99results about How to "Accurate mapping" patented technology

The invention belongs to the technical field of automatic industrial sorting, and discloses an automatic sorting digital twin system and a construction method. The construction method comprises the following steps: constructing physical entities for executing different operation functions in automatic sorting based on a physical entity layer, and sending the physical entities to a digital twin platform layer; the digital twin platform layer constructs a three-dimensional virtual model synchronous with different operation functions executed by the physical entity through three-dimensional design software; the three-dimensional virtual model is dynamically updated in real time; and loading the three-dimensional virtual model to a three-dimensional engine of a visual application layer through a communication protocol or a transmission network, monitoring the real-time states of different operation functions of the physical entity in an industrial automatic sorting simulation scene, and visually displaying the real-time states through a user interface. The digital twinning platform of the automatic sorting system is constructed, and visual interaction, real-time data monitoring and virtual and real synchronous operation of the automatic sorting digital twinning system are achieved.

The invention relates to the technical field of slurry valve design, and discloses a large-diameter slurry valve sealing structure design method and device suitable for a high-wear working condition, and the method comprises the steps: firstly obtaining key geometric parameters of a sealing structure, constructing a three-dimensional topological basic model and a mechanical property simulation model, and then carrying out the fusion to form a digital twin model; then constructing a wear morphology time sequence data set; meanwhile, three-level early warning threshold values are set for the key working condition parameters, a working condition risk grade division rule is established, and a real-time working condition risk grade is obtained according to the working condition risk grade division rule; and finally, based on the wear morphology time sequence data set and the real-time working condition risk level, constructing a wear evolution prediction model, and optimizing key geometric parameters of the sealing structure in combination with a digital twin model to obtain an optimal geometric parameter combination. Accurate prediction and optimal design of the abrasion state of the sealing structure of the large-diameter slurry valve can be achieved, the service life of the sealing structure under the high-abrasion working condition is remarkably prolonged, and the reliability of the sealing structure under the high-abrasion working condition is remarkably improved.

The invention discloses a confocal microscope camera calibration method based on high-precision motion control. The confocal microscope camera calibration method mainly comprises the steps of establishing four coordinate systems, placing a checkerboard calibration plate on a high-precision platform and adjusting the checkerboard calibration plate to the center of the view of a camera, and shooting and recording image coordinates of a calibration point. And based on the imaging relationship between the optical center of the camera and the object point, determining the mapping relationship between the coordinate systems so as to establish a preliminary imaging model. Then, nonlinear correction is performed on the imaging model, lens distortion is eliminated, and corrected image coordinates are converted into pixel coordinates. The non-linear correction parameters are optimized through the multi-view data, the mapping relation between the image plane and the platform physical plane is further calculated, and the mapping relation is optimized through the least square method so as to improve the calibration precision. Finally, pixel coordinates in the image are converted into physical coordinates of a platform through the optimized matrix, and support is provided for the automatic focusing process of the confocal microscope.

The invention discloses a multi-target detection method based on a multi-source high-frequency track and a high-precision map, which realizes conversion of a video coordinate system, a millimeter wave radar coordinate system and a world coordinate system and fuses a radar target and a video target. The method comprises the following steps: automatically calibrating video and thunder vision; performing automatic deviation correction on a north corner and an equipment position based on multi-straight-line regression; transforming the video sensor into a world coordinate system; and carrying out decision association of the Leiyu tracking target. According to the method, the target trajectory and the high-precision map data are tracked by utilizing the thunder vision high frequency, the complexity of calibration between the sensors and between the sensors and a world coordinate system is reduced, meanwhile, the precision errors of coordinate transformation between the thunder vision sensors and thunder vision data world coordinate transformation are reduced, and compared with the prior art, the method has the advantages that in the application of complex traffic roadside vehicle detection scenes, the detection efficiency is improved. The precision is higher; and the data association has robustness.

The invention relates to the technical field of social media platform analysis, and discloses an abnormal psychology detection method based on multi-dimensional psychological feature modeling, which comprises the following steps: setting an emotion large category label and a behavior sub category label according to a contradictory dispute text on a social media; collecting a data set of contradictory dispute texts on the social media; cue words are designed, and an emotion classification task and a behavior recognition classification task of the contradictory dispute text are combined into one task; selecting a large language model and a parameter scale of the large language model, and performing training fine tuning on the large language model by using LLaMA-Factory based on cue words and training samples in a training set; and inputting the contradictory dispute text and the prompt word in the test set into the trained large language model to obtain an abnormal psychological detection result. According to the method, the emotion classification spanning single dimension can be realized, and the comprehensive assessment of the individual psychological state is realized.

