209 results about "Subsidence" patented technology

The invention provides a mine water disaster monitoring and early warning method and system based on multi-source heterogeneous data fusion, and the method comprises the steps: collecting multi-source data of a mining area, carrying out the time-space alignment of the multi-source data, and generating a data set, the multi-source data comprising remote sensing data; preprocessing the data, inputting the preprocessed data into a multi-modal fusion network, and extracting surface water body distribution, lithologic permeability, underground water level and structural fracture characteristics to obtain a three-dimensional hydrogeological static model; the hydrological numerical model based on physical driving is coupled with the static model, and the dynamic model is used for simulating the dynamic change of an underground water flow field and a pollutant diffusion path; based on the dynamic model updated in real time, multi-target collaborative evaluation is carried out to evaluate the mining area water resource, ecological and social collaborative effect; and calling an unmanned aerial vehicle to inspect a leakage position or a settlement position in the hydrogeological risk map based on a multi-target collaborative evaluation result. According to the method, the prediction accuracy is improved through the multi-source data.

The invention relates to the technical field of geological exploration, and discloses a water-rich sandy stratum tunnel base settlement prediction method and system, and the method comprises the steps: constructing a multi-source cooperative exploration system; deploying a sanding-seepage-stress coupling model at an edge computing node, and mining the relevance of data of different dimensions through a space-time attention fusion network; based on the prediction matrix and mineral exploitation working condition parameters; when the predicted settlement exceeds a safety threshold value or the sanding expansion rate is abnormal, a high-precision remeasurement mechanism is triggered, and a cross-hole radar and acoustic logging combined verification module is activated; and iteratively optimizing coupling model parameters by adopting a transfer learning algorithm through deviation analysis of measured data and a prediction result. According to the method, a scientific basis is provided for stratum stability evaluation and prevention and control measure formulation in the mineral exploitation process, and the probability of engineering risks caused by base settlement of the water-rich sandy stratum is effectively reduced.

The invention belongs to the technical field of underground engineering intelligent construction, and particularly discloses a shield tunneling performance prediction method and system based on an interpretable BO-LGBM model, and the method comprises the steps: receiving detection data in a shield tunneling process, and determining tunneling parameters, geological parameters and karst parameters based on the detection data, so as to construct an input feature set; constructing an LGBM model, performing multi-stage screening on the input feature set to obtain a comprehensive feature importance sequence, and determining key target features corresponding to model prediction influence according to the comprehensive feature importance sequence; on the basis of key target features, a Bayesian optimization algorithm is used to optimize hyper-parameters of the LGBM model, and a trained BO-LGBM prediction model is obtained; the BO-LGBM prediction model is used for predicting ground surface settlement, tunneling efficiency, specific energy and overexcavation rate of the detection data; and obtaining a performance index based on the trained prediction model so as to evaluate model performance and prediction precision. According to the invention, the model prediction accuracy of the shield performance can be improved.

The invention relates to a geological disaster change detection method and system based on an improved twin U-Net and a central surrounding double-flow network. According to the method, an improved twin U-Net network is constructed as a feature extraction trunk, and a deformable convolution module is integrated in an encoder to adaptively adjust a receptive field; a central surrounding double-flow network is embedded in a decoding path, detail features are extracted through a central flow path, and a global context is obtained through a surrounding flow path; a feature fusion module is designed to realize double-path feature deep fusion, and a gating attention unit is adopted to calibrate feature response; introducing a contrast feature learning mechanism to reinforce feature space clustering characteristics; multi-modal degradation enhancement training is implemented to improve the robustness of the model; and an objective function containing difference perception loss and feature comparison loss is minimized through end-to-end joint optimization. The method can accurately identify geological disaster change areas such as landslide, debris flow and land subsidence, and has the advantages of high detection precision and strong anti-interference capability.

