Fine-grained wind measurement method during construction

Abstract

The present invention relates to the technical field of wind measurement, specifically a refined wind measurement method during construction, which includes the following steps. Based on the terrain data of the construction area, terrain data analysis is carried out through a geographic information system and a digital elevation model to identify and record the key terrain features that affect the wind flow pattern, calculate the potential impact of the spatial distribution of the terrain features on wind speed and wind direction, and obtain the terrain impact analysis result. In the present invention, by accurately identifying the key terrain features that affect the wind flow pattern at an early stage, more accurate prediction and simulation of the impact on wind speed and wind direction are carried out. The real-time updated wind field simulation results are directly used to guide the risk assessment and the adjustment of the construction plan, enhancing the flexibility and response speed of project management. It reduces the waste of resources and potential safety risks caused by estimation errors, ensures the simultaneous improvement of construction efficiency and safety, and optimizes the cost-benefit ratio of the entire project.

Description

Technical Field

[0001] The present invention relates to the technical field of wind measurement, and particularly to a refined wind measurement method during construction. Background Technique

[0002] The technical field of wind measurement involves obtaining and analyzing the speed and direction characteristics of wind. Wind measurement is crucial for the siting, design, and optimization of wind power plants. Technologies include ground-fixed meteorological towers that use anemometers and wind vanes for data collection, and among them, sodar and lidar technologies can perform remote wind speed and direction measurements at different heights above the ground. Data analysis methods include using statistical software and machine learning techniques to predict wind speed changes and optimize wind power generation efficiency, making wind measurement more accurate, contributing to the economic evaluation of wind power projects and minimizing environmental impacts.

[0003] Among them, the refined wind measurement method during construction is a high-precision wind measurement technology adopted during the construction of wind power plants. Its main purpose is to ensure the accurate acquisition of wind data during the construction stage, thereby optimizing the layout and configuration of wind turbines and predicting and reducing potential risks during construction. This method involves using higher-precision technologies and adopting data analysis and simulation technologies to ensure reliable wind data can be obtained at different construction stages, which is of great significance for ensuring construction safety, improving the final operation efficiency, and power generation capacity.

[0004] Traditional wind measurement methods lack sufficient flexibility and accuracy in the impact assessment of complex terrain on wind field simulation and risk management. Traditional wind measurement methods cannot comprehensively consider the specific impact of terrain on wind speed and direction during the data collection and analysis process, which leads to the neglect of certain key risk factors in the siting and design of wind power plants, affecting power generation efficiency and the long-term stability of the system. In addition, the risk prediction during the construction period of existing technologies is usually reactive rather than preventive, increasing the uncertainty and potential safety risks during the construction process. Summary of the Invention

[0005] The purpose of the present invention is to solve the deficiencies existing in the prior art and propose a refined wind measurement method during construction.

[0006] To achieve the above purpose, the present invention adopts the following technical solution: The refined wind measurement method during construction includes the following steps:

[0007] S1: Based on the terrain data of the construction area, perform terrain data analysis through a geographic information system and a digital elevation model, identify and record the key terrain features that affect the wind flow pattern, calculate the potential impact of the spatial distribution of terrain features on wind speed and direction, and obtain the terrain impact analysis result;

[0008] S2: Based on the terrain impact analysis result, evaluate the wind measurement positions, screen the target positions affected by wind flow, and obtain the equipment position evaluation result;

[0009] S3: Based on the equipment position evaluation result, select the target position to install the anemometer tower and lidar, collect the wind direction and wind speed data in real time, and organize the data according to the time series to obtain the wind power dataset;

[0010] S4: Based on the wind power dataset, simulate the wind field of the differential terrain through fluid dynamics simulation to obtain the wind field simulation result;

[0011] S5: Based on the wind field simulation result, combine the risk records in the construction log, calibrate the risk factors, classify the construction activities according to the differential risk levels, and update the log records according to the risk levels of the wind field simulation to obtain the risk assessment classification result;

[0012] S6: According to the risk assessment classification result, adjust the construction plan and the layout of wind turbines, use fluid dynamics simulation to verify the adjusted wind field data, and generate the construction and layout optimization plan.

[0013] As a further solution of the present invention, the terrain impact analysis result includes the spatial coordinates of key terrain features, the impact score of the terrain on the wind speed, and the impact score of the terrain on the wind direction. The equipment position evaluation result includes the geographical coordinates of the recommended installation points, the wind flow simulation efficiency score, and the selection basis. The wind power dataset includes the wind speed records sorted by time, the wind direction changes, and the data acquisition time points. The wind field simulation result includes the wind speed and wind direction simulation data, the simulation accuracy evaluation, and the wind field stability evaluation under the simulation scenario. The risk assessment classification result includes the risk level division, the list of key risk factors, and the risk control measures. The construction and layout optimization plan includes the adjusted construction schedule, the equipment layout diagram, and the verification result of the adjustment.

