247 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 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 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 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 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 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 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 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 discloses a transformer substation ground subsidence early warning method, system and equipment integrating monitoring driving, and relates to the related field of building subsidence monitoring, and the method comprises the steps: deploying a magnetostrictive sensor array to sense ground micro-deformation, collecting subsidence data in real time, building a self-organizing network through a low-power-consumption wireless WAPI (Wireless Local Area Network Application Program Interface), encrypting and transmitting the data to an edge computing node; performing multi-source data fusion processing on the nodes, and constructing a settlement trend prediction channel; a double-threshold early warning mechanism is set, a trend prediction value is obtained through prediction channel analysis, and multi-level early warning is triggered by comparing double thresholds based on the prediction value, so that intelligent early warning is realized. The technical problems that the early warning accuracy rate is low and potential safety hazards cannot be found in time due to the fact that a traditional transformer substation ground subsidence monitoring method is single, the multi-source data fusion capacity is weak and the real-time performance is poor are solved, and the purpose that the potential safety hazards cannot be found in time through multi-source monitoring data fusion and trend prediction is achieved. The technical effects of high-precision real-time sensing and graded intelligent early warning of land subsidence are achieved.

The invention relates to a hydrothermal type geothermal heat reservoir protection method and system, and provides a technical scheme of taking heat without taking water aiming at the problems of heat reservoir pressure unbalance, ground subsidence and pollution caused by traditional water taking type development. The system comprises a thermal reservoir parameter monitoring module which collects temperature, pressure and working medium states in real time; the double-path regulation and control module is divided into a first control path and a second control path; the execution module executes two types of signals through interlaced time sequences and controls the rotating speed of the circulating pump and the working medium flow. The core of the method is time domain decoupling: the pump speed is immediately reduced when the temperature exceeds a threshold value, and the flow is adjusted after the pressure abnormity is delayed for 10-30 seconds, so that the pressure and the temperature fluctuation are separated on a time axis. The delay duration is dynamically calculated to be 1.2-1.5 times of the thermal recovery period of the thermal reservoir, and self-adaptive adjustment is performed in combination with the rock heat capacity characteristic and the fracture development state.

The invention relates to the technical field of civil engineering, and discloses an artificial intelligence assistance-based drilling rig detection method for ground surface settlement, which systematically solves the disjunction problem between a geomechanical mechanism and data-driven prediction by deeply coupling drilling data acquisition, physical constraint embedding and an artificial intelligence model. Compared with the problem of lack of physical constraint embedding of a deep learning settlement prediction model constructed based on drilling data in the prior art, the method has the advantages that the time sequence requirement of the Biot consolidation theory is strictly followed in the data acquisition link, and the dynamic characteristics of the geomechanical process naturally carried by the original data are ensured. Besides, various physical equation constraint terms are embedded in a loss function, a complete reasoning chain is generated in combination with a layer-by-layer correlation propagation algorithm, and causal chain visualization from stratum parameter identification to settlement volume deduction is realized, so that the physical interpretability and engineering practicability of the model are remarkably improved.

The application discloses a method for obtaining high-precision surface subsidence basins by fusing unmanned aerial vehicle DEM and InSAR phases, and belongs to the field of surface subsidence extraction and geological disaster monitoring. The method uses a deformation monitoring method for fusing DSM (DEM) data and InSAR data obtained by an unmanned aerial vehicle, combines the large deformation of the unmanned aerial vehicle DSM (DEM) data and the high-precision characteristics of the InSAR data, and realizes the purpose of quickly, accurately and comprehensively obtaining deformation information of a mining area. The following steps are performed: S1, data acquisition; S2, data conversion; S3, phase fusion; S4, data solving; and finally, complete and accurate deformation of a subsidence basin in the mining area is obtained. The phase "whole number" in the image processing process is corrected by using the unmanned aerial vehicle to obtain the subsidence basin information in the mining area, so that the D-InSAR technology can be used to monitor the subsidence level of the mining area.

