134 results about "Wind regime" patented technology

A hybrid blade wind turbine device formed of at least a pair of straight outer airfoil blades, and a pair of inner helical wing blades, as supported for rotation within a safety protective cage structure, which wind turbine can be mounted in the vertical, horizontal, or other aligned operational positions. The inner helical half wing blades, being preferably somewhat shorter than the length of the outer airfoil blades, act to “regularize” the swirling wind regime flowing through the hybrid wind turbine, so as to maximize the efficiency of the outer airfoil blades. The helical half wing blades can be formed of individual segmented vane segments to provide improved operational capabilities for the overall hybrid wind turbine. To best harness annualized available wind conditions, the hybrid wind turbine can be customized, through modification of the number of vane segments, the selection of the specific shape of the outer airfoil blades, and the specific operational positioning of the outer airfoil blades. Alternatively, the helical half wing blades can be formed as generally smooth-walled blades.

A hybrid blade wind turbine device formed of at least a pair of straight outer airfoil blades, and a pair of inner helical wing blades, as supported for rotation within a safety protective cage structure, which wind turbine can be mounted in the vertical, horizontal, or other aligned operational positions. The inner helical half wing blades, being preferably somewhat shorter than the length of the outer airfoil blades, act to “regularize” the swirling wind regime flowing through the hybrid wind turbine, so as to maximize the efficiency of the outer airfoil blades. The helical half wing blades can be formed of individual segmented vane segments to provide improved operational capabilities for the overall hybrid wind turbine. To best harness annualized available wind conditions, the hybrid wind turbine can be customized, through modification of the number of vane segments, the selection of the specific shape of the outer airfoil blades, and the specific operational positioning of the outer airfoil blades. Alternatively, the helical half wing blades can be formed as generally smooth-walled blades.

The invention discloses an emergency blade collection method for a wind turbine generator. According to the method, the blade collection action of a wind turbine generator under the emergency working condition is achieved through nonconstant variable blade speeds. The method specifically comprises the steps that (1) a blade collection control program comprising different variable blade speeds and variable blade times corresponding to the different variable blade speeds is preestablished; and (2) and whether the working condition of the wind turbine generator meets the blade collection control program starting conditions or not is judged, if yes, the blade collection control program is executed, and if not, the working condition of the wind turbine generator is continuously monitored. The method further comprises a fault protection step. Through the preestablished blade collection control program, when the emergency shutdown working conditions are met, the blade collection action is conducted at the nonconstant variable blade speeds, impact on the wind turbine generator due to the resonance frequency of the wind regime and the wind turbine generator is reduced, the safety of the wind turbine generator during emergency shutdown is better ensured, the tower drum production cost is reduced, the safety performance of the wind turbine generator is improved, and a foundation for further enlargement of the wind turbine generator is laid.

The invention relates to a wind generating set control method. The wind generating set control method comprises the following steps: step 1, acquiring an estimated wind regime characteristic value and a wind generator running state initial value via a local or remote communication system; step 2, according to the estimated wind regime characteristic value, the wind generator running state initial value and a wind generating set control parameter, calculating a running state value of a wind generating set at each time point; step 3, comparing the running state values, obtained in step 2, of the wind generating set with a designed safety threshold value of the wind generating set; step 4, adopting an absorption power coefficient reduction and power output improvement method to obtain a corrected wind generating set control parameter; and step 5, using the wind generating set control parameter meeting the designed safety threshold value as a final execution parameter of a wind generator control system. With the adoption of the wind generating set control method, the response speed of the wind generating set is increased, and energy loss and mechanical load brought by shutdown are avoided.

The invention relates to an intelligent composite generation power source tower, in particular to an intelligent composite generation power source tower, which is used for a multi-wind regime and all-weather intelligent vertical shaft full wind regime generator set, and rectifies a natural wind by the combination of multi-machine in series and a rising heat airflow. The intelligent vertical shaft wind power generator multi-set is provided with three air inlet type sets: a horizontal wind inlet typed set, an upper air inlet typed set and a lower air inlet typed set, the multi-set is also called full wind regime wind power generator set. The invention is a wind-collecting and external rotor high-efficiency magnetic suspension wind power system, with the configuration of wind-collecting and rectifier suspension, vertical shaft multi-machine in series, low damping and direct drive system. The energy source tower is added with an intelligent wind collector and an intelligent wind collecting chamber on the basis of the generator set, can change the area and the angle of the wind collector and the height of a wind collecting chamber door according to the wind power, and greatly improves the utilization ratio of the wind energy; the multi-generator set configuration keeps working at all weather and working conditions (single machine with low wind speed and automatic parallel machine at high wind speed), keeps the maximum output of the rated power, and improves the efficiency and the benefit of a fan system. In a no-wind state, the energy tower can continue to generate power by a geothermy which is generated by solar energy, industrial residual heat and according to a chimney ventilation principle; high-pressure gas and water which are stored underground can be released in time so as to drive a turbomachine to generate the power, thus ensuring the balance of power supply.

