337 results about "Ground subsidence" patented technology

The invention discloses a foundation settlement early warning method and system based on an intelligent algorithm, and relates to the technical field of settlement early warning. During operation of the system, through combined use of various sensors, foundation settlement related data from multiple sources are collected and processed and fused in real time, foundation settlement is predicted through the intelligent algorithm, and the early warning effect is achieved. The settlement risk of different areas is evaluated by combining a space-time big data analysis technology, a settlement risk index GSI is calculated, an early warning grade is output, early warning decision making is carried out according to a prediction result and a set dynamic threshold value, the severity of the settlement risk is judged and classified, a system automatically generates an early warning report, and once early warning is triggered, the early warning is automatically carried out. The system automatically starts an emergency response scheme, dynamically adjusts reinforcement and intervention strategies according to the actual change of foundation settlement, provides a real-time visual interface of settlement data and early warning information, and displays the settlement state, the early warning level and historical data.

The invention discloses a shield tunnel ground subsidence real-time prediction method considering spatio-temporal information, and the method comprises the steps: constructing an input feature system, including classifying model input into geometric information, multi-ring geological condition information, multi-time step shield parameter information and historical subsidence information; a multi-source information fusion model architecture is designed, geometric information, geological condition information, shield operation parameter information and historical settlement information serve as input of the model, and feature extraction is conducted through multiple encoders. Then feature fusion is carried out, nonlinear mapping is carried out by using a residual network (ResNet), and finally a real-time settlement prediction value is output; according to the scheme, the space-time characteristics of ground subsidence induced by tunneling are deeply excavated, and real-time prediction of subsidence of any position in a disturbance range is realized through deep fusion of multi-source characteristics.

The invention provides a building ground subsidence monitoring device, which comprises a subsidence pipe, a monitoring ring and a detection assembly, and is characterized in that the subsidence pipe is inserted into a hole channel of a building ground, and a guide channel extending along the subsidence direction is arranged in the subsidence pipe; the monitoring ring is arranged outside the settlement pipe in a sleeving mode and moves downwards along with settlement of the building ground. The detection assembly is arranged in the guide channel, the height position of the detection assembly and the height position of the monitoring ring synchronously ascend and descend, and the detection assembly is used for detecting the sinking distance of the monitoring ring. According to the building ground subsidence monitoring device, the detection assembly and the monitoring ring are arranged to ascend and descend synchronously, the subsidence distance of the monitoring ring is detected in the ascending and descending process of the detection assembly, manual measurement is not needed, and the monitoring efficiency is high. And the detection assembly is arranged in the internal guide channel of the sedimentation pipe, so that the influence of external soil and the like on the monitoring environment can be greatly reduced, and the monitoring convenience is improved.

The invention relates to the technical field of geological disasters, and discloses a geological disaster monitoring analysis method and device, electronic equipment and a storage medium. The method comprises the following steps: deploying a sensor in a drill hole in a target geological area; acquiring an output signal of the sensor, and processing the output signal to obtain an acquired digital signal with a unified format; analyzing according to the acquired digital signals to obtain karst development characteristic data, karst dynamic change data and ground subsidence data; performing calculation according to the acquired digital signals, the karst development characteristic data and the karst dynamic change data through a karst disaster prediction model to obtain karst disaster risk index data; calculating correlation between the land subsidence data and the acquired digital signals to obtain land subsidence correlation data; and displaying the karst disaster risk index data and the land subsidence correlation data in a preset visual mode. According to the method, geological disasters are accurately monitored, and efficient geological disaster data analysis and risk assessment are realized.

