19 results about "Wind strength" patented technology

The invention relates to the technical field of photovoltaic supports, in particular to a photovoltaic panel support with an adjustable installation angle. The invention aims to solve the problems that a photovoltaic bracket in the prior art is easy to damage when being impacted by strong wind, and a photovoltaic panel is rotated to be in a horizontal state when the photovoltaic bracket faces a strong wind environment, so that the sunlight receiving efficiency of the photovoltaic bracket is obviously reduced. Comprising an adjusting frame and further comprises a detection mechanism, and the detection mechanism is arranged on the upper side of the adjusting frame. Through the design of the detection mechanism, when strong wind impacts the detection box, the detection box can rotate with the connecting position of the frame as the circle center according to the wind direction of the strong wind, so that the first air guide frame moves, and the detection mechanism can make the locking mechanism move according to the detection result, so that a gap is generated between the rectangular frame and the frame; strong wind passes through the gap between the rectangular frame and the frame, so that the frame and the rectangular frame are prevented from being impacted by the strong wind to greatly shake or directly crack, and the wind resistance strength of the photovoltaic panel support is effectively improved.

This application relates to the field of unmanned aerial vehicle (UAV) control technology, and discloses a flight control method, device, program, and storage medium for an inspection UAV. The method includes: stacking standard operating condition time-series data of the UAV under the current environment based on a sliding time window to output a multi-dimensional disturbance perception matrix to determine the core feature set of the UAV; determining the surrounding wind intensity category under the current environment by combining a preset feature threshold set; if it is a strong wind, determining the actual disturbance torque vector based on the core feature set and a preset torque data table; determining a feedforward flight compensation vector based on a preset dynamic model and the actual disturbance torque vector; generating a feedback correction vector based on the multi-dimensional disturbance perception matrix, a preset basic neural network model, a preset expected disturbance torque vector, the core feature set, the actual disturbance torque vector, and a feedback control algorithm; and controlling the UAV flight based on the feedforward flight compensation vector and the feedback correction vector. This application can improve the UAV's resistance to strong wind interference.

The invention relates to a system (2) for ascertaining prediction data. The system (2) has a floating unit (4) and a remote base unit (6). The floating unit (4) has a coupling unit (8), a floating hose (10) and a detection system (12). A first end (14) of the floating hose (10) is connected to the coupling unit (8). The detection system (12) is designed to detect, as actual arrangement, a present geometric arrangement of the floating hose (10) relative to the monitoring unit. In addition, the detection system (12) is configured to detect and / or ascertain, as actual location, a present geographical location of the floating unit (4). The detection system (12) is additionally designed to ascertain actual location data which represent the actual location and the actual arrangement. The floating unit (4) is designed to transmit the actual location data via a signal link (18) to the base unit (6). The base unit (6) is designed to receive, as actual weather data, present weather data which represent the present wind strength, the present wind direction, a prediction of the wind strength and / or a prediction of the wind direction in each case of the wind at the actual location. The base unit (6) is additionally designed to receive, as actual sea data, present sea data which represent the present current strength, the present current direction, a prediction of the current strength and / or a prediction of the current direction in each case of the water at the actual location.

The present application belongs to the technical field of structural wind resistance design, and particularly relates to a typhoon full-path simulation method based on conditional generative adversarial network. The present application firstly establishes a typhoon occurrence probability model and a typhoon movement speed random generator, generates random samples of typhoon movement speed under given 250hPa and 850hPa height air flow conditions, and simulates typhoon movement trajectory; then establishes a typhoon intensity model to simulate typhoon intensity evolution; based on the randomly generated typhoon path and intensity samples, the basic meteorological parameters of each point of the coastal shoreline are statistically compared with historical data; a typhoon three-dimensional nonlinear boundary layer wind field model is established to simulate typhoon annual extreme wind speed samples, and a typhoon ground surface annual extreme wind speed probability distribution is established. The present application establishes a nonlinear mapping relationship between typhoon movement and intensity change and environmental variables, and reflects the non-Gaussian probability characteristics of typhoon intensity evolution.