The invention provides a method for realizing high-dimensional alignment and conversion of multi-modal features (vision and music), and aims to solve the problems of insufficient alignment of the multi-modal features, lack of consistency of styles and emotions and insufficient optimization of generated contents in the prior art. According to the method, through a multi-modal feature extraction module, a multi-modal feature alignment and mapping module, a dynamic generation and optimization module and a user interaction and feedback module, consistency of vision and music in style, emotion and dynamic characteristics is achieved, and accurate conversion from one mode to another mode is supported. Experimental results show that the method is remarkably superior to the prior art in feature alignment precision and generated content consistency, and has wide application prospects and technical innovation.

The invention relates to a zoom binocular system image ship target identification method based on homography matrix mapping, and belongs to the technical field of marine ship target image detection and identification. According to the method provided by the invention, ship targets identified through a deep learning algorithm are in two images of a binocular camera system, and four corner points and a central point of each target serve as corresponding points and are used for constructing a calculation basis of a homography matrix. Bidirectional accurate mapping between the visible light and the infrared image is realized through the constructed homography matrix, and target recognition of deep learning is supplemented. And a homography matrix group based on focal length change is constructed by adjusting the focal length of the binocular imaging system. When missing detection target identification of supplementary deep learning is carried out, the most suitable homography matrix is selected from the matrix library to be applied according to the current imaging condition and the focal length, and detection identification of missing detection or even zero detection ships obtained by a certain modal image only by using the deep learning method is realized.

The invention discloses a traffic target monitoring and tracking system and method based on monocular vision daytime scene reconstruction. The system comprises a monocular camera, an inertial navigation module, a lightweight processor, a radio frequency communication module, a solar energy storage module and a Beidou positioning module. The monocular camera is used for continuously capturing multiple frames of images; the inertial navigation module utilizes a built-in high-precision gyroscope to measure the three-dimensional attitude of the monocular camera during photographing, and calculates an external parameter matrix of the camera; the lightweight processor is responsible for processing multiple frames of images acquired by the camera, performing image preprocessing, vehicle detection and trajectory calculation, and executing a core algorithm; the radio frequency communication module transmits the detected traffic flow information back to the traffic monitoring center; the Beidou positioning module provides geographical location information, so that traffic flow information can be synchronized with the geographical location. On the premise of not depending on high-power-consumption equipment, the vehicle information is transmitted back to the monitoring center through the radio frequency communication module, and the system is suitable for daily traffic monitoring and signal control optimization.

The invention relates to the technical field of medical health, in particular to a cardiac muscle tissue electrophysiology unmarked optical detection method based on deep learning. The method comprises the following steps: acquiring optical detection image data and electrophysiological signal data of myocardial tissue; the optical detection image data and the electrophysiological signal data are subjected to image preprocessing, so that optical-physiological signal mapping data are obtained, and image preprocessing comprises image registration, image cutting, periodic enhancement, time difference enhancement, spatial filtering, intensity normalization and data smoothing; and according to the optical-physiological signal mapping data, carrying out feature signal extraction based on a mechanical contraction curve and an electrophysiological curve so as to obtain mechanical contraction curve data and electrophysiological curve data. According to the method, unmarked optical detection is adopted, so that direct interference on myocardial tissues is avoided, and the physiological state of the tissues is better maintained.

The invention provides a budget data generation method and device for property transformation projects, equipment and a medium, and the method comprises the steps: associating a first correction coefficient in a historical data set of each transformation project, and representing a deviation ratio between prediction data and actual data through the correction coefficient, determining the first budget data by using the first correction coefficient and the prediction budget data obtained based on the historical data set, thereby realizing the correction of the prediction data; after the transformation plan is started, progress deviation data and a risk score are determined according to the real-time progress data of each transformation project, the progress deviation data are marked when the risk score is greater than a score threshold, and after the transformation plan is completed, each transformation project evaluates the accuracy of the first correction coefficient based on the progress deviation data and the risk score, and updating the first correction coefficient to the second correction coefficient based on the target step value, and associating the second correction coefficient to the historical data set to realize update iteration of the correction coefficient and improve the reliability of the budget data.

