767 results about "Snowpack" 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 embodiment of the invention provides a snow depth inversion method and system based on a random forest. The snow depth detection method is applied to the technical field of snow depth detection, and comprises the following steps: selecting an acquisition area, acquiring snow depth data in a predetermined acquisition area, and preprocessing to obtain processed data; selecting a prediction variable and a target variable, training the random forest model to obtain a trained random forest model, and performing precision verification; and inputting snow depth data acquired in real time into the trained random forest model, performing snow depth prediction, and outputting to obtain a prediction result. In this way, active microwave high-resolution snow depth data and passive microwave inversion of the mountain snow depth are combined, and Sentinel-1 inversion snow depth data are taken as a training target, so that the inversion precision of the mountain snow depth is improved.

The invention discloses a plateau mountain area avalanche susceptibility intelligent assessment method, and relates to the technical field of high mountain ice and snow disaster space early warning and risk mapping. According to the method, the influence of the microtopography is captured by adopting high resolution, the evaluation accuracy is improved, the control effect of the slope microtopography (the scale of 30-50 m) on the accumulated snow stress field can be accurately captured by adopting a factor map layer (based on data such as 12.5 mALOSPALSARDEM and Landsat-8OLI images) with the spatial resolution of 12.5 m, and compared with traditional 30mDEM and hectometer-level meteorological reanalysis data, the method has the advantages that the evaluation accuracy is greatly improved, and the evaluation efficiency is improved. Spatial differences of key factors such as terrains, earth surfaces and meteorology can be depicted more carefully, more accurate basic data support is provided for avalanche susceptibility assessment, and missing of key microtopography influence factors due to insufficient resolution is avoided.

The snow sweeping robot and the snow sweeping system disclosed by the application, wherein the snow sweeping robot comprises: a snow sweeping device, a vehicle body fixedly connected with the snow sweeping device for carrying the snow sweeping device to move, the vehicle body is provided with a battery mounting position for fixing a battery, and the snow sweeping robot further comprises a charging module for charging the battery, and the charging module is arranged at the bottom of the vehicle body to charge the snow sweeping robot from the bottom to the top. The snow sweeping robot disclosed by the application is provided with the charging module on the lower surface of the chassis, so that the whole vehicle body plays a shielding role, and snowflakes cannot fall on the surface of the charging module when it snows, so that the charging module is prevented from being hindered by accumulated snow on the surface.

The invention discloses an accumulated snow coverage analysis method and system and a medium, and the method comprises the steps: obtaining a plurality of pieces of to-be-processed satellite data of a to-be-analyzed region; performing feature extraction on the to-be-processed satellite data to obtain multi-dimensional feature data of each preset pixel; analyzing the multi-dimensional feature data, and determining a first accumulated snow identification result; respectively determining a plurality of target preset pixels geographically covering each preset geographic grid; carrying out statistics on distribution of the first accumulated snow identification results of a plurality of target preset pixels in each preset geographic grid, and determining a state statistical index; constructing a time data sequence of a preset geographic grid; analyzing the time data sequence of each preset geographic grid, and determining a second accumulated snow identification result of each preset geographic grid; and generating an accumulated snow coverage data set of the to-be-analyzed area based on the second accumulated snow identification result. The precision of the accumulated snow coverage data is improved.

The invention relates to the technical field of data processing, and discloses an accumulated snow depth detection method and system based on satellite navigation signals. The method comprises the steps that GNSS multi-band signals are collected through a multi-angle fusion antenna array, and direct and reflected signal components are obtained; performing phase tracking on the signal component to obtain an instantaneous phase difference sequence and a Doppler compensation parameter; analyzing the phase difference sequence by using an improved Lomb-Scargle algorithm, and extracting accumulated snow characteristic frequency and amplitude parameters; establishing a double-layer medium reflection model based on the characteristic parameters and performing terrain correction to obtain a theoretical phase difference curve; and through a multi-satellite collaborative inversion algorithm matching theory and an actually measured phase difference, outputting an accumulated snow depth measurement value. According to the invention, the problems of difficult multipath signal separation, poor terrain adaptability and unstable inversion precision in the existing GNSS reflected signal accumulated snow detection technology are solved, and the accuracy and reliability of accumulated snow depth detection under complex terrain conditions are improved.

