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一种用于提高能源效率和减少可吸入粉尘的综合锚杆钻机钻孔控制算法。

A Comprehensive Roof Bolter Drilling Control Algorithm for Enhancing Energy Efficiency and Reducing Respirable Dust.

作者信息

Jiang H, Luo Y

机构信息

National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention, Pittsburgh, PA, USA.

Department of Mining Engineering, West Virginia University, Morgantown, WV, USA.

出版信息

Min Metall Explor. 2022 Feb 12;39(2):241-249. doi: 10.1007/s42461-022-00566-4.

Abstract

In underground coal mines, the drilling process in roof bolting operation could generate excessive amount of respirable coal and quartz dusts. Improper drilling control might also pose safety hazard and interrupt production. Therefore, an automated, high-efficiency drilling control system with safety features can be beneficial to the bolter personnel. In this research, a comprehensive drilling control algorithm has been developed to reduce the generation of respirable dust and to increase the drilling energy efficiency based on laboratory drilling test results and safety considerations. Specific energy is used to evaluate the energy efficiency. In addition, the ratio between specific energy and rock uniaxial compressive strength can be used as a basis for determining the rational drilling bite depth-typically a determined high one permissible by the driller power and drill steel. The test results show that to achieve and maintain a desired drilling bite depth for good drilling performance, a combination of relatively low rotational rate and a rationally high penetration is preferred. By monitoring the drilling rate, the system is able to evaluate the bit wear condition and improve drilling safety. In this paper, the developed drilling control algorithm for achieving a rational drilling bite depth is demonstrated. By adapting this drilling control algorithm, the drilling efficiency and bit condition can be monitored in real time, so the system can maintain a relatively high energy efficiency, generate less respirable dust, and avoid drilling failure.

摘要

在地下煤矿中,锚杆支护作业的钻孔过程会产生大量可吸入煤尘和石英粉尘。钻孔控制不当还可能带来安全隐患并影响生产。因此,一种具备安全特性的自动化高效钻孔控制系统对锚杆支护作业人员有益。在本研究中,基于实验室钻孔测试结果和安全考量,开发了一种综合钻孔控制算法,以减少可吸入粉尘的产生并提高钻孔能源效率。比能用于评估能源效率。此外,比能与岩石单轴抗压强度的比值可作为确定合理钻孔进尺深度的依据,通常这是一个由钻机功率和钻杆所能允许的确定的较大值。测试结果表明,为实现并保持良好钻孔性能所需的理想钻孔进尺深度,较优的做法是采用相对较低的转速和合理较高的钻进速度相结合。通过监测钻孔速度,该系统能够评估钻头磨损状况并提高钻孔安全性。本文展示了为实现合理钻孔进尺深度而开发的钻孔控制算法。通过采用这种钻孔控制算法,可实时监测钻孔效率和钻头状况,从而使系统能够保持较高的能源效率,产生较少的可吸入粉尘,并避免钻孔失败。

相似文献

1
A Comprehensive Roof Bolter Drilling Control Algorithm for Enhancing Energy Efficiency and Reducing Respirable Dust.
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本文引用的文献

1
The impacts of coal dust on miners' health: A review.
Environ Res. 2020 Nov;190:109849. doi: 10.1016/j.envres.2020.109849. Epub 2020 Aug 5.
2
A field study of a roof bolter canopy air curtain (2nd generation) for respirable coal mine dust control.
Int J Min Sci Technol. 2019 Sep;29(5):711-720. doi: 10.1016/j.ijmst.2019.02.005.
3
The mechanics of bolt drilling and theoretical analysis of drilling parameter effects on respirable dust generation.
J Occup Environ Hyg. 2018 Sep;15(9):700-713. doi: 10.1080/15459624.2018.1489136.
4
Experimental study on effects of drilling parameters on respirable dust production during roof bolting operations.
J Occup Environ Hyg. 2018 Feb;15(2):143-151. doi: 10.1080/15459624.2017.1395960.

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