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Reliability Analysis and Application Research of Automatic Monitoring Technology for Acoustic Environment in Mining Areas
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Sangyang ZHOU1, 2, Yanju LIU1, 2, Jin XIAO1, 2, Rui LONG1, 2, Yuanyuan LIU1, 2, Bin TANG1, 2
Mining Research and Development | 2025, 45(9) : 225 - 232
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Mining Research and Development | 2025, 45(9): 225-232
Reliability Analysis and Application Research of Automatic Monitoring Technology for Acoustic Environment in Mining Areas
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Sangyang ZHOU1, 2, Yanju LIU1, 2, Jin XIAO1, 2, Rui LONG1, 2, Yuanyuan LIU1, 2, Bin TANG1, 2
Affiliations
  • 1.Hunan Province Environmental Monitoring Center, Changsha, Hunan 410019, China
  • 2.State Environmental Protection Key Laboratory of Monitoring for Heavy Metal Pollutants, Changsha, Hunan 410019, China
Published: 2025-09-25
Outline
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Noise pollution in mining areas is a prominent problem in the construction of green mines, and achieving precise and continuous monitoring of noise is crucial for environmental protection and occupational health. To address the the problem of insufficient timeliness and continuity in traditional manual noise monitoring applications in mining areas, taking a typical mining area in Hunan Province as the research background, eight functional areas including open-pit mines, beneficiation plants, transportation work areas, and living areas were selected to carry out 24-hour continuous manual and automatic noise monitoring. Linear regression and bias analysis were conducted to verify the reliability of automatic monitoring technology by comparing over 190 sets of equivalent sound level data per hour. The results show that the automatic monitoring and manual monitoring results are highly consistent, with linear regression slopes ranging from 0.983 5 to 1.055 4, correlation coefficients (r) above 0.997, and absolute deviations controlled within ±1 dB. It is fully verified that the automatic noise monitoring system has good applicability and accuracy in complex mining environments. The monitoring data also reveals that the noise level in the production area (70 - 85 dB) is significantly higher than that in the living area(<55 dB), and after conducting prevention and control measures, the sound level has been reduced by about 20−30 dB compared to the source intensity, with significant prevention and control effects. Finally, noise management suggestions are put for forward for the mine.

Acoustic environment in mining area  /  Automatic noise monitoring  /  Equivalent sound level  /  Sound source analysis  /  Noise prevention and control
周桑扬, 刘艳菊, 肖金, 龙睿, 刘源源, 唐彬. 矿区声环境自动监测技术可靠性分析与应用研究. 矿业研究与开发, 2025 , 45 (9) : 225 -232 .
Sangyang ZHOU, Yanju LIU, Jin XIAO, Rui LONG, Yuanyuan LIU, Bin TANG. Reliability Analysis and Application Research of Automatic Monitoring Technology for Acoustic Environment in Mining Areas[J]. Mining Research and Development, 2025 , 45 (9) : 225 -232 .
Year 2025 volume 45 Issue 9
58
24
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  • Receive Date:2025-08-20
  • Online Date:2026-10-28
  • Published:2025-09-25
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  • Received:2025-08-20
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Affiliations
    1.Hunan Province Environmental Monitoring Center, Changsha, Hunan 410019, China
    2.State Environmental Protection Key Laboratory of Monitoring for Heavy Metal Pollutants, Changsha, Hunan 410019, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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