The invention relates to the field of geological exploration, in particular to an intelligent analysis method and system for geological exploration data of a coal mining subsidence area. The invention discloses an intelligent analysis system for geological exploration data of a coal mining subsidence area. The intelligent analysis system comprises a data acquisition module, an underground three-dimensional model construction module, a foundation stability evaluation module, a residual deformation prediction module and a suitability judgment module. According to the method, multi-source data such as drilling data, geophysical prospecting data, remote sensing topographic data, monitoring actual measurement data and geotechnical test data are comprehensively analyzed, a unified underground three-dimensional model is constructed, and the limitation of data isolation of a traditional exploration method is broken through; according to the method, through drilling and geophysical prospecting bidirectional complementary correction and combination of a settlement monitoring sequence and static attributes, a more accurate and comprehensive geological exploration result is provided for a coal mining subsidence area, and the accuracy of foundation stability evaluation and deformation prediction is remarkably improved.

The invention relates to the technical field of a seabed substrate advanced detection device and method for a seabed mining vehicle, and provides a seabed substrate advanced detection device and method for a seabed mining vehicle, which can simultaneously obtain submarine topography and landform and detect multiple parameters of a seabed substrate. The deep sea detection system is matched with a mine car to ensure smooth proceeding of a rear mine car in deep sea bottom detection, and comprises a sea surface data processing system and a frame with the cross section in a structure shaped like a Chinese character'tian ', a master control device, a signal receiver and at least four detection modules arranged in a matrix are arranged on the frame, and the master control device is used for controlling the detection modules. The signal receiver is used for transmitting information of the detection module and the sea surface receiving device; the detection module comprises a side-scan sonar module used for rapidly obtaining the topography and landform in front, a transverse push toothed plate used for cutting into a soil body, a turbidity meter module used for measuring the concentration of suspended particles and dissolved matters in the seabed, and a pressing plate module used for obtaining the bearing capacity and the subsidence index of the seabed sediment.

The invention discloses a key layer presplitting settlement control method based on overlying strata fracture angle arrangement. The method comprises the steps that geological mining parameters of a target mine are collected and determined; based on the physical and mechanical parameters of each rock stratum, determining the horizon height of the key stratum in combination with a thick and hard rock stratum judgment criterion; according to coal seam mining parameters and overlying strata lithology, the height of a water flowing fractured zone is judged, and high and low horizon classification is conducted on the water flowing fractured zone by combining the horizon of the key horizon; according to the development law of overlying strata damage along the fracture angle from bottom to top, the presplitting position in the horizontal direction of each layer key layer in the presplitting range is calculated and determined, and full-section directional presplitting cutting is carried out; based on thick and hard rock stratum mining-induced stress distribution characteristics and a damage deformation transmission mechanism, a working face moving boundary and a reduction distance of a building (structure) protection coal pillar after key stratum presplitting are calculated and determined. According to the method, presplitting implementation is guided based on the key layer fracture rule, and a new technical approach is provided for subsidence control of the mining area.

The invention belongs to the field of coal mine underground goaf filling methods, and particularly relates to an ultra-long working face goaf inclined strip filling method. According to the method, a plurality of working faces are taken as a group, and fracturing roadways are arranged outside all the working faces. An inclined fracturing roof cutting area is constructed in the basic roof through the fracturing roadway, and the fracturing roof cutting area is constructed into a caving rock mass with fracturing broken waste rock on the two sides, a roof cutting block in the middle and the two inclined sides adjacent to a complete rock stratum. Then, the top cutting block bodies are used as a grouting diffusion face to conduct grouting on the fracturing broken waste rocks around the top cutting block bodies, and a plurality of inclined supporting strips which have high supporting capacity and are formed by mixing the broken waste rocks, the top cutting block bodies and slurry are formed; and the subsidence of the overlying sandstone group is controlled, and rock burst is prevented. Afterwards, the remaining fracturing drill holes, the remaining top cutting drill holes and the remaining grouting drill holes are used for conducting goaf filling on the follow-up working face in sequence, and therefore the problem that the construction work amount of long drill holes of the ultra-long working face is large is solved.

