109 results about "Three dimensional deformation" patented technology

The invention relates to the technical field of data processing, in particular to a multi-source data fusion side slope safety monitoring method, which comprises the following steps: acquiring a side slope surface three-dimensional model generated by three-dimensional laser scanning and a two-dimensional radar deformation cloud picture acquired by a side slope radar; extracting a cloud picture space feature vector through an encoder of the self-supervised deep learning model, and outputting three-dimensional heat map coordinate data through a decoder; screening topographic feature points of slope shoulders, scarps and crack areas from the vertexes of the triangular mesh based on a topographic curvature threshold; matching the three-dimensional heat map feature points with topographic feature points, and mapping to a three-dimensional model coordinate system through affine transformation to generate a dynamic three-dimensional deformation heat map with a timestamp; comparing each timestamp displacement value to calculate a displacement variation; and marking a displacement over-limit region on the three-dimensional model by using a color gradient and outputting a three-dimensional visualization result. According to the method, mapping from the two-dimensional deformation data to the three-dimensional space is realized, the positioning fuzziness of an existing two-dimensional cloud picture is eliminated, and the slope deformation position identification precision is improved.

The invention discloses a high and steep slope deformation monitoring method combining an xLSTM-Attention time sequence prediction model and a large language model. The method comprises the following steps: 1) constructing a time sequence prediction model based on xLSTM and an attention mechanism; 2) setting a plurality of side slope monitoring points on the side slope to be detected, acquiring three-dimensional deformation time sequence data of the side slope monitoring points in the T time period, and performing feature extraction to obtain statistical features; inputting the three-dimensional deformation time sequence data in the T time period into a slope deformation monitoring model to obtain a deformation prediction result in a future T'time period; 3) extracting an important hysteresis feature Top-KLags of the slope deformation monitoring model to form a standardized natural language prompt template; 4) calling a pre-training language model with engineering understanding ability, and performing field fine tuning; and 5) inputting the standardized natural language prompt template into the pre-training language model after field fine tuning to obtain a slope deformation safety risk assessment report. According to the invention, efficient deformation prediction and risk analysis can be realized.

The invention relates to the technical field of three-dimensional modeling, in particular to a three-dimensional modeling adjustment method driven by point cloud data. The method comprises the following steps: obtaining three-dimensional point cloud data of an electric power facility area, and carrying out point cloud sample reduction repair processing and electric power part semantic segmentation to obtain electric power facility part semantic tags; performing electric power component geometric analysis based on the electric power facility component semantic tag to obtain electric power facility component geometric features; based on the electric power facility component semantic tags and the electric power facility component geometric features, electric power component topological connection and point cloud three-dimensional modeling are carried out, and an electric power facility area three-dimensional point cloud model is generated; obtaining an electric power facility regional BIM design model and performing point cloud-BIM alignment evaluation to generate an electric power facility three-dimensional alignment deviation matrix; and constructing a corresponding electric power facility three-dimensional deformation field and carrying out three-dimensional deformation constraint adjustment so as to generate an electric power facility area three-dimensional deformation reconstruction model. According to the invention, automatic optimization and adjustment of the three-dimensional modeling process can be realized.

The invention discloses a civil engineering foundation pit deformation monitoring system based on image analysis, and relates to the technical field of foundation pit deformation monitoring, and the system collects and enhances a multi-modal image, eliminates interference, corrects image distortion, tracks key points, constructs a panoramic image, generates a point cloud, extracts deformation features, and constructs a deformation map. The method comprises the following steps: identifying a construction disturbance event, constructing a deformation chain and performing causal reasoning, identifying a high-risk area, predicting a deformation trend and outputting an early warning, displaying a monitoring result, collecting user feedback and synchronizing system data. A deformation track is accurately extracted through image correction and key point tracking, a three-dimensional deformation map is constructed in combination with point cloud modeling, causal analysis is carried out based on construction disturbance and a deformation path, a high-risk area is predicted and identified by using a time sequence trend, an early warning is given out, user feedback collection and result synchronization are supported, and monitoring intelligence and response efficiency are improved.