[0014] As a further solution of the present invention, based on the terrain data of the construction area, perform terrain data analysis through a geographic information system and a digital elevation model, identify and record the key terrain features that affect the wind flow pattern, calculate the potential impact of the spatial distribution of terrain features on the wind speed and wind direction, and the steps to obtain the terrain impact analysis result are as follows:

[0015] S101: Based on the terrain data of the construction area, import the original terrain data through the data import tool of the geographic information system, parse the data, and identify the key terrain features, including mountains and valleys, to obtain the terrain feature record;

[0016] S102: Based on the recorded terrain features, calculate the spatial positions of each key terrain feature and the influence of the key features on the surrounding area, including terrain height and slope, through a digital elevation model, to obtain a terrain spatial distribution map;

[0017] S103: Based on the terrain spatial distribution map, evaluate the influence of terrain features on wind speed and wind direction through a geographic information system, and calculate wind direction deviation and wind speed change to obtain a terrain influence analysis result.

[0018] As a further solution of the present invention, based on the terrain influence analysis result, the steps of evaluating the anemometry positions, screening target positions affected by the wind flow, and obtaining an equipment position evaluation result are specifically as follows:

[0019] S201: Based on the terrain influence analysis result, analyze the influence of terrain on wind direction and wind speed measurement, select multiple wind candidate positions, and generate a candidate position list;

[0020] S202: Based on the candidate position list, simulate the wind flow pattern at each candidate position, record the simulated data of wind speed and wind direction, and compare the simulated data with the actual terrain features to obtain a simulated output comparison result;

[0021] S203: Based on the simulated output comparison result and the candidate position list, screen the positions in the list, select the anemometry positions that match the actual terrain features, and optimize the reliability of wind power measurement data to obtain an equipment position evaluation result.

[0022] As a further solution of the present invention, based on the equipment position evaluation result, the steps of selecting a target position to install an anemometer tower and a lidar, collecting wind direction and wind speed data in real time, and sorting the data in a time series to obtain a wind power data set are specifically as follows:

[0023] S301: Based on the equipment position evaluation result, select a target wind power measurement location, conduct a field survey, identify the installation conditions of the ground at the location, install an anemometer tower and a lidar, verify the correct connection of the power supply and data communication equipment, and generate a record of the equipment installation location;

[0024] S302: Based on the equipment installation location record, adjust the anemometer tower and the lidar, configure the equipment to monitor wind direction and wind speed in real time, and automatically record data at a set time interval to obtain a real-time wind power data sequence;

[0025] S303: Based on the real-time wind power data sequence, conduct data screening and sorting in a time series, check the data integrity, and exclude data anomalies caused by equipment failures and environmental factors to obtain a wind power data set.

[0026] As a further solution of the present invention, based on the wind power dataset, the wind field of the differential terrain is simulated through hydrodynamic simulation, and the steps of obtaining the wind field simulation result are specifically as follows:

[0027] S401: Based on the wind power dataset, through hydrodynamic simulation technology, input the data range of wind speed and wind direction, set the initial conditions and boundary conditions of the simulation, run the simulation, evaluate the influence of the differential terrain on the wind field, and generate basic wind field simulation data;

[0028] S402: Based on the basic wind field simulation data, adjust the wind speed parameters and wind direction change parameters of the simulation, optimize the simulation conditions to match the target terrain influence, and iterate multiple times to optimize the accuracy and stability of the simulation, and obtain the optimized wind field simulation data;

[0029] S403: Based on the optimized wind field simulation data, conduct stability tests and accuracy evaluations, optimize the consistency between the simulation results and the actual wind field data, verify the reliability of the simulation results, and obtain the wind field simulation results.

[0030] As a further solution of the present invention, the hydrodynamic simulation technology is based on the formula:

[0031]

[0032] Calculate the velocity field at the next time step, where u i,t+1 is the velocity component in the i-th direction at the next time step, u i,t is the velocity component in the i-th direction at the current time step, Δt is the time step size, is the convection term of the velocity field, is the pressure gradient term, Y is the pressure, ρ is the air density, ν is the kinematic viscosity, is the diffusion term of the velocity field, β is the temperature influence coefficient, T is the actual temperature, T ref is the reference temperature.

[0033] As a further solution of the present invention, based on the wind field simulation result, combined with the risk records in the construction log, calibrate the risk factors, classify the construction activities according to the differential risk levels, and update the log records according to the risk levels of the wind field simulation to obtain the risk assessment classification result, and the steps are specifically as follows:

[0034] S501: Based on the wind field simulation result, summarize and screen the risk data recorded in the construction log, conduct data analysis and processing on each recorded risk point, extract the key risk factors, and obtain the risk point analysis record;

[0035] S502: Based on the risk point analysis record, apply a preset risk rating standard, and through a weighted risk assessment method, classify each risk point, calculate the risk value and classify it, and generate a risk level classification table;

[0036] S503: Based on the risk level classification table, sort out and update the construction log, correspond the risk level with the construction stage, and adjust the classification and arrangement of construction activities according to the level of risk, and generate a risk assessment classification result.

