11 results about "Global wind patterns" patented technology

The application provides a generation method of a solstice seal based on parameterized modeling and azimuth coupling symmetry, and relates to the technical field of seal design. The generation method of the solstice seal determines a yin-yang background color according to astronomical characteristics of solstice origin and a parameter according to a season where the solstice is located, and generates a normalized boundary curve. The generation method calculates a solstice prevailing wind azimuth based on meteorological data. The generation method divides a main area and a remaining area according to a season parameter, and calculates character coordinates. The generation method applies a vertical symmetry criterion to layout solstice characters in the remaining area, and verifies vertical symmetry and minimum spacing constraints. The application can automatically generate a solstice seal meeting the requirements of traditional culture according to scientific genes, cultural backgrounds and natural characteristics of the 24 solar terms, through accurate modeling and optimization calculation.

Methods and apparatus for detecting and measuring gas flow are disclosed, in which lidar range information acquired during detection of a gas using a lidar sensor is used together with prevailing wind data to determine local wind data for a leak location. This local wind data, which can include one or more vector or 3D wind models, is used to determine flow rates.

The invention discloses a method for finely measuring and calculating the developable capacity of a wind power installation technology in a specified area, and the method comprises the following steps: S1, obtaining the geographic information and wind resource data of a target area, and superposing a restrictive factor layer to obtain available land resources; s2, dividing available land into a mountain land type and a flat land type based on topographic features; s3, preferentially extracting a ridge line corridor of a mountain type, and performing mountain unit arrangement in combination with a main wind direction and a fan wake flow model; s4, updating the available boundary of the flat ground type based on the wake flow influence area of the mountain unit, and performing boundary recursive unit arrangement in the flat ground type; s5, matching a corresponding model according to the wind speed data of the arranged point positions; and S6, accumulatively calculating the total installed capacity. According to the method, on the premise that the terrain and wake flow arrangement rule is met, the technology developable quantity of wind power installation can be rapidly and automatically measured and calculated in a large range.

The present invention is a one-dimensional sonic anemometer paired with a tail vane that continuously rotates the sonic anemometer to be coaligned with the prevailing wind. The one-dimensional sonic anemometer being coaligned with the wind vector can measure the total wind speed directly with the wind direction measured by detection of the relative orientation of the instrument with respect to North as the instrument is held into the wind. Rather than a conventional two-dimensional sonic anemometer, the invention is a hybrid one-dimensional sonic anemometer with a mechanical wind direction measurement.

The invention relates to a method for spreading a spreading material mixture (M) comprising several spreading materials (S1, S2) using an agricultural centrifugal spreader (1), which has at least two spreading devices (2, 3) arranged at different spreading heights (H1, H2) for spreading one spreading material (S1, S2) each, and a wind sensor (6) for detecting wind conditions (W), wherein the prevailing wind conditions (W) during spreading are detected and setting parameters (E1, E2, E3, E4, E5) of the spreading devices (2, 3) are set to generate a wind-independent spreading pattern (F) depending on the detected wind conditions (W), wherein the setting parameters (E1, E2, E3, E4, E5) of the spreading devices (2, 3) are set differently depending on the respective spreading height (H1, H2).

The invention provides an environmental wind field-oriented cascaded low-altitude torrent probability prediction method, and belongs to the field of atmospheric environment and weather forecast. According to the invention, a cascaded prediction means is adopted to realize driving by sea level air pressure field data, and a scheme for predicting whether low-altitude torrent occurs or not and the probability of the prevailing wind direction is realized, wherein the scheme is rapid, efficient, lightweight and capable of being updated in a rolling manner. Comprising the following steps: S1, identifying low-altitude jet stream and extracting a prevailing wind direction; s2, screening key space modals significantly related to the low-altitude torrent; s3, constructing a multi-classification logistic regression model; s4, constructing a time sequence prediction model; s5, real-time data assimilation and principal component value prediction are carried out; step S6, low-altitude jet stream probability prediction; and S7, real-time and rolling updating of a prediction result is carried out.