The invention provides a crossing method and device for an overspeed failure of a wind generating set. The method comprises the following steps: acquiring the current wind regime data; judging whetherthe current wind regime is overproof gust or not according the current wind regime data; if not, judging whether the current rotating speed of the wind generating set is greater than or equal to a preset crossing rotating speed or not and judging whether the current variable pitch rate of the wind generating set is greater than or equal to a preset crossing variable pitch rate or not; if the current rotating speed is greater than or equal to the preset crossing rotating speed and the current variable pitch rate is greater than or equal to the preset crossing variable pitch rate, increasing the cut-out rotating speed within a second preset time period and controlling the wind generating set to carry out a variable pitch operation continuously; reducing the cut-out rotating speed in a second preset time period, and judging whether the current rotating speed of the wind generating set is greater than or equal to the cut-out rotating speed or not; and if the current rotating speed of thewind generating set is smaller than the cut-out rotating speed, controlling the wind generating set to operate according to the current state.

The invention relates to a megawatt wind power simulation test system which is applied to the simulation test of a wind power generation unit to be tested. A dragging motor is sequentially connected with a torque meter and a gear box, the gear box and a hub of a wind power generation unit to be tested are connected through a coupling, a wind regime simulation device is in signal connection with a wind power test control system, a second power converter is electrically connected with a generator of the wind power generation unit to be tested, and the wind power test control system is electrically connected with a power-grid power distribution cabinet, a test power transformer, an electric switch cabinet, a first total power converter, the dragging motor, the torque meter, the gear box, a pitch control system on the hub of the wind power generation unit to be tested, a yaw system of the wind power generation unit to be tested, a low-voltage through simulation device, the second power converter and a test checkout system. According to the invention, tests such as a total power test, a yaw test, a pitch control test, a grid-connected power generation test and the like of various wind power generation units in a large power range can be realized.

The invention discloses a wind power plant active output and unit fatigue comprehensive optimization control method. Wind turbine components under the active adjustment mode are subjected to DEL datamodeling, and complex terrain wind power plant optimization control is carried out based on a DEL data model; and the control strategy is a composite control strategy combining active optimizing intelligent distribution based on wind regime characteristic predicting and active auxiliary adjustment. Therefore, on one aspect, the wind power plant active adjustment and unit fatigue comprehensive optimization control method effectively reduces the production, manufacturing and maintaining cost of wind power generation equipment, and the problem about new energy power generation distributed grid connection utilization with the wind power generation equipment as a main body is solved; and on the other aspect, the wind power plant active adjustment and unit fatigue comprehensive optimization control method is suitable for a complex terrain wind power plant with the small wake flow effect.

The invention provides yaw control equipment of a wind driven generator set and a yaw control method of the wind driven generator set. The yaw control equipment of the wind driven generator set comprises a first obtaining unit, an optimizing unit, a second obtaining unit, a difference value determining unit and a yaw control unit. The first obtaining unit is used for obtaining historical wind regime data of the wind driven generator set within a preset time period; the optimizing unit is used for determining a yaw error angle threshold value and a time delay threshold value by a preset optimizing algorithm according to the historical wind regime data and a simulation model of the wind driven generator set; the second obtaining is used for obtaining the wind direction of the position wherethe wind driven generator set is located at and the position of a cabin of the wind driven generator set in real time; the difference value determining unit is used for determining the difference value between the wind direction and the position of the cabin; and the yaw control unit is used for controlling the yaw of the wind driven generator set when the difference value is greater than the yawerror angle threshold value and the duration exceeds the time delay threshold value. The equipment is an offline optimizing manner, so that the equipment is capable of adapting to more complicated wind field condition, flexible in utilization, strong in versatility and good in expandability.