[0037] As a further solution of the present invention, the weighted risk assessment method is in accordance with the formula:

[0038] R = (P × w P ) × (I × w I ) × (C × w C )

[0039] Calculate the risk value, where R is the risk value, P is the probability of risk occurrence, w P is the probability weight, I is the impact degree of the risk, w I is the impact weight, C is the current effect of risk control, w C is the control weight.

[0040] As a further solution of the present invention, according to the risk assessment classification result, adjust the construction plan and the layout of wind turbines, use fluid dynamics simulation to verify the adjusted wind field data, and the steps of generating a construction and layout optimization plan are as follows:

[0041] S601: Based on the risk assessment classification result, review the existing construction plan, identify the key construction activities that need to be adjusted, formulate an adjustment strategy according to the risk level, and generate a basic adjustment plan;

[0042] S602: Based on the basic adjustment plan, optimize the layout of wind turbines, adjust the positions of different components, match multiple risk level areas, and predict the effect of position adjustment to obtain an optimized layout plan;

[0043] S603: Based on the optimized layout plan, through fluid dynamics simulation, simulate the impact of the adjusted wind field data on the performance of wind turbines, verify the effectiveness and adaptability of the plan, and obtain a construction and layout optimization plan.

[0044] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0045] In the present invention, by accurately identifying key topographical features that affect the air flow pattern at an early stage, more accurate prediction and simulation of the effects of wind speed and direction are carried out. By directly correlating topographical analysis with the assessment of wind measurement positions and equipment deployment, the efficiency and practicality of data collection are ensured. And through in-depth analysis of topographical features and continuous optimization of wind field simulation, the matching of the wind turbine layout with the actual wind conditions is ensured. Using the real-time updated wind field simulation results to directly guide risk assessment and adjustment of construction plans enhances the flexibility and response speed of project management. It reduces resource waste and potential safety risks caused by estimation errors, ensures the simultaneous improvement of construction efficiency and safety, and optimizes the cost-benefit ratio of the entire project. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the main steps of the present invention;

[0047] Figure 2 It is a refined schematic diagram of S1 of the present invention;

[0048] Figure 3 It is a refined schematic diagram of S2 of the present invention;

[0049] Figure 4 It is a refined schematic diagram of S3 of the present invention;

[0050] Figure 5 It is a refined schematic diagram of S4 of the present invention;

[0051] Figure 6 It is a refined schematic diagram of S5 of the present invention;

[0052] Figure 7 It is a refined schematic diagram of S6 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0053] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, in the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.

[0055] Example 1

[0056] Please refer to Figure 1 , the present invention provides a technical solution: a refined wind measurement method during construction, including the following steps:

[0057] S1: Based on the terrain data of the construction area, analyze the terrain data through a geographic information system and a digital elevation model, identify and record the key terrain features affecting the wind flow pattern, including the positions of mountains and valleys, calculate the potential impact of the spatial distribution of terrain features on wind speed and direction, and obtain the terrain impact analysis result;

[0058] S2: Based on the terrain impact analysis result, evaluate the proposed wind measurement positions, screen the target wind flow impact positions by comparing the simulated output of wind flow data and the actual terrain features at each position, and obtain the equipment position evaluation result;

[0059] S3: Based on the equipment position evaluation result, select the target position to install a wind measurement tower and lidar, collect wind direction and wind speed data in real time, and organize the data according to the time series to obtain a wind power dataset;

[0060] S4: Based on the wind power dataset, through fluid dynamics simulation, adjust the input parameters, including high and low wind speeds and wind direction changes, simulate the wind fields of different terrains, repeat the simulation process, optimize the stability and accuracy of the simulation results, and obtain the wind field simulation result;

[0061] S5: Based on the wind field simulation result, combined with the risk records in the construction log, calibrate the risk factors, classify the construction activities according to different risk levels, update the log records according to the risk level of the wind field simulation, and obtain the risk assessment classification result;

[0062] S6: According to the risk assessment classification result, adjust the construction plan and the layout of wind turbines, use fluid dynamics simulation to verify the adjusted wind field data, verify that the adjustment plan matches the actual wind conditions, and generate a construction and layout optimization plan.

[0063] The terrain impact analysis result includes the spatial coordinates of key terrain features, the impact score of terrain on wind speed, and the impact score of terrain on wind direction. The equipment position evaluation result includes the geographical coordinates of the recommended installation points, the wind flow simulation efficiency score, and the selection basis. The wind power dataset includes the wind speed records sorted by time, wind direction changes, and data collection time points. The wind field simulation result includes the wind speed and wind direction simulation data in the simulation scenario, the simulation accuracy evaluation, and the wind field stability evaluation. The risk assessment classification result includes the risk level division, the list of key risk factors, and risk control measures. The construction and layout optimization plan includes the adjusted construction schedule, equipment layout diagram, and verification results of the adjustment.

