169 results about "Engineering geology" patented technology

The invention discloses a dangerous rock falling motion feature prediction method based on multi-source data fusion, and belongs to the technical field of engineering geology. Comprising the steps of collecting dangerous rock multi-source data to construct a basic information base; processing dangerous rock multi-source data based on a CNN algorithm, identifying a dangerous rock contour and calculating geometric features; the dangerous rock multi-source data is processed through multiple algorithms, and the terrain is reconstructed to generate a digital elevation and terrain model; analyzing a vibration signal frequency spectrum, quantifying dangerous rock multi-source data features and determining a fusion weight; fusing the multi-source data of the dangerous rock to construct a three-dimensional real scene model and construct a physical and mechanical model; establishing a historical database, selecting a machine learning algorithm to construct a data driving model, and adopting an optimization algorithm to predict a rockfall movement track and state; and determining a two-dimensional simulation key section, establishing a two-dimensional numerical model, and dynamically simulating and calculating rockfall movement and rock-soil body response. According to the scheme, the defects in the aspects of dangerous rock falling motion feature prediction and protection design in the prior art are overcome, and the prediction accuracy and efficiency are improved.

The invention provides a landslide displacement space-time prediction method, device and system and a storage medium, and relates to the technical field of engineering geology, and the landslide displacement space-time prediction method comprises the steps: obtaining the historical landslide multi-field time sequence monitoring data of each monitoring point of a to-be-measured region, constructing a monitoring point bitmap based on the historical space related data, constructing a time sequence characteristic matrix according to the historical displacement time sequence, the historical landslide external disturbance factor time sequence and the monitoring point bitmap; inputting the time sequence characteristic matrix and the monitoring point bitmap into a trained landslide displacement space-time prediction model to obtain a landslide displacement space-time prediction result; the landslide displacement space-time prediction model is constructed based on an improved GCN network and an improved BiLSTM network; according to the method, the space-time prediction precision of landslide displacement can be remarkably improved by combining the space correlation data and the external disturbance factors and utilizing the capability of the deep learning model.

The invention belongs to the field of geotechnical engineering and engineering geological information modeling, and relates to a stratum-parameter coupling randomness three-dimensional random field modeling and shield construction ground surface settlement rapid prediction method and device based on multi-source data fusion. According to the method, a three-dimensional joint random field acting on stratum types and rock-soil key physical property parameters at the same time can be constructed under the joint constraint of multi-source data such as drilling, geophysical prospecting, geotechnical tests and terrains, and a calibrated, explainable and updatable geological section automatic generation and uncertainty quantification channel is formed; on the premise that geological rationality is guaranteed, section geometry and parameter distribution under the conditions of complex structures and lateral phase change are restored robustly, the accuracy, consistency and interpretability of the three-dimensional geological section are remarkably improved, and a combined uncertainty result which can be directly used for rapid prediction and risk assessment of shield construction settlement is output. The technical problems that a geological section generated by an existing method is not accurate enough, uncertainty is difficult to quantify, and the extrapolation capacity of a complex scene is weak are solved.

The invention discloses a slope anchor cable support optimization design method based on global sensitivity analysis, and belongs to the technical field of engineering geology. The method comprises the following steps: screening parameters by using a local sensitivity analysis method to determine parameter subsets; secondly, in the anchor cable anchoring force loss calculation model, verifying and calibrating the parallel connection mode of the anchor cable body and the West original rock-soil body rheological model, designing a plurality of sensitivity analysis schemes, and constructing a joint probability density function of uncertainty parameters; and finally, establishing an anchor cable layout and parameter optimization model by taking maximum slope stability reliability as an optimization target and considering constraint conditions such as engineering cost and construction difficulty, and formulating corresponding anchor cable anchoring force compensation measures according to changes of key uncertainty parameters. According to the scheme, the stability risks of the side slope under different working conditions are evaluated more accurately, the engineering cost is effectively reduced and the construction difficulty is reduced on the premise of guaranteeing the stability of the side slope, and the stability of the side slope is jointly improved by designing all links from design to construction.

