107 results about "Surface winds" patented technology

The invention belongs to the technical field of ocean data processing, and discloses a GNSS-R and scatterometer combined same-orbit time sequence sea surface wind speed inversion method and system, and the method comprises the following steps: obtaining historical satellite data of ocean surface wind, carrying out the preprocessing of the historical satellite data, and obtaining the preprocessed data, constructing a training sample set in combination with the reference wind speed and the surge auxiliary data; constructing an initial wind speed inversion model by using a plurality of single-moment multi-frequency information fusion modules and multi-moment interactive attention enhancement modules, and training the initial wind speed inversion model by using the training sample set to obtain a same-orbit time sequence sea surface wind speed inversion model; and obtaining a time delay-Doppler correlation power diagram, GNSS-R observation parameters, scatterometer parameters and effective wave height of storm and surge, and completing sea surface wind speed inversion by using the same-orbit time sequence sea surface wind speed inversion model to obtain sea surface wind speed prediction data.

A computer-implemented method for downscaling an ocean surface wind (OSW). The method comprises: obtaining an input image with a set of wind data, constructing an OSW downscaling model based on a TransUNet architecture; using the OSW downscaling model to generate an output image with a set of resulting wind data according to the input image, and before the OSW downscaling model is used to generate the output image, training the OSW downscaling model according to a plurality of sets of training samples, wherein the OSW downscaling model is trained by optimizing model parameters of the OSW downscaling model in a sense of minimizing a loss function for improving resolution.

The invention discloses a precise urban near-surface fine wind field and pollutant concentration simulation system. The system comprises a data acquisition module, a wind field simulation module, a pollutant diffusion model module and a visualization module. The data acquisition module acquires comprehensive and accurate meteorological and geographical information through various sensors, GIS integration and data transmission processing. The wind field simulation module is based on a fluid mechanics theory, adopts a numerical model and an algorithm, considers influences such as an urban heat island effect, and realizes high-precision simulation of a near-surface wind field. The pollutant diffusion model simulates pollutant diffusion by applying a mathematical model and a proper calculation method in combination with wind field and meteorological data and the like. The visualization module converts simulation results and generates various visual graphs such as map views and time series diagrams, and is further provided with a user interaction interface and an analysis and prediction tool. The system can accurately simulate urban near-surface wind field and pollutant concentration, and provides scientific basis and powerful support for urban planning, environment management and decision making.

The invention discloses an aircraft environment monitoring method and system integrated with a semiconductor sensor. The method comprises the steps that S10, a semiconductor sensor array deployed on the surface of an aircraft is used for collecting temperature, humidity, air pressure, gas concentration and surface wind speed data in real time; s20, performing format standardization and error correction on the collected original environment data through a multi-channel data fusion engine, and constructing a unified input vector; s30, calculating a multi-dimensional fluctuation amplitude value of the input vector in the flight mission time window, and judging whether to trigger a high-frequency monitoring mode or not based on the value; s40, performing convolution fitting on the fluctuation amplitude value and a historical trend curve, and calculating a real-time environment disturbance index for updating a steady-state control parameter of the aircraft; s50, dynamically adjusting a control surface response strategy of the aircraft according to the disturbance index and synchronously generating a safety prompt level; and S60, uploading whole-process monitoring and response data to a ground monitoring center for intelligent optimization of model retraining and subsequent task planning.

The invention relates to the technical field of meteorological data processing, in particular to a progressive wind speed field depth downscaling method and device fusing multi-source data and space-time perception, electronic equipment and a storage medium. Multi-scale topographic features are introduced and self-adaptive fusion is performed, so that the wind field reconstruction precision in a complex topographic region is improved; a progressive multi-stage downscaling network architecture is adopted, large-multiple stable downscaling from the kilometer level to the hectometer level is effectively achieved, and error accumulation is controlled; reconstruction is carried out by utilizing a network trained through physical constraint loss, it is ensured that the divergence and the vorticity of an output wind field conform to the aerodynamics law, the physical rationality and the scientific credibility of a result are enhanced, and therefore an efficient solution is provided for obtaining a near-ground wind field with high resolution and high physical credibility.