The invention discloses an anti-glare panel wind resistance enhancing built-in support and an implementation method thereof, and relates to the technical field of anti-glare panels, the anti-glare panel wind resistance enhancing built-in support comprises a built-in supporting framework connected with an anti-glare panel and an anti-glare panel mounting base, an active connection damping support for supporting the anti-glare panel on one side and a passive connection damping support for supporting the anti-glare panel on the other side, the built-in supporting framework is accurately matched with the original anti-glare panel and the mounting base through the connecting holes of the lower connecting plate and is fixed through the bolt connecting pair, so that rapid and convenient mounting is realized, existing facilities do not need to be transformed, the construction efficiency is remarkably improved, and the cost is reduced; different quantities of combinations of active connection damping supports and passive connection damping supports are flexibly mounted at a plurality of anchoring holes of an upper mounting plate of the built-in support framework, so that the overall wind resistance level of the support can be designed and adjusted according to different wind power environments such as coastal strong wind areas or inland conventional areas, and diversified enhancement requirements are met.

The invention relates to the technical field of weather forecast, and particularly discloses a method for forecasting the strong wind intensity grade of an intelligent grid by using a convection potential index, which comprises the following steps of: firstly, acquiring a numerical mode product with a specified range and resolution, extracting five elements, namely a lifting index, 1000m vertical wind shear, a temperature difference between 500hPa and 850hPa, a multilayer vertical speed and convection effective potential energy, and calculating the wind intensity grade of the intelligent grid by using the convection potential index; the quartile value, the abnormal value and the like of each element are respectively calculated, and a standardized value is obtained by combining the correlation with the convection strong wind. The standardized values of all the elements are summed to obtain a convection gale potential index, then the gale intensity is calculated by fusing the maximum wind speed and the maximum wind speed, and after potential index correction is conducted, the grade of the gale intensity is determined by adopting a dual-threshold grading method in combination with rainfall elimination and control. According to the method, the instantaneous and continuous strength of the strong wind is considered, the convection potential effect is fused, strong wind forecasting skills of different time periods and the accurate forecasting advance of the local strong wind are improved, and the TS score of the forecasting result is obviously improved compared with an EC numerical mode on the whole, especially for high-grade strong wind forecasting.

This invention relates to an improved wind-resistant design method based on inelastic performance and target reliability. It generates multi-sample wind load time histories based on wind load characteristic parameters and calculates the intensity reduction factor (Ri) corresponding to different storm durations under wind load based on a single-degree-of-freedom system. W The probability distribution function is used; the wind resistance intensity reduction coefficient related to storm duration is introduced to modify the ultimate limit state equation and design expression of wind resistance capacity; based on the set target reliability (β) m Determine R W The representative value (R) Wk ), and by changing the ductility coefficient μ and the structural period T, an R model that is easy to use in engineering design is established. Wk -μ-T relationship curve; wind resistance design according to the modified design expression; the proposed improvement method can solve the problems that the existing wind resistance design does not consider the inelastic performance of the structure and cannot be carried out according to the reliability expected by different owners.

The invention provides a wind turbine generator control method and device, a storage medium and electronic equipment, and relates to the technical field of wind power control, and the method comprises the steps: obtaining scanning data of a laser radar located in front of the center of a hub of a wind turbine generator, and determining a wind speed vector of the wind turbine generator according to the scanning data, the scanning data at least comprises the original wind speed measured by the laser radar; according to the wind speed vector, the turbulence intensity, the gust intensity and the wind speed gradient of the wind turbine generator are determined, whether a gust event occurs in the wind turbine generator is predicted, and the arrival time of the gust event is determined; and when the arrival time is less than the preset arrival time, determining a pitch angle given value of the wind turbine generator, and triggering feedforward feedback control of the wind turbine generator based on the pitch angle given value. And when the arrival time of the gust event is less than the preset arrival time, feedforward feedback control of the wind turbine generator can be triggered based on the pitch angle given value, so that the control accuracy of the wind turbine generator is improved, and the fault rate of the wind turbine generator is reduced.

The utility model discloses a punching refraction device which is provided with at least one through hole, the lower surface of the punching refraction device is of a groove structure, and at least one groove extends in the longitudinal direction of the punching refraction device. According to the technical scheme, the holes are punched in the punching refraction device, sunlight directly penetrates through the holes and irradiates the ground which is not shaded by the photovoltaic module, and therefore the loss of light radiation generated when the part of sunlight penetrates through the punching refraction device is eliminated; rainwater can penetrate through holes in the punching refraction device, and therefore the rainfall can be evenly distributed on the ground. The hole is formed in the punching refraction device, wind can penetrate through the hole, and the wind can penetrate through the punching refraction device during wind blowing, so that the wind resistance of the punching refraction device is reduced, and the wind resistance strength of the punching refraction device is greatly improved.