The invention relates to the technical field of topographic survey, in particular to an InSAR earth surface deformation information detection method and system based on an unmanned aerial vehicle, and the method comprises the following steps: S1, collecting point cloud data of a mining area through a laser radar system carried by the unmanned aerial vehicle, constructing a continuous topographic curved surface, calculating a topographic gradient vector based on the curved surface, and extracting a topographic main gradient direction angle; and S2, based on the terrain gradient vector, the rock mass integrity coefficient of the mining area and the mining direction angle, constructing a physical constraint field for quantifying the terrain sudden change risk and the mining and terrain interaction effect. According to the method, a physical field capable of quantifying fault risks and types is generated by fusing unmanned aerial vehicle laser radar topographic data, a rock mass integrity coefficient and a manual mining direction; according to the method, geological information is changed into beforehand constraint from post-event interpretation, an accurate physical basis is provided for subsequent phase processing, and the situation that the deformation direction is misjudged, for example, settlement is misjudged as uplift, is prevented.

The invention, which relates to the technical field of mine geology and urban safety, discloses a refined collaborative prediction method and system for subsidence of a global goaf, comprising the steps of establishing a hierarchical storage system, and correcting a working face calculation boundary; extracting the maximum influence radius of all the working faces and four-dimensional coordinates of the mining boundary of each working face, and calculating to obtain a global prediction range to generate a global surface prediction grid; point set insertion and Delaunay triangulation are adopted to obtain an effective triangular unit, a local influence domain range of the effective triangular unit is calculated, and an influenced sub-grid is screened from the global surface prediction grid; and calculating a predicted point movement deformation value based on a parallel computing architecture, accumulating the predicted point movement deformation value to a global result array through a coordinate index mechanism, synthesizing a deformation component in a specific direction, generating a visual result, and performing statistical analysis. According to the method, the problems of poor adaptability and low efficiency of a traditional scheme are effectively solved, and the prediction precision and efficiency are remarkably improved.

The invention discloses a goaf surface subsidence prediction method and system based on grouting-rock stratum coupling, and belongs to the technical field of coal mining surface subsidence prevention and control. According to the method, a basic parameter system containing geology, grouting and mining parameters is constructed, a grouting subsidence reduction influence factor model is established, a grouting influence factor beta is defined, a subsidence coefficient is corrected, then a collaborative prediction model is constructed, the subsidence dynamic influence radius is calculated, and a surface subsidence function is represented; according to the method, grouting parameters are quantified and introduced into the subsidence prediction model, the problems that a traditional model is poor in adaptability and low in prediction precision under the grouting condition are solved, and the accuracy of surface subsidence prediction and the engineering guidance value are remarkably improved.

The invention discloses a mining area surface environment monitoring method, aiming at the current situation of surface ecological environment damage and prevention of a plain mining area, and researching a mining area dynamic change monitoring benchmark; for surface movement and deformation caused by mining area disturbance, a D-InSAR technology is applied to perform surface subsidence monitoring on a deformation block. According to the invention, technical means such as InSAR, GPS, remote sensing satellite images and the like are comprehensively utilized to obtain multi-source data of the mining area surface environment, key technologies of integration and application of the multi-source monitoring data are researched, a mining area surface environment multi-source monitoring technical system is established, and on the basis of multi-source high-resolution remote sensing data, technical means such as image processing, mode recognition and the like are adopted, so that the mining area surface environment multi-source monitoring system is established. Land utilization changes and ecological influence conditions are studied, InSAR and GNSS technologies are applied to perform high-precision monitoring analysis research, the overall monitoring capability, reliability and precision are improved, the technical defects of single technologies for mining area geological environment monitoring are overcome, and the mining area geological environment monitoring system has wide popularization and application prospects.

The invention discloses a land subsidence area permeable channel identification and cause analysis method based on a high-density electrical method, which overcomes the limitation of traditional single profile data interpretation by arranging a three-dimensional observation grid and fusing and collecting multi-source data. Through combination of finite element three-dimensional inversion and the improved convolutional neural network model, accurate description of the three-dimensional spatial morphology, the extension direction and the connectivity of the permeable channel is realized, and the accuracy and the spatial resolution of low-resistance abnormal region identification are improved. Compared with the prior art, the method has remarkable advantages in the aspects of permeable channel recognition accuracy, cause analysis comprehensiveness, result application practicability and the like, and effective support can be provided for long-acting prevention and control work of geological disasters in land subsidence areas.

