Abstract
The traditional motion monitoring system can only provide limited information and cannot meet people’s requirements for details and accuracy. Therefore, the purpose of this paper is to develop an optical detection system based on fuzzy decision algorithm, which aims to achieve accurate and comprehensive acquisition of motion performance data and provide reliable monitoring performance in practical applications. A fuzzy decision algorithm is used to process optical signals and extract motion performance data. By establishing a suitable fuzzy rule set, the optical signal is transformed into real motion data, and the accuracy and reliability of the algorithm are verified by experiments and tests. The experimental results show that the optical detection system based on fuzzy decision algorithm can accurately collect motion performance data and has good monitoring performance. The system can maintain stable work under different lighting conditions, accurately capture and analyze the details in motion, and the system can meet people’s needs for accuracy and comprehensiveness, and show good performance in practical applications.
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This paper was supported by Chongqing Municipal Commission of Education, Research on control of cam-free electro-hydraulic variable valve train based on extended Kalman filter, KJQN20220411.
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WL has made the first version, CW and MD has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.
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Li, W., Wu, C. & Deng, M. Application of light detection system based on fuzzy decision algorithm in motion data collection and motion monitoring. Opt Quant Electron 56, 237 (2024). https://doi.org/10.1007/s11082-023-05886-3
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DOI: https://doi.org/10.1007/s11082-023-05886-3