The invention relates to the technical field of settlement monitoring, in particular to embedded type ground settlement monitoring equipment which comprises a settlement pipe, a magnetic ring and a displacement sensor, four sliding grooves are formed in the outer wall of the settlement pipe at equal intervals, sliding blocks are slidably connected to the inner sides of the four sliding grooves, the magnetic ring is slidably connected to the outer wall of the settlement pipe, and the sliding blocks are fixedly connected to the inner side of the magnetic ring. Through the arrangement of the conical block, the insertion rod, the limiting mechanism, the removing mechanism and other structures, in the monitoring equipment installation process, after the periphery of a sedimentation pipe is backfilled, the insertion rod on the magnetic ring is automatically extruded out and inserted into surrounding backfilled soil, then the limiting rod is pushed out of a sliding groove through the removing mechanism, and the magnetic ring can be installed conveniently. And the sliding positions of the limiting rod and the inserting rod are limited, so that the downward sliding limitation of the magnetic ring is relieved, the displacement sensor moves to the side of the magnetic ring, the magnetic ring is quickly mounted, the difficulty in positioning and fixing in the mounting process of the magnetic ring is avoided, and the mounting efficiency is improved.

The invention provides a classification and prediction method based on InSAR (Interferometric Synthetic Aperture Radar) time sequence large-range deformation results, and relates to the field of land subsidence prediction. The prediction method comprises the following steps of: acquiring and verifying long-time sequence earth surface deformation data of a predetermined area by using a time sequence InSAR (Interferometric Synthetic Aperture Radar) technology; respectively completing trend clustering and spatial clustering for the long-time sequence earth surface deformation data, and extracting a settlement hot spot area; establishing a settlement hot spot area deformation prediction model based on the settlement hot spot area; and predicting the land subsidence trend of the subsidence hot spot region in the future predetermined time length by using the prediction model, and outputting a subsidence prediction map. Compared with a conventional method, the multi-point land subsidence prediction model can be established, the subsidence hot spot area is accurately extracted through unsupervised classification, and finally the future subsidence prediction result of the hot spot area is provided. Experimental results show that the method has remarkable advantages in the aspect of improving the operation efficiency and precision of the prediction model.

The invention discloses a three-dimensional deformation-based land subsidence and disaster risk assessment method, system and device, and relates to the field of land subsidence disaster prevention, and the method comprises the steps: obtaining a synthetic aperture radar image set, underground water level dynamic characteristics and global navigation satellite system reference station data of a research region; based on the synthetic aperture radar image set, determining an unwrapping graph queue by adopting a coherence-based small baseline subset differential interference synthetic aperture radar method; estimating a vertical rate and a horizontal rate according to the unwrapping graph queue and the reference station data of the global navigation satellite system; performing high-coherence point selection and two-dimensional deformation decomposition on the direction data, further determining the surface displacement of the stratum in the research area, and describing the surface subsidence intensity of the research area by adopting subsidence difference and angle deformation; and evaluating the disaster risk of land subsidence in the research area according to the earth surface displacement of the stratum in the research area and the dynamic characteristics of the underground water level. According to the invention, the accuracy of land subsidence and disaster risk assessment is improved.

The invention belongs to the technical field of land subsidence monitoring and early warning, and relates to a land subsidence prediction method based on a three-dimensional monitoring net, which comprises the following steps: S1, generalizing a hydrogeological structure and quantifying the volume compression coefficient of each layer based on test data of a geological identification hole and observation data of an underground water level monitoring hole, a layered standard hole and a pore water pressure monitoring hole; s2, constructing a three-dimensional groundwater seepage model, and calculating groundwater level spatial distribution data of each aquifer; s3, fitting observation data of the underground water level monitoring hole with a calculation result, and inverting parameters in the three-dimensional underground water seepage model; and S4, operating the inverted groundwater seepage model to obtain groundwater level drawdown and pore water pressure difference spatial distribution data and the like of each water-bearing layer and each water-resisting layer. According to the land subsidence prediction method provided by the invention, the severity of land subsidence can be effectively, quickly and visually judged, the prediction result is high in precision, and land subsidence prediction caused by exploiting underground water at different depths is supported.

