216 results about "Ground settlement" patented technology

The invention discloses an urban land subsidence analysis method and system based on multi-source data fusion, relates to the technical field of subsidence analysis, and constructs a multi-source three-dimensional monitoring network, performs air-space-ground multi-source data fusion analysis and atmospheric delay error correction, constructs a land subsidence prediction model, and provides an urban land subsidence analysis method and system based on multi-source data fusion. According to the method, a ground surface and underground three-dimensional monitoring network is constructed, the level, layered settlement and underground water data are integrated, minute-level global monitoring is achieved in combination with the Internet of Things, and the method is high in practicability and high in practicability. Through air-sky-ground data fusion and atmospheric correction, monitoring errors are reduced to a millimeter level, an evaluation system combining subjective and objective weights generates a five-level risk map, a visual platform supports dynamic simulation and factor traceability, a whole-process technical closed loop is formed, and the intelligent level of urban settlement prevention and control is remarkably improved.

The invention belongs to the technical field of safety monitoring, and discloses a gas pipe network construction site safety monitoring method and related equipment, and the method comprises the steps: collecting the original inclination angle data of different positions of a construction region in real time through distributed monitoring nodes, and carrying out the filtering processing of the original inclination angle data through a moving average filtering algorithm, the differential settlement value is calculated according to the filtered inclination angle data of the adjacent monitoring nodes, the differential settlement value and the dynamic settlement difference threshold value are compared to determine the settlement risk and give an early warning, real-time monitoring of gas pipe network construction site ground settlement is achieved, and the settlement monitoring accuracy is improved.

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

The invention discloses a ground subsidence monitoring system under the condition of ultra-large water level drawdown, and relates to the technical field of foundation pit dewatering, a seepage field change analysis module arranged on the system can analyze the movement process of underground water in a soil body of a foundation pit wall according to water body state data monitored in real time and in combination with the saturation state and permeability of the soil body, and the seepage field change analysis module can analyze the movement process of underground water in the soil body of the foundation pit wall through the module. The system can automatically perform hierarchical division on the soil body in the foundation pit wall, obtain the spatial and temporal distribution of the water head of each soil layer in the precipitation process, make the subsequent stress analysis and settlement evaluation more accurate, and accurately calculate the effective stress change of the soil body in the precipitation process based on the spatial and temporal distribution of the water head of each soil layer. And the additional stress influence of the settlement of the upper layer soil layer on the lower layer soil layer is analyzed, so that the settlement volume of each layer of soil body is obtained, and the stress and settlement monitoring based on stratified analysis enables the system to carry out detailed evaluation on differential settlement and interlayer stress change, so that the risk of structural instability caused by settlement difference is effectively prevented.

The invention provides a shield tunneling parameter intelligent optimization method and system based on an AI big language model, and relates to the technical field of tunnel construction optimization. Comprising the following steps: training an open source large model to obtain a preliminary shield tunnel construction industry large model; an upstream task and a downstream task which are relatively independent are set, and the upstream task comprises a tunneling speed prediction module, a tool wear prediction module, a ground surface settlement prediction module and a tunneling attitude prediction module; a downstream task combines an RAG technology and an NSGA-III multi-objective optimization framework, four prediction modules and an energy consumption calculation formula serve as objective functions, the value range of constraint conditions is determined, a tunneling parameter optimization module is established, a professional shield tunnel construction industry large model is formed, and scientific and intelligent decision making of tunneling parameters is achieved. According to the method, information in multiple aspects can be comprehensively considered during decision making, the reasoning process is output, and scientificity, comprehensiveness and reliability of decision making are ensured.

