1257 results about "Snow melting" patented technology

To provide a vehicular lighting tool having a snow melting function without degrading a design thereof.SOLUTION: A vehicular lighting tool includes: a lamp body opened in front; a lamp cover made of a translucent member and forming a lighting chamber by being attached to an opening of the lamp body; an extension member stored in the lighting chamber and arranged facing an inner surface of the lamp cover to hide an internal mechanism inside the lighting chamber from outside; and a heat generation member installed on the inner surface of the lamp cover and generating heat by power supply. A color of the heat generation member matches with a color of a facing surface of the extension member against the lamp cover. By using a heat generation member having the color matched with the extension member which is a background when viewed from a front side of the vehicle lighting tool, a degradation in design of the vehicular lighting tool is suppressed by preventing the heat generation member from being visible.SELECTED DRAWING: Figure 1

A system for purifying and delivering surface water from rain or snow-melt to the local aquifer in order to increase the local groundwater level, is disclosed. The system includes activated charcoal for removal of contaminants including per- and polyfluoroalkyl substances, commonly referred to as PFAS, from surface water prior to delivering the water to the aquifer.

The invention discloses a mixed forecasting method and system for snow-melting runoff, relates to the technical field of hydrological forecasting, and solves the technical problem of insufficient reliability of snow-melting runoff forecasting under complex terrain and meteorological conditions in the prior art. The method comprises the steps that a long-short-term memory network model, namely a DS-LSTM model, based on dynamic-static hybrid driving is constructed, training verification is conducted on the DS-LSTM model through a data set generated by research area data, and the DS-LSTM model captures the influence of early-stage meteorological elements on accumulated snow characteristics through long-period memory characteristics; describing the effect of a local static underlying surface on accumulated snow features through a multi-dimensional learning ability, replacing a snow accumulation and melting calculation module in a snow melting runoff model with a verified DS-LSTM model to obtain a snow melting runoff mixed forecasting model, and adopting the snow melting runoff mixed forecasting model to realize snow melting runoff mixed forecasting; according to the method, snow accumulation and melting calculation data of multi-factor dynamic correction can be provided for the snow melting runoff model.

The invention discloses a potential landslide identification method and system based on surface deformation cause analysis. The method comprises the following steps: acquiring radar data and preprocessing the radar data to obtain surface deformation phase data; an IDANet-1 network is constructed and trained, and an earth surface deformation abnormal area is obtained through prediction; respectively processing the terrain DEM data, the multi-temporal MODIS data and the optical image data to obtain ground surface settlement type, glacier snow melting type and mine collapse type ground surface deformation areas, performing union set operation, and performing difference set operation on the union set operation and a ground surface deformation abnormal area to obtain a landslide type ground surface deformation target; training an IDANet-2 network by using the landslide type surface deformation identification data set; and inputting the wide-area comprehensive remote sensing data into the IDANet-2 network model for reasoning to obtain wide-area potential landslide hidden danger distribution information. Through the technical scheme of the invention, multi-level combination of multi-source and multi-mode remote sensing data is realized, accurate identification of earth surface deformation information is realized, and the identification efficiency of large-area potential landslide hidden dangers is effectively improved.

The invention relates to the field of turnout snow melting control, and particularly discloses a turnout snow melting energy-saving control module system, which is characterized in that whether each heating loop of a turnout snow melting device is started or not is judged by monitoring the accumulated snow depth and temperature of a turnout section corresponding to each heating loop of the turnout snow melting device in real time; collecting multi-dimensional meteorological data of turnout sections corresponding to heating loops of the turnout snow melting device, and analyzing suitable heating power of the heating loops; tracking and monitoring the heating effect of each heating loop of the turnout snow melting device, judging whether the heating power of each heating loop of the turnout snow melting device needs to be adjusted or not, and obtaining adjustment information; the temperature of the turnout road section corresponding to each heating loop of the turnout snow melting device is monitored in real time, whether each heating loop of the turnout snow melting device is closed or not is judged, then intelligent control over the turnout snow melting device is achieved, self-adaptive adjustment is conducted on the heating power of the turnout snow melting device, the heating effect of the turnout snow melting device is guaranteed, and energy is saved.

