164 results about "Snow cover" patented technology

The invention discloses a mountainous area accumulated snow area reconstruction method based on machine learning. The method comprises the steps that optical remote sensing data and topographic data are acquired and preprocessed; the optical remote sensing data comprises the MOD09GA data and the Landsat8OLI data; the preprocessing comprises terrain correction and accumulated snow recognition; taking an accumulated snow area generated by the Landsat8OLI data by using an accumulated snow recognition algorithm as a truth value label, and constructing a sample data set based on the preprocessed MOD09GA data and topographic data; dividing the sample data set into a training set and a verification set according to a proportion of 4: 1 so as to train and verify an XGBoost model; the XGBoost model improves the prediction performance by combining a plurality of decision trees; and performing accumulated snow area prediction on new input data by using the trained XGBoost model. According to the method, day-by-day 30-meter (m) accumulated snow area data can be produced, and the method has important research significance and value for mountainous area accumulated snow monitoring, hydrological process simulation and ecological system evolution.

The invention discloses a high-resolution peak accumulated snow depth inversion device and method based on a geographically weighted random forest, and the device comprises a data obtaining module which is used for obtaining the multi-source data of a research region, and the multi-source data comprise MODIS remote sensing accumulated snow data, Sentinel-1VV / VH backscattering data, topographic data, and meteorological station snow depth observation data; the high-resolution snow coverage data set construction module is used for processing the MODIS remote sensing snow data to obtain a high-resolution cloudless binary snow coverage data set; the feature construction module is used for constructing a comprehensive feature set containing a snow space-time process feature index, a back scattering feature index and a topographic feature index; and the model construction and analysis module is used for training a geographically weighted random forest model through the comprehensive feature set, and inverting the peak snow depth of the research area according to the optimal model. According to the invention, estimation of high-resolution peak snow depth can be realized.

The invention belongs to the technical field of regional hydrological numerical simulation, and particularly relates to a runoff simulation method, system and application of a loose coupling hydrological model based on glacier and non-glacier zones.The method comprises the steps that firstly, a glacier area and a non-glacier area are divided based on glacier cataloguing data and accumulated snow covering products, gridding processing is carried out through a digital elevation model, and a runoff simulation result is obtained; and performing hydrological process simulation on the non-glacier area and the glacier area by adopting a VIC model and a DETIM model respectively to realize differential modeling, and obtaining a basin total runoff simulation process through result fusion. Through the loose coupling framework, the problems of poor model expansibility and high reuse difficulty in traditional integrated modeling are solved, the simulation precision and deployment efficiency are improved, and the method is suitable for water resource evaluation and climate response research in the cold and cold mountainous area.

The invention discloses a high and cold slope disaster body segmentation method fusing optical and SAR images, and the method comprises the following steps: 1, carrying out the snow coverage normalization processing based on the visible light green light wave band and the short wave infrared wave band of an optical image, and generating an ice and snow mask through an expectation maximization algorithm and a Gaussian mixture model; 2, preprocessing the optical image and the SAR image; step 3, constructing a high and cold slope disaster body segmentation model based on a Transform network; 4, training the segmentation model by using Dice loss and cross entropy loss in a combined manner, and freezing parameters of an image encoder in the training process; and step 5, inputting the high and cold slope remote sensing image into the trained segmentation model, and outputting a segmentation result of the slope disaster body by the segmentation model. According to the method, the problems of large ice and snow interference and poor multi-source data collaboration in high and cold slope disaster body segmentation are solved, and the segmentation precision and the engineering applicability are improved.

