86 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 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 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 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 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 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 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.

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 tunnel engineering construction, in particular to a high-altitude shallow-buried silty-fine sand layer tunnel portal section collaborative supporting structure and a construction method. The construction method comprises the following steps that S1, based on engineering geological survey data, an advanced pipe shed and a horizontal high-pressure jet grouting pile are integrally designed; and calculating and determining the design distance, the lap joint length and the rigidity matching parameter of the advanced pipe shed and the horizontal high-pressure jet grouting pile, and constructing a composite structure model taking the advanced pipe shed as a rigid framework and cooperatively bearing with the horizontal high-pressure jet grouting pile. According to the method, a collaborative supporting system with rigid-flexible coupling of the advanced pipe sheds and the horizontal jet grouting piles is constructed, jet grouting construction parameters are dynamically regulated and controlled on the basis of an environment parameter mapping library, and the problems that the self-stability of a high-altitude silty-fine sand layer is poor, and the influence of the air pressure temperature difference on the pile forming quality is large are effectively solved; and the water stopping effect and the overall bearing stability of the hole section supporting structure under the complex geology are ensured.

The invention belongs to the technical field of tunnel construction, and particularly relates to an intelligent ventilation system suitable for high-altitude tunnel construction, which comprises a flowing cavity and a main fan, the main fan supplies air to the flowing cavity and blows the air to a tunnel face, the intelligent ventilation system further comprises an auxiliary guide pipe, an auxiliary fan and a smoke sensing alarm, the auxiliary guide pipe is arranged in parallel along the flowing cavity, and the smoke sensing alarm is arranged in the flowing cavity. A plurality of smoke exhaust holes are formed in the auxiliary guide pipe, and the auxiliary fan can blow air bidirectionally; during normal work, the main fan and the auxiliary fan supply air to the flowing cavity and the auxiliary guide pipe respectively; when the smoke alarm detects a fire, the main fan stops working, and the auxiliary fan changes the wind direction, so that the auxiliary guide pipe generates negative pressure; the invention aims to provide more comprehensive oxygen supply for the tunnel in a high-altitude area, prevent harmful smoke from diffusing in case of fire, and improve the safety of tunnel operation.

The invention provides a high-altitude large-span power transmission line non-uniform icing ice jump simulation method, which comprises the following steps: S1, obtaining structural parameters of a target large-span power transmission line in a high-altitude area, taking a vertex of a tower with a smaller height between two towers in a span as a reference point, and establishing a coordinate system by using the reference point; s2, acquiring meteorological parameters, including wind speed, temperature and humidity, at the reference point; s3, ANSYS finite element software is adopted to establish a simulation model of the target large-span power transmission line according to the structural parameters of the target large-span power transmission line, and the power transmission line in the span is divided into a plurality of finite elements; s4, determining the meteorological parameters of each finite element according to the meteorological parameters of the reference point, then determining the icing amount of each finite element, and loading the icing amount of the finite element to the finite element in the simulation model; and S5, simulating deicing in the simulation model, and obtaining ice jump parameters during deicing.

The application discloses a large-span suspension bridge elevation measurement method, and relates to the technical field of bridge construction. The large-span suspension bridge elevation measurement method comprises the following steps: obtaining an elevation control network point, a gravity anomaly correction number and a normal leveling surface non-parallel correction number; establishing an absolute elevation reference network at a road surface connection position between a bridge and an adjacent structure on both sides of a suspension bridge according to the elevation control network point, the gravity anomaly correction number and the normal leveling surface non-parallel correction number; and measuring relative geometric elevations and adjusted absolute elevations of each component of the suspension bridge by using a measuring instrument according to the absolute elevation reference network. The relative geometric elevations and the adjusted absolute elevations of each component of the suspension bridge are measured by establishing the absolute elevation reference network and using the measuring instrument, the influence of gravity anomalies in high-altitude and deep valley areas is overcome, the unification of elevation references on both sides of the large-span suspension bridge is ensured, and the elevations of anchorages, a main beam, a top column of an upper tower, a main cable saddle, main cables and the like of the suspension bridge are kept consistent with the design theoretical elevations.

