IoT Based Multimode Sensing Platform for Underground Coal Mines

Мишра, П. К.; Kumar, Subhash; Pratik,; Kumar, Manish

doi:10.1007/s11277-019-06466-z

Cited by 32 publications

(9 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As hundreds of mine workers are shown to be involved in machinery-related injuries routinely, the IoT would provide a highly valuable intelligent machine monitoring system [ 149 ] that could be effectively used in detrimental working conditions. Mishra et al developed and established a Zigbee-based WSN and extended it to IoT with an IP-enabled gateway [ 150 ]. Lastly, Autonomous Support Systems could reduce the need for human involvement in perilous mining operations such as roof support [ 151 ].…”

Section: Resultsmentioning

confidence: 99%

REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health

Pishgar

Issa

Sietsema

et al. 2021

IJERPH

View full text Add to dashboard Cite

Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many applications seen routinely in health care, industry, and education, and increasingly in workplaces. Although there is growing evidence of applications of AI in workplaces across all industries to simplify and/or automate tasks there is a limited understanding of the role that AI contributes in addressing occupational safety and health (OSH) concerns. Methods: This paper introduces a new framework called Risk Evolution, Detection, Evaluation, and Control of Accidents (REDECA) that highlights the role that AI plays in the anticipation and control of exposure risks in a worker’s immediate environment. Two hundred and sixty AI papers across five sectors (oil and gas, mining, transportation, construction, and agriculture) were reviewed using the REDECA framework to highlight current applications and gaps in OSH and AI fields. Results: The REDECA framework highlighted the unique attributes and research focus of each of the five industrial sectors. The majority of evidence of AI in OSH research within the oil/gas and transportation sectors focused on the development of sensors to detect hazardous situations. In construction the focus was on the use of sensors to detect incidents. The research in the agriculture sector focused on sensors and actuators that removed workers from hazardous conditions. Application of the REDECA framework highlighted AI/OSH strengths and opportunities in various industries and potential areas for collaboration. Conclusions: As AI applications across industries continue to increase, further exploration of the benefits and challenges of AI applications in OSH is needed to optimally protect worker health, safety and well-being.

show abstract

Section: Resultsmentioning

confidence: 99%

REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health

Pishgar

Issa

Sietsema

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…The proposed system simultaneously monitored five types of hazardous gases (i.e., CO2, CO, H2, CH4, NO2) through static and mobile robot sensing nodes. A Zigbee-based gas monitoring platform with an internet protocol (IP) enabled Wi-Fi gateway was designed by Mishra et al [13]. It continuously detected and recorded gases in underground mines, including O2, CO2, CH4, CO, H2S and H2.…”

Section: ) Gas and Dust Monitoringmentioning

confidence: 99%

“…Traditionally, wired sensors monitor working conditions at underground mines. However, a wired system can fail easily once the network has faults [12], significantly increasing the complexity of cable deployment and maintenance and reducing system scalability and capability [13]. With the development of sensor and communication technologies, wireless sensor networks (WSNs) have gained popularity and have been widely used in the mining industry.…”

Section: Introductionmentioning

confidence: 99%

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines

Zhang

Karimi

et al. 2023

IEEE Internet Things J.

View full text Add to dashboard Cite

Internet of Things (IoT) technology has been widely used for real-time monitoring of the environment, safety and production in underground mines. This paper presents the basic structure of a Mine Internet of Things (MIoT) system based on a widely used three-layer IoT architecture, classifies types of sensors commonly used in underground mines by specific application, and introduces available wired and wireless communication technologies and network topologies that can be applied in underground mines. This paper provides a comprehensive review of recent developments in IoT applications in underground mines to monitor various environmental parameters, including mine gas and dust concentrations, temperature, humidity and airflow, groundwater, ground support and seismic activity. MIoT applications for fire and hazard detection, personnel and equipment positioning, and production safety management have also been investigated. This paper highlights key challenges for the broad application of IoT technology in underground mines such as operation disruption, additional investment, limited battery life, poor quality of underground communication, and difficulty in data management. Further research on novel advanced techniques, such as selfpowered sensors, MIoT standardization and underground wireless communication technologies, is essential to improve the applicability and effectiveness of IoT applications in underground mines.

show abstract

“…[42], [44] Fig. 12 IoT Applications Domains [43] MSA ENGINEERING JOURNAL Volume 1 Issue 1, E-ISSN 2812-4928, P-ISSN 28125339 (https://msaeng.journals.ekb.eg//)…”

Section: Iot Technologies In Agriculture and Design Of Underground Sp...mentioning

confidence: 99%

Improving Citizens’ Health in Underground Public Interior Spaces Through AI Powered Green Walls

Shaheen

Nabih

Abdelmouez

2023

MSA Engineering Journal

View full text Add to dashboard Cite

In almost 600 BC, the Green Walls concept was presented. Most of the previous research has proved that the use of green walls in different types of interior spaces has its considerable merits in improving users' overall health and productivity. Interior Designers seem reluctant to integrate green walls in underground spaces due to its drawbacks as one of the most expensive man-made walls, needing scheduled water requirements, and its susceptibility to adversities such as fungi growth.

show abstract

IoT Based Multimode Sensing Platform for Underground Coal Mines

Cited by 32 publications

References 17 publications

REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health

REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health

Recent Advancements in IoT Implementation for Environmental, Safety, and Production Monitoring in Underground Mines

Improving Citizens’ Health in Underground Public Interior Spaces Through AI Powered Green Walls

Contact Info

Product

Resources

About