The utility model relates to bone hook coordinate mapping positioning equipment suitable for spinal surgery, which comprises a bearing rod, the bearing rod is connected with an adjusting rod through an adjusting shaft, a plurality of guide devices are arranged on the outer side of the bearing rod and the outer side of the adjusting rod, each guide device comprises a guide seat, and a bone power cutting groove is formed in the outer side of each guide seat. A bone hook groove is formed in the guide seat, and a plurality of bone hook assemblies are arranged in the bone hook groove through mapping assemblies. Therefore, the angles of the bearing rod and the adjusting rod can be properly adjusted, the physiological curve of the back of the human body can be fitted, and subsequent positioning errors are avoided. The angle of the guiding device can be adjusted, and a proper angle can be provided according to the mapping requirement. The guiding device can achieve stable positioning of the orthopedic power depth limiter installed subsequently, and sliding is avoided. The bone hook assembly can achieve accurate mapping of bone surface contact point coordinates, and the operation precision is improved.

The invention relates to the technical field of battery management, and discloses a battery health state evaluation method and system for an electric tool energy supply device, and the method comprises the steps: obtaining multi-source sensor data in the operation process of an electric tool, and carrying out the preprocessing of the data; identifying and classifying multi-stage pulse discharge events, extracting multi-scale voltage response features and performing temperature compensation; equivalent circuit model parameter identification is carried out, abnormal identification results are checked and removed, and parameter aging characteristics are extracted; constructing a time sequence prediction model for prediction; evaluating the overall health state and the monomer consistency of the battery pack; defining a judgment standard of effective cycles, predicting the number of remaining effective cycles, calculating a confidence interval of a prediction result, and generating a battery management suggestion; formatting into a standardized evaluation report, carrying out data synchronization and model optimization through edge cloud collaboration, and recording a system operation log; according to the invention, accurate health state evaluation and residual life prediction are realized.

The present invention provides a comprehensive management and control method and system based on digital twins and multi-source heterogeneous data processing, the following steps: scan the site, obtain point cloud data of the surrounding environment, reconstruct the reverse modeling of the geometric shape and structure of the building based on the point cloud data, and calibrate the model obtained by reverse modeling with the site; optimize the model; use multi-source heterogeneous data fusion technology to process and classify the heterogeneous data of various professional rail transit, and realize standardized data processing. The comprehensive management and control method and system based on digital twins and multi-source heterogeneous data processing provided by the present invention realizes the accurate mapping of the digital twin space to the real station environment, can associate the three-dimensional model with the multi-dimensional data attributes, assist in realizing the core functions such as virtual inspection, risk control and scheduling decision-making, and improve the intelligent operation level of the station.

This invention discloses an online search method for particle spelling variants and properties usable by intelligent agents. The steps are as follows: inputting the baseline spelling of a particle and the constructed particle-specific prompt words into a large language model to generate a core variant corresponding to the particle; integrating the core variant of each particle with the authoritative benchmark information corresponding to the particle to form a full variant set for each particle; each record in the full variant set contains a unique identifier for a particle, a multi-scene benchmark name, a core variant, and extended attributes; dynamically mapping a remotely callable interface set on the server to a local proxy object on the client; after receiving a query request, the local proxy object parses the particle spelling parameters in the query request and performs multi-dimensional spelling matching in the full variant set to realize online search for particle spelling variants and properties. This invention effectively improves the ability of AI intelligent agents to handle domain-specific tasks.

The invention discloses a rapid magnetic resonance imaging reconstruction and segmentation method and system, a medium and a product, and relates to the technical field of image processing. The method comprises the following steps: decomposing original three-dimensional magnetic resonance data into a plurality of independent two-dimensional magnetic resonance data slices along a slice sequence; image reconstruction is carried out on the two-dimensional magnetic resonance data slices through a pre-trained forward generator in the frequency domain Schrodinger bridge diffusion model so as to generate a two-dimensional magnetic resonance image, and the forward generator integrates a Fourier convolution module and is used for carrying out frequency domain transformation and feature enhancement processing on feature mapping in the image reconstruction process; inputting each two-dimensional magnetic resonance image into a pre-trained segmentation model in sequence, performing segmentation of a target region and a preset dangerous organ, and generating a corresponding two-dimensional segmentation mask; all the two-dimensional segmentation masks are rearranged and stacked according to the slicing sequence, and a three-dimensional segmentation result is generated through three-dimensional fusion operation. By implementing the technical scheme, magnetic resonance imaging reconstruction and segmentation can be quickly and accurately carried out.

