55 results about "Karst landform" patented technology

The invention relates to the field of remote sensing image processing, in particular to a karst landform remote sensing dynamic evolution analysis method and a karst landform remote sensing dynamic evolution analysis system, which can be applied to the fields of karst region resource management, environmental protection, geological disaster early warning and the like. According to the method, karst landform change information is obtained through multi-temporal remote sensing image data, a time-space analysis model composed of self-attention enhancement, a feature pyramid and a recurrent neural network is constructed, a constraint module is designed in combination with karst landform priori knowledge, and accurate prediction is achieved; multi-source data fusion improves the feature capture capability, and the observation advantage is obvious especially under complex meteorological conditions; the multi-module cascade design is used for accurately modeling space-time dynamic change, and the prediction accuracy is improved; priori knowledge constraint is introduced to enhance feature recognition, and misclassification is reduced; on the whole, the method effectively integrates multidisciplinary technologies, the precision and reliability of karst landform dynamic evolution analysis are improved, and a powerful tool is provided for research in related fields.

The invention belongs to the field of pollution traceability, and particularly relates to a karst landform soil and groundwater collaborative heavy metal pollution traceability method, which comprises the steps of end member site selection, groundwater monitoring point arrangement, collection and measurement of feature identification of each end member and multi-end member hybrid modeling. According to the scheme, the number of karst funnels is counted through neural network segmentation, high, medium and low density areas are divided, intelligent partition extraction of end members is achieved through a random forest model, monitoring points are arranged in the flow direction in a layered mode in combination with funnel distribution and an aquifer structure, and the problems that the pollution diffusion rule is difficult to capture and pollution source positioning is fuzzy under heterogeneity are solved; a three-dimensional monitoring network of soil, water quality and geology is constructed, a Bayesian mixture model is combined with an isotope fractionation effect to quantify an end member contribution proportion, the defect that traditional monitoring and modeling are not adaptive to karst heterogeneity is compensated, and pollution spatial and temporal distribution and migration paths are captured; unification of accurate simulation of the pollution diffusion rule and quantification of the end member contribution proportion is realized.

The invention discloses a construction method of a flat pilot tunnel in a karst landform super-large section tunnel chamber. The construction method comprises the following steps: 1) geological investigation before construction; 2) advanced geological forecast; (3) a flat pilot tunnel is excavated; (4) primary supporting is conducted; (5) treating a karst cave and a karst cavity; (6) water prevention and drainage measures are taken; (7) monitoring and measuring; and 8) ecological restoration. The method has the following technical advantages that 1, disasters such as collapse, water bursting and mud bursting in the construction process are effectively avoided through detailed geological survey, advanced geological forecast and a reasonable construction scheme, and the safety of constructors and equipment is guaranteed; 2, a proper excavation method and supporting measures are adopted, the construction process is optimized, the construction period is shortened, and the construction efficiency is improved; loss caused by geological disasters and improper construction is reduced, and engineering investment is saved; ecological restoration is emphasized, damage of construction to the surrounding environment is reduced, and coordinated development of engineering construction and environmental protection is achieved.

The invention discloses a preparation method of a pesticide pollution remediation agent for groundwater of karst landforms, and relates to the technical field of groundwater pollution remediation. The method has the effect of enhancing pesticide degradation, pesticide pollutants can be efficiently degraded in a complex environment of karst underground water by compounding hard water-resistant fungi, dehalogenation bacteria and denitrifying bacteria, and a better remediation effect is achieved; the medicament can improve the stability and the adsorption capacity of the carrier, the bionic calcium phosphate nano carrier is adopted, the specific surface area is high, the adsorption capacity is excellent, the adsorption capacity on pollutants can be effectively enhanced, and the remediation effect is improved; the agent has an efficient repairing mechanism, the load capacity of the flora is enhanced through biological induction mineralization and physical adsorption enhancement of a bacterium-carrier complex, the release rate of the flora is controlled through an intelligent coating technology, and precise repairing is achieved.

