51933 results about "Geotechnical engineering" patented technology

The invention provides a pre-control and monitoring method for a whole process of actual grouting engineering based on digital geological model, comprising: extracting discontinuous fracture surfaces in a geologic body structure, to build a underground geologic body structure model; build a multi-source geologic body attribute model, optimizing and solving grouting simulations of a disaster high-risk region by using multiphase flow calculation method, and controlling grouting equipment by using optimized grouting parameters to carry out an actual grouting engineering; obtaining a multi-factor diffusion range of variable coefficients by adjusting physical values of the parameters in the grouting simulation and attribute data structure model by using a control variable method, learning and capturing complex mapping relationship between different parameters by using a neural network, optimizing the grouting parameters in the actual engineering in real-time, so as to realize the pre-controlling, monitoring and optimization of the whole process of the actual grouting engineering.

A soil layer detection drilling device includes a drilling cylinder, and a soil-sampling assembly is provided inside the drilling cylinder. When the soil is drilled, equipment is in a vertical state, a controller is turned on to control a rotary motor to rotate, and the drilling cylinder is driven to drill the soil with the cooperation of drive wheels and a drive belt. Four slide blocks are evenly distributed around an outer circumference of a sliding disk and are matingly connected with slide grooves provided on an inner wall of the drilling cylinder, so when the drilling cylinder rotates, the soil-sampling assembly also rotates. A conical head first in contact with the ground starts to drill the ground, then the drilling cylinder gradually drills into a soil layer, and the drilling cylinder is idled as the drilling cylinder arrives at a certain depth, to clear soil on auger blades.

The invention discloses a grouting diffusion prediction method and system for complex geology multi-attribute constraint, and the prediction method comprises the steps: obtaining the multi-source attribute information of a complex geologic body, and the multi-source attribute information comprises fracture characteristics, pore characteristics and water burst characteristics; the multi-source attribute information is input into the trained grouting diffusion dynamic prediction model, a grouting diffusion prediction result of the complex geologic body is output, and the grouting diffusion result comprises the permeation rate, pressure distribution and boundary conditions. In the training process of the grouting diffusion dynamic prediction model, the deep learning model and the real-time monitoring system are combined, prediction is continuously carried out according to monitoring data in the grouting process, the prediction result is adjusted through a feedback mechanism, the prediction model is optimized, and the precision and reliability of the prediction result are improved.

The invention relates to the technical field of drill rod monitoring, in particular to a residual life prediction method for high-strength drill rod steel corrosion fatigue monitoring, which comprises the following steps: acquiring working data of a drill rod, including stress and corrosion environment data; quantifying the influence of the stress and the corrosion environment on the fatigue life, and establishing a stress-corrosion environment-fatigue life quantitative relationship; constructing an improved damage accumulation model considering corrosion rate and crack propagation to obtain a preliminary drill rod residual life prediction result; fusing real-time monitoring data and historical operation data by using a deep learning algorithm, introducing an attention mechanism to dynamically adjust the weight of the model, and correcting and updating the prediction result of the remaining life of the drill rod; and setting multi-stage safety thresholds, and carrying out graded early warning on the failure time of the drill rod. By means of the method, intelligent management of the whole life cycle of the drill rod can be achieved, and the safety, reliability and economical efficiency of drilling operation are improved.

The invention discloses a geotechnical engineering stability early warning system and method combining side slope deformation monitoring and numerical simulation, and relates to the technical field of geotechnical engineering safety monitoring and disaster early warning. Side slope deformation monitoring and numerical simulation are combined, and multi-source real-time monitoring data of side slope deformation and numerical simulation are fused; constructing a dynamically updated slope deformation evolution analysis system; performing dynamic partition identification on the slope deformation evolution process according to the multi-source real-time monitoring data, and identifying a slope deformation threshold value and abnormal evolution characteristics of rock and soil; and setting an automatic triggering grading early warning signal of a geotechnical engineering early warning index, and completing slope risk dynamic assessment and early warning output of the rock and soil. According to the invention, the automatic triggering of the grading early warning signal is realized, the response speed, the judgment accuracy and the risk assessment scientificity of the geotechnical engineering early warning system are obviously improved, and the intelligent, dynamic and systematic technical support is provided for the safety prevention and control of the side slope.