The invention belongs to the technology of aircraft hydraulic systems, and relates to a hydraulic retracting and releasing device for an aircraft sled. Comprising a hydraulic oil tank, a hydraulic pump, a one-way valve, a hydraulic oil filter, a two-position three-way electromagnetic valve, a pressure sensor, a pressure regulating valve, a three-position four-way electromagnetic valve, a front sleigh throttle valve, a left sleigh throttle valve, a right sleigh throttle valve, a front sleigh actuating cylinder, a left sleigh actuating cylinder and a right sleigh actuating cylinder. And the sleigh can be retracted and released. When the airplane lands on the ice and snow covered pavement, the sleigh is put down, and the airplane lands through the sleigh. When the airplane lands on hard road surfaces such as sand and stones, the sled is folded, and the airplane lands through airplane wheel tires. A simulation model of the sled retracting and releasing system is established in simulation software, a curve of displacement and time is obtained according to loads in different flight states, the flow range of the adjustable throttling valve is determined, the range of the through-flow area of the throttling valve is calculated according to a small hole throttling formula, and the range of the through-flow area serves as the flow adjusting requirement of the adjustable throttling valve.

The invention discloses an assembly type steel corrugated plate structure snow protection shed tunnel, and relates to the technical field of shed tunnels, the assembly type steel corrugated plate structure snow protection shed tunnel comprises a shed body, and further comprises a snow covering monitoring and shoveling mechanism and an accumulated snow push-out mechanism, through the arrangement of the snow covering monitoring and shoveling mechanism, the gravity effect of accumulated snow on an arc-shaped snow covering plate is utilized, and take-up reels on the two sides of the shed body can be driven to synchronously start to operate; the traction rope is rotationally stored and released, so that the sliding rod can slide above the arc-shaped snow covering plate, the snow removing brush and the snow shoveling plate can be attached to the outer surface of the arc-shaped snow covering plate to remove accumulated snow on the outer surface of the arc-shaped snow covering plate, it is ensured that the accumulated snow is thoroughly and evenly removed, the working efficiency is improved, and the snow removing effect is improved. In addition, when the accumulated snow is accumulated to a certain degree, the gravity action of the accumulated snow is utilized to naturally trigger the mechanism to be started, manual intervention or external signals are not needed, it is ensured that the accumulated snow cannot be accumulated for a long time, and therefore structural pressure or potential safety hazards caused by too much accumulated snow are reduced.

A transport sled that is configured to receive and retain items such as but not limited to hunting gear, camping equipment and wild game within an interior cavity thereof. The transport sled includes a body having a bottom portion and a top portion wherein the top portion is hingedly secured to the bottom portion. The bottom portion is concave in form having an outer surface configured to slidably traverse across a snow covered surface. The top portion is hexagonal dome shaped forming an interior cavity. The top portion includes storage compartments operable to receive and retain items proximate thereto. The body includes stationary members movably coupled to the rear end of the body. The stationary members move between a first position and a second position wherein in the second position the teeth members of the stationary members engage the snow covered surface to inhibit movement of the transport sled.

The invention provides an ice and snow product inversion method and device based on a geological resource hyperspectral satellite, and relates to the technical field of remote sensing data processing.The inversion method comprises the steps that remote sensing image data and auxiliary data of a research area are obtained through the geological resource hyperspectral satellite, the remote sensing image data are preprocessed, and the preprocessed remote sensing image data are obtained; obtaining real reflectivity and spectral data of the earth surface; using a multilevel decision tree accumulated snow recognition algorithm to generate an accumulated snow range data product; obtaining a normalized snow index according to the spectral data; inputting the real earth surface reflectivity and the auxiliary data into a preset snow water equivalent inversion model to obtain snow water equivalent data; and inputting the auxiliary data, the normalized snow index and the remote sensing image data into a preset deep belief network to obtain accumulated snow area proportion data. According to the invention, based on the high-frequency observation capability of a geological resource hyperspectral satellite, high-precision ice and snow product inversion is realized under a complex terrain condition through the combination of a satellite remote sensing technology and a machine learning algorithm.