The invention belongs to the technical field of coal mine underground safety production monitoring, and discloses a multi-mode intelligent identification method and system for bending deformation of a fully-mechanized face top plate, and deformation monitoring and early warning of the fully-mechanized face top plate are achieved by fusing two-dimensional images and three-dimensional point cloud data. The method comprises the following steps: firstly, splicing images of adjacent cameras to form a roof panorama, and identifying two-dimensional deformation characteristics such as cracks through an improved YOLOv8 model; synchronously processing point cloud data acquired in real time, obtaining stable key points through information entropy screening and clustering, and then performing cloud registration with the reference point by using an ICP algorithm to obtain three-dimensional deformation characteristics of the roof; then, performing alignment and bidirectional verification on the two-dimensional and three-dimensional deformation features to obtain a fusion result; finally, the result is compared with a preset threshold value, and grading early warning is triggered. According to the method and the system, multi-mode accurate sensing and safety early warning of the roof state are realized.

The invention discloses a wind power blade section three-dimensional deformation measuring device and method based on a multi-vision measuring system. According to the method, a composite portal frame with a sunshade is built, industrial cameras are arranged, characteristic lines are drawn on a blade monitoring section, and a regular icosahedron coding marking device is used for completing multi-camera collaborative calibration; a blade static reference image and a full-load swing dynamic frame image are synchronously collected, a three-dimensional section feature line is reconstructed through feature point processing, and then the three-dimensional radial coordinate difference and the circumferential deformation gradient are calculated through a registration algorithm. According to the scheme, high-precision layered extraction of dynamic deformation of the asymmetric profile of the blade section can be achieved, non-intrusive measurement breaks through internal structure limitation and eliminates swing interference, the design of the regular icosahedron coding marking device and the composite portal frame improves calibration precision and system suitability, and reliable data support is provided for related evaluation of the blade.

The invention discloses a dam bank slope deformation trend early warning and troubleshooting method and system and an early warning device. The method comprises the steps of obtaining multi-stage SAR images of a target dam bank slope, constructing a three-dimensional deformation field, extracting a deformation gradient abnormal zone, identifying convex and concave deformation zones and forming a characteristic spectrum; the method comprises the following steps: acquiring geology, hydrology and environment multi-source signals in space-time matching, and constructing a deformation-signal incidence matrix through a dynamic time warping algorithm; mechanism early warning models are established for the deformation areas respectively, risk areas are output, and hidden danger inducements are traced based on an incidence matrix; the system comprises an image processing unit, a deformation analysis unit, a signal acquisition unit, a correlation construction unit, an early warning operation unit and a hidden danger tracing unit, and full-process automatic linkage is realized. The early warning device comprises a collector, a processor, a memory and an early warning device, and guarantees data collection, operation storage and early warning output. The method realizes deformation fine identification, risk accurate early warning and hidden danger tracing, and is suitable for long-term stability monitoring of various dam bank slopes.

The invention belongs to the technical field of mining engineering, discloses a mining roadway non-uniform three-dimensional deformation grading calculation and analysis method, and aims to solve the problems that a traditional point cloud comparison method is low in precision and large in error in a roadway high-deformation and non-uniform-deformation environment, and traditional monitoring wiring is complex and cannot achieve global coverage. According to the technical key points, in a GNSS-free underground environment, a portable three-dimensional laser scanning device integrating SLAM synchronous positioning and a map construction technology is adopted to collect two-stage roadway point cloud data, a centimeter-level precision three-dimensional model is constructed through a pose map optimization algorithm, a two-stage deformation hierarchical optimization algorithm is designed, and a two-stage deformation hierarchical optimization algorithm is designed. In the first stage, a deformation core point is selected based on super voxel segmentation, rough calculation is performed in a cylindrical projection space, and a key deformation area is rapidly identified, and in the second stage, a refined displacement amount is calculated for a point whose displacement exceeds a threshold value through geometric constraint and a centroid method, and the data quality is improved in combination with point cloud denoising, so that high-precision continuous monitoring of the full section of the roadway is realized.