[0064] Please refer toFigure 2 , based on the terrain data of the construction area, analyze the terrain data through a geographic information system and a digital elevation model, identify and record the key terrain features that affect the air flow pattern, including the positions of mountains and valleys, calculate the potential impact of the spatial distribution of terrain features on wind speed and direction, and the steps to obtain the terrain impact analysis results are as follows:

[0065] S101: Based on the terrain data of the construction area, import the original terrain data through the data import tool of the geographic information system, parse the data, identify the key terrain features, including mountains and river valleys, and the process to obtain the terrain feature record is as follows;

[0066] S101: Based on the terrain data of the construction area, import the original terrain data through the data import tool of the geographic information system, and parse the data. This includes using a high-precision scanning device to obtain the original terrain data, and the data exists in the point cloud format, where each point contains the precise coordinates and height information of the ground. Convert the point cloud data into a more easily processed format, such as vector graphics. During the conversion process, identify the key terrain features, such as the ridge lines of mountains and the flow directions of river valleys, as well as other terrain faults. The identification of key features relies on the detection of terrain mutations, which is achieved by calculating the height differences between adjacent points, and obtain the terrain feature record, including the key feature points of the terrain and their attributes, such as terrain type and relative height.

[0067] S102: Based on the terrain feature record, calculate the spatial positions of each key terrain feature and the impact of the key features on the surrounding area, including terrain height and slope, through the digital elevation model, and the process to obtain the terrain spatial distribution map is as follows;

[0068] S102: Based on the terrain feature record, calculate the spatial positions of each key terrain feature and the impact of the key features on the surrounding area through the digital elevation model. Use the digital elevation model to perform three-dimensional modeling on each key terrain feature. The model calculation includes the three-dimensional coordinate transformation and elevation interpolation of the terrain to ensure the accuracy of the model in the geographical space. Analyze the model, calculate the specific impact of key terrain features such as mountains and river valleys on the height and slope of the surrounding terrain. The calculation formula used in this process is: "Result = height difference of terrain feature points / number of terrain points + terrain slope * influence coefficient". After the calculation is completed, form a terrain spatial distribution map, which shows the key terrain features and their specific impacts on the surrounding area, such as height changes and slope adjustments.

[0069] S103: Based on the terrain spatial distribution map, evaluate the impact of terrain features on wind speed and direction through the geographic information system, and calculate the wind direction deviation and wind speed change, and the process to obtain the terrain impact analysis result is as follows;

[0070] S103: Based on the terrain spatial distribution map, through the Geographic Information System (GIS), evaluate the impact of terrain features on wind speed and direction, and calculate the wind direction deviation and wind speed change. By inputting the terrain spatial distribution map data, the GIS uses the data for meteorological modeling to evaluate the impact of specific terrains such as mountains and river valleys on local airflows. The calculation of wind direction and wind speed is based on the airflow disturbance model caused by the terrain and is described by the following formula: "Adjusted wind speed = Original wind speed + Wind speed change amount (terrain height, terrain slope)". The wind direction deviation is also calculated, considering the blocking and channel effects of the terrain. After the calculation, the terrain impact analysis result is obtained, which reflects the specific impact of the terrain on wind direction and wind speed and helps the construction and planning departments optimize the design.

[0071] Please refer to Figure 3 , based on the terrain impact analysis result, evaluate the proposed wind measurement locations. By comparing the simulated output of the wind flow data at each location with the actual terrain features, the steps to screen the target wind flow impact locations and obtain the equipment location evaluation result are as follows:

[0072] S201: Based on the terrain impact analysis result, analyze the impact of the terrain on wind direction and wind speed measurement. The process of selecting multiple wind candidate locations and generating a candidate location list is as follows:

[0073] S201: Based on the terrain impact analysis result, analyze the impact of the terrain on wind direction and wind speed measurement. According to the relationship between terrain features and wind speed and direction, using the obtained terrain impact analysis result, determine which terrain features may have a greater impact on wind speed and direction measurement. Based on the impact, select multiple geographical locations as candidate locations for wind speed measurement. These candidate locations need to meet the condition of minimizing the terrain impact to ensure the accuracy of wind speed measurement. The calculation formula used in the selection process is: "Impact value = Terrain height difference / Number of terrain points + Terrain slope * Terrain impact coefficient". According to the calculation result of the impact value, generate a list containing multiple wind candidate locations.

[0074] S202: Based on the candidate location list, simulate the wind flow pattern at each candidate location, record the simulated data of wind speed and direction, and compare the simulated data with the actual terrain features. The process of obtaining the simulated output comparison result is as follows:

[0075] S202: Based on the candidate location list, simulate the air flow patterns at each candidate location. By calculating the dynamic model of the air flow, simulate the wind speed and wind direction at each candidate location. The simulation process needs to utilize digital elevation model data, terrain feature data, as well as the wind speed change and wind direction offset data in the terrain impact analysis results to conduct a detailed air flow simulation. The calculation formula in the simulation is: "simulated wind speed = terrain height * wind speed change coefficient + terrain slope * wind direction offset coefficient". Record the simulated wind speed and wind direction data at each candidate location, and compare the data with the actual terrain features to obtain the simulation output comparison result.