The invention belongs to the field of new energy power generation power prediction, and discloses a photovoltaic power prediction method in a snow covering scene and a related device. The prediction method comprises the steps of obtaining numerical weather forecast data, an accumulated snow coverage rate and an accumulated snow thickness forecast value in a snow covering scene in a prediction time period; inputting the numerical weather forecast data, the snow coverage rate and the snow thickness forecast value in the snow covering scene in the forecast time period into a pre-trained snow covering loss rate forecast model to obtain a loss rate forecast value; based on the loss rate prediction value, calculating to obtain a photovoltaic power prediction value in a snow covering scene in a prediction time period; wherein the pre-trained snow covering loss rate prediction model takes a DHKELM network as a basic training model, and is obtained by adopting layered unsupervised training. According to the method, the accuracy of photovoltaic power prediction under the snow covering condition is improved by predicting the snow covering rate and the snow thickness and fusing a physical mechanism and data driving.

The utility model discloses a radar antenna heating device, which relates to the technical field of radar antennas and comprises a hollow hemispherical protective cover and a hollow bearing circular ring fixed on the plane of the protective cover, and further comprises a driving unit and a heating unit which are arranged on the bearing circular ring, the driving unit comprises a positioning circular ring, an annular gear, a rotating shaft, a gear disc and a driving motor, an annular groove is formed in the inner bottom surface of the bearing circular ring, and the positioning circular ring is movably arranged on the annular groove; each heating unit comprises a supporting frame, a positioning bolt, an arc-shaped heating strip and a semi-annular heating block. According to the utility model, the positioning ring fixedly arranged on the bottom surface of the annular gear can rotate on the annular groove in a manner of being matched with the annular gear for reciprocating rotation, the heating unit can be in reciprocating contact with all curved surface areas of the hollow hemispherical protective cover along with rotation of the annular gear, and accumulated snow covering the protective cover can be fully heated and melted; and the equipment heating effect is sufficient and wide in range.

The invention discloses a forest accumulated snow albedo inversion method, and relates to the technical field of remote sensing, and the method comprises the steps: selecting a forest accumulated snow bidirectional reflection model SFBR2 as a forward model; extracting a forest accumulated snow area through the ground cover type product and the accumulated snow cover product; randomly generating a plurality of sample points in the forest accumulated snow area, and extracting input features of all the sample points; based on the input feature sample and the forest snow bi-directional reflection model SFBR2, an optimization algorithm is adopted for inversion to obtain a target variable; constructing a training data set in combination with the input features and the target variables; training a random forest model based on the constructed data set, and adopting a grid search algorithm for optimization; and a long-term time sequence image set containing input features is constructed on a GEE platform, the optimized random forest model is applied to the image set, and the albedo of the black space and the white space of the forest accumulated snow is accurately inverted. According to the method, the precision and the calculation speed of an inversion result can be remarkably improved.

The invention discloses a remote monitoring method and system for a photovoltaic power station, and a computing device, relates to the technical field of photovoltaic power generation, and solves the problem that in the prior art, dust or accumulated snow covering the surface of a photovoltaic module of the photovoltaic power station is not considered when the generating capacity of the photovoltaic power station is predicted. The light transmittance is reduced; and the generating capacity is reduced. The method comprises the following steps: extracting historical data of a photovoltaic power station in a statistical period and data features of the historical data; inputting the data features into a prediction model, and predicting the generating capacity of the target time period; performing abnormal prediction detection according to a difference relationship between the predicted generating capacity and the actual generating capacity to obtain an evaluation label of the predicted generating capacity; if the evaluation label of the predicted generating capacity is abnormal, correcting the predicted generating capacity by constructing a correction factor to obtain the corrected predicted generating capacity; and if the corrected evaluation label of the predicted generating capacity is normal, remote monitoring of the photovoltaic power station is completed.

The utility model relates to the technical field of snowsweepers, in particular to a driving gear box for a snowplow, which comprises a first shell, a second shell is movably connected to the surface of the first shell, a fixing bolt is movably connected to the surface of the second shell, and a mounting screw hole is in threaded connection to the surface of the fixing bolt. And the surface of the first shell is fixedly connected with a snow-proof cover. The oil cup is in threaded connection with the upper cover, the upper cover is movably connected with the pressure spring, the upper cover is in threaded connection with the adjusting nut, the oil cup is fixedly connected with the needle valve, the adjusting nut is fixedly connected with the reset spring, the oil cup is fixedly connected with the filter screen, the oil cup is fixedly connected with the connecting block, the oil cup is filled with lubricating oil, and the button is opened. And the transparent pipe can continuously drip lubricating oil to the fourth gear, so that manual oil brushing after the second shell is disassembled is not needed, and meanwhile, the dripping speed of the lubricating oil can be adjusted by rotating the adjusting nut.

