52 results about "Three dimensional deformation" patented technology

The invention discloses a side slope three-dimensional deformation monitoring and early warning method and system based on a cascade single-line multipoint crack meter. The method and system are suitable for deformation monitoring and landslide state forecasting of a side slope area without macroscopic cracks. The method comprises the steps that a monitoring main line is planned in a potential slip area in the main slip direction, intelligent fusion nodes are arranged on the main line, multi-direction monitoring branch lines are led out, and a tree-shaped monitoring network is formed; two ends of the main line are anchored in a stable area, and tail ends of the branch lines are fixed on a slope; the node devices synchronously collect relative displacement and three-dimensional attitude data in the main line direction and the branch line direction, a three-dimensional deformation field is built in combination with an early warning model, and landslide state study and judgment and threat range prediction are achieved. The system achieves multi-point and multi-direction displacement monitoring through a tree-shaped structure, has the advantages of being wide in coverage, low in cost, flexible in arrangement and the like, and supports early-stage automatic early warning of slope disasters.

The invention relates to a high and steep slope real-time monitoring method and system based on multi-source data fusion and cooperative enhancement. The method comprises the following steps: scanning a slope provided with a corner reflector array by using a synthetic aperture radar (SAR); performing real-time differential correction on data acquired by the radar by taking the corner reflector in the stable region as a reference so as to eliminate common noise; meanwhile, a three-dimensional laser scanner is used for obtaining point cloud data of the slope; coordinate registration and fusion of radar data and point cloud data are realized through the corner reflector array, so that a three-dimensional deformation field of the slope is generated. The method provided by the invention has the advantages of high monitoring precision, high signal-to-noise ratio and good data reliability.

The invention discloses a non-contact measurement system and method for full-field deformation of a fuselage in an airplane crash test, and belongs to the technical field of airplane structure strength testing, and the method comprises the steps: making a high-quality speckle pattern on the surface of the fuselage, and laying cooperation mark points; a binocular camera flexible self-calibration method is used for completing calibration of the stereo measurement system; unification of global coordinates of multiple systems is assisted through unmanned aerial vehicle photogrammetry; a synchronous controller is adopted to trigger multiple sets of systems to synchronously collect images in the falling and collision process; obtaining the motion trail and speed of the key measuring point based on a mark point positioning tracking and stereoscopic vision principle; acquiring a full-field three-dimensional displacement field and a strain field based on a digital image correlation method guided by a control point and a stereoscopic vision principle; and deformation visualization representation is realized through image splicing and data fusion. According to the invention, non-contact, high-precision and full-field dynamic measurement of the three-dimensional deformation field in the falling and collision process of the whole large aircraft is realized, and technical support is provided for analysis and evaluation of falling adaptability of the aircraft structure and verification of anti-falling and anti-collision design.

The invention provides a hydraulic engineering space-time heterogeneous deformation signal decoupling and analysis method, and belongs to the technical field of deformation monitoring, and the method comprises the following steps: collecting Beidou observation data, InSAR images and environment monitoring data; performing data processing on the Beidou observation data and the InSAR image to obtain a three-dimensional deformation result; carrying out data cleaning on the processed Beidou observation data, the processed InSAR image and the processed environment monitoring data; and performing data analysis on the cleaned data, performing space-time decomposition and classification on the high space-time resolution displacement sequence, extracting deformation components with different scales and characteristics, and performing correlation analysis on each deformation component and environment monitoring data to identify and explain a physical driving mechanism of deformation. According to the invention, based on multi-source data such as Beidou observation data, InSAR images and environment monitoring data, superposition features of high temporal-spatial resolution deformation monitoring results are extracted and separated by using an ICA method, and the requirements of hydraulic engineering on accurate identification and classification of deformation features in different modes and corresponding mechanism explanation are met.