The invention discloses a ground surface settlement measurement data real-time fitting method based on an evolutionary algorithm. The method comprises the following steps: S1, acquiring a ground surface settlement measurement data set; s2, preprocessing the ground surface settlement measurement data set; s3, generating a ground surface settlement measurement data feature matrix; s4, constructing a radial basis function neural network model for ground surface settlement measurement data fitting; s5, optimizing parameters of the initial ground surface settlement measurement data fitting function by adopting an alpha evolutionary algorithm; and S6, adopting the optimized ground surface settlement measurement data fitting function to predict the input ground surface settlement measurement data. According to the method, the calculation efficiency, the nonlinear expression capability and the global optimization capability of ground surface settlement measurement data fitting are effectively improved, and the method can be widely applied to multiple scenes of ground surface settlement monitoring, infrastructure safety evaluation and mining area collapse prediction.

The invention discloses a digital twin-driven foundation settlement multi-physics field coupling simulation platform and a use method thereof, relates to the technical field of foundation settlement analysis, and solves the technical problem of settlement prediction deviation accumulation caused by incapability of synchronously updating seepage field and stress field coupling boundary conditions. According to the invention, the twinborn construction unit and the multi-physics coupling solving unit are installed, so that the rapid construction of the digital twinborn of the stratified geologic structure and the multi-physics coupling effect calculation of a stress field, a seepage field and a temperature field of a soil body are realized, and the problem of insufficient precision of traditional single-field simulation is solved; by installing a noise filtering unit and a data standardization unit, elimination of high-frequency interference components of sensor signals and time-space alignment of multi-source data are achieved, the problem that noise interference of geological exploration data is incompatible with heterogeneous formats is solved, and the accuracy and accuracy of foundation settlement analysis are improved. And the reliability of input data and the stability of a simulation result are improved.

The invention relates to an earth surface deformation detection and classification method and system fusing CNN and SBAS-InSAR technologies, and the method comprises the steps: obtaining high-precision deformation data through a small baseline subset and an interference synthesis radar technology (SBAS-InSAR), constructing a CNN classification frame through combining PCA-enhanced optical satellite images, elevation, soil physical parameters, geological landform maps and other multi-source geographic information, and carrying out the detection and classification of the earth surface deformation through the CNN classification frame and the SBAS-InSAR technology. And identification of deformation types such as landslide, settlement and lifting is realized. The process comprises multi-source satellite data acquisition and preprocessing (including InSAR sight velocity decomposition and optical / topographic feature extraction), generation of a preliminary deformation label based on a classification algorithm of a gradient and a deformation velocity threshold, and recognition of a deformation type through a multilayer CNN model. According to the method, the deformation mode is automatically clustered and analyzed in a large-range area, the accuracy and detail performance of deformation type recognition are remarkably improved, the accuracy rate reaches 93%, the method is superior to a traditional method, a stable and extensible tool platform is provided for geological disaster monitoring, and positive risk management of landslide or land subsidence prone areas is assisted.

The invention discloses an urban ground subsidence monitoring and early warning method which comprises the following steps: S1, a split type monitoring system is deployed, an underground probe module is physically isolated from a ground relay station, and the underground probe module comprises a three-mode sensing unit, an edge computing unit, a self-powered system and a wireless communication module; s2, establishing a three-dimensional coordinate system of a monitoring area, calibrating a spatial position relationship of each sensor, and converting data of a displacement meter into vector displacement under the area coordinate system; s3, calculating a settlement risk probability based on a D-S evidence theory, and generating an early warning grade; and S4, determining a final settlement rate threshold value Vth based on the basic threshold value Vbase and the seasonal correction factor kseason, and starting graded early warning response according to the accumulated settlement amount, the displacement sudden change and the inclination angle threshold value. According to the method, the monitoring precision is higher, the settlement recognition accuracy is higher, the threshold value can be dynamically adjusted, and graded early warning is achieved. The invention further discloses an urban land subsidence monitoring and early warning device.

