150 results about "High elevation" patented technology

The invention discloses a multi-target intelligent optimization method and system for blasting parameters of a strip mine in a high-altitude cold region. The method comprises the following steps: carrying out data acquisition to obtain a parameter data set; performing data preprocessing on the parameter data set to obtain a feature sample set; constructing an initial blasting parameter model based on a machine learning algorithm, and performing hyper-parameter optimization on the model to obtain a blasting parameter model; a multi-objective optimization function is constructed: based on the multi-objective optimization function and the blasting parameter model, solving is carried out in combination with environmental condition constraints, and a pareto optimal solution set is obtained; according to the pareto optimal solution set, a representative solution is selected, a visual scheme is generated, and blasting parameter optimization of the strip mine in the high-altitude cold region is completed. According to the method, temperature, oxygen and frozen soil constraint conditions of the high-cold and high-altitude environment are introduced, blasting safety, lumpiness uniformity and the explosive utilization rate are considered at the same time through multi-target collaborative optimization, the method can adapt to the extreme environment, meanwhile, the one-sidedness of single-target optimization is avoided, and the intelligent level of blasting design and implementation is greatly improved.

The invention discloses an intelligent identification method for high-position collapse geological disasters. The method comprises the steps that INSAR monitoring data, a radar topographic map and a remote sensing image map of a to-be-identified area are acquired; obtaining surface deformation information according to the INSAR monitoring data, and determining a hidden danger area according to the surface deformation information and a radar topographic map; registering the remote sensing image map of the hidden danger area based on the radar topographic map; and inputting the registered remote sensing image into a high-position collapse and slip identification model constructed based on CNN and RNN networks, and carrying out accurate identification on the high-position collapse and slip geological disaster point. According to the method, information of different data sources is fully utilized, the comprehensive capability and accuracy of geological disaster monitoring are improved, geological disaster monitoring is carried out on high-altitude collapse through multi-level and multi-angle analysis in combination with a deep learning network, the geological disaster occurrence place in a high-altitude area can be accurately recognized with high precision, and the geological disaster monitoring efficiency is improved. And scientific support is provided for geological disaster prevention and control work in high-altitude areas.

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 relates to the field of ropeway monitoring, and discloses a roundabout ropeway stress monitoring and early warning method and a roundabout ropeway stress monitoring and early warning system which are used for solving the problem that when a ropeway built in a high-altitude area is monitored, obtained stress data are inaccurate due to regional special environmental factors. Sensors are arranged at cableway cable monitoring points, stress data, load data and image data of all the monitoring points are collected in real time, an initial cableway stress index is obtained through comprehensive analysis and calculation, environment data of the environment where the cableway is located are collected, and adjustment factors are obtained through evaluation according to the environment data; the method comprises the following steps: calculating to obtain an actual cableway stress index according to an initial cableway stress index and an adjustment factor, dynamically adjusting a stress safety threshold according to the adjustment factor to obtain an actual stress safety threshold, and carrying out early warning and reminding according to the actual cableway stress index and the actual stress safety threshold, thereby effectively improving the accuracy of monitoring data. And the cableway safety is improved.

Implementations are described herein for obtaining a sequence of high-elevation images capturing a particular geographic area during a particular time period in a plurality of spectral bands; applying the sequence of high-elevation images as input to upstream machine learning model(s) to generate remote sensing embeddings indicating terrain feature(s) of the particular geographic area; applying agricultural data obtained from a local agricultural knowledge graph as input to additional upstream machine learning model(s) to generate agricultural knowledge embedding(s); inferring a natural-language description of a status of the particular geographic area based on generating: an aggregate representative embedding that semantically represents a plurality of agricultural conditions of the particular geographic area, and a natural-language description of one or more of the plurality of agricultural conditions of the particular area using a large language model; and causing a user device associated with an agricultural entity to present the natural-language description of the status.

The invention relates to a landslide simulation system and method based on a high-altitude cold region, relates to the technical field of simulation tests, and aims to enable data obtained by a landslide simulation test to be more real and accurate and provide scientific basis and technical support for design and construction of a tailing pond in the high-altitude cold region. Comprising a temperature control device, a landslide simulation device, a monitoring device and a control device, the temperature control device comprises a sealed box body structure, a rainfall structure, a refrigeration structure and a heating structure, the water spraying end of the rainfall structure is arranged in the sealed box body structure, the refrigeration structure and the heating structure are both communicated with the sealed box body structure, and the sealed box body structure is fixedly communicated with an exhaust structure; the temperature control device is used for simulating a freeze-thaw cycle phenomenon; the landslide simulation device is used for simulating a landslide scene under a freezing and thawing cycle; the monitoring device is used for monitoring landslide conditions in real time; the control device is electrically connected with the refrigeration structure, the heating structure, the rainfall structure, the landslide simulation device and the monitoring device.

