1211 results about "Three dimensional imaging" patented technology

The invention discloses a reservoir bank slope geological disaster risk identification method based on an unmanned aerial vehicle laser radar, and relates to the technical field of reservoir bank slope prevention and control, an unmanned aerial vehicle is used for carrying laser radar equipment, flight scanning is carried out on a reservoir bank slope area, and three-dimensional point cloud data is obtained. According to the reservoir bank slope identification method based on the unmanned aerial vehicle laser radar detection data, high-precision terrain and geological information of the reservoir bank slope is rapidly acquired in a non-contact manner by using the three-dimensional imaging capability of the unmanned aerial vehicle laser radar technology, so that the data acquisition efficiency and safety are greatly improved; the method also remarkably improves the precision and integrity of data, accurately captures key topographic factors such as topographic relief, gradient, slope direction and the like through laser radar scanning, and provides a solid foundation for the accurate recognition of bank slope types in combination with geological factors such as geological structures, lithology and the like, so that the prediction and evaluation of bank slope disasters are more accurate. Preventive measures can be taken in advance, and disaster risks are reduced.

The invention belongs to the technical field of three-dimensional imaging and measurement, and particularly discloses a laser scanning three-dimensional imaging method and device, a medium and equipment, and the method comprises the steps: obtaining laser scanning data of a target object, and the laser scanning data comprises depth data including reflection intensity, a scanning angle, a timestamp and flight time; preprocessing the laser scanning data, and fusing a time sequence and scanning path information to obtain multi-channel input features adaptive to a neural network; constructing a three-dimensional geometric reconstruction model, and training the model; inputting the multi-channel input features into a trained three-dimensional geometric reconstruction model to obtain a dual-channel output tensor containing a dense depth map of the target object and a corresponding uncertainty map; converting the dual-channel output tensor comprising the dense depth map of the target object and the corresponding uncertainty map into a three-dimensional point cloud under world coordinates; and post-processing the three-dimensional point cloud to obtain a three-dimensional image of the target object.

The invention relates to the technical field of three-dimensional imaging, and discloses a high-precision underwater structured light three-dimensional point cloud imaging method and system, and the method comprises the following steps: deploying a plurality of sensor nodes, monitoring the temperature, salinity and turbidity key parameters of a water body in real time, selecting proper light source wavelength and power according to the collected data, and carrying out the three-dimensional point cloud imaging of the underwater structured light. It is ensured that the optimal signal-to-noise ratio is obtained under the current condition, and meanwhile the exposure time and gain setting of the camera are initialized. According to the method, the optimal signal-to-noise ratio is obtained by monitoring water body conditions in real time and dynamically adjusting light source characteristics, the optimal structured light pattern is predicted by using a machine learning model, scattering noise is removed, advanced registration and fusion algorithms and an accurate phase unwrapping method are applied, and a high-quality comprehensive structured light pattern is generated. Point cloud gaps are filled through a geometric correction algorithm and an interpolation / filtering algorithm, so that a reconstruction model is closer to the surface of a real object.

The invention relates to a fire prevention and control smart network method and system based on Beidou satellite navigation. The method comprises the following steps: firstly, acquiring real-time operation data of fire-fighting equipment in a building, and scanning a building structure through a three-dimensional imaging device to generate a three-dimensional digital model; secondly, fusing the real-time operation data, the three-dimensional digital model and preset environment parameters to form a fire prevention and control reference data set; thirdly, carrying out multi-dimensional data comparison on the reference data set based on a preset fire-fighting standard program, and generating an alarm signal with spatial positioning information; then, determining a fire-fighting facility failure area according to the alarm signal, and calculating a fire risk diffusion parameter; and finally, generating a grading early warning instruction according to the risk diffusion parameters, and constructing an electronic combat map containing the optimal rescue path. The method provides global and accurate basic data support for fire prevention and control, improves the timeliness and accuracy of early warning, optimizes the rescue path, and improves the fire disposal efficiency.

