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Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I

Research Article

Design of Bearing Alloy Intelligent Batching System Based on Electrical Control

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  • @INPROCEEDINGS{10.1007/978-3-030-94551-0_40,
        author={Ming-fei Qu and Dan Zhao and Yi Xin},
        title={Design of Bearing Alloy Intelligent Batching System Based on Electrical Control},
        proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2022},
        month={1},
        keywords={PLC electrical control Bearing Alloy batching system Fuzzy algorithm},
        doi={10.1007/978-3-030-94551-0_40}
    }
    
  • Ming-fei Qu
    Dan Zhao
    Yi Xin
    Year: 2022
    Design of Bearing Alloy Intelligent Batching System Based on Electrical Control
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-94551-0_40
Ming-fei Qu1, Dan Zhao1, Yi Xin1
  • 1: College of Mechatronic Engineering, Beijing Polytechnic

Abstract

In order to realize the optimization and intelligent control of the burden ratio of bearing alloy, the intelligent burden system of bearing alloy based on electrical control was constructed with the minimum error of the formula as the index, in order to complete the work of alloy ratio and intelligent burden independently. The feature of the system is to realize the automatic and accurate batching of bearing alloy by using fuzzy algorithm, and to configure electrical control to supply alloy raw materials quantitatively. Experimental results show that the system can basically control the error of bearing alloy batching within ±1%, which proves that the system can meet the requirements of batching precision.

Keywords
PLC electrical control Bearing Alloy batching system Fuzzy algorithm
Published
2022-01-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94551-0_40
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