The invention provides a multi-source information fusion mining overlying strata high separation layer water disaster prediction evaluation method, which comprises the following steps of: constructing a coal mining, overlying strata structure index, strata space occurrence and cretaceous system aquifer prediction index system according to related data of hydrogeology, engineering geology and coal mining in a research area; through the separation water disaster multi-source information fusion prediction evaluation model of the subjective-objective weight combination of the analytic hierarchy process, the entropy weight method and the CRTIC method, accurate prediction evaluation of the separation water disaster is realized, the error of the traditional separation water disaster prediction result is reduced, the water disaster threat of the stope face is greatly reduced, a guarantee is provided for safe mining of a coal mine, and the economic benefit of the coal mine is improved. And coal mine water disaster prevention and control measures and safety production are effectively guided.

The invention relates to the field of engineering geology, in particular to a tunnel face surrounding rock lithology identification method and equipment. The method comprises the following steps: cutting a to-be-identified tunnel face surrounding rock image according to a preset size, and outputting a sub-image set; sequentially inputting the sub-image set into a pre-constructed lithology identification model, and outputting an identification result corresponding to each sub-image; and the identification result corresponding to each sub-image is synthesized to obtain a corresponding lithology condition identification graph. According to the method, tunnel face surrounding rock is segmented from a whole image through an image segmentation algorithm (mainly, a tunnel lining area outside a tunnel face is cut off), the segmented tunnel face is cut into a plurality of sub-images with the same size, and a data set is constructed through the sub-images; lithology analysis is carried out through a pre-constructed lithology identification model; and comprehensively analyzing the tunnel face image based on the proposed partition identification comprehensive evaluation method, thereby realizing efficient and accurate identification of lithology of the tunnel face surrounding rock image.

The invention provides a dynamic adjustment method for a microseismic early warning index threshold of separation water damage. The method specifically comprises the following steps: collecting related data of hydrogeology, engineering geology and coal mining in a research area; establishing a research area separation layer water disaster prediction index system; constructing a study area separation layer water disaster prediction model; microseismic data in the coal seam mining process are collected; establishing a microseismic parameter early warning index system of the separation layer water disaster in the research area; setting an initial value of a microseismic parameter early warning threshold value; dynamically adjusting a microseismic parameter early warning threshold value by adopting a machine learning calculation model; according to the method, the possibility of occurrence of the separation water disaster can be evaluated more accurately. The dynamic adjustment mode can adapt to the characteristics of bed separation water disasters in different areas and different mining stages, and the reliability and effectiveness of early warning are improved.

The invention discloses an engineering geology grouting reinforcement device, and relates to the field of geology grouting reinforcement, the engineering geology grouting reinforcement device comprises a mounting rack, the mounting rack is fixedly connected with a first telescopic driving part, the output end of the first telescopic driving part is fixedly connected with a mounting plate, and the mounting plate is fixedly connected with a grouting pipe. The grouting pipe is used for pressurizing and grouting, so that the grout enters a reinforcing gap under the action of pressure; after filling is conducted for a period of time, the injection-compression pipe moves downwards, the sealing plate blocks the grouting opening under the action of the spring to prevent grout from flowing back, meanwhile, the injection-compression pipe moves downwards to extrude the grout, the extrusion force is further increased, and geological gaps are filled with the grout more sufficiently. Through the reciprocating operation, the geological reinforcement position can be fully grouted, the stability and strength of the geological structure are effectively enhanced, the quality and reliability of grouting reinforcement are greatly improved, and the reinforcement requirement under the complex geological condition is met.

The invention discloses a dangerous rock falling motion feature analysis method based on discrete element simulation, and belongs to the technical field of engineering geology. Comprising the steps that dangerous rock data are collected through multiple means and preprocessed, and a three-dimensional visual dangerous rock mass initial model is constructed; based on the three-dimensional visual dangerous rock mass initial model, constructing a discrete element model, defining contact types and parameters among joint units by adopting a Hertz-mindlin contact theory, and determining normal contact force; based on the discrete element model and the normal contact force, a discrete element simulation technology is adopted, multi-physical field factors are considered to simulate dangerous rock falling movement, a discrete element model simulation result is obtained, a dynamic updating method is adopted for joint failure judgment, and the discrete element model is verified through an indoor physical model test and field monitoring data. And designing and implementing a prevention project according to a simulation result, thereby effectively preventing dangerous rock falling disasters and ensuring project safety.

