388 results about "Wind speed" patented technology

The application discloses a sea area change monitoring method, device and equipment and a storage medium, and relates to the technical field of sea area monitoring. The method comprises the following steps: performing super-resolution reconstruction based on target sea area boundary data at a set monitoring frequency to obtain remote sensing images of the target sea area; extracting scattered planar vector patches of culture facilities from the remote sensing images; determining culture range patches of the culture facilities according to the outer convex surface boundary geometry of the midpoint element patch in the scattered planar vector patch; analyzing NetCDF sea current multidimensional data, generating format grid sets including different direction flow rates and wind speed value vector fields according to the step length of the set monitoring frequency; determining a regression coefficient map according to the spatial relationship between the different direction flow rates and the wind speed, and monitoring the culture facilities by using the regression coefficient map. The application takes into account the influence of flow rates, flow directions and wind speeds on the position distribution of the culture facilities, and can efficiently and accurately monitor the temporal and spatial changes of the culture sea area by combining the analysis of the NetCDF data.

The application discloses a gas heater control system capable of automatically adjusting the size of a flame, comprising a main controller, an infrared sensing device, a gas control valve, a burner and an ambient temperature sensor and the like. The infrared sensing device senses the presence state, distance and height information of a human body, and the ambient temperature sensor monitors the ambient temperature; the main controller generates a multi-stage or continuous gas flow instruction based on the above information, controls the gas control valve to adjust the size of the flame, and can also adjust the total flow according to the number of human bodies. The system is equipped with a lifting device, which can automatically adjust the height of the burner according to the sitting or standing posture of the human body; a wind speed sensor is arranged, and when the flame is extinguished, the wind speed is combined to judge whether to delay ignition; multiple protections such as a tilt switch, an audible and visual alarm and the like are arranged, and an auxiliary illuminating lamp is started to enhance the sensing performance in weak light. The system realizes intelligent and accurate temperature control, improves the safety and scene adaptability, is energy-saving and convenient.

The invention discloses an anti-skid performance evaluation method for an anti-skid texture structure on an ice body surface, and the method comprises the following steps: S1, obtaining ice body surface micro texture data and environment condition data, the ice body surface micro texture data comprises surface roughness, texture distribution density and texture depth, and the environment condition data comprises the surface roughness, the texture distribution density and the texture depth; the environment condition data comprises environment temperature, humidity, wind speed and vehicle passing frequency. The invention relates to the technical field of traffic safety. By acquiring ice body surface micro-texture and environmental condition data, constructing a double-model collaborative prediction mechanism and combining real-time data comparison and error correction, the limitation that in the prior art, it is difficult to dynamically capture the influence of micro-texture change on the anti-skid performance is solved, and the ice body surface micro-texture dynamic change is monitored in real time; in combination with environmental factors and vehicle traffic data, the real-time performance and accuracy of anti-skid performance evaluation are improved through dual-model collaborative prediction and error correction.

The present application relates to the technical field of electromagnetic oven glass panel manufacturing, and discloses an electromagnetic oven glass thermal stress simulation method based on machine learning.The method comprises the following steps: deploying a sensor group on a toughened cooling production line, continuously collecting the temperature, stress, thickness, and operating parameters such as air grid wind speed, air pressure, and nozzle angle of the glass ribbon, and forming a time series data set.For each monitoring time, the preliminary correlation degree of stress and operating parameters is analyzed, and the number identification of a single glass panel and its unique stress response mode are used for calibration to accurately quantify the influence of individual differences.The non-thermal stress feature occurrence probability is introduced to screen out the data of key monitoring time points with small interference.Based on the pure data, a machine learning simulation model is constructed, the thermal stress and non-thermal noise are separated, and the accuracy of the simulation model and the guiding value for actual production are improved.

The application discloses a kind of transmission line safety risk assessment method, system, equipment and medium, comprising: obtaining the three-dimensional point cloud and meteorological data of transmission channel, after pre-processing, carry out semantic segmentation, extract power line coordinates, terrain features and obstacle vertex, and retrieve wind speed and temperature;Through catenary fitting, the measured sag is obtained, combined with temperature calculation theoretical sag, and the difference value is vertical deviation;Local micro-meteorological wind speed is obtained by using terrain features to correct wind speed;Temperature, vertical deviation and local wind speed are substituted into the equation of conductor state, to generate dynamic trajectory and calculate the minimum clearance distance with the obstacle;The three parameters are input into the risk model, and the risk probability level is output.The application realizes the accurate prediction of the dynamic position of the conductor under complex geographical environment and the quantitative grading evaluation of multi-factor coupling risk.