The present invention discloses a method for predicting the partition of epigene karst reservoirs based on geomorphic restoration. The prediction method includes: determining the main frequency of seismic waves of the target formation; then determining the top and bottom interfaces of the target formation and the development positions of epigene karst reservoirs therein; selecting a geomorphic restoration method to restore the karst landform and divide the geomorphic units; establishing a forward reservoir development model based on the parameters of the target formation, marker formation and epigene karst reservoir in the geomorphic unit and performing excitation simulation through the main frequency of seismic waves to obtain the theoretical seismic response characteristics of the reservoir, extracting the characterization features that can characterize the development of the reservoir, and establishing the fitting formula of reservoir characterization features - reservoir thickness for each geomorphic unit. The present invention can comprehensively integrate geological, logging and seismic information, accurately qualitatively and quantitatively predict epigene karst reservoirs, and can be applied to the early stage of exploration and development of epigene karst reservoirs, with high working efficiency and low application cost.

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 invention discloses a karst forest canopy density estimation method suitable for planting under a traditional Chinese medicinal material forest. The method comprises the following steps: acquiring three-dimensional laser point cloud data and surface spectrum data of a target area, and a canopy density true value of a ground verification quadrat in the target area; extracting ground points and non-ground points, extracting vegetation points, and calculating initial canopy density of each grid unit and ground verification quadrat; constructing a correction model and training, wherein a canopy density measurement error is a difference value between a canopy density truth value and the initial canopy density; and obtaining the corrected canopy density corresponding to each grid unit based on the correction model. According to the method, the three-dimensional laser point cloud data of the LiDAR and the multispectral surface spectral data are fused, and the correction model for karst landform features is introduced for the first time, so that the interference of the gradient and the rock exposure rate on canopy density estimation is fundamentally solved, and the precision and the reliability of an estimation result are far better than those of an existing method.

The invention belongs to the field of data processing and water resources, and particularly relates to a running water ecological landscape water demand calculation method based on a mountainous area. The method comprises the following steps: identifying characteristics such as karst landforms and ancient terraces through remote sensing data; constructing a nonlinear regulation and storage model of the underground water storage reservoir to simulate a base flow hysteresis release effect; calculating a landscape fragmentation degree and a connectivity index, and establishing a mapping relation between a space structure and a hydrological process; constructing an ecological water demand quota correction matrix based on nonlinear regression; and outputting a final water demand calculation result in combination with the base flow supply sequence and the dynamic landscape parameters. According to the method, by introducing the nonlinear regulation and storage theory and the landscape pattern index, deep coupling and dynamic correction of the ecological water demand and the space structure are achieved, and the precision and scientificity of water demand calculation in the complex environment are improved.

The application discloses a karst landform cave detection method and an underwater robot, and the method comprises the following steps: 1) entering water and initial deployment; 2) non-powered drift navigation; 3) cave observation and data collection; 4) resistance judgment and self-rescue control; 5) continuous drift and path recording; and 6) a three-dimensional cave construction module. The application has the advantages of compact structure, reliable waterproof, high navigation precision, resistance self-rescue capability and three-dimensional modeling post-processing capability, and is suitable for narrow and complex underwater environment detection.

The application discloses a kind of geological tube wave detection signal processing methods for vertical string-shaped karst cave in karst topography, applicable to geological exploration field, this method is mainly by first carrying out wavelet threshold denoising method processing to vertical string-shaped karst cave in karst topography geological tube wave detection signal to remove noise, mean filtering is carried out to obtain direct tube wave waveform and reflected tube wave waveform, two-dimensional filtering and fourier transform are carried out to reflected tube wave waveform to obtain uplink reflected tube wave waveform and downlink reflected tube wave waveform, finally waveform is analyzed to obtain time-depth curve, barycentric frequency-depth curve and reflection coefficient-depth curve to be used for the quantitative interpretation of tube wave detection result.The tube wave signal processing method proposed in the application has the advantages of strong anti-interference, small error, etc., compared with the traditional tube wave signal processing method, and has better applicability under the geological conditions of vertical string-shaped karst cave in karst topography.

