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1430 results about "Geological survey" patented technology

A geological survey is the systematic investigation of the geology beneath a given piece of ground for the purpose of creating a geological map or model. Geological surveying employs techniques from the traditional walk-over survey, studying outcrops and landforms, to intrusive methods, such as hand augering and machine-driven boreholes, to the use of geophysical techniques and remote sensing methods, such as aerial photography and satellite imagery. Such surveys may be undertaken by state, province, or national geological survey organizations to maintain the geological inventory and advance the knowledge of geosciences for the benefit of the nation. A geological survey map typically superimposes the surveyed extent and boundaries of geological units on a topographic map, together with information at points (such as measurements of orientation of bedding planes) and lines (such as the intersection of faults with the land surface). The maps and reports created by geological survey organisations generally aim for geographic continuity and completeness in establishing the spatial patterns of near-surface rock units. The map may include cross sections to illustrate the three-dimensional interpretation. Subsurface geological and geophysical maps, providing limited coverage of deeper geology (known, for example, from drilling for oil or gas), are maintained internally by major oil companies and regulators. Some geological survey organisations have collaborated with them to include subsurface geology in their systematic surveys, for example, the Geological Atlas of the Western Canada Sedimentary Basin. Subsurface maps typically depict the three-dimensional form of geological surfaces by means of contours and cross sections. Computer-based models are increasingly used to provide more comprehensive information storage and greater flexibility of presentation. In the United States, the 50 state surveys are coordinated by the Association of American State Geologists.

Deep concealed deposit detection method based on multi-source geological data fusion

The invention provides an innovative deep concealed ore deposit detection method, which comprehensively utilizes geology, geophysics, geochemistry and remote sensing technologies, and realizes effective integration of multi-source geological data by developing an advanced data fusion algorithm. According to the method, data collected by geological survey, wide-area electromagnetic method exploration, hydrocarbon-mercury superposition halo analysis and aviation hyperspectral remote sensing are subjected to standardized preprocessing, so that the consistency and accuracy of the data are ensured; and then, deep analysis is carried out on the fused data by utilizing machine learning and statistical analysis technologies so as to identify and predict mineralization modes and abnormal regions. Finally, a three-dimensional geologic model is constructed, the form and distribution of an ore deposit are visually displayed, and a scientific basis is provided for geological exploration. The method is characterized in that a multi-source data fusion technology and mineralization mode identification automation and precision are realized, so that the efficiency and the accuracy of deep hidden ore deposit detection are remarkably improved.
Owner:湖南省遥感地质调查监测所

Strain-structural plane slip-type rockburst failure mechanism analysis method for drill-and-blast method tunnel

The present invention relates to the technical field of tunnel rockburst microseismic monitoring, and provides a strain-structural plane slip-type rockburst failure mechanism analysis method for a drill-and-blast method tunnel. The present invention collects strain-structural plane slip-type rockburst microseismic data during tunnel construction; in light of engineering geological survey data, performs microseismic monitoring and data analysis on strain-structural plane slip-type rockburst that has occurred in a tunnel, divides a strain-structural plane slip-type rockburst risk area, and determines a microseismic rockburst early warning area; and, by means of these data, deeply understands a microseismic activity law of strain-structural plane slip-type rockburst of deep-buried drill-and-blast method tunnels, discriminates respective functions of tensioning and shearing in rock failure processes, comprehensively analyzes the failure mechanism of strain-structural plane slip-type rockburst, and further obtains the failure mechanism of strain-structural plane slip-type rockburst of the deep-buried drill-and-blast method tunnels, providing an important theoretical basis for predicting and preventing rockburst disasters.
Owner:NORTHEASTERN UNIV CHINA

Municipal intelligent construction integrated collaborative design method

The invention discloses a municipal intelligent construction integrated collaborative design method, and relates to the technical field of municipal intelligent construction, and the method comprises the following steps: obtaining initial geological survey data of a municipal project, and monitoring the dynamic change of geological data in a construction process in real time through sensor equipment; through bidirectional dynamic linkage of the BIM model and geological data and the geological change prediction model, a municipal project can master geological changes in real time, design and construction schemes are automatically adjusted, it is ensured that the design is matched with the actual geological condition, and hidden dangers such as subgrade settlement and pipeline dislocation are effectively prevented. In combination with machine learning, an optimization algorithm and an intelligent decision-making system, a construction party can generate adjustment suggestions in real time, the construction sequence, material selection and equipment use strategies are flexibly optimized, the construction efficiency is improved, and the cost is reduced. Multi-dimensional evaluation ensures that the construction decision is scientific and reasonable, risks caused by geological changes are reduced, and an efficient solution is provided for digital and intelligent transformation of municipal engineering.
Owner:GUANGZHOU MUNICIPAL GRP DESIGN INST CO LTD +2

