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9 February 2024 The technique of parsing vehicle wiring harness tooling diagram based on pattern recognition
Zhibo Guo, Wei Jiang, Yanhai Song, Chenglin Sun, Nan Wang, Xiaoli Qiao
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Proceedings Volume 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023); 130731I (2024) https://doi.org/10.1117/12.3026655
Event: Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 2023, Changsha, China
Abstract
This paper analyzes the main elements of vehicle wire harness diagrams and summarizes the rules that a correct wire harness diagram should adhere to. Building upon this foundation, with the aid of Teigha, successful extraction of entities within vehicle wire harness diagrams has been achieved. Node Recognition Algorithm and Wire harness recognition algorithm have been designed, which can correctly analyze elements in the harness diagram and extract data from them. A comparative experiment was conducted with the traditional electronic wiring board, and the experimental results showed that the intelligent electronic wiring board using the algorithm shortened the average path resolution time from 4.3 hours to 7.6 seconds, and no errors occurred during the processes.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zhibo Guo, Wei Jiang, Yanhai Song, Chenglin Sun, Nan Wang, and Xiaoli Qiao "The technique of parsing vehicle wiring harness tooling diagram based on pattern recognition", Proc. SPIE 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 130731I (9 February 2024); https://doi.org/10.1117/12.3026655
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KEYWORDS
Detection and tracking algorithms
Manufacturing
Computer aided design
Pattern recognition
Visualization
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