The invention relates to the technical field of geological disaster monitoring, and discloses an automatic monitoring method for monitoring stratum collapse by using a layered settlement meter, which comprises the following steps: step 1), mounting an isolation pipe in a monitoring hole; step 2), placing the isolation pipe provided with the magnetic ring into the monitoring hole; (3) filling a gap between the outer wall of the isolation pipe and the hole wall of the monitoring hole with a backfill soil layer; (4) adjusting the relative positions of a plurality of magnetic layering settlement sensors on the core rod to enable the magnetic layering settlement sensors to be matched with the positions of the magnetic rings, and then loading the core rod into the isolation pipe; 5) matching a data acquisition terminal on the core rod, and configuring power supply equipment on the data acquisition terminal; by drilling holes in hidden danger points, installing isolation pipes and arranging magnetic rings and magnetic layering settlement sensors, layering monitoring of different depths of the stratum is achieved, the limitation that a settlement layer position is difficult to accurately position in traditional monitoring is broken through, and the settlement dynamic state of the stratum of each depth can be clearly captured.

The utility model relates to a cable trench structure, and belongs to the technical field of cable installation. According to the utility model, the gravel layer, the fine sand layer and the prefabricated concrete protection plate are arranged around the cable, so that better protection can be provided for the cable, the damage of external force to the cable is effectively reduced, and the service life of the cable is prolonged; the arrangement of the rubble layer and the fine sand layer helps to improve the drainage performance of the cable trench, prevents water accumulation, reduces the risk that the cable is affected with damp, and guarantees the normal operation of the cable. The rubble layer at the bottom of the trench is matched with the plain soil layer, the lime soil layer and the gravel layer at the upper part of the trench, so that the stability of the cable trench structure is improved, larger external force and load can be borne, the influence of ground subsidence on the cable is effectively reduced, and the reliability is relatively high.

The utility model discloses a monitoring device for building foundation settlement, which relates to the technical field of foundation settlement monitoring and comprises a bottom plate, an upright post fixedly connected to the upper side of the bottom plate, a limiting piece fixedly connected to the outside of the upright post, a rotating sleeve rotationally connected to the outside of the limiting piece, and a gear ring fixedly connected to the outside of the rotating sleeve. A rotating mechanism is installed outside the stand column, a plurality of sets of annularly-arranged fixing rods are fixedly connected to the outer portion of the rotating sleeve, a connecting cylinder is fixedly connected to the tail end of each fixing rod, a fixing square cylinder is fixedly connected to the tail end of each connecting cylinder, and a monitoring mechanism is installed on the inner side of each fixing square cylinder. According to the device, a sliding rod is automatically driven to make contact with a foundation through a balancing weight, settlement data are directly read through a graduated scale on a fixed square cylinder, the monitoring process is greatly simplified, convenience is improved, and meanwhile the settlement data can be accurately measured in the mode that the telescopic length of a connecting cylinder is adjusted and a motor drives a gear and a gear ring to rotate in a meshed mode. Different monitoring points can be flexibly covered, and omnibearing monitoring of foundation settlement is realized.

The invention discloses a ground subsidence and ground fracture optical fiber sensor and an installation method, and the method comprises the following steps: S1, drilling and optical fiber position determination: determining the position of an optical fiber grating in the optical fiber sensor according to a drilled rock core, and determining the proportion of pouring cement according to the components of the rock core; s2, processing the sensing optical fiber: roughening the surface of the sensing optical fiber, and arranging annular cards with openings on the sensing optical fiber at certain intervals; s3, mounting rods and balancing weights, wherein the balancing weights are arranged at the top ends of the mounting rods; s4, an unlocking device is adopted, specifically, in the cement pouring process, the balancing weight is unlocked through the unlocking device; and S5, lowering the sensing optical fiber and pouring cement: according to the mounting condition of the sensing optical fiber, fixing the top end of the sensing optical fiber on a balancing weight or performing arc bending, lowering the sensing optical fiber through a mounting rod, then connecting the mounting rod step by step, injecting cement with different parameters according to the acquired parameters of the rock core, and lifting the mounting rod upwards in the injection process.