The application provides a high-cold high-altitude tunnel lining-heating-thermal insulation integrated self-adaptive green intelligent anti-freezing regulation method, comprising: constructing a material parameter database; constructing a tunnel model and a tunnel heat balance model, conducting a scale experiment on the tunnel model to obtain an experimental result, conducting multi-parameter coupling numerical simulation on the tunnel heat balance model to obtain a simulation result, comparing the experimental result with the simulation result, verifying and expanding the environmental parameters of the tunnel heat balance model; matching the tunnel model with the environmental parameters to obtain an optimized interval of material parameters and thicknesses of each layer of the tunnel; constructing a heat load prediction model to obtain required heat exchange loads under different environmental parameters; obtaining on-site measurement data, constructing a data-physical dual driving model, and calculating heating power and flow parameters, so that the application mines the nonlinear relationship between environmental parameters and heat loads, improves the prediction effect and adaptability, significantly reduces the anti-freezing energy consumption of the tunnel, and improves the efficiency of the frost damage treatment.

The invention relates to the technical field of data processing, in particular to a high-altitude tunnel fire risk intelligent assessment method, which comprises the following steps: acquiring a monitoring data sequence of each fire monitoring index at each monitoring point of reference tunnels at different altitudes; acquiring a multi-dimensional risk assessment characteristic value of each reference tunnel according to the data change trend in each monitoring data sequence and the monitoring data difference of each fire monitoring index at different monitoring points at the same monitoring moment; according to the altitude and the fire accident score of each reference tunnel and the multi-dimensional risk assessment feature value of each reference tunnel, obtaining the importance degree of each dimensional risk assessment feature value of the target tunnel; and according to the corresponding multi-dimensional risk assessment feature value of the target tunnel in the current time period, the importance degree of each dimensional risk assessment feature value and the fire accident score of each reference tunnel, the fire risk of the current tunnel is assessed, and the accuracy of the fire risk assessment result of the high-altitude tunnel is improved.

The application provides a landslide rock mass crack repair device and method based on calcium carbonate precipitation, and belongs to the technical field of geotechnical engineering geological disaster prevention and control. The device integrates precise grouting, precipitation regulation, mechanical monitoring, dry-wet cycle simulation module and intelligent control terminal, adopts a degradable multi-stage telescopic grouting pipe, combines electric field, pH and temperature for precise regulation to realize directional precipitation of calcium carbonate crystals, and is matched with multiple types of sensors to complete real-time monitoring of all parameters in the repair process. The method configures MICP / EICP precursor liquid according to the rock mass lithology, and completes the repair through the steps of crack survey, environment calibration, precursor liquid mixing, precise grouting regulation, simulation maintenance and effect evaluation, and is suitable for different scenes such as reservoir area, mountain area, mining area and high altitude. The application realizes intelligent and quantitative evaluation of the repair process, can improve the compressive strength and shear strength of the rock mass, is convenient to construct and has little disturbance to the original rock mass, the long-term mechanical stability of the repaired rock mass is excellent, and is suitable for various landslide rock mass crack repair projects.

The invention discloses an experimental platform and a test method for simulating plateau train combustion in a plain, and relates to the technical field of tunnel fire safety, the experimental platform comprises a railway tunnel model, the railway tunnel model comprises a tunnel model body and two sealing doors, and the two sealing doors are respectively located at two opposite ends of the tunnel model body to form a sealed space; the plateau environment simulation system comprises a vacuum pump, a flow uniformizing plate, an air inlet system and a pressure gauge, and the combustion and control system is arranged to trigger the train to combust in a low-pressure environment and adjust the combustion intensity. According to the invention, by integrating plateau low-pressure environment simulation, controllable combustion triggering and multi-parameter synchronous measurement systems, a train combustion characteristic full-scale test platform and a standardized test process are constructed; the purposes of solving the problem that train combustion basic data is deficient in a high-altitude low-pressure environment and supporting plateau railway tunnel fire prevention and control system design and emergency plan making are achieved.

The invention belongs to the technical field of tunnel operation ventilation in high-altitude areas, and particularly discloses a high-altitude extra-long tunnel double-hole complementary ventilation method combined with a thermal potential difference effect. Based on actually-measured temperature and air pressure data of holes and inclined shaft openings, significant thermal potential difference formed between the temperature in a tunnel in winter and the low temperature of a high-altitude inclined shaft opening is emphatically utilized; and natural airflow is driven. For the situation that the heat potential difference effects of the two holes are opposite, a ventilation transverse channel is arranged between the two holes, the air volume of the natural wind surplus hole is allocated to the wind lacking hole, and air volume complementation is achieved. The ventilation air volume is determined according to the difference between the natural air volume of the two holes and the designed required air volume, and the pollutant concentration does not exceed the standard. The natural air volume and the ventilation air volume obtained through calculation serve as mass flow outlet boundary conditions of the inclined shaft in subsequent CFD numerical simulation, and initial numerical values are provided for three-dimensional simulation. The method can provide theoretical support for operation ventilation of the high-altitude extra-long tunnel in China.