The invention discloses a karst landform area underground two-dimensional geological structure modeling method and system, and belongs to the technical field of geophysical exploration. Aiming at the problem of poor geological modeling precision caused by low signal-to-noise ratio, high physical property heterogeneity and lack of drilling data of seismic data in a karst landform area, the method comprises the following steps: acquiring electrical property, earthquake and geological multi-source information through magnetotelluric sounding, two-dimensional earthquake and shallow surface geological survey; processing is carried out by using the borehole-side sounding to constrain the electrical structure; the fracture is identified by integrating the difference between the electrical gradient band and the seismic wave group; for the deep area, utilizing an electrical marker bed and a seismic wave group to track the stratum, and for the shallow area, recovering the stratum form based on the earth surface occurrence and the drilling thickness; and evaluating whether the stratigraphic sequence and the thickness conform to a regional rule or not by blocks, and iteratively optimizing the model. According to the method, the modeling precision and reliability of the underground two-dimensional geological structure in the karst landform area can be remarkably improved, and the method is low in cost, easy and convenient to operate and suitable for low-exploration-degree areas.

The invention discloses a bank filtration system and method based on an inclined water intake well. The bank filtering system is suitable for underground water taking in a karst landform area, and comprises a filtering layer comprising natural sediments and / or artificial enhancement media of a surface water bank; the first aquifer is formed by carrying out bank filtration on the surface water by the filter layer; optionally at least one second aquifer located spatially below the first aquifer; the inclined water taking well extends towards the filtering layer at the angle that the included angle between the shaft axis and the horizontal direction is larger than 0 degree and smaller than 90 degrees, and the water taking section of the water taking well penetrates through or extends into the recoverable water-rich section of the first water-containing layer from the bank filter and at least one optional second water-containing layer. The inclined water taking well is introduced, the horizontal projection length of the water taking well is increased, the water catchment area and the effective water inlet section are remarkably increased, and more bank filtered water from lateral infiltration of a surface water bank can be collected.

The invention discloses a slope confluence and water collection irrigation device and method containing flexible photovoltaic panel lifting, and belongs to the technical field of irrigation engineering, the device comprises a water collection irrigation mechanism, a power generation mechanism, a retracting and releasing mechanism and a supporting mechanism, the water collection irrigation mechanism is connected with the power generation mechanism and the retracting and releasing mechanism, and the supporting mechanism is installed below the water collection irrigation mechanism. According to the slope confluence and water collection irrigation device and method containing flexible photovoltaic panel lifting, the flexible photovoltaic panel can be automatically folded when not working, damage caused by the sun to the slope confluence and water collection irrigation device is avoided, the high-precision inclination sensor and the flexible pressure sensor are installed on the water collection film, the pressure of collected rainwater is monitored, and the water collection effect is improved. And by adjusting the angle and height of the water collecting film, the water flow is guided to the middle of the film to the maximum extent, the device can be suitable for the karst landform, and maximum water collection is achieved.

The invention discloses a karst landform karst cave detection method and an underwater robot. The method comprises the following steps: 1) water entry and initial deployment; the invention relates to a three-dimensional karst cave navigation system which comprises the following components: 1) a three-dimensional karst cave construction module, 2) unpowered drifting navigation, 3) karst cave internal observation and data acquisition, 4) resistance meeting judgment and self-rescue control, 5) continuous drifting and path recording and 6) a three-dimensional karst cave construction module.The three-dimensional karst cave navigation system is compact in structure, waterproof, reliable and high in navigation precision, has the resistance meeting self-rescue capacity and the post-processing three-dimensional modeling capacity and is suitable for narrow and complex underwater environment detection.

The invention relates to a building cold and hot circulation temperature control system and method utilizing karst landforms. The building cold and hot circulation temperature control system comprises a control assembly, a ventilation assembly and an indoor temperature control assembly. The indoor temperature control assembly is arranged in a building and comprises a first conveying air pipe, a second conveying air pipe and fans, the first conveying air pipe is provided with a first air opening, the second conveying air pipe is provided with a second air opening, and the fans are arranged at the first air opening and the second air opening; the ventilation assembly comprises a first air pipe and a second air pipe, the first air pipe and the second air pipe are pre-buried in a concrete pile foundation of a building, the bottom end of the first air pipe penetrates into a karst cave of the karst area, the top end of the first air pipe is connected with the first distribution pipe, and the bottom end of the second air pipe penetrates into the karst cave of the karst area. The top end of the second air pipe is connected with the second distribution pipe. The karst cave natural cold source is fully utilized, it is ensured that the system is matched with the karst geology and the building structure, and the purposes of efficient cooling in summer, efficient heating in winter and energy consumption and carbon emission reduction are achieved.