The present application relates to photovoltaic support technical field, especially adjustable installation angle photovoltaic panel support, the present application solves the problem that the photovoltaic support in prior art is easily damaged when being impacted by strong wind, and the photovoltaic panel is rotated to horizontal state when facing strong wind environment, which leads to the efficiency of photovoltaic support accepting sunlight significantly decreases, including adjusting frame, and further including detection mechanism, the upper side of adjusting frame is provided with detection mechanism, the present application through the design of detection mechanism, when strong wind impacts detection box, the detection box can be rotated according to the wind direction of strong wind with the connecting place of frame as the center, so that the first air guide frame moves, the detection mechanism can move the locking mechanism according to the detection result, so that the gap between rectangular frame and frame is generated, the strong wind passes through the gap between rectangular frame and frame, prevents the frame and rectangular frame from shaking or directly collapsing under the impact of strong wind, effectively improves the wind resistance of photovoltaic panel support.

The present application provides a wind turbine control method, device, storage medium and electronic equipment, which relate to the field of wind power control technology, including: obtaining scanning data of a laser radar located in front of the hub center of the wind turbine, and determining the wind speed vector of the wind turbine based on the scanning data, wherein the scanning data at least includes the original wind speed measured by the laser radar; according to the wind speed vector, respectively determining the turbulence intensity, gust intensity and wind speed gradient of the wind turbine, predicting whether the wind turbine will have a gust event and determining the arrival time of the gust event; when the arrival time is less than a preset arrival time, determining a given value of the pitch angle of the wind turbine, and triggering feedforward feedback control of the wind turbine based on the given value of the pitch angle, which can not only accurately identify gusts, but also trigger feedforward feedback control of the wind turbine based on the given value of the pitch angle when the arrival time of the gust event is less than the preset arrival time, thereby improving the control accuracy of the wind turbine and reducing the failure rate of the wind turbine.

The application discloses a kind of for regional biodiversity species monitoring system, comprising: data acquisition module, data processing module and biodiversity monitoring database;Wherein, the data acquisition module includes mounting bracket, acquisition component, automatic drive assembly, pre-buried hollow seat and wind-resistant reinforcing component.This technical solution when encountering strong wind, automatic drive assembly drives wind-resistant reinforcing part one and wind-resistant reinforcing part two relative to pre-buried hollow seat movement, wind-resistant reinforcing part one moves, strengthens the connection strength of pre-buried hollow seat and monitoring area installation position, so that mounting bracket is not prone to tilting or collapse, wind-resistant reinforcing part two moves and gives mounting bracket pressure, strengthens the wind resistance of mounting bracket, so that mounting bracket is not prone to fracture.

The application provides a typhoon wind speed prediction method and system based on a Deep-Pred framework, comprising the following steps: constructing an influencing factor environmental field based on typhoon wind speed influencing factor data, to form a new typhoon data set with the influencing factor environmental field and typhoon wind speed data; dividing the new typhoon data set to obtain a training set, a validation set and a test set; constructing a Deep-Pred framework, and using the training set and the validation set to train and validate the model of the Deep-Pred framework, and adjusting the model parameters according to the training result to obtain a typhoon wind speed prediction model; inputting the test set and typhoon wind speed data of a to-be-predicted time period into the typhoon wind speed prediction model to obtain a typhoon wind speed prediction result. The application uses the Deep-Pred framework to predict the typhoon wind speed, can accurately extract the space-time characteristics of multi-dimensional typhoon information, and can better predict the change trend and maximum wind speed of the typhoon intensity compared with existing prediction models.