The invention relates to the technical field of information processing, and particularly discloses a geological text generation method, system and device based on a large language model, and the method comprises the steps of text data collection, data set construction, data preprocessing, large model construction, model fine tuning and the like. And intelligent text generation of stratum lithology description based on the deep learning large language model is realized. According to the method, the ChatGLM big language model is trained, fine tuning is carried out based on the P-Tuning v2 technology, and meanwhile, the geotechnical field knowledge is fused, so that the model can understand and apply the professional knowledge of the geological lithology, the stratum lithology description text meeting the requirements of the engineering geological segmentation specification is intelligently generated according to the known lithology description information, the continuity is good, the logicality is high, and the method is suitable for being used in the field of engineering geology. The whole method is simple to operate, can efficiently improve the efficiency of manual data arrangement and analysis, and is convenient to popularize and apply.

The invention provides an underground cave depot water curtain hole investigation method, and relates to the technical field of underground cave depot investigation. The water curtain hole investigation method is a novel underground water-sealed cave depot construction investigation method. The method breaks through the cognition of the underground water-sealed cave depot about the use function of the water curtain hole in decades of years in China. The water curtain holes are formed in the position about 25 m above the oil storage cavern in parallel, the arrangement distance is smaller than ten m, the water curtain holes have the advantages of being close to the oil storage cavern, comprehensive in coverage range and capable of covering the oil storage cavern in advance, the oil storage cavern is finely surveyed in advance through the water curtain holes, the engineering geology and hydrogeology conditions of the oil storage cavern are found out, and the oil storage cavern can be found out in advance. A water curtain hole investigation result is established before construction of the oil storage cavern, grouting water plugging and supporting design of the oil storage cavern can be effectively guided, water seepage control of the underground water-sealed cavern and stability of the cavern are ensured, the project quality of project construction of the underground water-sealed cavern is integrally improved, and the later operation cost is greatly reduced.

The invention discloses a geological profile map processing method based on cross-hole CT and drilling information multi-dimensional cooperation, and relates to the technical field of intelligent processing of engineering geological image achievements. Cross-hole CT data can provide continuous distribution information of rock-soil bodies among drill holes, and lithology distribution can be depicted more finely in combination with drilling data; the advantage that cross-hole CT can detect and recognize inter-hole rock-soil body structures is combined with the advantage that drilling can obtain different-depth rock core distribution, the characteristics of the inter-hole rock-soil body structures obtained through the cross-hole CT are combined with artificial intelligence, intelligent correction of engineering geology profile maps with multi-dimensional cooperation of the cross-hole CT and drilling information is achieved, and the engineering geology profile maps with the multi-dimensional cooperation of the cross-hole CT and the drilling information are obtained. The corrected engineering geological profile map is finer and closer to the real situation, and has better reference value for engineering design and engineering decision; the risk of emergencies in the construction process can be reduced through accurate geological information, the requirement for the number of drilled holes can be reduced, and therefore the exploration cost is reduced, and the exploration time is shortened.

The invention discloses a stratigraphic water content layering inversion method based on a shallow seismic full waveform, and relates to the technical field of geophysical exploration data processing, and the method comprises the following steps: 1, under the same survey line condition, synchronously obtaining a seismic wave full waveform, complex impedance and an induced polarization frequency spectrum; 2, constructing a layered initial model containing a layer boundary line and an in-layer water content initial value; based on the layered initial model, executing dual-domain quantile alignment interface keeping iteration until convergence, and obtaining a final layer boundary line and an in-layer water content field; the double-domain quantile alignment interface maintaining iteration comprises the following steps: updating an in-layer moisture content field and a layer boundary line according to a seismic wave full waveform; and performing total variation regularization processing on the updated in-layer water content field to maintain the transition characteristic of the layer boundary line. According to the method, an efficient and reliable solution with actual guidance value is provided for mineral resource exploration, geological structure detection, groundwater survey and engineering geology evaluation.