The application relates to a kind of body image matching network assisted internal three-dimensional deformation field measurement method, belong to deformation measurement field.The application implementation method is: in reference body image, define calculation region and calculation voxel point;Using three-dimensional body image feature extraction network, key three-dimensional features are extracted simultaneously.Using three-dimensional feature matching network, key three-dimensional features are matched.From matched three-dimensional feature point pair, the feature point pair in the preset three-dimensional neighborhood range around each calculation voxel point is extracted, and the three-dimensional deformation initial value of the calculation voxel point is calculated when more than four groups of feature point pairs are judged;Less than 4 groups are directly assigned using the deformation initial value of other successfully calculated points with the spatial position of the calculation voxel point nearest to the interpolation or, as the three-dimensional deformation initial value of the point.Using three-dimensional reverse combination Gauss-Newton nonlinear iterative optimization method, high-precision internal three-dimensional deformation field measurement value is calculated, that is, internal three-dimensional deformation field measurement is realized.

The application belongs to the technical field of coal mine underground safety production monitoring, and discloses a fully mechanized coal face roof bending deformation multi-modal intelligent identification method and system, which realizes fully mechanized coal face roof deformation monitoring and early warning by fusing two-dimensional images and three-dimensional point cloud data. First, adjacent camera images are spliced to form a roof panorama, and an improved YOLOv8 model is used to identify two-dimensional deformation features such as cracks; simultaneously, the real-time collected point cloud data is processed, stable key points are obtained through information entropy screening and clustering, and the ICP algorithm is used for registration with the reference point cloud to obtain three-dimensional deformation features of the roof; then, the two-dimensional and three-dimensional deformation features are aligned and bidirectionally verified to obtain a fusion result; finally, the result is compared with a preset threshold to trigger a graded early warning. The method and system realize multi-modal accurate perception and safety early warning of the roof state.

The application discloses a three-dimensional deformation inversion and non-uniform deformation evaluation method based on regional pressure disturbance, collects regional scale multi-source data; constructs a two-dimensional pressure field model, simulates a pore pressure change process; constructs a layered vertical deformation calculation model, calculates vertical deformation of each stratum unit under the action of pressure disturbance; constructs a deformation transmission model along the depth direction, maps the vertical deformation to different depth positions, forms a three-dimensional vertical deformation field, and calculates a non-uniform deformation gradient field; compares and verifies the three-dimensional vertical deformation field with surface vertical deformation monitoring data, corrects three-dimensional vertical deformation field model parameters; and carries out engineering application analysis. Through the construction of the regional two-dimensional pressure field model, the layered vertical deformation calculation model and the verification mechanism with the monitoring data, the quantitative inversion of the underground multi-depth vertical deformation and the deformation gradient is realized, and reliable three-dimensional deformation information can be obtained under the historical and future injection-production working conditions, which is used for engineering safety evaluation.

The application discloses a novel transparent soil model test device for simulating pipe-roof tunnel excavation and a test method thereof. The device comprises an excavation power system for pulling a temporary tunnel structure, a model tank, a pipe-roof model, a simulated tunnel structure, an acquisition system for acquiring speckle field dynamic deformation images and an image processing device for obtaining a three-dimensional deformation field of the transparent soil. The model tank is a T-shaped box structure, comprising a test area installed on a base and a connecting area suspended. The simulated tunnel structure is placed in the test area and comprises a hollow temporary tunnel structure with two open ends in an arch shape and a tunnel model in a solid arch shape arranged in the temporary tunnel structure. The pipe-roof model is an arch-shaped pipe row formed by bonding acrylic rods and arranged above the temporary tunnel structure. The application simulates an arch-shaped tunnel structure by an arch-shaped sleeve, can avoid soil disturbance, maintain tunnel section stability and truly restore the actual engineering state of tunnel excavation.