The invention provides a method for predicting ground subsidence caused by ground stress change in geothermal exploitation, which comprises the following steps: collecting geological survey data of a target geothermal exploitation area, and constructing a three-dimensional geomechanical model; based on the constructed three-dimensional geomechanical model, simulating crustal stress evolution processes in different mining stages by adopting a numerical simulation method to obtain crustal stress tensor time sequence change data; inputting the crustal stress tensor time sequence change data into a three-dimensional geomechanical model as a boundary condition, and calculating the deformation of each rock stratum in the vertical direction to obtain a ground surface settlement estimated value; constructing a crustal stress-settlement prediction model based on the nonlinear mapping relationship between the crustal stress tensor time sequence change data and the settlement estimated value, and training; and inputting subsequent terrestrial heat exploitation scheme parameters, and predicting a future ground surface settlement trend by using the trained ground stress-settlement prediction model. The method is wide in application range and can be suitable for ground subsidence prediction of the geothermal exploitation area under different geological conditions.

The invention provides an underground water monitoring method. The method comprises the following steps: acquiring underground water level monitoring data in real time; the corresponding water level monitoring data range in the first preset time period is compared with a water level amplitude variation abnormal threshold value, and the water level abnormal level of each point position is obtained; according to the fitting relation between the historical water level amplitude variation data and the land subsidence amplitude variation data, constructing a multi-stage early warning threshold model related to water level early warning and water level amplitude variation early warning; and comparing the groundwater level monitoring data of the point location with the highest water level abnormal level with various early warning thresholds in the multi-level early warning threshold model to obtain the groundwater early warning level of the corresponding point location. According to the method, the quantized multi-stage early warning threshold model is constructed through the fitting relation of settlement-water level, the invasion of the external water can be early warned more accurately, the risks of the invasion of the external water, land subsidence, ecological degradation and the like can be remarkably reduced, and sustainable management of water resources is facilitated.

The invention relates to the technical field of engineering detection, in particular to an unmanned aerial vehicle photovoltaic station geological settlement dangerous case rapid detection method and system. An unmanned aerial vehicle is used for periodically collecting and processing image data of a photovoltaic station area along an air route to obtain digital elevation models at different times; and comparing the digital elevation models at different times to analyze the settlement condition of the photovoltaic station area. By adopting the unmanned aerial vehicle photography technology, the whole-area monitoring of the photovoltaic station can be realized, the real situation of the ground feature and landform of the subsidence area can be clearly and intuitively reflected, the comprehensiveness of ground subsidence monitoring can be ensured, and the aerial photography efficiency, the modeling speed and the modeling precision are greatly improved; the problems that a traditional subsidence monitoring method is high in cost, low in efficiency and low in precision are solved.

The invention provides a high geothermal exploitation land subsidence data monitoring method and device. The method comprises the following steps that S1, a monitoring area is determined, and monitoring points are arranged; s2, corresponding monitoring devices are installed at the monitoring points and debugged; s3, collecting multi-source original data; s4, preprocessing the multi-source original data; s5, constructing a collaborative fusion model of the long short-term memory network and the gradient boosting decision tree, and outputting a final fusion settlement amount; and S6, carrying out time sequence analysis, spatial distribution analysis and anomaly judgment. Through the full-process design of multi-source data acquisition, intelligent fusion modeling and dynamic analysis early warning, high-precision and dynamic settlement monitoring is achieved, the problems of precision limitation and response lag of a traditional monitoring method are solved, and key technical support is provided for safe and sustainable development of high geothermal resources.

The invention discloses a method and a device for identifying an underground water level threshold value corresponding to ground surface deformation. The method comprises the following steps: S1, acquiring underground water levels of different aquifer groups and PS point settlement rates; and S2, according to the underground water levels of the different aquifer groups and the PS point settlement rates, time-space response characteristics of water level changes of the different aquifer groups in multiple time periods and surface deformation are quantified, and response thresholds of the water level changes of the different aquifer groups to the surface deformation are identified. By the adoption of the technical scheme, the space-time response characteristics between underground water level changes and earth surface deformation of different aquifer groups are quantitatively analyzed, the underground water level threshold value is recognized, and a scientific basis is provided for regional land subsidence regulation and control.