The invention discloses a wind wave and surge extraction method and system based on a GNSS and an anemometer. The method comprises the following steps: respectively obtaining water level height data and wind data detected by a buoy for multiple times according to a reference time sequence and a detection time sequence; the buoy water level height data and the wind data are subjected to data preprocessing, the water level height and the wind data are preprocessed, and the preprocessed water level height and the preprocessed wind data are obtained; calculating the water level height and the wind data in unit time by using the preprocessed water level height and the wind data according to a segmented interpolation function, and calculating wave height data under a corresponding detection time sequence according to the water level height and the wind data in the unit time; feature set classification is carried out according to wind speed grades, IFFT is carried out after screening, and final wind wave and surge data are obtained, the water surface wind wave and surge data extraction precision is effectively improved, and low-cost and long-time-efficiency water surface wind wave and surge detection can be achieved.

The utility model relates to the field of ocean engineering, in particular to an underwater hauling device for a submarine pipeline, which comprises a plurality of buoys and a plurality of counterweights, the buoys are arranged at intervals along the length direction of the pipeline, the counterweights are arranged at intervals along the length direction of the pipeline, the buoys lift the pipeline, the counterweights pull down the pipeline, and the pipelines are arranged at intervals along the length direction of the pipeline. The conduit is configured to be suspended in water. According to the underwater hauling device for the submarine pipeline, the pipeline is suspended in water by arranging the buoy and the counter weight, so that the pipeline can be hauled away from the bottom between a floating hauling method and a bottom hauling method, the pipeline is not in direct contact with the seabed and is not influenced by the seabed, and therefore only small hauling force is needed, and the pipeline can be hauled away from the bottom. And the pipeline can be prevented from being affected by surface wind wave flow like a floating dragging method, and the device is simple in structure, convenient to use and good in effect.

The invention provides a ground-based laser radar near-surface wind field modeling method and system based on data fusion, and relates to the technical field of wind field modeling, and the method comprises the steps: firstly carrying out the multiple scanning of a target terrain region through a ground-based laser radar, so as to obtain an observation data set; acquiring land surface temperature data matched with the three-dimensional point cloud data in a space-time manner, and fusing the land surface temperature data with the three-dimensional point cloud data to generate a coupling data set; generating initial wind field feature vectors at different moments based on the coupling data set; the vectors are processed through a long-short-term memory network, and target wind field feature vectors are generated; inputting the target vector into a wind field inversion model constructed based on a high-order Taylor expansion polynomial, and calculating three-dimensional wind field data and turbulence characteristic data; and finally, constructing a near-ground wind field model of the target terrain area according to the data through a self-adaptive interpolation algorithm. According to the invention, the precision and accuracy of complex terrain near-surface wind field modeling are improved.

The invention discloses a train surface wind pressure prediction model training method, a train surface wind pressure prediction method and a related device.The train surface wind pressure prediction model training method comprises the steps that a training set is adopted to train a preset hybrid model till a first loss function value of the preset hybrid model meets a training stop condition, and a target prediction model is obtained; wherein the preset hybrid model comprises a first preset model and a second preset model, the first preset model is used for predicting and obtaining first predicted wind pressure data corresponding to the failure pressure measuring point based on the training sample, and the second preset model is used for predicting and obtaining the failure pressure measuring point based on the graph structure information and the first predicted wind pressure data. And predicting to obtain second predicted wind pressure data corresponding to the failure pressure measuring point. Thus, information from different models can be integrated, the overall prediction performance can be improved, the second preset model can help predict or interpolate missing values through the graph structure by using graph structure information, and therefore, the target prediction model can be applied to any scene to predict wind pressure data, and the application universality is improved.