Intelligent design method for support scheme of rock burst section in TBM tunnel

An intelligent design method for a support scheme of a rock burst section in a TBM tunnel, relating to the field of tunnel engineering. The intelligent design method for the support scheme of the rock burst section in the TBM tunnel comprises: determining a surrounding rock class on the basis of TBM mainframe operation data, surrounding rock feedback evaluation, and a tunnel engineering geological survey report, and using a rock burst intensity assessment method to predict a rock burst grade; and on the basis of the surrounding rock class and the rock burst grade, using a computer deep learning technology to determine an initial surrounding rock support method. The method effectively avoids the impact of subjective factors, actively utilizes TBM mainframe operation data and surrounding rock feedback evaluation, utilizes big data processing and an artificial intelligence technology to propose an intelligently designed support scheme for a rock burst section in a TBM tunnel, and can provide an efficient support scheme for field construction workers for a rock burst section in a tunnel.
Owner:NORTHEASTERN UNIV CHINA

Underground cavern inspection method and system

The invention relates to the technical field of route planning, in particular to an underground cavern inspection method and system. The method comprises the following steps: acquiring geological survey data, micro-seismic monitoring data and historical deformation monitoring data; according to the geological survey data and the micro-seismic monitoring data, rock mass viscoelasticity local modeling is carried out, and a rock mass viscoelasticity model is obtained; performing deformation trend prediction according to the rock mass viscoelastic model and the historical deformation monitoring data to obtain deformation trend data; performing deformation disturbance resonance analysis according to the deformation trend data and the micro-seismic monitoring data to obtain deformation disturbance resonance data; performing risk area grading on the deformation disturbance resonance data to obtain risk area grading data; and generating a routing inspection graph according to the risk area grading data to obtain routing inspection graph data so as to carry out underground cavern routing inspection auxiliary operation. The method accurately identifies the potential risk area, dynamically plans the inspection task, and improves the inspection efficiency and decision timeliness.
Owner:POWERCHINA ZHONGNAN ENG

Ground source heat pump buried pipe system design method based on building load change

The invention provides a ground source heat pump buried pipe system design method based on building load change, comprising the following steps: S1, acquiring geological survey data, meteorological data and building load data, and presetting buried pipe heat exchange system parameters; s2, establishing a multi-physics field coupling numerical model; s3, transient simulation is carried out through a multi-physics field coupling numerical model, and system short-term thermal response characteristic data corresponding to each candidate length are acquired and stored; s4, constructing and training a long-term dynamic performance prediction model through the long and short-term memory network model; and S5, based on a multi-objective optimization algorithm, solving a multi-objective optimization problem, obtaining a group of Pareto optimal buried pipe total length solution sets, and selecting a final buried pipe optimal total length from the optimal solution sets. According to the method, the design precision of the ground source heat pump buried pipe can be remarkably improved, the long-term dynamic prediction capacity is achieved, the reliability, economical efficiency and environment friendliness of long-term operation of a ground source heat pump system can be guaranteed, and the design efficiency and reliability are improved.
Owner:SHANDONG JIANZHU UNIV +1

Method and system for monitoring real-time data of shield tunneling machine and improving operation efficiency

The invention provides a shield tunneling machine real-time data monitoring and operation efficiency improving method and system, and relates to the field of industrial equipment intelligent monitoring and optimal control. Multifunctional sensor modules are arranged on a cutter head system, a propelling system, a soil bin system and a shield tail system of a shield tunneling machine to collect operation parameters; and the local data processing unit is used for filtering and checking the data, so that the accuracy and reliability of the data are ensured. Based on a geological survey report, geological conditions are divided into multiple stratums, differential monitoring parameter combinations for different stratums are constructed, and dynamic monitoring and adjustment are achieved. And a tunneling speed optimization model based on the stratum discrimination function is further established, and the optimal tunneling speed is calculated in real time according to the dynamic change of the stratum characteristics, so that the tunneling efficiency of the shield tunneling machine is remarkably improved, the construction uncertainty is reduced, and the construction safety is improved.
Owner:JINAN GUANGJIN CONSTRUCTION ENGINEERING CO LTD