The invention provides a method for determining the spontaneous combustion evolution process of end slope coal of a strip mine, and belongs to the field of geotechnical engineering geological disaster prevention and control and the field of mine safety and environmental protection. Updating the porosity, the permeability and the range of the combustion space area in the pre-established three-dimensional geologic model by adopting the three-dimensional distribution of the porosity of the bending subsidence zone, the permeability of the fissure zone, the permeability of the caving zone and the porosity of the caving zone in the combustion space area; performing coal fire evolution simulation again according to the updated pre-established three-dimensional geologic model to obtain a coal fire development range, an updated real-time temperature field range and a gas concentration field; and if the combustion cannot be continued, outputting a final coal fire development range and an updated real-time temperature field range. According to the method, the efficiency and accuracy of open-pit mine end slope coal fire treatment are effectively improved.

The invention discloses a mining roadway roof deformation monitoring method and system based on a sensor, and relates to the technical field of deformation monitoring, and the method comprises the steps: obtaining three-dimensional point cloud data containing rock mass structure features; separating the rock mass bulge area from the roof main body area; a reference plane is arranged below a roof body area, relative spatial position parameters of the reference plane and a roof body are obtained in real time through a TOF sensor, and a roof three-dimensional model is constructed; mapping the top plate three-dimensional model into a reference plane coordinate system; curvature parameters of all nodes of the roof three-dimensional model are calculated through differential geometric analysis, and a curved surface gradient tensor field is constructed; and based on the curved surface gradient tensor field, obtaining a maximum sinkage, a regional deformation gradient value and an overall deformation distribution parameter, and generating a roof stability evaluation report. The method has the advantages that a more comprehensive, accurate and reliable roof stability evaluation report is provided, and a more accurate safety early warning basis is provided for the mining industry.

The invention provides a roof-based subsidence monitoring method for a middle-deep underground mining mine, which comprises the following steps: S1, a deep anchor type anchoring datum point is arranged in a stable rock mass, far away from a mining disturbance area, of a mine roadway or a goaf, and the depth of the deep anchor type anchoring datum point needs to penetrate through a fissure zone and go deep into an original rock stress area; s2, a displacement sensor is installed at the key part of the top plate of the area to be monitored, and the displacement sensor is configured to take the deep anchor type anchoring datum point as a physical zero point; s3, acquiring a distance change original signal of the roof relative to the deep anchor type anchoring datum point through a displacement sensor, and directly acquiring roof subsidence data; and S4, performing signal noise reduction, anomaly detection, nonlinear feature analysis and parameter inversion on the roof subsidence data by using a computer system, and triggering an early warning mechanism when the roof is judged to be in an unstable state or a subsidence parameter exceeds a critical threshold. And an unstable bottom plate is fundamentally abandoned as a measurement basis, and the authenticity and the accuracy of the subsidence data of the top plate are ensured.

According to the method and system for monitoring stratum settlement in the geothermal exploitation and recharge process under multiple scales, obtained macroscopic monitoring data, mesoscopic monitoring data and microscopic monitoring data synchronously cover six types of core parameters including displacement, temperature, strain, pressure, microseismic and chemical concentration, and complete data support is provided for subsequent multi-field coupling calculation; compared with traditional single physical quantity monitoring, coupling result deviation caused by incomplete data is greatly reduced; the macroscopic monitoring data, the mesoscopic monitoring data and the microscopic monitoring data are mapped to different grid layers of a unified grid system, so that the problem that high-resolution microscopic data and low-resolution macroscopic data are difficult to cooperate is solved, and fused data better fits the actual geological law; parameters of the heat-fluid-solid-chemical coupling model are dynamically corrected through Kalman filtering, it is ensured that the parameters of the heat-fluid-solid-chemical coupling model are adjusted in real time along with dynamic changes of the stratum, and the accuracy of settlement prediction is improved.