The invention discloses a wind tunnel test aerodynamic force and displacement signal phase difference correction method based on self-excited vibration characteristics. The method comprises the following steps: independently collecting structure surface wind pressure and vibration displacement signals; integrating the wind pressure signal to obtain a self-excitation aerodynamic force time history; identifying the vibration frequency and the total damping ratio of the system from the displacement signal; filtering the aerodynamic force time history to extract a fundamental frequency component; based on a structural dynamic balance principle, establishing an analytic relational expression between an aerodynamic force out-of-phase component coefficient and total damping of the system; and carrying out iterative time translation on the aerodynamic force time history by taking the displacement signal as a reference until the out-of-phase component of the aerodynamic force time history meets the analytic relationship, so as to determine and correct the system delay. The invention further discloses a wind tunnel test aerodynamic force and displacement signal phase difference correction system based on the self-excited vibration characteristic and a storage medium. According to the method, electric triggering and physical transmission delay can be compensated with high precision without additional hardware, and the pneumatic parameter identification reliability is effectively improved.

The invention discloses a method for calculating wind resistance power loss under oil injection lubrication of a spiral bevel gear pair, and belongs to the field of aero-engine power transmission systems. The method comprises the following steps: constructing a gear tooth surface equation of the spiral bevel gear pair based on a Cartesian coordinate system; establishing a spiral bevel gear pair parameter model provided with an oil injection lubrication system; calculating tooth surface wind resistance power loss, large and small end surface wind resistance power loss, front and rear conical surface wind resistance power loss, tooth crest circumferential surface wind resistance power loss, tooth groove and tooth root wind resistance power loss and pump flow wind resistance power loss of the spiral bevel gear pair; and all the wind resistance power losses are added to obtain the total wind resistance power loss of the spiral bevel gear pair under oil injection lubrication. According to the method, a special analytical model is established for each region, regional modeling can be more suitable for an actual flow field, and the wind resistance power loss of the spiral bevel gear pair can be accurately calculated.

The invention discloses an anti-storm liftable floating type photovoltaic system which comprises a floating body structure, a photovoltaic panel is installed above the floating body structure, and the lower portion of the floating body structure is connected with a gravity anchor located on the seabed through an anchor chain; the winch is connected with the floating body structure through a steel wire rope and can drive the floating body structure to descend to the position below the sea level. The device can adapt to the deep sea environment and can well cope with severe environments such as strong wind, and the winch can be used for driving the floating body structure to sink to the seabed so as to avoid sea surface storm waves; a traditional floating photovoltaic device depends on a weighted base or rigid anchoring, the wind resistance is limited, and the application sea area range (such as a typhoon high-incidence area) is remarkably expanded by dynamically adjusting the position of a floating body; by sinking to a safe depth, the floating body avoids a typhoon strong wind area, the wind load is reduced, and the photovoltaic panel is prevented from being turned over, torn or collided with the fan tower drum.

The utility model discloses an auxiliary device for detecting a wind power generation blade. The auxiliary device comprises a fixed seat, a movable seat and an ejector rod, according to the wind power generation blade detection auxiliary device, cavities are uniformly formed in a movable seat and a fixed seat, communicating ports are formed in the ends, corresponding to the cavities, of the opposite sides of the movable seat and the fixed seat, ejector rods slidably penetrate through the communicating ports, one ends of the ejector rods are inserted into the cavities and fixedly connected with piston blocks, and the piston blocks are slidably connected into the cavities; the end face of the piston block is fixedly connected with a spring, the other end of the spring is fixedly connected with the inner wall of the cavity, the outer sides, corresponding to the ejector rod, of the movable seat and the fixed seat are fixedly connected with electromagnets, the ejector rod is made of magnetic materials, and the piston block extrudes the spring to move in the cavity, so that the extending length of the ejector rod is changed. The ends of the ejector rods abut against the surfaces of the wind power generation blades, and the ejector rods are magnetically attracted and fixed through the electromagnets, so that the curved-surface wind power generation blades are stably clamped through the ejector rods.