An in-situ fretting corrosion fatigue testing machine based on synchrotron radiation diffraction and three-dimensional (3D) imaging includes an axial fatigue loading system, a fretting loading system, and a corrosion environment control system, where the axial fatigue loading system includes a driving device, a load control device, and a load sensing device; the load sensing device is configured to measure an axial force and a normal force in real time; the driving device is configured to drive the load control device, thereby achieving axial displacement of the load control device; the load control device is configured to carry out axial fatigue loading of a specimen; and the fretting loading system includes a fretting wear device. The testing machine achieves real-time 3D imaging characterization of wear spot and crack morphology of a material in a fretting corrosion environment, as well as characterization of a residual stress evolution law.

The invention provides a real-time three-dimensional imaging system in a thoracic surgery, and relates to the field of thoracic surgery auxiliary equipment, and the system comprises a multi-modal image collection module which is used for collecting multi-source data of tissues and organs in a thoracic cavity; the data core processor is used for processing and fusing the multi-source data collected by the multi-mode image acquisition module; the three-dimensional reconstruction module is used for generating a dynamically updated submillimeter-level precision three-dimensional model according to the processed and fused multi-source data and marking a dangerous structure and a safety boundary; and the augmented reality navigation module is used for superposing the three-dimensional model on an operation visual field through a holographic head-mounted display, and realizing real-time three-dimensional visual navigation in combination with instrument tracking and a multi-stage early warning mechanism. According to the invention, radiation-free and high-precision real-time three-dimensional visual navigation can be provided, and the precision and safety in the thoracic surgery can be ensured.

The invention discloses a road cavity volume calculation method and device based on a three-dimensional FK migration algorithm, equipment and a medium, and relates to the technical field of road cavity detection, and the method comprises the steps: obtaining three-dimensional ground penetrating radar data, and carrying out the preprocessing of the data, and obtaining target radar data; converting the target radar data to a frequency wavenumber domain to obtain frequency wavenumber domain radar data; establishing a road hierarchical velocity model, and performing hierarchical wave field extrapolation and double weight correction based on the frequency wave number domain radar data and the road hierarchical velocity model to obtain corrected wave field data; performing sparse constraint optimization imaging processing on the corrected wave field data to obtain a target imaging result; and carrying out boundary extraction processing on the target imaging result to obtain a three-dimensional cavity boundary point set, and carrying out voxelization processing based on the three-dimensional cavity boundary point set to obtain a road cavity volume. According to the invention, high-precision restoration of the shape of the road cavity and automatic extraction of the volume can be realized in three-dimensional GPR imaging.

The invention provides a three-dimensional CT imaging method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring two DR images with a vertical relation for a to-be-imaged object, and acquiring three-dimensional coordinate information of the to-be-imaged object; inputting the two DR images with the vertical relation and the three-dimensional coordinate information into a preset three-dimensional volume reconstruction model, and obtaining three-dimensional volume data of the to-be-imaged object; and slicing the three-dimensional volume data to obtain a three-dimensional CT image of the object to be imaged. According to the method, the three-dimensional volume reconstruction speed can be improved on the basis of ensuring the imaging quality, so that the high-quality three-dimensional CT image can be quickly obtained.

The invention discloses a total-space near-far field regulation and control method based on a coherent pixel super-structure surface. The method comprises the following steps: 1) constructing a nano-structure unit and a super-unit; 2) optimizing the structural parameters of the nano-structure unit according to the incident light wavelength lambda, and verifying the regulation and control effects of the super-unit I and the super-unit II; and 3) constructing a nano-structure array, wherein the nano-structure array comprises a plurality of super-units I and super-units II. Left-handed / right-handed circularly polarized light is set to be incident to the surface of the single-layer metastructure, binary nano printing of an image is achieved in a near field, and near-field nano printing intensities in a transmission space and a reflection space are complementary; different holographic patterns are respectively presented in the far-field transflective space, and the far-field transflective channels are regulated and controlled by mutually independent and continuous phases. By properly designing the single-layer nano brick, continuous and independent phase control of reflection and transmission spaces can be realized without additional equipment, far-field holographic imaging and near-field nano printing can be realized, and the single-layer nano brick can be applied to the fields of depth detection, three-dimensional imaging, optical encryption, high-resolution image storage and the like.