The invention relates to the technical field of data processing, in particular to a geological disaster intelligent monitoring method and system. The method comprises the following steps: acquiring settlement data of a geological disaster monitoring area, and pore water pressure data and high-frequency vibration data which are synchronous with the settlement data; for each settlement data point in the settlement data, determining a water-soil coupling factor of each settlement data point; determining the data credibility of each settlement data point; obtaining a plurality of groups of optimized coarse graining sequences; and on the basis of the optimized coarse graining sequence, a multi-scale entropy algorithm is used to realize premonition identification of geological disasters. According to the method, a credibility mechanism is established by evaluating the water-soil coupling factor and combining the high-frequency vibration data, and weighted coarse graining is performed on the settlement data, so that noise interference is inhibited, and the accuracy and reliability of geological disaster precursor identification are improved.

The invention belongs to the field of rock burst prevention and control coal mining methods, and particularly relates to a roof-cutting pressure-relief coal mining method under the stratum condition of a deeply-buried sandstone group. Comprising the following steps: respectively constructing detection drill holes inside and outside a first mining working face, and checking an interface in a stratum in a hydraulic pressure test mode so as to accurately determine a key layer. On the basis, on the basis of gob-side entry retaining, roof cutting drill holes are creatively constructed in a roof cutting special roadway and a transportation roadway correspondingly, so that roof cutting work is conducted on key layers in a bent sinking zone rock stratum, a water flowing fissure zone and a caving zone rock stratum in a roof; therefore, the suspended roof length of a part of the water flowing fractured zone rock stratum and the caving zone rock stratum is reduced but still reserved, the supporting force needing to be borne by the gob-side entry retaining is reduced, and a sheltering space is provided for the gob-side entry retaining. The bent sinking zone rock stratum is subjected to vertical drilling top cutting, and a top cutting transition area is reserved, so that superposition of fracture of the bent sinking zone rock stratum and fracture of the water flowing fissure zone rock stratum can be reduced, and the stratum pressure needing to be borne by gob-side entry retaining is reduced to the maximum extent.

The invention belongs to the technical field of coal mining, and particularly relates to a key parameter design method for targeted grouting and filling pier stud water-preserved coal mining. The method comprises the steps that mine hydrogeology and mining geology data are collected, and the burial depth, the thickness, the physical and mechanical parameters and the gangue breaking and expanding coefficient of a coal rock layer are obtained; adopting discrete element numerical simulation to determine the caving zone height under the insufficient mining critical propulsion length; the drilling depth of the grouting drill hole and the caving zone void ratio are calculated; preparing and testing the mechanical strength and diffusion stacking angle of the grouting material in a laboratory; combining the critical coefficient of insufficient mining, applying a rock stratum subsidence probability integral method, and scientifically designing the interval, the radius and the grouting amount of filling pier columns; and finally, cement pier columns are formed in a caving zone through ground drilling and grouting, an overlying rock stratum is stably supported, and structural deformation of the aquifer is controlled. The method is simple in parameter design and high in accuracy, and space-time interference of a traditional filling process is avoided.

The invention discloses a method for monitoring the relative gravity of surface subsidence in a coal mining process, and the method comprises the steps: arranging a quantum gravity base station at the periphery of a subsidence area, deploying a relative gravimeter in a basin according to a grid, arranging a fiber grating gravity sensing chain in an underground crossheading, and carrying a cold atom gravity gradiometer by adopting an unmanned plane for periodic scanning. A gravitational field-mass migration model is established based on real-time data, coal mining volume, rock stratum density change and earth surface gravity anomaly are associated, geological background interference is eliminated through wavelet multi-scale decomposition, and a gravity change value is optimized through hydrological correction in combination with water level and porosity. And when the corrected gravity change exceeds a threshold value, calculating a rock stratum fracture azimuth angle by using a gravity gradient tensor, inverting an equivalent mining thickness based on the gravity change, dynamically predicting a surface subsidence form in combination with a subsidence basin model, constructing a state vector in combination with gravity, gradient and deformation data, and realizing multi-source fusion prediction through a filtering algorithm.