The invention relates to a video and map data mapping method based on three-dimensional geographic information, and the method comprises the steps: (1) obtaining the three-dimensional geographic coordinates of a starting point and a target point, respectively including the longitude, latitude and elevation data of each point, picking up the video pixel coordinates and the three-dimensional geographic coordinates of the target point, and constructing a serialized feature point pair; (2) according to the serialized feature point pairs, camera geographic calibration based on the feature point pairs is carried out; and step (3), mapping the three-dimensional geographic coordinates of all points in the geographic space in the video coverage area into video pixel coordinates based on a rotation matrix constructed after camera geographic calibration, or mapping the video pixel coordinates of all points in a camera picture into three-dimensional geographic coordinates.

This invention relates to the fields of laser additive manufacturing and digital twin technology, and discloses a multi-axis laser cladding topography digital twin system. The system includes a process parameter acquisition and equipment status mapping module, a two-dimensional topography prediction module, a real cladding process video module, and a virtual three-dimensional topography real-time update module. The process parameter acquisition and equipment status mapping module is used to acquire and synchronize process parameters, multi-axis motion status, TCP position, TCP feed direction, and laser switch status. The two-dimensional topography prediction module is used to call the laser cladding topography prediction model and output a two-dimensional cladding cross-sectional contour line. The real cladding process video module is used to acquire on-site images or video video information. The virtual three-dimensional topography real-time update module is used to map the two-dimensional cladding cross-sectional contour line to three-dimensional space and incrementally construct a triangular mesh model of the cladding layer. This invention can achieve real-time linkage updates and virtual-real synchronous display of equipment status, cross-sectional contour, and three-dimensional cladding topography without relying on online point cloud measurement of the cladding weld bead.

The invention discloses a method for simulating phosphorus and chromium migration during farmland irrigation with acid mine wastewater, which comprises the following steps: mixing a plant-derived organic material with deionized water to obtain a soluble organic matter; h2O2 oxidizes Fe < 2 + > to prepare pure Schwertmannite, and the pure Schwertmannite is placed in a phosphate solution to obtain phosphorus-loaded Schwertmannite; mixing the phosphorus-loaded Schwertmannite and the soluble organic matter with a chromate solution, carrying out oscillation adsorption, carrying out solid-liquid separation after adsorption, carrying out CrO and POconcentration change test on filtrate, and carrying out mineral characterization on separated solids; a three-dimensional fluorescence spectrum is adopted to track composition conversion of the soluble organic matter in the reaction process; and analyzing the component change of the supernate before and after the reaction by adopting Fourier transform ion cyclotron resonance mass spectrometry. The influence mechanism of DOM on phosphorus and chromium fate in mineral / water interface molecular fractionation is disclosed from the molecular level, and a scientific basis is provided for collaborative migration risk assessment of phosphorus and heavy metal in acid mine wastewater irrigation area farmland.

This application relates to the field of gas sensor packaging technology, specifically to an automated packaging method, system, and packaging device for gas sensors. The method includes: pre-establishing a packaging process parameter-gas-sensitive channel adaptation model; calculating the actual coaxiality deviation and correcting the sealing pressure reference value based on the gas-sensitive channel aperture; starting the integrated packaging unit, applying pre-pressure according to the corrected sealing pressure, and simultaneously collecting the temperature of the sealing area through an infrared temperature measurement module to determine whether dynamic adjustment of the welding temperature is needed; after welding, maintaining the corrected sealing pressure, and dynamically adjusting the pressure holding time based on the gas-sensitive channel length and the creep coefficient of the sealing material to complete the sealing process. This application achieves a precise balance between sealing performance and conduction efficiency by establishing a dynamic adaptation model of process parameters and gas-sensitive channel structure, overcoming the coupling imbalance bottleneck of existing technologies.

The invention provides a face acne skin lesion detection matching method, system and device, and relates to the field of image processing, and the method comprises the steps: calling a face key point detection interface, and obtaining face key point coordinates on face images at different angles; obtaining a first mapping transformation reference point of each face key point corresponding to the side face and the front face; according to the first mapping transformation reference point, generating a perspective transformation matrix of mapping the side face to the front face; according to the perspective transformation matrix and the human face key point coordinates, mapping the skin lesion detection frame on the side face to a position corresponding to the front face; matching the skin lesion detection frame on the front face with the skin lesion detection frame mapped to the front face by the side face; and unifying the skin lesion type labels of the skin lesion with the front face and the side face successfully matched. According to the invention, the accuracy of acne evaluation results can be improved.