The invention discloses a method for preparing two-dimensional speckles on the surface of a sprayed hollow lattice structure. Belongs to the technical field of optical measurement and surface treatment, and aims to solve the technical problems of poor speckle adhesiveness, low contrast ratio, complex three-dimensional speckle data acquisition and processing and obvious internal structure optical interference caused by existence of pores on the surface of a hollow or transparent lattice structure. The method comprises the following steps: filling and compacting all hollow areas by using sodium chloride particles to form a temporary flat working surface; sequentially spraying a white binder and a black speckle material on the exposed target surface to form a two-dimensional speckle pattern; and finally, removing sodium chloride particles by washing and dissolving. The water solubility, chemical inertness and easy-to-remove characteristics of sodium chloride are utilized, coating permeation is effectively blocked while matrix integrity is guaranteed, three-dimensional deformation measurement is simplified into two-dimensional analysis in combination with periodic symmetry of a lattice structure, speckle quality and data processing efficiency are remarkably improved, and the method is suitable for large-scale popularization and application. The method is suitable for mechanical property testing of lattice structures made of various materials.

The invention discloses a dam three-dimensional deformation monitoring system and method based on fiber bragg grating sensing, and belongs to the technical field of hydraulic structure safety monitoring, and the system comprises fiber bragg grating sensors which are buried in designated positions of a dam body, sense the strain of different positions of the dam body, and obtain the grating wavelength change of each position; the data acquisition and transmission module is used for acquiring strain data of each position of the dam body and sending the strain data to the monitoring center; the data processing and visualization module is used for carrying out calibration, temperature compensation, filtering and analysis processing on the strain data, converting the strain data into displacement data based on an inverse absolute node coordinate method, and generating a three-dimensional visualization image of dam deformation; and the alarm module is used for performing real-time judgment on a threshold value of the dam deformation monitoring data, triggering short message early warning when any deformation amount in the monitoring data exceeds a preset threshold value, and pushing alarm information to a manager. By adopting the system and the method, long-term and real-time monitoring of the three-dimensional deformation of the dam body is realized.

The invention belongs to the technical field of aircraft panel structure sensors, and provides a structural form reconstruction method based on single-dimensional optical fiber sensing and a cascade neural network, and the method comprises the steps: installing an optical fiber grating sensor in a single direction, and recording the position information; according to the central wavelength offset data and the position information, constructing and training a strain field reconstruction neural network to obtain a strain prediction value; performing data enhancement on the strain prediction value; constructing a deflection field reconstruction neural network based on the enhanced feature data in combination with wallboard physical information, and obtaining a deflection prediction value; reconstructing the neural network based on the strain field and the deflection field to construct a cascade neural network and training the cascade neural network; and using the trained cascade neural network to invert the deformation characteristics of the wing panel. According to the method, the sensors only need to be arranged in a single direction, the loss function of the physical law and the cascade neural network are introduced, accurate shape reconstruction of the wing wallboard under the three-dimensional deformation working condition is achieved, and support is provided for wing safety evaluation and self-adaptive regulation and control.

The application discloses a kind of aircraft crash test machine body full-field deformation non-contact measurement system and method, belong to aircraft structure strength test technical field, comprising: high-quality speckle pattern is made on the surface of fuselage and is laid cooperation mark point;Using binocular camera flexible self-calibration method completes stereoscopic measurement system calibration;Through unmanned aerial vehicle photogrammetry auxiliary multi-system global coordinate unification;Synchronous controller triggers multiple systems synchronous acquisition crash process image;Based on mark point positioning tracking and stereovision principle obtains key measuring point motion trajectory and speed;Based on control point guided digital image correlation method and stereovision principle obtain full-field three-dimensional displacement field and strain field;Realize deformation visual representation by image stitching and data fusion.The application realizes the non-contact, high-precision, full-field dynamic measurement of three-dimensional deformation field in the whole machine crash process of large aircraft, provides technical support for aircraft structure crashworthiness analysis and evaluation and anti-crash design verification.

