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

Lina Chen; Zhenyu Liang; Yuanhong Meng; Caixia Feng; Xiaoqiang Su; Lijuan Dong

doi:10.3788/LOP242386

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

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

Lina Chen^1,2, Zhenyu Liang^1,2, Yuanhong Meng^1,2, Caixia Feng^1,2, Xiaoqiang Su^1,2, and Lijuan Dong^1,2、*

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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Figures & Tables(12)

Fig. 1. Theoretical model of second-order PT-symmetric passive wireless sensing system

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Fig. 2. Schematic diagram of second-order PT-symmetric spiral passive wireless sensing system

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Fig. 3. Experimental device diagram of second-order PT-symmetric spiral passive wireless sensing system

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Fig. 4. Experimental device diagram of spiral passive wireless sensor based on LC cavity

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Fig. 5. Reflection spectra of different moisture content in LC cavity spiral passive wireless sensing system

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Fig. 6. Resonance frequency and resonance frequency offset curves of samples with different moisture contents. (a) Resonance frequency of samples with different moisture contents; (b) resonance frequency offset of samples with different moisture contents

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Fig. 7. Reflection spectra of second-order PT-symmetric spiral passive wireless sensing system with different disturbance intensities ε

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Fig. 8. Influence of disturbance on the resonant frequency offset of the system. (a) Resonance frequency offset |f_n-f₀| at different disturbance intensities ε; (b) results in logarithmic coordinates

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Fig. 9. Relationship between sensitivity enhancement factor and disturbance of second-order PT-symmetric passive wireless sensing system

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Fig. 10. Relationship between resonant frequency and moisture content

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Table 1. Sample mass changes before and after soaking
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Table 1. Sample mass changes before and after soaking
Soaking time /min 0 2 4 6 8 10
Mass /g 178.92 179.64 179.73 180.69 180.74 181.26
Soaking time /min 12 14 16 18 20
Mass /g 181.42 181.67 181.90 181.93 181.95

Table 2. Comparison between second-order PT-symmetric passive wireless sensing system and drying method

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Table 2. Comparison between second-order PT-symmetric passive wireless sensing system and drying method

Resonant frequency /MHz	Moisture content		Absolute error /%	Relative error /%
Resonant frequency /MHz	Second-order PT-symmetric system /%	Drying method /%	Absolute error /%	Relative error /%
24.091	0.33	0.29	0.04	3.45
24.022	0.48	0.47	0.01	1.41
23.947	0.62	0.67	0.05	1.10
23.863	0.81	0.80	0.01	2.30
23.819	0.94	0.90	0.04	0.48
23.722	1.40	1.42	0.02	0.64
23.697	1.54	1.55	0.01	0.46
23.684	1.65	1.67	0.02	0.15
23.675	1.73	1.74	0.01	0.45
23.671	1.78	1.80	0.02	0.29

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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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