The invention provides an ice layer thickness identification and stress sensing cooperative navigation monitoring method and system, and relates to the technical field of ship navigation safety monitoring. The method comprises the following steps: acquiring and preprocessing sea ice images around a ship in real time; a self-built data set is made through labeling, a deep learning model is selected for segmentation, segmentation results of the snow accumulation layer and the ice layer are obtained, mask pixel values of the snow accumulation layer and the ice layer are obtained, and then the actual thickness is calculated; acquiring real-time stress data; using a timestamp synchronization mechanism to match the sea ice image of the time corresponding frame and the stress data; carrying out the normalization processing of the sea ice image and the stress data, carrying out the weight fusion of the normalized data, and calculating a comprehensive risk coefficient; a risk early warning level is output according to the interval where the coefficient is located; and when the coefficient exceeds a set threshold value, sound-light alarm and interface warning information are sent out. According to the invention, through collaborative analysis and risk assessment of multi-dimensional data, the sailing safety of the ship in the polar region and the sea ice region is improved.

Techniques for detecting blockage of a utility meter or other networked device are described. The blockage may be natural, e.g., snow, ice, and / or biomass. The blockage (e.g., aluminum foil) may be an intentional attempt to tamper with the device. In both cases, the blockage material may interfere with radio frequency (RF) communications of the networked device with other devices on a network. For example, snow, ice, biomass, and / or aluminum foil may prevent a networked utility device (e.g., a metering device) from reporting consumption data to a data-collecting device. Blockage may be detected based at least in part on the use of optical sensors and / or RF sensors. In one example, an out-going optical signal (e.g., infrared light) may be reflected off blockage material and the reflection may be received and processed. In a further example, an in-coming RF signal may be attenuated and / or frequency-shifted thereby revealing aspects about the blockage material.

The invention provides an accumulated snow monitoring method and device, a storage medium and electronic equipment, and the method comprises the steps: triggering a snowstorm emergency response task when a target condition is detected, carrying out the projection conversion of weather forecast data, target sensor data, accumulated snow data, a meteorological satellite map and a target text which belong to the same grid at a current time point according to latitude and longitude coordinates, and obtaining a snowstorm emergency response task; the feature vectors corresponding to the grids are obtained, the feature vectors corresponding to the grids are input into the graph neural network, multi-modal feature fusion is carried out according to the spatial adjacency relation between the grids, and the current accumulated snow fusion state corresponding to the target road section in each grid is obtained. The multi-modal feature fusion is carried out according to the spatial adjacency relationship between the grids, so that the final accumulated snow state representation of each grid is fused with the influence of the surrounding environment, the noise is effectively smoothed, the data blank area is filled, and the accuracy of the current accumulated snow fusion state acquisition result corresponding to the target road section in the grid is ensured.

A snow blower device having a housing forming a cavity configured to receive snow. A rotatable auger is supported by the housing and positioned within the cavity to gather and direct snow into a discharge chute having a lumen extending from the inside of the housing to the outside of the housing. The device further includes a blade combined with the frame and movable between a retracted position and an engaged position. In the retracted position the blade is positioned to let the snow reach the auger when the snow blower is moved in the forward direction. In the engaged position the blade is moved downward so that it contacts the ground surface and functions as a plow or snow push when the snow blower is moved in a backward direction.

The invention discloses an avalanche monitoring and early warning system which comprises a support, the support is composed of at least two stand columns, a plurality of pressure-bearing snowboard assemblies are arranged in the longitudinal direction of the support, each pressure-bearing snowboard assembly comprises a sliding rail, the two ends of the sliding rail are fixedly connected with the stand columns, a sliding block is arranged on the sliding rail, and a pressure-bearing snowboard is fixedly arranged at one end of the sliding block. The pressure-bearing snowboard is perpendicular to the moving direction of accumulated snow, the other end of the sliding block is connected with a monitoring sensor through a pull wire, the monitoring sensor is electrically connected with a far-end intelligent terminal, snowboard limiters are fixedly arranged on the sliding rail and located on the two sides of the sliding block, and a buffer spring is arranged between the snowboard limiter located on the upstream of the moving direction of the accumulated snow and the sliding block. A reset spring is further fixedly connected to the sliding block in the direction opposite to the accumulated snow moving direction. According to the invention, by arranging a plurality of groups of monitoring units in the vertical direction, independent sliding amount analysis of different depths of a snow layer is realized; the device is simple in structure, more direct and accurate in monitoring, lower in cost, easy to assemble and deploy and high in reuse rate.