The invention discloses a building deformation monitoring method based on an attention mechanism and cooperative correction, and relates to the technical field of building deformation monitoring. Multi-source time sequence SAR data is taken as a core, a full-process monitoring framework of data preprocessing, feature enhancement and matching, deformation inversion and precision verification is constructed, speckle noise and atmospheric delay influence in an SAR image are eliminated through an innovative preprocessing algorithm, a feature extraction and matching strategy is optimized according to building target features, and a real-time monitoring result is obtained. The accuracy of target identification is improved; the three-dimensional deformation amount of the building is accurately calculated through a time sequence deformation inversion fusion model; and finally, combining the multi-source ground measured data with the quantitative verification index to complete precision verification. According to the building deformation monitoring method based on the attention mechanism and the cooperative correction, the problems that a traditional SAR deformation monitoring method is low in precision and poor in robustness in a complex scene are effectively solved, and high-precision and full-process monitoring of building deformation is achieved.

1. The name of the design product: three-dimensional deformation measurement sensor. 2. The use of the design product: suitable for displacement and strain online measurement of various material deformation and structural deformation, and its small and integrated design greatly improves the usability of visual measurement instruments. High-precision measurement of key mechanical parameters such as three-dimensional displacement, full-field strain, dynamic vibration, fatigue damage and fracture behavior of materials and structures can be achieved. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a kind of three-dimensional deformation field measuring device and measuring method of projectile body in penetration process, it is related to projectile body penetration test technical field, its technical solution key points are: including: light gas gun, for launching solid projectile;Special target store, its lateral wall is equipped with observation window, inside is equipped with target plate and the projectile to be measured fixed on target plate;Three-dimensional digital image acquisition equipment, symmetrically arranged outside observation window, including two high-speed cameras of synchronous trigger, matching lens, high-brightness light source and synchronous trigger;Magnetic speed measuring instrument, set in the tail of the barrel of light gas gun;Data processing equipment is used to receive the image sequence collected by three-dimensional digital image acquisition equipment, based on calibration parameter calculation the three-dimensional displacement field of the surface of the projectile to be measured, full-field strain field and velocity field, visual output deformation evolution process.The application can realize the non-contact, high space-time resolution measurement of three-dimensional dynamic deformation field of projectile body itself in the transient process of projectile body penetrating target plate.

The invention provides a BIM (Building Information Modeling)-based intelligent optimization design method and system for a port berth structure. According to the method, pile diameter, burial depth and inclination angle data of an old pile are extracted, track fitting is carried out on the pile diameter, burial depth and inclination angle data and space offset of a pile body coordinate deviation thermodynamic diagram obtained through three-dimensional laser scanning, and a three-dimensional deformation path model containing historical construction errors is generated; laser ranging devices are arranged at equal intervals along the longitudinal axis of the pile body, and the three-dimensional contour boundary of the fracture risk area is generated based on deformation gradient differences by synchronously scanning the curvature of the exposed surface of the old pile at multiple angles; performing projection overlapping analysis on the three-dimensional deformation path model and a new pile design axis, and establishing a gradient avoidance rule taking a pile diameter multiple as a benchmark; and the axial distribution of the new pile group is adjusted according to the gradient parameters to form a bearing compensation structure which is asymmetrically and crosswise arranged with the three-dimensional contour boundary. According to the method, the space conflict avoidance precision of new and old pile foundations of the port berth and the structure bearing self-compensation capability are improved.

The present application relates to the technical field of tunnel engineering monitoring, and discloses a tunnel deformation real-time monitoring and intelligent early warning management system. The distributed sensing network of the system is arranged on the surface of the tunnel lining, continuously captures three-dimensional deformation data of a plurality of monitoring points and encodes the three-dimensional deformation data into original deformation tensors; an adaptive learning engine receives the original deformation tensors, generates feature-enhanced deformation tensors; a dynamic control core stores a benchmark deformation specification, drives a hydraulic actuator to act, and measures a real-time deformation amount through a laser scanning unit; when the real-time deformation amount deviates from the benchmark specification by more than a dynamic tolerance, a recursive correction process is activated: a deformation residual tensor is calculated based on the feature-enhanced deformation tensor corresponding to the benchmark specification and the deformation tensor corresponding to the real-time deformation amount; the deformation residual tensor is optimized using a gradient descent algorithm to generate a deformation tensor; the optimized deformation tensor is iteratively updated to the benchmark specification, and the control instruction is cyclically executed until the deviation converges within the dynamic tolerance.