An embodiment of the invention provides a wind turbine and a wind energy capturing method and device thereof. The method comprises the following steps: acquiring wind regime data in real time according to a preset cycle; carrying out scattered point fitting on the wind regime data acquired in the preset cycle to obtain a geometric central point of the wind regime data, wherein the geometric central point is used for showing the location of a maximum wind energy value; comparing the geometric central point to a target geometric central point; and carrying out a corresponding wind driven generator control strategy according to a comparison result. By the embodiment of the invention, wind energy capturing capability and reliability of the wind turbine can be improved effectively, meanwhile, fan load increasing and wake effects which are caused by the reason that an impeller does not face a windward side can be reduced, and faults and maintenance cost of the wind turbine are reduced.

The invention relates to a variable pitch blade and a wind turbine provided with the variable pitch blade. The variable pitch blade comprises at least two blade sections which are sequentially connected. At least one blade section can rotate around one axis. According to the above variable pitch blade, pitch angles can be changed by controlling the different blade sections so as to achieve local pitch changing of the variable pitch blade so that the variable pitch blade can obtain the highest wind energy absorbing efficiency under the conditions of the different wind speeds and the different rotating speeds, the problem that the overall variable pitch blade cannot obtain the optimal wind energy absorbing efficiency at different wind speeds and different rotating speeds is solved accordingly, the wind energy utilization rate of the wind turbine provided with the variable pitch blade is increased under the same wind regime condition, the generating capacity of the wind turbine is finally improved, and the resource utilization efficiency is improved.

The invention discloses a yaw control method and device for a wind generating set. The method includes the steps that a wind regime recognition method is adopted for judging whether the current wind direction type is a trend type wind direction type or a fluctuation type wind direction type; if the wind direction is a fluctuation type wind direction, under-yaw control is adopted when yaw is stopped; if the wind direction is a trend type wind direction, whether wind in the trend type wind direction is turn-around wind or not is judged; if yes, under-yaw control is adopted when yaw is stopped; if not, over-yaw control is adopted when yaw is stopped. According to the method, the wind direction is divided into the fluctuation type wind direction and the trend type wind direction, whether wind in the trend type wind direction is turn-around wind or not is judged, different yaw stop control modes are adopted in the wind directions of different types, accuracy of yaw towards wind is improved, the number of times of yaw of the wind generating set is reduced, the fault occurrence probability of the wind generating set is reduced, and the generating capacity of the wind generating set is improved.

The invention relates to a wind generating set simulation testing method. The wind generating set simulation testing method comprises the following steps of (A) loading a wind generating set model module and a communication module, connecting a main control system, and releasing the loaded modules and exiting if loading or connecting fails; (B) reading the main control parameters of the main control system, loading a wind regime model module, and proceeding with a step (D) if reading or loading fails; (C) running the wind generating set model module, writing adjusted parameters of the wind generating set model module into the main control system, proceeding with the step (D) if running of the model or reading fails or simulation stops, and observing running conditions if writing succeeds but a simulation stopping instruction is not received; (D) stopping running the system, disconnecting the connection with the main control system, releasing the communication module and the wind generating set model module, and exiting; (E) quitting the simulation testing system. The method reduces the number of the actual testing times of a wind generating set, shortens development time, and reduces cost and the running risks of the wind generating set.

The invention discloses a method for quantitative evaluation of an explosion accident consequence of a marine oil and gas platform. Dangerous source identification, explosion probability calculation, geometric model establishment, wind regime determination, leakage unit division, leakage position determination, leakage rate calculation, and leakage time calculation are carried out successively; and then accident simulation and consequence analysis are carried out and quantitative simulation is carried out on an explosion accident of a marine oil and gas platform, so that the accident risk can be reduced effectively and the data support can be provided. The method has the following beneficial effects: with reference from of theoretical researches and practical experience of marine oil and gas exploitation risk analyses at home and abroad, key techniques suitable for the heavy accident risk analysis and accident simulation of the marine platform are studied by considering the current risk situation of the Shengli shallow-sea platform and thus an explosion accident quantitative simulation analysis method of the national marine environment is provided, thereby providing the safety technique support for the continuous and stable marine oil and gas production and enabling the marine oil and gas development to become safe and economic in future.

The invention discloses an optimizing control method for uniform fatigue distribution of parts of a wind power station unit under active power regulation. DEL data modeling is conducted on the parts of the wind power unitunder an active power regulation mode, optimizing control over a wind power station with the complex terrain is conducted based on a DEL data model, the control strategy adopts anintelligent active power distribution strategy based on wind regime characteristic measurement, therefore, the optimizingcontrol method is suitable for the wind power station with the complex terrainand with the small wake effect; and by optimizing uniform fatigue distribution of the parts of the wind power station unit under active power regulation, the production-manufacturing and maintenancecosts of wind power generating equipment are reduced effectively, and the stability of a wind power generating system is improved.