The invention discloses an open-pit mining side slope anti-skid treatment method, which belongs to the technical field of side slope treatment, and comprises the following steps: S1, probing main factors causing a landslide through hydrogeology, engineering geology and structural analysis in combination with an exploratory well mode; s2, removing the slippery mass or too loose rock-soil mass in the pre-slide from top to bottom, expanding the boundary of the stope, and enabling the slope angle of the renovation bench to be smaller than the internal friction angle of the rock mass at the position; s3, a pre-splitting blasting technology is adopted, the influence of blasting vibration is reduced, and the stability of slope rock mass is improved; s4, surface water is prevented and drained, and underground water is dredged; s5, carrying out comprehensive surface protection on easily-weathered and relatively-broken parts of the side slope rock; s6, a hole pile and well pile combined supporting and retaining project is arranged on the lower middle portion of the new sliding body and the lower middle portion of the old sliding body; s7, carrying out stability monitoring and evaluation after slope improvement; s8, restoring vegetation after treatment; after a series of treatment, the moving speed of the landslide is reduced, the rock mass at the upper part of the side slope can be in a relatively stable state, and a very good side slope treatment effect is achieved.

The invention belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to an anti-seismic safety collaborative analysis method for multi-modal data of proximity tunnel engineering. By integrating engineering geology, structural design, construction monitoring and multi-level seismic oscillation data, a three-dimensional numerical model fusing geology and structural information is constructed. Firstly, refined simulation of the whole construction process and the operation static load is carried out, and a reference mechanical state is obtained; carrying out multi-task condition earthquake dynamic time history analysis on the basis, dynamically capturing dynamic response of surrounding rock and a structure, carrying out collaborative interpretation on static and dynamic analysis results, emphatically analyzing spatio-temporal evolution and connectivity risks of a tunnel anchor and an adjacent highway tunnel surrounding rock plastic zone, and extracting a plurality of quantitative collaborative indexes; and an interactive analysis report integrating a three-dimensional visual scene, a multi-dimensional comparison chart and a rule base-based safety interpretation conclusion is automatically generated, and systematic decision support is provided for seismic design, construction control and safety evaluation of proximity projects.

The invention discloses a precast pile stress release hole for a soft soil foundation and a construction method, and the method comprises the following steps: S100, drawing a plane layout diagram of the stress release hole according to the field condition, and carrying out hole site lofting on the plane layout diagram; s200, a site hole site is determined according to the plane layout diagram, after a drilling machine is in place, hole guiding is conducted through the drilling machine, construction is conducted in cooperation with a punching and pulling machine, and a pile casing is buried into the site hole site; s300, a drilling machine is used for conducting rotary excavating and drilling operation in the sequence from slow to fast till the drilled hole reaches the preset depth, and hole completion of the soil hole is achieved; s400, the structure of the stress release unit is optimized according to the hole completion size of the soil hole, and the specific size suitable for the field actual engineering geology is determined; s500, the punching and pulling machine is used for being aligned with the center of the soil hole to hoist the stress releasing unit into the soil hole, and the stress releasing unit is controlled not to float upwards; and S600, the steel casing is slowly pulled out through vibration of a beating and pulling machine, and a cover plate is manufactured through a formwork batten to protect the hole opening of the stress release hole. And the problem of soil squeezing effect of the soft soil foundation is solved.

The invention discloses a rock slope multi-mode instability probability analysis and risk evaluation method based on a drilling constraint condition random field, and belongs to the technical field of geotechnical engineering and engineering geology. According to the method, the conditional random field which is strictly consistent with the actually measured data is constructed under the condition of limited drilling exploration data, so that the reasonable expression of the spatial heterogeneity of the rock mass mechanical parameters is realized, and the authenticity of a numerical model and the reliability of an analysis result are greatly improved; the defect of insufficient result credibility caused by lack of actual measurement constraint of the unconditional random field is effectively overcome; through a large amount of multi-sample numerical simulation, multiple instability modes possibly occurring on the rock slope under different parameter space distribution conditions can be identified, the occurrence probability of each instability mode is quantitatively calculated, various risks possibly existing on the slope can be comprehensively grasped, only the most dangerous single condition is concerned, and the risk assessment accuracy is improved. And the accuracy and engineering applicability of slope stability analysis and risk evaluation are improved.

