Coal mine safety system for mining workers using LORA and WUSN

Suganthi, S.U.; Valarmathi, G.; Subashini, V.; Janaki, R.; Prabha, R.

doi:10.1016/j.matpr.2021.02.037

Cited by 13 publications

(3 citation statements)

References 8 publications

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“…The equipment’s dependability, monitoring accuracy, extraction efficiency, and ventilation stability may all be enhanced as a result. According to Suganthi et al ( 2021 ), long range low power technology (LORA) and wireless underground sensor networks (WUSN) can be used to transmit the monitored parameters from underground to the surface. Lööw et al ( 2019 ) stated that Mining 4.0 will alter more than only the technological environment of mining organizations and workplaces.…”

Section: Resultsmentioning

confidence: 99%

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Kursunoglu

2024

Environ Sci Pollut Res

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The structure of underground coal mines is vulnerable to many mishaps because of the challenging conditions of production and the unique features of the earth. These incidents could cause significant financial and production losses for the mines in addition to worker injury, disability, or death. In coal mines, methane explosions are a frequent threat. Establishing a safe work environment requires managing these problems with an accident control method. The current study used the fuzzy TOPSIS and fuzzy AHP techniques for this aim. The framework was used to tackle the four-alternative problem of underground coal mine explosion control method selection. To identify potential risks of a methane explosion, a data gathering survey was conducted as part of the suggested hybrid methodology. The fuzzy AHP was used to compute the fuzzy weights of the hazards. “Improper ventilation system” is ranked highest out of the 34 sub-risk factors. The fuzzy TOPSIS was then utilized to rank the explosion control methods using the weights. To assess the viability of the study’s conclusions, a sensitivity analysis was carried out. The findings indicate that “improving safety technology” and “financial investments” are the best ways to reduce such events. The results additionally indicate that the fuzzy TOPSIS approach in combination with the fuzzy AHP provides a helpful framework for dynamically assessing mine methane explosion accidents.

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Section: Resultsmentioning

confidence: 99%

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Kursunoglu

2024

Environ Sci Pollut Res

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“…They can react, sense and transmit or receive small chunks of data in real time by consuming less power compared to other short range communication protocols, such as WIFI or Bluetooth. LPWANs help massive IoT devices in various applications such as agriculture, mining, fleet management, smart meters, smart buildings [12,13,14,15]. LoRa was designed to be battery efficient and transmitting over a long range because of its adaptation of Chirp Spread Spectrum (CSS) modulation technique.…”

Section: Low Power Wide Area Networkmentioning

confidence: 99%

Implementation of Transmission Line Fault Detection System using Long Range Wireless Sensor Networks

Raja,

Thapa,

Harsha

et al. 2023

IJRITCC

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This paper proposes a fault detection system designed for transmission lines using Long-Range Wireless Sensor Network (LoRAWSN). The system is designed to detect and locate faults across transmission lines in real-time, which can significantly improve the reliability and efficiency of power transmission systems. A WSN will be built across transmission lines over an area. The faults identified by these sensor nodes is then transmitted to a central control unit, which analyses and displays the data. The LoRaWAN technology enables the WSN to cover long distances while consuming minimal power, making it ideal for monitoring transmission lines. The proposed fault detection system is evaluated through real world experiments, which demonstrate the feasibility and effectiveness of the proposed system. Overall, this paper presents a novel and practical approach for fault detection on transmission lines, which has the potential to improve the reliability and efficiency of power transmission systems.

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“…Interestingly, patch antennas showed improved channel capacities because of higher antenna gain [145]. Other IoT-based communication technologies in mines include 4G-5G hybrid networking [146], LoRA [147], and LoRAWAN [148].…”

Section: B Mitigating the Risksmentioning

confidence: 99%

Industrial Internet of Things for Safety Management Applications: A Survey

et al. 2022

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Industrial Internet of Things (IIoT) aims to achieve higher operational and management efficiencies by bridging machinery, equipment, human resources, and all other actors involved in an industrial environment. This bridging enables data flow over an often complex and heterogeneous communication network. It enables timely decision-making, which affects various aspects of the organization such as business, operations, maintenance, safety, stock, and logistics. Despite the plethora of works in the domain of IIoT dealing with the above aspects, very few works deal with safety in industries. Industrial safety, especially whenever it is intertwined with the safety of humans, is a critical domain and holds much scope for improvement in the context of IIoT-based solutions for industrial safety management. Through this survey, we provide a comprehensive overview of the safety issues prevalent in the industries. Subsequently, we classify and provide an in-depth analysis of the safety aspects in various application areas of IIoT such as healthcare, transportation, manufacturing, and mining. Finally, we examine the research gaps in various domains and recommend future research directions. We discuss diverse forms of technologies, prototypes, systems, models, methods, and applications to ensure the safety of individuals and the risks associated with them. The primary aim of this work is to analyze and synthesize the existing researches and acknowledge the applicability of these research works towards safety management using IIoT.

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Coal mine safety system for mining workers using LORA and WUSN

Cited by 13 publications

References 8 publications

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Implementation of Transmission Line Fault Detection System using Long Range Wireless Sensor Networks

Industrial Internet of Things for Safety Management Applications: A Survey

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