The invention discloses a modularized distributed cold region hydrothermal coupling hydrological model which comprises the following steps: S1, dividing a drainage basin into a plurality of grids, and preparing a file required by a confluence process; s2, preparing driving data and grid feature description data of each grid; s3, calculating an energy balance process of the soil and vegetation surfaces by using an energy balance module; s4, calculating an evapotranspiration process by using an evapotranspiration module; s5, calculating an ice and snow melting process by using an ice and snow melting water module and adopting a degree-day factor method; s6, calculating soil moisture infiltration and an internal hydrothermal transmission process by utilizing a soil hydrothermal transmission and infiltration module; s7, calculating the runoff volume by using a runoff production calculation and confluence module; and S8, evaluating the simulation performance of the model through the model evaluation index. The device has a flexible modular structure, can automatically adjust the time step length, improves the simulation capability of the runoff process in the cold region, and can provide scientific guidance for water resource management in the river source region.

The invention relates to the technical field of snow melting disaster early warning, in particular to a snow surface rain disaster identification method based on a high and cold mountainous area and a related product, and the method comprises the steps: constructing a snow surface rain disaster single-point identification rule capable of being physically explained by using meteorological observation data and remote sensing inversion data of a small amount of weather stations in the high and cold mountainous area; the method is advantaged in that classification is carried out without depending on a black box model, precision and interpretability of single-point snow surface rain event discrimination are improved, regional popularization is carried out through dynamic downscaling simulation of a regional climate mode WRF coupling land surface process model Noah-MP, a point-surface fusion snow surface rain disaster discrimination and identification system is constructed, and the method is advantaged in that the method is simple and convenient to operate. The method is suitable for identifying snow rain disasters in complex terrain areas with high and cold areas, high altitude, large gradient, lack of data, even no data and the like, and solves the technical problems of insufficient snow rain disaster space identification capability and low precision caused by sparse observation data in the high and cold mountainous areas in the prior art.

The invention discloses a water conservation amount calculation simulation method based on an RCCC-WBM hydrological model, and the method comprises the steps: collecting hydro meteorological data in a research basin, calculating the average rainfall, air temperature and water surface evaporation amount of a lunar surface, and inputting the average rainfall, air temperature and water surface evaporation amount into the model; calculating and researching the average soil water content, the actual evapotranspiration, the surface runoff, the snow melting runoff and the underground runoff of the watershed for many years by adopting an RCCC-WBM model; according to the monthly-scale water source conservation amount calculation formula and the annual-scale water source conservation amount calculation formula, the monthly-scale water source conservation amount and the annual-scale water source conservation amount of the drainage basin are calculated respectively. The water conservation amount calculation formula provided by the invention can effectively avoid the negative value problem in water conservation evaluation, and the dynamic process of the basin water conservation amount can be calculated through the state variable and the intermediate output result of the RCCC-WBM model. The water conservation amount calculation method provided by the invention has less requirements on input data and parameters, and has a better simulation effect on a hydrological process.

The invention relates to the technical field of cold drink preparation equipment, and provides a snow melting machine which comprises a machine body, the machine body is provided with a charging barrel used for installing an evaporator and stirring blades and a machine shell assembly used for installing a driver assembly, and an output shaft of the driver assembly is in transmission connection with the stirring blades; the charging barrel and the machine shell assembly are detachably installed on the machine body, the machine shell assembly is located and installed at the end of the charging barrel, and the driver assembly is detachably installed on the machine shell assembly. The charging barrel is detachably installed on the machine body, the charging barrel can be conveniently detached and cleaned, after the charging barrel is detached, an evaporator of the snow melting machine and parts such as stirring blades on the evaporator can be conveniently cleaned, the machine shell assembly is detachably installed on the machine body, and the driver assembly is detachably installed on the machine shell assembly. And the driver assembly can be independently detached from the snow melting machine, so that the driver assembly of the snow melting machine can be conveniently maintained or replaced in the later period.