The invention relates to a wind resistance design improvement method based on inelastic performance and target reliability, and the method comprises the steps: generating a multi-sample wind load time history according to wind load characteristic parameter information, and carrying out the calculation based on a single-degree-of-freedom system to obtain a strength reduction coefficient (RW) probability distribution function corresponding to different storm durations under the wind load effect; a wind-resistant strength reduction coefficient related to storm duration is introduced, and a wind-resistant bearing capacity limit state equation and a design expression are corrected; determining a representative value (RWk) of the RW based on a set target reliability (beta m), and establishing an RWk-mu-T relation curve convenient for engineering design by changing a ductility coefficient mu and a structure period T; performing wind resistance design according to the corrected design expression; the improved method can solve the problems that the inelastic performance of the structure is not considered in the existing wind-resistant design, and the wind-resistant design cannot be carried out according to the reliability expected by different owners.

To prevent a typhoon from becoming intensifying in response to typhoons occurring at various locations.SOLUTION: A ship system includes a plurality of ships and a control unit, the ships each including a blower for blowing air upward relative to a horizontal direction, the control unit controlling movement of each ship so that the magnitude of the difference between the average velocity vector of the individual ships and the velocity vector of a tropical cyclone becomes equal to or less than a predetermined magnitude.SELECTED DRAWING: Figure 3

The present invention has a mechanism whereby, at low wind speeds, fins (5) are opened wide at the outside of a blade (1) and a generator (3) is rotated with strong torque to enable power generation in a weak wind and, in strong winds, the fins are stored inside of the blade to prevent excessive rotation, changed into a shape insensitive to wind strength, and changed into a shape generating braking force to avoid breakage. Furthermore, since gravity, centrifugal force, and the restoring force of a spring substitute for a power source required in the blade, no special power source from the outside is required.

The utility model discloses a kind of high-frame windproof theftproof photovoltaic support suitable for communication base station machine room, belong to photovoltaic support technical field, including support main body, the upper surface of support main body is connected with multiple groups equidistance arrangement's support column, the upper of support main body is equipped with a group equidistance arrangement's theftproof border frame, high-frame steel pipe stand is firmly clamped with support main body and support column by U type hoop, form three-dimensional support structure, the stability of bracket whole and wind resistance are greatly improved, can effectively resist the impact of strong wind to photovoltaic support, reduce the risk that bracket is inclined, collapses due to strong wind, guarantee the safe operation of photovoltaic equipment on communication base station machine room upper under bad weather, simultaneously, the end of reinforcing diagonal brace connected with theftproof border frame in support column front face connection, constitute triangle stable structure, further enhance the rigidity and wind resistance of bracket, reduce the shaking amplitude of bracket under wind force, improve its reliability in high wind speed environment.

The utility model discloses a wind-damage-resistant advertising board frame which comprises a fixing table, two groove bodies are formed in the fixing table, a same double-thread screw is rotationally connected into the two groove bodies, and two sliding blocks are connected to the double-thread screw in a threaded mode. When strong wind weather comes, the hand wheel needs to be rotated to drive the double-thread screw to rotate on the fixing table, so that the sliding blocks on the two sides are driven to slide in the groove body, the support column is fixedly connected with the frame body, and the frame body is connected with the sliding blocks on the two sides, so that when the hand wheel is rotated, the support plates on the two sides can drive the support column to move longitudinally; the supporting rod can slide in or slide out of the supporting seat, part of the supporting column can be inserted into the supporting seat in strong wind weather, the placing height of the advertising board frame is reduced by utilizing the factor that wind power is smaller when the advertising board frame is closer to the ground, and reinforcing ribs are installed on the supporting seat in a matched mode, so that after the supporting rod slides into the supporting seat, the wind bearing strength can be improved; the blow-down by strong wind is prevented.

The application discloses a multi-source net-load-storage collaborative low-carbon data center energy storage system and method, and relates to the technical field of energy storage management, solves the problem that the traditional method lacks a dynamic checking mechanism and cannot quickly adjust a scheduling strategy when an actual energy supply and demand deviates from a prediction, the application classifies historical power generation data according to weather parameters (temperature, humidity, light intensity, wind strength, etc.) and generates an energy parameter interval, effectively captures the power generation law under different weather conditions, and lays a precise data foundation for subsequent prediction, secondly, the way of generating a renewable energy prediction interval based on weather forecasts breaks through the limitations of traditional single numerical prediction, adopts an interval prediction form to cover more possibilities, and combines micro-range division and assignment column locking mechanisms to make the prediction result more in line with actual power generation fluctuations and improve the forward-looking nature of renewable energy utilization.