The invention relates to the technical field of communication equipment, in particular to a directional antenna and a control method thereof.The directional antenna comprises a main body, a rotating mechanism, an antenna and a wind speed sensing mechanism, a control center is arranged in the main body, the rotating mechanism is rotatably arranged on the upper surface of the main body, and the side face of the rotating mechanism is an inclined face forming an included angle with the rotating axis; the antenna is vertically arranged on the side face of the rotating mechanism, the wind speed sensing mechanism is located on the upper surface of the body, and the wind speed sensing mechanism is in signal connection with the control center. The antenna has the advantages that the directional antenna is convenient to carry, and the antenna has high stability in a severe environment.

The invention discloses a conditional diffusion method for reconstructing multi-source meteorological data for tropical cyclones. The conditional diffusion method comprises the following steps: acquiring an infrared radiation brightness set, a polarization correction temperature set and a sea surface wind speed of different tropical cyclones in a specified historical period; constructing a polarization correction temperature reconstruction model based on the conditional diffusion model; the input of the polarization correction temperature reconstruction model is an infrared radiation brightness temperature set, and the output target is a polarization correction temperature set; carrying out transfer learning on the trained polarization correction temperature reconstruction model to form a sea surface wind speed reconstruction model; the input of the sea surface wind speed reconstruction model is an infrared radiation brightness temperature set, and the output target is the sea surface wind speed. Therefore, the mapping relation from the infrared radiation brightness temperature to the multi-source meteorological data is established through generative deep learning of conditional diffusion, so that the multi-source meteorological data with the temporal-spatial resolution the same as that of geostationary orbit observation is reconstructed, and good performance is shown on various meteorological indexes and computer vision indexes.

The invention provides an indirect type air cooling tower flow guiding device and an air cooling tower, the indirect type air cooling tower flow guiding device comprises an outlet flow guiding device and a tower bottom flow guiding device, the outlet flow guiding device comprises a plurality of flow guiding plates, the multiple flow guiding plates are evenly arranged at the top of an outlet of a tower body along the circumference, and flow passing holes are formed in the flow guiding plates in a penetrating mode; the tower bottom guide device is arranged in the middle of the bottom of the tower body. The flow guide plate is arranged at the top of the outlet of the tower body, and the flow passing hole is formed in the flow guide plate, so that crosswind can be guided, and strong crosswind interference can be reduced. The tower bottom flow guide device is arranged in the middle of the tower bottom to form resistance to transverse wind, so that the wind speed distribution on the outer surface of the heat exchanger finned tube bundle is more uniform. Through the synergistic effect of the outlet flow guide device and the tower bottom flow guide device, damage of crosswind to an aerodynamic field in the tower is reduced, and the problems of uneven heat exchange and low efficiency are avoided, so that the heat exchange efficiency is improved.

The present invention discloses a wind tunnel test system for measuring the surface wind speed of a stack, comprising: a stack model to be measured, which is used to obtain the surface wind speed based on a probe; and a wind flow field system, which is used to simulate natural wind and perform tests on the stack model to be measured based on the natural wind to obtain the surface wind speed of the stack model to be measured. The present invention also discloses a wind tunnel test method for measuring the surface wind speed of a stack, comprising: constructing a wind flow field system, blowing air on the stack model to be measured through the wind flow field system, and obtaining the wind speed data of each surface of the stack model to be measured; obtaining a plurality of wind speed ratios based on the wind speed data of each surface of the stack model to be measured; performing weighted averaging on the area of each surface based on the plurality of wind speed ratios to obtain a comprehensive wind speed ratio; obtaining a wind speed influence coefficient based on the comprehensive wind speed ratio, and calculating the surface wind speed of the stack based on the wind speed influence coefficient.