The invention discloses a laser energy threshold millisecond-level dynamic matching method for multi-metal fuse manufacturing, and the method comprises the steps: pre-storing a multi-metal thermophysical parameter model, calibrating a thermal signal in real time through Kalman filtering, and carrying out the online correction of a melting threshold key parameter during the switching of a material; millisecond-level thermal feedback closed-loop control is achieved through the high-frame-rate thermal imaging technology, and the laser power accurately follows the corrected melting threshold value; meanwhile, a three-dimensional imaging and deep learning segmentation algorithm is adopted, geometric information of a welding wire and a molten pool is obtained, the position and the diameter of a light spot are adjusted in real time through an adjustable optical system after the offset is calculated, and millimeter-level space registration closed-loop control is achieved; the two closed-loop systems cooperatively operate according to respective control periods, and precise dynamic matching of laser heat input in a time domain and a space domain is achieved. The problem that the adaptability of a traditional process is insufficient during multi-metal switching and complex geometric change is solved, and the forming quality, the process stability and the efficiency of manufacturing are remarkably improved.

The invention discloses a dam termite nest three-dimensional imaging method and system based on a ground penetrating radar, and the method comprises the steps: obtaining the three-dimensional ground penetrating radar data of a target region, and carrying out the data preprocessing, and obtaining the preprocessed three-dimensional ground penetrating radar data; performing feature extraction processing and encryption processing on the preprocessed three-dimensional ground penetrating radar data to obtain a multi-channel radar data body; based on the U-shaped network structure, constructing an ant nest imaging three-dimensional deep learning network model; and performing data imaging processing on the multi-channel radar data volume based on the ant nest imaging three-dimensional deep learning network model to obtain an ant nest imaging result based on the three-dimensional ground penetrating radar. According to the embodiment of the invention, the complex features of the ant nest and the dam structure on the three-dimensional ground penetrating radar image can be more accurately captured, and then the accuracy of ant nest imaging is improved. The method can be widely applied to the technical field of termite nest detection.

The invention relates to the field of traditional Chinese medicine diagnosis, and discloses a traditional Chinese medicine intelligent diagnosis system based on multi-source data fusion and an AI technology, and the system comprises a tongue picture collection and classification unit which is used for collecting tongue picture data of a patient through imaging equipment, carrying out the feature extraction of the tongue picture data, and obtaining a tongue picture feature data set; performing tongue picture pathological mode classification on the tongue picture feature data set based on a deep convolutional neural network to obtain tongue diagnosis identification result data; and the face diagnosis feature correlation analysis unit is used for inputting the tongue diagnosis identification result data into a multi-modal data fusion engine and carrying out face diagnosis pathological feature correlation analysis based on a graph attention network to obtain face diagnosis identification result data. The deep semantic understanding is realized by introducing a plurality of data acquisition modes such as three-dimensional imaging, thermal imaging, micro-expression recognition, spectral information and pulse condition harmonic analysis and combining advanced models such as a graph neural network, U-Net and Bi-LSTM.

The invention provides an underwater target three-dimensional reconstruction method and system based on a three-dimensional imaging sonar image, and the method comprises the steps: collecting the three-dimensional imaging sonar data of an underwater target, segmenting the sonar point cloud data through employing an optimized point cloud segmentation model, and extracting a specific target point cloud; and performing sparse reconstruction and dense reconstruction on the target point cloud in sequence, and finally realizing high-precision three-dimensional reconstruction of the target. The system comprises a data acquisition module, a preprocessing module, a reconstruction algorithm module and a visualization module, and is suitable for underwater target surveying, mapping and monitoring. The invention aims to solve the problem of insufficient reconstruction precision and efficiency of a traditional method in a complex underwater environment.