The utility model discloses a high-altitude monitoring robot based on visual monitoring, which comprises a U-shaped frame, the U-shaped frame consists of two side plates and a bottom plate, the bottom plate is detachably mounted on the lower surfaces of the two side plates, a roller is arranged at the upper part in the U-shaped frame, a motor and a first balancing weight are respectively arranged on the outer surfaces of the side plates, a driving shaft of the motor is connected with a shaft of the roller, and the driving shaft of the motor is connected with the shaft of the roller. Through holes are formed in the two side plates respectively, a first camera and a second camera are installed in the through holes respectively, and lenses of the first camera and the second camera face the lower portion of the roller; a storage battery is arranged on the upper surface of the bottom plate, and a support is arranged on the storage battery. According to the utility model, the rollers can be placed on the cable and driven by the motor, the rollers can slowly move on the cable, the first camera and the second camera can transmit shot pictures to a ground control center in real time, so that a manager can conveniently judge the ice and snow covering condition on the cable, and the heating plate works to slowly melt ice and snow covering the cable.

The invention discloses a highway ice and snow covered pavement traffic safety risk grade prediction method. The method comprises the following steps: firstly, collecting vehicle operation data, meteorological data and road information data; then, dynamic response generated in the braking or accelerating process of the vehicle is analyzed, key parameters such as the speed, the acceleration and the braking force of the vehicle are combined, and the numerical value of the road surface friction coefficient is estimated; afterwards, environmental factors such as ice and snow, temperature and snowfall intensity are comprehensively considered, the road adhesion coefficient obtained through estimation is corrected, a numerical value better fitting the actual road condition is obtained, and road adhesion coefficient data finally used for risk assessment are calculated; and then, in combination with the corrected road adhesion coefficient under the ice and snow weather condition, carrying out detailed analysis on the adhesion coefficients of different areas by applying a risk assessment function. According to the method, low-cost, high-frequency and wide-coverage attachment coefficient estimation is realized, and the comprehensive risk condition of the ice and snow covered pavement can be reflected more comprehensively and stereoscopically.

The invention provides an electric car hood and a heating control method thereof, the electric car hood comprises a hood outer plate and a hood inner plate which are arranged in a stacked mode, and a reinforcing part clamped between the hood inner plate and the hood outer plate, and the reinforcing part is made of an electric heating material so as to generate heat in an electrified state. According to the electric car hood, on one hand, accumulated snow covering the hood can be conveniently melted, and the influence of the accumulated snow on the sight of a car driver is reduced; and on the other hand, the reinforcer has certain rigidity, and the overall structural rigidity of the electric car hood can be improved.

The invention relates to the technical field of meteorological short-term climate prediction, and discloses a temperature prediction method based on hybrid space-time neural network and multi-scale feature fusion. The method comprises the following steps: acquiring a historical temperature data sequence and a multi-source meteorological data sequence, wherein the multi-source meteorological data sequence comprises wind speed data, soil temperature data, snow cover data and sea temperature data; strict time sequence feature extraction is conducted on the historical temperature data sequence, a temperature short-term fluctuation feature set and a temperature long-term trend feature set are obtained, and it is ensured that only historical information is used without data leakage through strict time sequence feature extraction; and on the basis of the multi-source meteorological data sequence, the temperature short-term fluctuation feature group and the temperature long-term trend feature group, predicating through an improved LSTM neural network to obtain predicated temperature data of a preset number of days in the future. The accuracy of temperature prediction is improved by constructing a temperature short-term fluctuation feature group and a temperature long-term trend feature group during temperature prediction.