Optimized layout method of closed conduit-side slope system based on weak intercalated layer control

The invention discloses a weak intercalated layer control-based closed conduit-slope system optimization layout method, which comprises the following steps of S1, geological survey and parameter acquisition: accurately positioning a weak intercalated layer through a geological radar and drilling coring, and determining a rock-soil body strength parameter by combining a laboratory rock-soil mechanical test, geological radar data and rock-soil body strength parameters are analyzed through a random forest algorithm, and the interlayer space distribution rule is predicted. By combining geological survey, numerical simulation, intelligent optimization and dynamic monitoring technologies, scientific layout and adjustment of a closed conduit-side slope system are realized, a weak intercalated layer seepage path is accurately cut off, the safety coefficient of the side slope is effectively improved, meanwhile, expansion of a plastic zone is effectively inhibited, settlement of an overlying soil body or large-range deformation of the side slope is reduced, and the stability of the side slope is improved. The seepage stability and the stress slow release capacity of the system are enhanced, the safety of the water diversion project in a complex geological area is improved, and an operable technical path and basis can be provided for layout of similar projects in the future.
Owner:SHIHEZI UNIVERSITY

Geological mapping method based on unmanned aerial vehicle three-dimensional modeling

The invention discloses a geological mapping method based on unmanned aerial vehicle three-dimensional modeling, and relates to the technical field of geological survey and intelligent path planning, and the method comprises the steps: S1, extracting an initial feature data set from geological information through constructing a three-dimensional space data processing frame, decomposing the original data into a plurality of sub-region data sets, obtaining a preliminary classification geological information set, and carrying out the calculation of the preliminary classification geological information set; s2, analyzing abnormal values and boundary information in the sub-region data set according to the preliminarily classified geological information set, and determining a potential key geological feature point position set, and S3, matching the point position set with geological environment parameters according to the key geological feature point position set, recalibrating the point positions if the matching degree is lower than a preset threshold value, and if the matching degree is lower than the preset threshold value, recalibrating the point positions if the matching degree is lower than the preset threshold value. An optimized geologic characteristic distribution diagram is obtained; according to the geological mapping method based on unmanned aerial vehicle three-dimensional modeling, the accuracy and efficiency of geological survey in a complex terrain environment are effectively improved, and comprehensive technical support is provided for field geological survey.
Owner:SHANDONG GEOLOGICAL EXPLORATION INST OF SINOCHEM GEOLOGY & MINING ADMINISTRATION

High-precision logging lithology intelligent identification method and system based on DenseNet-Transform depth fusion, and storage medium

The invention discloses a high-precision logging lithology intelligent identification method based on DenseNet-Transformer depth fusion. The method comprises the following steps: step 1, carrying out data preprocessing; and step 2, constructing a deep learning model in which a DenseNet mechanism and a Transform mechanism are fused. According to the method disclosed by the invention, efficient feature multiplexing is realized by using the dense connection characteristic of the DenseNet through a deep learning technology, and the global feature modeling capability is enhanced in combination with the Transform network, so that the lithology identification accuracy and generalization capability are remarkably improved. The method is suitable for intelligent analysis of complex logging data, especially shows excellent performance in the aspects of high-dimensional data processing and fine feature extraction, greatly improves the recognition difficulty of a traditional method in a complex stratum structure, and provides important technical support and efficient decision basis for the fields of oil-gas exploration, geological survey and the like.
Owner:CHINA INST OF RADIO PROPAGATION

Intelligent safety and stability assessment method, system and equipment for underground cavern and storage medium