The present application relates to the field of mining area subsidence reduction and filling mining, in particular to a floor isolation grouting filling control surface subsidence mining method; a certain thickness of rock stratum is selected as a floor pressure bearing protective layer below a floor failure zone, the floor pressure bearing protective layer arches under grouting pressure, but no fissure leading to the upper floor failure zone is generated; the floor pressure bearing protective layer bottom interface is taken as a grouting layer, a grouting borehole is connected to the grouting layer; working face mining is carried out, when grouting filling can be carried out, filling slurry is injected from the grouting borehole to the grouting layer. The filling slurry lifts the floor grouting pressure bearing layer and the floor failure zone under high pressure, finally fills the entire goaf, reduces the breaking degree of the coal seam roof, controls the subsidence amplitude of the overlying strata, and further reduces the surface subsidence amplitude. In the present application, the mining and grouting filling processes are separated, the influence of grouting filling operation on working face mining is avoided, and the present application is particularly suitable for coal mine areas with dense buildings.

The invention discloses a water-preserved coal mining method for water-proof soil layer reconstruction, which comprises the following steps: before coal mining, measuring the water level difference of an upper water-containing layer and a lower water-containing layer of a water-proof soil layer and the average natural permeability coefficient of the water-proof soil layer, and sealing a measured drill hole after measurement; directional drilling is carried out on the underlying stratum of the water-proof soil layer bottom plate, directional drilling holes penetrate through the coal mining subsidence area, and the horizontal sections of the directional drilling holes are located at the positions downwards away from the water-proof soil layer bottom plate; freezing in the implemented directional drill by adopting a freezing technology; vertical drilling is carried out on the ground; mixed liquid of loess and water is injected into all the vertical drill holes; the electric field set seepage field is connected through a vertical drill hole to pull the loess; after at least 10 days, performing a conventional water injection experiment on all the vertical drill holes every day, and determining the average permeability coefficient of the reconstructed waterproof soil layer; and after the standard is reached, freezing is stopped, and all the drilled holes are sealed. The method is economical, reasonable, easy to construct, free of pollution and short in effective period.

The invention discloses a mining area surface subsidence disaster early warning device in the technical field of mining area subsidence early warning. The mining area surface subsidence disaster early warning device comprises a supporting shell, a monitoring control module is arranged in the supporting shell, an alarm is fixedly connected to the top of the supporting shell, and electric energy conversion assemblies used for converting solar energy into electric energy are installed on the outer surface of the supporting shell in an annular array mode; an inflation cavity, a moving cavity and a swing cavity are formed in the supporting shell from top to bottom, a moving rod is arranged in the supporting shell, the top end and the bottom end of the moving rod are located in the inflation cavity and the moving cavity respectively, a first connecting rod is spherically hinged to the bottom end of the moving rod, a swing ball is fixedly connected to the bottom end of the first connecting rod, and an elastic piece is arranged in the inflation cavity; a plurality of blowing assemblies are arranged in the inflation cavity, and a plurality of cleaning assemblies are arranged in the moving cavity. According to the invention, dust cleaning is carried out on the conversion assembly for supplying energy to the early warning device through vibration energy during production operation in a mining area, so that the stability of long-time energy supply is ensured.

The application discloses a kind of considering wind sand additional effect's coal mining subsidence area boundary prediction method and system, belong to subsidence area boundary prediction field.The prediction method includes: obtaining the synthetic aperture radar image of coal mining area;According to synthetic aperture radar image, the first coal mining subsidence area boundary caused by monitoring coal mining;According to the mapping model of preposition and the wind speed and sand particle size of coal mining area, the wind sand movement boundary caused by wind sand migration is calculated, wherein, mapping model is the model for representing the mapping relationship between wind speed, sand particle size and wind sand movement boundary;The first coal mining subsidence area boundary is corrected using wind sand movement boundary, and the second coal mining subsidence area boundary is obtained.The method and system of the application improve the prediction accuracy of coal mining subsidence area boundary, and have higher dynamic adaptability.

