39 results about "Karst landform" patented technology

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 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 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 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 agricultural engineering and land reclamation, and particularly discloses a high-standard farmland reconstruction method for mountainous and hilly areas. The method comprises the steps of performing planning intervention in a mountain gully region; the planting soil is stripped, and base anti-seepage treatment is carried out; a blocking structure composed of anti-slide piles, a retaining wall and an inspection well with water seepage holes is constructed on the downstream; layered backfilling of urban discarded earthwork is utilized, large-particle-size stones at the bottom layer form an invisible water storage layer, a separation and filtration layer and an anti-permeability geomembrane are arranged in the middle layer, and planting soil is filled on the surface layer. Urban waste residues can be subjected to resource utilization, the problems of serious water leakage and water source shortage of the karst landform are effectively solved by constructing the earth surface tillage and underground water storage structure, large-scale continuous leveling of farmland is achieved, and the mechanization level and disaster resistance and reduction capacity of mountain agriculture are remarkably improved.

This invention discloses a method and system for karst landform identification based on UAV hyperspectral imaging, relating to the field of UAV remote sensing technology. The method includes acquiring range data of the area to be explored and conducting surveying and deployment; determining the UAV take-off and landing points and flight path map based on the surveying and deployment results; collecting hyperspectral data, ground-measured benchmark data, and topographic spatial reference data according to the flight path map based on the UAV take-off and landing points; performing radiometric geometric joint correction on the hyperspectral data based on the ground-measured benchmark data and topographic spatial reference data to obtain corrected hyperspectral reflectance data; and using the corrected hyperspectral reflectance data, topographic spatial reference data, and ground-measured benchmark data to identify karst landforms, thus obtaining the karst landform identification results for the area to be explored. This method achieves low-cost, high-efficiency, and full-area coverage of karst landform exploration through UAVs, and ensures high accuracy in identifying karst geological features through multi-source data collaborative correction and fusion identification.

The application relates to the technical field of crop recognition, in particular to a karst landform crop unmanned aerial vehicle image recognition system based on multi-scale features, which comprises a feature database construction module, which is used for constructing a layered crop feature database, wherein the crop feature database comprises a plurality of storage areas for storing feature data of different crop categories, each storage area comprises a plurality of feature layers, and a correlation relationship is established between the plurality of feature layers in the same storage area; an image acquisition and preprocessing module, which is used for acquiring remote sensing images of a to-be-recognized region collected by an unmanned aerial vehicle, and performing geometric correction, spectral correction and standardized slice preprocessing on the remote sensing images to obtain to-be-analyzed images; and a feature extraction and matching module, which is in communication connection with the feature database construction module and can improve the recognition efficiency and accuracy of crop categories.

This invention discloses a method and system for karst landform identification based on UAV hyperspectral imaging, relating to the field of UAV remote sensing technology. The method includes acquiring range data of the area to be explored and conducting surveying and deployment; determining the UAV take-off and landing points and flight path map based on the surveying and deployment results; collecting hyperspectral data, ground-measured benchmark data, and topographic spatial reference data according to the flight path map based on the UAV take-off and landing points; performing radiometric geometric joint correction on the hyperspectral data based on the ground-measured benchmark data and topographic spatial reference data to obtain corrected hyperspectral reflectance data; and using the corrected hyperspectral reflectance data, topographic spatial reference data, and ground-measured benchmark data to identify karst landforms, thus obtaining the karst landform identification results for the area to be explored. This method achieves low-cost, high-efficiency, and full-area coverage of karst landform exploration through UAVs, and ensures high accuracy in identifying karst geological features through multi-source data collaborative correction and fusion identification.

The utility model discloses protective unmanned aerial vehicle equipment for karst landform observation, and relates to the technical field of unmanned aerial vehicles. The unmanned aerial vehicle comprises an unmanned aerial vehicle body, and the bottom of the unmanned aerial vehicle body is fixedly connected with a shell; a switching assembly is arranged in the shell, the switching assembly comprises a double-shaft motor, the double-shaft motor is arranged in the shell, the output end of the double-shaft motor is fixedly connected with a transmission rod, and the two sides of an inner cavity of the shell are rotationally connected with rotating rods; the two sides of the shell are each provided with a protection assembly, and each protection assembly comprises an electric telescopic rod. Through work of the double-shaft motor, a transmission rod can be driven to rotate, then a first bevel gear is driven to rotate, the first bevel gear drives a second bevel gear to rotate, the second bevel gear drives a rotating rod to rotate, the rotating rod drives a movable plate to rotate, and the movable plate drives a protection plate to rotate through an electric telescopic rod. Therefore, the purpose of switching the protection target is achieved.

A meteorological service early warning device applied to a karst landform scenic spot relates to the technical field of meteorological service early warning and is used for improving the accuracy of a detection result of meteorological disasters caused by rainfall in the karst landform scenic spot. The meteorological service early warning device applied to the karst landform scenic area comprises a monitoring module, a data processing module and an early warning module, the monitoring module comprises a displacement sensor, an inclination sensor, a soil humidity sensor and a pressure type water level sensor, the displacement sensor is arranged on a bedrock or concrete base and used for monitoring displacement changes of the geologic body, and the inclination sensor is attached to the surface of the geologic body and used for monitoring the inclination condition of the geologic body; the soil humidity sensor is buried in soil and used for measuring the water content of the soil, and the pressure type water level sensor is arranged in a karst cave ponding area and used for monitoring the ponding amount of the karst cave ponding area.