The invention provides an intelligent safety and stability assessment method, system and device for an underground cavern and a medium, and the method comprises the following steps: S1, building a three-dimensional geological model of the underground cavern according to initial geological exploration data; s2, multiple monitoring instruments are pre-buried in key parts of the underground cavern, and monitoring data are collected in real time; s3, constructing an underground cavern safety and stability evaluation model based on a deep learning algorithm; s4, inputting real-time monitoring data into an evaluation model, combining historical monitoring data and geological model information, analyzing and comparing with a three-dimensional numerical calculation result, adjusting geological parameters, performing reconstruction evaluation, and outputting a safety and stability level; and S5, according to an evaluation result, automatically generating early warning information and processing suggestions. According to the method, the problems of poor real-time performance and low data utilization rate of traditional evaluation under complex geological conditions are solved, and the intelligent level of construction safety monitoring of underground cavern groups such as hydropower stations and pumped storage projects can be effectively improved.
Owner:POWERCHINA HUADONG ENG CORP LTD

Dynamic geological survey system and construction simulation method

The invention discloses a dynamic geological survey system and a construction simulation method. The dynamic geological survey system comprises an intelligent sensing and data acquisition module and a multi-source data fusion processing module, the intelligent sensing and data acquisition module comprises a Raman scattering optical fiber strain sensor array, a three-component seismometer monitoring network and a distributed optical fiber pressure sensing subsystem; the Raman scattering optical fiber strain sensor array, the three-component seismometer monitoring network and the distributed optical fiber pressure sensing subsystem form a multi-dimensional sensing network for shield construction geological monitoring. By means of the integrated intelligent sensing and data acquisition module, geological changes in the shield construction process can be monitored. The Raman scattering optical fiber strain sensor array, the three-component seismometer monitoring network and the distributed optical fiber pressure sensing subsystem jointly form a multi-dimensional sensing network, geological strain, microseismic events, pore water pressure and other key information can be captured, and comprehensive geological data support is provided for construction.
Owner:POWERCHINA RAILWAY CONSTR +2

Geological survey optimization method and system based on big data analysis

The invention provides a geological survey optimization method and system based on big data analysis, and relates to the technical field of data processing, and the method comprises the steps: distributing different cost weights for different regions; constructing an initial cost matrix based on geological characteristics, continuously finely adjusting node cost and calculating an evaluation function value, gradually cooling until a final temperature is reached, and outputting an optimized inter-node cost matrix; by initializing the distance and the access array, unaccessed nodes are continuously selected, the distance corresponding to the adjacent nodes is updated until all the nodes are accessed, and finally the corresponding path from the starting point to the target area is output; a mineral resource evaluation model is established based on multi-source geological data, and geological resource distribution of a whole research area is finally predicted by calculating index contribution, screening key areas, evaluating investigation priorities, selecting sampling points and establishing and optimizing a resource prediction model. The geological survey efficiency and accuracy can be improved.
Owner:SHANDONG INST OF GEOLOGICAL SCI

Engineering geological exploration and evaluation method based on remote sensing technology

The invention relates to an engineering geological exploration and evaluation method based on a remote sensing technology, and relates to the technical field of remote sensing, a laser radar and an unmanned aerial vehicle are used for aerial photography to obtain ground three-dimensional point cloud data, soil samples are collected through geological exploration to obtain geological data, and the obtained point cloud data and geological data are cleaned and denoised to obtain an evaluation result. According to the processed point cloud data, generating a digital elevation model to analyze topographic features, respectively performing feature extraction on the point cloud data and the geological data, establishing a landslide risk assessment model by using a machine learning method, and performing landslide risk assessment and grade division on a target area according to a result of the model. The point cloud data and the geological data are combined, fusion of multi-source data can be achieved, richer input is provided for a landslide risk assessment model, and the precision of landslide risk assessment is improved.
Owner:NUCLEAR IND JINHUA ENG EXPLORATION INSTITUTIONS

Mountain tunnel surrounding rock deformation monitoring method and system based on distributed optical fiber sensing

The invention relates to the technical field of deformation monitoring, in particular to a mountain tunnel surrounding rock deformation monitoring method and system based on distributed optical fiber sensing. The method comprises the following steps that Brillouin frequency shift original data and center wavelength original data are collected, tunnel construction progress data and surrounding rock geological survey data are obtained at the same time, format standardization and time sequence alignment processing is carried out, and preprocessed optical fiber sensing basic data, construction time sequence data and geological attribute data are generated; surrounding rock deformation characteristic parameters are extracted based on the optical fiber sensing basic data, and surrounding rock deformation multi-dimensional characteristic vectors are constructed; performing deformation mode density clustering and surrounding rock deformation dynamic prediction based on the surrounding rock deformation multi-dimensional feature vector to generate a surrounding rock deformation dynamic prediction value; and carrying out comparison and iterative correction on the dynamic prediction values of the surrounding rock deformation, and carrying out regionalized polymerization to generate a mountain tunnel surrounding rock deformation spatial and temporal distribution visualization result. According to the invention, full-time-space accurate monitoring and early warning of tunnel surrounding rock deformation can be realized.
Owner:中铁长江交通设计集团有限公司