The present invention discloses a method and system for predicting the danger of ground subsidence, which relates to the technical field of geological disaster prediction. The monitoring area is divided, a plurality of divided areas are obtained, the historical ground subsidence soil layer pressure data, water flow data and vegetation index data of the divided areas are collected, and the data are divided at equal time intervals; each pressure settlement prediction model based on the historical ground subsidence soil layer pressure data, water flow data and vegetation index data is established; the weight of each settlement prediction model is calculated using a preset fuzzy hierarchical analysis, a combined settlement prediction model is established according to the weight, and the ground subsidence is predicted according to the combined settlement prediction model. The method and system for predicting the danger of ground subsidence provided by the present invention can accurately predict ground subsidence, thereby reducing the harm caused by ground subsidence to human life.

The invention discloses a hidden danger identification marking method for a ground subsidence disaster of a power transmission line tower foundation. Comprising the steps of power transmission line tower foundation land subsidence disaster investigation, research area remote sensing image data query, optical remote sensing data interpretation, InSAR data interpretation, field investigation, optical image data interpretation mark analysis, InSAR interpretation mark analysis and field investigation mark analysis. According to the method, the multi-source remote sensing technology and the field investigation are utilized to carry out the method for identifying the potential ground subsidence hazard of the power transmission line tower foundation on the regional scale, and each step and the adopted method in identifying the potential ground subsidence hazard hazard of the power transmission line tower foundation by utilizing the multi-source remote sensing technology and the field investigation are standardized; the working efficiency, the recognition precision and the economic benefit of the hidden danger recognition of the ground subsidence of the power transmission line tower foundation can be practically and effectively improved; and the technical process of power transmission line tower foundation land subsidence disaster investigation can be effectively standardized.

The invention discloses a ground surface settlement and ground fracture monitoring device and method based on distributed fiber sensing (DSS) and fiber bragg grating (FBG). The device comprises a GFRP composite material substrate which stretches across a ground fracture and is fixed on a stable stratum through an anchoring structure, a distributed sensing and temperature measuring optical cable which is pre-embedded in a groove of the substrate, an FBG displacement meter which is connected through a plug-and-play interface, a static force level gauge, an osmometer and other point type sensors, and the data processing unit has the functions of multi-source data acquisition, temperature compensation, data fusion and multistage early warning. According to the method, multi-parameter, distributed and high-precision monitoring of the ground fracture development state is achieved through the steps of field investigation, substrate installation, sensor deployment, system calibration, real-time monitoring and the like. The method has the advantages of high measurement precision, strong anti-interference capability, convenient installation, low cost, capability of predicting the crack propagation trend and the like, and is suitable for long-period safety monitoring of geological disaster frequent areas such as mining areas and landslide areas.

The invention belongs to the technical field of geological analysis, and discloses a ground subsidence analysis method and device, and the method comprises the steps: matching a sensor layout strategy corresponding to a foundation subsidence risk and meteorological data of a monitoring region; acquiring land subsidence data of the monitoring area according to a sensor; performing time-frequency analysis on the land subsidence data to obtain a geoacoustic spectrogram corresponding to the land subsidence data; inputting the geoacoustic spectrogram into a preset neural network, and outputting a settlement semantic vector corresponding to the geoacoustic spectrogram; acquiring and analyzing historical land subsidence data, and constructing a subsidence rule corresponding to the historical land subsidence data; and inputting the settlement semantic vector and the settlement rule into a preset space-time analysis model, and predicting to obtain a future settlement trend of the monitored area. By using the method disclosed by the invention, the problem that all risks in a certain area cannot be checked when geological data is monitored based on local monitoring points can be solved, and the problem that the geological risk analysis efficiency is relatively low can be solved.

The invention provides an engineering investigation surveying and mapping intelligent management method and system based on a geographic feature processing technology. The method comprises the following steps: acquiring building distribution density, ground gradient and underground rock stratum distribution data of a target area, deploying a ground deformation monitoring radar at a selected position based on the building density and the rock stratum data, generating ground deformation data through radar images, and then separating ground subsidence change and original terrain characteristics to form a subsidence map; meanwhile, image reflection characteristics are analyzed to mark dangerous areas. And then integrating the ground gradient, the settlement trend and the rock stratum structure complexity to construct a land bearing evaluation model. The influence weight is further adjusted in combination with engineering requirements, and a bearing force evaluation result is generated after the model is input. Therefore, a scientific three-dimensional development planning scheme is generated, and optimized utilization and risk management and control of land resources are realized. According to the invention, through multi-source data fusion and model calculation, full-process analysis from land deformation monitoring to load bearing evaluation is realized.

