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Research on Adaptive Dust Detection Machine Based on Reinforcement Learning

PLingxin Xue, Yicheng Peng, Yiyi Sun, Yuchen Han

Abstract


In order to better improve the quality of dust detection,to save the cost,the economic research in the traditional dust testing machine as
the carrier,the Internet of things,artificial intelligence,reinforcement learning,such as technology,introduced a set of adaptive dust detection
machine system based on reinforcement learning,realize the dust continuous monitoring,and achieve accurate warning when dust exceeds the
threshold,and automatically stop the machine operation.

Keywords


Reinforcement learning;Adaptive;Dust detection system

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References


[1]ZHANG Dongjuan. Research on dust detectional arm protection system based on SCM[J].Electronic

Measurement, 2019(24):18-19.

[2]JingXiaoqi.Design of dust detector system based on MCU STC89C51[J].Consumer electronics,2021(5):53,51.


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