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3results about How to "Address missing data" patented technology

An optimization method for closure jacking force of low tower cable-stayed bridge facing environmental adaptability

ActiveCN121327970BOvercome the shortcoming of ignoring dynamic changes in the environmentEnable dynamic prioritizationGeometric CADBiological modelsArchitectural engineeringTower
The application discloses a kind of short tower cable-stayed bridge closure jacking force optimization methods for environmental adaptability, belong to jacking force calculation technical field, comprising: the coupling model of environmental temperature field and structural response is constructed, temperature gradient and strain data are collected in real time by arranging distributed temperature and strain sensor array, temperature-strain mapping function is established;Define multi-objective optimization function, with jacking force as decision variable, comprehensively consider structural stress, design linear deviation and construction safety risk, realize multi-objective optimization by dynamically adjusting weight coefficient;Set constraint condition including structural stress, elevation deviation and axis error;Improved particle swarm optimization algorithm is used to solve optimal jacking force;Output optimal solution set, select the solution with the lowest construction safety risk in Pareto frontier as the final jacking force.The method improves the precision and efficiency of jacking force optimization, enhances the adaptability under complex environment, and provides a scientific and reliable solution for bridge construction.
Owner:CHINA HIGHWAY ENG CONSULTING GRP CO LTD +2

Adaptive 3D mesh reconstruction and error compensation method for reverse engineering of square iron of mould frame

PendingCN122336202AEnsure 90° verticalityEliminate deformation errorsPoint cloudComputer graphics (images)
The application provides a kind of adaptive 3D grid reconstruction and error compensation method for die frame square iron reverse engineering, including using laser scanner to carry out 360 ° scanning on die frame square iron to obtain original point cloud data, and the original point cloud data is registered to the same coordinate system, the original point cloud data is processed by multi-scale bilateral filtering, while constructing point cloud quality evaluation field, identifying data missing area and edge aliasing area, generating point cloud confidence weight map, establishing octree space index and calculating structure tensor to obtain principal curvature value, based on principal curvature and confidence weight, the square iron surface is divided into large plane area, transition feature area and boundary feature area, and the geometric topology skeleton line is extracted.The application decomposes the deviation into systematic error and random error and carries out reverse correction, which not only eliminates the overall deformation error of the workpiece, but also retains the real machining texture, realizes high-quality reverse reconstruction.
Owner:GUANGDONG TIANXIONG TIMES METAL TECH CO LTD

Multi-modal data enhancement and intelligent fault identification method for power transmission line under extreme weather

PendingCN122347768ARealize structured managementAddress missing dataExtreme weatherMulti modal data
The application discloses a power transmission line multi-modal data enhancement and intelligent fault identification method under extreme weather, comprising: multi-modal disaster data collaborative collection, standardized treatment and space-time alignment; a long-tail distribution-oriented deep data enhancement pipeline, containing a unified enhancement operator framework based on Bernoulli random variable control, a multi-class geometric transformation and photometric disturbance operator combination, a physical defogging enhancement step based on a dark channel prior and a channel-by-channel statistical normalization processing; visual-language large model fault intelligent identification and reasoning deployment based on LoRA fine-tuning. The application realizes the structured management of multi-source heterogeneous inspection data, the effective expansion of long-tail low-frequency fault samples, and the precise identification of power faults by Qwen2.5-VL under the condition that only about 0.1% of parameters are updated, and can directly output structured natural language fault diagnosis results.
Owner:HUBEI ELECTRIC POWER TRANSMISSION & DISTRIBUTION ENG