Research on Adaptive Dust Detection Machine Based on Reinforcement Learning
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.References
[1] ZHANG Dongjuan.Research on dust detection alarm protection system based on SCM[J].Electronic Measurement,2019(24):18-19.
[2] Jing Xiaoqi.Design of dust detector system based on MCU STC89C51[J].Consumer electronics,2021(5):53,51.
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