12results about How to "True restoration" patented technology

The application discloses an image processing method, and relates to the fields of auxiliary driving and image processing. The method comprises the following steps: for each sub-block image, acquiring the reference feature pixel point quantity, the first feature pixel point and the second feature pixel point of the to-be-fused boundary contour of the sub-block image; acquiring the coordinate data of the reference feature pixel point of the to-be-fused boundary contour according to the above parameters; determining the fusion boundary of the sub-block image according to the coordinate data corresponding to the first feature pixel point, the second feature pixel point and the reference feature pixel point; and performing image fusion on each sub-block image according to the position relationship between each fusion boundary and each sub-block image. The technical scheme of the embodiment of the application not only realizes the accurate construction of the fusion boundary conforming to the actual contour of the sub-block image, but also avoids the problems of obvious splitting, ghosting or display fault at the splicing position of the sub-block image, thereby improving the content continuity, integrity and clarity of the fused image.

The invention provides a high-precision reconstruction method for a three-dimensional global sound field in a deep ground space, and the method comprises the following steps: S1, sound field collection: collecting sound signals through a microphone array disposed in a target space; s2, model construction: an equivalent sound source and virtual sound source mixed model is constructed based on the sound signals collected in S1, the equivalent sound source and virtual sound source mixed model performs virtual extrapolation on a physical boundary of a target space to form an equivalent sound source surface, the equivalent sound source surface is dispersed into a plurality of equivalent sound sources, and the plurality of equivalent sound sources are subjected to virtual extrapolation; arranging at least one layer of virtual sound source outside the equivalent sound source surface; s3, sound field reconstruction: reconstructing and outputting a three-dimensional sound field in the target space based on the construction of the equivalent sound source and virtual sound source mixed model; according to the method, the original sound signals are directly collected in the target space, the authenticity of sound field data used for reconstruction is ensured, a reliable data foundation is laid for subsequent high-precision physical reconstruction, and compared with a traditional method depending on a database or artificially synthesizing a sound source, the method is extremely high in reduction degree.

The present invention relates to the cross - technical field of tunnel engineering and geotechnical mechanics testing, and discloses a triaxial compression grouting test device and method with a variable bearing contact area, which includes a cube - shaped specimen; the loading system includes a reaction frame and a plurality of hydraulic rods rotatably connected to the reaction frame through driving members. The output ends of the hydraulic rods are circumferentially connected with a plurality of pressurizing mechanisms, and the output ends of the hydraulic rods are also detachably connected with a plurality of groups of bearing blocks arranged circumferentially. The front surfaces of the plurality of bearing blocks in each group are arranged in an inclined plane in the counter - clockwise direction, and the outer edges of the plurality of bearing blocks in each group gradually shrink in an arc shape. The plurality of pressurizing mechanisms are respectively used to abut against the front surfaces of the plurality of groups of bearing blocks, and the back surfaces of the plurality of bearing blocks are fitted with corresponding multi - layer nested bearing plates, and the bearing plates are used to abut against the end faces of the specimen. The present invention can more realistically restore the stress state of tunnel surrounding rocks, can make the bearing area adaptively adjust as the volume of the specimen decreases, and avoid stress concentration.

The application discloses a semantic segmentation method based on phase profile constraint and belongs to the technical field of computer vision. The method uses a calibrated camera-projector system to collect a two-dimensional texture image and a deformed fringe image of a to-be-measured scene under the same field of view; the deformed fringe image is solved through multi-step phase shifting and Gray code technology to obtain an absolute phase distribution and calculate a gradient field; according to a preset mutation condition, a physical edge profile reflecting the depth change of an object is extracted from the gradient field; the physical edge profile is mapped into the two-dimensional texture image based on the corresponding relationship of pixel coordinates to accurately define the semantic object area, the corresponding category label is given, and finally a semantic label mask image is generated. The application uses physical phase information to correct the uncertainty of visual texture edges, effectively solves the edge extraction problem under a complex light scene, realizes the automatic generation of semantic segmentation data, and improves the training precision and robustness of a semantic segmentation model.

The application discloses a gravity and magnetic inversion method based on grid merging and BTTB matrix fast forward, relates to the technical field of gravity and magnetic exploration, and comprises the following steps: establishing a basic forward and inversion grid and a basic grid kernel function matrix; initializing a coarse grid model and a conversion matrix; coarse grid inversion; adaptive grid subdivision based on a model gradient and establishment of a new conversion matrix; fine grid inversion; iterative convergence and output. The application has the beneficial effects that the BTTB kernel function matrix is calculated based on the basic grid in advance, the conversion from fine scale model parameters to coarse scale model parameters is realized through the conversion matrix, the iterative closed loop process of coarse grid inversion, adaptive grid subdivision and fine grid inversion is adopted, the criterion of adaptive grid subdivision is to compare the gradient eigenvalue of the current inversion model parameters with a preset threshold value, and in the grid inversion of different scales, the BTTB kernel function matrix generated by the same set of basic grid in advance is used to realize fast forward through the processing of the conversion matrix.