The invention provides a hydraulic ring geological information system based on business full life cycle digital intelligence, and the system comprises five parts: infrastructure, a data center, a functional center, an application scene, and a user group. A hydraulic ring geological service is divided into four fixed basic process units including service deployment, service execution, service inspection and data management and application, and digital closed-loop management which is based on a PDCA ring and covers the full life cycle of the hydraulic ring geological service is constructed; a hydraulic ring big data center composed of hydraulic ring subject knowledge, technical rules, business knowledge, an algorithm model and business data is established, and intelligent control over the hydraulic ring geological business process is achieved based on the big data technology and the artificial intelligence technology; based on a software engineering principle, a modular design method, multiple software design modes, a micro-service architecture and an interface technology are adopted, and five function modules of service management, business management, technology management, model management and data management are divided.

The invention discloses a response test method and device for soil layer deformation and tunnel stress in foundation pit excavation, and relates to the technical field of underground engineering tests. The method comprises the following steps: acquiring engineering geology and tunnel structure parameters, and constructing a geological tunnel coupling similarity model embedded with a layered sensing array; step-by-step excavation is adopted to simulate foundation pit construction, and soil layer displacement strain, tunnel stress contact pressure and excavation disturbance parameters are synchronously collected through multiple channels; constructing a deformation stress coupling prediction model and an excavation disturbance quantification model; and constructing a dynamic coupling response model based on the two, and outputting a dynamic coupling curve of soil layer deformation and tunnel stress. The device comprises a model box body, a data processing host and a display terminal, a layered sensing array, a dynamic loading device, a servo excavation mechanism and a multi-channel data acquisition instrument are arranged in the box body, and the whole test process integrated operation can be realized. According to the method, the dynamic coupling rule can be accurately captured, and technical support is provided for safety assessment and parameter optimization of underground engineering construction.

The invention relates to the technical field of intelligent calculation of earth-rock work amount, and discloses an earth-rock calculation method and device for wind power plant road construction and a storage medium. Comprising the following steps: S1, acquiring topographic point cloud, engineering geology and meteorological time series data of a wind power plant construction area through sensing equipment; s2, constructing a topographic map structure, generating an adjacent matrix and extracting space-time diagram convolution features; s3, constructing and solving a dynamic differential model based on the features, and predicting the volume change of earthwork; s4, improving the solving efficiency by adopting a mixed precision heterogeneous calculation strategy; and S5, introducing a geomechanical constraint optimization prediction result, and outputting a construction area earth-rock distribution diagram. According to the method, the spatial structure characteristics of the complex terrain of the wind power plant are extracted by adopting the graph convolutional neural network, a high-fidelity modeling effect on the terrain form of the road construction area is realized, and the defect that terrain detail information is difficult to express is overcome.

The invention provides a rock mass section area measuring device in a point load test, and relates to the technical field of geotechnical engineering and engineering geology. Comprising an external model framework, a profiling support mechanism, a pressure sensing positioning unit and a data acquisition and analysis system, the profiling supporting mechanism and the pressure sensing positioning unit are fixed in the integral external frame; the profiling supporting mechanism is clamped on the upper portion in a frame through the difference of the inner diameter and the outer diameter of the external model frame to form mechanical interlocking, and the lower portion of the profiling supporting mechanism is arranged above the pressure sensing positioning unit through a reserved positioning hole. The pressure sensing and positioning unit is a distributed array pressure sensor combination, and the data acquisition and analysis system is connected with the pressure sensing and positioning unit to reflect monitoring data. Pressure distribution data of a rock contact area are collected in real time through the pressure sensing and positioning unit, and the data collection and analysis system is combined with signal processing, shape recognition and 3D modeling technologies to achieve rock shape analysis and visual visualization and calculate the sectional area of the rock contact area in real time.