The invention relates to a wind power plant yaw control method based on a wind process. The method comprises the following steps: 1, establishing a wind power plant simulation model; 2, acquiring operation state data of the wind power plant as an initial state of the wind power plant simulation model; 3, acquiring a wind speed fluctuation sequence and a wind direction fluctuation sequence of the wind power plant as the state of the wind power plant yaw control model; 4, performing off-line learning to obtain optimal yaw angle set values under different wind regime sequences; enabling the wind power plant yaw control model to observe the environment and guide a wind turbine generator to act, and completing online learning; the wind power plant yaw control model is established, the optimal yaw angle of each wind turbine generator in the wind power plant is obtained through the wind speed sequence and the wind direction sequence, and the total generated power of the wind power plant is greatly improved; and the timeliness requirement of solving the wind power plant yaw control model in practical engineering is met.

A floating type wind turbine generator ballast water control method based on wind power medium and long term prediction comprises the steps that firstly, based on historical meteorological data, long-term wind regime distribution and probability distribution of a wind power plant are obtained through a data processing and clustering algorithm; and predicting the wind condition by using historical weather and external forecast data and a random forest algorithm, and optimizing a ballast water control strategy and generating a wind power time sequence in combination with wave flow load calculation and unit attitude and load analysis. Measuring the position of the impeller of the unit in real time, determining an operation strategy by means of a neural network, and optimizing the attitude and load of the unit by using a particle swarm algorithm; a ballast water capacity range can be determined according to unit parameters and control system performance, a state space model is established, an optimization problem is solved, and a strategy is corrected. And finally, a ballast water system is adjusted through deep learning and feedback control, a real-time optimization model is constructed for cooperative control, and the unit stability and the power generation efficiency are improved.

The invention discloses a blade locking device applied to a wind electricity typhoon unit. The blade locking device applied to the wind electricity typhoon unit includes a locking plate and an electric locking mechanism, wherein the locking plate is installed between a blade bearing of the wind electricity typhoon unit and blade roots of the wind electricity typhoon unit, the main body of the locking plate is in a ring shape, a protrusion part extending to the direction of the circle center is arranged on the inner edge of the ring-shaped locking plate, the protrusion part is provided with a shaft sleeve, the electric locking mechanism includes a guide seat mounted on a hub web plate of the wind electricity typhoon unit and an electric push rod arranged in the guide seat, a guide hole is formed in the top end of the guide seat, and a fitting pin connected with the electric push rod in a drive mode is arranged in the guide hole; and when the blades are locked, the electric push rod pushes the fitting pin into the shaft sleeve of the locking plate. The blade locking form of the blade locking device is used for the wind electricity typhoon unit and capable of achieving higher lockingstrength, and the blade locking purpose is achieved effectively, safely and quickly under the complex and severe wind regime condition.

The invention belongs to the technical field of wind power generation, and discloses a wind power plant digital twin modeling system and a use method, the system comprises an equipment module, the equipment module comprises a biological bionic adaptive fan blade system, a quantum sensing network, a laser radar system, a high-resolution multi-modal imaging system and an intelligent autonomous flying robot group system; the network module comprises a 5G private network, a quantum communication network and an edge computing network; the data module comprises a distributed database system, a big data processing platform and an AI training platform; the AI module comprises a wind regime prediction model, a power prediction model, an equipment health state monitoring model and a self-adaptive control algorithm model; the application module comprises a digital twinborn visualization platform, a holographic mixed reality operation and maintenance system and an intelligent scheduling system. Modeling and intelligent management of the wind power plant can be realized, the power generation efficiency can be improved, the operation and maintenance cost can be reduced, and the service life of equipment can be prolonged.

The invention discloses a real wind regime and wind power generation simulation device with a wind shear and tower shadow effect. The real wind regime and wind power generation simulation device comprises a simulator control system and an electromechanical servo system, the simulator control system comprises a software system and a hardware system, the simulator control hardware system comprises an industrial personal computer and a data collecting card; the simulator control soft system comprises a wind speed generation model, a draught fan tip speed ratio estimation model, a draught fan pitch angle control model, a wind energy utilization coefficient model, a wind shear and tower shadow effect compensation model, a wind driven generator drive chain model and an induction generator model,the electromechanical servo system comprises a programmable controller, a direct current bus power module, a frequency conversion driving unit, a frequency conversion power generation unit, a drivingmotor, a loading motor, a rotating speed torque meter and a test bed. The real wind regime and wind power generation simulation device is used for the simulation of wind power generation process andresearch and application of wind power generation control strategy under laboratory environment.

