11results about How to "Have continuity" patented technology

The application relates to the technical field of medical image analysis, in particular to a classification method and system based on thyroid or breast nodules, which comprises the following steps: acquiring a continuous image frame sequence to locate a calcification region mapping space coordinate, associating adjacent frame homologous segments, extracting a nodule outer edge feature corresponding to a final frame calcification position, analyzing a gray peak value direction connectivity, extracting a texture aggregation boundary feature and overlapping volume curvature and echo distribution analysis to obtain a classification result. In the application, the spatial position and time variation of the calcification region in the continuous image frame are jointly analyzed to obtain a dynamic migration track corresponding to the nodule outer edge feature, a propagation path is constructed in combination with the direction distribution of the internal gray peak value, the boundary contact feature and the texture aggregation form are matched in a unified space, a multi-dimensional feature set with spatial continuity and direction integrity is formed, the analysis ability of the nodule volume, curvature and internal structure difference is improved, and the stability and distinguishability of the classification result are enhanced.

This application relates to the field of autonomous driving technology, and in particular to a method and apparatus for optimizing decision-making actions of autonomous vehicles. The method includes: acquiring the autonomous vehicle's own state and the neighboring environment states of neighboring vehicles in the current driving scenario; extracting the environmental saliency feature vector of the current driving scenario; constructing the Bézier curve of the current driving scenario; calculating the instantaneous energy risk of the current driving scenario; obtaining the action sequence of the current driving scenario; and obtaining an optimization objective function. The action sequence is then iteratively optimized using the optimization objective function to obtain an optimized action sequence that meets preset optimization conditions. This solves the problem that related technologies employ isotropic safety assessment, leading to limitations in safety assessment, uneven trajectories, and difficulty in meeting the needs of commercialization.

The present application relates to the technical field of image reconstruction, in particular to a kind of imaging method of 3D space position information and 2D color texture information fusion, comprising the following steps: according to 2D color texture information, extract 2D color texture information internal gray level co-occurrence matrix pixel parameter, generate two-dimensional color mutation boundary, obtain 3D space position information accompanying space isomorphism determination item.In the present application, three-dimensional feature distribution skeleton coordinate set is used to participate in the solution of curved surface control point, so that the spatial curved surface reconstruction has continuity and geometric consistency;Finally, by converting two-dimensional color mutation boundary coordinates into Lagrange multiplier constraint variable and embedding into the solving process, the boundary constraint directly participates in the three-dimensional curved surface generation process, and then the texture pixel value is mapped to the external connection surface of three-dimensional curved surface grid node set, to realize the synchronous expression of space structure and texture information.

The invention discloses a bristle treatment device and process, and relates to the technical field of bristle production. The bristle processing device comprises a placing table used for placing bristles; the shaping section is arranged on the placing table; the input section is arranged at one end of the shaping section, and the input section is used for conveying the bristles to the shaping section; the output section is arranged at the other end of the shaping section, and the output section comprises a cutting assembly and a pull-out assembly; the cutting assembly comprises a first moving assembly, a first clamping assembly and a cutter, the first moving assembly is arranged on the containing table, the first clamping assembly and the cutter are both arranged on the first moving assembly, the first clamping assembly is used for clamping the two sides of a brush, and the moving direction of the first moving assembly is the same as the conveying direction of bristles; the pull-out assembly is used for pulling the bristles. The accuracy of the bristle stretching direction can be improved, so that the consistency of the finishing length is ensured, and the accuracy of the length of the bristles in the finishing and shaping process is improved.

The invention provides a target information processing method and device, electronic equipment and a computer program product, belongs to the field of data processing, and aims to solve the problems of information fragmentation, noise interference, insufficient adaptive capacity and the like in the existing method. The method comprises the following steps: acquiring historical information and current target information, obtaining a historical semantic baseline pool according to the historical information, and determining an increment value of the current target information based on the historical semantic baseline pool; in response to the increment value of the current target information, processing the current target information to obtain structured information of the current target information; based on the structured information, determining a comprehensive weight value of the current target information through a multi-dimensional scoring model; and generating target content of the current target information according to the comprehensive weight value, and adjusting parameters of the multi-dimensional scoring model according to feedback data of the target content.

The utility model relates to the technical field of reclaimed water treatment, specifically relates to a water treatment device based on reclaimed water advanced reuse, the composite processing unit includes the advanced activated carbon adsorption chamber that surrounds the circumference is arranged, reverse osmosis system chamber, ion exchange reactor chamber and two groups of ultrafiltration membrane component chamber, the inlet of advanced activated carbon adsorption chamber is connected with the outlet of water pump, the outlet of advanced activated carbon adsorption chamber is connected with pipeline two through pipeline one, three -way valve one, three -way valve two, three -way valve three and three -way valve four are sequentially arranged on pipeline two, one export of three -way valve one is connected with the import of reverse osmosis system chamber, one export of three -way valve two is connected with the import of ion exchange reactor chamber, one export of three -way valve three is connected with the import of an ultrafiltration membrane component chamber, in the composite processing unit of the utility model, the whole treatment process has continuity, and there is no waiting process, compared with traditional processing mode, the processing efficiency is improved greatly.