This invention relates to the field of steam turbine monitoring and control technology, and discloses an online monitoring method and system for steam turbine rotor thermal deformation. The method includes: setting multiple monitoring nodes; constructing a temperature monitoring array based on all monitoring nodes, with each monitoring node mapped to several auxiliary nodes; collecting real-time temperature data from multiple monitoring nodes on the rotor surface based on the temperature monitoring array, and evaluating the data accuracy in conjunction with the auxiliary nodes; generating a real-time thermal distribution map based on the evaluated real-time temperature data; determining abnormal temperature areas based on the real-time thermal distribution map, extracting abnormal features, calculating the thermal deformation amount of the corresponding area based on the abnormal features, and determining whether to generate an alarm command based on the thermal deformation amount. This improves the accuracy of temperature data, accurately reflects the three-dimensional deformation characteristics of the rotor, and achieves timely alarm and accurate early warning for steam turbine rotor thermal deformation, effectively reducing the risk of safety accidents caused by rotor thermal deformation.

The present application relates to geothermal development, fossil energy development, rock mechanics and the like, and particularly relates to a fracturing fracture dynamic form prediction method based on multiphase medium space replacement and volume conservation constraint. The method obtains geological, logging, seismic and inversion data within the well section range, establishes a formation model and a rock mechanics parameter field, and based on the volume conservation relationship under the limited space condition, calculates the three-dimensional deformation amount field of the rock under the action of external pressure, so as to predict the spatial form and distribution position of the fracture. The method attributes the formation mechanism of the fracture space to the space released by the pore volume, matrix volume, organic matter volume and fluid volume in the pore under pressure, and combines the porosity, rock strength and stress field distribution to realize the accurate description and prediction of the fracture generation position, direction and form. The method provides theoretical support for fracturing design, cluster spacing optimization and proppant placement scheme, and has high engineering application value.

The invention relates to the technical field of structural deformation optical measurement, and discloses a fabricated concrete member joint three-dimensional deformation measurement method and system, and the method comprises the steps: laying visual mark points with non-repeated coding patterns at two sides of a joint; using at least two image acquisition devices arranged at a space angle to synchronously acquire a seam area image; calculating a first three-dimensional coordinate based on the seam area image according to a multi-view vision forward intersection principle; repeatedly collecting and calculating after the load action to obtain a second three-dimensional coordinate; calculating three-dimensional space displacement fields on the two sides of the joint according to the two sets of coordinates; the relative deformation of the joint in the three-dimensional space is analyzed by comparing and analyzing the space vector relation of the displacement field, and the relative deformation comprises the opening amount perpendicular to the joint face, the slippage amount parallel to the joint face and the displacement amount perpendicular to the joint face. According to the invention, non-contact, full-field and high-precision measurement of the three-dimensional deformation of the joint is realized, and engineering parameters for evaluating the connection performance can be directly output.

A system and method for synthetic aperture radar (SAR) based three-dimensional (3D) deformation measurement is provided herein. The synthetic aperture radar (SAR) system includes a SAR computer system for three dimensional (3D) deformation monitoring having a 3D acquisition planner module that receives any one or more of multi-sensor characteristic data, target requirements data, and ancillary datasets, to generate an observation plan, a data acquisition module that transmits the observation plan to trigger the acquisition of SAR data from at least one SAR satellite, and an integration processing module that computes 3D surface displacement measurements from the SAR data to measure 3D deformation.