To provide an ejecta suppression and ground subsidence suppression system of liquefaction ground which confirms that a crushed shell drain composed of a crushed shell suppresses reduction in drainage performance accompanied by mixing of sand compared to a gravel drain, and is effective as a liquefaction countermeasure drain, and in which since the crushed shell is small in dry density and is extremely lightweight compared to a crushed stone, the dead weight in a ground improvement area is small, and the system has an effect for further reducing a ground subsidence amount after liquefaction.SOLUTION: An ejecta suppression and ground subsidence suppression system, ejecta being from an improvement ground surface by earthquake time liquefaction in an improved ground where a crushed shell drain is laid, includes: selecting a crushed shell having such a coefficient of permeability that a seepage pressure by an excess pore water pressure difference of the crushed shell drain laid on the ground is not higher than an effective placement pressure of the crushed shell drain, after liquefaction; laying the crushed shell drain formed of the selected crushed shell; and improving the ground.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of mining engineering, and provides a mining ground subsidence dynamic prediction method based on a geological trigger rebalance mechanism, which comprises the following steps: acquiring multi-dimensional characteristic parameters and real-time subsidence monitoring data of mining ground subsidence; inverting the real-time sensitivity of the characteristic parameters according to the obtained multi-dimensional characteristic parameters and the real-time settlement monitoring data; based on the obtained real-time sensitivity adaptive distribution parameter contribution degree, a geological trigger rebalance mechanism is embedded; and in combination with a geological trigger rebalance mechanism and real-time settlement monitoring data, automatically identifying a mining ground settlement stage, calculating a dynamic prediction value of mining ground settlement, and completing dynamic prediction of mining ground settlement.

The utility model relates to pipeline installation technical field, concretely is a pipeline laying fixed structure, it includes bottom plate, adjusting mechanism, pipeline installation mechanism, fixed establishment and installation box, adjusting mechanism sets up at the top of bottom plate, pipeline installation mechanism sets up at the top of adjusting mechanism, fixed establishment sets up at the side of adjusting mechanism, the inside slide of installation box is provided with moving plate, the utility model discloses the setting of fixed establishment, motor drives drill bit to drill into the ground, miniature cylinder drives the land of the side of reinforcing plate to tie into, thereby realizes the multiple fixed of device, like this can avoid pipeline in operation to receive thermal expansion and cold shrink, medium pressure, ground subsidence etc. external force effect, thereby leads to local stress concentration, causes pipeline deformation, interface loosening even rupture, and through multipoint fixed, will stress dispersion to multiple support points, avoids single point overload, thereby protects pipeline structure integrity.

The utility model discloses a greenhouse foundation capable of preventing a foundation from sinking, which comprises a plurality of transverse and vertical rows of pile foundations arranged on a greenhouse foundation easy to sink, the transverse rows of pile foundations are connected through corresponding transverse ring beams, and the vertical rows of pile foundations are connected through corresponding vertical ring beams. The vertical joint of the transverse ring beam and the vertical ring beam is located in a local heavy area or a local serious foundation settlement position, and the transverse ring beam and the vertical ring beam are provided with corresponding local pile foundations in the four directions of the vertical joint. The pile foundations are arranged on the easy-to-settle foundation to improve the bearing capacity, the pile foundations are densely arranged in a local bearing area, and the pile foundations are connected into an integral stress system through the ring beams, so that the technical problem that a traditional greenhouse foundation is easy to generate uneven settlement under the condition of a soft foundation is effectively solved, and the practical value is very high.

The invention discloses a method and system for processing ground surface settlement monitoring data, and relates to the technical field of tunnel monitoring data processing, and the method comprises the steps: collecting the ground surface settlement monitoring data of each measuring point, and carrying out the outlier recognition and processing; extracting a feature image of the monitoring data of each measuring point by adopting a Mel-frequency cepstrum coefficient feature extraction method, and converting the ground surface settlement monitoring data into an MFCC feature map; the MFCC feature map is input into a pre-trained MFCC-Transform model for data classification, and measuring point data affected by tunnel excavation construction are reserved; an improved ELM time sequence prediction algorithm is adopted to fill data missing values; and decomposing the monitoring data into a plurality of intrinsic mode functions (IMF) by adopting a VMD time sequence decomposition algorithm, and selecting the IMF with the highest similarity as the monitoring data after noise reduction in combination with a similarity criterion. According to the invention, the full-automatic processing of the ground surface settlement monitoring data is realized, and the reliability of data processing is ensured while the data processing speed is improved.