The invention belongs to the technical field of three-dimensional imaging, and particularly relates to a single-photon point cloud three-dimensional imaging method based on cross-modal feature fusion, and the method specifically comprises a point cloud data preprocessing algorithm which is used for converting single-photon laser radar echo data into a three-dimensional point cloud form, main body target extraction in the complex scene point cloud is realized, and calculation denoising processing is completed; a cross-modal feature fusion point cloud reconstruction network is designed, two-dimensional features are introduced multiple times in the reconstruction process, interaction with three-dimensional point cloud features is established, and incomplete point clouds and real complete point clouds are assisted to construct a mapping relation; a KNN segmentation coordinate filling algorithm is designed, point cloud vacant coordinates are calculated and complemented until the resolution of the point cloud vacant coordinates is matched with a two-dimensional infrared image, and two-dimensional image and three-dimensional point cloud pixel-level fusion imaging is achieved.

The invention provides a multi-base satellite-borne SAR (Synthetic Aperture Radar) three-dimensional imaging method and device, and belongs to the technical field of SAR image three-dimensional imaging. The method comprises the steps of image preprocessing; geocoding and registration are carried out; removing a flat ground effect and a terrain phase; compensating an atmospheric phase error; the invention relates to high-precision tomography SAR three-dimensional imaging. The device comprises an external DEM data acquisition module, a registration module, a simulation module, a compensation module and an imaging module. According to the invention, a high-precision three-dimensional imaging result can be obtained.

The invention discloses a weld defect detection method and device based on multi-data fusion and a medium, and relates to the technical field of data detection.A detection path of a detection robot is generated based on weld data, the detection path of the detection robot is optimized by adopting a dynamic programming algorithm and curvature fitting, and the weld defect is detected based on the optimized detection path. The method comprises the following steps: acquiring target weld joint detection data, preprocessing and fusing to obtain weld joint internal structure feature and surface geometric feature data, and constructing a three-dimensional defect projection model based on the weld joint internal structure feature and surface geometric feature data to identify weld joint defects. A moving path of a detection robot is planned according to a welding seam, so that surface morphology and internal defect information of the welding seam are synchronously acquired, data fusion and defect positioning are performed based on acquired data, three-dimensional imaging is obtained, defect detection of the welding seam is performed based on the three-dimensional imaging, the defect identification precision can be improved, and the reliability and consistency of a detection result are improved. And a more visual detection result is presented.

The invention belongs to the technical field of image processing, and mainly relates to a teenager scoliosis detection method based on three-dimensional imaging, and the method comprises the steps: obtaining multi-modal data such as a back depth map, temperature distribution, an attitude angle and a plantar pressure matrix of a detected person through a depth camera, an infrared imaging device, an I MU sensor and a plantar pressure distribution sensor; the cloud platform generates a three-dimensional point cloud and obtains a back three-dimensional curved surface model by adopting a Poisson surface reconstruction algorithm, overall attitude correction is carried out by combining an attitude angle and pressure gravity center shift, and a thermal correction model of local deformation is constructed based on a thermodynamic diagram; automatically identifying spine segment mark points through a deep learning algorithm, fitting a spine center line, calculating a Cobb angle, judging the scoliosis degree and outputting an analysis report; according to the method, X-ray imaging is not needed, the detection safety is high, attitude, mechanical and thermal information can be fused, artificial attitude interference is reduced, and the method is suitable for early screening and dynamic reexamination of teenagers.

The invention discloses a sensor calibration test system and a calibration test method for UUV intelligent perception, belongs to the technical field of underwater robots, and aims to solve the problems that the capability evaluation of the UUV intelligent perception system is difficult to realize, the credibility, the reliability and the accuracy are poor, and the UUV intelligent perception system cannot be fully matched with the actual application environment and cannot be optimized due to the existing underwater multi-mode comprehensive perception calibration mode. And the development and improvement of the intelligence of the UUV are directly influenced. The sensor calibration test system can simulate various motion modes of the underwater vehicle and the underwater target in navigation, so that a large number of calibration samples are formed, the three-dimensional imaging sonar, the underwater camera and the magnetometer can realize calibration of working parameters based on the underwater acousto-optic magnetic comprehensive beacon arranged on the underwater target, and the calibration precision is improved. After sensor calibration is completed, the system can be used for testing the calibration effect of the sensor, and the number of times and cost of sea test calibration are effectively reduced.