The invention relates to a generation power control method, device and equipment of a slope type gravity energy storage system, a storage medium and a program product, and relates to the technical field of gravity energy storage. By adopting the method, the flexibility of the output power of the slope type gravity energy storage system can be improved. The method comprises the following steps: determining power generation distribution power of each current available power generation unit according to a total power generation power instruction and the number of the current available power generation units; according to the power generation influence factors and the power generation distribution power, the target speed per hour of the truck in the constant-speed gliding stage is determined; according to the target speed per hour and a preset acceleration condition of the truck, the accelerated gliding time of the truck is determined, and according to the accelerated gliding time, the decelerated gliding time of the truck is determined; and in response to a power generation starting signal for the slope type gravity energy storage system, according to the target speed per hour, the accelerated gliding time and the decelerated gliding time, multiple batches of trucks in each current available power generation unit are controlled to glide on the high-altitude platform of the current available power generation unit in sequence.

The invention provides a double-antenna sea surface height monitoring method based on GNSS-IR, and belongs to the technical field of GNSS-IR sea surface height monitoring. The method comprises the following steps: establishing a double-antenna GNSS-IR monitoring device; respectively extracting direct and interference signal observation values; performing direct and reflected signal separation on the signal-to-noise ratio data under the low elevation angle and the high elevation angle respectively; reflecting surface height characteristic values in the low-elevation-angle reflection component and the high-elevation-angle reflection component are calculated respectively; and error elimination is carried out on the height of the inverted reflecting surface, and the inversion precision is calculated by comparing with tide station data. According to the method, the limitation of a traditional GNSS-IR sea surface height monitoring method on the elevation angle is made up, the mode that only low elevation angle data can be used in an original method is expanded to the mode that high and low elevation angle data can be used for inversion, and the sampling rate of sea surface height inversion is greatly increased in the mode that observation data are segmented according to the elevation angle; the method has the characteristics of high observation time resolution, low cost and the like.

The invention relates to the technical field of tunnel fire monitoring and early warning internet, in particular to a tunnel fire early warning method and system suitable for high altitude and low oxygen. The method comprises the following steps: firstly, performing environmental data compensation on various sensors in a tunnel, and then obtaining multi-dimensional monitoring data; then, triggering a subsequent fire accurate detection process under the dual conditions that the concentration change of the double gases in the same time period exceeds a threshold value or the characteristics of the double flames in the same space exceed the threshold value; then, in a fire accurate detection process, an abnormal area is positioned, multiple sequences are generated based on an analysis window, an objective abnormal weight is calculated in combination with information entropy, and a static index fire comprehensive confidence coefficient and a dynamic index deterioration speed and a deterioration speed shutter are obtained; and finally, performing graded early warning based on the fire comprehensive confidence coefficient, the fire deterioration speed and the fire deterioration speed trend, accurately matching the coping requirements of different development stages of the high-altitude low-oxygen tunnel fire, and ensuring the accuracy and timeliness of early warning.

The invention relates to the technical field of tunnel surrounding rock supporting, in particular to a high-altitude permafrost region shallow tunnel soft rock supporting system and a construction method thereof. The supporting system comprises a temperature-adaptive stable protection composite arch frame structure, and the temperature-adaptive stable protection composite arch frame structure comprises a rigid outer protection temperature adjusting layer, an elastomer component and an arch frame. The rigid outer protection temperature adjusting layer comprises a steel protection layer, a heat preservation layer and a temperature adjusting layer which are sequentially arranged from outside to inside in the radial direction. The elastomer component comprises an elastic piece and a buffer layer, the two ends of the elastic piece abut against the inner side of the rigid outer protection temperature adjusting layer and the outer side of the arch frame respectively, and the space between the rigid outer protection temperature adjusting layer and the arch frame is filled with the buffer layer. Through temperature regulation and control and self-adaptive deformation capacity of the temperature-adaptive stable protection composite arch frame structure, dynamic adaptation of a supporting system to freeze-thaw deformation, temperature fluctuation and complex geological conditions is achieved, and tunnel construction safety and long-term stability are improved.

