97 results about "Snow cover" patented technology

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 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 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 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 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 application relates to an axle box spring snow cover sleeving device and a working method, which comprises a feeding mechanism, a lifting component, a supporting piece, a transfer mechanism, a first horizontal moving mechanism, a vertical moving mechanism and a suction disc assembly, a sleeving mechanism, a lifting mechanism, a second horizontal moving mechanism, a swing mechanism and a supporting opening mechanism.

This invention relates to a method for the layout of charging facilities that embeds cold-region features and integrates across scales, belonging to the field of electric vehicle charging facility planning and spatial optimization technology. Addressing the shortcomings of existing technologies in fully considering the constraints of low temperatures and snow cover in cold regions and insufficient linkage between urban and community scales, leading to poor matching of layout needs and fairness, this method first collects multi-scale data and performs downscaling and spatial alignment. Second, it constructs a four-dimensional feature set at the urban scale, corrects the weights using a cold-region intensity factor, and identifies highly imbalanced areas. Then, it transfers these features to the community scale to identify dual-objective hotspot grids and uses a GWR-XGBoost model to evaluate micro-spatial adaptability. Finally, it constructs a multi-objective layout optimization model considering cold-region and safety constraints to solve for the Pareto optimal layout scheme, achieving a 10m-level layout at the community scale. This invention is applicable to the field of electric vehicle charging facility planning and spatial optimization in cold-region cities.

The invention belongs to the technical field of porcelain insulator equipment, and discloses a porcelain insulator with an ice and snow prevention cover structure, which is technically characterized by comprising a core column, an umbrella disc is arranged on the surface of the core column, a fixed cover is fixedly mounted on the surface of the core column, and a plurality of groups of protective covers are sleeved in the fixed cover. A positioning mechanism matched with the protective cover is arranged in the fixing cover, the positioning mechanism comprises a guiding assembly and an adjusting assembly, a cleaning mechanism is arranged on the upper surface of the umbrella disc, the cleaning mechanism comprises a sweeping assembly and a driving assembly, and the guiding assembly and the adjusting assembly are arranged to be matched with each other, so that the umbrella disc is cleaned. The relative positions of the protective covers and the umbrella disc can be conveniently adjusted, when protection is not needed, the protective covers are integrally located on the outer side of the umbrella disc, interference to the umbrella disc is avoided, when protection is needed, the protective covers are integrally connected to the outer side of the umbrella disc in a sleeving mode, all-directional closed protection can be conducted on the umbrella disc, and accumulated snow is effectively prevented from being generated on the surface of the umbrella disc.

This invention relates to the field of lidar snow depth estimation technology, specifically providing a hemispherical-scale snow depth estimation method and system based on spaceborne lidar. The method includes: downloading and preprocessing snow cover-related data collected by the spaceborne lidar within a preset hemispherical scale; obtaining snow cover period and snowless period light segments within the preset hemispherical scale based on the preprocessed snow cover-related data; obtaining the intersection points of the snow cover period and snowless period light segments using a dynamic discrimination rule based on a slope-limited intersection point distance threshold; obtaining snow depth values ​​based on the intersection points and a snow depth estimation model; and correcting the snow depth values ​​based on a snow depth reference error model to obtain corrected snow depth values, thus completing the hemispherical-scale snow depth estimation based on spaceborne lidar. This invention is not limited by factors such as altitude or cost when generating snow depth data, and can compensate for sparse station snow depth data. It plays an important role in verifying the authenticity of snow depth products, constructing snow cover models, and measuring snow depth in high-altitude mountainous areas.

The invention provides a snow depth measuring method based on a laser radar and intelligent image recognition, which comprises the following steps: a ruler is fixed on a track plate, four corners of the ruler are provided with circular positioning points, and the ruler is provided with scale numbers and indication grid lines; shooting a track image including the scale based on a camera; preprocessing the track image, and positioning circular positioning points at four corners of the scale to obtain a scale region of interest; the scale numbers and the indication grid lines are used as templates, the accumulated snow covering upper limit scale on the ruler is recognized through a template matching algorithm, and a snow depth corresponding value is determined; identifying the track image by using a pre-trained snow depth identification model, and judging whether snowfall exists or not; the snow depth value output by the laser radar is obtained, and the laser radar and the camera are rigidly fixed to the same platform and jointly calibrated; acquiring a track image, and identifying a snow depth scene based on the snow depth identification model; and fusing the three results to obtain a snow depth measurement result.

The utility model discloses an excavator antiskid track shoe, and the device includes: track shoe body, be equipped with grid groove on the track shoe body, all be equipped with conical tooth in the complete quadrilateral area surrounded by the grid groove, the track shoe body includes base layer and antiskid layer, the grid groove and conical tooth all place on the antiskid layer surface. The utility model has the advantages that: the grid groove set up on the antiskid layer surface of track shoe body and the conical tooth in the quadrilateral area surrounded by the grid groove greatly increase the contact area and friction force between track shoe and ground. In the complex terrain such as muddy, soft or ice and snow cover, the conical tooth can penetrate into the ground, and the grid groove can further hinder the relative sliding between the track shoe and the ground, effectively solve the problem that the existing track shoe is insufficient in antiskid performance and easy to slip in these harsh environments, thereby improve the stability and operation efficiency of the excavator walking, reduce the energy consumption increase caused by the slip.