The invention discloses an air-ground cooperative photovoltaic panel intelligent snow removal system, and relates to the technical field of intelligent control. A central intelligent scheduling management subsystem is used for receiving operation and maintenance requirements of a photovoltaic power station, planning a routing inspection path, receiving a routing inspection result, analyzing the routing inspection result, and generating an optimal snow removal scheme; the parking station unmanned aerial vehicle subsystem is used for collecting surface data of the photovoltaic panel according to the inspection path and analyzing the surface data of the photovoltaic panel by adopting an accumulated snow automatic identification model to obtain an inspection result; and the ground operation vehicle subsystem is used for cleaning the snow accumulation area according to the optimal snow removal scheme and uploading a cleaning result to the central intelligent scheduling management subsystem. The problems that an existing photovoltaic panel snow removal technology is low in efficiency, poor in adaptability and lack of air-ground cooperative linkage are solved, whole-process intelligentization of routing inspection, diagnosis, sweeping and dispatching is achieved, and the operation and maintenance efficiency and power generation stability of a photovoltaic power station under extreme climate and complex terrain are improved.

The invention relates to the technical field of satellite navigation meteorological remote sensing, and discloses a water vapor ionized layer snow depth integrated detection method and system. The method comprises the steps that direct and reflected signals of a Beidou satellite are received through fusion antenna array differentiation, carrier phase and pseudo-range observation values are obtained through carrier tracking loop synchronous demodulation, the total atmospheric rainfall amount and the total ionosphere electron content are extracted through a troposphere and ionosphere combined calculation algorithm, the snow depth is inverted through reflection path geometric difference, and the snow depth is calculated. And carrying out space-time synchronization constraint processing on the extended Kalman filter to realize multi-parameter integrated detection. The problems of low efficiency, insufficient precision and lack of cooperative processing caused by independent observation of water vapor, ionized layer and accumulated snow parameters in the prior art are solved, and the observation efficiency and the measurement precision of multi-parameter integrated detection are improved.

The invention discloses a photovoltaic panel cleaning device capable of intelligently removing snow, and relates to the technical field of photovoltaic panel cleaning, the photovoltaic panel cleaning device comprises a main body mechanism, the main body mechanism comprises a photovoltaic panel body, the photovoltaic panel cleaning device capable of intelligently removing snow is provided with a cleaning mechanism, accumulated snow on the surface of the photovoltaic panel body can be removed, and the cleaning efficiency is improved. A scraper blade is worn after long-time use, a first spring in a compressed state extends in an inner cavity of a moving groove under a counter-acting force to push the scraper blade to move downwards, so that the scraper blade is in contact with the surface of the photovoltaic panel body again, and the cleaning stability is further ensured; a connecting plate is pushed to move downwards under the counter-acting force of a second spring; the collision rod drives the rubber head to make contact with the photovoltaic panel body, a thin ice layer formed by the photovoltaic panel body cleaned by the scraper blade can be crushed, the cleaning effect on the photovoltaic panel body can be further improved, meanwhile, after the ice layer is damaged, sunlight can penetrate through ice layer fragments, and the light energy absorption efficiency of the photovoltaic panel is 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 an intelligent avalanche susceptibility assessment method fused with a deep residual network, and relates to the technical field of geological disaster risk assessment. According to the method, the spatial precision is high, the 12.5 m high-resolution DEM and 10 multi-source evaluation factors are adopted, the influence of the microtopography on the stability of accumulated snow can be accurately recognized, and the avalanche point hit rate reaches 82.5% and is far higher than that of a traditional method (generally lt: 70%); the model is excellent in performance, the interpretability of a shallow model is reserved through a two-stage framework of an integrated learning primary model and a residual network, nonlinear interaction among factors is captured through a deep network, and AUC of ResMLP is equal to 0.8496 and is improved by more than or equal to 4% compared with the primary model; the method is high in generalization stability, the prediction variance is reduced by about 12% on the premise that the training cost is not increased by introducing a TTA mechanism with Gaussian noise added, the method is particularly suitable for a high-altitude small sample area, and the overfitting problem is effectively relieved.