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

This invention discloses an algorithm for high elevation angle over-the-top pointing deviation of an azimuth-elevation two-axis antenna, specifically including the following steps: Step 1, obtaining the theoretical position information P1 of the spacecraft relative to the ground station; Step 2, determining the actual pointing position information P2 of the antenna; Step 3, the ground station calculates the deviation δ between the theoretical angle of the spacecraft at the same moment within the tracking arc and the actual pointing angle of the antenna obtained in Step 2, based on the theoretical position information of the spacecraft obtained in Step 1 and the actual pointing position information of the antenna determined in Step 2; Step 4, comparing the angle deviation δ obtained in Step 3 with the antenna beamwidth ψ to determine whether the antenna high elevation angle over-the-top angle deviation meets the spacecraft tracking requirements. Using this invention, when tracking a spacecraft with an azimuth-elevation two-axis antenna, it is possible to accurately determine whether the antenna high elevation angle over-the-top angle deviation meets the spacecraft tracking requirements.

The invention relates to the technical field of hydropower engineering construction, in particular to an anti-seepage construction method for a diversion tunnel of a high-altitude hydropower station. According to the method, a temperature compensation mechanism under a high-altitude environment, a material curing regulation and control technology under low air pressure and an environment parameter dynamic monitoring system are introduced, meanwhile, a multi-component composite anti-seepage material system is adopted, and technologies such as surface pretreatment, deep grouting and interface reinforcing agent coating are combined; a real-time data acquisition and intelligent construction control platform is constructed by combining various monitoring devices such as a displacement sensor, a pore water pressure gauge and an ultrasonic compactness detector, so that the seepage-proofing construction process can stably adapt to complex conditions such as high altitude, low air temperature and low air pressure, the overall construction quality and reliability are greatly improved, and the construction cost is reduced. And the long-term anti-seepage effect of high strength, high toughness, freeze thawing resistance and water pressure impact resistance is achieved.

The invention relates to the technical field of electric power, and discloses a synchronous positioning and map construction method suitable for high-altitude electric power inspection, which comprises the following steps: constructing the position attitude and environmental map characteristics of an inspection robot into a joint state vector, and performing recursive estimation based on extended Kalman filtering; obtaining the observed quantity of each sensor and carrying out weighted fusion on the observed quantity to obtain a fusion observation result; introducing an adaptive noise estimation model, wherein the estimation model adjusts a covariance matrix of state noise and observation noise of extended Kalman filtering according to the observation error and the prediction error; evaluating an uncertain area in the map according to the updated environment map features, and performing local optimization on the uncertain area according to the observed covariance matrix and the error between the observed value and the predicted value of the map features. The improved SLAM algorithm provided by the invention can adapt to a complex high-altitude environment by optimizing sensor data fusion, enhancing robustness and improving a map updating strategy.

A grounded and modular fall impact protection airbag system designed to absorb the kinetic energy of objects or persons falling from high elevations in such a manner that concurrently cushions impact while minimizing the transfer of elastic potential energy that can result in a rebound event. In this manner, the potential for damage or injury is minimized in both the impact and rebound kinetic energy transfer events. In contrast to existing grounded fall protection airbag systems that require continuous airflow from pneumatic devices to maintain optimal pressure before and after impact, this system implements air pressure relief valves that are actuated upon impact and release air pressure at a rate that safely decelerates the object or individual without a rebound effect. This allows for the system to be pressurized once per use, thus decreasing energy requirements and operational costs, improving system reliability, and increasing overall safety to the site.

The invention belongs to the field of dam body stability evaluation, and provides a maximum credible earthquake research method for a dam site of a high-altitude and high-earthquake region, which comprises the following steps: S1, acquiring regional geology, earthquake, landform and environmental characteristic data of the dam site of the high-altitude and high-earthquake region and historical earthquake activity and focus parameter data, and preprocessing and standardizing the data; s2, constructing a high-altitude seismic wave propagation and attenuation coupling model; s3, identifying and quantifying a main seismic structure and potential seismic source parameters of the region, and performing probability model construction on potential seismic sources of the region; s4, dividing a seismic source region, defining a feature seismic source event, constructing a single-seismic-source and multi-seismic-source superposition effect simulation scene, determining seismic oscillation records and physical parameters required by simulation, and formulating a region grid and a boundary condition of simulation calculation; and S5, based on the coupling model, carrying out refined simulation calculation on the seismic oscillation parameters of the dam site, and extracting and calculating the seismic oscillation parameters of the dam site.