The application discloses a kind of based on sensor fusion's full-automatic dam slag salvaging pipe control system, belong to the technical field of intelligent operation and maintenance of hydropower station.System includes multi-source perception module, fusion decision module, integrated execution module, safety protection module and man-machine interaction module.Through water level, load, attitude, vision, wind speed, anti-collision multi-sensor fusion, realize environmental full-factor perception, automatically identify floating object type and adapt to water level and attitude balance, complete slag, log cutting, grappling hook salvage, automatic dumping, electric extension and manned safety operation, can realize eight-way movement with dam crane, one machine multiple hole operation.System has multistage safety protection, salvage load is greater than or equal to 1.5t, vertical stroke is greater than or equal to 9m, uses 380V industrial power supply, durable and reliable structure.The application realizes dam slag unmanned, intelligent, integrated operation, high efficiency, strong safety, low modification cost, suitable for various hydropower station floating object cleaning operation and maintenance.

This invention discloses a method for multi-source data fusion and power prediction of wind turbine units, belonging to the field of power prediction technology. It addresses the technical problems of poor multi-source data fusion and power prediction analysis in existing solutions. By filtering and retaining key features through mutual information, redundant information can be effectively reduced. Dynamic weighting via an attention mechanism makes the fused features more adaptable to real-time operating conditions. Differential weight adjustments for wind speed, terrain, and equipment status ensure high relevance of the fused features even in complex scenarios. Spatial feature extraction captures local spatial correlations, temporal features capture temporal dependencies, and random forests handle nonlinear mappings, solving the problem of insufficient generalization ability of single models. The attention mechanism automatically assigns weights to different time steps and features, avoiding complex mathematical processes such as matrix operations and noise covariance estimation.

This invention relates to the field of wind power output prediction technology, and particularly to a method, system, device, and storage medium for predicting offshore wind power output change windows based on typhoon forecasts. The method includes acquiring deterministic typhoon forecast data; calculating the time-series wind speed at the turbine hub height of the target offshore wind farm within the future forecast period based on a preset typhoon parameter model; setting a feathering shutdown wind speed threshold and a power generation recovery wind speed threshold for the turbines; traversing the time-series wind speeds to obtain the predicted shutdown start point and the predicted power generation recovery point, marking the period between the predicted shutdown start point and the predicted power generation recovery point as the initial output change window period; based on the initial output change window period, backtracking to verify the persistence of the upward trend of wind speed before the predicted shutdown start point to determine the precise start point of the window period; and extending backward to verify the stable recovery trend of wind speed after the predicted power generation recovery point to determine the precise end point of the window period.

The utility model discloses a wind volume self -adaptation heat accumulation type organic waste gas treatment integrated machine relates to heat accumulation type organic waste gas treatment technical field, including no. The utility model discloses a solenoid valve, wind speed and volume sensor, temperature sensor and control module are set up, so that wind speed and volume sensor can carry out real -time monitoring to the wind speed and volume of inside flow of no.

The application discloses a high-strength environment-friendly and energy-saving electric pole for power lines, and relates to the technical field of electric poles for power lines. The high-strength environment-friendly and energy-saving electric pole for power lines comprises an electric pole, an insulator is fixedly connected to the top of the electric pole, and a prompt mechanism is fixedly connected to the top of the electric pole. The high-strength environment-friendly and energy-saving electric pole for power lines is provided with an intercepting assembly of the prompt mechanism, when the wind speed exceeds the preset spring elasticity, the baffle is opened and drives the elastic filter screen to stretch, the airflow carries the colored powder in the filter cartridge out to form visible smoke, and an intuitive warning signal of excessive wind force is sent to nearby personnel and inspection personnel. This design can make the staff timely detect abnormal wind speed, take reinforcement or power-off protection measures, avoid impact damage to the electric pole structure caused by continuous strong wind, and enhance safety through multi-dimensional warning. The second windward plate of the light reflection mechanism rotates under the action of strong wind, drives the light reflection blocks to tilt and reflect light.