The invention provides an AI proxy model parameter rapid inversion method and system based on deep learning, and relates to the crossing field of artificial intelligence and hydraulic engineering parameter inversion. The method comprises the following steps: S1, generating a multi-material partition parameter combination, and generating multi-source heterogeneous data in combination with finite element simulation and actual measurement data; s2, inputting multi-source heterogeneous data, extracting spatial distribution features of a three-dimensional deformation field by using a lightweight 3D CNN, extracting deformation time sequence dynamic features by using an LSTM and an attention mechanism, and generating a space-time fusion feature vector; s3, introducing a physical constraint and a boundary condition constraint based on a Lame-Navier equilibrium equation, and constructing a total loss function; s4, training an agent model by adopting the space-time fusion feature vector; s5, performing global exploration and local development of a parameter space by adopting a Bayesian optimization-particle swarm hybrid algorithm, realizing rapid prediction and inversion in combination with the proxy model, and outputting optimal material parameters; rapid prediction and inversion are realized, the inversion efficiency is improved, and the inversion precision and credibility are improved.

The application relates to a super-long blade deformation analysis method based on finite element simulation and belongs to the technical field of finite element product state simulation analysis, and solves the technical problem that the three-dimensional deformation analysis of the existing finite element analysis method cannot consider high precision, strong robustness and engineering practicability. The method steps are as follows: a finite element model of a fan super-long blade before deformation is established; a reference line of the fan super-long blade before deformation is determined; the fan super-long blade before deformation is discretized into a plurality of sectional blades on the reference line; based on modal analysis of the finite element model and local strain information of the fan super-long blade, the curvature of the reference line of the fan super-long blade after deformation is obtained; based on the curvature of the reference line, the position vector of each sectional blade after deformation is obtained; and the blade deformation vector is obtained according to the position vector of the blade after deformation and the position vector of the blade before deformation.

The application discloses a kind of based on cascading single line multipoint crack meter's side slope three-dimensional deformation monitoring and early warning method and system, it is suitable for the deformation monitoring and landslide state prediction of the side slope area that has not produced macroscopic crack.Method includes: in potential slip area, along the main slip direction, planning monitoring main line, intelligent fusion node is set on main line and leads out multidirectional monitoring branch line, forms tree-shaped monitoring network;Main line is anchored in stable area at both ends, and branch line end is fixed in slope body;Node device synchronously collects the relative displacement and three-dimensional attitude data of main line and branch line direction, constructs three-dimensional deformation field in combination with early warning model, realizes landslide state research and threat range prediction.System realizes multidirectional displacement monitoring by tree structure, with wide coverage, low cost, flexible layout and other advantages, support early automatic warning of side slope disaster.

The application is an elongated marine structure deformation monitoring method based on a moving boundary virtual extension, and belongs to the technical field of marine engineering structure monitoring based on computer data processing; aiming at the problem of curvature extrapolation instability caused by dynamic disturbance of the structure end, the application constructs a virtual extension boundary at the structure end, establishes a parameterized constraint model with the extension length and the curvature adjustment coefficient as variables, and determines the optimal virtual boundary geometric form with the minimum reconstruction error minimization as the target; the entity and the virtual boundary are spliced into a global analysis domain, and the three-dimensional deformation curve of the central axis is reconstructed based on sparse strain data. The application converts the structure end moving boundary problem into an optimal curvature constraint, effectively suppresses the curvature mutation and error accumulation, and significantly improves the accuracy and stability of the structure deformation reconstruction under the weak constraint condition of the end.

The application discloses a kind of full-field dynamic three-dimensional deformation measurement method and system based on polarization multiplexing, by the polarization state of object light and reference light is adjusted to circularly polarized light and 45 ° linearly polarized light respectively, polarization CCD is used, the synchronous recording of speckle field and speckle interference phase shift field before and after the three-dimensional deformation of measured object occurs is realized.The speckle interference phase shift map recorded by the pixel of polarization direction 0 and 90 on polarization CCD is used to restore off-plane deformation, and the speckle map recorded by the pixel of polarization direction 135 is used to carry out DIC calculation and restore in-plane deformation.The problems that direct speckle map and interference phase shift map cannot be recorded synchronously and dynamic measurement demand is not easy to meet in the related technology of three-dimensional deformation dynamic measurement combining DSPI and DIC are solved.