The invention provides a bimodal substation foundation settlement deformation dynamic prediction method and system, and relates to the technical field of foundation settlement, and the method comprises the steps: deploying a bimodal sensing monitoring network on a target substation to collect foundation mechanical deformation data and foundation deformation positioning data; building a foundation deformation data processing channel to carry out preprocessing and weighted fusion on the foundation mechanical deformation data and the foundation deformation positioning data to obtain foundation settlement deformation fusion data; and training a foundation settlement deformation prediction network to dynamically predict the foundation settlement deformation fusion data, determining a foundation settlement deformation prediction quantity, and triggering a settlement abnormity response mechanism based on the foundation settlement deformation prediction quantity to carry out graded response early warning. The technical problems that in the prior art, transformer substation foundation settlement risk identification lags behind, the disposal efficiency is low, and safe and stable operation of a transformer substation is difficult to guarantee can be solved, and the technical effect of guaranteeing long-term safe and stable operation of the transformer substation is achieved.

The invention discloses a salt lake brine mining method and system for hydraulically gradient-driven water replenishing and ore dissolving of a sedimentation funnel, and relates to the technical field of salt lake mineral resource development, the method comprises the following steps: S1, collecting water level data of a sedimentation funnel area, calculating gradient distribution, dividing functional areas, and generating zoning parameters; s2, based on the partition parameters, a water injection well network is arranged in the gradient direction, water injection parameters are determined according to the water level difference, and a well network scheme is generated; s3, based on a well pattern scheme, injecting the proportioning solvent into an ore bed in a layered manner to form a directional seepage field, and generating solute transport data; s4, on the basis of solute transport data, enriched brine is extracted in the collection area, the concentration is monitored, and brine parameters are generated; and S5, based on the deviation between the brine parameter and the target value, calculating the regulation amount, adjusting the injection-production parameter to maintain dynamic balance, and outputting the salt lake brine with the target concentration. By regulating and controlling the hydraulic gradient, the form of the settlement funnel is stabilized, the phenomena of stratum disturbance and ground settlement are reduced, and the ecological risk is reduced.

The invention relates to the field of intelligent analysis, and provides a reclamation area land subsidence high-precision survey monitoring method, which comprises the following steps: carrying out ROI generation and visual multi-scale feature extraction on a first reclamation area image and a second reclamation area image by using an image recognition and analysis algorithm based on machine vision; local neighborhood perception enhancement is carried out on the extracted first reclamation area ROI visual feature description feature and the extracted second reclamation area ROI visual feature description feature; and intelligently obtaining a settlement monitoring result of the settlement height based on visual difference feature representation between the enhanced first enhanced reclamation area ROI visual feature description feature and the enhanced second enhanced reclamation area ROI visual feature description feature. Therefore, the accuracy of reclamation area land subsidence height calculation can be effectively improved.

The invention discloses a land subsidence volume calculation method. The method comprises the following steps: acquiring land subsidence real-time monitoring data; performing spatial analysis on the land subsidence real-time monitoring data to generate a land subsidence amount thematic map; drawing a polygonal region on the land subsidence volume thematic map according to user requirements, and obtaining the land subsidence volume and area of the polygonal region; and calculating the settlement volume in the polygonal region according to the ground settlement volume and the area of the polygonal region, and visually displaying the settlement volume. According to the method, the online mapping of the monitoring data of the land subsidence point is realized at the Web end, so that the real-time monitoring data can be quickly converted into a visual spatial distribution diagram, and a user can quickly understand and analyze the dynamic change of land subsidence. And a land subsidence volume calculation result provides technical support for timely discovering land subsidence abnormity and managing, preventing and controlling geological safety risks of urban operation.

The present invention discloses an integrated online safety monitoring system for salt cavern storage areas, comprising: a data acquisition unit for collecting and converging online monitoring data of the safety of salt cavern storage areas, the monitoring data including safety production risk factor data, micro-earthquakes, wellbore leakage, ground subsidence and natural gas leakage; a data analysis unit for comprehensively analyzing the acquired monitoring data based on a gas storage reservoir risk assessment model to obtain analysis results; a monitoring unit for generating risk warning information in real time based on the analysis results, monitoring the dynamic risk status of the gas storage reservoir, and automatically displaying the generated risk warning information, the risk warning information including a safety risk spatial distribution map. Through the timely generation and monitoring of risk warning information, corresponding measures can be taken to prevent potential safety risks and ensure the safe operation of the gas storage reservoir.

