two "chromosomes";

[0054] Mutation operation: simulate the mutation phenomenon in nature and randomly change individuals at certain sites to explore more possibilities;

[0055] (4) Evaluation function: Evaluate each individual according to the optimization goal to determine its fitness. The evaluation function needs to accurately reflect the design goal, usually by directly calculating the target value or a ratio.

[0056] (5) Termination condition: defines when the algorithm ends, such as when a predetermined maximum number of iterations is reached or when a satisfactory solution is found;

[0057] (6) Execute the genetic algorithm: loop through the selection, crossover, and mutation operations until the termination condition is met.

[0058] Preferably, the specific steps of particle swarm optimization in S531 are as follows:

[0059] (1) Initialization:

[0060] Set the parameters of the particle swarm algorithm: including the size of the particle swarm, the number of variables contained in each particle, the initial position and speed of the particle; determine the optimization goals, such as reducing material usage and improving the stability of wind turbines;

[0061] (2) Setting optimization constraints

[0062] Determine the boundary conditions of each particle's velocity and position to ensure that the particle's flight trajectory is within the legal range;

[0063] (3) Calculate initial fitness

[0064] Calculate the current fitness value of each particle, which is usually the minimum or maximum value of the objective function. In the optimization design of cement towers, common objective functions include cost, weight, and stability.

[0065] (4) Update personal extreme values ​​and global extreme values:

[0066] Compare each particle’s current fitness value with the best solution it has previously found;

[0067] Compare the current fitness values ​​of all particles to find the best solution globally;

[0068] (5) Update the speed and position of the particle. According to the fitness and extreme value conditions, the speed and position of each particle are updated according to the update formula of the PSO algorithm;

[0069] (6) Determine whether the stopping condition is met, check whether the maximum number of iterations has been reached, whether the fitness meets the preset accuracy requirements or other pre-set stopping conditions, and if the stopping condition is met, terminate the algorithm; if not, return to (4) and continue iterating;

[0070] (7) Output the optimal solution. When the algorithm terminates, the optimal solution found is output, that is, the position of the particle with the optimal fitness value, thereby obtaining the optimal design parameters of the cement tower.

[0071] Preferably, the steps of the simulated annealing algorithm in S531 are as follows:

[0072] (1) Initial solution: Select an initial structural design solution as a starting point, which can be generated randomly or set according to rules;

[0073] (2) Neighborhood search: Generate candidate solutions near the current solution;

[0074] (3) Migration probability: Calculate the energy difference between the current solution and the candidate solution, and calculate the migration probability based on this energy difference. If the candidate solution is better than the current solution, it is always accepted; if it is worse, it is accepted with a certain probability.

[0075] (4) Cooling process: As the “temperature” gradually decreases, the probability of accepting a worse candidate solution gradually decreases;

[0076] (5) Termination condition: The algorithm stops when the temperature drops to a certain threshold or the optimization reaches a certain number of rounds.

[0077] The method for assembling a wind turbine cement tower comprises the structural optimization design of the wind turbine cement tower as described above, and the steps are as follows:

[0078] Step 1: Confirm the specific model and installation requirements of the tower, including height, diameter, and connection method, provide safety training for relevant personnel, ensure that all tools and equipment are in good condition, and check the required material models and sizes according to the construction drawings;

[0079] Step 2: Transport the tower sections. Choose the appropriate transportation tool according to the size and shape of the tower. Use straps to fix the tower or take other measures to prevent the tower from deformation or damage during transportation.

[0080] Step 3: Unload the tower sections to the predetermined positions in order, measure and locate them, use a level or other tools to assist in measurement to ensure the verticality of the tower, and check whether there are cracks or other damages on the tower;

[0081] Step 4: Connect the tower sections. Use special connectors to connect the tower sections in the order required by the drawings. Check whether the connection parts are firm. Use tightening tools to reinforce them if necessary. If connected to the ground foundation, the foundation structure needs to be reinforced to ensure overall stability.

