Enhancing Coal Mining Efficiency

Author:

Sun Jialan1

Affiliation:

1. College of Mechanical & Energy Engineering, Beijing University of Technology, China & Ccteg China Coal Research Institute, China & Engineering Research Center for Technology Equipment of Emergency Refuge in Coal Mine, Beijing, China & Beijing Mine Safety Engineering Technology Research Center, Beijing, China

Abstract

Coal is a prominent energy resource for several countries. Of late, exploring the automatic management and control of coal mining has been a significant task. This article presents a framework for a mine-wide integrated automation management and control platform with the goal of advancing coal mining through unified data, models, platforms, and plans. Utilizing cutting-edge technologies, the platform offers resource management, real-time monitoring, remote control, statistical analysis, and intelligent alarm systems. Data access design ensures standardized data collection and exchange, fostering interoperability. A big data storage center manages heterogeneous data sources. The platform interface design emphasizes flexibility and scalability through containerized applications and microservices frameworks, streamlining deployment. The functional design encompasses subsystem configuration access, real-time monitoring, remote access, etc. A detailed evaluation is presented to demonstrate the significance of the proposed platform in terms of functionality, performance, and scalability.

Publisher

IGI Global

Reference31 articles.

1. Green coal mining and water clean utilization under Neogene aquifer in Zhaojiazhai coalmine of central China

2. Automation and robotization of underground mining in Poland.;Ł.Bołoz;The Journal of Applied Science,2020

3. The use of the neuro-fuzzy model to predict the methane hazard during the underground coal mining production process

4. Challenges of the polish coal mining industry on its way to innovative and sustainable development

5. Analysis of integrated automatic control system of coal mine based on Internet of things.;H.-Y.Ding;China Plant Engineering,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3