[0076] S203: Based on the simulation output comparison result and the candidate location list, screen the locations in the list to select the wind measurement locations that match the actual terrain features, optimize the reliability of the wind measurement data. The process to obtain the equipment location evaluation result is as follows;

[0077] S203: Based on the simulation output comparison result and the candidate location list, screen the locations in the list. The purpose of the screening process is to select the wind measurement locations that best match the actual terrain features to optimize the reliability of the wind measurement data. During the screening process, the factors considered include the deviation degree between the simulated data of wind speed and wind direction and the actual terrain features, as well as the potential impact of the terrain on wind measurement. The screening formula is: "matching degree = (simulated wind speed - actual wind speed) / (simulated wind direction - actual wind direction)". By calculating the matching degree of each location, select those locations with the highest matching degree to obtain the equipment location evaluation result.

[0078] Please refer to Figure 4 , based on the equipment location evaluation result, select the target location to install the wind measurement tower and lidar, collect the wind direction and wind speed data in real time, and organize the data according to the time series. The steps to obtain the wind power data set are as follows:

[0079] S301: Based on the equipment location evaluation result, select the target wind measurement location, conduct on-site investigation, identify the installation conditions on the ground at the location, install the wind measurement tower and lidar, and verify the correct connection of the power supply and data communication equipment. The process to generate the equipment installation location record is as follows;

[0080] S301: Based on the equipment location evaluation result, select the target wind measurement location and conduct on-site investigation. Carefully identify the ground conditions at the selected location to ensure that the terrain and geological conditions are suitable for installing the wind measurement tower and lidar. During the identification process, it is necessary to consider the ground firmness, flatness, and the potential impact of surrounding vegetation and buildings on wind direction and wind speed measurement. After confirming that the location conditions meet the requirements, install the wind measurement tower and lidar. It is necessary to verify the correct connection of the power supply and data communication equipment to ensure the normal operation of the equipment. Generate the equipment installation location record, which includes detailed coordinates of the location, equipment model, installation date and other information.

[0081] S302: The process of obtaining the real-time wind power data sequence is as follows: Based on the equipment installation location record, adjust the anemometer tower and lidar, configure the equipment to monitor the wind direction and speed in real time, and automatically record data at set time intervals.

[0082] S302: Based on the equipment installation location record, adjust the anemometer tower and lidar, and configure the equipment to monitor the wind direction and speed in real time. The equipment adjustment process needs to ensure measurement accuracy and stable data transmission. Specific adjustments include the angle and height of the anemometer tower, as well as the scanning frequency and direction of the lidar. The equipment automatically records the wind direction and speed data at set time intervals. During the recording of these data, the following formula is applied for data processing and quality assessment: "Real-time wind speed = Standard wind speed / (1 + Measurement error ratio)". Through this formula, the wind speed data is calibrated in real time to ensure data accuracy, and the real-time wind power data sequence is obtained.

[0083] S303: The process of obtaining the wind power data set is as follows: Based on the real-time wind power data sequence, perform data screening and sorting in time series, check data integrity, and exclude data anomalies caused by equipment failures and environmental factors.

[0084] S303: Based on the real-time wind power data sequence, perform data screening and sorting in time series. Sort the data in chronological order and check whether each record in the data is complete. Identify and exclude abnormal data caused by equipment failures or environmental factors. The calculation formula used in this process is: "Data integrity = Actual number of records / Number of records that should be recorded". Evaluate the data integrity through the formula. After excluding the anomalies, organize the obtained wind power data set, which includes the screened and sorted wind speed and wind direction data, providing a basis for subsequent analysis and application.

[0085] Please refer to Figure 5 , based on the wind power data set, through fluid dynamics simulation, adjust the input parameters, including high and low wind speeds and wind direction changes, to simulate the wind field of different terrains, repeat the simulation process, and optimize the stability and accuracy of the simulation results. The steps to obtain the wind field simulation results are as follows:

[0086] S401: The process of generating the basic wind field simulation data is as follows: Based on the wind power data set, through fluid dynamics simulation technology, input the data range of wind speed and wind direction, set the initial conditions and boundary conditions of the simulation, run the simulation, and evaluate the impact of different terrains on the wind field.

[0087] S401: Based on the wind power dataset, through hydrodynamic simulation technology, input the data range of wind speed and wind direction. This involves setting the initial conditions of the simulation, such as the starting wind speed and wind direction of the simulated wind field, as well as the terrain feature data of the simulated area. The boundary conditions are set based on the surrounding terrain and meteorological conditions to ensure the naturality and coherence of the simulation. During the process of running the simulation, according to the input wind speed and wind direction range, gradually calculate the behavior and changes of the air flow under different terrain conditions, evaluate the influence of different terrains on the wind field, and generate basic wind field simulation data.

[0088] The hydrodynamic simulation technology, according to the formula:

[0089]

[0090] Calculate the velocity field at the next time step, where, u i,t+1 is the velocity component in the i-th direction at the next time step, u i,t is the velocity component in the i-th direction at the current time step, Δt is the time step size, is the convection term of the velocity field, representing the divergence of the product of each velocity component, is the pressure gradient term, Y is the pressure, ρ is the air density, ν is the kinematic viscosity, representing the viscous resistance of the fluid, is the diffusion term of the velocity field, representing the Laplacian operation of the velocity component in the i-th direction, β is the temperature influence coefficient, T is the actual temperature, T ref is the reference temperature.