[0082] Step 5: For some large tower sections, concrete is required to be used for reinforcement at the joints. Concrete is poured according to standard operating procedures. After the concrete solidifies, the next part of the tower section can be installed.

[0083] Step 6: Tower top installation: After completing the connection of all tower sections and concrete pouring, install the tower top components such as the connection platform, connect the wind rotor blade inlet and other components;

[0084] Step 7: Install the tower lightning protection system, lighting equipment, monitoring equipment, and install appropriate lightning rods, lamps, temperature and vibration monitoring equipment according to the specific needs of the wind turbine;

[0085] Step 8: Clean up the construction site, ensure that all waste is properly disposed of, and conduct a final safety check on the entire tower to ensure that all components function properly;

[0086] Step 9: Conduct strict quality inspection on the entire assembly process to ensure that the design and safety requirements are met.

[0087] The beneficial effects of the present invention are as follows: by optimizing the structural design of the cement tower of a wind turbine, its bearing capacity and stability can be significantly improved, and its service life can be extended. At the same time, the vibration and noise during the operation of the wind turbine can be reduced, the wind energy conversion efficiency can be improved, and the adaptability to complex wind field environments can be enhanced, making the wind power generation system more reliable and efficient, further reducing the cost of wind power generation, and improving the economic benefits of wind power generation projects. DETAILED DESCRIPTION

[0088] The present invention will be further described below in conjunction with the embodiments.

[0089] The present invention provides an embodiment: a structural optimization design of a cement tower of a wind turbine generator, comprising the following contents:

[0090] S1: Problem definition and goal setting

[0091] S11: Clarify the goals of the design project;

[0092] S12: Determine design constraints;

[0093] S2: System analysis and parameter determination

[0094] S21: Analyze the impact of wind load, heavy load, deadweight and earthquake on the cement tower of wind turbine;

[0095] S22: Determine the load and boundary conditions of the tower according to the actual environment and usage conditions;

[0096] S3: Concept design and preliminary design

[0097] S31: Determine the basic structural form of the tower;

[0098] S32: Determine the material type and design parameters through preliminary calculations;

[0099] S4: Optimize goal setting

[0100] S41: Identify the main optimization goal, such as reducing weight, increasing load-bearing capacity, or others;

[0101] S42: Select appropriate optimization methods and algorithms, such as genetic algorithms or simulated annealing algorithms;

[0102] S5: Optimize calculations and establish mathematical models

[0103] S51: Establishing the mechanical model

[0104] S511: Geometric modeling, using CAD software to build the geometric model of the wind turbine cement tower;

[0105] S512: Material properties: Select an appropriate material model to describe the material properties of the tower;

[0106] S513: Boundary conditions and loads: Determine the boundary conditions of the tower, such as fixed connection parts and site environmental conditions, including wind loads and deadweight loads;

[0107] S52: Mechanical Calculation

[0108] S521: Use CAE software to select appropriate materials and loading conditions;

[0109] S521: Apply preset loads such as wind pressure and weight to the tower according to the actual application environment, and perform static and dynamic analysis;

[0110] S53: Building an optimization model

[0111] S531: Select appropriate optimization algorithms, including genetic algorithm, particle swarm optimization, and simulated annealing algorithm;

[0112] S532: Determine design variables and set adjustable tower design parameters, such as wall thickness, cross-sectional shape, and material ratio;

[0113] S533: Stiffness, strength and stability analysis, setting stiffness, strength and stability as performance indicators in the optimization model to evaluate the impact of corresponding design variables on tower performance;

[0114] S6: Results Analysis

[0115] S61: Evaluate the optimization results to check whether they meet the design requirements;

[0116] S62: Analyze the optimized structural performance, such as stability, safety, and economy;

[0117] S7: Iterative Improvement

[0118] S71: If the result does not meet the requirements, return to the optimization calculation step for adjustment;