This invention discloses a method for joint monitoring of surface subsidence and pipeline deformation in coal goaf areas, relating to the fields of geotechnical mechanics and surveying engineering technology. The method includes: acquiring SAR time-series images of the coal goaf area; obtaining surface subsidence data of the coal goaf area based on the SAR time-series images by combining the S-InSAR method and the phase cumulative difference D-InSAR method; determining the pipeline length, inner and outer diameters, burial depth, and the extent and shape of the soil mass based on the SAR time-series images of the coal goaf area, and establishing a pipeline-soil numerical model of the coal goaf area; determining the subsidence value and horizontal movement value based on the coal goaf image data containing the relationship between surface subsidence and pipeline location; inputting the subsidence value and horizontal movement value into the pipeline-soil numerical model of the coal goaf area for numerical simulation to obtain pipeline deformation stress data; and determining the spatial coupling relationship between the surface subsidence data and the pipeline stress-deformation data by spatially superimposing the surface subsidence data and the pipeline stress-deformation data.

The invention relates to the technical field of foundation pit construction protection, in particular to a pile foundation construction adjacent building protection structure and a construction method. Comprising a plurality of protection piles and protection plates connected between every two adjacent protection piles, the protection piles comprise fixed piles and connecting piles, the fixed piles are located on the lower sides of the connecting piles, and the protection plates are fixedly connected with the connecting piles; a supporting rod is movably connected between the fixed pile and the connecting pile, a plurality of monitoring parts are evenly arranged in the fixed pile in the height direction, each monitoring part comprises at least four monitoring assemblies, and the monitoring assemblies are evenly distributed in the circumferential direction of the fixed pile. Relative displacement, caused by geological settlement, of the fixed pile and the connecting pile can be monitored synchronously, and a full-dimension monitoring system of horizontal collapse and vertical settlement is formed.

The present application relates to a kind of rock-socketed foundation bearing capacity compensation design method considering rock mass constraint, comprising: establishing rock-socketed foundation calculation model, determine its consolidation boundary condition in rock layer;Calculate the horizontal soil resistance of triangle distribution produced when foundation rotates;Solve the resisting moment of horizontal rock resistance to base center;The deformation of base is decomposed into integral subsidence and rotating component;Determine the calculation formula of base zero stress point position, and establish base vertical pressure distribution model;Establish the overall balance equation group, and solve the foundation rotation angle and zero stress point position by iteration calculation;Calculate the maximum compressive stress of base and evaluate the bearing capacity compensation effect;Finally, section internal force analysis and reinforcement design are carried out.The present application provides additional resisting moment by quantifying rock mass constraint, effectively reduces the maximum compressive stress of base, provides theoretical basis and technical support for improving foundation bearing capacity and optimizing foundation size, and is especially suitable for rock-socketed foundation design in high intensity seismic region.

This invention relates to the field of surface subsidence and deformation technology, and particularly to a method for predicting abnormal surface deformation responses under the coupling of faults and loose layers. This method solves the technical problem of accurately assessing the surface subsidence and deformation patterns caused by coal mining under different geological conditions in existing technologies. The technical solution includes: establishing a three-dimensional numerical model using a Mohr-Coulomb constitutive model and setting the fault zone thickness; establishing eight sets of control experimental models and using the controlled variable method to study the effects of fault dip angle and loose layer thickness; performing simulation calculations by excavating the working face in 13 steps, with each step having a spacing of 30m; and effectively revealing the characteristics of how increasing fault dip angle promotes an increase in the maximum surface subsidence value, and how increasing loose layer thickness leads to an increase in the subsidence value followed by stabilization. This method can effectively assess the abnormal response patterns of surface subsidence and deformation under complex geological conditions.

The present application belongs to the technical field of hydrology, and particularly relates to a method for improving spatial resolution of groundwater storage based on settlement characteristic weighted fusion. The technical scheme of the present application is based on extraction of settlement characteristics and derivation of weight algorithm, and the new settlement characteristic weighted fusion method fully considers the influence of two data characteristics of surface settlement and water level change on the change of groundwater storage. Through weighted fusion of the groundwater storage anomaly inverted by GRACE and InSAR data, a brand-new fusion image is obtained. The fusion result is more sensitive to the surface settlement characteristics, can better show the detail characteristics of water storage change, and can more accurately provide information services for the utilization of water resources.