This invention discloses a machine learning-based method for reconstructing snow cover area in mountainous areas, comprising: acquiring and preprocessing optical remote sensing data and topographic data; the optical remote sensing data includes MOD09GA data and Landsat8OLI data; the preprocessing includes topographic correction and snow cover identification; using the snow cover area generated from the Landsat8OLI data using a snow cover identification algorithm as the ground truth label, and constructing a sample dataset based on the preprocessed MOD09GA data and topographic data; dividing the sample dataset into a training set and a validation set at a 4:1 ratio to train and validate an XGBoost model; the XGBoost model improves prediction performance by combining multiple decision trees; and using the trained XGBoost model to predict snow cover area on new input data. This method can generate daily 30-meter (m) snow cover area data, which has important research significance and value for mountainous snow cover monitoring, hydrological process simulation, and ecosystem evolution.

The utility model relates to the technical field of battery replacing stations, in particular to an automatic ramp structure of a battery replacing station, which comprises a bottom plate, an angle adjusting mechanism is arranged in the middle of the top of the bottom plate, two lug plates are fixedly connected to the left side of the top of the bottom plate in a front-back symmetry manner, a fixing plate is rotatably connected between the two lug plates through a rotating shaft, and a ramp plate is fixedly connected to the top of the fixing plate. According to the utility model, through the arrangement of the angle adjusting mechanism, the angle adjustment of the ramp plate is realized, the angle of the ramp plate can be conveniently adjusted according to the height of a chassis of a battery changing vehicle, the phenomenon of bottom supporting during battery changing is avoided, the working efficiency is improved, and the working efficiency is improved. The application range of the device is expanded, the electric heating pipe is turned on through the thermolator, accumulated snow covering the top of the ramp plate is melted through heat generated by the electric heating pipe, the situation that the vehicle slips on the ramp during battery replacement is avoided, the accumulated snow does not need to be manually cleaned, and time and labor are saved.

This invention discloses a method and system for emergency early warning of snowmelt floods based on snowmelt simulation, belonging to the field of data processing technology. The method includes: acquiring a preset snow cover in a preset area, performing multi-feature acquisition to obtain preset snow cover features; acquiring a preset environment in the preset area, performing multi-feature acquisition to obtain preset environment features; acquiring historical snowmelt runoff information of the preset area and generating a preset runoff map; rendering the preset snow cover features and preset environment features onto the preset runoff map to obtain a three-dimensional snow cover model; analyzing weather forecast information to obtain a weather-based snowmelt index; performing snowmelt simulation on the three-dimensional snow cover model to obtain a snowmelt simulation record; obtaining a snowmelt flood risk index and matching it with a risk warning scheme for early warning. This invention solves the problems of insufficient effective early warning for snowmelt flood risks and low reliability of early warning basis in existing technologies, achieving the effect of quantifying risks through model simulation and improving the accuracy of early warnings.

The invention discloses a photovoltaic snow covering depth and power loss forecasting method and system based on multi-source data fusion, and belongs to the technical field of photovoltaic power forecasting. The problems of high-precision accumulated snow influence assessment, short-term risk early warning and power loss quantitative prediction of a photovoltaic system in cold and alpine regions are solved. The method comprises the following steps: selecting three numerical weather forecasting modes, namely a global forecasting system operated by the National Environmental Forecasting Center, a wind energy and solar energy forecasting system of the China Meteorological Administration and a unified mode weather forecast of the British Meteorological Administration, acquiring weather forecasting data, performing unified space-time interpolation, abnormal value correction and unit conversion, and then performing set averaging to obtain a set average value; ensemble forecast data is obtained; based on a temperature-irradiance condition and a friction force mechanism, an accumulated snow covering model is constructed, a photovoltaic panel snow covering range and photovoltaic power loss are obtained, early warning information of snow covering time, duration and power loss is generated through matching of station longitude and latitude and national grid forecasting, and photovoltaic snow covering depth and power loss forecasting based on multi-source data fusion is completed.