[0119] S72: multiple iterations until a satisfactory optimization result is achieved;

[0120] S8: Detailed design and manufacturing preparation

[0121] S81: Carry out detailed design for the optimized tower structure, including size, material selection, and connection method;

[0122] S82: Manufacturing preparation, such as mold selection and construction plan formulation;

[0123] S9: Test verification and adjustment

[0124] S91: Conduct physical model experiments on the optimized tower structure to verify whether the results of CAE analysis are accurate, including fatigue tests, static load tests, dynamic load tests, and wind tunnel tests to ensure that the performance of the tower under wind force meets the requirements;

[0125] S92: Make necessary adjustments based on the test results;

[0126] S10: Prepare design reports and related technical documents, ensure that all design parameters and calculation results are clearly recorded, and provide detailed technical support for project implementation.

[0127] Preferably, the CAE software used is any one or more of ABAQUS, ANSYS, Hypermesh, SolidWorks Simulation and COMSOL Multiphysics.

[0128] Preferably, the goals of the design project in S11 include but are not limited to lightweighting, improving stability and reducing costs.

[0129] Preferably, the constraints in S12 include but are not limited to safety requirements, construction difficulty and cost constraints.

[0130] Preferably, the basic structural forms of the tower in S31 include but are not limited to circular, square and super high-rise structures.

[0131] Preferably, the design parameters in S32 include but are not limited to structural dimensions and material thickness.

[0132] Preferably, the steps of the genetic algorithm in S531 are as follows:

[0133] (1) Define the optimization goal: First, the optimization goal needs to be clearly defined, such as minimizing the total mass or cost of the tower, or the structural stress under specific load conditions;

[0134] (2) Coding scheme: Define the coding method for the problem, such as tower cross-sectional dimensions and material selection. Real number coding or binary coding can be used.

[0135] (3) Select genetic operation:

[0136] Crossover operation: simulates sexual reproduction in nature and generates new candidate solutions by combining parts of two "chromosomes";

[0137] Mutation operation: simulate the mutation phenomenon in nature and randomly change individuals at certain sites to explore more possibilities;

[0138] (4) Evaluation function: Evaluate each individual according to the optimization goal to determine its fitness. The evaluation function needs to accurately reflect the design goal, usually by directly calculating the target value or a ratio.

[0139] (5) Termination condition: defines when the algorithm ends, such as when a predetermined maximum number of iterations is reached or when a satisfactory solution is found;

[0140] (6) Execute the genetic algorithm: loop through the selection, crossover, and mutation operations until the termination condition is met.

[0141] Preferably, the specific steps of particle swarm optimization in S531 are as follows:

[0142] (1) Initialization:

[0143] Set the parameters of the particle swarm algorithm: including the size of the particle swarm, the number of variables contained in each particle, the initial position and speed of the particle; determine the optimization goals, such as reducing material usage and improving the stability of wind turbines;

[0144] (2) Setting optimization constraints

[0145] Determine the boundary conditions of each particle's velocity and position to ensure that the particle's flight trajectory is within the legal range;

[0146] (3) Calculate initial fitness

[0147] Calculate the current fitness value of each particle, which is usually the minimum or maximum value of the objective function. In the optimization design of cement towers, common objective functions include cost, weight, and stability.

[0148] (4) Update personal extreme values ​​and global extreme values:

[0149] Compare each particle’s current fitness value with the best solution it has previously found;

[0150] Compare the current fitness values ​​of all particles to find the best solution globally;

[0151] (5) Update the speed and position of the particle. According to the fitness and extreme value conditions, the speed and position of each particle are updated according to the update formula of the PSO algorithm;

[0152] (6) Determine whether the stopping condition is met, check whether the maximum number of iterations has been reached, whether the fitness meets the preset accuracy requirements or other pre-set stopping conditions, and if the stopping condition is met, terminate the algorithm; if not, return to (4) and continue iterating;

[0153] (7) Output the optimal solution. When the algorithm terminates, the optimal solution found is output, that is, the position of the particle with the optimal fitness value, thereby obtaining the optimal design parameters of the cement tower.