Foundation pit precipitation prediction method based on digital twinborn technology

The invention relates to the technical field of building construction, in particular to a foundation pit dewatering prediction method based on a digital twinborn technology, which comprises the following steps of: 1, establishing a multi-source data fusion layer; 2, establishing a digital twin modeling layer; 3, establishing an intelligent prediction algorithm layer; 4, establishing a dynamic optimization decision layer, and generating a precipitation well optimization scheme based on a prediction result; according to the method, engineering geological data of a geological survey report before excavation of the building foundation pit, historical meteorology of a building location and hydrogeological data are utilized, digital twinning is carried out on precipitation during the whole construction period of the proposed building foundation pit on the basis of a digital twinning technology, the precipitation period, daily precipitation and influence of precipitation on foundation pit supporting are predicted, and the foundation pit supporting effect is improved. According to the method, the influence of settlement deformation of surrounding buildings is reduced, digital simulation is provided for smooth construction of a whole project, and measurement and prediction are provided for the project and the surrounding environment, so that the construction cost is greatly reduced.
Owner:DONGJIALIN GRP CO LTD

Underground water exploitable quantity evaluation method and system based on coupling of physical mechanism and neural network

The invention discloses an underground water exploitable quantity evaluation method and system based on coupling of a physical mechanism and a neural network, and relates to the technical field of water resource management, meteorological data, surface water hydrological monitoring data, geological survey data, underground water resource development and utilization data and hydrogeological parameter data are integrated and preprocessed, and a basic data set is obtained; a three-dimensional geological model of a heterogeneous structure is constructed by utilizing a digital twin physical engine and combining drilling geological data. By introducing a digital twin technology and a numerical model, the underground water flowing process can be simulated more accurately, a digital twin physical engine is utilized to construct a heterogeneous aquifer digital model, a dynamic interaction process of surface water and underground water is embedded, and the model is enhanced through a graph neural network and a physical information neural network, so that the underground water flowing process is simulated more accurately. Errors caused by hypothesis of aquifer homogeneity, neglecting of surface water-underground water coupling process and the like of a traditional model are effectively reduced, and the accuracy of underground water exploitable quantity evaluation is improved.
Owner:INST OF HYDROGEOLOGY & ENVIRONMENTAL GEOLOGY CHINESE ACAD OF GEOLOGICAL SCI

Foundation pit dewatering treatment method and system, electronic equipment and storage medium

The invention discloses a foundation pit dewatering treatment method and system, electronic equipment and a storage medium, and relates to the field of foundation pit dewatering treatment. The method comprises the following steps: acquiring various data from sensors mounted at preset positions around a foundation pit and inside the foundation pit, integrating the various data with meteorological data and geological survey data, and establishing a space-time database; according to the data in the space-time database, using a preset LSTM neural network model to predict a first water level change in a future preset time, and according to the three-dimensional seepage field dynamic simulation engine, using a soil parameter inversion algorithm of machine learning to invert soil parameters; according to the first water level change, a variable frequency pump group cooperative control algorithm is used for cooperative control over the pump set, and pump set operation parameters are dynamically adjusted for drainage; and controlling the recharge pressure and the water quality according to the second water level change of the foundation pit after drainage and the soil parameters. According to the technical scheme, efficient and intelligent treatment of foundation pit dewatering is achieved.
Owner:JIANGSU ROCK BASE UNDERGROUND ENG CO LTD