The invention discloses a cable protection device for hydroelectric power generation, and relates to the technical field of electric power facility protection, the cable protection device comprises a rack, a monitoring mechanism, an accumulated snow cleaning mechanism, an icebreaking mechanism, a rotary cutting mechanism and a walking mechanism, the inner side of the rack is also provided with a snow removing mechanism at the rear side of the accumulated snow cleaning mechanism, and the two side surfaces of the rack are also provided with photovoltaic panels; a V-shaped groove wheel lateral clamping design is adopted, ice nodule clamping stagnation is avoided, the device is suitable for a large-gradient cable, the limiting protection mechanism can prevent the cable from being excessively lifted during operation, in addition, the limiting protection mechanism can be used for protecting the cable from being lifted, and the cable is prevented from being damaged. According to the ice breaking device, the modes of mechanical extrusion, rotary cutting, heat energy assistance, ultrasonic resonance and the like are fused, the integrated design is achieved, the ice breaking device can adapt to various ice types, ice condition recognition and ice breaking force closed-loop control can be achieved through fusion of multiple sensors, and therefore efficient snow or ice removal on the cable is achieved.

The invention discloses an energy storage device based on top type photovoltaic power generation of a workshop in a science park, and relates to the technical field of photovoltaic energy storage, the energy storage device comprises an energy storage mechanism, a first covering mechanism is arranged right above the energy storage mechanism, and two groups of symmetrically arranged second covering mechanisms are jointly arranged in the energy storage mechanism and at the bottom of the first covering mechanism; stretching mechanisms are arranged at the tops of the two sides of the energy storage mechanism, photovoltaic power generation mechanisms are arranged at the bottoms of the two sides of the energy storage mechanism, and traction pushing mechanisms are jointly arranged in the energy storage mechanism and in the middle of the side face of the energy storage mechanism; and any group of second covering mechanism comprises a winding shaft which is rotationally nested in the base box body through a bearing. A maintenance channel can be formed above the photovoltaic power generation mechanism, intensive installation is facilitated, the power generation amount is guaranteed, meanwhile, the maintenance difficulty is reduced, and in rainy and snowy weather, the problems that the cleaning difficulty is large, the service life of a photovoltaic panel is shortened and the like due to attachment and accumulation of rainwater or accumulated snow can be solved.

The utility model discloses a photovoltaic system manual snow removing device convenient to operate, and belongs to the field of photovoltaic technology, a photovoltaic system comprises a photovoltaic support and a photovoltaic assembly array installed on the top of the photovoltaic support, the snow removing device comprises a transmission part, a snow removing part and a manual driving part, the transmission part is installed on the photovoltaic support, and the snow removing part is installed on the transmission part. The transmission part comprises a transmission wheel and an annular moving part, the snow removing part is connected with the annular moving part and is driven by the annular moving part to move along a longitudinal moving path, so that the snow removing part passes through the photovoltaic module array from top to bottom in the longitudinal direction and removes accumulated snow, the manual driving part comprises an operated part installed on the stand column, and the operated part can be operated. Therefore, the manual driving part operates and drives the transmission part. The snow remover can realize manual snow removal after snow, is simple to operate, and can reduce the operation and maintenance difficulty at the same time.

This utility model provides a road snow removal device, belonging to the field of road snow removal technology. The road snow removal device includes: a mounting frame, a first rotating shaft, a first spiral blade, a second spiral blade, a snow discharge hole, a support base, a second rotating shaft, a snow discharge fan, a snow throwing hole, and a snow throwing tube. By mounting multiple first spiral blades and multiple second spiral blades on the outside of the first rotating shaft, when the first rotating shaft is rotated, it drives the multiple first spiral blades and multiple second spiral blades to rotate, thereby enabling the first and second spiral blades to disperse accumulated snow and ice, facilitating the removal of snow and ice and improving the user experience. By positioning the snow discharge hole between the first and second spiral blades, and arranging the first and second spiral blades opposite to each other, the first and second spiral blades work together to push accumulated snow at the snow discharge hole, preventing snow from being discharged through the snow discharge hole.