The application discloses a kind of for tantalum niobium tailings in tin metal recovery's synergistic treatment system, specifically related to metallurgical solid waste resource utilization technical field, acoustic-electricity perception pre-agglomeration module exports pre-agglomeration probability index according to pre-agglomeration threshold value;Heat resistance chromatography module exports the temperature field and fluidized void fraction distribution of suspected agglomeration area;Inhibiting ingredient self-adapting module calculates inhibitor addition rate according to distribution;Wind material decoupling adjustment module exports decoupled wind speed and feed rate set value according to addition rate and bed pressure drop;Chain negative feedback blocking module detects pressure drop deviation to generate feedback correction, superimposed to wind speed set value and reversely adjust feed rate set value, while used to update pre-agglomeration threshold value;The application realizes the online identification of agglomeration precursor, accurate danger area precision inhibiting and the closed-loop cooperation of wind material decoupling, inhibits the nonlinear deterioration of coking loss flow, makes tin recovery rate keep stable when tailings fluctuation, and reduces inhibitor consumption and manual intervention.

The application discloses a whole-process engineering consultation intelligent monitoring method and system based on Internet of Things, and relates to the technical field of intelligent monitoring.The method comprises the following steps: obtaining a dangerous area and corresponding area parameters according to a BIM progress model; obtaining position data of a worker in real time, and monitoring the position data; when the position data is located in the dangerous area, obtaining a working point wind speed and a working point inclination; calculating an engineering risk value according to the area parameters, the position data, the working point wind speed and the working point inclination; and giving a safety warning to the worker according to the engineering risk value.The application obtains a safety distance and a protection state of a dangerous area as a space risk according to a BIM progress model, monitors a wind speed and an inclination of a working position of a worker in real time as an environmental risk, and performs safety evaluation on a construction site according to the space risk and the environmental risk, so that a whole-cycle coverage of safety detection of engineering construction is realized.

The utility model relates to dust removal pipeline technical field, and disclose a kind of anti-blocking ring bucket dust removal pipeline, in actual operation, twelve groups of material bin are not synchronous operation, but twelve groups of dust removal pipeline are always in working condition, causing part of wind power is invalid consumption, under this operation mode, dust removal pipeline corresponding to unoperated material bin continues to send air, cause unnecessary waste of wind power resources, the utility model is equipped with control assembly, control assembly is installed in twelve groups of pipeline body, the opening and closing angle of valve plate is controlled by cylinder cooperation connecting rod, the opening or closing of twelve groups of pipeline body is controlled by this method, without changing the overall wind power size of device, to change the wind speed in twelve groups of pipeline body in this way, to increase the dust collection effect of device overall.

This invention provides a mobile wind tunnel device capable of outputting uniform droplets, belonging to the field of icing and anti-icing technology for ships and marine structures. The device includes: a stabilizing rectangular cavity and a transitional circular-to-square cavity, the stabilizing rectangular cavity and the transitional circular-to-square cavity being connected. The circular opening of the transitional circular-to-square cavity is connected to a variable frequency fan. A honeycomb rectifier and multiple airfoil spray frames are installed inside the stabilizing rectangular cavity, with the honeycomb rectifier located between the variable frequency fan and the airfoil spray frames. This mobile wind tunnel achieves uniform droplet output, maintaining a stable airflow field through the honeycomb rectifier; by arranging heating tape in the water and air pipes inside the airfoil spray frames, the wind tunnel device can operate for extended periods in low-temperature environments without icing; and a control cabinet controls wind speed, water pressure, and air pressure to obtain icing data for the ship's superstructure under different wind speeds and droplet diameters.

This invention discloses a method, system, equipment, and medium for real-time detection of the overall performance of a mite remover, specifically relating to the field of performance testing technology. The method includes sealing and connecting the mite remover under test with a test sample chamber containing a built-in standard dust mite test sample block; continuously acquiring instantaneous input power and instantaneous wind speed through a power acquisition unit and a hot-wire anemometer, and calculating the instantaneous intake flow rate based on the cross-sectional area of ​​the duct; continuously acquiring a sequence of microscopic images of the upper surface of the fiber fabric layer within a set detection period; extracting individual dust mite displacement events using the inter-frame difference method, counting the total number of events, and calculating the average displacement velocity value; and using the average intake power, the total number of individual dust mite displacement events, and the average displacement velocity value as input variables, generating a comprehensive evaluation value of the overall machine's performance through a performance judgment model. This invention integrates power, flow rate, and the dynamic response parameters of live dust mites, achieving real-time and accurate quantitative evaluation of the overall performance of the mite remover.