[0154] Preferably, the steps of the simulated annealing algorithm in S531 are as follows:

[0155] (1) Initial solution: Select an initial structural design solution as a starting point, which can be generated randomly or set according to rules;

[0156] (2) Neighborhood search: Generate candidate solutions near the current solution;

[0157] (3) Migration probability: Calculate the energy difference between the current solution and the candidate solution, and calculate the migration probability based on this energy difference. If the candidate solution is better than the current solution, it is always accepted; if it is worse, it is accepted with a certain probability.

[0158] (4) Cooling process: As the “temperature” gradually decreases, the probability of accepting a worse candidate solution gradually decreases;

[0159] (5) Termination condition: The algorithm stops when the temperature drops to a certain threshold or the optimization reaches a certain number of rounds.

[0160] The method for assembling a wind turbine cement tower comprises the structural optimization design of the wind turbine cement tower as described above, and the steps are as follows:

[0161] Step 1: Confirm the specific model and installation requirements of the tower, including height, diameter, and connection method, provide safety training for relevant personnel, ensure that all tools and equipment are in good condition, and check the required material models and sizes according to the construction drawings;

[0162] Step 2: Transport the tower sections. Choose the appropriate transportation tool according to the size and shape of the tower. Use straps to fix the tower or take other measures to prevent the tower from deformation or damage during transportation.

[0163] Step 3: Unload the tower sections to the predetermined positions in order, measure and locate them, use a level or other tools to assist in measurement to ensure the verticality of the tower, and check whether there are cracks or other damages on the tower;

[0164] Step 4: Connect the tower sections. Use special connectors to connect the tower sections in the order required by the drawings. Check whether the connection parts are firm. Use tightening tools to reinforce them if necessary. If connected to the ground foundation, the foundation structure needs to be reinforced to ensure overall stability.

[0165] Step 5: For some large tower sections, concrete is required to be used for reinforcement at the joints. Concrete is poured according to standard operating procedures. After the concrete solidifies, the next part of the tower section can be installed.

[0166] Step 6: Tower top installation: After completing the connection of all tower sections and concrete pouring, install the tower top components such as the connection platform, connect the wind rotor blade inlet and other components;

[0167] Step 7: Install the tower lightning protection system, lighting equipment, monitoring equipment, and install appropriate lightning rods, lamps, temperature and vibration monitoring equipment according to the specific needs of the wind turbine;

[0168] Step 8: Clean up the construction site, ensure that all waste is properly disposed of, and conduct a final safety check on the entire tower to ensure that all components function properly;

[0169] Step 9: Conduct strict quality inspection on the entire assembly process to ensure that the design and safety requirements are met.

[0170] Through the above steps, by optimizing the structural design of the wind turbine cement tower, its bearing capacity and stability can be significantly improved, while reducing the vibration and noise during the operation of the wind turbine, making the wind power generation system more reliable and efficient, further reducing the cost of wind power generation, and improving the economic benefits of wind power generation projects to solve the problem that the tower design has not yet achieved the best effect in resisting the impact of wind pressure and other environmental factors, and is prone to accidents such as tilting or collapse in bad weather.