The invention discloses a freezing and thawing stratum grouting numerical analysis modeling method and system, particularly relates to the technical field of hydraulic engineering numerical simulation, and is used for solving the problem of grouting parameter prediction inaccuracy caused by neglecting the dynamic coupling relationship between the thermodynamic behavior of a phase-change material and a seepage field and a damage field in an existing grouting model. A dynamic correlation system of phase change energy storage performance parameters and seepage field-damage evolution is established, a slurry diffusion path priority channel weight is corrected based on a freeze-thaw interface migration track, a bidirectional iteration equation of a seepage field and a diffusion migration field is coupled, and multi-physical field spatial-temporal scale cooperative solution is realized through a separated iteration algorithm; through multi-dimensional coupling of thermodynamic characteristics of the phase-change material, heterogeneous evolution of seepage paths and damage mechanical response, the prediction precision of the mechanical characteristics of the grouting stone body and the slurry diffusion range under the action of freeze-thaw cycle is remarkably improved, and the leakage and structural instability risks are effectively reduced.

The invention provides a geological exploration drilling device and method for geotechnical engineering design, and relates to the technical field of geological sampling, the geological exploration drilling device comprises a vehicle body, a propelling mechanism, a drill rod and a drill bit, the drill rod comprises a plurality of sampling barrels and locking assemblies arranged between every two adjacent sampling barrels, the drill bit comprises a drill barrel arranged at the bottom of the drill rod, a spacer bush arranged in the drill barrel and a plurality of cutting plates arranged on the side wall of the spacer bush at equal intervals in a sliding mode, the knocking assembly is arranged on the support, and the knocking assembly can strike the exterior of the drill rod in the process that the propelling mechanism drives the drill rod to vertically move. A soil core pressed into the drill rod can be cut off from an external soil layer, the bottom of the drill rod is sealed, it is prevented that in the upward moving process of the drill rod, the soil core slides off to affect soil sample collection, the drill rod can be assembled according to needs so that the soil core can be conveniently divided into multiple small sections, the soil core in the drill rod can be stably taken out, and the working efficiency is improved. The soil core is prevented from being taken out from a relatively long drill rod and fractured and crushed to influence subsequent detection.

The invention discloses an asphalt concrete pavement early crack detection method and system, and the method comprises the steps: S1, obtaining pavement three-dimensional point cloud data to form a texture image, recognizing a gray level change region, and marking the region as a suspected crack region as a first crack degree; s2, segmenting a suspected crack region through a deep learning model Mask R-CNN, determining a crack type, and measuring geometric parameters of the crack as a second crack degree; s3, in combination with historical data and environmental factors, the development trend and the damage degree of the crack are evaluated through a machine learning model to serve as a third crack degree; s4, establishing a crack detection mechanism, and recording and tracking the state change of the early asphalt concrete pavement crack; and S5, setting and comparing crack state evaluation thresholds, and performing early warning when the crack state evaluation thresholds exceed a threshold boundary mechanism. According to the invention, an early crack state tracking and early warning mechanism is realized, and the efficiency and quality of pavement maintenance work are improved.

A technique facilitates use of a swellable packer or packers which may be disposed along completion equipment of a well string. Each packer comprises a packer frame and a plurality of swellable elements formed of materials which swell in different types of fluids. The plurality of swellable elements may comprise a first swellable element mounted on the packer frame and swellable in a first type of fluid. A second swellable element also may be mounted on the packer frame proximate the first swellable element and swellable in a second type of fluid which is different from the first type of fluid. Additionally, a portion of an alternate path system may extend through the swellable elements to facilitate a gravel packing operation.