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 multi-dimensional construction safety risk management and control method for a high-altitude highway, particularly relates to the field of construction risk management and control, and is used for solving the problems of slope monitoring lag and passive safety management and control caused by complex terrain in the existing high-altitude highway construction process. The method comprises the following steps: acquiring aerial survey images and laser point cloud data of a construction slope area according to a fixed period, generating a time sequence three-dimensional live-action model sequence, identifying and tracking natural feature points and artificial structure feature points in the model sequence, calculating a feature point displacement field based on precision registration among multiple periods of models, and obtaining a feature point displacement field. The method comprises the following steps: identifying risk deformation data in space-time association with a construction activity in combination with historical construction activity records, performing spatial clustering analysis on the risk deformation data to mark a potential instability region, and generating a prospective construction risk grading control signal according to the space range of the potential instability region and construction information data; and dynamic pre-judgment and graded response of high-altitude highway construction risks are realized.

The invention provides a self-adaptive non-invasive physiological regulation and equipment cooperation method for high-altitude operating personnel, which comprises the following steps of: gathering physiological parameters, environment monitoring data and task information of the operating personnel in real time through edge computing nodes deployed in an operating site, and dynamically evaluating altitude stress risk levels and inducements of the operating personnel based on preset rules; according to the risk assessment result and the current working mode, an accurate parameter regulation and control instruction for personnel protection equipment is intelligently matched and executed, collaborative operation suggestions for forestry operation equipment such as chain saws and patrol unmanned aerial vehicles are generated, and the operation parameters or operation behaviors of the forestry operation equipment are guided to adapt to the physiological states of personnel. According to the invention, closed-loop linkage and self-adaptive cooperation among the personnel physiological state, the environmental load and the operation task are realized, continuous and personalized non-invasive physiological support and safe operation guarantee can be provided for the operation personnel under complex field conditions, and the intelligent level and operation safety of high-altitude forestry management are remarkably improved.

The invention provides a micro site selection optimization method suitable for a high-altitude complex mountain wind power plant, and relates to the technical field of data processing, and the method comprises the steps: collecting the basic data of the high-altitude complex mountain wind power plant; processing the topographic data, constructing a digital topographic model, generating topographic feature distribution, calculating wind energy resources, and determining an applicable fan type; identifying a plurality of restrictive area types based on the topographic feature distribution map, generating a site selection forbidden area, preliminarily arranging a plurality of primary selection machine positions by avoiding the forbidden area, and obtaining coordinates, altitude and surrounding topographic roughness parameters of each primary selection machine position; carrying out wake flow influence analysis, determining wake flow speed loss between adjacent primary selection machine positions, carrying out wake flow optimization, and generating a machine position layout scheme after wake flow optimization; and based on the machine position layout scheme after wake flow optimization, current collection line path planning is carried out, and a final fan layout diagram is generated. The power generation efficiency and economic benefits of the wind power plant are improved.

The invention relates to the technical field of photovoltaic power generation, and discloses a self-adaptive terrain adjustable supporting platform which comprises a transverse plate, a bottom plate arranged at the bottom of the transverse plate, a horizontal adjusting mechanism arranged at the top of the bottom plate, a height adjusting mechanism arranged between the bottom plate and the transverse plate, a supporting plate arranged at the top of the transverse plate, and a rotary adjusting mechanism arranged between the supporting plate and the transverse plate. According to the horizontal adjusting mechanism, horizontal calibration can be completed through simple operation on complex terrains such as mountain inclined slopes and potholes, and the stability after adjustment is maintained. The height adjusting mechanism ensures stability and reliability at various heights, and the installation requirements of different scenes such as low roofs and high-altitude open areas are met.

The utility model relates to a rockfall blocking structure for protecting a high slope in a high-altitude severe cold mountainous area, which comprises an elastic blocking belt, and the elastic blocking belt comprises a cement pouring layer and a plurality of elastic blocking rods poured at the upper part of the cement pouring layer; and cement columns are poured on the side, away from the falling stone, of the cement pouring layer at equal intervals, fixing blocks are poured at the upper ends of the cement columns, first sliding rods are fixedly connected to the outer sides of the fixing blocks, and first sliding rings are movably connected to the outer sides of the first sliding rods in a sleeving mode. According to the structure provided by the embodiment of the invention, when small or large falling rocks fall down, the small or large falling rocks are buffered and blocked by the elastic blocking rods, the large falling rocks impact the blocking net and are blocked by the blocking net after being buffered by the elastic blocking rods, and when the large or large falling rocks are blocked by the blocking net, the small or large falling rocks are blocked by the blocking net. The impact force can be buffered by the first buffer spring and the second buffer spring, so that the blocking net cannot be damaged by the impact force of falling rocks, and the service life of the blocking net is greatly prolonged.