The invention discloses a channel excavation model construction method, and aims to solve the problems of difficulty in mastering geological conditions, frequent back break, low construction efficiency and the like caused by the fact that traditional channel excavation construction depends on experience and lacks accurate model guidance. The method comprises the following steps: firstly, collecting channel geological data covering rock soil layer distribution, landform and other information; cleaning, filtering, de-noising and fusing the data, and establishing a unified database; a three-dimensional channel geologic model is constructed by using professional modeling software and a Kriging interpolation method, and the model is endowed with physical parameters and visualized. Determining excavation boundary and depth according to channel design requirements and the geologic model, and creating an excavation model and fusing the excavation model with the geologic model. The fusion process comprises the steps of data integration preprocessing, space registration and attribute association fusion, and finally, three-dimensional modeling and visualization technology display are carried out. And after the scene model is constructed, different excavation schemes are simulated by using finite element analysis software in combination with a construction scheme and equipment parameters, the geological mass mechanical response, the slope stability and the land subsidence condition are analyzed, and the optimal scheme is selected. During construction, a field sensor is used for collecting data to update the model in real time, and a constructor adjusts an excavation scheme according to the model. The method can improve excavation precision, guarantee construction safety, optimize resource utilization and improve construction efficiency, and is of great significance to navigation channel engineering construction.

The invention discloses a ground surface settlement classification prediction method based on a BP neural network model, and relates to the technical field of foundation pit engineering construction, a foundation pit monitoring technology is a technology used for monitoring parameters such as soil deformation, underground water level and ground surface settlement in foundation pit engineering, and the foundation pit monitoring technology obtains and analyzes data of related parameters in real time. And accurate evaluation on engineering deformation and safety conditions is provided. According to the scheme, ground surface settlement monitoring data including ground surface settlement data of monitoring points and data of related environmental factors are collected and arranged, a data set is divided into a training set and a test set, the training set is used for training and optimizing a BP neural network model, and an optimal network structure and parameter configuration are obtained; and verifying and evaluating the trained model by using a test set, calculating accuracy and performance indexes of classification prediction, performing classification and risk evaluation of ground surface settlement according to a prediction result, and taking corresponding measures to perform engineering management and decision making.

The invention relates to an anchor pier self-adaptive to foundation settlement and a flexible photovoltaic support system, and belongs to the field of new energy photovoltaic, the anchor pier self-adaptive to foundation settlement comprises a base disc, a main body anchor pier, a piston pier and a pull rod, the main body anchor pier is clamped and fixed on the base disc; the piston pier is slidably arranged in the piston pier cavity; the pull rod is arranged in the pull rod channel in a sliding mode, the bottom end of the pull rod is anchored to the piston pier, the top end of the pull rod stretches out of the main anchorage pier, and the end is exposed and used for arranging a flexible inhaul cable led out of the flexible photovoltaic support system. The piston pier and the pull rod can slide relative to the main anchorage pier, so that the position of the exposed end of the top end of the pull rod is kept unchanged, additional pulling force generated by a flexible inhaul cable of the flexible photovoltaic support system cannot be caused, and the upper structure of the flexible photovoltaic support system is prevented from being damaged by pulling.

The invention relates to the field of construction, and provides a forepoling method for a large-section soft rock tunnel to underpass an existing old tunnel in a close range. The forepoling method for the large-section soft rock tunnel to pass through the existing old tunnel in the close-range underneath mode comprises the steps of pipe shed working chamber construction, concrete guide wall construction, super-long and super-large pipe shed construction, pipe shed working chamber section second-layer primary supporting, lower step and inverted arch excavation and primary supporting. According to the forepoling method for the large-section soft rock tunnel to underpass the existing old tunnel in the close range, the stability and the bearing capacity of the excavation face and the surrounding soil body are enhanced, and the influence of excavation operation on the existing line is reduced. Disturbance to a soil body below the existing railway line is reduced, the risks of land subsidence and line deformation caused by construction are reduced, and normal operation of the existing railway line is guaranteed. The structure stability can be enhanced, the construction efficiency is improved, the supporting structure performance is optimized, the influence on the existing line is reduced, and the structure safety in the construction period and the subsequent operation stage is ensured.