The invention relates to a single-photon laser radar three-dimensional imaging system and method. An optical fiber laser is used for actively illuminating an imaging target; the single-photon APD array detector is used for receiving a laser echo signal reflected by a target; the near-infrared detector is used for realizing aiming; the upper computer is used for parameter setting and data receiving of the optical fiber laser, the single-photon APD array detector and the near-infrared detector, receiving active laser three-dimensional imaging data in a three-dimensional imaging state and realizing real-time display of a depth image and an intensity image; and the information processing board card is used for realizing synchronous triggering of the fiber laser and the single-photon APD array detector and data communication between the upper computer and the fiber laser and the single-photon APD array detector, and realizing preprocessing and three-dimensional reconstruction of APD data based on a time correlation single-photon counting method and in combination with space-time correlation characteristics of laser echo signals. According to the invention, the problem of insufficient detection capability of a single-photon laser three-dimensional imaging method under all-weather and low-signal-to-noise-ratio conditions is solved.

The invention relates to a point cloud-image-based three-dimensional imaging method and system, and belongs to the technical field of optical imaging. Comprising the following steps: inputting an image, and carrying out two-dimensional image instance segmentation on the image to obtain a two-dimensional mask; extracting a point cloud corresponding to the two-dimensional mask from the three-dimensional point cloud data of the image, processing the point cloud and performing three-dimensional modeling to obtain a three-dimensional research target; triangulation is carried out on the three-dimensional research target, and discrete point cloud is converted into a grid structure; projecting the grid structure into a two-dimensional coordinate system, and searching intersection points of edges of triangles in the grid structure and image edge information; wherein the image edge information is obtained by performing edge detection on the two-dimensional research target; the two-dimensional research target is obtained by extracting a two-dimensional mask; and adding the intersection points into the point cloud structure and performing triangulation to complete three-dimensional imaging. According to the method, the three-dimensional space information and the texture features can be obtained at the same time, the difference between the point cloud and the image data scale is reduced, and the loss of the texture information is reduced.

The invention discloses a multi-medium three-dimensional flaw detection system based on ultrasonic pulse echoes. The multi-medium three-dimensional flaw detection system comprises a synchronous data acquisition module, a temperature compensation module, a multi-physical field simulation optimization module, a signal processing module and a three-dimensional imaging and output module, the synchronous data acquisition module scans an object, records coordinates and synchronously transmits and receives ultrasonic echoes; the temperature compensation module calculates real-time sound velocity according to the water temperature, the real-time sound velocity is used by the multi-physics field simulation module, and the multi-physics field simulation module simulates sound wave propagation and generates a defect-free theoretical waveform as a reference by combining intrinsic parameters of an object and sound wave propagation parameters; the signal processing module carries out processing and feature extraction on actually measured echoes, and compares the actually measured echoes with a reference to identify defect signals; and the three-dimensional imaging module associates the signals with the coordinates, a three-dimensional model is generated by adopting slice reconstruction and a compressed sensing algorithm, and defects are visualized, so that the precision, the efficiency and the environmental adaptability of three-dimensional flaw detection can be improved.

The invention provides a three-dimensional imaging method and device based on an endoscope and electronic equipment. The method comprises the steps that multiple sub-aperture images obtained after the same light path passes through multiple micro lenses located on the same plane are obtained; classifying the corresponding sub-aperture images into a left sub-image set and a right sub-image set according to the positions of the micro-lenses; generating a corresponding first depth image and a corresponding second depth image based on the left sub-image set and the right sub-image set respectively; and generating a target three-dimensional image according to the first depth image and the second depth image. According to the invention, a clear target three-dimensional image can be obtained based on micro-lens simulation binocular imaging.

