Laser & Optoelectronics Progress, Volume. 62, Issue 15, 1528001(2025)

Study on Fine Detection of Coal Moisture Content by High-Sensitivity Wireless Sensing

Lina Chen1,2, Zhenyu Liang1,2, Yuanhong Meng1,2, Caixia Feng1,2, Xiaoqiang Su1,2, and Lijuan Dong1,2、*
Author Affiliations
  • 1Institute of Solid State Physics, Shanxi Datong University, Datong 037009, Shanxi , China
  • 2Shanxi Province Key Laboratory of Microstructure Electromagnetic Functional Materials, Shanxi Datong University, Datong 037009, Shanxi , China
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    Coal moisture content is an important index for evaluating coal quality and environmental governance results. Excessive coal moisture content can reduce coal quality, and insufficient coal moisture content can produce a large amount of coal dust and pollute the environment. In this study, non-Hermitian singularities in a second-order parity-time (PT)-symmetric system are used to study and analyze the moisture content of coal, and small changes in the moisture content are observed using the difference between the dielectric constants of water and coal. Compared with the traditional passive wireless sensor, the second-order PT-symmetric passive wireless sensing system improves detection sensitivity, generating a smaller error of less than 0.05% compared with the drying method. Compared with other detection technologies, this system has the advantages of online measurement of coal moisture content, good real-time performance, and high safety, which has certain significance for improving coal quality and the safety of the coal industry.

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    Lina Chen, Zhenyu Liang, Yuanhong Meng, Caixia Feng, Xiaoqiang Su, Lijuan Dong. Study on Fine Detection of Coal Moisture Content by High-Sensitivity Wireless Sensing[J]. Laser & Optoelectronics Progress, 2025, 62(15): 1528001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 6, 2025

    Accepted: Feb. 4, 2025

    Published Online: Jul. 16, 2025

    The Author Email: Lijuan Dong (donglijuan_2012@163.com)

    DOI:10.3788/LOP242386

    CSTR:32186.14.LOP242386

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