The application relates to the technical field of intelligent management, and particularly discloses a municipal road construction decision method and system, which comprises the following steps: collecting video data through a monitoring device arranged at a construction site, collecting wind speed data and humidity data through an environmental sensor; identifying a construction operation type from the video data, evaluating dust generation intensity based on the identified construction operation type, the spatio-temporal distribution characteristics, the wind speed data and the humidity data; predicting dust deposition amounts of lenses of each monitoring device according to the dust generation intensity and position information of the monitoring device; and generating a cleaning decision scheme for the monitoring device based on a time sequence change curve of the dust deposition amounts. The application can realize dust intensity evaluation of a construction site, dust deposition prediction of a monitoring device and cleaning decision generation, guarantee clear and continuous monitoring pictures, improve supervision reliability and reduce cleaning resource waste.

This invention relates to the field of new energy technology and discloses a short-term wind speed prediction method based on LSTM neural networks. The method first collects multi-dimensional historical wind speed data from wind farms and performs standardized preprocessing to construct a high-quality training set. Then, it designs and trains an LSTM neural network model that can effectively capture temporal dependencies. Finally, it obtains a high-precision prediction model through validation and optimization. In application, the preprocessed real-time data is input into the model to achieve quantitative prediction of wind speed for the next few hours. This method establishes an online performance evaluation and automatic update triggering mechanism based on the inherent volatility of the data, forming a complete prediction-evaluation-optimization closed loop. This allows the model to self-perceive performance degradation and autonomously trigger retraining, thereby overcoming the problem of performance degradation of traditional static models due to environmental changes after long-term deployment. Ultimately, this ensures the accuracy, adaptability, and industrial application value of the prediction model in long-term operation.

The utility model relates to a ventilation wall body technical field, especially a modularization integrated energy-saving school building ventilation wall body, the utility model has the advantages of: through a plurality of outside air holes can make outside airflow enter the air cavity, then through a plurality of inner air holes, make the airflow enter indoor one side, thereby can ventilate and ventilate with the whole wall, and with the air cavity and a plurality of inner air holes can make the airflow evenly dispersed along the whole wall, make the airflow even input, reduce airflow velocity, make the airflow more even soft enter indoor, in windy weather also not indoor wind speed too big, and utilize the temperature difference of indoor and outdoor can realize the automatic flow of airflow, need not with the help electromechanical equipment, reach the purpose of energy saving and environmental protection, through the upwardly inclined setting a plurality of outside air holes can prevent rainwater from pouring, through the filter screen can intercept impurity dust, and through the arrangement of the inclined structure, can make the intercepted impurity dust automatically slide and discharge.

Disclosed is an electric vehicle capable of being continuously charged using wind energy, comprising: an air inflow part (110) formed to allow wind to flow in during travel; a turbine (120) formed at the rear end of the air inflow part (110) and rotated by wind energy; a power generation unit (130) for generating electric power; a power source unit (140); a sensor unit (160) formed on the front surface of the electric vehicle (10) and comprising a wind velocity sensor (161) for measuring wind velocity during travel, a rainfall sensor (162) for measuring rainfall during a rainy season, a snowfall sensor (163) for measuring snowfall during snowfall, and a sandstorm sensor (164) for measuring a sandstorm; and a controller (150) electrically connecting a battery (141) and an electric motor (11) by means of an electrical system and controlling the charging of the battery (141) by the power generation unit (130), wherein the air inflow part (110) comprises an air inflow path (111) recessed at each side or the center of the lower front part of the electric vehicle (10) and an opening / closing hole (112) formed at the air inflow path (111), opening / closing same, and having an aperture structure in which multiple air-through holes are arranged, and the controller (150) analyzes each value measured by the wind velocity sensor (161), the rainfall sensor (162), the snowfall sensor (163), and the sandstorm sensor (164), so as to operate the opening / closing hole (112) and thereby regulate the airflow that flows into the air inflow path (111), and thus generate electric power using wind energy regardless of the driving environment and weather conditions, which enables continuous charging.

