24 results about "Global wind patterns" patented technology

The invention discloses a wind power plant micro-siting assessment method based on spatial analysis and climate adaptability, relates to the technical field of wind power plant siting, and solves the problems that in the prior art, spatial analysis depends on static topographic data, climate adaptability assessment uses dynamic meteorological data, and the static topographic data and the dynamic meteorological data lack a space-time synchronization mechanism; and a prediction result has a large deviation. The method comprises the following steps: firstly, acquiring multi-source data and fusing to realize time-space synchronization of the data; then, constructing and solving an objective function to obtain a candidate point set, and screening out an optimized point distribution scheme of which the prevailing wind direction coverage is greater than a set threshold value; and finally, inputting prediction data of various extreme climates into the cost-per-kilowatt-hour model, introducing extreme climate toughness parameters into calculation to carry out climate adaptability data correction, and calculating return on investment cycles under different carbon emission scenes. Through the steps, the limitation that only static wind resources are concerned on traditional site selection is broken through, and combined evaluation of the regional climate adaptability and the complex terrain adaptability is achieved.

The invention provides a day-ahead prediction method and device for wind power cluster power, equipment and a storage medium. Relates to the technical field of wind power generation prediction. The method comprises the steps that clustering is completed based on historical multivariate information of all stations in a wind power cluster, cluster virtual nodes are set, and the visual angle of global information is expanded for cluster modeling; and information propagation characteristics between nodes are explored based on a cluster prevailing wind direction. Constructing an adjacent matrix of the dynamic graph, and quantifying the dynamic evolution process of the cluster topology; and finally, mining cluster dynamic information by using a frequency domain channel attention mechanism and STGCN, and completing short-term power prediction of the wind power cluster. The method is a prediction method which considers multivariate information space-time diversity and is suitable for the day-ahead wind power cluster power, and is simple in calculation, high in prediction performance, clear in physical significance, effective in prediction result and high in practicability.

The present invention relates to a plain region wind turbine arrangement method based on a Web application system, comprising the following steps: (1) determining a prevailing wind direction; (2) setting parameters; (3) determining the position of a first wind turbine; (4) carrying out quincunx arrangement; and (5) completing the arrangement of wind turbines in the whole region. In the present invention, a computer algorithm and GIS technology are used, so that a large amount of terrain data can be processed and analyzed, and a region with high wind speed and stable wind flow can be rapidly recognized to determine an optimal arrangement position for wind turbine arrangement, thereby significantly improving the efficiency and quality of wind turbine arrangement.

The invention relates to the field of offshore photovoltaic technology, and provides a configuration method and device of an offshore photovoltaic module, a program product and electronic equipment. The method comprises the following steps: determining a first configuration angle interval of a photovoltaic module of a to-be-constructed offshore photovoltaic area according to a minimum power generation efficiency demand of the to-be-constructed offshore photovoltaic area and predicted illumination data when the to-be-constructed offshore photovoltaic area is officially put into use; acquiring historical wind regime data of the offshore photovoltaic area from the plurality of ocean weather stations, and determining a prevailing wind direction of the offshore photovoltaic area according to the historical wind regime data; according to the prevailing wind direction, a second configuration angle interval of the photovoltaic module in the offshore photovoltaic area is simulated in simulation software, and the second configuration angle interval is used for reducing the wind load of the photovoltaic module; based on the intersection of the first configuration angle interval and the second configuration angle interval, a configuration suggestion of the photovoltaic module of the offshore photovoltaic area to be constructed is generated; and completing the configuration of the photovoltaic module according to the configuration suggestion. According to the scheme, the safety of the photovoltaic module can be improved.

The present invention discloses a method, apparatus, terminal device, and computer-readable storage medium for evaluating the wind resistance of distribution network tower structures. The method comprises: obtaining meteorological and topographical data of the distribution network tower to be evaluated; the meteorological data includes temperature, humidity, wind speed, and rainfall intensity; the topographical data includes land type, slope, windward or leeward slope, and the angle between the prevailing wind direction and the line direction in winter; inputting the meteorological and topographical data into a neural network model, so that the model generates soil shear strength based on the meteorological and topographical data; determining the ultimate overturning moment and the corresponding critical wind speed based on the soil shear strength; and determining the wind resistance of the distribution network tower to be evaluated based on the critical wind speed. By implementing the present invention, the impact of rainfall on soil can be taken into account, improving the accuracy and reliability of the evaluation.

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 invention provides a high-altitude seismic wave data acquisition method and system, and particularly relates to the technical field of deployment modes of physical noise reduction devices of high-altitude seismic wave sensors. According to the method, a leeward slope stable area judgment criterion is defined based on digital elevation model data and historical wind field data of a target area, a seismic sensor deployment point is determined by analyzing the terrain slope direction and the like, a seismic sensor and an anemometer are installed, and an angle-adjustable wind guide plate is installed at the preset distance of the windward side of the deployment point; and the deflection angle is dynamically adjusted according to the real-time prevailing wind direction data. A seismic sensor is triggered to collect continuous seismic wave data, current wind speed data is recorded synchronously, and when the wind speed exceeds a preset threshold value, a timestamp mark is embedded to form a segmented mark data set. And marking and positioning the marked data segment according to the timestamp, only carrying out noise reduction processing on the data segment, and outputting the seismic wave data after noise reduction. The method solves the problem that the wind-induced vibration noise is increased in a high-altitude dynamic wind field environment, and improves the signal-to-noise ratio of seismic signals.