The utility model relates to the technical field of rainfall detection, in particular to an extreme rainfall detection device for a high-altitude area. Comprising a bottom plate, a supporting plate is arranged above the bottom plate, the bottom plate and the supporting plate are fixedly connected through a plurality of supporting connecting rods, a rainwater collecting barrel is arranged on the bottom plate, and the top end of the rainwater collecting barrel is integrally connected with a collecting barrel water inlet pipe penetrating through the supporting plate; a filter connected with a water inlet pipe of the collecting cylinder is arranged below the fixing frame, the top end of the filter is connected with a three-way pipe penetrating through the top wall of the fixing frame through a connecting piece, and the two top ends of the three-way pipe are connected with a rain collecting plate located above the supporting plate. The utility model aims to solve the problems of poor adaptability, low data collection efficiency and the like when the conventional extreme rainfall detection device is used in high-altitude areas.

The invention discloses a rapid back calculation method for ellipsoid expansion parameters of a relatively independent coordinate system, which is used for establishing a relatively independent coordinate system of a city in a high-altitude area and establishing a relatively independent coordinate system of large engineering construction projects (airports, large reservoirs, expressways, high-speed rails and the like). In order to meet the requirement that the projection deformation of a plane coordinate system is less than 2.5 cm / km (the requirement of high-speed rail or rail transit is less than 1.0 cm / km), an ellipsoid expansion method is generally adopted to realize the establishment of a relative independent coordinate system from a national geodetic coordinate system. The ellipsoid expansion method can meet the requirement of projection deformation, the principle is simple, calculation is convenient, and strict conversion between a national geodetic coordinate system and a relatively independent coordinate system can be rapidly achieved; the invention discloses a rapid back calculation method for ellipsoid expansion parameters of a relatively independent coordinate system, and aims to rapidly calculate the accurate ellipsoid expansion parameters of the relatively independent coordinate system through national geodetic coordinates before ellipsoid expansion and homonymous coordinate results of the relatively independent coordinate system after ellipsoid expansion.

The embodiment of the invention provides an adaptive regulation and control device and method for an off-grid wind and light storage system in a high-altitude and alpine region. According to the adaptive regulation and control device provided by the embodiment of the invention, a closed loop of'environment and equipment multi-source perception-multi-target prediction-multi-scene adaptive regulation and control decision-iterative optimization 'is constructed, and the adaptive regulation and control device is particularly suitable for full-link regulation and control of an off-grid wind and light storage system in a high-altitude alpine region; suitable operation parameters of the off-grid wind and light storage system in a high-altitude and high-cold scene can be automatically screened, and the problem of low effectiveness of traditional manual feature screening is solved; accurate prediction of wind and light output, energy storage attenuation and equipment loss can be synchronously realized, and the technical bottleneck that multi-variable association cannot be captured by single-target prediction is broken through; optimization control parameters such as a photovoltaic tracking angle, a fan variable pitch compensation parameter and an energy storage charging and discharging threshold value are dynamically output for typical scenes of low temperature, high altitude, low air pressure and strong ultraviolet rays, and the defect that the environment adaptability of a fixed strategy is poor is overcome.

The invention relates to the technical field of ecological restoration, and discloses an investigation and matching restoration method used before restoration of a degraded forest, comprising an investigation method and a restoration method, analyzing the factor change of the degraded forest by using the investigation method, and matching a restoration model in the restoration method according to the factor change. According to the investigation method designed by the invention, factors with growth and development retardation and degeneration in the growth process of the protection forest in the later period are analyzed so as to analyze the change of the factors in the environment, the restoration model in the restoration method is matched by analyzing the change of the factors, and the degenerated forest is stably and efficiently transformed according to the restoration model; and the quality and the ecological service efficiency of the mountain forest in the karst landform and at the high altitude are improved.

The present invention discloses a test method for equivalently simulating high altitude of an air-insulated isolating switch under dry conditions, comprising the following steps: 1) changing the temperature, air pressure, voltage and load capacitance in an artificial climate chamber respectively, and conducting a breaking test of the air-insulated isolating switch for breaking a capacitive low-current circuit; 2) measuring the distance between the isolating switch contacts at the moment of arc extinguishing under various atmospheric conditions; 3) constructing a fitting formula for the change of the distance between the isolating switch contacts at the moment of arc extinguishing as a function of temperature, air pressure, voltage and load capacitance; 4) calculating a correction factor formula for voltage with respect to temperature, air pressure and load capacitance; 5) determining an equation for voltage U and an equation for load capacitance C based on the correction factor formula; and 6) obtaining the voltage and load capacitance when equivalently simulating high altitude conditions under conventional altitude. This method can equivalently simulate high altitude and has the characteristics of being time-consuming and low-cost.