The invention relates to the technical field of road ice melting, and discloses a road ice melting implementation system and method. The system comprises a meteorological monitoring platform, a snow-melting agent spraying platform and a management and control platform, the method comprises the following steps: firstly, collecting meteorological data and monitoring a road surface state to obtain an initial road ice melting data set, and then carrying out anomaly detection and filling missing data; establishing a road ice melting prediction model based on the neural network, predicting whether the road is iced or not, and outputting a road icing result; then ice melting work is carried out, an enhanced hawk optimization algorithm is introduced to optimize spraying parameters in the ice melting work, and a road ice melting implementation strategy is generated; and finally, adjusting a road ice melting implementation strategy, and establishing a snow melting environment coupling model and an alarm mechanism. By analyzing and processing the road ice melting data, the purpose of implementing road ice melting is achieved, and the method is objective and accurate.

The efficient horizontal snow melting machine comprises an outer shell, an ice making assembly, an ice discharging assembly and a refrigerating system, the ice making assembly comprises an ice making shell, an ice making cup, an ice scraping knife and a synchronous motor, and the ice making shell is arranged at the top of the outer shell; according to the snow melting machine, the water storage cavity is arranged to convey water to the ice making shell, then the refrigerating system is arranged to cool the water in the ice making shell to form ice, then the ice is converted into smoothie through the ice making cup, the ice scraping knife and the synchronous motor of the ice making assembly, and finally the smoothie is output through the ice outlet assembly, so that efficient smoothie production is achieved, the overall structure is practical and reliable, and the snow melting machine is convenient to use. The operation is simple.

The utility model provides an intelligent snow and ice melting system for a steel structure roof. Comprising an intelligent control system (1), a snow melting and deicing system (2), an environment monitoring system (3), a first connecting line (4) and a second connecting line (5), the environment monitoring system acquires the roof state and transmits a signal to the intelligent control system, the intelligent control system judges whether to start the snow and ice melting system or not, and heating is started when the temperature reaches the lower limit value and the accumulated snow or ice thickness reaches the upper limit value. Stopping heating when the temperature reaches an upper limit value and the thickness of accumulated snow or ice reaches a lower limit value; after the snow and ice melting system is started for heating, the heating power of the adjustable infrared heating film is changed along with the change of the environment state of the roof, the heating power is reduced when the outdoor temperature is high and the snow body thickness and the ice body thickness are small, and the heating power is increased when the outdoor temperature is low and the snow body thickness and the ice body thickness are large. And the most ideal snow melting and deicing effect can be achieved with the minimum power consumption.

The utility model discloses a heat pipe and heat pump snow melting assembly utilizing a ground source, and belongs to the technical field of geothermal utilization. The underground buried pipe heat removal unit comprises a solution circulating pump, a circulating pipeline I, a U-shaped buried pipe type heat exchanger and measuring equipment I; an outlet end of the solution circulating pump is communicated with an inlet of the U-shaped buried tubular heat exchanger, the U-shaped buried tubular heat exchanger is pre-buried underground, and an outlet of the U-shaped buried tubular heat exchanger is communicated with an inlet of an evaporator heating chamber of the heat pump unit through the first measuring device. An outlet of an evaporator heating chamber of the heat pump unit is communicated with an inlet of the solution circulating pump through a first circulating pipeline. The composite pavement unit is heated by utilizing heat of a ground source, so that the temperature of the composite pavement unit is increased to the snow melting temperature, the composite pavement unit has better environmental compatibility and friendliness, resources can be reasonably utilized, and the snow melting process is free of pollution and corrosion phenomena.

The invention discloses a cold region land surface process river water and sediment model construction method, which comprises the following steps: selecting a target research drainage basin, extracting a drainage basin range ROI (Region of Interest), and collecting water and sediment data and related basic data in the drainage basin range; calculating a thermal erosion amount caused by temperature rise in the river reach, a snow melting erosion amount caused by snow melting, a water erosion amount induced by rainfall and a river ice erosion amount caused by ice running or flow ice scraping erosion of river ice in winter and spring; selecting landform characteristic parameters according to a river flow direction to construct a sediment transport coefficient of a river reach, establishing a cold region river water and sediment model according to the sediment transport coefficient and each erosion source item, and obtaining a sediment content simulation result based on the established cold region river water and sediment model; and evaluating the simulation performance of the model based on the established evaluation index. The method can dynamically respond to the erosion sand production and runoff sand transportation process of the cold region, provides timely and high-precision sand content calculation, and has important significance on water and soil conservation management and water and sand risk regulation and control of the cold region.