This invention relates to the field of data evaluation technology, and discloses a multi-source mapping data fusion evaluation method and system for agricultural insurance. The method includes: acquiring images of a target planting area before and after the snowmelt period; extracting the reflectance difference of the snow spectrum of each plot unit in the images under shaded and unshaded conditions to obtain the change in snow cover rate of the plot unit per unit time; identifying accelerated ablation blocks in the target planting area based on the change in snow cover rate; and constructing a snowmelt runoff catchment tree based on the topological connection between the water runoff direction of the slope where the accelerated ablation block is located and the downstream plots; based on the snowmelt runoff catchment tree, this invention can solve the problems of existing technologies having ambiguity in determining the range of runoff scour caused by snowmelt, lacking a nighttime temperature correction mechanism for runoff freezing, and having large deviations between simulated snowmelt flow and actual conditions.

This invention discloses a method for assessing the snow load of photovoltaic structures based on a multi-layer snow melting model, comprising the following steps: obtaining basic meteorological data of the target area, starting the simulation from adding new snowfall and updating the boundary conditions at the top of the snow cover; calculating the total energy absorbed by the snow layer and photovoltaic panels, as well as the temperature of each layer; calculating the cumulative positive energy of the snow cover and its critical value, the mass balance equation of the snow cover, and the snow compaction process; and calculating the design snow load of the photovoltaic structure in the target area. By using basic meteorological data to construct the energy balance equation of the snow layer and photovoltaic panels, and the mass balance equation of the snow cover, the cumulative positive energy is used as a condition for judging snowfall, simulating the snow evolution process on the photovoltaic panels over many years; the annual extreme values ​​of snow load are extracted from the snow simulation results as samples for statistical analysis, and then the photovoltaic snow load for the return period is calculated to guide the design of photovoltaic structures. This method can save time and economic costs in determining the snow load, improve the safety of photovoltaic power plants, and reduce construction costs.

The application discloses a distributed photovoltaic power uncertainty quantification and prediction method based on multi-modal fusion and adaptive learning, comprising the following steps: S1, acquiring first snow cover data; S2, collecting second snow influence data; S3, completing multi-modal data fusion in a three-dimensional feature space; S4, dividing an anomaly detection domain according to a preset threshold condition in the three-dimensional feature space; S5, for the labeled area in the anomaly detection domain, iteratively generating a power prediction band based on Monte Carlo simulation; S6, activating a dynamic compensation algorithm, calculating a compensation coefficient and feeding the coefficient back to the power prediction band simulation input; S7, forming an anomaly detection-compensation adjustment-detection domain adaptive closed-loop iteration mechanism. The application quantifies the on-site uncertainty such as snow and hot spots in photovoltaic power prediction, and significantly improves the prediction accuracy and system response speed through the dynamic compensation and threshold adaptive mechanism.

The utility model provides a kind of anti-icing tower monitoring equipment, including monitoring main part, protective box, snow removing mechanism, snow removing plate, connecting rod, moving block, motor, transmission mechanism, linkage mechanism, when deicing, motor starts, its output end realizes the up-and-down movement of moving block in the process of rotation by transmission mechanism, moving block drives two connecting rods hinged with it, to make two snow removing plates synchronous action and swing at set angle under the action of linkage mechanism, and then break open the ice and snow covered on protective box, ice and snow after breaking open is separated from monitoring equipment under the action of gravity;Therefore, the utility model eliminates the problem of energy waste caused by the need to always open the electric heating wire in protective box until the ice and snow outside protective box is completely melted in traditional deicing mode.

The application discloses a power transmission line insulator snow cover identification method and device and electronic equipment. The method comprises the following steps: acquiring multiple insulator images; using an image enhancement method to respectively perform image enhancement processing on the multiple insulator images to obtain multiple first insulator images; using a pre-constructed denoising convolutional neural network to respectively perform denoising processing on the multiple first insulator images to obtain multiple second insulator images; inputting the multiple second insulator images into a pre-constructed initial insulator snow cover identification model for training to obtain a target insulator snow cover identification model; and using the target insulator snow cover identification model to identify a to-be-identified insulator image to obtain a snow cover identification result corresponding to the to-be-identified insulator image. The application solves the technical problem of low identification accuracy of the power transmission line insulator snow cover identification method in the related art and the inability to identify potential fault risks of the power transmission line in a timely manner.

A snow sock is provided that includes a covering that extends in a circumferential direction. The covering has a thickness and an outer surface. A first thickness section is present and extends along a first arc length, and has a first thickness section inner surface that engages the outer surface of the covering. At least 50% of the first thickness section inner surface engages the outer surface of the covering and / or a first fill element. A second thickness section is also provided and is spaced from the first thickness section. The second thickness section extends in the circumferential direction along a second arc length, and has a second thickness section inner surface that engages the outer surface of the covering. At least 50% of the second thickness section inner surface engages the outer surface of the covering and / or a second fill element.