[0091] The specific execution process of the formula is as follows:

[0092] Determine the initial conditions and boundary conditions, including the initial velocity component u i,t of the flow field and the environmental temperature T, perform iterative calculations for each grid point, calculate the convection term describing the self-transport characteristics of the velocity field. Calculate the pressure gradient term describing the influence of pressure change on the fluid velocity, calculate the diffusion term representing the spatial distribution of the velocity component under viscous effects, considering the temperature influence, calculate the temperature difference T - T ref and multiply it by the coefficient β, introducing the additional influence of temperature change on fluid motion, combine the calculated results, and multiply by the time step size Δt, subtract the obtained value from the current velocity component u i,t to update the velocity component of each grid point to obtain u i,t+1 .

[0093] S402: The process of obtaining the optimized wind field simulation data is as follows: Based on the basic wind field simulation data, adjust the simulated wind speed parameters and wind direction change parameters, optimize the simulation conditions to match the influence of the target terrain, and iterate multiple times to optimize the accuracy and stability of the simulation.

[0094] S402: Based on the basic wind field simulation data, adjust the simulated wind speed parameters and wind direction change parameters. The purpose of the adjustment is to make the simulation conditions better match the actual influence of the target terrain. During multiple iterations, continuously optimize the simulation parameters to improve the accuracy and stability of the simulation. During the adjustment process, the formula is applied:

[0095] "Optimized wind speed = basic wind speed * wind speed adjustment coefficient + terrain influence adjustment coefficient". Through the adjustment coefficient, accurately control the wind speed and wind direction parameters, so as to obtain the optimized wind field simulation data.

[0096] S403: The process of obtaining the wind field simulation results is as follows: Based on the optimized wind field simulation data, conduct stability tests and accuracy evaluations, optimize the consistency between the simulation results and the actual wind field data, and verify the reliability of the simulation results.

[0097] S403: Based on the optimized wind field simulation data, conduct stability tests and accuracy evaluations. Compare the simulation data with the actually observed wind field data to evaluate the consistency between the two. The stability test focuses on the fluctuation degree of the simulation results under different conditions, while the accuracy evaluation focuses on the closeness between the simulation results and the actual data. The formula "simulation accuracy = (1 - |simulated wind speed - measured wind speed| / measured wind speed) * 100%" is used during the evaluation process. Through the formula, verify the reliability of the simulation results to obtain the wind field simulation results.

[0098] Please refer to Figure 6 , based on the wind field simulation results, combined with the risk records in the construction log, conduct risk factor calibration, classify construction activities according to different risk levels, and update the log records according to the risk levels of the wind field simulation to obtain the risk assessment classification results. The specific steps are as follows:

[0099] S501: The process of obtaining the risk point analysis record is as follows: Based on the wind field simulation results, summarize and screen the risk data recorded in the construction log, conduct data analysis and processing on each recorded risk point, and extract key risk factors.

[0100] S501: Based on the wind field simulation results, summarize and filter the risk data recorded in the construction log. Extract the risk records related to the wind field from the construction log, such as events of equipment damage or construction delay caused by excessive wind speed or sudden change of wind direction. Conduct data analysis and processing on each recorded risk point, which includes evaluating the frequency of risk occurrence, severity, and possible impact scope. Through analysis, extract key risk factors, such as excessive wind speed and unstable wind direction. During the extraction process, use the formula: "Key risk value = number of times of excessive wind speed * wind speed impact coefficient + number of times of unstable wind direction * wind direction impact coefficient" to obtain the risk point analysis record.

[0101] S502: Based on the risk point analysis record, apply the preset risk rating criteria. Through the weighted risk assessment method, classify each risk point, calculate the risk value and classify it. The process of generating the risk level classification table is as follows;

[0102] S502: Based on the risk point analysis record, apply the preset risk rating criteria. Through the weighted risk assessment method, classify each risk point. Determine the weight of each risk factor, then calculate the total risk value of each risk point, and classify it according to the level of the risk value to generate the risk level classification table.

[0103] The weighted risk assessment method is calculated according to the formula:

[0104] R=(P×w P )×(I×w I )×(C×w C )

[0105] Calculate the risk value, where R is the risk value, P is the probability of risk occurrence, w P is the probability weight, I is the impact degree of the risk, w I is the impact weight, C is the current effect of risk control, w C is the control weight.

[0106] The specific execution process of the formula is as follows:

[0107] Conduct a detailed analysis of the data of each risk point, calculate the probability P of risk occurrence, the impact degree I, and the control effect C. For different types of risk points, assign weights w P , w I , and w C . The determination of the weights is based on historical data analysis and expert evaluation to ensure that the weights reflect the actual influence. Multiply each factor by its corresponding weight and multiply all the weighted values together to obtain the comprehensive risk value R of each risk point, which takes into account the actual effect of risk control, provides a more comprehensive risk assessment, and makes the risk level classification more accurate and practical.

