257 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 is suitable for the technical field of land subsidence prediction, and provides an urban land subsidence space-time fusion depth map model prediction method comprising the following steps: S1, data processing based on space-time characteristic analysis; and step S2, land subsidence prediction of the STF-GCLSTM model based on the grouping strategy. Multi-source data input is adopted, according to spatio-temporal feature extraction of the GCN spatial feature extraction model and the LSTM time feature extraction model, a more accurate settlement prediction value is finally obtained through the spatio-temporal feature fusion prediction model, and settlement feature differences of large and small regions are further considered. According to the method, a research area is divided into a plurality of sub-areas through a grouping strategy, so that the settlement trends of the sub-areas are similar, and then different sub-areas are modeled respectively, so that the fitting error of the model is reduced, and the prediction precision of the model is improved.

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 relates to the technical field of tunnel construction ground building risk assessment, in particular to a tunnel under-crossing building damage prediction and reinforcement method based on structural node angle variables. Comprising the following steps that S1, a free ground settlement curve is obtained according to soil layer data, and a building settlement curve is obtained after correction; s2, calculating the gradient of the settlement curve of the building, and judging whether the building is damaged or not according to the gradient value; s3, calculating a node angle variable of the building structure: calculating a node angle variable of a first layer of the building structure by using a difference value between a rotation angle and a rigid body rotation amount, and calculating node angle variables of the building structure and each layer by using a matrix displacement method layer by layer; and S4, the damage grades of the building structure are divided based on the node angle variables, and the building is reinforced according to the different damage grades. According to the method, possible damage to the building when the tunnel passes through the building can be predicted more accurately, targeted reinforcement measures are provided, and the safety of the ground building is protected.

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 method for reducing basement peripheral pipe piles to resist peripheral soil settlement, and relates to the technical field of buildings, and the method comprises a peripheral soil settlement reducing and resisting mechanism and waste pipe piles; the mechanism for reducing and resisting surrounding soil settlement is composed of a prefabricated concrete pipe, a prefabricated reinforced concrete plate and foundation sand. The ground is recovered by finding piles, filling sand, pressing in the prefabricated concrete pipe, backfilling earthwork to stabilize the prefabricated concrete pipe, plastering, covering the prefabricated concrete pipe with the prefabricated reinforced concrete plate and finally backfilling the earthwork to the ground surface; a mechanism for reducing and resisting surrounding soil settlement is arranged, so that the settlement speed of the ground above the waste pipe pile can be effectively controlled, the settlement speed of the ground above the waste pipe pile is kept consistent with that of the surrounding ground, and ground cracking caused by settlement difference is avoided; the problem that the ground of municipal and garden supporting facilities is prone to damage due to the fact that the settling velocity of the ground above foundation pipe piles of waste tower cranes, people and goods elevators and other structures is inconsistent with that of the surrounding ground is solved.

The invention discloses a method for predicting stratum settlement caused by space curve shield based on curvature radius change, and the method comprises the following steps: S1, building a space rectangular coordinate system, and constructing a space curve shield tunnel calculation model according to the tunneling posture of a shield tunneling machine; the shield tunneling machine enters the abnormal tunneling section from the normal tunneling section, the shield tunneling machine turns right around a new rotating shaft l1 to conduct tunneling with the curvature radius Qyaw, the tunneling distance is converted into the angle of rotating around the new rotating shaft l1 by theta s, and the new rotating shaft l1 is parallel to the z-axis and intersects with the x-axis; s2, a space equation of a new rotating shaft l1 is obtained, and translation processing is conducted on the abnormal tunneling section; and S3, on the basis of three-dimensional space column coordinate transformation, soil body settlement caused by various soil body losses under the condition that the curvature radius is changed can be obtained. The method has the advantages that stratum settlement of the space curve shield caused by curvature radius change is predicted, and reference is provided for actual tunnel 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 discloses a real-time monitoring system for an ultra-shallow excavation tunnel construction process. The real-time monitoring system mainly comprises a data acquisition module, a settlement monitoring module, a building monitoring module, a data fusion and calibration module, a multi-scale analysis module, a self-adaptive early warning threshold adjustment module, a data processing module, an early warning output module and a cloud storage and sharing module. By setting a settlement monitoring point and a building monitoring module, real-time monitoring of ground settlement and ground surface building influence in the tunnel construction process is realized, and the construction safety is improved. By processing and analyzing the collected data, the conditions of land subsidence and building stress displacement can be accurately judged, and a reliable basis is provided for early warning. And the early warning output module outputs the early warning information to the display terminal, so that the constructors can take corresponding countermeasures conveniently, and the construction risk is reduced. The system has the characteristics of intelligence, flexibility, expandability, energy conservation, environmental protection, reliability, simplicity and convenience in operation, remarkable economic benefits and the like.

The utility model discloses a global navigation satellite system (GNSS) displacement monitoring terminal and corner reflector combined system for ground subsidence monitoring, which comprises a global navigation satellite system (GNSS) and a plurality of monitoring point positions, the global navigation satellite system (GNSS) comprises a plurality of satellites, subsidence monitoring components are distributed on the monitoring point positions, and the monitoring point positions are connected with the ground subsidence monitoring components. Each settlement monitoring assembly comprises an InSAR corner reflector and a plurality of GNSS (Global Navigation Satellite System) monitoring terminals arranged around the InSAR corner reflector, and the InSAR corner reflector is matched with the GNSS monitoring terminals. The settlement monitoring assemblies are arranged on the ground to be monitored according to monitoring points, relative position change data and absolute position change data can be obtained through monitoring, the two kinds of data can be conveniently fused for composite analysis of ground settlement monitoring, the change data of the ground to be monitored can be described more accurately and vividly, the data precision and reliability are improved, and the monitoring accuracy is improved. And the monitoring data is obviously enriched.

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 an InSAR (Interferometric Synthetic Aperture Radar) land subsidence periodicity and trend feature extraction method considering spatial heterogeneity. According to the method, long-time-sequence synthetic aperture radar image data is acquired, high-precision monitoring is carried out on land subsidence by using a PS-InSAR technology, on the basis, dimension reduction processing is carried out on deformation information by using principal component analysis (PCA), a combinatorial algorithm integrating spatio-temporal spectral clustering and blind source signal separation ICA is provided, different types of subsidence characteristics are efficiently identified, and the accuracy of land subsidence monitoring is improved. According to the method, the periodic characteristics, the tendency characteristics and the randomness characteristics of different types of land subsidence are extracted, the land subsidence can be analyzed more comprehensively, meticulously and accurately, a more reliable and scientific basis is provided for subsidence monitoring, risk assessment and prevention and treatment decision, and the method has a wide application prospect.

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 method for predicting stratum settlement caused by vertical pitching of a space curve shield, and the method comprises the following steps: S1, building a space rectangular coordinate system, and constructing a space curve shield tunnel calculation model according to the tunneling posture of a shield tunneling machine; the shield tunneling machine enters the abnormal tunneling section from the normal tunneling section and turns right around the new rotating shaft l1 with the curvature radius Q for tunneling, the tunneling distance is converted into the angle formed by rotating around the new rotating shaft l1 by theta s, and a pitch angle beta is formed between the new rotating shaft l1 and the z axis; s2, projection processing is conducted on the excavation face of the shield tunneling machine of the abnormal tunneling section, and the pitching height of the shield tunneling machine is determined; and S3, on the basis of three-dimensional space column coordinate transformation, soil body settlement caused by various soil body losses under the vertical pitching condition can be obtained. The method has the advantages that the stratum settlement caused by vertical pitching of the space curve shield is predicted, and reference is provided for actual tunnel construction.

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.