The invention provides a BIM-based foundation pit deformation monitoring method, and belongs to the field of building information processing. The method comprises the steps of obtaining a BIM model of a target foundation pit, introducing a spatial topological relation into the BIM model, performing semantic enhancement processing according to an introduction result, and constructing a deformation analysis model; executing multi-source monitoring interaction of the target foundation pit, establishing a multi-source monitoring data set, and mapping the multi-source monitoring data set to the deformation analysis model according to the spatial position; performing spatial reconstruction processing on the mapped multi-source monitoring data, and converting the multi-source monitoring data into a continuous three-dimensional deformation field; deformation characteristic parameters representing foundation pit structure response characteristics are extracted, deformation mode recognition is executed, and a judgment result is output; the judgment result serves as first input, the continuous three-dimensional deformation field serves as second input, time sequence evolution trend prediction of deformation of the target foundation pit is executed, a prediction monitoring result is established, and the comprehensiveness and early warning timeliness of foundation pit deformation monitoring are improved.

The invention relates to a machine vision detection method for helical gear wear. The method comprises the following steps: step 1, image acquisition: acquiring a gear image; the main direction of the tooth surface is detected in real time through Hough transformation, a direction-adjustable Gabor filter bank is constructed, dynamic deformation of the gear is compensated, and relevant abrasion characteristics are highlighted; step 3, multi-resolution feature decoupling is carried out; 4, physical field constraint deep learning: inputting the enhanced image and strain field data into ResNet-101, and outputting a wear probability thermodynamic diagram; 5, dynamic deformation sensing registration: calculating three-dimensional deformation, using the three-dimensional deformation as a rigid constraint term of an ICP algorithm to compensate dynamic deformation, and carrying out point cloud adaptive alignment registration; 6, working condition self-adaptive decision making: calculating the membership degree of the current working condition, calculating a dynamic threshold value, and combining a probability graph threshold value, a physical field residual error and a deformation abnormal value to carry out comprehensive decision making; and step 7, health state evaluation and early warning: calculating an abrasion index.

This invention relates to a radar line-of-sight deformation calculation method based on BeiDou high-precision positioning technology, comprising: acquiring the three-dimensional coordinates of a radar station and the three-dimensional coordinates of a monitoring point; determining the line-of-sight direction vector based on the three-dimensional coordinates of the radar station and the monitoring point; setting the principal deformation direction of the monitoring point; obtaining a scalar displacement based on the line-of-sight direction vector and the principal deformation direction of the monitoring point using the constraint equation between line-of-sight deformation and three-dimensional displacement; and obtaining the three-dimensional displacement components based on the scalar displacement. This invention fully utilizes the high-precision positioning advantages of my country's BeiDou satellite navigation system and combines it with the remote sensing monitoring capabilities of ground-based radar to form a low-cost, high-precision, and easily scalable three-dimensional deformation monitoring technology solution, possessing significant engineering application value and industrialization prospects.

The application discloses a kind of automatic monitoring method, system and storage medium for reconstruction and expansion slope construction, method includes: in reconstruction and expansion slope monitoring section, array type displacement meter is laid out, biaxial tiltmeter is installed at anchor rod grid beam, multi-dimensional sensing unit is integrally laid with wireless transmission module, and deep displacement and structure body inclination data are automatically collected and wirelessly uploaded to cloud platform storage.Globally global coordinate unified conversion is carried out to discrete data, three-dimensional deformation surface is constructed by minimum curvature surface fitting, and full-field continuous displacement field is inverted to eliminate spatial mapping deviation.Combined with the characteristics of new and old rock-soil layering and zoning, the interlayer interface shear transfer function is established, the correction stiffness matrix is assembled, and the heterogeneous overall mechanical analysis model is constructed.The cloud platform substitutes displacement field to solve layered and structure body displacement, draws relevant curve and determines the stability of slope in combination with monitoring standard.