The invention discloses a high-altitude area arch dam deformation safety early warning index zoning drawing-up method, which comprises the steps of collecting high-altitude area arch dam deformation safety multi-source monitoring data, and determining a measured value sequence composite similarity measurement index of the high-altitude area arch dam deformation safety multi-source monitoring data; performing arch dam deformation behavior clustering analysis under the driving of multi-monitoring-point monitoring data, completing arch dam deformation homogeneous feature recognition, and realizing objective partitioning of the arch dam deformation behavior in the high-altitude area; determining marginal probability distribution of measuring points in each partition, establishing a joint probability distribution function of a strong correlation measuring point group in the partition, and estimating a multi-measuring-point joint probability density function parameter; and carrying out graded early warning index drawing-up on the deformation safety of the arch dam in the high-altitude area in the multi-dimensional probability space. According to the method, the situation that a traditional single-measuring-point deformation early-warning mode and method do not fully consider the behavior relevance between the measuring points is broken through, the high-altitude area arch dam deformation safety partition multi-point combined early-warning index is drafted under the driving of multi-measuring-point monitoring data, and the deformation behavior of the high-altitude area arch dam can be judged more comprehensively; and higher robustness and higher accuracy are shown.

The invention discloses a water treatment method and system in a high-altitude environment. The method comprises the following steps: acquiring ph value data and carbon dioxide flow data in real time; when the ph value data does not meet the preset ph value requirement, iterative initialization of the adjustment amount of the carbon dioxide flow data is carried out according to the ph value data and a database; performing iterative calculation on the adjustment amount after iterative initialization, and taking half of the adjustment amount iterated last time as the adjustment amount iterated this time during each iterative calculation; and adjusting the carbon dioxide flow data through the adjustment amount iterated each time until the ph value data meets the preset ph value requirement. According to the method, the construction wastewater can be neutralized without analyzing a complex neutralization reaction equilibrium process and strictly monitoring air pressure change and temperature change of a high-altitude area, the neutralization treatment result is controllable, the pH value of reclaimed water can be controlled within an ideal range, and the method has very good adaptability.

The invention provides a complex terrain slope unit section line extraction method and device, and the method comprises the steps: obtaining the mass center of a two-dimensional projection polygon of a slope unit, and judging whether the slope unit is a complex slope unit or not based on the mass center; when the two-dimensional projection polygon is a complex slope unit, determining elevation data of each vertex of the two-dimensional projection polygon based on a digital elevation model, determining a first vertex and a second vertex with an elevation difference, and constructing a first line segment taking the first vertex and the second vertex as end points and at least one vertical line of the first line segment, obtaining a first intersecting line segment of the vertical line and the two-dimensional projection polygon, and taking a midpoint of the first intersecting line segment as a first section line break point of the complex slope unit; and determining a highest elevation vertex and a lowest elevation vertex, and generating a broken line section line based on the highest elevation vertex, the lowest elevation vertex and the section line break point. According to the method, the extraction efficiency and accuracy of the section line of the complex slope unit are improved, and the actual elevation and gradient change characteristics of the complex slope unit can be accurately expressed.

The application relates to the field of power distribution cabinets, in particular to a power distribution cabinet suitable for high-altitude areas, which comprises a cabinet body and a mounting assembly; a support plate a is arranged on the inner wall of the rear side of the cabinet body; a plurality of groups of support plates b are arranged on the support plate a in parallel and equidistantly; two groups of fixing blocks are slidingly arranged at the two ends of the front side of the support plate a; a horizontal rod is transversely arranged between the two groups of fixing blocks; a plurality of sleeves are slidingly sleeved on the horizontal rod; a connecting rod a is rotationally connected with the top of the sleeve and rotationally connected with the bottom of the support plate b; a connecting rod b is rotationally connected with the top of the sleeve and rotationally connected with the bottom of the next group of support plates b; the mounting assembly is arranged in parallel on the inner wall of the rear side of the cabinet body in two groups. The power distribution cabinet can quickly complete the gap adjustment between the support plates b according to the calculated minimum electrical gap, time and labor are saved, the power distribution cabinet is convenient to use, and the consistency of the gap is high.