The invention relates to a near-surface wind field downscaling method based on deep learning, and the method comprises the following steps: S1, obtaining site data, wind field data and topographic data, and outputting wind field and topographic total high-dimensional features by a feature extraction module; s2, inputting the total high-dimensional features of the wind field and the terrain into a multi-scale feature fusion module, and outputting multi-scale fusion features; s3, outputting a first near-surface wind field grid prediction value; s4, a second full-connection prediction module outputs a second near-surface wind field grid prediction value; and S5, obtaining adaptive weighted analysis data, inputting the adaptive weighted analysis data into the adaptive weighted network, and obtaining a final surface wind field grid prediction value based on the first weight and the second weight. Compared with the prior art, the near-surface wind field downscaling method has the advantages of improving the accuracy and efficiency of near-surface wind field downscaling and the like.

The invention provides a cooling tower surface high-risk area identification method based on a wind tunnel pressure measurement test, and aims to provide a cooling tower surface high-risk area identification method which is objective, quantitative and integrates average and fluctuating wind pressure effects. Comprising the steps of data acquisition, gridding, negative pressure area preliminary screening, comprehensive risk index calculation and result output. The core lies in the definition of a comprehensive risk index, the index combines an average local shape coefficient and a pulsation local shape coefficient, and the comprehensive risk index is formed through a mathematical function. According to the method, the defects that in the prior art, subjective experience is relied on, and fluctuating wind pressure contribution is neglected are overcome, so that automatic and precise recognition of the wind-induced high-risk area on the surface of the cooling tower is achieved, and a more scientific basis is provided for wind resistance design.

The application belongs to the technical field of desertification prevention, and particularly relates to a compound grass-sand barrier construction method and system based on a 'grape' shape, which comprises the following steps: S1: using GPS, a drone and other tools to survey and map the topography of the sand land to be treated, combining historical meteorological data to determine the main wind direction, and planning the sand barrier laying area and 'grape' unit layout; S2: preparing sand barrier construction materials, the materials comprising one or more of straw, corn stalks, reeds and sand willow branches, and screening and processing are performed to ensure the material quality; the 'grape' type cluster net structure design achieves the effect of efficiently interfering with and shunting near-surface wind-sand flow; the 'grape' type sand barrier unit is distributed in a cluster shape by a plurality of small grass bundles, and is connected into a net structure by short grass belts, and this design more effectively interferes with, shunts and guides the wind-sand flow than the uniform grid-shaped grass checkerboard, thereby improving the comprehensive performance of wind erosion prevention and sand burial prevention.

The application discloses an in-vehicle wind noise prediction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a side window surface wind noise time domain signal of a model vehicle at different wind speeds; processing the side window surface wind noise time domain signal to determine a side window surface wind noise average sound pressure level increment; using a predetermined wind noise correlation to determine an in-vehicle noise sound pressure level increment associated with the side window surface wind noise average sound pressure level increment; wherein the wind noise correlation is obtained by difference technology and curve estimation regression analysis according to the side window surface wind noise and the in-vehicle wind noise of a base vehicle; and determining the in-vehicle wind noise according to the in-vehicle noise sound pressure level increment. According to the technical scheme, the in-vehicle wind noise can be predicted through the wind noise correlation, the prediction reliability is high, the method is simple and easy to use, and the time consumption is short.

