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A Prior-Knowledge-Based Optimization Method for Microwave Sensor Design in Heavy Metals Detection

  • Peng Fei Qin
  • , Hao Xuan Xian
  • , Jing Xi He
  • , Yi Min Yu
  • , Guan Long Huang
  • , Xiao Ming Chen
  • , Zi Yu Pang
  • , Jin Peng He
  • Foshan University
  • University of Macau

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper describes a microwave sensor design optimization method based on prior knowledge for detecting heavy metals. combines prior-knowledge to optimize the structure and size of the microwave sensor simultaneously. In order to verify the detection performance of the microwave sensor optimized by the proposed method for heavy metal ions in liquid, the detection effect of the microwave sensor is verified using liquids containing copper. The results show that the microwave sensor optimized by the proposed method can efficiently identify the heavy metal ions content in the liquid.

源语言英语
主期刊名2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024
出版商Institute of Electrical and Electronics Engineers Inc.
13-14
页数2
ISBN(电子版)9798331505837
DOI
出版状态已出版 - 2024
活动2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024 - Macao, 澳门
期限: 19 11月 202420 11月 2024

出版系列

姓名2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024

会议

会议2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024
国家/地区澳门
Macao
时期19/11/2420/11/24

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