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 provides an underwater robot intelligent inspection method based on adaptive flexible net cage deformation prediction, and the method comprises the steps: collecting multi-source heterogeneous environment data around a net cage in real time, and carrying out the preprocessing of time synchronization, denoising, normalization and the like; predicting the three-dimensional deformation attitude and uncertainty of the net cage on the basis of introducing a self-adaptive ConvLSTM model of'intelligent fusion priori knowledge 'and'channel attention', and constructing a safety potential site map; an improved A * algorithm and a TSP algorithm are utilized to generate a global optimal safety path which can completely traverse the whole three-dimensional deformation net wall and has the lowest total cost; the global optimal safety path is sent to the underwater robot for execution, and errors are corrected in real time in the execution process until inspection is completed; according to the method, the adaptability of the underwater robot to dynamic, flexible and uncertain environments can be improved, and full-coverage, high-precision and high-reliability automatic inspection of the underwater robot in a complex dynamic marine environment is realized.

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 method for compensating influence of net rack deformation on inner profile precision, and belongs to the technical field of wind tunnel body inner profile construction. A minimum dominating set algorithm is adopted to optimize sensor layout to construct a three-dimensional deformation monitoring network, and a pre-arching compensation optimization function is used to calculate a preset elevation compensation value; in the net rack splicing process, splicing errors are corrected in real time through a structural deformation self-adaptive compensation model, displacement synchronization in the lifting process is ensured through a synchronous hydraulic lifting system and a lifting deformation control algorithm, and after a net rack is in place, the actual geometrical shape of an inner molded surface is obtained through a three-dimensional laser scanning technology. According to the deviation value, comprehensive compensation measures of supporting jig frame elevation adjustment, temporary supporting structure arrangement, follow-up construction load distribution control and net rack node position fine adjustment are adopted for deformation compensation, and the technical problem that due to net rack deformation, the geometric accuracy of the inner profile of the lower hanging cast-in-place slab is difficult to control is solved.

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 invention provides an underwater structure surface three-dimensional deformation measurement method under explosion impact based on a combination of a single high-speed camera and a beam splitter prism, and the method comprises the steps: S1, taking the beam splitter prism as an observation window of a waterproof cylinder, and packaging the high-speed camera into the waterproof cylinder to form an underwater integrated optical three-dimensional imaging system; s2, a blue light stroboscopic light source is adopted for illumination, and a blue light narrow-band filter is added in front of the camera for filtering; s3, making a random speckle field on the surface of the measured object, and increasing gray information of the surface of the structure; s4, recording a sequence deformation image of the structure surface speckle field under the explosion impact by using an underwater integrated optical three-dimensional imaging system, and segmenting the image into a left sequence image and a right sequence image along a center line; s5, respectively carrying out sub-pixel time sequence matching on the left sequence image and the right sequence image; and S6, establishing a mapping relation between pixel coordinates of points in the image and refracted rays in the space, and performing three-dimensional reconstruction and three-dimensional deformation calculation of three-dimensional points according to intersection of left and right rays in the space.

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 present application belongs to the technical field of material deformation test, and discloses a method and system for real-time synchronous measurement of full-field three-dimensional deformation field and temperature field based on fluorescence speckle. The method comprises the following steps: S1, calibrating the curve relationship between the gray scale ratio and the temperature; S2, obtaining the matching points of each to-be-measured point in the reference image under each angle in the deformation image at all time instants, and the matching points of each point in the images of different angles at the same time instant; and S3, calculating the three-dimensional deformation field and the temperature field of the surface of the to-be-measured sample at each time instant. The present application also discloses a system for the above method. Through the present application, the synchronous three-dimensional measurement of the deformation field and the temperature field of the surface of a component is realized, the temperature measurement range is wider, the cost is lower, and the operation is simple.

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 application discloses a kind of component three-dimensional deformation field information acquisition method and device, belong to material manufacturing test technical field, the component three-dimensional deformation field information acquisition method includes: from different visual angle obtains the deformation process data of the component to be measured carrying speckle pattern, to extract each visual angle corresponding local deformation data, and it is spliced to obtain initial splicing result;Judgment whether there is overlapping part in the initial splicing result;If there is overlapping part then the initial splicing result is iteratively optimized, until the optimal rigid transformation matrix between each local deformation data is found, and the current optimized splicing result is used as fine splicing result;The continuity check is carried out to the fine splicing result;The fine splicing result that passes check is homogenized, to obtain the three-dimensional deformation field information of the component to be measured;The application can greatly improve the precision of three-dimensional deformation field information acquisition, reduce error.