To provide an antenna snow melting device that can simplify the calculation of the power required to melt snow.SOLUTION: An antenna snow melting device 400 attached to an antenna reflector 500 includes an imaging unit 401 that images the antenna reflector 500, a measuring unit 402 that acquires imaging data of the antenna reflector 500 from the imaging unit 401 and measures the snow accretion rate, which indicates the rate of snow accretion per unit area of the antenna surface of the antenna reflector 500, on the basis of the acquired imaging data, and a control unit 403 that controls a heating unit 501 installed on the antenna reflector 500 on the basis of the snow accretion rate of the antenna surface of the antenna reflector 500.SELECTED DRAWING: Figure 13

The invention provides a surface water-underground water integrated simulation method and system coupled with a glacier module, the method is based on an extended SWAT-GL model, rainfall, accumulated snow melt water and glacier melt water are jointly used as daily effective rainfall input, infiltration supply and river water level are transmitted to MODFLOW through a daily interface, and the water level of the MODFLOW is effectively simulated. And simulating underground water head change and surface water-underground water exchange capacity by utilizing a three-dimensional underground water flow equation, and feeding back a result to SWAT-GL river water balance, thereby realizing bidirectional dynamic coupling of the glacier-accumulated snow-surface-underground water whole process. The system breaks through the limitation that glacier mass balance and groundwater dynamics are difficult to depict synchronously in cold region simulation, can reveal a supply and regulation mechanism of glacier melt water to a groundwater system under the driving of climate change under a fine time scale, and remarkably improves the simulation capability of a cold region water circulation key process.

The application relates to the technical field of distribution boxes, in particular to a distribution box device with temperature regulation function, which comprises a distribution box body, a bottom shell is fixedly installed at the bottom of the distribution box body, heat dissipation grooves are formed in the left and right sides of the distribution box body, a partition plate is fixedly installed at the bottom of the inner cavity of the distribution box body, a control assembly is arranged on the surface of the bottom shell, the control assembly comprises a rotary motor, a cleaning assembly is arranged on the surface of the distribution box body, the cleaning assembly comprises an electric telescopic rod, the electric telescopic rod is fixedly installed at the back of the distribution box body, the temperature in the inner cavity of the distribution box body is kept in a proper interval through the control assembly, the temperature in the inner cavity of the distribution box body is regulated, the accumulated snow or insect corpses on the top of the distribution box body can be pushed away through the cleaning assembly, the snow or insect corpses can be prevented from being on the top of the distribution box body for a long time, and the pollution of the distribution box body is avoided.

The application discloses a switch snow state self-adaptive snow melting method combined with image recognition and concretely relates to the technical field of railway switch snow melting control, obtains continuous images of joint seams of snow melting switch, root parts of switch rails and adjacent seamless rail reference areas, environment temperature and working states of snow melting devices; the continuous images are registered according to the geometric boundary of the rail, the joint seam dark band width, the ice surface reflection spot, the snow ridge edge and the melting water texture are extracted, and the image state feature set is formed; the image state feature set is compared with the reference area variation, the joint seam hidden snow bridge state and the thermal response lag level are generated; the residual snow risk sequence of each joint seam section is determined according to the above, the snow melting power and the action time are adjusted in sections; the hidden snow bridge state is updated and corrected through the residual error of the image state feature set after heating, and the snow melting is stopped when the safety condition is met; the application can identify the hidden snow and thin ice in the joint seam, and improve the switch snow melting accuracy and the close reliability.

A power battery pack bottom protection device and a vehicle, which relate to the field of vehicle body parts, comprising: a front support assembly comprising a front support and a front lock buckle arranged thereon, the front support being arranged on the bottom of the vehicle body and at the front side of the power battery pack; a rear support assembly comprising a rear support and a rear lock buckle arranged thereon, the rear support being arranged on the bottom of the vehicle body and at the rear side of the power battery pack; a bottom guard plate assembly comprising a bottom guard plate and a plurality of lock buckles arranged thereon, the bottom guard plate being arranged on the front support and the rear support and used for safely protecting the bottom of the power battery pack, the plurality of lock buckles cooperating with the front lock buckle and the rear lock buckle to fix the bottom guard plate; and side fenders connected with the front support and the rear support and used for preventing foreign matters from entering the gap between the bottom guard plate and the bottom of the power battery pack. The device can prevent water stains, accumulated snow or mud from freezing into ice layers on the bottom surface of the power battery pack in a low-temperature environment in winter and prevent the bottom of the power battery pack from being physically damaged by impact, scratching and the like.