This invention discloses a method, system, and storage medium for identifying the surface wind pressure aerodynamic derivative that quantifies the contribution of aerodynamic instability to geometric shapes. The method includes: simultaneously acquiring the surface wind pressure time history and vibration displacement time history of the structural cross-section; processing the displacement signal to obtain the vibration frequency, amplitude, and phase difference; processing the wind pressure signal to obtain the wind pressure coefficient amplitude and phase difference at each measuring point; based on the theory of self-excited aerodynamics, establishing an explicit analytical formula through harmonic coefficient matching, and calculating the surface wind pressure aerodynamic derivative at each measuring point; analyzing the aerodynamic derivative at each measuring point, evaluating the contribution of each surface region to the overall aerodynamic derivative, and identifying key aerodynamic regions that excite or suppress self-excited vibrations. This invention degrades traditional macroscopic aerodynamic derivatives to spatial micro-elements, establishing a spatial mapping analytical closed chain between local wind pressure and aerodynamic derivatives, realizing spatial visualization and quantitative traceability of aerodynamic stability contributions, and providing a direct basis for targeted optimization of wind resistance for complex cross-sectional structures.

The present invention provides a method for calculating a normalized bistatic radar cross section based on GNSS-R data, obtaining detection data collected by GNSS-R technology; performing a first preprocessing on the detection data to obtain required parameters; bringing the required parameters into a forward scattering model, performing a second preprocessing on the required parameters to obtain a normalized bistatic radar cross section; obtaining a first velocity value through the normalized bistatic radar cross section, the first velocity value being a value of the sea surface wind speed; wherein the required parameters include the received power under a delay-Doppler diagram, the total distance loss, the effective isotropic radiated power, the gain of a low-orbit satellite antenna, the unit delay value of a position within a preset distance of a mirror point, and the unit Doppler frequency shift value of a position within a preset distance of a mirror point. By calculating the sea surface wind speed through the normalized bistatic radar cross section based on GNSS-R data, the accuracy and real-time performance of wind speed measurement are improved.

The application relates to a building shape optimization method, which comprises the following steps: in a first case, determining an optimized first value of a first parameter of a target building according to the value of a first index of the target building under a first candidate value of the first parameter, the first index comprising the following first index items: a roof average wind pressure coefficient, an average wind pressure coefficient difference between a windward surface and a leeward surface, and building heating energy consumption; and in a second case, determining an optimized second value of a second parameter of the target building according to the value of a second index of the target building under a second candidate value of the second parameter, the second index comprising the following second index items: a proportion of detection points with a surface wind speed less than a non-snow accumulation wind speed, a proportion of detection points with a roof wind speed less than the non-snow accumulation wind speed, and a proportion of detection points with a ground wind speed less than the non-snow accumulation wind speed.

The application discloses a kind of marine robot cluster tracking optimization control methods for non-cooperative target, first for the marine robot system working in water surface environment, respectively establish linearization marine robot cluster dynamics model and the dynamics model of non-cooperative target;Then construct state tracking error system;Design finite time sliding mode control protocol, simultaneously solve the equivalent state tracking error system that moves on sliding surface;Next define the performance index function of marine robot cluster system, design distributed state feedback nominal optimization control protocol, ensure that performance index function meets global Nash equilibrium;Finally, using Hurwitz stability theory proves that distributed state feedback nominal optimization control protocol can ensure the asymptotic stability of equivalent state tracking error system.The method of the application can realize the optimization tracking control of marine robot cluster system to non-cooperative target with uncertain control strategy under the interference of complex marine environment water surface wind wave.

The invention relates to a local surface layer wind field fusion and nowcasting method, and belongs to the technical field of meteorological wind field fusion and forecasting. According to the method, the wind shear index calculated by a 90-meter anemometer tower is utilized to fill up a wind profile at the height of 90 meters above a surrounding automatic station, Barnes step-by-step corrected wind field fusion is carried out in combination with WRF-LES large eddy simulation, a convolutional neural network model is established between a large eddy simulation data set and a fused wind field data set, model parameters are obtained, and the wind field fusion is realized. And the parameters are used in WRF-LES real-time forecast to obtain proximity correction forecast of the near-earth wind field. According to the method, the local anemometer tower and encrypted automatic station data are fully applied, WRF-LES modeling is integrated, the method can be used for forecasting a local wind field, and the corresponding algorithm and process are suitable for wind field forecasting of wind power, low-altitude economy and the like.