The invention discloses a fuzzy theory and HHT-based distribution network fault diagnosis method, system and device, and a storage medium, and relates to the technical field of power system fault diagnosis, and the method comprises the steps: obtaining the motion information of a protection switch, and calculating the switching value fault degree of an element; acquiring fault voltage and current information, and calculating a current fault energy value; based on the element switching value fault degree and the current fault energy value, data fusion is carried out by establishing a multi-source information fusion model; based on the fused data, using a fuzzy C-means clustering method to establish a decision model and performing power grid fault diagnosis; the method solves the problem of fault diagnosis of the power distribution network in the high-altitude complex mountainous area, integrates multi-source information, realizes omnibearing and multi-dimensional diagnosis, and can adapt to severe natural conditions and environments with insufficient communication. And by adopting a distributed architecture and a modular design, the real-time performance, the robustness and the expansibility are enhanced, and the safety and the stability of the power distribution network are ensured.

The utility model provides an intelligent deicing system for a high-altitude construction road, which comprises a deicing control cabinet, a wheel track belt type ice melting loop integrated group and a drainage belt type ice melting loop group, and is characterized in that the deicing control cabinet is connected with the wheel track belt type ice melting loop integrated group and the drainage belt type ice melting loop group through cables; the wheel track belt type ice melting loop integration set is composed of a plurality of wheel track belt type ice melting loops, the water draining belt type ice melting loop set is composed of two water draining belt ice melting loops, the ice removing control cabinet comprises a cabinet body, and front doors are rotationally connected to the two sides of the front end of the cabinet body. According to the intelligent deicing system, the deicing control cabinet is arranged, and the deicing cable heating modules are arranged in the form of multiple groups, so that the whole system can intelligently and automatically realize pavement heating and deicing operation according to the ground icing temperature and the environment temperature, and the pavement deicing effect of a construction road is effectively guaranteed.

This utility model discloses a visibility obstruction meter suitable for installation at ground meteorological observation fields, relating to the technical field of visibility obstruction meters. During installation, workers may use ladders to install the meter at higher elevations. Since the ground at observation fields is mostly natural soil, ladders may tip over when used on soil surfaces. The device includes: a vertical pole with four threaded rods; and two fixed supports. This utility model discloses a visibility obstruction meter suitable for installation at ground meteorological observation fields that improves installation convenience and safety. During installation, the vertical pole and connecting rod are set at a 90-degree angle, facilitating the installation of the meter at higher elevations while eliminating the need for ladders and preventing tipping, thus increasing the device's effectiveness.

The present application relates to a kind of powder starting test device, solve the existing powder starting test bench cannot simulate high altitude low pressure environment, and powder starting test needs to be completed in dependence on whole machine test and on high altitude test stand, lead to test cost is high, research cycle is long and cannot early obtain component performance and flame propagation law Problem.It includes closed box, air pump, air pump, temperature measuring device, flame generator, barometer and multiple groups of cameras;Pressure in closed box is adjusted by air pump and air pump cooperation, simulate different altitude environment;Temperature measuring device can move along horizontal direction, temperature distribution in flame field is inducted by grid-like temperature indicating paint, cooperate multiple groups of cameras to capture flame range and propagation distance, realize the accurate test of the combustion performance of powder starting device under different altitude environment.The present application is compact in structure, convenient to operate, low in test cost, short in cycle, can early obtain key performance data, provide reliable support for the optimization design of powder starting device.

The invention relates to the technical field of high-altitude mining, in particular to a high-cold high-altitude high-steep slope stability monitoring method, which comprises the following steps: step 1, geological exploration: surveying and analyzing a geological structure, a rock-soil body type, rock properties, terrain drawing and historical disaster records of a slope area; step 2, topographic survey: monitoring the elevation, gradient, dip angle and crack of the side slope; and 3, geological environment monitoring: monitoring the temperature, humidity, underground water level and rainfall in the slope environment. And 4, remote sensing monitoring: acquiring a remote sensing image of the side slope area by using an RS technology, and monitoring the range change in the side slope area. And 5, intelligent early warning: setting a monitoring threshold value according to the slope stability, and sending out an early warning signal when the monitored data reach the threshold value. According to the invention, comprehensive evaluation is carried out on the slope stability through multiple dimensions, key monitoring is carried out on historical disaster areas, and the monitoring comprehensiveness and the data accuracy are ensured.