The invention discloses a goaf grouting ground surface settlement precise monitoring method, which uses a ground surface deformation precise monitoring method fusing GNSS, InSAR, D-InSAR and SBAS-InSAR technologies, generates an interference image set on the basis of InSAR and D-InSAR, selects a stable coherent target point, solves the phase information of the coherent target point, and obtains the goaf grouting ground surface settlement precise monitoring result. Therefore, information such as ground subsidence rate and time sequence of the coherent target point is obtained. According to the method, satellite remote sensing, a low-altitude unmanned aerial vehicle and a laser LiDAR are fused to assist a ground precision level construction site residual subsidence deformation air-space-ground integrated monitoring technology, efficient acquisition and refined monitoring of construction site ground surface deformation information are realized, a construction site refined model based on the unmanned aerial vehicle and the LiDAR is constructed, and the construction site residual subsidence deformation monitoring method based on the InSAR and the D-InSAR is established based on the InSAR and the D-InSAR. Generating an interference image set; the method is high in monitoring precision, wide in monitoring range, small in weather influence, convenient and easy in monitoring implementation, relatively low in cost, high in safety, fast in data updating and rich in data volume, and can monitor the continuous deformation process of a ground target on a time sequence.

The invention discloses a karst collapse area early warning and monitoring method and system, and relates to the technical field of karst collapse area early warning and monitoring, and the method comprises the steps: 1, karst cave monitoring, 2, ground subsidence monitoring, and 3, karst cave early warning and management. The internal form change index and the external form change index of the karst cave of the tourist attraction are evaluated, the risk of deformation and fracture of the karst cave is reduced, the stability of the cave is improved, then ground collapse is avoided, the collapse risk of the karst cave of the tourist attraction is analyzed, the grade of karst collapse risk areas is divided, and a processing method is matched. Safety warning and protection measures are taken for the karst cave, the problem that tourists cannot be timely and effectively guided in the sightseeing process is solved, the possibility of staying in a dangerous area is avoided, the landform of a collapse area is simulated, the problem that the range of the collapse area is not clear is avoided, and the rescue opportunity is grasped in time.

The invention discloses a building construction quality safety assessment system and method, through a multi-angle shooting mode, key parts of a building construction site are fully covered, missing detection caused by incomplete angles is avoided, the precision of subsequent building construction quality safety assessment is improved, and the coverage of crack and settlement detection areas is very critical. According to the method, the building crack image and the ground subsidence image are recognized by performing edge recognition on the building construction image and processing and analyzing the image, the edge recognition technology is used for extracting the crack in the building image and the subsidence feature in the ground image, the crack and subsidence areas can be effectively distinguished, and the problematic areas are efficiently recognized; clear data support is provided for subsequent quality evaluation; and finally, based on the building crack image and the land subsidence image, processing and analyzing through a pre-trained construction quality safety assessment model, and outputting to obtain a safety assessment score of the current construction site.

The invention discloses a wharf storage yard settlement control method. The method comprises the following steps: S1, planning a monitoring point position in a storage yard, real-time ground settlement volume and settlement volume and pore water pressure of each soil layer at a corresponding position; s2, dividing the storage yard into a plurality of settlement control areas; s3, obtaining historical meteorological data of the storage yard, ground surface settlement volume data in each settlement control area, settlement volume data of each soil layer, pore water pressure and historical loading records, and constructing a storage yard settlement volume prediction model; s4, ground surface settlement prediction values of all the settlement control areas are obtained, and after the ground surface settlement prediction values are compared with the ground surface settlement control values, the settlement control areas to be reinforced are determined; and S5, obtaining a predicted value of the settlement amount of the soil layer in the to-be-reinforced settlement control area, designing a soil layer grouting scheme, and performing grouting enhancement. According to the method, through a dynamic partition monitoring and accurate response technology, the real-time performance and the coverage performance of settlement control of the wharf storage yard are remarkably improved, and the control purpose of accurate grouting of the soil layer is achieved.