[0108] S503: Based on the risk - level classification table, organize and update the construction log, correlate the risk level with the construction stage, and adjust the classification and arrangement of construction activities according to the high - low risk level. The process for generating the risk - assessment classification result is as follows;

[0109] S503: Based on the risk - level classification table, organize and update the construction log. This includes correlating the risk level of each risk point with the construction stage, and according to the high - low risk level, adjusting the classification and arrangement of construction activities. It is necessary to adjust the construction strategy based on the risk level to ensure that risk - reduction measures are taken during high - risk periods. The formula used during the organization process is: "Construction adjustment coefficient = Risk level * Risk impact adjustment coefficient". Optimize the construction plan through this formula to generate the risk - assessment classification result.

[0110] Please refer to Figure 7 , according to the risk - assessment classification result, adjust the construction plan and the layout of wind turbines, use fluid - dynamics simulation to verify the adjusted wind - field data, verify that the adjustment plan matches the actual wind conditions. The steps for generating the construction and layout optimization plan are as follows:

[0111] S601: Based on the risk - assessment classification result, review the existing construction plan, identify the key construction activities that need to be adjusted, and formulate adjustment strategies according to the risk level. The process for generating the basic adjustment plan is as follows;

[0112] S601: Based on the risk - assessment classification result, review the existing construction plan. By identifying the key construction activities in the construction plan that are greatly affected by the risk level, such as equipment installation in high - risk areas or outdoor operations during high - wind - speed periods. According to the risk level, formulate corresponding adjustment strategies, such as adjusting to indoor operations or using reinforcement measures during high - risk periods. The formula used in the calculation process is: "Adjustment requirement = Risk level * Sensitivity of key activities". Determine which activities need to be adjusted first according to this formula to generate the basic adjustment plan.

[0113] S602: Based on the basic adjustment plan, optimize the layout of wind turbines, adjust the positions of differential components, match multiple risk - level areas, and predict the effect of position adjustment. The process for obtaining the optimized layout plan is as follows;

[0114] S602: Optimize the layout of the wind turbine based on the basic adjustment plan. This includes adjusting the positions of differentiated components to match the characteristics of various risk-level areas. For example, place more wind-resistant components in high-risk areas and components that require regular maintenance in low-risk areas. Predict the effect of the position adjustment to ensure that each adjusted position can maximize the utilization of wind energy while reducing risks. The calculation formula is: "Position adjustment effect = (predicted wind speed - measured wind speed) / measured wind speed * position adjustment coefficient". Evaluate the adjusted layout plan through this formula to obtain the optimized layout plan.

[0115] S603: Based on the optimized layout plan, simulate the impact of the adjusted wind field data on the performance of the wind turbine through computational fluid dynamics to verify the effectiveness and adaptability of the plan. The process for obtaining the construction and layout optimization plan is as follows;

[0116] S603: Based on the optimized layout plan, simulate the impact of the adjusted wind field data on the performance of the wind turbine through computational fluid dynamics. This includes calculating the specific impact of the adjusted wind field on the output power and stability of the wind turbine. Verify the effectiveness and adaptability of the plan through simulation to ensure that the wind turbine can operate efficiently and adapt to environmental conditions of different risk levels in the new layout. The calculation formula used in the simulation is: "Performance impact = wind speed after wind field adjustment / reference wind speed * wind turbine adaptation coefficient". According to this formula, obtain the construction and layout optimization plan.

[0117] The above are only the preferred embodiments of the present invention and do not limit the present invention in other forms. Any person skilled in the relevant art may use the disclosed technical content to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. Based on the refined wind measurement method during construction, it is characterized in that It includes the following steps: S1. Based on the terrain data of the construction area, analyze the terrain data through a geographic information system and a digital elevation model, identify and record the key terrain features that affect the air flow pattern, calculate the influence of the spatial distribution of the terrain features on the wind speed and direction, and calculate the wind direction deviation and wind speed change to obtain the terrain influence analysis result; the key terrain features include mountains and valleys; S2. Based on the terrain influence analysis result, evaluate the wind measurement positions, screen the target air flow influence positions to obtain the equipment position evaluation result: based on the terrain influence analysis result, analyze the influence of the terrain on the wind direction and wind speed measurement, select multiple wind candidate positions, and generate a candidate position list; Based on the candidate position list, simulate the air flow pattern at each candidate position, record the simulated data of the wind speed and direction, and compare the simulated data with the actual terrain features to obtain the simulated output comparison result; Based on the simulated output comparison result and the candidate position list, screen the positions in the list, select the wind measurement positions that match the actual terrain features, optimize the reliability of the wind power measurement data, and obtain the equipment position evaluation result; S3. Based on the equipment position evaluation result, select the target position to install a wind measurement tower and a lidar, collect the wind direction and wind speed data in real time, and organize the data in a time series to obtain a wind power data set; S4. Based on the wind power data set, simulate the wind field of the differential terrain through fluid dynamics simulation technology to obtain the wind field simulation result: input the data range of the wind speed and direction, set the initial conditions and boundary conditions of the simulation, run the simulation, evaluate the influence of the differential terrain on the wind field, and generate the basic wind field simulation data; Based on the basic wind field simulation data, adjust the wind speed parameters and wind direction change parameters of the simulation, optimize the simulation conditions to match the target terrain influence, and iterate multiple times to optimize the accuracy and stability of the simulation to obtain the optimized wind field simulation data; Based on the optimized wind field simulation data, conduct a stability test and accuracy evaluation, optimize the consistency between the simulation result and the actual wind field data, verify the reliability of the simulation result, and obtain the wind field simulation result; Fluid dynamics simulation technology, according to the formula: Calculate the velocity field at the next time step, where is the velocity component in the -th direction at the next time step, is the velocity component in the -th direction at the current time step, is the time step size, is the convection term of the velocity field, is the pressure gradient term, is the pressure, is the air density, is the kinematic viscosity, is the diffusion term of the velocity field, is the temperature influence coefficient, is the actual temperature, is the reference temperature; S5. Based on the wind field simulation result, combined with the risk records in the construction log, calibrate the risk factors, classify the construction activities according to the differential risk levels, and update the log records according to the risk levels of the wind field simulation to obtain the risk assessment classification result; S6. According to the risk assessment classification result, adjust the construction plan and the layout of the wind turbines, and use fluid dynamics simulation to verify the adjusted wind field data to generate a construction and layout optimization plan.

