Applications of wireless sensor networks to improve occupational safety and health in underground mines

被引:34
作者
Sadeghi, Sanaz [1 ]
Soltanmohammadlou, Nazi [1 ,3 ]
Nasirzadeh, Farnad [2 ]
机构
[1] Univ Art, Fac Conservat & Restorat, Tehran, Iran
[2] Deakin Univ, Sch Architecture & Built Environm, Geelong, Vic 3220, Australia
[3] 56 Sakhai St,Hafez Ave, Tehran 1136813518, Iran
关键词
Wireless sensor network (WSN); Wireless underground sensor network; (WUSN); Occupational safety and health; Underground mine; WHOLE-BODY VIBRATION; MONTE-CARLO LOCALIZATION; COAL-MINES; COMMUNICATION-SYSTEM; MONITORING-SYSTEM; RADIO-WAVES; BACK-PAIN; ENVIRONMENT; NOISE; INDUSTRY;
D O I
10.1016/j.jsr.2022.07.016
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Introduction: The very complex and hazardous environment of underground mines may significantly contribute to occupational fatalities and injuries. Deploying wireless sensor network (WSN) technology has the potential to improve safety and health monitoring of miners and operators. However, the application of WSN in the industry is not fully understood and current research themes in this area are fragmented. Thus, there is a need for a comprehensive review that directly explores the contribution of WSNs to occupational safety and health (OSH) in underground mines. Method: This study aims to conduct a systematic literature review on the existing applications of WSNs for improving OSH in the underground mining industry to pinpoint innovative research themes and their main achievements, reveal gaps and shortcomings in the literature, recommend avenues for future scholarly works, and propose potential safety interventions. The major contribution of this review is to provide researchers and practitioners with a holistic understanding of the integration of WSN applications into underground mine safety and health management. Results: The review results have been categorized and discussed under three predominant categories including location monitoring and tracking, physiological and body kinematics monitoring, and environmental monitoring. Finally, seven major directions for future research and practical interventions have been identified based on the existing research gaps including: (1) further applications of WSNs for underground mining OSH management; (2) application of WSNs from research to real-world practice; (3) big data analytics and management; (4) deploying multiple WSNs-based monitoring systems; (5) integration of WSNs with other communication systems; (6) adapting WSNs to the Internet of Things (IoT) infrastructure; and (7) autonomous WSNs. (c) 2022 National Safety Council and Elsevier Ltd. All rights reserved.
引用
收藏
页码:8 / 25
页数:18
相关论文
共 176 条
[81]   How sounds influence user safety decisions in a virtual construction simulator [J].
Lu, Xueqing ;
Davis, Steven .
SAFETY SCIENCE, 2016, 86 :184-194
[82]   Effects of Temperature and Humidity on Radio Signal Strength in Outdoor Wireless Sensor Networks [J].
Luomala, Jari ;
Hakala, Ismo .
PROCEEDINGS OF THE 2015 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2015, 5 :1247-1255
[83]   Effectiveness Evaluation of Existing Noise Controls in a Deep Shaft Underground Mine [J].
Lutz, Eric A. ;
Reed, Rustin J. ;
Turner, Dylan ;
Littau, Sally R. ;
Lee, Vivien ;
Hu, Chengcheng .
JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE, 2015, 12 (05) :287-293
[84]  
Mahdavipour O, 2015, IEEE SENSOR, P703
[85]   Human health and safety risks management in underground coal mines using fuzzy TOPSIS [J].
Mahdevari, Satar ;
Shahriar, Kourosh ;
Esfahanipour, Akbar .
SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 488 :85-99
[86]   Data Mining Techniques for Wireless Sensor Networks: A Survey [J].
Mahmood, Azhar ;
Shi, Ke ;
Khatoon, Shaheen ;
Xiao, Mi .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,
[87]  
Maity T., 2012, Proceedings of the 2012 1st International Conference on Recent Advances in Information Technology (RAIT 2012), P148, DOI 10.1109/RAIT.2012.6194496
[88]  
Maity T., 2012, RESCUE PROTECTION SY
[89]  
Mannan P, 2016, 2016 SECOND IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN), P291, DOI 10.1109/ICRCICN.2016.7813673
[90]   Review of Wearable Device Technology and Its Applications to the Mining Industry [J].
Mardonova, Mokhinabonu ;
Choi, Yosoon .
ENERGIES, 2018, 11 (03)