Use-Case-Oriented Evaluation of Wireless Communication Technologies for Advanced Underground Mining Operations

Theissen, Marius; Kern, Leonhard; Hartmann, Tobias; Clausen, Elisabeth

doi:10.3390/s23073537

Cited by 4 publications

(1 citation statement)

References 71 publications

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“…The formation of the problem was undertaken subsequent to the finalization of the predetermined set of criteria and securing sensors. As revealed in Figure 2 , Accuracy (C1) [ 15 ], Reliability (C2) [ 16 ], Durability (C3) [ 17 ], Cost (C4) [ 11 ], Ease of Installation (C5) [ 18 ], Power Consumption (C6) [ 19 ], Response Time (C7) [ 20 ], Interoperability (C8) [ 21 ], Maintenance Requirements (C9) [ 22 ], Data Integration (C10) [ 23 ], Environmental Impact (C11) [ 24 ], Scalability (C12) [ 25 ], Regulatory Compliance (C13) [ 26 ], Adaptability to Varied Conditions (C14) [ 27 ], and User-Friendliness (C15) [ 28 ] are determined the most important criteria. Figure 2 illustrates the entirety of the decision system components examined in this current study.…”

Section: Methodsmentioning

confidence: 99%

Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor

Wang,

Cheng,

et al. 2024

Sensors

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This research addresses the paramount issue of enhancing safety and health conditions in underground mines through the selection of optimal sensor technologies. A novel hybrid MEREC-CoCoSo system is proposed, integrating the strengths of the MEREC (Method for Eliciting Relative Weights) and Combined Compromise Solution (CoCoSo) methods. The study involves a three-stage framework: criteria and sensor discernment, criteria weight determination using MEREC, and sensor prioritization through the MEREC-CoCoSo framework. Fifteen criteria and ten sensors were identified, and a comprehensive analysis, including MEREC-based weight determination, led to the prioritization of “Ease of Installation” as the most critical criterion. Proximity sensors were identified as the optimal choice, followed by biometric sensors, gas sensors, and temperature and humidity sensors. To validate the effectiveness of the proposed MEREC-CoCoSo model, a rigorous comparison was conducted with established methods, including VIKOR, TOPSIS, TODIM, ELECTRE, COPRAS, EDAS, and TRUST. The comparison encompassed relevant metrics such as accuracy, sensitivity, and specificity, providing a comprehensive understanding of the proposed model’s performance in relation to other established methodologies. The outcomes of this comparative analysis consistently demonstrated the superiority of the MEREC-CoCoSo model in accurately selecting the best sensor for ensuring safety and health in underground mining. Notably, the proposed model exhibited higher accuracy rates, increased sensitivity, and improved specificity compared to alternative methods. These results affirm the robustness and reliability of the MEREC-CoCoSo model, establishing it as a state-of-the-art decision-making framework for sensor selection in underground mine safety. The inclusion of these actual results enhances the clarity and credibility of our research, providing valuable insights into the superior performance of the proposed model compared to existing methodologies. The main objective of this research is to develop a robust decision-making framework for optimal sensor selection in underground mines, with a focus on enhancing safety and health conditions. The study seeks to identify and prioritize critical criteria for sensor selection in the context of underground mine safety. The research strives to contribute to the mining industry by offering a structured and effective approach to sensor selection, prioritizing safety and health in underground mining operations.

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Section: Methodsmentioning

confidence: 99%

Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor

Wang,

Cheng,

et al. 2024

Sensors

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RTEPMS: Real-Time Environmental Parameters Monitoring System Using IoT-Based LoRa 868-MHz Wireless Communication Technology in Underground Mines

Naik,

Reddy,

Raj

2024

IEEE Access

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In underground mining, the real-time monitoring of environmental parameters plays a pivotal role in ensuring the safety of mining operations and personnel. This article explores the integration of Long Range (LoRa) wireless communication technology and the Internet of Things (IoT) to bolster safety measures and prevent potential accidents within underground mines. The environmental parameters in underground mines include Oxygen (O2), Carbon Dioxide (CO2), Carbon Monoxide (CO), Methane (CH4), Nitric Oxide (NO), Nitrogen Dioxide (NO2), Sulphur Dioxide (SO2), Hydrogen Sulfide (H2S), Ethylene Oxide (EO), Temperature and Humidity. Currently, underground mines in India use portable multi-gas detector devices to measure environmental parameters. HPD13A LoRa 868 MHz based Real Time Environmental Parameters Monitoring System (RTEPMS) is designed and developed to facilitate real-time data collection in underground mines. In addition, the developed RTEPMS system is tested and evaluated at the open surface level and in one of the underground mines in India. The experimental results represent successful LoRa-based wireless communication established in an underground mine with data acquisition and real-time processing. Major parameters exceeding threshold limits in the underground mine environment include O2, CO, CO2, NO2, and EO. The data correlation between LoRa-based RTEPMS and multi-gas detector devices is 69.47% for CO2 and 72.38% for CO, while the values for CH4 and H2S are nearly zero, indicating their presence in underground mines is almost negligible. The RTEPMS is an affordable solution for smaller and less affluent underground mines. It alerts mine workers if environmental parameters exceed threshold limits during emergencies.

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Survey on TCP Congestion Control in Ad Hoc Wireless Networks

Chongnan,

Zhongda

2024

2024 36th Chinese Control and Decision Conference (CCDC)

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Use-Case-Oriented Evaluation of Wireless Communication Technologies for Advanced Underground Mining Operations

Cited by 4 publications

References 71 publications

Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor

Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor

RTEPMS: Real-Time Environmental Parameters Monitoring System Using IoT-Based LoRa 868-MHz Wireless Communication Technology in Underground Mines

Survey on TCP Congestion Control in Ad Hoc Wireless Networks

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