The invention relates to the technical field of mountainous region irrigation, in particular to intelligent irrigation equipment for planting mountainous region apples in karst landform, which comprises a water storage tank assembly and a fertilizer box assembly, a stirring assembly for mixing fertilizer and rainwater is arranged close to the bottom in the water storage tank assembly; a discharging assembly used for controlling feeding of fertilizer in the fertilizer box assembly is arranged close to the middle in the water storage box assembly and comprises a floating structure, a plurality of blocking structures used for controlling discharging of the fertilizer box assembly and two sets of pull rope structures used for transmission between the floating structure and the blocking structures. According to the equipment, the floating structure, the water inlet and the upper ring piece are arranged, so that the evaporation loss of accumulated water can be effectively reduced during water storage, the utilization rate of rainwater is increased, and the water-saving effect is improved; by arranging the floating structure, the blocking structure and the pull rope structure, during water storage, the addition of the fertilizer can be gradually increased along with the increase of the water storage amount, the operation is simple and convenient, manual addition is not needed, and the accuracy of the fertilizer addition amount is improved.

The invention discloses a karst landform scenic spot-oriented live-action three-dimensional modeling method and management system, and relates to the technical field of digital travel, and the method comprises the following steps: employing an unmanned plane, a three-dimensional laser scanner and the like to collect scenic spot inclined image data, point cloud data and detail texture data; constructing a hierarchical fusion algorithm to perform fusion processing on the multi-source data, and generating a live-action three-dimensional model; generating text travel thematic data by utilizing a web crawler and a geocoding technology; the cross-terminal visualization of the live-action three-dimensional model is realized by applying adaptive LOD and GPU rendering acceleration; based on video monitoring and tourist flow data, a risk assessment model is constructed to realize people flow density calculation, flow prediction and risk early warning; and integrating the live-action three-dimensional model, the text travel thematic data and the real-time passenger flow data to realize the global three-dimensional display and management of the scenic area. According to the invention, for tourism management departments and tourists, real-scene three-dimensional modeling and intelligent management are provided, and text and tourism fusion development is assisted.

The invention discloses a karst landform cavern group leakage channel plugging device. The karst landform cavern group leakage channel plugging device mainly comprises a crawler base and a drilling grouting table. A fixed seat is fixedly mounted on the crawler base, a movable large arm is rotationally mounted on the fixed seat, a telescopic small arm is mounted in the movable large arm in a sliding manner, and a drilling grouting table is mounted on the telescopic small arm; a drilling machine, a drilling rod of the drilling machine, a pressure pump and a grouting rod of the pressure pump are installed on the drilling grouting table. The device has the drilling and grouting functions at the same time, the leakage channel cavern can be quickly plugged, meanwhile, the manual participation degree is reduced, and compared with manual hole opening and grouting, the construction efficiency is improved. Accordingly, a corresponding drainage and pressure reduction method is also established. According to the method, drilling operation is carried out on the inner wall of the cavern, grouting reinforcement is carried out on the inner wall of the cavern, bentonite slurry is injected into the limestone inner wall of the cavern in a pressurized mode, gaps of the limestone inner wall are filled, monitoring is carried out through a sensor, and the situation that water seepage accidents occur in the tunnel due to water seepage flow erosion is avoided.

The application discloses a new modeling method for vertical string-shaped karst cave geology based on combination of drilling data and tube wave detection, which is suitable for stratum distribution determination of engineering exploration and provides data for treatment and design of foundation and base, and comprises the following steps: dividing engineering subarea, processing drilling data, tube wave detection, processing tube wave detection results and layering; and establishing a geological model. The application can solve the problems of stratum layering difficulty and large error of tube wave detection data of karst landform, has the advantages of high layering accuracy, small error and high efficiency, and can be widely applied in geological survey work of karst landform.