The invention relates to the technical field of mineral resource reserve simulation, in particular to a geological mineral resource reserve simulation method. The method comprises the following steps: carrying out multi-source heterogeneous data acquisition on a target geological area, and carrying out comprehensive feature extraction to obtain a comprehensive data set; constructing an initial static geologic model according to the comprehensive data set to obtain the initial static geologic model; building a multi-physics field coupling model according to the initial static geologic model to obtain a multi-physics field coupling model grid; performing metallogenic fluid migration and enrichment simulation according to the multi-physics field coupling model grid to obtain a metallogenic fluid migration simulation result; carrying out geologic body geometrical morphology updating on the initial static geologic model according to a metallogenic fluid migration simulation result to obtain a dynamic geologic model; and performing reserve prediction model training according to the dynamic geologic model to obtain a reserve prediction model. According to the method, the mineral resource reserves are evaluated more accurately and dynamically through a mineral resource reserve simulation technology.

The invention relates to the technical field of geological disaster monitoring, and discloses an intelligent early warning method and system for geological disasters in geotechnical engineering, and the system comprises a data collection module, a data processing module, a feature extraction module, an early warning model module, a response execution module and an optimization feedback module. Static geological parameters, dynamic environment parameters and historical disaster data are integrated, a standardized space-time correlation data set is constructed, the limitation of a single data source is broken through, multi-dimensional dynamic response characteristics of a rock-soil body are captured, a reliable data basis is provided for accurate early warning, the rigidity defect of a traditional fixed threshold value is avoided, and the early warning accuracy is improved. The method achieves the self-adaption of the risk early warning sensitivity, reduces the misjudgment and missing judgment caused by environment interference, intercepts a dynamic data stream in real time through a sliding window, calculates the risk mean value and variance, quickly responds to sudden environmental changes such as rainfall sudden change and vibration abnormality, and generates a graded early warning signal.

The invention relates to the technical field of sampling, in particular to a portable sampling device for geological mineral exploration and a sampling method thereof.The portable sampling device comprises a bottom plate, guide frames, a lifting plate and the like, the two guide frames are connected to the top of the bottom plate, and the lifting plate is jointly connected to the two guide frames in a sliding mode. A rock core drill bit can be driven to move downwards through a screw rod motor, the rock core drill bit drills into soil, the soil enters a sampling pipe for sampling, a standby sampling pipe can be driven to move backwards through an electric guide rail, the standby sampling pipe is moved to the position below a mounting pipe, and the sampling pipe is spliced; the sampling pipe can be driven to move forwards through the electric guide rail, the sampling pipe can be disassembled, the sampling pipe can be automatically spliced and disassembled, operation is simpler, the burden of workers can be relieved, and therefore the sampling efficiency can be improved.

The invention discloses a self-adaptive grouting control plugging method based on mining-induced fracture real-time monitoring, and relates to the technical field of mine safety engineering and hydrogeology. Through cooperative work of the grouting mechanism, the data monitoring system, the data collecting and processing module and the self-adaptive control module, automation and intellectualization of grouting protection can be achieved, and through introduction of the fracture roughness coefficient and the time-dependent viscosity, rough fracture flow resistance and grout rheology and time-varying characteristics are quantified, and the grout diffusion radius calculation error is reduced. The data weight is dynamically adjusted through a micro-seismic travel time residual error and sound wave velocity field joint inversion algorithm in combination with a weighted robust LM algorithm, and accurate fracture positioning is achieved. And a PID gain compensation and saturation function mechanism is adopted, so that self-adaptive safe and efficient grouting is realized. The fracture dynamic state is monitored in real time through the multi-source data fusion technology, grouting parameters are dynamically optimized in combination with an intelligent algorithm, complex geological interference is effectively restrained, slurry waste is reduced, and efficient and accurate plugging of mining-induced fractures is achieved.