The utility model provides a roof snow melting and deicing device which solves the problems that it is troublesome to manually clean snow on a roof, and potential safety hazards are likely to happen. Comprising electric heating cloth which is laid on the surface of a snow accumulation layer, a waterproof layer is arranged on the side, facing the snow accumulation layer, of the electric heating cloth, and the electric heating cloth is electrically connected with a power supply system; edge baffles are detachably and fixedly arranged at eaves on the left side and the right side of the roof, and each edge baffle comprises a vertically-arranged vertical plate. Left-right through open slots are formed in the vertical plates, and the left end and the right end of the electric heating cloth penetrate through the adjacent open slots; a first steering frame is fixedly arranged on the side, away from the roof, of the edge baffle and located above the open groove, a vertically-through steering groove is formed in the first steering frame, and the end of the electric heating cloth upwards penetrates through the steering groove and then bypasses the end, away from the edge baffle, of the first steering frame to perpendicularly extend downwards. The vertical downward end of the electric heating cloth is connected with an automatic tensioning device used for tensioning the electric heating cloth to be attached to the top of the accumulated snow layer.

The road obstacle sweeping equipment comprises a vehicle body and a rolling brush, a suction fan used for sucking road obstacles is fixedly installed in the vehicle body, a suction pipe is fixedly installed at an air inlet of the suction fan, and a conveying pipe is fixedly installed at an air outlet of the suction fan; an air outlet pipe is fixedly installed at the top of the suction fan, the end, away from the suction fan, of a conveying pipe is fixedly connected to a sewage tank, a connecting valve pipe is fixedly installed on the right side of the inner wall of the sewage tank, and the end, away from the sewage tank, of the connecting valve pipe is fixedly connected to a clean water tank. According to the road obstacle sweeping equipment, ice and snow accumulated on the road surface are broken through the rolling brush, meanwhile, the snow melting assembly is attached to the residual ice surface on the ground, the ice surface is broken in a hot steam high-temperature melting mode, and then snow water obtained after snow melting and impurities are sucked into the sewage tank through the suction assembly to be stored; and meanwhile, a filtering piece is mounted on a baffle arranged in the sewage tank, so that passing snow water can be continuously softened.

The invention discloses a numerical simulation method, device and equipment for ice rock collapse starting and a medium, relates to the technical field of fluid motion simulation, and provides an FDEM-SPH coupling framework. Through a CIE unit in the FDEM method, crack propagation and fracture processes in rock masses are accurately simulated, and after the CIE unit is completely fractured, the FDEM method simultaneously simulates various contact forms between two separated finite units, so that mutual movement and interaction between fractured rock masses can be accurately described; ice and snow melting and movement in the ice-water phase change process are simulated through the smoothed particle flow SPH, and meanwhile, the interaction between ice-water phase change and rock mass fracture movement can be quantified by calculating the contact force between virtual particles in the smoothed particle flow SPH and the surface of a finite element in the finite discrete element method FDEM; the interaction reflects the erosion and impact of the ice-water phase change on the rock mass in the whole process and the actual physical condition in the ice rock collapse starting process, so that the ice rock collapse change more fitting the real condition is described.

The invention relates to the technical field of road deicing, in particular to a road surface ice melting system. The road surface ice melting system comprises a temperature measuring optical fiber, a DTS host, a control end and a plurality of ice melting devices. The temperature measuring optical fibers are laid on two sides of the pavement base layer; the plurality of ice melting devices are arranged on the two sides of the road surface; the temperature measuring optical fiber is divided into a plurality of temperature measuring sections, and the plurality of temperature measuring sections are in one-to-one correspondence with the plurality of ice melting devices; the DTS host can obtain the temperature values detected by the multiple temperature measuring sections in real time, and when the temperature values, obtained by the DTS host, of one or more temperature measuring sections reach the icing temperature threshold value, the control end controls the ice melting device corresponding to the temperature measuring section reaching the icing temperature threshold value to be started, so that hot water is sprayed to the road surface through the spraying head. According to the road surface ice melting system, the problems that an existing system for monitoring road surface icing has great misjudgment performance, if an organic snow melting agent is sprayed, the manufacturing cost is too high, and spraying of inorganic snow melting agents causes corrosive damage to a road are solved.