The point fixing device comprises a bottom plate and a tripod at the bottom, a middle shaft is vertically arranged at the upper end of the bottom plate, a bearing is rotationally sleeved outside the middle shaft, a rotating drum is rotationally sleeved outside the bearing, an adjusting bolt is arranged on the side wall of the rotating drum in a threaded connection and penetrating mode, and a braking vane is arranged in a crack between the middle shaft and the rotating drum. A horizontal compass is arranged at the top of the middle shaft, a mounting seat is arranged on the side wall of the rotating drum, an outer pipe is detachably and fixedly mounted on the mounting seat and is perpendicular to the middle shaft, an inner rod is slidably inserted into the outer pipe and is perpendicular to the middle shaft, and a marker post is vertically and fixedly arranged above the tail end of the inner rod; a locking structure used for fixing the inner rod is further arranged on the outer pipe, and a target rod is further vertically arranged on the top of the installation base and located on the periphery of the horizontal compass. The device can effectively solve the problem that the marker post is shielded by a shielding object when a reference point is set on a fall land, and can accurately reproduce the position of the marker post during re-measurement, so that the surveying and mapping precision and efficiency are improved.

The invention relates to an intelligent dish matching device for an automatic frying pan, and aims to improve the cooking efficiency and food safety management in the catering industry. The device comprises a vegetable cleaning cabinet, a mechanical arm, a mechanical clamping jaw, a guide rail system, a frying pan and a control system. The clean vegetable cabinet realizes automatic supplement of food materials through a landslide system, supports classified storage of the food materials and shortens the vegetable preparation time; a mechanical arm is combined with a guide rail system, the grabbing range is expanded through a six-degree-of-freedom rotating joint and motor driving, and efficient operation between a food cabinet and a frying pan is achieved; the frying pan has a rotating function, and the angle can be adjusted according to cooking requirements so as to be matched with feeding of food materials and pouring of finished products. And the food material identifier, the wok identifier and the finished dish identifier are tracked in real time through an industrial internet identifier analysis technology, the food quality and safety are ensured, and intelligent scheduling of tasks is realized in combination with a multi-objective optimization algorithm. The device supports parallel operation of multiple pots, the meal delivery speed is effectively increased, and the requirements of the catering industry for efficient and intelligent production are met.

The embodiment of the application provides a fracturing implementation deployment optimization method and an electronic device, and relates to the technical field of fracturing reconstruction. The method comprises the following steps: performing spatial division according to a borehole trajectory of a region to be analyzed and preset reconstruction information, and obtaining a plurality of sub-regions to be analyzed; obtaining a first coordinate of a model grid unit based on a three-dimensional reservoir sweet spot distribution model that has been constructed, and mapping the first coordinate to a current borehole local coordinate system by using a preset coordinate conversion algorithm to obtain a second coordinate of the model grid unit; obtaining a sweet spot index set corresponding to a current sub-region to be analyzed by position screening; and outputting fracturing implementation deployment information according to a plurality of sweet spot index sets corresponding to the region to be analyzed. By combining the borehole trajectory and the preset reconstruction information, the fracturing influence range is divided, and the three-dimensional reservoir sweet spot distribution model is mapped to the borehole local coordinate system, so that the analysis and effective identification of the recoverable potential of the far-well region fracturing are realized, and the accuracy of fracturing deployment is improved.

This invention relates to the field of CNC machine tool cutting, and particularly to a cutting force prediction method based on cutting parameter domain adaptive transfer learning. First, a dataset of cutting force signals and cutting parameters for both the source and target domains is constructed. Second, a dimensionless feature space for the target domain is established, the source domain cutting parameters are mapped, and the geometric centroid of the target domain is calculated. Then, combining Mahalanobis distance and entropy regularization distribution alignment algorithms, a transfer weight distribution between the source and target domains is generated based on an anisotropic metric matrix. Furthermore, using a cutting force prediction model and mechanical behavior feature parameters, a robust transfer objective function composed of weighted mean and weighted standard deviation is constructed. Finally, under physical property constraints, Bayesian optimization iteratively searches for the optimal feature parameters and outputs the predicted cutting force. This invention improves the generalization accuracy under varying working conditions, suppresses negative transfer, and achieves interpretability and reliable quantification of the prediction results.