The invention relates to a land subsidence prediction method which comprises the following steps: assuming that n subsidence monitoring points, including n1 known points and n2 points to be inserted, are arranged in a region; according to the spatial position information of the known points, the ground subsidence of all the subsidence monitoring points is fitted by using a quadric surface fitting method; calculating the settlement deviation of n1 known points, and taking the spatial position information and the settlement deviation of the known points as training samples; a PPLN network model is constructed, the input is spatial position information and a quadric surface fitting value, the output is settlement deviation, the training sample is utilized to train the PPLN network model, and a land subsidence prediction model is obtained; and predicting the predicted settlement of the n2 points to be inserted by using the trained land subsidence prediction model. According to the method, the advantages of the quadric surface fitting method and the PPLN method are fully utilized, the gross error influence can be reduced, the signal estimation value with the minimum mean square error can be fitted by adjusting the parameters through self-learning, and therefore the interpolation precision is improved.

The invention discloses a dynamic monitoring and management system for land subsidence of an oil pipeline in a loess area. The dynamic monitoring and management system comprises a basic sensing module, an intelligent analysis module and a decision execution module, the basic sensing module is used for monitoring ground surface deformation, soil humidity and pipeline surrounding environment parameters along a pipeline in a collapsible loess area in real time; the intelligent analysis module is used for analyzing the data acquired by the basic sensing module to judge whether the ground subsidence occurs or not; if the ground subsidence occurs, calculating the subsidence amount, further calculating the suspension length of the pipeline, analyzing the stress condition of the pipeline, and calculating a comprehensive risk index R; and the decision execution module implements automatic risk assessment and emergency response according to a grading early warning strategy based on a result output by the intelligent analysis module. According to the management system, all-weather dynamic monitoring of loess collapse deformation along the oil pipeline is achieved, early warning is issued in time when potential hazards occur, and emergency management is executed.

The invention relates to the technical field of civil engineering, in particular to an energy-saving and environment-friendly vacuum preloading foundation treatment method which comprises the steps that a foundation soil body is divided into a plurality of foundation units, and a plurality of vacuum pumps are installed according to initial operation parameters; pre-suction is conducted on the foundation, the vacuum state of any foundation unit is judged, the suction power or the predicted demand power of the corresponding vacuum pump is adjusted, and the under-membrane vacuum pressure of the foundation unit is measured for the second time; the consolidation state of the foundation unit is judged according to the pore water pressure, and the fluctuation of pore water pressure change is detected to determine the foundation consolidation stage; drawing an intra-membrane vacuum pressure change curve in the main consolidation stage, judging the change trend of the curve, and determining the stability of the intra-membrane vacuum pressure and the working state of the sealing membrane according to the fluctuation of the curve; and in the secondary consolidation stage, the ground subsidence height is measured to predict whether the vacuum preloading reaches the load required by the design or not. By evaluating the consolidation degree and stability of the foundation soil body, the efficiency and accuracy of vacuum preloading treatment are improved.

The utility model discloses a supporting rod of road surface state monitoring equipment for a tunnel, which belongs to the technical field of monitoring equipment and is characterized by comprising a supporting rod assembly and a stabilizing mechanism, a preassembled plate is welded at the bottom of the supporting rod assembly, a first mounting frame is arranged on the surface of the supporting rod assembly, and a second mounting frame is arranged on the surface of the supporting rod assembly. The front side of the first mounting frame is bolted with a movable assembly, so that the problems that a supporting rod of existing road surface state monitoring equipment for the tunnel is mostly directly connected with the ground during use, the supporting rod is easy to shake when bearing the weight of the monitoring equipment and external acting force, the mounting stability of the monitoring equipment is limited, and meanwhile, the supporting rod is not easy to shake when bearing the external acting force are solved. The problems that in the prior art, in the face of complex environmental factors in a tunnel, such as vibration generated by vehicle running and ground subsidence, a supporting rod is prone to inclining and even collapsing, long-term stable supporting is not convenient to provide for monitoring equipment, and then normal development of road surface state monitoring work is affected are solved.