Methods and systems for detecting and measuring gas flow are disclosed in which lidar distance information, acquired during the detection of gas using a lidar sensor, is used together with local wind data to determine a rate of flow for the detected gas. The local wind data, which may comprise one or more vectors or a 3D wind model, may be determined based on prevailing wind data and the lidar distance information, and can use computational fluid dynamics (CFD) models to determine the wind velocity through 3D structures identified using the lidar sensor. The detection of gas flow using the disclosed technology may be particularly useful for the remote detection and quantification of leaks from natural gas (methane) wells and pipelines to locate, quantify and map fugitive emissions.

The invention discloses an intra-day scale extreme rainfall process identification and evaluation method, which relates to the technical field of extreme rainfall identification, and aims at plateau-mountain-plain complex terrains in Sichuan, grid units are divided through a regular network, vertical layers are subdivided, and key convection heights are accurately identified in combination with terrain parameters and atmospheric parameters. Constructing a regional extreme rainfall risk index of the ith grid unit coupled with convection effective potential energy and water vapor flux net income and expenditure, and solving the problems that the traditional administrative region division precision is low and single parameter evaluation is inaccurate; tracking along a prevailing wind direction and a water vapor channel to form a feature region path set, and pre-judging an extreme rainfall downstream propagation path; based on the ratio, average intensity and duration of extreme rainfall pulse events in the path and a dynamic correction pre-strategy, the upgrading observation and material allocation of the high-risk path and the reasonable degradation of the low-risk path are carried out, the resource waste is avoided, and the accuracy of intraday scale extreme rainfall identification is improved.

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.

This invention discloses an intelligent method for excavating urban ventilation corridors based on high-precision oblique photogrammetry, comprising the following steps: Step S1: Oblique photogrammetry is used to acquire oblique photogrammetry images of the target city via aerial photography to obtain a Digital Surface Model (DSM) and a Digital Elevation Model (DEM); Step S2: The difference between the DSM and DEM is used to extract the three-dimensional surface data of the target city; Step S3: Multiple prevailing wind directions of the target city are acquired, and the windward area density of each prevailing wind direction is calculated based on the three-dimensional surface data obtained in Step S2; Step S4: A template is designed based on the prevailing wind direction information, and template matching is performed based on the windward area density of the prevailing wind direction to find the continuous area within the windward area density range as urban ventilation corridors; Step S5: Based on Step S4, the urban ventilation corridors are automatically excavated to extract urban ventilation corridors that meet preset requirements.

The invention provides a galloping test method and system for an overhead transmission line. The system comprises a first tower, a second tower and a third tower which are installed in a flat and wide land parcel. A plurality of wires are arranged between the first tower and the second tower and between the first tower and the third tower. The second tower frame or the third tower frame is arranged on the preset track, and the second tower frame or the third tower frame can move along the preset track. According to the invention, the movable tower and diversified wire arrangement schemes are ingeniously designed on a flat and wide land parcel where uniform and stable horizontal wind of 5-15 m / S is easy to form, so that the span of the test wire and the included angle between the test wire and the prevailing wind direction can be flexibly adjusted, and various complex wire galloping working conditions are formed in a natural wind field. According to the design, the flexibility of the test and the use efficiency of land parcels are remarkably improved, and intuitive comparative research on the galloping states and the anti-galloping effect of the wires with different parameters can be realized under the same wind condition at the same time.

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.

The utility model provides a comprehensive protection system for a wind and sand hazard area at an oasis edge of a Qaidam basin, which relates to the field of environmental governance and comprises a mixed sand stabilization belt, a sand sealing and grass raising belt and a mixed forest and grass belt which are sequentially arranged in the main wind direction. The mixed sand stabilization belt is positioned behind the main wind direction; the mixed forest and grass belt comprises vertical sand barriers and sand stabilization plants; the vertical sand barrier comprises a framework and a net body unit, the framework is used for being fixed to the ground surface, the net body unit and the framework are matched in a sliding mode in the height direction of the framework, the framework and the net body unit are matched to define a protection area, and sand fixing plants are planted in the protection area. The protection system is good in sand blocking and fixing effect and beneficial to desertification environment treatment.

This invention discloses a method, system, terminal, and medium for urban wind corridor analysis that integrates three-dimensional urban topography. It relates to the field of geographic information analysis technology. The method includes: collecting POI data, meteorological data, DEM topographic data, and building outline data with elevation attributes for a preset urban area to establish a three-dimensional urban spatial model; obtaining the prevailing wind direction and the facade attributes of the three-dimensional spatial model to determine the comprehensive windward area index; analyzing the boundaries of the built-up area, extracting the start and end points of all candidate wind corridors, and identifying the optimal wind corridor path; and generating an urban wind corridor layout scheme based on the optimal wind corridor path, which includes the spatial layout of primary, secondary, and auxiliary wind corridors. This invention fully considers the influence of topographic undulations on wind flow organization and, combined with meteorological data and other parameters, enables rapid identification and evaluation of urban wind corridors. It is particularly suitable for identifying the ventilation potential of urban areas where the topographic elevation difference is similar to the building height.

Methods and systems for detecting and measuring gas flow are disclosed in which lidar distance information, acquired during the detection of gas using a lidar sensor, is used together with local wind data to determine a rate of flow for the detected gas. The local wind data, which may comprise one or more vectors or a 3D wind model, may be determined based on prevailing wind data and the lidar distance information, and can use computational fluid dynamics (CFD) models to determine the wind velocity through 3D structures identified using the lidar sensor. The detection of gas flow using the disclosed technology may be particularly useful for the remote detection and quantification of leaks from natural gas (methane) wells and pipelines to locate, quantify and map fugitive emissions.