The invention discloses a wind power cluster regulation and control method, system and device based on distributed calculation and a medium, and belongs to the technical field of wind power cluster regulation and control, and the method comprises the steps: obtaining the historical wind speed and wind direction data of each wind driven generator in a wind power cluster; calculating a wind condition correlation coefficient between any two wind driven generators; constructing a graph model of a wind power cluster; based on the clustering number, clustering wind power generators in the wind power cluster to obtain a plurality of wind power groups; on the basis of a wind power set, an optimization objective function is constructed in combination with resource constraint conditions of the distributed computing nodes, and a distribution strategy of the distributed computing nodes is determined through an optimization algorithm; and operation regulation and control of the wind power cluster are realized. According to the method, the wind regime correlation coefficient is introduced to construct the graph model, the wind regime correlation degree between the wind driven generators can be accurately reflected, and the physical reasonability of clustering division is improved. The clustering number is determined through graph feature similarity matching, and the problem that parameter setting depends on experience in a traditional clustering method is avoided.

The embodiment of the invention provides a yaw control method and a yaw control device for a wind turbine generator system. The control method comprises the following steps: acquiring the wind regimedata detected by an edge reference fan of a wind power plant and the wind regime data detected by the internal wind turbine generator system in the wind power plant; if the wind regime data of the edge reference fan is different from the wind regime data detected by the edge reference fan at the last moment, generating the yaw control data of the internal wind turbine generator system according tothe wind regime data of the edge reference fan and the wind regime data of the internal wind turbine generator system; and sending the yaw control data to a yaw control system of the internal wind turbine generator system. With the adoption of the technical scheme of the embodiment, the wind turbine generator system is controlled to carry out wind direction alignment or yaw, so that the wind energy utilization efficiency of wind turbine generators is increased.

The invention discloses a fan yaw cooperative control method and system for an offshore floating type wind power plant, and relates to the technical field of offshore wind power, and the method comprises the steps: constructing a digital twinborn body of the offshore floating type wind power plant, and obtaining a twinborn wind power plant; the method comprises the following steps: locally calling historical wind regime data, solving a yaw coordination strategy in a twin wind power plant based on the historical wind regime data, and constructing a reference coordination control library; accessing a far-end weather forecast center, and acquiring predicted wind regime data falling into a prediction time window; traversing the reference cooperative control library based on the predicted wind regime data, and outputting a reference cooperative yaw angle; taking the reference cooperative yaw angle as an initial point, performing yaw cooperative control optimization in the twin wind power plant according to the predicted wind regime data, and outputting a predicted cooperative yaw angle; and in the prediction time window, performing power generation intervention on the offshore floating type wind power plant according to the predicted cooperative yaw angle. Therefore, the technical effects of prospective power generation intervention and improvement of power generation efficiency and stability are achieved.

The invention provides a method and a device for predicting the residual life of a key structure position of a wind turbine generator. The method comprises the following steps: establishing a wind turbine generator digital mirror image model and a wind power plant external environment extrapolation digital mirror image model; performing combined simulation on the possible operation state of the wind turbine generator and the wind condition of the wind turbine generator, and extracting simulation results corresponding to the working conditions to establish a simulation result database; establishing a wind turbine generator site load database according to the site actual operation condition statistical data and possible wind regime data; performing equivalent fatigue load calculation analysis on the standard design load data and the site load data according to an equivalent fatigue load algorithm; and establishing a wind turbine generator key structure position residual life analysis model, and carrying out analysis calculation on the key structure position of a single generator and the residual life of the whole generator. According to the method and the device for predicting the residual life of the key structure position of the wind turbine generator, efficient and accurate online prediction analysis of the residual life of the wind turbine generator can be realized.