The invention discloses a tunnel deep-buried drainage ditch rapid blasting excavation method based on vertical drilling, which comprises the following steps: step 1, detecting the geology in front of a tunnel by using vertical drilling coring, geological radar and TSP seismic wave technology, and constructing a three-dimensional model; 2, generating an asymmetric hole net layout based on a geological model and AI, and setting a drilling-free vibration isolation belt; the design of dense inside and sparse outside is adopted, and vibration propagation is blocked; thirdly, a three-stage air spacer is arranged at the bottom of the blast hole, segmented charging is implemented, the explosive energy release time is prolonged, and the single-segment explosive quantity peak value is reduced; fourthly, an electronic detonator is adopted for millisecond detonation, and peak vibration is weakened through the waveform superposition offset effect; 5, arranging fiber grating sensors in the tunnel, collecting data in real time and transmitting the data to the cloud AI platform; dynamically adjusting parameters based on the monitoring data; and 6, evaluating a blasting effect through a three-dimensional laser scanner, generating an evaluation report in combination with data, updating a BIM model database, and continuously optimizing an AI algorithm.

The invention provides a measuring device suitable for wire saw rock cutting drilling positioning and a control method, and relates to the field of rock cutting construction. The plane position of a drilling machine and three-dimensional space attitude data of a drilling rod are obtained in real time through a GNSS receiver module arranged on drilling machine equipment, and the angle and the position of the drilling rod are accurately controlled through real-time monitoring of a multi-sensor module; the data processing module verifies and analyzes the received data, transmits an analysis result to the deviation judgment module and calculates the deviation value of the data, meanwhile, the HMI control module facilitates an operator to monitor the equipment state in real time, and when the deviation judgment module confirms that the deviation of all the data is within a preset threshold value, the HMI control module sends the data to the data processing module. The HMI module indicates the drilling machine to start drilling operation; the method is suitable for various rock cutting and drilling tasks, particularly in the environment needing high-precision positioning and drilling control, the accuracy and reliability of data are improved, and therefore the drilling precision and stability are improved.

The invention provides a tunnel surrounding rock deformation monitoring system and method based on visual identification, and relates to the technical field of tunnel surrounding rock deformation monitoring. According to the method, firstly, point cloud data are analyzed to extract crack features, and image data at historical moments are used as input to construct a visual prediction model based on a convolutional neural network, so that the deformation at the current moment is obtained. Then, the deformation amount, the temperature and the strain data at the current moment are combined to generate a deformation index used for reflecting the abnormal deformation degree. By comparing the deformation index with the preset deformation threshold value, the system can judge whether abnormal deformation exists in the monitoring area or not in time. If the deformation index is lower than a threshold value, marking as normal; and if the threshold value is exceeded, marking as abnormity and sending out early warning. The system provides an efficient and real-time tunnel surrounding rock deformation monitoring solution.

The invention discloses a deep covering layer panel rock-fill dam rheological numerical calculation method considering the seepage effect. The method comprises the steps that firstly, contact deformation between a panel and a dam body is simulated; then simulating the unstable seepage process of the rock-fill dam and the foundation, and solving the seepage problem with a free surface; carrying out seepage-stress coupling calculation on the dam body material, and establishing a seepage-stress coupling control equation of the dam body material; carrying out seepage-stress coupling calculation on the overburden foundation, establishing a seepage-stress coupling control equation of the foundation, and finally obtaining a relationship among stress, strain and pore pressure to realize the seepage-stress coupling calculation; numerical simulation is conducted, and a concrete faced rockfill dam rheological numerical simulation result considering the seepage effect is obtained. The problems that in the prior art, the stress deformation rule of the concrete faced rockfill dam under the seepage-rheology coupling effect is not clear yet, and meanwhile, a seepage-rheology coupling calculation method is not perfect enough are solved.