Foundation collapsibility monitoring data analysis platform

The invention discloses a foundation collapsibility monitoring data analysis platform, which relates to the technical field of foundation monitoring and data analysis and comprises a data acquisition module, a data fusion and analysis module, a risk assessment module and a result display and update module. Through innovative design of multi-source data fusion, geological survey data, environment monitoring data and foundation physical parameter data are organically combined, comprehensive and accurate assessment of foundation collapsibility is achieved, a multi-dimensional risk assessment index system is constructed by means of an advanced algorithm and dynamically updated, foundation collapsibility risk changes are reflected in time, and foundation collapsibility assessment accuracy is improved. Through visual display and interaction functions, engineers can conveniently and intuitively understand the foundation condition and obtain targeted risk management and control suggestions, the scientificity and rationality of engineering decision are effectively improved, the occurrence rate of safety accidents caused by the foundation collapse problem is reduced, the engineering construction and maintenance cost is reduced, and long-term stable operation of the engineering is guaranteed.
Owner:XIAN UNIV OF TECH

Potential landslide hidden danger identification method based on rock mass deterioration characteristics

The invention relates to the technical field of geological survey, in particular to a potential landslide hidden danger identification method based on rock mass deterioration characteristics. The technical problems that in the prior art, in landslide monitoring, the monitoring range is limited, data collection is not comprehensive, and early warning timeliness is insufficient are solved; according to the technical scheme, the potential landslide hidden danger identification method based on the rock mass degradation characteristics comprises the steps that feature extraction is conducted on a preprocessed image through a convolutional neural network, the rock mass degradation characteristics are identified, and the identified degradation characteristics are converted into numerical value characteristics; compared with the problems of limited monitoring range, incomplete data collection and insufficient early warning timeliness in landslide monitoring in the prior art, the intelligent machine vision technology is used for identifying the rock mass degradation characteristics, and the sensor network is deployed in combination with the Internet of Things technology to monitor the rock mass state in real time; the cloud computing platform is used for data analysis and processing, and finally intelligent early warning of the landslide hidden danger is achieved.
Owner:JINAN SURVEYING & MAPPING RES INST

Path planning method and system for geological survey of unmanned aerial vehicle

The invention relates to the technical field of unmanned aerial vehicle geological survey, and discloses a path planning method and system for unmanned aerial vehicle geological survey, and the method comprises the steps: obtaining the image, spectrum and topographic data of a remote mountainous area through a multispectral sensor and a laser radar, and recognizing potential vein abnormal points through data fusion and geological feature analysis; and constructing a geological interestingness weight map and planning a flight path. Dense sampling flights are performed in a high interestingness region, high resolution data are processed in real-time to identify key reconnaissance targets, a weight map is updated, and a flight trajectory is dynamically adjusted. Through the closed-loop self-adaptive exploration process, accurate positioning and feature description of the hidden vein are realized, the mineral exploration efficiency is improved, the labor cost and the safety risk are reduced, and an innovative solution is provided for mineral resource exploration in remote areas.
Owner:JIANGSU SHIGUANG GEOGRAPHIC INFORMATION TECH CO LTD

Rainfall slope stability assessment method based on physical determinacy coupling model

The invention relates to the technical field of rainfall slope evaluation, in particular to a rainfall slope stability evaluation method based on a physical certainty coupling model. The method comprises the following steps: acquiring digital elevation model data, engineering geological survey data and historical rainfall data of a target area; extracting topographic features from the digital elevation model data to obtain basic topographic parameters; the method comprises the following steps: carrying out longitudinal layering division on a rock-soil body based on engineering geological survey data, and carrying out physical and mechanical parameter setting on each layered rock-soil body to obtain a rock-soil body layering parameter set; and performing frequency analysis on the historical rainfall data to obtain an extreme rainfall intensity sequence. According to the method, by fusing the multi-source data and the three-dimensional physical coupling model, dynamic and accurate rainfall induced slope stability evaluation and risk early warning are realized, and the prediction precision is effectively improved.
Owner:INST OF GEOMECHANICS

Urban geological survey method based on big data cloud computing technology

The invention relates to the technical field of urban geological survey, in particular to an urban geological survey method based on a big data cloud computing technology, which comprises the following steps: based on urban geological drilling detection data, land subsidence monitoring data and underground pipe network distribution data, grouping the data according to geographic grid units and time points, performing statistical analysis to obtain a geological parameter statistical set; and based on the geological parameter statistical set, setting multiple levels of storage partitions according to a data updating frequency, and establishing a geological data partition storage table. According to the method, urban geological data are grouped according to geographic grid units and time points, a multi-level storage partition mechanism is established, hierarchical storage and compression of the data are realized, the occupied storage space is reduced, and the data access speed is increased; key monitoring areas are screened based on a geological parameter change rate threshold, differential compression storage strategies are adopted for different areas, and the overall storage efficiency is optimized on the basis of guaranteeing important data integrity.
Owner:SHANDONG PROVINCIAL GEOLOGICAL & MINERAL EXPLORATION & DEV BUREAU 801 HYDROGEOLOGY & ENG GEOLOGY BRIGADE (SHANDONG PROVINCIAL GEOLOGICAL & MINERAL ENG EXPLORATION INST)