The invention belongs to the technical field of road deicing, and particularly relates to an environment-friendly snow and ice removing vehicle which comprises a vehicle body, an ice and snow removing device, a heating system and a water treatment system, the vehicle body is provided with an equipment bin, an ice and snow melting bin and an anti-freezing water bin, and a PV / T device used for providing electric energy for a motor and a vehicle-mounted hydrogen production device of the vehicle body is laid on the vehicle body; the ice and snow removing device is used for conveying ice and snow into the ice and snow melting bin; the heating system is used for heating ice and snow in the ice and snow melting bin; the water treatment system comprises a cyclone desanding device, an electrochemical disinfection device and a reverse osmosis device which are sequentially communicated, the cyclone desanding device is communicated with the ice and snow melting bin and used for removing large-particle impurities in water, the electrochemical disinfection device is used for removing microorganisms in the water, a water outlet of the reverse osmosis device is communicated with the anti-freezing water bin, and a water outlet of the reverse osmosis device is communicated with the ice and snow melting bin. And the water desalted and purified by the reverse osmosis device is discharged into the anti-freezing water sump. The system has the beneficial effects that the energy utilization efficiency is improved, and cyclic utilization of water resources is achieved.

The invention discloses a condensation structure of cold drink equipment and a snow melting machine, the cold drink equipment comprises a shell assembly and a fixing assembly, the fixing assembly comprises a chassis, the condensation structure of the cold drink equipment comprises a condenser, a vertical frame assembly is arranged in the shell assembly, the bottom of the vertical frame assembly is fixed on the chassis, and the bottom of the vertical frame assembly is fixed on the chassis. The vertical frame assembly is provided with an installation part matched with the condenser in shape, the condenser comprises a condensation straight pipe and condensation elbows, a refrigerant is contained in the condensation straight pipe, the condensation elbows are arranged on the upper side and the lower side of the condenser, and the refrigerant flows in the condensation straight pipe from top to bottom or from bottom to top. The condenser is fixed to the installation part, and the left side and the right side of the condenser abut against the left side wall and the right side wall of the installation part respectively. The snow melting machine comprises the condensation structure of the cold drink equipment. According to the invention, the floor area of the machine can be reduced, and the machine is convenient to carry, mount, dismount and maintain.

The invention relates to the technical field of railway turnout snow melting, in particular to railway turnout active snow melting maintenance equipment and an intelligent control method.The railway turnout active snow melting maintenance equipment comprises a turnout, an electrical cabinet, an air pump, a distribution pipeline at the output end of the air pump and induction heating equipment; the electrical cabinet performs electric control and transmits related signals, the multiple induction heating devices are continuously arranged at the rail web of the inner side of the turnout stock rail and used for heating and melting accumulated snow between the induction heating devices and a switch rail, and meanwhile cold air is input into the two ends through the air pump to cool an internal coil, then secondary heating is performed in a gap between a heat insulation layer and a steel plate, and the melted snow is discharged. According to the invention, turnout snow melting is carried out based on combination of electromagnetic heating and hot air, the snow melting efficiency is high, the energy consumption is low, no influence is caused on a steel rail, the preheating time is short, traffic is opened immediately after snow melting, and meanwhile, intelligent control of self-starting, self-monitoring and self-judging can be carried out according to environment and scheduling information, so that the energy consumption is further reduced.

The embodiment of the invention relates to the field of railway turnout snow melting, in particular to an electric heating assembly for a railway turnout slide plate. The electrical heating assembly may include a plug-in housing and a heating member. Wherein an opening part is formed in the plug-in housing, the opening part is arranged to allow the slide plate to enter the plug-in housing so as to be plugged with the plug-in housing, and the plug-in housing can be in heat conduction connection with the slide plate; and the heating piece is in heat conduction connection with the plug-in housing. According to the electric heating assembly provided by the embodiment of the invention, the insertion housing is inserted into the slide plate, so that the heat of the heating piece can be transmitted to the slide plate through the insertion housing, the slide plate does not need to be processed and transformed, the operation difficulty is reduced, and adverse effects on the strength of the slide plate are avoided.