The application discloses a kind of karst landform area underground two-dimensional geological structure modeling method and system, belong to geophysical exploration technical field.For the problem that karst landform area seismic data signal-to-noise ratio is low, physical property is strong inhomogeneous, drilling data is deficient and leads to poor geological modeling precision, the present application obtains electrical property, seismic and geological multi-source information by magnetotelluric sounding, two-dimensional seismic and shallow surface geological survey;With well-by-side sounding constraint electrical property structure processing;Comprehensive electrical property gradient zone and seismic wave group difference identification fracture;Deep region is tracked stratum using electrical property marker layer and seismic wave group, and stratum morphology is restored based on surface occurrence and drilling thickness in shallow region;Whether stratum sequence and thickness meet regional rule is evaluated by block, and model is iteratively optimized.The present application can significantly improve the modeling precision and reliability of underground two-dimensional geological structure in karst landform area, and is low in cost, easy to operate, applicable to low exploration degree region.

This invention relates to the field of karst landform surveying technology, specifically providing a device for surveying the depth of underground cavities or fissures in karst landforms. The aim is to overcome the shortcomings of existing technologies and solve problems such as the pendant component easily getting stuck when falling into the fissure, and the device's adaptability to holes or fissures of different sizes or orientations. The invention comprises several main parts, including a support mechanism with a position adjustment mechanism, a measuring mechanism connected to the support mechanism, and a power mechanism connected to the measuring mechanism. The support mechanism and the position adjustment mechanism enable the device to adapt to holes or fissures of different sizes or orientations. The measuring mechanism uses a pendant component, which is lowered into the hole or fissure via a measuring rope. The power mechanism provides the power to wind and pull the measuring rope.

The invention discloses a southwest karst small watershed nitrogen and phosphorus simulation method based on an improved SWAT model. The southwest karst small watershed nitrogen and phosphorus simulation method mainly comprises the steps of improving hydrological response unit division and improving a hydrological process and nitrogen and phosphorus loads of the hydrological process. According to the improved model, the particularity of karst landforms is considered, the simulation accuracy of the rainfall infiltration amount and the underground runoff amount is improved, the peak value of the monthly average flow simulation result in the rainy season is increased, the base flow in the dry season is reduced, the actual situation is better met, and therefore the hydrological process of the southwest karst small watershed can be more accurately simulated. And 2, a nitrogen and phosphorus load calculation mode is improved, the migration process of nitrogen and phosphorus in a surface karst zone is fully considered, a simulation result shows that the surface karst zone has an increment effect on the nitrogen and phosphorus load of a drainage basin water outlet, the change rule of the nitrogen and phosphorus load along with rainfall can be reflected more accurately, and simulation of nitrogen and phosphorus migration is more accurate.

The invention discloses a tree species and vine plant composite cultivation method which comprises the following steps: (1) investigating and surveying a karst landform area, taking the karst landform area as a planting area, selecting and planting specific tree species in the karst area, and selecting and planting sun-resistant vine plants; (2) digging holes in the planting area to plant tree seedlings; (3) building a pergola around the tree species, wherein the height and the width of the pergola are both greater than the increase of the plant height and the crown breadth of the tree species; (4) planting vine medicinal materials along the periphery of the bottom of the pergola, and guiding vines to grow around the pergola; and (5) removing the vine climbing frame after planting for 1-2 years, and erecting vines of the vine plants on trunks of the tree species. According to the cultivation method, the stress resistance of the rare tree seedlings is greatly improved, the rare tree seedlings can adapt to the climatic environment of the area, the plant height and the diameter are obviously increased, and at the moment, the rare tree plants can provide good climbing conditions for liana plants and help the liana plants to increase the growth amount.

The invention discloses a special soil conditioner for karst landform slope treatment and a preparation method thereof, and belongs to the technical field of special soil conditioners. Comprising the following raw materials in percentage by mass: 20-40% of bentonite; 10 to 15% of light gypsum; 5-10% of organic kaolin; 2-8% of a compound microbial flora; 10 to 20% of a plant extract; 3-5% of a self-adaptive polymer colloid; and 5-10% of an ecological equilibrium liquid. Through the reasonable component proportion and the innovative preparation method, the soil stability can be remarkably improved, and excellent adaptability and operation simplicity and convenience are achieved.