Over-beach foundation pit excavation soil parameter random prediction assignment method

The invention discloses a method for randomly predicting and assigning parameters of an excavated soil body of a beach-overtopping foundation pit. The method comprises the following steps of: collecting geological survey data and construction information of an excavated area of the beach-overtopping foundation pit, screening redundant parts of characteristic parameters, retaining variables which have influences on mechanical parameters of the soil body, and constructing a complete original database; collected data is divided into a training set and a verification set, the training set is used for preliminary training of the model, and the verification set is used for optimization and verification of the model. According to the method, the nonlinear relation of the complex variables is captured through the random forest model, dynamic monitoring and real-time optimization are combined, the soil parameter prediction precision is remarkably improved, and the construction uncertainty risk is reduced; the dynamic monitoring function quickly responds to soil body changes in construction, the prediction result is optimized, and the construction safety is improved; the random field assignment method effectively reflects the spatial variability of soil parameters, supports multi-scene risk assessment, and provides scientific basis and reliable guarantee for engineering design and construction.
Owner:CHONGQING UNIV

Hydraulic ring geological survey system and method based on GPS positioning

The invention relates to the technical field of hydraulic ring geological survey, in particular to a hydraulic ring geological survey system and method based on GPS positioning, and the method comprises the following steps: obtaining the three-dimensional coordinate data of a survey area through a GPS positioning device, generating an initial geological positioning point set, inputting the initial geological positioning point set into a three-dimensional modeling system, generating an initial three-dimensional geological model, and carrying out the three-dimensional modeling of the initial three-dimensional geological model. Dynamically correcting the initial three-dimensional geologic model through an environment compensation algorithm to generate a corrected geologic model, dividing a geologic abnormal region through a spatial clustering algorithm based on a rock stratum permeability coefficient abnormal gradient value in the corrected geologic model, comparing the geologic abnormal region with an engineering parameter threshold library to generate a visual investigation report, and performing the visual investigation on the geologic abnormal region. An internet of things monitoring node network is established, displacement monitoring is carried out on a geological abnormal area, if a monitoring value exceeds a preset threshold value, an early warning signal is triggered, and the method can be widely applied to the fields of hydraulic ring geological survey, engineering construction and disaster early warning and has remarkable technical advantages.
Owner:SHANDONG PROVINCIAL GEOLOGICAL & MINERAL EXPLORATION & DEV BUREAU 801 HYDROGEOLOGY & ENG GEOLOGY BRIGADE (SHANDONG PROVINCIAL GEOLOGICAL & MINERAL ENG EXPLORATION INST)

Deep rock mass creep-seepage coupled near-field dynamics simulation method and system

The invention provides a deep rock mass creep-seepage coupled near-field dynamics simulation method and system, and relates to the technical field of geotechnical engineering.The method comprises the steps that a near-field dynamics numerical calculation model is established based on geological survey data; based on the Burgers creep constitutive model, a near-field dynamic creep-seepage coupling basic motion equation is formed; and carrying out rock mass creep process simulation considering the seepage effect by utilizing the near-field dynamics numerical calculation model and the creep-seepage coupling basic motion equation, and carrying out iterative solution on stress, strain, displacement, water pressure and damage of each time step in the simulation process until iteration stop conditions are met, so as to obtain the rock mass creep process. And finally, obtaining distribution characteristics of a rock mass displacement field, a damage field and a seepage field and a creep characteristic curve, and realizing near-field dynamic simulation of a rock mass creep-seepage coupling process. According to the method, the technical blank of near-field dynamics in the field is filled, and the long-term stability of the engineering rock mass and the disaster evolution process are accurately reproduced and predicted.
Owner:CHINA HYDROELECTRIC ENGINEERING CONSULTING GROUP CHENGDU RESEARCH HYDROELECTRIC INVESTIGATION DESIGN AND INSTITUTE +1