The invention provides a turnout snow melting system and a control method thereof. The system is characterized in that a monitoring center is connected with a cloud server; the cloud server is connected with the meteorological station and the Internet of Things; the turnout snow melting equipment is used for melting accumulated snow and / or an ice layer on a turnout steel rail in response to the control instruction sent by the monitoring center; the rail temperature monitoring sensor is installed on a turnout steel rail and used for monitoring the first real-time temperature of the turnout steel rail in real time; the meteorological station is mounted beside a station corresponding to the turnout steel rail and used for monitoring meteorological information of the station; the Internet of Things is used for acquiring weather forecast information; the monitoring center is used for determining a control instruction according to the weather forecast information, the weather information and the first real-time temperature; the control instruction is used for controlling at least one turnout snow melting device in the snow melting area. Therefore, the turnout working efficiency of the turnout snow melting equipment is improved, and the railway transportation efficiency is further improved.

The stainless steel evaporator of the snow melting machine comprises an outer barrel, the outer barrel is filled with a refrigerating medium, and liquid is sprayed to the outer surface of the outer barrel, condensed and then scraped by a scraper; the inner barrel is a cylindrical shell which is provided with two open ends and is coaxial with the outer barrel, the first end of the inner barrel is connected with the end part of the outer barrel, and the second end of the inner barrel is outwards provided with a folded edge, so that a closed refrigeration cavity is formed between the inner barrel and the outer barrel; a notch is formed in the folded edge, a liquid inlet groove communicated with the notch is formed in the refrigerating cavity, and a refrigerating medium enters the refrigerating cavity through the liquid inlet groove. And the liquid inlet pipe extends into the liquid inlet groove through the notch. An original line contact conduction mode is changed into a surface contact conduction mode, the problems of poor contact and low conduction efficiency between the coil pipe and the outer barrel are effectively solved, a refrigerating medium rapidly absorbs heat of the outer barrel, and therefore the condensation effect is accelerated, and the refrigerating efficiency is improved.

The invention belongs to the technical field of natural disasters, and provides a space gridding snow disaster early warning method and device, equipment and a storage medium. The method comprises the following steps: completing analysis of daily snow melting characteristics and laws by using hour-by-hour snow depth data, proposing accumulated snow melting indexes on this basis, screening sensitive factors and sensitive time periods of accumulated snow melting through analysis of a collaborative change relationship between snow depth and air temperature, ground temperature and the like, determining index factors of snow melting prediction, establishing a snow melting prediction model, and predicting the snow melting. Performing regression calculation on the snow depth of each grid point in the target area by using the snow melting prediction model based on the historical snow depth of accumulated snow and the gradual time meteorological data, extracting the unique slope and intercept parameter of each grid point, and constructing a space gridding model; and based on the space gridding model, snow disaster early warning is realized. The method provided by the invention solves the problems of inaccurate prediction and low spatial quantification degree caused by snow melting deficiency in the current snow disaster early warning process.

The invention discloses a heating energy-storage snow-melting anti-cracking pavement structure system for a road. The system comprises a heat-conducting anti-cracking modified asphalt concrete surface layer, a temperature-adjusting emulsified asphalt macadam layer, a heating anti-cracking steel wire reinforced net, a heat-conducting anti-cracking asphalt concrete bottom layer, an energy-storage cement stable base layer, a PLC (Programmable Logic Controller), an energy storage battery, a solar panel and a temperature sensor. Through the heating function of the heating device, the whole road surface is heated, the road surface is uniformly heated, snow accumulation and icing on the road surface are prevented, and the ice and snow removing cost is reduced; the copper-plated steel fibers are added to the surface layer and the bottom layer of the asphalt concrete, so that the conductivity of the asphalt concrete is improved, and the heat-conducting capacity of the asphalt concrete is enhanced; graphite powder in the temperature-adjusting emulsified asphalt macadam layer has better uniform heat conduction performance, so that the emulsified asphalt macadam layer can form a uniform ultrathin heat conduction'panel '; a certain proportion of paraffin is added into the cement-stabilized base layer, the paraffin releases heat in a low-temperature state, and cracking caused by icing of water in the cement-stabilized base layer is prevented.