The invention discloses a nanoindentation simulation design-based material indentation depth calibration method, device, equipment and medium, and relates to the technical field of material mechanics characterization, and the method comprises the steps of establishing a continuous gradient material finite element geometric model corresponding to a Brookfield indenter nanoindentation experiment, and constructing a continuous gradient material constitutive model with an elastic modulus continuously changing; combining the two models to perform indentation simulation at a plurality of preset maximum indentation depths to obtain simulation results; calculating an equivalent elastic modulus based on a load displacement curve in a simulation result to determine a material indentation depth corresponding to a preset maximum indentation depth of the indenter; and establishing a quantitative mapping model between the preset maximum indenter indentation depth and the material indentation depth so as to map a test result of the Brookfield indenter nanoindentation experiment at the preset maximum indenter indentation depth to the corresponding material indentation depth according to the quantitative mapping model. And the nanoindentation test result can be accurately mapped to the specific depth position of the continuous gradient material.

The present invention discloses a data collection method for simulation learning, comprising: constructing a virtual robot, aligning the virtual robot with a real-world coordinate system, and obtaining the virtual robot in the real-world coordinate system; matching a hand tracking device with the virtual robot in position and posture, and providing feedback on the position and posture of the hand tracking device through the position of a target object and an ideal operation path; during the data collection process, providing collision and over-limit reminders through the tactile feedback of the hand tracking device and the visual feedback of augmented reality glasses; storing and preprocessing the collected data, and optimizing the preprocessed data through trajectory consistency, over-limit check, and collision number check.

The application relates to a processing method and a processing system for reducing the roughness of an inner hole, and the processing method comprises the following steps: S1, establishing a finite element model of contact between a rolling tool and a workpiece, wherein the rolling tool is provided with a roller, and the workpiece is provided with an inner hole; S2, performing a first simulation experiment to simulate the simulation roughness of the hole wall of the inner hole under different combinations of different interference amounts and different chamfer radii of the roller; S3, performing an offline experiment to measure the actual roughness of the hole wall of the inner hole of the workpiece under different combinations of different interference amounts and different chamfer radii of the roller, and the parameters of different interference amounts and different chamfer radii correspond to the same during the first simulation experiment and the offline experiment; S4, optimizing the finite element model based on the simulation roughness and the actual roughness; and S5, performing a second simulation experiment to simulate the simulation roughness of the hole wall of the inner hole under different combinations of different interference amounts and different chamfer radii of the roller.

The invention relates to the technical field of medical image reconstruction, and discloses a bone joint three-dimensional reconstruction method and system based on deep learning. The method comprises the steps that a bone joint tomography image set is input, and multi-scale density slices and edge contour information are analyzed; deducing the two types of information space structures, and establishing an initial space field containing a bone tissue main body frame and a joint lacuna form; separating articular surface structure details and bone surface texture veins from the initial field; generating a network by using the three-dimensional structure which is obtained through separation and input and is trained to obtain a grid body with anatomical topological connection; and performing curved surface iterative smoothing based on biomechanical characteristics on the grid body, and outputting a final bone joint three-dimensional model.

The application relates to the field of electronic technology and discloses a sonar three-dimensional imaging reconstruction method, device and equipment for the underwater environment of an inspection well, which projects sonar ring scanning data corresponding to each depth to a target plane based on target posture data of each depth to obtain first sonar ring scanning data corresponding to each depth; calculates first centroid position coordinates corresponding to each depth based on the first sonar ring scanning data of each depth, and calculates second centroid position coordinates corresponding to each depth based on reference sonar ring scanning data; determines a translation vector corresponding to each depth based on the first centroid position coordinates and the second centroid position coordinates of each depth; corrects the first sonar ring scanning data by using the translation vector of each depth to obtain target sonar ring scanning data corresponding to each depth; and determines an underwater three-dimensional model of the inspection well based on the target sonar ring scanning data of each depth, pixel quantity information, pixel spacing information and target posture data, so that the complex geometric shape of the whole inside of the inspection well can be restored completely and with high precision.

The embodiment of the application discloses a decoding logic derivation method, a failed storage particle positioning method and related equipment, comprising: collecting all first error physical addresses generated by testing a same failed storage particle in a first physical slot to form a first error physical address set; collecting all second error physical addresses generated by testing the same failed storage particle in a second physical slot to form a second error physical address set; searching the first error physical address set and the second error physical address set to find k address bits, or a logical combination thereof, which is always a same value in binary logic values of all the first error physical addresses and is always an opposite value of the same value in binary logic values of all the second error physical addresses; and generating a Boolean function of the k address bits or the logical combination thereof as decoding logic. The application can automatically restore hidden physical address decoding logic and realize automatic, accurate and efficient positioning of the physical position of the failed storage particle.