The main projects and development status of noise forecasting and controlling on working face in coal mine

Peng, Youduo; Guo, Yang; Litao, Wu; Li, Xin; Xie, Wenjie; Dhillon, B.S.

doi:10.1007/s12404-010-0216-4

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…dumper trucks and cooling fans from bulldozers whose output is 0.25-0.5 kHz and 0.3-3.5 kHz, respectively (Vardhan et al, 2004;Vardhan et al, 2005). However, rock cutting drills produce dominant frequencies between 2 and 4 kHz (Pal et al, 2006), resulting in a broad spectrum of frequencies at the workface of coal mining sites (0.32 kHz to 8 kHz), but most in the mid to high range (Peng et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

The effects of mining machinery noise of different frequencies on the behaviour, faecal corticosterone and tissue morphology of wild mice ( Mus musculus )

Mancera

Lisle

Allavena

et al. 2017

Applied Animal Behaviour Science

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Mining noise has a wide variety of frequency spectra and is a potential source of stress for wildlife. We evaluated the effects of mining machinery noise on behaviour and associated physiological parameters at two isoenergetic frequency ranges: high (> 2 kHz) and low (≤2 kHz), the latter being less audible to mice, our model species. Effects of these two frequency spectra on behaviour, organ morphology and faecal corticosterone of wild mice were compared with a control treatment with no extra auditory stimuli. The mice exposed to high frequency noise spent less time in their nest than those exposed to low frequency noise or those in the control treatment, and they spent more time circling, especially anticlockwise, which in conjunction with elevated faecal corticosterone levels may reflect a greater right brain hemisphere stress-related response, particularly in females. Low frequency mining noise reduced grooming and circling, suggesting decreased physiological arousal due to mild stress. Low frequencies were also associated with increased faecal corticosterone in males compared to controls, which may be related to gender-based differences of the ear canal that affect frequency sensitivity. In conclusion, high frequency and low frequency mining machinery noise produced stress-related responses that may be important for the animals' welfare and survival.

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Section: Introductionmentioning

confidence: 99%

The effects of mining machinery noise of different frequencies on the behaviour, faecal corticosterone and tissue morphology of wild mice ( Mus musculus )

Mancera

Lisle

Allavena

et al. 2017

Applied Animal Behaviour Science

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“…(4) Safety and reliability principle The mining engineering system works with a wide range of projects, which are huge and subject to certain risks of natural factors. There are many uncertain risks, especially in the production of underground mines, compared to the general engineering activities that require a higher level of safety and reliability [29]. This requires strengthening the cultivation of safety and quality awareness among mining engineering practitioners, reinforcing the awareness of ensuring safe and reliable quality, and correctly handling the relationship between production and safety.…”

Section: Connotation and Basic Principles Of Mining Engineering Ethicsmentioning

confidence: 99%

Ethical Construction and Development of Mining Engineering Based on the Safe, Efficient, Green, and Low-Carbon Concept

Wang

Tian

et al. 2022

Sustainability

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Modern mining engineering has become a huge system project with the increased intensification and complexity of mining engineering, which interwinds, involving many factors. Ethical issues in the main body of mining engineering have become more and more prominent. What must complement ongoing discussions is a more professional and systematic analysis that engages with mining engineering on the socio-technical systems. In this paper, first, the connotation and basic principles of mining engineering ethics are put forward. Then, the ethical responsibilities that mining engineers may face are analyzed. It is suggested that the code of mining engineering ethics can, in practice, provide engineers with the necessary guidelines to avoid mine accidents caused by wrong decisions. In addition, a case base is introduced to train students to analyze engineering ethics in practical cases, and four typical case studies are discussed in detail. Then, the implementation paths of mining engineering ethics are studied, which are centered on the concept of safe, efficient, green, and low-carbon development. Finally, we suggest that improving the ethical norms of mining engineering, personnel training system, and moral supervision of mining projects will enable engineers to deal with the ethical issues of mining engineering more effectively, thereby improving the sustainability of mining engineering.

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“…With the continuous advancement of mechanization and automation in coal mining, the industry has enjoyed remarkable improvements in productivity and efficiency. However, as mining operations reach greater depths, the geological and coal seam conditions become increasingly complex and challenging to manage [1][2][3][4][5]. This added complexity introduces a host of hidden geological factors that, if not properly addressed, can rapidly escalate into severe disasters [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Compressive Sensing-Based Spectral Inversion Algorithm and Its Application in Detailed Fault Characterization

Shu,

Meng,

Liao

et al. 2024

Preprint

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The relentless advancement and integration of mechanization and intelligence within the coal mining industry, combined with the increasing depths of mining operations, necessitate significantly higher safety standards. This necessity arises due to the increasingly complex geological and coal seam conditions encountered as mining operations delve deeper into the earth. Traditionally, 3D seismic exploration technology has been fundamental in ensuring both operational efficiency and safety in the coal mining sector. However, despite its critical role, this technology still has limitations in detecting and characterizing small-scale geological structures which can pose substantial risks if not accurately identified and mitigated. To address these challenges, this paper introduces a sparsity-constrained adaptive hard thresholding algorithm designed to tackle the spectral inversion optimization problem with an norm constraint for the enhanced retrieval of reflection coefficients, thereby establishing a comprehensive workflow for enhancing seismic data resolution through compressed sensing spectral inversion. Real data validation has demonstrated that this method significantly enhances the resolution of seismic data while maintaining the amplitude integrity and fidelity of the original signals. This improvement allows for a more detailed and accurate characterization of small-scale geological features, which are critical in identifying and mitigating potential hazards within coal mining operations, thus offering robust support for the implementation of more effective safety protocols and disaster prevention strategies in coal mines.

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The main projects and development status of noise forecasting and controlling on working face in coal mine

Cited by 5 publications

References 11 publications

The effects of mining machinery noise of different frequencies on the behaviour, faecal corticosterone and tissue morphology of wild mice ( Mus musculus )

The effects of mining machinery noise of different frequencies on the behaviour, faecal corticosterone and tissue morphology of wild mice ( Mus musculus )

Ethical Construction and Development of Mining Engineering Based on the Safe, Efficient, Green, and Low-Carbon Concept

Compressive Sensing-Based Spectral Inversion Algorithm and Its Application in Detailed Fault Characterization

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