Earthquake and electromagnetic joint inversion analysis method

The invention discloses an earthquake and electromagnetic joint inversion analysis method, belongs to the technical field of geological exploration, and can solve the problem that accurate judgment on geothermal resources is affected due to the fact that an existing single exploration method is difficult to obtain fine structural information and attribute information of a thermal reservoir. The method comprises the following steps: S1, constructing a multi-attribute geological model of a target area according to geological survey data of the target area, and respectively performing seismic exploration and electromagnetic exploration on the target area according to exploration working parameters of the target area to obtain seismic wave observation data and apparent resistivity observation data; s2, according to the multi-attribute geologic model and the exploration working parameters, seismic wave forward modeling and electromagnetic wave forward modeling are carried out on the target area, and seismic wave forward modeling data and apparent resistivity forward modeling data are obtained; and S3, determining a target geologic model of the target area according to the seismic wave observation data, the seismic wave forward modeling data, the apparent resistivity observation data and the apparent resistivity forward modeling data. The method is used for geothermal resource exploration.
Owner:NORTHWEST ENGINEERING CORPORATION LIMITED

Mine prospecting method, device and equipment based on multi-source remote sensing technology and medium

The invention discloses a prospecting method, device and equipment based on a multi-source remote sensing technology and a medium, and relates to the technical field of remote sensing geological survey, and the prospecting method based on the multi-source remote sensing technology comprises the steps: determining the distribution data of ore indicating factors of a research area through the multi-source remote sensing technology; the ore indicating factors comprise geological data, geophysical data and geochemical element content data of a research area extracted by a multi-source remote sensing technology; carrying out mineral content analysis on the known ore deposits in the research area, and determining the ore grades of the known ore deposits; training a pre-constructed prospecting model by taking the ore grade of the known ore deposit and the ore indicating factor of the known ore deposit as sample data to obtain a trained prospecting model; and inputting the distribution data of the ore-showing factors of the research area into the trained prospecting model so as to predict the mineral content of the research area through the prospecting model, and determining a prospecting potential area in the research area.
Owner:YUNNAN UNIV

Simulation method and system for mechanical parameter prediction of rock mass structural plane of base-covering interface

The invention provides a simulation method and system for mechanical parameter prediction of a rock mass structural plane of a base-covering interface, and relates to the technical field of geological survey, and the simulation method specifically comprises the following steps: collecting environmental parameters and material parameters, and calculating a physical influence index, an environmental adaptability index and a fracture stability index; performing a dynamic load test on the rock mass to obtain dynamic response data of the rock mass, constructing a structural anti-seismic prediction model according to a physical influence index, an environmental adaptability index, a fracture stability index and a dynamic response index, and generating a weight in the model through an analytic hierarchy process, and utilizing the structure anti-seismic prediction model to generate a structure anti-seismic index of the base-covering interface rock mass structure. According to the scheme, the mechanical characteristics of the rock mass can be comprehensively reflected, and the influence of environmental change on the rock mass performance is effectively considered, so that the scientificity of anti-seismic performance prediction is improved.
Owner:SHAOXING UNIVERSITY

Complex geological weak surrounding rock tunnel micro-disturbance green blasting construction method

The invention discloses a complex geological weak surrounding rock tunnel micro-disturbance green blasting construction method which comprises the following steps: acquiring multi-source data through a sensor and geological survey equipment, and extracting a standardized feature set; and constructing a blasting parameter and surrounding rock response prediction model by using a random forest algorithm, inputting explosive load and hole net parameters, and outputting predicted surrounding rock deformation and vibration values. And if the vibration value exceeds the environment-friendly threshold value, adjusting the parameter by adopting a gradient descent algorithm until the requirement is met. And in combination with real-time monitoring data, the surrounding rock response is dynamically updated by using a Kalman filtering algorithm. If the overexcavation probability exceeds the threshold value, the parameters are further optimized through a genetic algorithm. And finally, optimizing resource allocation through a linear programming algorithm, and determining a final blasting scheme. Intelligent regulation and control of blasting parameters of the weak surrounding rock tunnel are achieved, vibration and deformation are effectively controlled, the overexcavation risk is reduced, the construction efficiency and quality are improved, and a new technical scheme is provided for similar projects.
Owner:JIANGXI QINGQIAO IND GROUP CO LTD