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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-14
Number of pages2
ISBN (Electronic)9798331505837
DOIs
StatePublished - 2024
Event2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024 - Macao, Macao
Duration: 19 Nov 202420 Nov 2024

Publication series

Name2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024

Conference

Conference2024 IEEE International Workshop on Wireless Sensing Technologies and Applications, IWSA 2024
Country/TerritoryMacao
CityMacao
Period19/11/2420/11/24

Keywords

  • design optimization
  • heavy metal ion detection
  • microwave sensor

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