The invention, which relates to the technical field of foundation pit deformation monitoring, discloses an automatic foundation pit deformation monitoring and risk assessment system comprising a preset monitoring model generation module, a historical settlement data acquisition module, a settlement data analysis module, a settlement type determination module and a risk early warning module. By determining the span fluctuation interval and the complexity transformation interval, according to the settlement type judgment result and the real-time monitoring data, the settlement span needing to be evaluated and the complexity needing to be evaluated are compared with the comparison interval, the early warning signal of the corresponding grade is rapidly generated, and it is avoided that only deformation of a foundation pit is monitored; the foundation pit deformation monitoring accuracy is further improved, the foundation pit construction safety is further ensured, the risk of safety accidents caused by foundation pit deformation is effectively reduced, and the construction safety and the smooth progress of engineering are ensured.

The invention relates to a manual hole digging pile construction method for a business line. The manual hole digging pile construction method comprises the following steps that physical isolation is conducted on the side adjacent to a railway; the field is leveled, and pile foundation construction lofting is carried out according to the control points; a pile foundation hole is manually excavated in the soil layer to the first depth, and the fabricated retaining wall is hoisted in the pile foundation hole while the hole is excavated; the crawler-type rotary drilling machine is used for continuously drilling downwards in the pile foundation hole with the retaining wall to a second depth; and the multiple sections of reinforcement cages are sequentially hoisted into the pile foundation holes of the first depth and the second depth, then guide pipes are placed, and finally concrete is poured into the pile foundation holes through the guide pipes to form the foundation piles. The pile foundation hole is manually dug in the business line construction area, and the fabricated retaining wall is hoisted in the pile foundation hole while digging the hole, so that the construction disturbance is reduced, the ground subsidence and orifice collapse of the business line construction area are avoided, and the problems that the construction disturbance is large under the condition that the business line cast-in-place pile is close to the business line in the related technology, and the construction efficiency is high are solved. And the ground is easy to sink and the orifice is easy to collapse in the construction range of the business line.

The invention belongs to the technical field of subway deep foundation pit construction in a complex environment, and particularly relates to a subway foundation pit supporting structure optimization design method based on three-dimensional finite element simulation. Comprising the steps that S1, the deformation conditions of a subway deep foundation pit adjacent bridge and the surrounding environment in the excavation stage are monitored; s2, establishing a numerical simulation model of the whole foundation pit excavation process; s3, comparing and verifying a numerical simulation result and an actual measurement result; s4, analyzing the influence of the change of the comprehensive rigidity caused by the change of each parameter on the ground surface settlement; and S5, the supporting structure combination of the excavated subway deep foundation pit is optimized. According to the method, the numerical model of the whole foundation pit excavation process is established and compared with the actually measured data result for verification, and the numerical model can well reflect the influence of subway foundation pit excavation on the surrounding environment and the adjacent bridge in the whole foundation pit excavation process.

The application discloses a filling and paving device for preventing settlement of a factory building foundation, and relates to the field of foundation paving. The device solves the problem that the existing filling and paving device has a large roller size and is difficult to detect and fill local settlement. The device comprises a vehicle body, a storage box, a filling mechanism and a compaction mechanism. The filling mechanism comprises a compaction roller, a conveying screw and a control member. The bottom of the storage box is fixedly connected with a plurality of output grooves. The device controls the ground settlement state of the compaction roller in the rolling sensing area on the ground through the filling mechanism, and controls the output state of the filling material and the rotating speed of the conveying screw in parallel, so that the output rate of the filling material is faster at the position with a larger ground settlement amplitude. The control member controls the lifting of the compaction roller to control the compaction strength. The ground before detection and the ground after filling are compacted respectively through the compaction mechanism, the ground is kept flat, and the strength of the ground after filling is improved.