The invention belongs to the technical field of surface mines, and particularly discloses a large surface mine slope angle optimization method based on rock mass quality, which is used for analyzing engineering geological conditions, slope stability conditions and development trends of rock mass by surveying earth surface engineering geology of a mining area. Investigating and counting the mine slope rock mass, and determining a sampling interval and a drilling scheme according to a pre-feasibility research report; drilling and acquiring parameters corresponding to drilling samples, and grading the rock samples in the mining area according to the parameters of the drilling samples and a grading method; carrying out plane and vertical partition on the mining area slope, and calculating rock mass mechanical parameters of each area and lithology; establishing a small slope three-dimensional model according to an open-pit mining boundary, changing a slope angle, and calculating a safety coefficient to meet a predetermined specification so as to determine a maximum slope angle; an overall slope model is established, the maximum slope angle is set, and the safety coefficient is calculated to take the slope angle of the vertical partition which is improved to the maximum degree as the recommended slope angle. The method has the advantages of being simple, high in operability, stable in slope and low in stripping ratio.

The invention belongs to the field of engineering geology, particularly relates to an engineering geology soil layer name judgment system, method and equipment carried on a static sounding instrument, and aims to solve the problem that real-time dynamic soil layer name presumption cannot be carried out in an existing geotechnical engineering investigation technology. The system comprises a spectrum acquisition module which comprises a spontaneous light source and a multispectral sensor and is integrated between static sounding probe rods; the data processing module is used for analyzing the spectral data through a neural network and processing end resistance / side resistance / friction resistance ratio data of static sounding through a regression algorithm; and the data output module compares the two types of judgment results: outputting a single soil layer name when the two types of judgment results are consistent, and outputting double results and converting the double results into standard results for display when the two types of judgment results are inconsistent. According to the method, the soil layer name is presumed by adopting a real-time dynamic method, the detected sample does not need to be remodeled, the recognition accuracy and efficiency are improved, the model is fed back and optimized according to a new test set, the prediction precision is kept, and the detection speed is improved.

The application discloses a geothermal well and recharging well fracturing construction process, and determines the well position and well depth of the geothermal well according to engineering geology and hydrogeology conditions; drilling is conducted at the well position of the geothermal well, the construction of the geothermal well is conducted, and well cementation and well washing of the geothermal well are conducted; an initial value of the radius of the heat extraction influence range of the geothermal well during heat extraction is obtained; whether the initial value is smaller than a first threshold value is judged, if yes, fracturing holes are processed on the well wall of the heat extraction section in the geothermal well, and the heat extraction section is subjected to staged fracturing to form fracturing gaps; the well position and well depth of the recharging well are determined; drilling is conducted at the well position of the recharging well, the construction of the recharging well is conducted, and well cementation and well washing of the recharging well are conducted; fracturing holes are processed on the well wall of the recharging section in the recharging well, and the recharging section is subjected to staged fracturing to form fracturing gaps. The geothermal well and recharging well fracturing construction process of the embodiment of the application can improve geothermal energy flow and reduce disturbance to the stratum.

The application provides a fault identification method and system based on multi-element spectral mineral anomaly analysis, relates to the fields of geology, spectroscopy, petrology and engineering geology, and a specific scheme comprises the following steps: in-situ testing of tunnel surrounding rock is carried out by using a visible light-near infrared, mid-infrared and laser Raman spectrometer, and mixed spectral variation characteristics are extracted; based on the mixed spectral variation characteristics, the mineral composition of the tunnel surrounding rock is identified according to the spectral identification standard of the abnormal mineral combination of the fault zone, quantitative inversion of the minerals is carried out, and the mineral content is obtained; according to the mineral anomaly mode of the fault zone, mineral anomaly analysis is carried out on the mineral composition, and the mineral anomaly type is obtained; based on the differential change of the mineral content and the mineral anomaly type, mineralogical anomaly characteristic analysis is carried out, and the fault identification result is output; the application replaces the experience knowledge of traditional geologists with quantitative information of multi-element spectral mineral anomaly, and further improves the accuracy and efficiency of fault identification in tunnels and underground engineering.