The invention discloses a power storage performance attenuation and variation detection method for an energy storage battery, and relates to the field of energy storage batteries. The method comprises the following steps: deploying a terahertz time-domain spectroscopy system and a microphone array on the surface of the energy storage battery, based on a terahertz time-domain spectroscopy system and a microphone array, acquiring a three-dimensional imaging map and a voiceprint signal of the energy storage battery at the beginning stage of charging the energy storage battery each time; creating a cloud database, and storing the three-dimensional imaging map and the voiceprint signal of the energy storage battery by using the cloud database; according to the method, terahertz time-domain spectrum three-dimensional imaging and voiceprint signal bimodal data are fused, battery global information acquisition is realized through distributed array scanning and matrix deployment, and a multi-dimensional attenuation evaluation model is constructed by combining dynamic storage and comparative analysis of a cloud database, so that the accuracy of battery attenuation evaluation is improved. A dynamic weight adjustment mechanism and ontology state information correction are introduced, so that the attenuation index estimation precision is remarkably improved.

The invention discloses a spatial position and reflectivity information extraction device and method based on a hyperspectral camera, and relates to the field of hyperspectral imaging, and the device comprises an upper computer, a three-dimensional imaging module, a sliding module, a holder and a connecting frame. The three-dimensional imaging module, the connecting frame, the holder and the sliding module are connected in sequence. The three-dimensional imaging module comprises a first line scanning hyperspectral camera and a second line scanning hyperspectral camera; the upper computer is respectively connected with the first line scanning hyperspectral camera and the second line scanning hyperspectral camera; the upper computer determines three-dimensional space position information of the target object based on the characteristic wave band according to the first hyperspectral image and the second hyperspectral image; according to the height value of the target object, determining 100% white board spectral irradiance by using a white board height correction formula; and determining the reflectivity of the target object by using a reflectivity calculation formula. The method can adapt to object reflectivity measurement in different light intensity environments and at different heights, and extra equipment is not needed for data fusion.

The invention belongs to the technical field of advanced detection, and provides a shield tunnel optical fiber earthquake forecasting method and system, and the method comprises the steps: obtaining the carrying position and number of seismic wave excitation seismic source equipment based on a shield tunneling machine structure type, installing a pneumatic hammering seismic source, calculating the dynamic correlation between the air pressure and the hammering force, and determining the shield air pressure range. Determining the relative spatial position of the seismic source and the optical fiber sensor, and establishing an observation mode; according to the relative spatial position and the observation mode, arranging an optical fiber sensor in a spatial range behind the shield tail of the shield tunnel, controlling a pneumatic hammering seismic source to hammer surrounding rock to generate seismic waves to obtain geological forecast data, preprocessing the obtained geological forecast data to obtain geological wave field data, and calculating the geological wave field data according to the geological wave field data. And calculating rock mass mechanical parameters, a reflection coefficient and a stress gradient of the shield excavation surface, obtaining a three-dimensional image, carrying out feature analysis, obtaining a disaster-causing structure position, a disaster-causing structure scale and an underground water occurrence condition, and completing prediction of the shield tunnel optical fiber earthquake.

The invention relates to an intelligent nozzle control method, system and device based on three-dimensional imaging, and the method comprises the steps: obtaining the three-dimensional point cloud data of the surface of an insulator, constructing a three-dimensional curved surface model of the surface of the insulator according to the three-dimensional point cloud data, and obtaining the curved surface shape features of the surface of the insulator; obtaining ice layer thickness data of the surface of the insulator according to the three-dimensional point cloud data, classifying the ice layer thickness data, and obtaining ice layer distribution areas of different thickness grades; the spraying direction and angle of the nozzle are controlled based on the curved surface shape characteristics of the insulator surface and the ice layer distribution area; and inputting the water outlet or air outlet parameter data at the current moment into the trained LSTM prediction model, outputting the predicted ice layer thickness and the ice accretion area, and controlling the water outlet or air outlet temperature, the flow velocity and the flow direction of the nozzle according to the predicted ice layer thickness and the ice accretion area. Accurate, efficient and safe deicing on the surface of the insulator is achieved, and stable operation of a power transmission line is effectively guaranteed.