The invention relates to the technical field of coast engineering, in particular to a beach change evolution inversion method combining numerical simulation and actually measured data, which comprises the following steps: S1, acquiring an actually measured shoreline data set of a current period; s2, establishing a wave-tidal current-sediment coupling numerical model; s3, outputting a simulated shoreline data set; s4, performing spatial matching on the actually measured shoreline data set and the simulated shoreline data set to generate a spatial discrete residual field; s5, taking the spatial discrete residual field as a constraint condition, and reversely solving an optimal hydrodynamic parameter combination; and S6, inputting the optimal hydrodynamic parameter combination into the wave-tide-sediment coupling numerical model, and outputting the beach evolution form in the future period. According to the method, dynamic coupling of the hydrodynamic parameters and the beach evolution process is realized by constructing an inversion optimization mechanism based on actual measurement data driving, and the accuracy of shoreline change simulation and the reliability of prediction are greatly improved.

A porous media grouting test system and method taking temperature effects into consideration. The system comprises a porous media formation simulation model (1), a grouting system (2), a water level adjustment system, a formation temperature control system and a data analysis system, wherein the porous media formation simulation model (1) is used for simulating a porous media formation; the water level adjustment system and the formation temperature control system are used for simulating the conditions of different water saturation levels and different water temperatures and ground temperatures; and the data analysis system is used for comparing different time-series data collected by sensors such as a temperature sensor and a pressure sensor with data such as temperature data and pressure data that is obtained by means of coupled solving of a heat transfer equation and a momentum equation, so as to verify and analyze a grouting diffusion path. Free simulation of different water saturation levels is realized by means of a water level adjustment system, and simulation of different ground temperatures is realized by means of a formation temperature control system, thereby realizing the research on grouting diffusion under different water levels and different water temperatures and ground temperatures.

The invention relates to the technical field of slope disaster prevention and control, in particular to a slope disaster prevention and control management method and system for a hard mountainous area. The method comprises the following steps: acquiring a holographic feature map of a mountain slope; performing stress field analysis on the mountainous area slope based on the mountainous area slope holographic feature map to obtain a mountainous area slope stress field; performing freeze-thaw sensitive area identification on the mountainous area slope based on the mountainous area slope stress field to obtain a slope freeze-thaw risk distribution map; according to the slope freezing and thawing risk distribution map, microenvironment simulation regulation and control are conducted on the mountain slope, and a slope microenvironment regulation and control scheme is obtained; carrying out biological material adaptability analysis on the mountainous area slope to obtain a slope ecological matrix distribution diagram; and according to the slope ecological matrix distribution diagram, laying anchoring points on the mountainous area slope to obtain a mountainous area slope anchoring network. According to the invention, the prevention accuracy of freeze-thaw disasters is improved.

The invention relates to the technical field of geotechnical engineering digitization, in particular to a BIM (Building Information Modeling)-based three-dimensional geotechnical engineering investigation information model construction method. The construction method comprises the following steps: acquiring multidimensional geotechnical engineering investigation data, acquiring geotechnical engineering investigation data from multiple sources in real time, including geological drilling position coordinates, soil sample attributes, underground water level dynamic values and geological structure maps, and executing data synchronization operation in the acquisition process to ensure timestamp consistency. According to the method, the technical bottleneck of static physical process in traditional modeling is fundamentally broken through the synergistic effect of a multi-physics field coupled rock and soil information generation mechanism and the dynamic response architecture of the BIM framework.

The invention relates to the field of durability evaluation and life prediction of reinforced concrete structures, in particular to a reinforced concrete life prediction system and method based on material degradation simulation, and the system comprises an erosion leading edge tracking module which employs a three-dimensional convolutional neural network fused with topology invariance to extract chloride ion distribution image features, generating steel bar corrosion front three-dimensional coordinates and depth information; the transfer learning parameter inversion module is used for inputting the steel bar corrosion front three-dimensional coordinates into a finite element simulation platform, executing parameter inversion calculation and generating a corrosion rate evolution curve; the corrosion rate prediction module is used for generating a corrosion rate prediction curve by using a long-short-term memory network; and the online correction module is used for collecting temperature and humidity information in the concrete structure, calculating the influence weight of environmental factors on the corrosion rate, correcting a corrosion rate prediction curve, updating long-term and short-term memory network parameters, identifying and tracking the steel bar corrosion leading edge in a high-precision manner, and accurately capturing a complex three-dimensional corrosion form.