The invention provides a cave fish community exposure risk assessment method under the influence of climate and human activities, and the method comprises the following steps: collecting historical existence point data of target cave fishes, collecting annual average temperature (BIO1), annual average rainfall (BIO12), land utilization type (LC) and karst landform (KRT) data which affect the distribution of the cave fishes, and building a variable set; checking the colinearity of variables by using VIF and Pearson correlation coefficients, constructing a species distribution model of each genus in the cave fish community by using a MaxEnt algorithm, and simulating the distribution of the cave fish community based on SDMs; evaluating the performance of the SDMs model according to the AUC, checking the relative contribution degree of modeling factors, and achieving the stacking and simulation of the model; and according to the karst landform information, evaluating the cave fish exposure risk of the groundwater environment and the surface water environment. According to the method, the cave fish exposure risks of groundwater and surface water environments are respectively evaluated and integrated, and the problem that the adaptability to evaluation of the exposure risks of rare freshwater fishes such as cave fishes is insufficient in the prior art is solved.

The invention provides a karst landform image analysis method and system based on deep learning, relates to the technical field of deep learning, and accurately determines candidate karst landform semantic features corresponding to each semantic space by extracting basic semantic features of a karst landform image and utilizing a pre-learned karst landform image analysis model. And the candidate karst landform semantic features are loaded to the corresponding sub-models, sub-landform description feature parameters are generated, and then a detailed karst landform description knowledge chain is constructed. According to the method, the accuracy and efficiency of karst landform image recognition are remarkably improved, the images are effectively clustered through the karst landform description knowledge chain, and a data analysis means is provided for the fields of scientific research and exploration of karst landforms, geological disaster prediction, environmental protection and the like.

The invention discloses a pile-forming construction method and a pile-forming construction system for a pile foundation in a karst development area of karst landform, and relates to the technical field of pile foundation construction in a special geological district, and the pile-forming construction method comprises the following steps: step 1, preparing modified CMC wall protection slurry: selecting sodium bentonite at least containing more than 50% of montmorillonite as a slurry raw material, and taking water and industrial sodium carbonate as dispersing agents to prepare modified CMC wall protection slurry; carboxymethyl cellulose (CMC) is used as a tackifier and a fluid loss agent to prepare CMC wall protection slurry; the CMC wall protection slurry is subjected to self-adaptive improvement, so that the rheological property of the slurry is dynamically changed when the hole depth changes or the water chemical environment changes; and 2, pile hole drilling and hole wall protection are conducted, specifically, during pile hole drilling, drilling machine equipment provided with a slurry performance automatic detection system is adopted, and the viscosity and specific gravity of slurry in a hole are monitored in real time. The method has the effect of improving the pile forming efficiency and quality of the karst landform pile foundation.

The invention discloses an AI karst cave point location automatic checking and coordinate correction method and system fusing multi-source data, and relates to the field of computer vision and geographic information processing, and the method comprises the steps: obtaining multi-source cave point location data, and carrying out the data integration and standardization; according to the to-be-checked point locations in the standardized data, carrying out authenticity checking and coordinate correction based on a multi-illumination target detection model; the model comprises a lightweight attention module improved based on SEnet and a deformation space pyramid pooling module, and bounding box regression optimization is carried out by adopting a RIoU loss function; based on a combination method of geological unit partitioning, dynamic density threshold calculation and karst landform distribution probability calculation, identifying a vacant area of spatial distribution of cave point locations and performing integrity completion; and outputting the standardized cave point position set and coordinate information after authenticity verification and integrity completion. Therefore, integration of multi-source cave point location data, authenticity and integrity checking and missing point location supplementation are realized.

1. Name of the designed product: detection robot (karst landform cave). 2. Use of the designed product: detecting the direction of underground cave and underground river, and establishing three-dimensional model. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The invention relates to the technical field of three-dimensional models, in particular to a laser scanning technology-based high slope backfill construction method under karst landform. Comprising the following steps that S1, construction site data are determined, and the construction data comprise a project range, a digging and filling boundary, a digging area, a filling area and a site level elevation; s2, performing three-dimensional scanning in the construction site, and establishing a three-dimensional point cloud model of the construction site; s3, the construction site is calculated according to the three-dimensional point cloud model, and the excavation amount and the filling amount are obtained; s4, slope stability evaluation is conducted on the high slope of the construction site, and high slope construction design is conducted; s5, in the construction process, three-dimensional point cloud data and material information of materials of the material storage yard are collected, and a material database is established for storage; and S6, collecting equipment is designed on the transport vehicle, the loading capacity and the material type are collected in the loading process, and a transport strategy is generated according to the material type.