scholarly journals A Triple-Correlation Framework for Demonstrating an Innovative Gas Warning System: A Case Study in China

2020 ◽  
Author(s):  
robert wu ◽  
Jianfeng Fan ◽  
Wanjun Yan ◽  
Bo Shen ◽  
Jeffrey Soar ◽  
...  

Abstract This research aims to develop an innovative gas warning system for improving production safety in the underground coal mining industry. Coal mining is an important sector for China’s economic development; gas monitoring systems are widely adopted as almost 60% of coal mining accidents are caused by gas. Existing gas monitoring systems mainly focus on simply detecting real-time data obtained from gas sensors. The literature review did not find gas monitoring systems that provide alarms or warnings from the correlation of gas with data from other sensors. This research aims to fill this gap to uncover hidden patterns and correlations between gas and temperature, wind, and dust, and incorporate data analytics into developing an innovative, integrated gas warning system. Correlational research was adopted using 328,320 data outputs obtained from ZhongXing Co. Ltd in Dec 2019. The study found strong relations between gas and temperature, wind, and dust. A Triple-Correlation Theoretical Framework and a Unified Modeling Language (UML) model were developed for an innovative gas warning system. As a result of this research, the ZhongXing Innovative Gas Warning System was developed and deployed for user acceptance testing on 28 Aug 2020.

2017 ◽  
Author(s):  
Margaret Armstrong ◽  
Alain G. Galli ◽  
Carlos Petter ◽  
Renato Aurelio Petter ◽  
Anna da Silva ◽  
...  

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 972
Author(s):  
Muhammad Mohsin ◽  
Qiang Zhu ◽  
Sobia Naseem ◽  
Muddassar Sarfraz ◽  
Larisa Ivascu

The mining industry plays a significant role in economic growth and development. Coal is a viable renewable energy source with 185.175 billion deposits in Thar, which has not been deeply explored. Although coal is an energy source and contributes to economic development, it puts pressure on environmental sustainability. The current study investigates Sindh Engro coal mining’s impact on environmental sustainability and human needs and interest. The Folchi and Phillips Environmental Sustainability Mathematics models are employed to measure environmental sustainability. The research findings demonstrated that Sindh Engro coal mining is potentially unsustainable for the environment. The toxic gases (methane, carbon dioxide, sulfur, etc.) are released during operational activities. The four significant environment spheres (atmosphere, hydrosphere, biosphere, and lithosphere) are negatively influenced by Thar coal mining. The second part of the analysis results shows that human needs and interests have a positive and significant relationship except for human health and safety with Sindh Engro coal mining. Environmental pollution can be controlled by utilizing environmentally friendly coal mining operations and technologies. Plantation and ecological normalization can protect the species, flora, and fauna of the Thar Desert. The government of Pakistan and the provincial government of Sind should strictly check the adaptation of environmental standards. Furthermore, the researchers should explore the environmental issues and solutions so that coal mining becomes a cost-efficient and environmental-friendly energy source in Pakistan.


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