This invention discloses a power device for penetrating probes and a three-dimensional deformation field testing device for soil, in the field of indoor calibration device technology. It includes a velocimeter, a launch tube, and an adapter connected sequentially along the same axis. A first solenoid valve, a small air chamber, a second solenoid valve, and an air source are sequentially connected to the side of the adapter. A pressure sensor for detecting the air pressure inside the air chamber is also installed on the air chamber. A loading port for loading the penetrating probe into the launch tube is provided on the side of the adapter away from the launch tube, and a plug for sealing the loading port is connected to the loading port. A loading fixing component for fixing the penetrating probe is provided inside the adapter or the launch tube to prevent the penetrating probe from falling freely during loading. This invention can reduce the minimum pressure change inside the air chamber, allowing the incident velocity of the penetrating probe to vary within a small range, accurately simulating the different velocities of the penetrating probe entering the soil tank under actual conditions.

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 application provides a kind of impact hydraulic bulging branch pipe rebound measurement and control method, comprising S1 positioning installation mould, install pipe in mould, and set the best bulging parameter according to the characteristics of pipe and historical experimental data;S2 parameter setting is carried out based on XTDIC system measurement software, monitors the three-dimensional deformation of pipe in the bulging process;S3 marks the three-dimensional coordinates and coordinate displacement of key point position of bulging site;Real-time transmission displacement data to PLC program, obtains rebound displacement and its direction;PID control logic is constructed, and the amount of material supplement of punch is adjusted.The application uses PID control algorithm, according to the calculated error, continuously obtains the actual bulging value in the control cycle, generates control signal, adjusts the amount of material supplement, realizes accurate control rebound, ensures the forming quality of pipe, and the whole process depends on experiment and experience to optimize PID parameter, achieves the best control effect.

Embodiments of the present application disclose a 3D printing deformation visualization model construction method, device, medium and equipment, and relate to the technical field of additive manufacturing. The method comprises: obtaining a deformation amount of each single layer according to a melt pool size of a single layer slice of a target part in a 3D printing process; adding the deformation amount of each single layer to a slice track model to obtain a plurality of deformation slice layers; and reconstructing the plurality of deformation slice layers to obtain a three-dimensional deformation model of the target part. The melt pool width of the part in the 3D printing process is mapped to the deformation amount of the part, and the deformation is decomposed to the three-axis direction of each slice layer according to the printing characteristics. By obtaining the real-time melt pool width change in printing, the change can be converted into the deformation of the part and added to the slice track model. Since the deformation is decomposed to each slice layer, the slice layer to which the deformation information is added needs to be reconstructed finally, and the visualization three-dimensional model of the deformed part can be obtained, so that the overall deformation of the part is displayed, and the prediction and control of the deformation amount in 3D printing can be further improved.

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 discloses a sensing pad, a sensing device and a monitoring method for monitoring roadbed deformation. The sensing pad comprises a rigid supporting layer, a micro air gap isolation layer, a gradient stiffness composite matrix and a flexible protection layer which are sequentially arranged from bottom to top. The gradient stiffness composite matrix comprises a plurality of fiber reinforced material layers, and the elastic modulus of each fiber reinforced material layer is increased layer by layer from top to bottom, so that disturbance to a roadbed structure when the sensing pad is laid is reduced, and strain transmission in the sensing pad in a working state is amplified; optical fiber longitudinal and transverse grids are distributed in the gradient stiffness composite matrix; the sensing pad further comprises a multi-mode optical fiber sensing unit; the multi-mode optical fiber sensing unit is embedded in the gradient stiffness composite matrix along the optical fiber longitudinal and transverse grids and used for measuring parameters related to roadbed deformation. The device has the advantages of small device structure disturbance, high coupling reliability and abundant monitoring parameters, and is suitable for three-dimensional deformation long-term monitoring of the roadbed.

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 relates to a form element (1), an arrangement comprising such a form element (1) and a method for forming at least part of a formwork for a concrete part using this form element (1), wherein the form element (1) is flexibly three-dimensionally deformable in its first state, and wherein the form element (1) is stiffened and solidified in its second state, in particular in a deformed position of the form element (1), wherein the form element (1) comprises at least two flexible layers (2), which are arranged superimposed in a planar manner, and wherein the layers (2) are connected to each other, in particular reversibly, in the second state to solidify the form element (1).