The application discloses a distribution box with anti-freezing function, which comprises a box body and a box cover, the box body is internally provided with a heating mechanism, the box cover is provided with a mounting seat and an air outlet mechanism rotatably mounted in the mounting seat, and the air outlet mechanism can spray the high-temperature gas generated by the heating mechanism in a changeable form along the outer surface of the box cover. The distribution box has the advantages that: 1. the heating mechanism can firstly improve the surface temperature of the box cover to melt the bottom layer of snow on the surface of the box cover; 2. the air outlet mechanism can lead the high-temperature gas generated by the heating mechanism out of the box body and spray the high-temperature gas in a changeable form along the outer surface of the box cover, so that the snow on the box cover can be melted in a multi-dimensional manner, the melting process of the whole snow is accelerated, and a thick snow layer is avoided; and the application is dedicated to solving the problem of snow covering on the box cover of the distribution box, preventing the thick snow layer from causing frost in the distribution box and affecting the reliability and continuity of power supply, and preventing the box cover from being in a low-temperature and high-humidity environment for a long time and reducing the service life.

To provide a snow melting device which is easy to install and low in running cost.SOLUTION: The snow melting device includes a sheet-like or plate-like snow melting member and an LED light source arranged on the lower surface side of the snow melting member at a predetermined distance, and melts snow cover on the upper surface side by warming the snow melting member with light emitted from the LED light source. According to the present invention, it is possible to provide a snow-melting system that is easy to install and low in running cost. In addition, since the snow-melting member has water permeability, hydrophilicity, or water absorbability, it is possible to promote removal or evaporation of water generated by melting of snow, and it is possible to more efficiently melt snow.SELECTED DRAWING: Figure 1

This application discloses a method and system for identifying and assessing foreign object impacts on rail vehicles based on multimodal fusion. It constructs a multi-source monitoring data and operating environment parameter dataset by acquiring image information, structural vibration response information, and impact acoustic information of multiple key structural parts of the rail vehicle, combined with operating parameters, ambient temperature, and track snow cover information obtained from the onboard positioning system. Based on this, a multimodal fusion analysis method is used to identify foreign object impact events, determining the time of foreign object occurrence, impact time, and impact characteristic parameters. Furthermore, the impact load is calculated based on the foreign object's size and material parameters, and the foreign object's entrainment capacity and critical size range are analyzed using an aerodynamic adsorption model. Finally, statistical analysis of the impact events is performed, and the risk level of key structural parts is assessed. This application enables accurate identification and quantitative analysis of foreign object impact behavior on rail vehicles during winter ice and snow, improving operational safety.

The present invention relates to: an apparatus and system for detecting a road surface condition, wherein the road surface condition is determined through a sound signal; and a method for detecting a road surface condition by using same. The apparatus for detecting a road surface condition according to the present invention comprises: a sensor unit which is installed on a road and measures a sound signal generated according to a moving of a moving object on the road; and a control unit which distinguishes the sound signal measured by the sensor unit into normality or abnormality and determines, in case of the abnormality, the road surface condition including at least one of rainfall (wet), frozenness (icy), slush, and snow cover (snowy) so that a quick and accurate action corresponding to the road surface condition of a specific section can be made from a distanced place.

The invention discloses a construction method for an anti-skid groove of a cold branch pipe structure layer in a skiing road snow covering area of an indoor skiing field. The construction method comprises the steps that cold branch pipes are arranged on an isolating layer with a certain gradient; covering the cold branch pipe to construct lower-layer concrete, and burying the cold branch pipe in the lower-layer concrete; arranging and constructing an extruded polystyrene foam board on the lower layer concrete through a concrete dock; covering the concrete dock weighbridge, exposing the extruded polystyrene foam board construction upper-layer concrete, and enabling the upper surface of the upper-layer concrete to be flush with the upper surface of the extruded polystyrene foam board to form a cold branch pipe structure layer; and after the upper-layer concrete reaches the hardness condition, all the extruded polystyrene foam plates are removed, so that anti-skid grooves are formed in the cold branch pipe structure layer. According to the method, the difficulty of constructing the anti-skid groove in the cold branch pipe structure layer is reduced, the construction efficiency is improved, the construction period is shortened, the construction quality is improved, the labor intensity of workers is reduced, the problem of damage to the cold branch pipe is avoided, the structural performance of the cold branch pipe structure layer is guaranteed, and the precision of the burying position of the cold branch pipe is improved.