This invention relates to the field of photovoltaic (PV) support technology, and discloses a method and apparatus for testing the strong wind resistance of cable-stayed PV supports. The method includes: conducting a static loading test on the PV panel to determine its ultimate wind resistance capacity; conducting a static tensile test on the connecting clips to obtain their ultimate tensile and compressive bearing capacity; conducting a static shear test on the connecting clips to obtain their ultimate shear bearing capacity; conducting a wind uplift test on the PV array; using aerodynamic testing to measure the wind load shape coefficient on the surface of the PV module and capture the abrupt change in the shape coefficient during the individual failure process of the PV panel; and using aerodynamic damping aerodynamic testing to measure the aerodynamic damping parameters of the PV panel under strong winds and their variation with wind speed. This invention enables strong wind resistance testing of cable-stayed PV supports, providing technical support for optimized support design.

The wind speed detection device (1) comprises: an output unit (2) that outputs a CW laser (L) whose frequency is nonlinearly and periodically modulated; a branching unit (3) that branches the CW laser (L) into a measurement light (Lm) and a reference light (Lr); a measurement optical system (6) that outputs the measurement light (Lm) into the atmosphere and receives the scattered light (Lf) of the measurement light (Lm) in the atmosphere as a signal light (Ls); and a detection unit (8) that outputs a detection signal (D) based on the interference result of the reference light (Lr) and the signal light (Ls).

This invention discloses a multifunctional windproof cover for remote in-situ calibration of an environmental noise monitoring instrument, relating to the field of environmental noise monitoring technology. It includes a monitoring instrument host, with a fixed housing fixedly connected to the top of the host. A mounting shell is located on the top of the fixed housing, and a connecting block is fixedly connected to the top of the mounting shell. This multifunctional windproof cover for remote in-situ calibration of the environmental noise monitoring instrument innovatively constructs a detachable coupling cavity structure. The coupling cavity method enables in-situ automatic acoustic calibration of the environmental noise monitoring instrument. The microcontroller's functions include receiving calibration / end calibration commands from the host computer; controlling the disassembly and assembly of the coupling cavity through a motor drive module; controlling the sound source to emit sound signals of different frequencies through a sound source control module; collecting wind speed and rainfall information from an anemometer and rain gauge and feeding it back to the host computer; and feeding back the calibration results of the environmental noise monitoring instrument to the host computer.

The present invention provides a microphone module, comprising: a housing; a microphone unit disposed in the housing and located at the bottom of the housing; a top sound hole area located at the top of the housing; a first windproof net covering the top sound hole area; a windproof cotton unit disposed between the top sound hole area 5 and the microphone unit; and a second windproof net disposed between the windproof cotton unit and the microphone unit. The present invention also provides a wearable device, including the microphone module as described above. This invention provides a microphone module with excellent windproof and noise-reducing functions, which can ensure clear call quality in windy weather with wind speeds of up to 9 m / s or even 11 m / s. In addition, the microphone module is small and modular, and can be embedded in wearable devices of any shape.

The application discloses a kind of portal crane steady control system, comprising: wire rope monitoring unit, vibration monitoring unit, wind monitoring unit, absolute value encoder module, self-locking control unit, drive unit, PLC control unit, generate the first control signal of hoisting mechanism, the action of hoisting mechanism is driven by drive unit;For based on the abnormal vibration degree of key position of portal crane structure, when generating the second control signal of inhibiting or eliminating the abnormal vibration of key position of portal crane structure, the action of luffing mechanism, hoisting mechanism, slewing mechanism or trolley mechanism of portal crane is controlled by drive unit;Based on the real-time wind direction angle of bulk cargo terminal operating environment, the real-time angle of slewing mechanism transmitted by absolute value encoder module is compared, and the third control signal is generated by real-time wind speed, control drive unit and self-locking control unit, realize adaptive control to portal crane slewing structure.