[0171] The embodiments of the present invention are described in detail above, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. Structural optimization design of wind turbine cement tower, characterized by: It includes the following: S1: Problem definition and goal setting S11: Clarify the goals of the design project; S12: Determine design constraints; S2: System analysis and parameter determination S21: Analyze the impact of wind load, heavy load, deadweight and earthquake on the cement tower of wind turbine; S22: Determine the load and boundary conditions of the tower according to the actual environment and usage conditions; S3: Concept design and preliminary design S31: Determine the basic structural form of the tower; S32: Determine the material type and design parameters through preliminary calculations; S4: Optimize goal setting S41: Identify the main optimization goal, such as reducing weight, increasing load-bearing capacity, or others; S42: Select appropriate optimization methods and algorithms, such as genetic algorithms or simulated annealing algorithms; S5: Optimize calculations and establish mathematical models S51: Establishing the mechanical model S511: Geometric modeling, using CAD software to build the geometric model of the wind turbine cement tower; S512: Material properties: Select an appropriate material model to describe the material properties of the tower; S513: Boundary conditions and loads: Determine the boundary conditions of the tower, such as fixed connection parts and site environmental conditions, including wind loads and deadweight loads; S52: Mechanical Calculation S521: Use CAE software to select appropriate materials and loading conditions; S521: Apply preset loads such as wind pressure and weight to the tower according to the actual application environment, and perform static and dynamic analysis; S53: Building an optimization model S531: Select appropriate optimization algorithms, including genetic algorithm, particle swarm optimization, and simulated annealing algorithm; S532: Determine design variables and set adjustable tower design parameters, such as wall thickness, cross-sectional shape, and material ratio; S533: Stiffness, strength and stability analysis, setting stiffness, strength and stability as performance indicators in the optimization model to evaluate the impact of corresponding design variables on tower performance; S6: Results Analysis S61: Evaluate the optimization results to check whether they meet the design requirements; S62: Analyze the optimized structural performance, such as stability, safety, and economy; S7: Iterative Improvement S71: If the result does not meet the requirements, return to the optimization calculation step for adjustment; S72: multiple iterations until a satisfactory optimization result is achieved; S8: Detailed design and manufacturing preparation S81: Carry out detailed design for the optimized tower structure, including size, material selection, and connection method; S82: Manufacturing preparation, such as mold selection and construction plan formulation; S9: Test verification and adjustment S91: Conduct physical model experiments on the optimized tower structure to verify whether the results of CAE analysis are accurate, including fatigue tests, static load tests, dynamic load tests, and wind tunnel tests to ensure that the performance of the tower under wind force meets the requirements; S92: Make necessary adjustments based on the test results; S10: Prepare design reports and related technical documents, ensure that all design parameters and calculation results are clearly recorded, and provide detailed technical support for project implementation.

2. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized in that: The CAE software used is any one or more of ABAQUS, ANSYS, Hypermesh, SolidWorks Simulation and COMSOL Multiphysics.

3. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized in that: The goals of the S11 design project include, but are not limited to, lightweighting, improving stability, and reducing costs.

4. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized in that: The constraints in S12 include but are not limited to safety requirements, construction difficulty and cost constraints.

5. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized in that: The basic structural forms of towers in S31 include but are not limited to circular, square and super high-rise structures.

6. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized in that: The design parameters in S32 include but are not limited to structural dimensions and material thickness.

7. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized in that: The steps of the genetic algorithm in S531 are as follows: (1) Define the optimization goal: First, the optimization goal needs to be clearly defined, such as minimizing the total mass or cost of the tower, or the structural stress under specific load conditions; (2) Coding scheme: Define the coding method for the problem, such as tower cross-sectional dimensions and material selection. Real number coding or binary coding can be used. (3) Select genetic operation: Crossover operation: simulates sexual reproduction in nature and generates new candidate solutions by combining parts of two "chromosomes"; Mutation operation: simulate the mutation phenomenon in nature and randomly change individuals at certain sites to explore more possibilities; (4) Evaluation function: Evaluate each individual according to the optimization goal to determine its fitness. The evaluation function needs to accurately reflect the design goal, usually by directly calculating the target value or a ratio. (5) Termination condition: defines when the algorithm ends, such as when a predetermined maximum number of iterations is reached or when a satisfactory solution is found; (6) Execute the genetic algorithm: loop through the selection, crossover, and mutation operations until the termination condition is met.

8. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized in that: The specific steps of particle swarm optimization in S531 are as follows: (1) Initialization: Set the parameters of the particle swarm algorithm: including the size of the particle swarm, the number of variables contained in each particle, the initial position and speed of the particle; determine the optimization goals, such as reducing material usage and improving the stability of wind turbines; (2) Setting optimization constraints Determine the boundary conditions of each particle's velocity and position to ensure that the particle's flight trajectory is within the legal range; (3) Calculate initial fitness Calculate the current fitness value of each particle, which is usually the minimum or maximum value of the objective function. In the optimization design of cement towers, common objective functions include cost, weight, and stability. (4) Update personal extreme values ​​and global extreme values: Compare each particle’s current fitness value with the best solution it has previously found; Compare the current fitness values ​​of all particles to find the best solution globally; (5) Update the speed and position of the particle. According to the fitness and extreme value conditions, the speed and position of each particle are updated according to the update formula of the PSO algorithm; (6) Determine whether the stopping condition is met, check whether the maximum number of iterations has been reached, whether the fitness meets the preset accuracy requirements or other pre-set stopping conditions, and if the stopping condition is met, terminate the algorithm; if not, return to (4) and continue iterating; (7) Output the optimal solution. When the algorithm terminates, the optimal solution found is output, that is, the position of the particle with the optimal fitness value, thereby obtaining the optimal design parameters of the cement tower.

9. The structural optimization design of the wind turbine cement tower according to claim 1 is characterized by: The steps of the simulated annealing algorithm in S531 are as follows: (1) Initial solution: Select an initial structural design solution as a starting point, which can be generated randomly or set according to rules; (2) Neighborhood search: Generate candidate solutions near the current solution; (3) Migration probability: Calculate the energy difference between the current solution and the candidate solution, and calculate the migration probability based on this energy difference. If the candidate solution is better than the current solution, it is always accepted; if it is worse, it is accepted with a certain probability. (4) Cooling process: As the "temperature" gradually decreases, the probability of accepting a worse candidate solution gradually decreases; (5) Termination condition: The algorithm stops when the temperature drops to a certain threshold or the optimization reaches a certain number of rounds.

10. A method for assembling a wind turbine cement tower, characterized in that The structural optimization design of the cement tower of a wind turbine generator according to claim 1 comprises the following steps: Step 1: Confirm the specific model and installation requirements of the tower, including height, diameter, and connection method, provide safety training for relevant personnel, ensure that all tools and equipment are in good condition, and check the required material models and sizes according to the construction drawings; Step 2: Transport the tower sections. Choose the appropriate transportation tool according to the size and shape of the tower. Use straps to fix the tower or take other measures to prevent the tower from deformation or damage during transportation. Step 3: Unload the tower sections to the predetermined positions in order, measure and locate them, use a level or other tools to assist in measurement to ensure the verticality of the tower, and check whether there are cracks or other damages on the tower; Step 4: Connect the tower sections. Use special connectors to connect the tower sections in the order required by the drawings. Check whether the connection parts are firm. Use tightening tools to reinforce them if necessary. If connected to the ground foundation, the foundation structure needs to be reinforced to ensure overall stability. Step 5: For some large tower sections, concrete is required to be used for reinforcement at the joints. Concrete is poured according to standard operating procedures. After the concrete solidifies, the next part of the tower section can be installed. Step 6: Tower top installation: After completing the connection of all tower sections and concrete pouring, install the tower top components such as the connection platform, connect the wind rotor blade inlet and other components; Step 7: Install the tower lightning protection system, lighting equipment, monitoring equipment, and install appropriate lightning rods, lamps, temperature and vibration monitoring equipment according to the specific needs of the wind turbine; Step 8: Clean up the construction site, ensure that all waste is properly disposed of, and conduct a final safety check on the entire tower to ensure that all components function properly; Step 9: Conduct strict quality inspection on the entire assembly process to ensure that the design and safety requirements are met.