The present application provides a method, device, electronic device and storage medium for measuring snow depth. The method includes: obtaining first signal parameters of a first GNSS antenna and second signal parameters of a second GNSS antenna; determining a first peak frequency and a first peak power spectral density of the first GNSS antenna according to the first signal parameters, and determining a second peak frequency and a second peak power spectral density of the second GNSS antenna according to the second signal parameters; calculating a first height between the first GNSS antenna and the snow surface according to the first peak frequency, and calculating a second height between the second GNSS antenna and the snow surface according to the second peak frequency; respectively performing weighted processing on the first height and the second height based on the first peak power spectral density and the second peak power spectral density to obtain a first reference height; and determining the snow depth of the snow covering the land surface based on the first reference height and a second reference height when the land surface is not covered with snow.

The utility model discloses a hand-operated control opening and closing assembly and a passenger ladder platform awning, and belongs to the technical field of passenger ladder platform awnings. According to the technical scheme, aiming at the problem that an existing electric opening and closing device is high in maintenance cost, a nested structure of a movable shell on the outer wall of a fixed rod and a sliding rod is matched with a rack and gear meshing transmission mechanism, and manual rotation torque is converted into horizontal push-pull motion of the sliding rod; a synchronous wheel transmission assembly is arranged to connect the rotating shaft and the movable pipe, and manual driving control is achieved through an adjusting rod-fixed disc-spring mechanism; a conical top end support, a rotating rod and a supporting rod are adopted to form an awning framework, and a movable sleeve supporting mechanism is matched to prevent canvas from drooping. According to the awning, the adjusting rod is manually rotated to drive the transmission system, the rotating rod drives the canvas to be unfolded or folded, countersunk mounting holes are formed in the base to facilitate fixation, and conical flow guide structures are adopted at the joints of all components. The device is suitable for rain and snow shielding scenes of airport passenger ladder platforms.

The invention discloses an accumulated snow multi-mode integration method based on TC covariance, and the method comprises the following steps: (1) employing atmosphere forced data to drive different land surface modes of CLM, Noah and Noah-MP, and carrying out the simulation of accumulated snow in different land surface modes; (2) based on a TC covariance method, calculating variances and covariances of accumulated snow simulation in different regions in different modes, and calculating weights of different modes in different regions according to the variances and the covariances; and step (3), according to the calculated accumulated snow weights simulated in different areas in different modes, performing accumulated snow multi-mode integration. According to the invention, errors caused by multi-mode integration of a single mode in an area with large errors can be reduced, and the precision of multi-mode snow accumulation simulation is improved.

The invention discloses a distribution box with an anti-freezing function, the distribution box comprises a box body and a box cover, a heating mechanism is arranged in the box body, the box cover is provided with a mounting seat and an air outlet mechanism rotatably mounted in the mounting seat, and the air outlet mechanism can spray out high-temperature gas generated by the heating mechanism along the outer surface of the box cover in a variable form. The power distribution box is adopted as follows: 1, the heating mechanism performs heating operation: firstly, the surface temperature of the box cover is increased to melt bottom accumulated snow on the surface of the box cover; 2, the air outlet mechanism leads out high-temperature gas generated by the heating mechanism from the interior of the box body and sprays out the high-temperature gas along the outer surface of the box cover in a variable form, so that a multi-dimensional melting effect is generated on accumulated snow on the box cover, the overall melting process of the accumulated snow is accelerated, and a thicker accumulated snow layer is prevented from being formed; the problem of snow covering of the box cover of the distribution box is solved, the situation that the reliability and continuity of power supply are affected by frosting inside the distribution box due to the too thick snow layer is prevented, and the situation that the service life is shortened due to the fact that the box cover is in a low-temperature and high-humidity environment for a long time can be prevented.