The invention discloses a compaction water release simulator, relates to the technical field of monitoring and prediction, and mainly aims to accurately simulate the compaction water release process of an aquitard and the accumulative effect of long-term land subsidence. According to the main technical scheme, the compaction water release simulator comprises a mold cylinder used for containing a soil body sample, a drainage assembly is arranged on one side of the mold cylinder in the axial direction, and a pressing rod is arranged on the other side of the mold cylinder in the axial direction; the first driving assembly is connected with the pressing rod, and the first driving assembly is used for driving the pressing rod to ascend and descend; the control assembly comprises a pressure sensor and an analysis module, the pressure sensor is connected with the first driving assembly and used for monitoring the pressure value of the first driving assembly acting on the soil body sample through the pressing rod, and the analysis module is connected with the pressure sensor and the first driving assembly and used for obtaining the pressure value; and comparing with a preset interval, and controlling the first driving assembly to move based on a comparison result.

The invention relates to the technical field of building construction, in particular to a land subsidence monitoring method and system based on weak grating array monitoring, and the method comprises the steps: obtaining real-time strain and subsidence; determining a first temporary area; determining a second temporary area; acquiring the width of a bump crack; adjusting a preset synchronization degree threshold value; correcting a settling volume threshold value; and sending out an abnormal prompt. Through the high-precision monitoring capability of the weak grating array, real-time dynamic tracking of ground subsidence in the subway construction process is achieved, the recognition precision of abnormal subsidence is improved, the mode of step-by-step screening and dynamic threshold value adjustment is adopted, misjudgment can be effectively reduced, and the recognition precision of abnormal subsidence is improved in combination with bulge crack width change analysis. The settlement trend and potential risks can be more accurately judged, false alarms caused by stratum disturbance or construction vibration are reduced, the stability of subway construction and the surrounding environment is ensured, and the problem of low monitoring result accuracy caused by dependence on static and single monitoring data is effectively solved.

The invention discloses a method for estimating subsidence of ground around a subway under construction by considering weather factors. Selecting a ground subsidence research area around the subway under construction, and obtaining ground subsidence data and weather data in the research area; a settlement estimation subarea module is built based on a time sequence clustering algorithm, monitoring points in a research area are divided into a plurality of settlement estimation subareas according to settlement rule similarity, and the influence of data heterogeneity of different areas is reduced; a graph neural network is adopted to construct a rule capturing module, and the spatial topological relation between monitoring points in the settlement estimation subarea is analyzed; a weather factor module is built through a gating circulation unit neural network, time sequence data corresponding to weather factors are processed, and the influence of the time sequence data on land subsidence is captured; and fusing the settlement spatial-temporal characteristics and the weather characteristics to obtain a land settlement estimated value of the research area. Compared with an existing estimation method, the land subsidence estimation method can obtain more accurate regional future land subsidence data, and reliable data support is provided for subway construction.

The invention discloses a machine learning-based foundation pit construction safety assessment multi-index prediction method, and relates to the technical field of foundation pit risk assessment and prediction. The method comprises the following steps: constructing a construction safety evaluation system including core indexes such as horizontal displacement of a support pile body and ground surface settlement; based on an LSTM machine learning algorithm, fusing monitoring data, constructing a foundation pit construction safety assessment prediction model based on multi-index fusion, and realizing prediction of a safety assessment index variable quantity; and evaluating the safety level of a single index based on a safety level quantification formula, and further evaluating the overall safety level of the foundation pit by adopting a weighted fusion method. According to the prediction method adopting the steps, the foundation pit construction safety prediction in the excavation process is carried out by fusing the core monitoring project index data having strong correlation with the foundation pit safety level, so that the timeliness and accuracy of the foundation pit construction safety prediction are improved, and a theoretical basis is provided for the foundation pit construction safety.