The invention relates to the technical field of stress detection, in particular to an absolute stress detection method and system for a concrete bridge, and the method comprises the following steps: obtaining stress data of a bridge girder, a support, a box girder and a main tower, collecting wind speed and wind direction sensor data, calculating a wind load gradient value, and extracting wind load primary and secondary influence regions and a transmission buffer region. And generating a wind load area stress data set. According to the method, through environmental factors and stress data, the influence of wind load on structure stress is identified, data comprehensiveness is ensured, through wind load gradient change rate calculation and stress sudden change area extraction, the structure weak point identification capability is improved, the stress fluctuation trend is quantified through time sequence analysis, and the cumulative change rate is deduced, so that fatigue damage prediction is more accurate; abnormal point identification is combined with deviation ratio analysis, measurement data is corrected, analysis reliability is improved, fatigue damage information is extracted based on stress attenuation features, local fatigue evaluation is optimized, a damaged area is accurately locked, and the accuracy of structural health monitoring is improved.

The invention provides a BIM (Building Information Modeling)-based rail transit construction geological exploration profile generation method, which belongs to the technical field of exploration measurement and comprises the step of comprehensively improving the accuracy of rail transit construction geological exploration through an advanced data acquisition and intelligent analysis method. In a construction site, multi-dimensional data of geological drilling, geological radar, geophysical prospecting testing and the like are acquired through various precise instruments, and a three-dimensional coordinate system is firstly established; and deep feature extraction is performed on complex data by using a deep learning algorithm, and key information such as geological stratification, rock and soil parameters and underground water level is accurately obtained. Intelligent fusion of multi-source data is realized by constructing a geological stratification model, a rock and soil parameter model and an underground water level model, and a comprehensive geological information model is generated. And importing the extracted geological profile data into a BIM platform, and carrying out strict precision verification and optimization by adopting a professional geological information collaborative equation set to finally form a highly accurate and reliable rail transit construction geological exploration profile.

The invention relates to the technical field of geothermal drilling monitoring management, in particular to a construction monitoring system and method for geothermal drilling. The method comprises the following steps: constructing a state variable set, quantifying structural disturbance intensity by adopting a disturbance derivative method, normalizing the structural disturbance intensity, and defining a state transition tensor mapping behavior influence coefficient; in combination with the high-order derivative of the disturbance trend function and the behavior collaborative change matrix, an offset risk factor is generated through fusion for early warning; dividing a well drilling area into three-dimensional grids, calculating local stress potential energy, adjusting weight through a dynamic sensitive belt, and generating a risk distribution diagram through smooth filtering; performing closed-loop dynamic regulation and control by using risk potential energy centroid coordinates and gradient field inversion intervention vectors for medium and high risk areas; and through multi-period risk potential energy tensor analysis, calculating the matching degree of a self-healing index and a stable cone region, evaluating the self-healing capability of the system and feeding back a regulation and control strategy. According to the invention, a closed-loop monitoring and active control system for nonlinear risks of geothermal drilling is formed.