The invention relates to the field of sand protection and sand treatment, especially provide a method to weaken the suspension and elevation capability of sand, suppress the sand grains flowing and reduce the incidence rate of the sand storm. It is characterized in that: release and project conductive fiber 14, short wire 16 and conductive short yarn 18 which contains wire and conductive fiber on the desertification areas on their effective density. Process the metal sectional materials, wires and materials with surface of good conductibility to stereo reticulation and pave them in the desertification areas near the wind regime. It can neutralize or reduce the dominance charges resulting from the sand friction or collision caused by the strong wind, cyclone or electric field correspondingly. It also can suppress the reduction of sand friction factor caused by the electrostatic phenomenon and maintain the relative position under the sand gravity action to reduce the suspension and flowing ability of sand. The invention avianizes the action force of wind, cyclone or electric field on sand by weakening the repulsion, variance or suspension capability of sand, which is in favor of resolving the sand treatment problem ultimately.

The invention discloses a yaw control method and a related device, and relates to the field of wind power generation, and the yaw control method comprises the following steps: obtaining an original wind speed time sequence data set, an original wind direction time sequence data set and design parameters of a wind turbine generator, and calculating a yaw rate of the wind turbine generator based on the original wind speed time sequence data set and the original wind direction time sequence data set; obtaining a wind speed probability density function, a wind direction deviation probability density function and yaw control input data, determining initial yaw control parameters based on the wind speed probability density function, the wind direction deviation probability density function and the design parameters, and performing analogue simulation according to the yaw control input data and the initial yaw control parameters to obtain yaw control parameters. And determining a target yaw control parameter based on the simulation result and a preset multi-target constraint condition. According to the method, the difference of wind regimes of different wind power plants and the difference of wind turbine generators are considered, the two kinds of environmental condition data of the wind speed and the wind direction of the wind power plants are combined, the design parameters of the wind turbine generators are combined, and the target yaw control parameters are more adaptive to the wind turbine generators and the actual wind regimes.

The invention discloses a blade locking device applied to a wind electricity typhoon unit. The blade locking device applied to the wind electricity typhoon unit includes a locking plate and an electric locking mechanism, wherein the locking plate is installed between a blade bearing of the wind electricity typhoon unit and blade roots of the wind electricity typhoon unit, the main body of the locking plate is in a ring shape, a protrusion part extending to the direction of the circle center is arranged on the inner edge of the ring-shaped locking plate, the protrusion part is provided with a shaft sleeve, the electric locking mechanism includes a guide seat mounted on a hub web plate of the wind electricity typhoon unit and an electric push rod arranged in the guide seat, a guide hole is formed in the top end of the guide seat, and a fitting pin connected with the electric push rod in a drive mode is arranged in the guide hole; and when the blades are locked, the electric push rod pushes the fitting pin into the shaft sleeve of the locking plate. The blade locking form of the blade locking device is used for the wind electricity typhoon unit and capable of achieving higher lockingstrength, and the blade locking purpose is achieved effectively, safely and quickly under the complex and severe wind regime condition.

The invention provides a wind speed prediction method based on a valley fan, and relates to the field of wind speed monitoring, and the method comprises the steps: data collection: collecting historical meteorological data of a valley, the historical meteorological data comprises air pressure, temperature, humidity, wind direction, wind speed and solar radiation data, and collecting data at the same time interval; the beneficial effects of the invention are that the method is specially designed for the unique wind regime characteristics of the valley region, comprehensively considers the topographic data and various meteorological factors of the valley, such as air pressure, temperature, humidity, wind direction and the like, and employs advanced data processing and feature extraction technologies, thereby achieving the real-time monitoring of the valley region. According to the method, the complex change rule of the wind speed of the valley fan can be more accurately captured through the effective learning of the LSTM on the time sequence features and the CNN on the spatial features in the deep learning model, compared with a traditional prediction method, the prediction error is remarkably reduced, and more reliable data support is provided for the stable operation and efficient management of a wind power plant.

The invention relates to the technical field of dust monitoring, in particular to a dust monitoring method in a building construction process, which comprises the following steps: determining an initial dust core generation position under a windless condition according to dust concentration data acquired at a monitoring point; obtaining the deviation influence degree of unit wind power on the initial dust core generation position and wind direction angles corresponding to the monitoring points according to wind regime data obtained by the monitoring points, and fusing the wind direction angles in the horizontal direction and the vertical direction to obtain the horizontal fusion quantity and the vertical fusion quantity; adjusting the initial dust core generation position according to the horizontal fusion amount, the vertical fusion amount and the offset influence degree to obtain a target dust core generation position; according to the real-time dust concentration data at the target dust core generation position, obtaining real-time dust falling power data, and setting the power of the dust falling device as the real-time dust falling power data to perform dust falling operation on the target dust core generation position. Dust is removed from a dust generation source, and the dust removal effect is more remarkable.