This invention relates to the field of windproof safety technology, and particularly to a nitrogen-buffered and hydraulically clamped rail-coordinated windproof system for ship unloaders. The system includes: a data acquisition module for acquiring real-time operating status data and ambient wind speed data of the ship unloader; a data analysis module for determining the real-time braking status of the ship unloader based on the real-time operating status data and ambient wind speed data; a windproof module including an independent hydraulic rail clamp installed at the operator's cab of the ship unloader, an electric intelligent self-locking cable device installed on the traveling mechanism of the ship unloader, and a nitrogen-buffered stop device installed below the operator's cab; and a control module for determining the control method of the ship unloader based on its real-time braking status. This invention improves the overall windproof capability of the ship unloader in high-wind environments through a three-level coordinated control system of nitrogen-buffered passive energy absorption, hydraulically clamped rail active braking, and electric cable rapid anchoring.

The invention discloses a hydrogen leakage diffusion non-uniform concentration gradient gas cloud minimum ignition energy test and blast-to-pedigree experiment device and an experiment method thereof. Comprising a visual semi-open test chamber, a premixing and flow regulation and control system, a gas temperature regulation and control system, a flow field wind speed regulation and control system, an environment water mist regulation and control system, an adjustable high-pressure ignition system, a non-uniform hydrogen injection system, a data acquisition system, a program control system and a time sequence synchronous controller. According to the hydrogen leakage diffusion non-uniform concentration gradient gas cloud minimum ignition energy test and blast-to-pedigree experiment device, a plurality of gas cloud forms such as local enrichment or concentration gradient advancing along with time can be constructed through cooperation of the position-adjustable non-uniform hydrogen injection system and the premixing and flow regulation and control system, and the injection position and key parameters can be reproduced; and moreover, dynamic monitoring of concentration distribution can be realized through a data acquisition system, and a researcher is helped to establish a corresponding relation of the gas cloud concentration along with time and space changes.

The application discloses a wind speed power curve fitting abnormal data filtering method based on a rank difference method, and the method comprises the following steps: acquiring wind speed and power data; encoding ranks of the wind speed and power data respectively, and calculating rank differences of each data point; wherein each data point contains a group of wind speed and power value pairs, and the rank difference is the difference value of the power rank and the wind speed rank; centering the wind speed based on the rank difference; merging the centered wind speed into a data set and filtering; and fitting the data set into a curve based on the Bien method. Through the processing scheme of the disclosure, the data filtering effect is effectively improved.

The application discloses a nano-coating paint composition capable of reducing wind resistance and a preparation method thereof. The paint composition is prepared by adopting a four-step process of silane pre-hydrolysis, fluorosilane modification, resin compounding and dispersing filler, and is formed into an organic-inorganic hybrid ultrathin coating by taking FEVE fluorocarbon resin and modified epoxy resin as a matrix, compounding a fluorosilicon hybrid system, nano-silicon dioxide and hexagonal boron nitride. The coating has a surface energy as low as 18.9 mN / m, a surface roughness Ra of 0.05 microns or less, an adhesion of 0 level, and a salt spray performance of more than 1000 hours. Under the working condition of a head-on wind speed of 2.5 m / s, the coating can significantly weaken the airflow wall adhesion and reduce the micro-vortex disturbance, and the highest wind resistance reduction rate reaches 14.7%, and the highest fan power consumption reduction rate reaches 9.8%. The coating has a thickness of only 3-5 microns, does not block the fin flow channel, has the characteristics of hydrophobicity, oleophobicity, wear resistance and corrosion resistance, is suitable for finned heat exchange equipment such as air conditioners, solves the pain points of high wind resistance, easy blocking and poor corrosion resistance of traditional coatings, and has the dual advantages of drag reduction and efficiency improvement and long-term protection.

The application provides an air-based high-altitude wind power generation system maximum power generation tracking control method, and a dynamic height optimization method of the air-based high-altitude wind power generation system, which can systematically consider multi-dimensional operation constraints such as a high-altitude wind speed profile, air density variation and height adjustment cost, significantly improves high-altitude wind energy capture efficiency and power generation power output stability, and is suitable for real-time power optimization and height scheduling strategy formulation of a floating wind power generation platform.

1. The name of the design product: anemometer (ET-975). 2. The use of the design product: the design product is an electronic measuring device with the function of measuring wind speed. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view.