The invention relates to the technical field of airflow optimization, in particular to an airflow optimization method of a shell drying system. The method comprises the following steps that environmental parameters in a shell drying cabin are obtained through experimental testing, and data analysis is conducted on the environmental parameters through standard deviation and variable coefficients; establishing a CFD simulation model based on a Navier-Stokes equation, and setting and initializing the CFD simulation model to identify steady-state distribution data of wind speed, temperature and humidity on the surface of the shell; based on a CFD simulation model, a local airflow insufficient area is determined, and the number of fans and the air supply angle are optimized; a brand-new dry environment wind field vector airflow organization and adjustment device, a centralized rotating wheel dehumidification system and an automatic air volume control strategy are introduced; and the optimized shell drying system is subjected to experimental verification again. According to the airflow optimization method of the shell drying system, the wind field vector airflow organization and adjustment device and the centralized rotating wheel dehumidification system are combined with an automatic air volume control strategy, and accurate control over airflow and humidity is achieved.

The invention belongs to the technical field of wind load experiment testing, and particularly discloses a modularized equivalent wind load experiment testing system which is characterized by comprising a wind load simulation module, a data acquisition and processing module, a model fixing and supporting module, a control system module and a function extension module. The wind load simulation module is used for adjusting wind load strength and wind speed and realizing 0-360-degree wind direction adjustment; the data acquisition and processing module is used for monitoring physical quantities such as displacement and strain of the experimental model and wind speed, wind pressure and the like of a wind field, and processing to generate an experimental result and an analysis report; the model fixing and supporting module is used for fixing the experimental model and adjusting the levelness and perpendicularity of the experimental model; the control system module is used for setting experiment parameters, controlling experiment start and stop and process monitoring and realizing data transmission between modules; the function extension module is used for measuring wind pressure distribution on the surface of the model, displaying the flow state of a wind field and monitoring vibration response of the model; all the modules are connected and transmit data through standard interfaces.

The present invention relates to the technical field of bridge construction, and specifically refers to a real-time measurement method and system for the posture of prefabricated piers in water. A ruler and a measuring target are arranged on the prefabricated pier, and a reference target and an industrial camera are installed on the steel casing around the installation position of the prefabricated pier; during the hoisting process of the prefabricated pier, the scale of the corresponding ruler is obtained by the industrial camera, and the verticality of the current prefabricated pier and the elevation of the top surface of the prefabricated pier are obtained based on the three-dimensional coordinates of the ruler scale and the industrial camera; the image information along the plane of the corresponding reference targets and measuring targets in the same group is obtained by the industrial camera, and the horizontal coordinates of the prefabricated pier are determined based on the plane image information and the coordinates of the reference targets. The real-time measurement method for the posture of prefabricated piers in water of the present application can be completely unaffected by the interference of wind and waves on the water surface, and completely relies on machine vision to perform measurements during the lowering and installation of the prefabricated pier. The overall measurement accuracy is extremely high, and the measurement method is very simple.

The utility model belongs to the technical field of wind-resistant buoys, and particularly relates to a water surface wind-resistant polymer buoy which comprises a buoy body and a bottom pendant connected with the lower end of the buoy body through a chain. A protective plate for buffering sea wave impact is arranged on the outer side of the buoy, a guide part for guiding seawater is arranged at the upper end of the protective plate, a filter screen for seawater circulation is further arranged at the upper end of the protective plate, and the guide part is located on one side of the lower end of the filter screen; linkage ropes are arranged in the lower ends of the protection plates and used for connecting the adjacent protection plates into a whole and adapt to impact of sea waves in all directions. According to the utility model, the large impact caused by sea waves can be effectively avoided, the buoy can be blocked and buffered in advance when the buoy is about to arrive at the buoy, and the impact direction of the buoy is changed, so that the long-time stable use performance of the buoy is guaranteed.