The invention relates to the technical field of health monitoring, in particular to a cardiovascular disease high-risk group health data monitoring method based on the Internet of Things, which comprises the following steps: acquiring health equipment state and activity records, analyzing health state trend, extracting abnormal fluctuation frequency and duration, collecting node environment parameters and signal quality, screening nodes meeting conditions, and determining the health data of cardiovascular disease high-risk groups. According to the invention, through continuous acquisition and time sequence analysis of the multi-source health data, dynamic mastering of multi-dimensional physiological indexes is realized, and the health monitoring recovery path and the synchronization node configuration table are obtained. Abnormal fluctuation screens and focuses key risk parameters according to frequency and duration, monitoring nodes complete adaptive adjustment according to signal and environment matching, monitoring paths are optimized according to signal delay and fluctuation characteristics, information transmission synchronization accuracy is guaranteed, the data utilization rate and decision-making precision are improved, and the real-time performance and continuity of cardiovascular risk monitoring are enhanced.

The invention provides a power distribution cabinet operation state real-time monitoring method and system based on edge calculation, and relates to the technical field of data processing, and the method comprises the steps: taking the change relation of the operation states between adjacent sampling points as a connection condition to form a state segment, extracting a change direction sequence and a change amplitude sequence of each operation data in the state segment, determining the type of the operation data with the highest contribution degree as a main disturbance source, calculating the disturbance intensity of the main disturbance source, obtaining a state disturbance index, determining the starting and ending boundaries and peak shape parameters of each disturbance pulse unit, and calculating the state disturbance index; and identifying boundary intervals and peak shape differences of adjacent disturbance pulse units, fusing peak position migration directions and peak shape expansion directions of the disturbance pulse units, calculating a change trend of the operation state of the power distribution cabinet, obtaining a state evolution index, analyzing the current operation state of the power distribution cabinet, and obtaining operation state judgment data. Through state judgment on the edge side of the power distribution cabinet, the operation state of the power distribution cabinet can be analyzed in real time.

The present application relates to pipeline nondestructive testing image recognition technical field, specifically to pipeline internal defect intelligent detection method based on image recognition, including: through endoscopic equipment gathers pipeline internal surface annular scanning image sequence, obtains the feature map set containing potential defect area through image preprocessing and multilevel feature extraction;Defect candidate region is generated by using improved attention guide network to complete feature fusion and defect candidate region focusing processing, and the weighted feature expression of the candidate region is generated;Through defect morphology analysis and classification discrimination, output defect category label and morphology parameter, and generate comprehensive defect evaluation report combined with pipeline structure information.The method is suitable for pipeline annular structure to realize global continuous acquisition, eliminate detection blind area, strengthen defect features through attention weighting, suppress redundant background interference, improve defect positioning accuracy and classification accuracy, and guarantee the integrity, accuracy and reliability of pipeline internal defect detection.

The application relates to the technical field of image processing, and discloses a real-time image processing method and system for dynamic target identification in a video stream, which comprises the following steps: constructing a double-channel feature extraction model based on an attention mechanism and a color space, and parallelly solving a visual reference center and a dynamic target mass center coordinate from a monocular video frame; generating an alignment deviation vector flow according to the above, and deconstructing physiological tremor and operational jitter characteristics; when high dynamic visual transition is detected, switching to a visual blind area state and generating a virtual track, and finally fusing to generate a whole-process alignment track and a guidance instruction; the application effectively solves the problems of visual information loss and space-time causal chain rupture caused by high dynamic transition in the moment of triggering operation of a handheld optical imaging terminal, realizes whole-link quantitative tracing and accurate attribution of a visual alignment behavior from physiological micro-motion to the moment of triggering.

This invention provides an inspection and repair system and method for weld seams in the steel lining of a subsea gas storage facility, belonging to the field of safety monitoring and maintenance technology for large-scale physical energy storage facilities. It includes an inspection and repair robot and control components. The inspection and repair robot resides on the inner wall of the steel lining of the subsea gas storage facility and includes a magnetic wheel chassis, a repair robotic arm, and an acoustic array detection and computing module. The end of the repair robotic arm integrates a high-pressure injection gun for leak repair material. The control components include a control and material supply center deployed outside the subsea gas storage facility, an intelligent servo reel transceiver mechanism, and a composite umbilical cable connecting the control and material supply center and the inspection and repair robot. The composite umbilical cable passes through the steel lining of the subsea gas storage facility and is wound around the intelligent servo reel transceiver mechanism. It enables real-time weld seam inspection without shutdown, precise leak location based on a rigorous mathematical model, and high-pressure in-situ repair.