The invention provides a three-dimensional digital core reconstruction method capable of reflecting real shale pore structure characteristics and meeting pore scale numerical simulation connectivity requirements, which comprises the following steps of: firstly, acquiring a pore structure image according to a scanning electron microscope and a micro-nano CT (Computed Tomography); constructing a shale matrix digital core which is consistent with the porosity, permeability and pore size distribution of a real rock sample by adopting a method of combining a numerical value construction method and a physical experiment method; then establishing a digital core of the shale containing the micro-cracks according to the obtained spatial distribution characteristics of the micro-cracks; a matrix digital core and typical micro-crack distribution are combined to obtain a hole-crack structure digital core for pore scale simulation research. The method is reliable in principle, low in cost and accurate in reconstruction result, and solves the technical problems that a digital core obtained by adopting the prior art is poor in connectivity and cannot reflect typical pore characteristics of shale; the method can be used for researching reconstruction of different types of cores and seepage simulation established on a pore scale, and has a good application prospect.

The invention relates to the technical field of geological exploration, in particular to a geological exploration safety monitoring and early warning method and system, and the method comprises the following steps: carrying out the exploration region division based on a geological exploration data set, carrying out the risk assessment and density assignment of geological units in combination with the risk degree, and generating a geological risk density map. According to the method, through geological risk assessment and density assignment, exploration area division and risk assessment, and in combination with risk level judgment of geological units, safety monitoring and early warning in the geological exploration process are more refined and scientific, and by means of stress analysis simulation and terrain sensitivity analysis, the safety of the geological exploration process is improved. According to the geological disaster early warning method, the stress response of the geological unit under natural and artificial loads is revealed, the capability of identifying risk points and sensitive areas in an exploration area is improved, early warning is carried out on geological disasters in the early stage, the real-time performance and pertinence of geological disaster early warning are optimized, and losses caused by the geological disasters are reduced.

A piled granular material management robot comprises an auger-based drive system, a memory, a moisture sensor, and a processor coupled with the memory and with the moisture sensor. The processor is configured to control movement of the robot via augers of the auger-based drive system. The processor is also configured to direct a traversal, by the robot, of a portion of a surface of piled granular material in a bulk store. The processor is also configured to capture, via the moisture sensor, a moisture measurement of the portion of the piled granular material during the traversal of the portion of the piled granular material by the robot.

The invention belongs to the technical field of mine safety monitoring and geotechnical engineering stability evaluation, and relates to a mine filling body performance detection and stability evaluation method and system.The method comprises the steps that S1, a first type of monitoring signals are collected in real time through a distributed optical fiber sensor array, and meanwhile vibration waveform signals serve as second type of monitoring signals; s2, inputting the first type of monitoring signals and the second type of monitoring signals into a multi-source data fusion model, and generating fusion state signals representing the three-dimensional damage degree and the real-time deformation state of the filling body; s3, inputting the fusion state signal into a parameter dynamic identification module to generate an updated numerical model parameter signal; and S4, based on the updated numerical model parameter signal, executing stability quantitative calculation to generate a risk level signal. According to the mine filling body performance detection and stability evaluation method and system, the problem of inaccurate psychological state recognition such as large individual difference, strong environmental interference and weak dynamic adaptability can be solved.

The invention relates to the technical field of risk analysis, in particular to a safety engineering comprehensive management system which comprises a geological parameter dynamic monitoring module, a risk threshold early warning module, a stability weight evaluation module and a risk comprehensive management and control module. According to the method, lithology data are extracted through a drilling profile to calculate the layer thickness sudden change rate and the strength attenuation rate, a lithology abnormal area is positioned through a variable coefficient method, lithology sudden change marks are analyzed through spatial clustering, a dynamic trend is captured through sliding window mean value comparison, and gradient amplitude and slope direction dispersion are calculated through a digital elevation model. Fusing the abnormal point density to generate a terrain instability index; establishing a multi-dimensional quantitative evaluation framework; carrying out fuzzy comprehensive evaluation and cross validation on the instability index and an engineering parameter trend; generating a dynamic priority sequence, carrying out stake number interval matching to construct a risk measure table, carrying out analytic hierarchy process dynamic resource allocation support drainage scheme, and carrying out real-time monitoring and prediction closed-loop iteration. And adaptively adjusting the control strategy.