The utility model discloses a subway tunnel settlement rapid detection device based on a laser radar, belongs to the technical field of ground settlement detection, and solves the problems that an existing device is inconvenient to adjust the measurement position, is inconvenient to directly obtain the result of whether a tunnel settles or not, and is troublesome to use, the subway tunnel settlement rapid detection device comprises a bottom plate, and the top surface of the bottom plate is provided with a rotating plate; a detection assembly is arranged on the bottom plate and the rotating plate, connecting plates are fixedly mounted on the front side and the rear side of the top face of the left end of the bottom plate, a rotating rod is fixedly mounted on the side wall of the mounting groove, and the end, away from the rotating plate, of the rotating rod is rotatably mounted on the side wall of the connecting plate; the distance between the rotating plate and the first laser radar is measured through the first laser radar, meanwhile, the distance between the bottom face of the rotating plate and the second laser radar is measured through the second laser radar, corresponding numerical values are displayed through the first display screen and the second display screen, and if the numerical values displayed by the first display screen and the second display screen are inconsistent, the conclusion that the bottom face of the tunnel is partially settled can be obtained.

The utility model discloses a test device for simulating the influence of aircraft taxiing and landing on foundation settlement, which relates to the technical field of foundation treatment and model test and comprises a trolley, a telescopic smooth guide rail, a thrust device, a vertical telescopic smooth platform, a buffer device, a monitoring sensor, a model runway and a model soil layer. The device creatively integrates a runway model box to reproduce a runway surface structure layer and a pile-net composite foundation, a taxiing landing device is adopted to simulate the taxiing landing process of an aircraft, and braking is achieved through a buffer device. A drainage device is embedded in the device, the sliding trolley is arranged in a front three-point mode to simulate a main landing gear of an airplane, and a 3-degree gliding angle is kept to be close to the real sliding condition. The test device not only considers the transverse impact force of an aircraft, but also performs adaptive design for different tire configurations, and provides a valuable simulation and monitoring means for exploring the dynamic characteristics of aircraft taxiing-landing integration on the pile-net composite foundation.

The invention provides a construction deformation prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of data prediction, and the method comprises the steps: obtaining historical working condition parameters of a subway tunnel construction process; constructing a regularization item related to a sample point feature space; determining a decision tree splitting criterion based on a regularization item, recursively dividing each feature in the sample point feature space into non-overlapping hyperrectangular regions, and constructing a decision tree; calculating a posterior probability distribution parameter of each leaf node in the decision tree based on a Bayesian inference updating rule; defining a structure risk penalty function in combination with the posterior probability distribution parameters to perform post pruning on the decision tree to obtain an optimal decision tree; real-time geological exploration parameters and real-time shield tunneling machine tunneling parameters in the subway tunnel construction process are collected; and real-time geological exploration parameters and real-time shield tunneling machine tunneling parameters are input into the optimal decision tree, and a monitoring point ground settlement prediction interval is output, so that the deformation prediction accuracy under the complex geological condition is effectively improved.

The application discloses a kind of for collapsible loess foundation settlement monitoring device, it is related to foundation settlement monitoring technical field, including base and the reference cylinder being set to base one side, the top of the base is fixedly connected with cover by bolt, the top of the cover is connected with top seat by bolt, the inside of the cover is provided with monitoring rod, the circumference of the monitoring rod is slidably connected with float;The inside of the cover is provided with expansion assembly, the top of the top seat is provided with exhaust assembly, the inside of the base is fixedly connected with circuit board, the circumference outer wall of the base is respectively provided with first docking pipe and plug, one end of the first docking pipe is fixedly connected with connecting pipe.The application effectively avoids the problem of measurement interruption caused by liquid level being too high to exceed the initial monitoring range of float, realizes the dynamic improvement of the monitoring range of the whole settlement monitoring device, meets the monitoring demand of people to collapsible loess foundation settlement.