The invention belongs to the technical field of geological experiments, and discloses an engineering geological experiment device which is provided with an accommodating cavity for simulating test pile variable-temperature pressurization for a frozen soil coating experiment to carry out a simulation experiment and comprises a box body with an accommodating cavity and a test pile, and the top of the box body is provided with a fixing hole for the test pile to penetrate into the accommodating cavity; a frozen soil layer for simulating actual geological conditions is arranged in the accommodating cavity, and the test pile is inserted into the frozen soil layer; temperature adjusting systems are further arranged at the bottom and the top of the frozen soil layer in the box body, the state of the frozen soil layer is kept through bottom cooling, environment temperature rise is simulated through top heating, and an external structure for providing pressure for the test pile is further arranged in the box body. The device is simple in structure and provides a pile foundation construction simulation test aiming at the frozen soil geology.

The invention belongs to the field of classification and identification of soil in engineering geology, and particularly relates to a method and system for measuring the particle size and grading of soil layer particles based on an ultrasonic sensor. The objective of the invention is to solve the problem of accurate soil layer classification and naming. High-frequency ultrasonic waves and low-frequency ultrasonic waves are alternately emitted to a soil layer to be detected. After synchronously capturing the two reflected signals, respectively extracting scattering characteristics of the first-diameter particles and penetration characteristics of the second-diameter particles; and fusing the two characteristics to generate a composite particle size distribution curve, and presuming the particle size and grading of the soil layer particles by comparing with a pre-stored soil classification judgment model. The method is implemented through an ultrasonic acquisition device of the engineering geology in-situ test equipment, the ultrasonic emission interval is dynamically adjusted according to the penetration rate of the equipment, and continuous acquisition and real-time measurement of the vertical stratum are achieved until scanning of the whole stratum profile is completed. According to the invention, the technical problems of synchronous accurate detection and in-situ continuous measurement of coarse and fine particles are solved.

The application provides a rock mass slope dumping deformation risk assessment method, system and electronic equipment, and belongs to the technical field of engineering geology and geotechnical engineering, and comprises the following steps: obtaining basic parameters of a rock mass slope to be evaluated, i.e., valley depth H, valley width W, average dip angle alpha of an anti-dumping rock layer constituting a slope main body and a comprehensive parameter representing the overall quality of the rock mass; calculating three core factors, i.e., a geomorphology unloading driving factor Gf, a structure vulnerability factor Sv and a rock mass comprehensive resistance factor Rr; calculating an unloading-dumping coupling coefficient UTI of the rock mass slope: UTI=(Gf*Sv) / Rr; comparing the calculated UTI value with preset risk classification threshold values to determine the dumping deformation risk grade of the rock mass slope to be evaluated. The application establishes a scientific, efficient, objective and quantitative dumping deformation risk rapid assessment method, which can be widely applied to route comparison and selection, disaster census and risk screening in the early stage of engineering construction in the fields of water conservancy and hydropower, transportation and the like.

The utility model relates to the technical field of soil sampling, and discloses a soil sampling mechanism for engineering geology detection, which comprises a base and a drilling head, the top of the base is fixedly connected with an electric sliding rail, the outer wall of the electric sliding rail is provided with a sliding sleeve, the outer wall of the sliding sleeve is fixedly connected with a motor, the output end of the motor is fixedly connected with a fixed seat, and the fixed seat is fixedly connected with the drilling head. A worm is rotatably connected to the interior of the fixing base, a hand wheel is fixedly connected to one end of the worm, a turbine is rotatably connected to the interior of the fixing base, and a wheel disc is fixedly connected to the interior of the turbine. The hand wheel is reversely rotated to drive the clamping block to reset, the clamping block is supported in an auxiliary mode through tension of the first spring, then the clamping block is embedded into the clamping groove to lock the drilling head, the effect of conveniently replacing the drilling head is achieved, and the problem that after an internal hexagonal wrench needs to be used, a clamp is loosened, and then a proper drilling head is installed, the drilling head cannot be replaced is solved. And the tool is matched for screwing, so that the replacement efficiency of the soil sampling mechanism for engineering geological detection is improved.