The application discloses a motor bearing dynamic load testing device based on double-shaft coupling and relates to the technical field of bearing testing. The device is obviously different from the conventional bearing load testing mode in that a semi-linkage structure is formed by a power output shaft, a joint shaft and a power detection shaft, the semi-linkage structure is convenient for the acquisition process of subsequent rotation parameters, the accurate testing of the dynamic load of the motor bearing is realized through the cooperative work of a first sliding table, a second sliding table and a third sliding table, the design of the semi-linkage structure makes the power output and detection more flexible, the response characteristics of the motor bearing under different load conditions are accurately captured, the setting of multiple detection components and an axial polarization detection component further improves the comprehensiveness and accuracy of the testing, the active intervention of a pulse action component on a ball head rod simulates the working state of the motor bearing in different action environments, the pulse action component provides strong support for the performance evaluation and optimization of the motor bearing, and the accuracy of the testing data in the testing process is improved.

This invention discloses a method for monitoring and early warning of the resilience evolution of water resources systems based on GTWR regression, belonging to the field of water resources and environmental management technology. The method includes: constructing a resilience evaluation system for a water resources complex system in a specific watershed; acquiring multi-source data for nodes, determining the objective weights of indicators, and quantifying resilience scores; extracting spatial differentiation characteristics of resilience levels through spatial autocorrelation analysis, and identifying the set of driving factors using a geographic detector; introducing the GTWR model to calculate the spatiotemporal regression coefficients of each driving factor, dynamically identifying the heterogeneity of the driving mechanisms for resilience evolution; and establishing a graded early warning mechanism by combining resilience level standards and driving patterns. This invention solves the technical problem of traditional assessment methods neglecting spatiotemporal nonstationarity, and can accurately identify resilience bottlenecks in different regions and at different times, possessing high monitoring accuracy and practical value.

This invention discloses an image tone adjustment method, a head-mounted display device, and a storage medium. The method includes: acquiring an ambient color temperature value and initial image data; determining tone adjustment parameters for the initial image data based on the ambient color temperature value; adjusting the initial image data according to the tone adjustment parameters to obtain target image data; and displaying the target image data on the display interface of the head-mounted display device. This invention aims to improve the accuracy of head-mounted display devices in reproducing ambient tones and enhance the user experience.

The invention discloses a human body activity and form measurement method based on multi-RGB camera three-dimensional dynamic capture, and relates to the technical field of image processing, and the method comprises the steps: obtaining a multi-view image sequence of a target object in a human-computer interaction process; based on the multi-view image sequence, determining a basic body surface of the target object, and determining an inward shrinkage equidistant surface obtained after the basic body surface shrinks inward for a preset distance; determining a three-dimensional point cloud model of the target object based on the basic body surface, the indentation equidistant surface and the multi-view image sequence; grid reconstruction is carried out on the three-dimensional point cloud model, texture mapping is carried out on the three-dimensional point cloud model after grid reconstruction, a three-dimensional point cloud model after texture mapping is obtained, and a three-dimensional dynamic model of the target object is determined according to the three-dimensional point cloud model after texture mapping corresponding to each visual angle image in the multi-visual angle image sequence; and carrying out activity measurement and form measurement on the target object based on the three-dimensional dynamic model.

This invention discloses a method for testing the overall magnetic permeability of the shielding layer of a magnetically shielded room, relating to the field of magnetic property measurement technology for magnetic materials. The method involves setting multiple first and second threading holes on two edges of a wall perpendicular to the x-direction of a cuboid shielded room. Multiple primary and secondary coils, connected in series, are then wound through the first and second threading holes. An excitation power supply is used to power the primary coils, and a magnetic flux detector is used to detect the magnetic flux induction in the secondary coils. Based on the multiple measured values, a (B, H) curve is plotted, and its slope is calculated to obtain the magnetic permeability of the cuboid magnetically shielded room. This method improves the accuracy of magnetic permeability measurement for cuboid magnetically shielded rooms and reduces the deviation between theoretical and actual values ​​in the analysis of the shielding effectiveness of the magnetically shielded room.

This invention provides a dynamic risk assessment method for DC bias magnetization of transformers caused by stray currents in subways, relating to the field of power system technology. The invention acquires dynamic train operation data for the current time period, simulates the dynamic train operation data based on a pre-constructed subway-regional power grid coupling model to obtain the DC bias magnetization current at each time point in each substation area, and determines the risk level of the absolute bias magnetization current at each time point. For each substation area, its risk type is determined based on the risk level distribution of the absolute bias magnetization current in the current time period, and corresponding processing strategies are set to obtain the comprehensive absolute bias magnetization current for each risk type. The comprehensive absolute bias magnetization current for each non-substation area is determined based on a partitioned weighted interpolation algorithm. The risk situation for the simulated time period is determined based on the comprehensive absolute bias magnetization current, and a risk assessment map is derived. Through specialized processing of different risk types, accurate risk assessment for each time period is achieved.

The present application relates to livestock state monitoring technical field, especially in kind of livestock outlier detection method, electronic equipment and computer storage medium, including the following steps: S1. Construct data set; S2. Use target detection tool to carry out object detection to each picture in data set, draw the position mark of each livestock; S3. The position mark of all pictures in data set is superimposed in position, and the hotspot map is drawn;S4. According to the position mark in picture, the distance value of each livestock and the density score value of each livestock are calculated;S5. If the distance value and the density score value of certain livestock meet the outlier condition, the livestock is regarded as outlier;S6. If the time of continuously finding the livestock regarded as outlier exceeds time threshold, it is determined that there is livestock outlier in the fence;The present application does not need to be matched with identity tag, identification and tracking technology, and the calculation amount is small, fully considers space density, resource distribution, group activity mode, individual difference and other factors, and the outlier recognition precision and efficiency are significantly improved.