12 results about "Wind strength" patented technology

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 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 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 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 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 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.