The invention discloses a single-frame three-dimensional imaging method based on multi-frequency RGB (red, green and blue) stripe compression. According to the method, three groups of structured light stripe patterns with relatively prime frequencies and different directions are respectively embedded into RGB channels by utilizing channel characteristics of a color camera, the patterns are switched at a high speed by a projector, dynamic superposition is completed within single-frame exposure time of the camera, space compression acquisition of time domain information is realized, and a color superposition image fused with multiple pieces of time slice information is obtained. According to the invention, a multi-stage deep neural network architecture is designed to realize separation of fringe images of a color superposition image at different moments, phase information is accurately extracted from the decomposed fringe images, and finally unambiguous high-speed three-dimensional imaging in dynamic scenes at different moments is realized. According to the method, the time resolution of three-dimensional imaging can be remarkably improved without improving the frame rate of the camera, meanwhile, the space precision and the system stability are considered, and good universality and expandability are achieved.

The invention relates to the technical field of CT detection, and discloses a plane CT fan-beam projection filtering back projection reconstruction method and CT detection device.The method comprises the steps that S1, tilt geometric configuration parameters are determined according to the distance from a detector to a rotation center and a tilt angle, a sample rotating table is controlled to rotate, and the detector is triggered at each rotation angle to collect first projection data; s2, calculating a global three-dimensional coordinate of a detector pixel point under each rotation angle, and generating second projection data; s3, performing frequency domain filtering according to the thickness of the sample and the second projection data to obtain third projection data; and S4, calculating a ray intersection point coordinate from a reconstructed slice pixel point to a detector plane, and reconstructing the third projection data according to the ray intersection point coordinate to obtain a tomographic reconstruction image.According to the method, high-frequency detail features are reserved while noise is suppressed, the problem that a traditional fixed filtering kernel parameter is poor in adaptability to different samples is avoided, and the method is suitable for being applied to the field of image reconstruction. Therefore, high-precision three-dimensional imaging is realized.

The invention discloses a multi-channel transient electromagnetic detection method and device for a tunnel face, and relates to the technical field of geophysical information, and the method comprises the steps: planning horizontal measuring lines for the tunnel face at equal intervals, and planning measuring points on each measuring line at equal intervals; building a multi-channel detection array composed of a transient electromagnetic receiving coil and a transient electromagnetic transmitting coil, and carrying out primary field zero magnetic flux point adjustment; the method comprises the following steps: setting emission parameters according to detection depth and resolution requirements, then emitting bipolar square waves, carrying out measurement point-by-measurement observation by using an adjusted multi-channel detection array, constructing a geometric network which takes measurement lines, measurement points and channel numbers as indexes according to observation data, and carrying out multi-channel combined three-dimensional imaging. By constructing a multi-channel detection array, the data volume of a measuring point is increased, and the fineness of three-dimensional imaging is improved; through primary field zero magnetic flux point adjustment, the influence of a primary magnetic field is counteracted, and the signal-to-noise ratio of data is improved.

The invention relates to the technical field of oilfield development, in particular to a reservoir supercritical carbon dioxide fracturing soaking production simulation method and device. Well cementation is simulated; fracturing simulation: placing the core sample subjected to well cementation in a core holder, applying axial pressure and confining pressure to the core sample, simulating stratum triaxial stress at a required temperature, obtaining initial experimental data of the core sample at the moment, injecting supercritical carbon dioxide into the core sample through a shaft, and obtaining experimental data during core fracturing; soaking is simulated, and the core sample enters a soaking stage after being fractured; carrying out production simulation, enabling the core sample to enter a flowback stage under a specific return pressure condition, and recording experimental data of the core sample in the flowback stage; and performing three-dimensional imaging analysis. According to the method, the spatial distribution of the crude oil after the supercritical carbon dioxide fracturing of the unconventional reservoir can be monitored in real time, and the characteristics of the cracks formed after the fracturing and the crude oil recovery capacity are quantitatively evaluated.