The application relates to the technical field of water quality detection, and discloses a water quality detection device in an extremely cold environment, which comprises an ice surface collecting vehicle and an under-ice sampler; the ice surface collecting vehicle is used for collecting snow and ice columns on the ice surface; the under-ice sampler is used for sampling liquid water under the ice; the main body of the under-ice sampler is a floating body structure and can float to the bottom of the ice surface under water; a backwash wing is arranged at the front end of the under-ice sampler and is used for providing a forward moving impact force by means of water flow; a permanent magnet is arranged in the under-ice sampler, a magnetic track is arranged in the ice layer, or a magnetic block is arranged at the bottom of the ice surface collecting vehicle; if the thickness of the ice layer is small, the ice surface collecting vehicle is used for navigation; and if the thickness of the ice layer is large, a preset magnetic track is arranged at the bottom of the water. The under-ice sampler cooperates with the ice surface collecting vehicle to work, the under-ice sampler is not provided with a driving system, the initial power is provided by the water flow under the ice, the ice surface collecting vehicle or the preset magnetic track is used for providing guidance, the path of the under-ice sampler is controlled, and the fixed-point sampling is completed.

1. Name of the designed product: hair dryer. 2. Use of the designed product: for blowing, for example, for blowing dryness of the surface of an object, for blowing dust, fallen leaves or accumulated snow. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design. 6. Other circumstances needing to be explained: the various views of design 2 variation state 1 show that the air duct of the hair dryer is pivoted upward at a first angle relative to the handle, the various views of design 2 variation state 2 show that the air duct of the hair dryer is pivoted upward at a second angle larger than the first angle relative to the handle, and the various views of design 2 variation state 3 show that the handle of the hair dryer is pivoted downward relative to the handpiece.

The invention discloses a multispectral remote sensing avalanche identification method, and relates to the technical field of remote sensing, and the method comprises the following steps: S1, obtaining a multispectral remote sensing image covering a target area, selecting different ground feature types to arrange sample points, extracting the pixel value of each sample point in each wave band of the image, and drawing an average spectrum curve of each type of ground features; and S2, based on the average spectrum curve, screening a candidate wave band with the maximum difference between the pixel value of the snow body and the pixel value of other ground features, and carrying out a spectrum uniformity test and a ground feature separation degree test on the candidate wave band. According to the multispectral remote sensing avalanche identification method provided by the invention, the accuracy and the reliability of avalanche identification in a complex terrain are remarkably improved by optimizing a multispectral remote sensing waveband combination and introducing double constraints of textural features; the spectrum difference between an avalanche accumulation body and background such as surrounding accumulated snow and vegetation is effectively amplified, and the labor cost and the safety risk of field investigation are remarkably reduced.

The invention discloses a ventilation system and construction method for a frozen soil roadbed slope in a high and cold snow area, and belongs to the technical field of frozen soil roadbed engineering. The ventilation system comprises longitudinal ventilation pipes, L-shaped ventilation pipes and transverse ventilation pipes arranged between every two adjacent longitudinal ventilation pipes at intervals; a wind direction control device is arranged at the joint of each longitudinal ventilation pipe and the corresponding transverse ventilation pipe, and wind is controlled to flow into the ventilation pipes with the higher temperature through the wind direction control devices. According to the system, through linkage cooperation of the wind direction control device and the active opening and closing device, active intervention and accurate adjustment of the roadbed temperature field are achieved in the ventilation pipe roadbed.

The utility model relates to a greenhouse with a snow removal function, which is characterized in that the face of the greenhouse comprises a plurality of independent areas, and the independent areas are transversely separated and extend to the ground; and the face of the independent area has a heating function. The surface of the greenhouse is divided into a plurality of separated independent areas, the heating effect of the face of the greenhouse is integrated, the portion, making contact with the face of the greenhouse, of accumulated snow can be melted, finally, the accumulated snow in each independent area can automatically slide down under the action of gravity, and the automatic cleaning effect is achieved; compared with the prior art, excessive structures are not added, the automatic cleaning function is achieved through shape improvement, and therefore the automatic cleaning device has the advantage of being simple in structure.