The invention discloses a runoff forecasting method of an EMD-BiLSTM model based on a snow melting multi-source factor, and the method comprises the steps: firstly building a prediction data set based on multi-source accumulated snow remote sensing data in combination with a hydrological station control basin and a snow melting confluence production process in an alpine region, and carrying out the preprocessing of the data set, performing time-frequency analysis on the runoff sequence by adopting an empirical mode decomposition method, decomposing a complex runoff signal into a plurality of basic mode components, and averaging the mode components to obtain an interpretable runoff change signal; a BiLSTM model is utilized to train a data set, meanwhile, an attention mechanism is introduced, a Bayesian optimization algorithm and a gradient cutting technology are adopted in the training process to determine an optimal hyper-parameter, and the problem of gradient explosion in the back propagation process is prevented. According to the method, high-precision prediction of the daily runoff of the alpine hydrological control basin is achieved through the model, and the method has high stability and generalization ability and is suitable for runoff prediction and water resource management in alpine regions.

The invention relates to the technical field of risk management and control of expressways and urban expressways, in particular to a real-time prediction method for asphalt pavement friction coefficients in ice and snow weather. Comprising friction coefficient prediction models of an iced road surface, a snowy road surface and a snowy ablation road surface. The influence factor for determining the friction coefficient of the iced road surface is the thickness of the ice layer, and a good exponential function relationship exists between the thickness of the ice layer and the friction coefficient. The friction coefficient of the snowy road surface is obviously influenced by relative sliding in the snow layer, and the thickness of the snow layer is the key for determining sliding between the inner layers of the snow layer. The accumulated snow melting road surface, the ice layer and the snow layer have negative effects on the anti-sliding performance of the road surface, and a good exponential function relation exists between the total ice and snow thickness of the accumulated snow melting road surface and the friction coefficient. According to the method, a friction system prediction equation is established by adopting a nonlinear regression method, real-time prediction can be carried out for different road surface states, and friction coefficient parameters are provided for traffic risk management and control of expressways in severe weather in winter and urban expressways in ice and snow weather.

The utility model discloses a vertical snow melting machine, including casing, refrigeration subassembly, drive subassembly and stirring subassembly, casing includes storage barrel, refrigeration subassembly includes evaporator, storage barrel and evaporator are both vertically set, drive subassembly includes drive motor, the stirring subassembly includes first scraper piece or second scraper piece, and the first scraper piece or second scraper piece is connected with the first scraper piece or second scraper piece. The first scraper piece or the second scraper piece is vertically connected with the driving motor, the first scraper piece is provided with an ice cream scraper part, and the ice cream scraper part spirally extends downwards along the inner side wall of the storage barrel; a plurality of notches are formed in the inner side edge and the outer side edge of the ice cream scraper part; and the second scraper part is provided with a smoothie scraper part. By the adoption of the ice cream maker, the transverse occupied space can be saved, the size is small, smoothie and ice cream can be made, and different requirements of users can be met.

The invention provides a spectrum prediction method of a snow ablation optimization algorithm based on chaotic mapping good point set initialization and simulated annealing, a program, equipment and a storage medium. The improved snow ablation optimization algorithm is adopted to optimize key parameters in the spectrum prediction model, the positions of individuals in the population are initialized based on the chaotic mapping good point set, and the uniformity and randomness of the initial population are effectively improved; on the basis of a double-population mechanism of the snow ablation optimization algorithm, one population keeps an original individual position updating mode, the other population introduces a probability acceptance mechanism of simulated annealing, a neighborhood solution is accepted at a certain probability to update the position of an individual, and the global search ability of the algorithm is enhanced; the disturbance amplitude in the search process is controlled by using a temperature attenuation mechanism, the convergence speed is improved, the optimization precision is improved, and the robustness of the algorithm is enhanced. Compared with other algorithms, the method is better in effect, the prediction performance is greatly improved, and the method can be suitable for different channel environments.