2. The refined wind measurement method based on the construction period according to claim 1, characterized in that The terrain impact analysis results include the spatial coordinates of key terrain features, the impact score of terrain on wind speed, and the impact score of terrain on wind direction. The equipment location evaluation results include the geographical coordinates of the recommended installation points, the wind flow simulation efficiency score, and the selection basis. The wind power dataset includes the time-ordered wind speed records, wind direction changes, and data collection time points. The wind field simulation results include the wind speed and wind direction simulation data under the simulated scenario, the simulation accuracy evaluation, and the wind field stability evaluation. The risk assessment classification results include the risk level classification, the list of key risk factors, and the risk control measures. The construction and layout optimization plan includes the adjusted construction schedule, the equipment layout diagram, and the verification results of the adjustment.

3. The refined wind measurement method based on the construction period according to claim 1, characterized in that, Based on the equipment location evaluation results, select the target location to install the wind measurement tower and lidar, collect the wind direction and wind speed data in real time, and organize the data in time series to obtain the wind power dataset. The specific steps are as follows: Based on the equipment location evaluation results, select the target wind measurement site, conduct on-site surveys, identify the installation conditions of the site ground, install the wind measurement tower and lidar, verify the correct connection of the power supply and data communication equipment, and generate the equipment installation site record. Based on the equipment installation site record, adjust the wind measurement tower and lidar, configure the equipment to monitor the wind direction and wind speed in real time, and automatically record the data at the set time intervals to obtain the real-time wind power data sequence. Based on the real-time wind power data sequence, conduct data screening and sorting in time series, check the data integrity, and exclude the data anomalies caused by equipment failures and environmental factors to obtain the wind power dataset.

4. The refined wind measurement method based on the construction period according to claim 1, characterized in that Based on the wind field simulation results, combined with the risk records in the construction log, conduct risk factor calibration, classify the construction activities according to the differentiated risk levels, and update the log records according to the risk levels of the wind field simulation to obtain the risk assessment classification results. The specific steps are as follows: Based on the wind field simulation results, summarize and screen the risk data recorded in the construction log, conduct data analysis and processing on each recorded risk point, and extract the key risk factors to obtain the risk point analysis record. Based on the risk point analysis record, apply the preset risk rating standard, and through the weighted risk assessment method, classify each risk point, calculate the risk value and conduct classification to generate the risk level classification table. Based on the risk level classification table, organize and update the construction log, correspond the risk levels to the construction stages, and adjust the classification and arrangement of the construction activities according to the high and low risk levels to generate the risk assessment classification results.

5. The refined wind measurement method based on the construction period according to claim 4, characterized in that The weighted risk assessment method is calculated according to the formula: Calculate the risk value, where is the risk value, is the probability of the risk occurring, is the probability weight, is the impact degree of the risk, is the impact weight, is the current effect of risk control, is the control weight.

6. The refined wind measurement method based on the construction period according to claim 1, characterized in that, According to the risk assessment classification results, adjust the construction plan and the layout of wind turbines, and use the fluid dynamics simulation to verify the adjusted wind field data. The specific steps to generate the construction and layout optimization plan are as follows: Based on the risk assessment classification results, review the existing construction plan, identify the key construction activities that need to be adjusted, and formulate adjustment strategies according to the risk levels to generate the basic adjustment plan. Based on the basic adjustment plan, optimize the layout of the wind turbines, adjust the positions of differentiated components, match multiple risk level areas, and predict the effects of the position adjustment to obtain the optimized layout plan. Based on the optimized layout plan, through hydrodynamic simulation, simulate the impact of the adjusted wind field data on the performance of wind turbines, verify the effectiveness and adaptability of the plan, and obtain the construction and layout optimization plan.

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