Literature DB >> 25109543

Lightweight monitoring and control system for coal mine safety using REST style.

Bo Cheng1, Xin Cheng2, Junliang Chen1.   

Abstract

The complex environment of a coal mine requires the underground environment, devices and miners to be constantly monitored to ensure safe coal production. However, existing coal mines do not meet these coverage requirements because blind spots occur when using a wired network. In this paper, we develop a Web-based, lightweight remote monitoring and control platform using a wireless sensor network (WSN) with the REST style to collect temperature, humidity and methane concentration data in a coal mine using sensor nodes. This platform also collects information on personnel positions inside the mine. We implement a RESTful application programming interface (API) that provides access to underground sensors and instruments through the Web such that underground coal mine physical devices can be easily interfaced to remote monitoring and control applications. We also implement three different scenarios for Web-based, lightweight remote monitoring and control of coal mine safety and measure and analyze the system performance. Finally, we present the conclusions from this study and discuss future work.
Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Coal mine safety; REST style; Remote monitoring and control platform; Wireless sensor networks

Mesh:

Substances:

Year:  2014        PMID: 25109543     DOI: 10.1016/j.isatra.2014.07.004

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  2 in total

1.  Power Allocation Based on Data Classification in Wireless Sensor Networks.

Authors:  Houlian Wang; Gongbo Zhou
Journal:  Sensors (Basel)       Date:  2017-05-12       Impact factor: 3.576

2.  Research on Occupational Safety, Health Management and Risk Control Technology in Coal Mines.

Authors:  Lu-Jie Zhou; Qing-Gui Cao; Kai Yu; Lin-Lin Wang; Hai-Bin Wang
Journal:  Int J Environ Res Public Health       Date:  2018-04-26       Impact factor: 3.390

  2 in total

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