The invention discloses a shield deslagging volume and soil bin pressure double-controlled land subsidence self-adaptive regulation and control method, and belongs to the technical field of underground engineering construction. The method comprises the following steps: S1, data acquisition of monitoring equipment and various sensors; s2, constructing and calibrating an initial model; s3, setting and executing an initial regulation and control strategy; s4, adaptive regulation and control and model optimization are carried out; s5, automatic early warning and manual intervention are carried out; and S6, regulation and control effect verification and construction adjustment are carried out. According to the method, by monitoring the deslagging volume and the soil bin pressure in real time and combining multiple factors such as geological conditions and shield tunneling machine parameters, the deslagging speed and the soil bin pressure in the construction process are automatically adjusted, so that ground subsidence is reduced, and the construction safety and precision are improved. The device is used in the shield construction process, and self-adaptive regulation and control of ground subsidence are achieved through dual control over the deslagging volume and the soil bin pressure.

The invention relates to the technical field of foundation pit deformation prediction, and particularly discloses a method for predicting fence lateral displacement and land subsidence caused by foundation pit dewatering, and the method comprises the following steps: obtaining influence parameters of foundation pit deformation at a monitoring point, the influence parameters including the width of a foundation pit, the dewatering depth of the foundation pit and the supporting condition of an enclosure structure; calculating the maximum lateral displacement value of the deformation of the enclosure structure based on a pre-established maximum deformation model of the enclosure structure; and calculating a predicted value of the maximum settlement amount of the ground surface outside the foundation pit at the monitoring point, and predicting an actual value of the settlement amount of the ground surface outside the foundation pit at the monitoring point based on a pre-constructed neural network prediction model and an empirical formula. According to the method, a foundation pit periphery deformation prediction formula suitable for different working conditions is provided according to the change rule of the maximum settlement value and the actual settlement value of the retaining structure and the ground surface outside the foundation pit caused by rainfall before excavation, great convenience is provided for selection and optimization of foundation pit engineering design, and deformation control over foundation pit excavation is facilitated.

The invention discloses a soft soil area vertical shaft deep foundation pit ground subsidence prediction method and device, and belongs to the field of deep foundation pit engineering. The method comprises the following steps: establishing a two-dimensional finite element model for ground surface settlement analysis under the coupling action of a seepage field and a stress field; the working condition of the model is adjusted to determine main factors affecting ground surface settlement; establishing a regression equation for predicting the maximum wall deflection caused by support excavation and an empirical equation for predicting a deformation ratio based on the main factors; training and predicting parameters in the regression equation and the empirical equation by adopting a machine learning algorithm on the basis of accumulated ground surface settlement data obtained by numerical analysis of the typical construction process of the vertical shaft; determining the maximum surface settlement based on the deflection equation and the deformation ratio equation; and based on the maximum surface subsidence, according to the outside-pit subsidence influence range and the subsidence curve form, the surface subsidence influence area around the foundation pit is partitioned, and surface subsidence is predicted. According to the method and device, the ground subsidence induced by shaft foundation pit construction can be rapidly calculated.

The invention relates to the field of mining area subsidence reduction and filling mining, in particular to a coal mining method for controlling ground subsidence through bottom plate isolation grouting filling. Comprising the steps that a rock stratum with a certain thickness is selected below a bottom plate damage zone to serve as a bottom plate pressure-bearing protection layer, the bottom plate pressure-bearing protection layer arches upwards under the grouting pressure, but cracks for conducting the upper bottom plate damage zone are not generated; the bottom interface of the pressure-bearing protection layer of the bottom plate serves as a grouting layer, and grouting drill holes are constructed to communicate with the grouting layer; and when grouting filling can be carried out, filling grout is injected into the grouting layer position from the grouting drill hole. The filling slurry lifts a bottom plate grouting pressure-bearing layer and a bottom plate damage zone under the action of high pressure, and finally the whole goaf is filled, the fracture degree of a coal seam roof is reduced, the settlement amplitude of an overlying rock layer is controlled, and then the surface subsidence amplitude is reduced. The coal mining process and the grouting filling process are separated, the influence of grouting filling operation on working face stoping is avoided, and the method is particularly suitable for coal mine areas with dense buildings.