Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Design of Experimental Platform for Mechanical Course of Intelligent Control System Based on Data Mining Technology

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342774,
        author={Zhaodong  Zhai and Wei  Ma and Jingang  Gao},
        title={Design of Experimental Platform for Mechanical Course of Intelligent Control System Based on Data Mining Technology},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={data mining technology intelligent control system mechanical course experiment platform design},
        doi={10.4108/eai.17-11-2023.2342774}
    }
    
  • Zhaodong Zhai
    Wei Ma
    Jingang Gao
    Year: 2024
    Design of Experimental Platform for Mechanical Course of Intelligent Control System Based on Data Mining Technology
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342774
Zhaodong Zhai1,*, Wei Ma1, Jingang Gao1
  • 1: Changchun Institute of Technology, Changchun 130012, China
*Contact email: zhaizhaodong_111@163.com

Abstract

In mechanical engineering, the research and application of intelligent control systems is of great significance to improve the performance and efficiency of mechanical systems. As a powerful tool, data mining technology can mine and analyze large amounts of data to provide optimized control strategies for intelligent control systems. This paper introduces the design of the experimental platform for the mechanical course of the intelligent control system of data mining technology, and shows its significant improvement in performance indicators through the experimental results. The experimental results show that when using the intelligent control system mechanical course experiment platform for control experiments, the average value of index A is increased by 20.3%, the average value of indicator B increased by 16.8%, the average value of indicator C increased by 11.5%, and the average value of indicator D increased by 18.9%. This shows that by introducing data mining technology, the intelligent control system can significantly improve the performance of the mechanical system and increase its accuracy and stability.