This invention discloses a segmented assessment method for transmission lines based on the coupling of micro-topographic axis and wind direction. The method includes the following steps: segmenting the transmission line and calculating the axial azimuth of each segment; determining the axial azimuth of the micro-topographic axis, obtaining the prevailing wind direction angle at the location of the micro-topographic axis, and calculating the minimum axial angle between the two; calculating the normal relative elevation difference index of the micro-topographic axis; calculating the spatial relationship between each transmission line segment and the micro-topographic axis; and coupling the minimum axial angle, normal relative elevation difference index, and spatial relationship between each transmission line segment and the micro-topographic axis to construct a multi-dimensional risk profile of the transmission line segment. This application enables refined analysis of different line segments, avoids the problem of spatial information averaging caused by overall analysis, and thus significantly improves the spatial accuracy of transmission line assessment in complex terrain areas.

The invention relates to the technical field of data processing, in particular to an AI new energy power prediction method, which comprises the steps of constructing an upstream candidate station set; taking the target station as a center, delimiting a radius range in the upstream direction of the prevailing wind direction, obtaining actually measured wind speed data of adjacent stations in the range, and forming an upstream candidate station set; for each upstream candidate station, calculating the spatial-temporal correlation between the upstream candidate station and the target station, and selecting 1-3 optimal upstream target stations; constructing a dynamic wind speed correction model; based on the screened optimal upstream target station, constructing a dynamic wind speed correction model taking the NWP forecast wind speed as a reference and taking the actually measured wind speed of the upstream station as a core; and constructing and applying a power mapping model, and outputting final power prediction. According to the invention, through upstream and downstream linkage, wind speed correction is rapidly carried out on the downstream electric field by using real-time change of the upstream wind speed, forecast wind speed data is adjusted in time, and a more accurate data basis is provided for power prediction.

The invention discloses a city updating planning system and method based on city space climate adaptability, and relates to the technical field of city updating planning, and the system integrates old area topographic data, water system distribution data and building micromorphology data, constructs an old area three-dimensional space model, analyzes a dominating mechanism of terrain fluctuation on local airflow, and improves the urban updating planning efficiency. Identifying a cold air generation area and a heat island gathering area, drawing a wind environment base map, identifying an air flow retardation area and a heat accumulation core area based on the wind environment base map, simulating an air induction path in combination with a summer prevailing wind direction, simulating a cold wind permeation area in combination with a winter prevailing wind direction, and combining a proper temperature of local residents; according to the method, through combination of three-dimensional data integration, airflow mechanism analysis, precise path simulation and resident appropriate temperature, the precision and practicability of old area ventilation corridor planning are remarkably improved.

This invention provides a method and system for analyzing the relationship between terrain slope and wind speed acceleration effect under prevailing wind direction. The method includes: determining the terrain slope under prevailing wind direction based on hillside terrain parameters within the range of the prevailing wind direction angle; obtaining the wind speed acceleration ratio corresponding to the hillside terrain based on fluid simulation analysis; and constructing a relationship curve between the terrain slope and the wind speed acceleration ratio based on the terrain slope and the wind speed acceleration ratio. The method provided by this invention constructs a relationship curve between the terrain slope and the wind speed acceleration ratio under prevailing wind direction using the terrain slope determined by hillside terrain parameters and the wind speed acceleration ratio obtained from simulation analysis. This provides data support for analyzing the intrinsic relationship of wind speed acceleration effect caused by hillside slope and provides a technical path for directly obtaining the wind speed acceleration ratio through hillside slope.

The invention discloses a wind speed and wind direction combined prediction method suitable for a bridge structure monitoring system, and the method comprises the steps: S1, collecting the time series data of the wind speed and wind direction in the bridge structure monitoring system, and carrying out the normalization processing; s2, calculating the prevailing wind direction of the bridge structure monitoring point according to the historical wind direction data, and decomposing the wind speed into a transverse wind component and a longitudinal wind component along the prevailing wind direction; s3, respectively establishing an LSTM neural network model for the transverse wind component and the longitudinal wind component, and performing training; s4, respectively predicting a transverse wind component and a longitudinal wind component by utilizing the trained LSTM model; and S5, combining the transverse wind component and the longitudinal wind component obtained by prediction to obtain wind speed and wind direction prediction results. The method can significantly improve the wind direction prediction precision, has real-time performance and engineering applicability, is suitable for strong wind monitoring and structure operation safety early warning in a bridge structure monitoring system, and is also applied to the disaster prevention safety field of high-rise buildings, railways and other infrastructures.