The invention discloses a grouting and filling mining ground surface deformation monitoring system and method, and belongs to the technical field of mine ground surface deformation monitoring, the system comprises a multi-source data monitoring module, a three-dimensional deformation resolving module, a data processing and early warning module, an integrated geological radar, a ground subsidence monitor, an unmanned aerial vehicle remote sensing device and a micro-nano sensor network, multi-source data collaborative collection of an underground stratum structure, earth surface three-dimensional deformation and stratum stress is achieved, and the three-dimensional deformation resolving module completes high-precision three-dimensional displacement resolving by dynamically adjusting a lateral pressure coefficient, improving a horizontal movement coefficient and fusing radar sight line direction deformation data and a constraint equation. And the data processing and early warning module triggers four-stage dynamic early warning and is linked with the mine production system through denoising, space-time registration, multi-scale fusion and neural network prediction. According to the invention, high-precision, large-range and real-time monitoring of real three-dimensional deformation of the earth surface is realized, and geological disasters such as earth surface settlement and collapse caused by grouting, filling and mining are effectively prevented.

The invention discloses a ground surface settlement monitoring method, device and equipment, a storage medium and a program product, and relates to the technical field of ground surface settlement monitoring. The method comprises the steps of determining data acquisition interval time of two adjacent periods of InSAR settlement data in a time sequence InSAR settlement data set, performing time coding on the data acquisition interval time to obtain a time interval matrix, training a ground surface settlement prediction model by adopting the time interval matrix and the time sequence InSAR settlement data set to obtain a target model, the target model is used for carrying out ground surface settlement monitoring on a to-be-monitored target area. Time coding is performed on data acquisition interval time, and a ground surface settlement prediction model is trained by using a time interval matrix obtained through coding and a time sequence InSAR settlement data set, so that precision errors caused by non-uniform time sequence data are reduced, and the adaptability of a target model to irregular sampling data is improved. The prediction precision of the target model is improved, and finally the ground surface settlement is accurately monitored.

The invention discloses a grouting amount calculation method for controlling land subsidence, and relates to the technical field of mine geological disaster prevention and control, the method comprises the following steps: selecting an optimal historical engineering parameter group, and carrying out grouting efficiency calculation based on the optimal historical engineering parameter group to obtain an optimal efficiency grouting amount ratio; inputting the processed historical engineering parameter set and the optimal efficiency grouting amount ratio into a pre-established adaptive grouting amount calculation model for training to obtain a trained optimal adaptive grouting amount calculation model; and then real-time engineering parameters are input into the trained optimal self-adaptive grouting amount calculation model, a real-time optimal efficiency grouting amount ratio coefficient is output and obtained, and the optimal grouting amount is calculated based on the preset expected settlement reduction amount and the real-time optimal efficiency grouting amount ratio coefficient. Therefore, the function that the optimal grouting amount can be selected in real time according to the expected settlement condition to conduct grouting is achieved.

The utility model discloses a karst ground subsidence comprehensive monitoring system belongs to ground subsidence monitoring early warning technical field. The comprehensive monitoring system includes underground water pressure monitoring system, soil mass deformation monitoring system and data acquisition system, wherein: underground water pressure monitoring system includes karst water monitoring hole and the first water pressure sensor of setting among them, fourth series water monitoring hole and the second water pressure sensor of setting among them, soil mass deformation monitoring system includes vertical optical fiber monitoring hole and the optical fiber sensor of setting among them, and data acquisition system with first water pressure sensor, second water pressure sensor and optical fiber sensor all electric connection. The utility model selects underground water as the inducing factor of ground subsidence, and simultaneously takes the underground soil mass as the monitoring object, builds the karst ground subsidence comprehensive monitoring system, and multiple monitoring means verifies each other, and is complementary to each other, can provide strong support for the early warning forecast work of karst ground subsidence disaster.

The invention discloses ground subsidence net monitoring equipment and a monitoring method, and relates to the technical field of subsidence monitoring. The ground subsidence net monitoring equipment comprises a liquid storage bin, a fixed base plate is arranged at the bottom of the liquid storage bin, a foundation pillar is installed at the bottom of the fixed base plate, a horizontal monitor is arranged above the liquid storage bin, and L-shaped base claws are symmetrically arranged on the periphery of the fixed base plate; the device further comprises a water level monitoring mechanism and a fastening mechanism. According to the design of the scheme, it can be ensured that the foundation of the whole ground subsidence device has extremely high rigidity, stability and anti-interference capacity, connection looseness between the base plate and the ground surface bearing layer can be effectively prevented, and horizontal deviation, sliding or overturning of the whole device caused by external force or geological factors can be fundamentally eradicated; and a crucial basic guarantee is provided for accurate, stable, long-term and reliable land subsidence operation. And the construction efficiency is greatly improved due to the characteristic of rapid fixation.