A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
SRIKANTH, BANDA
- A Study on Roof Convergence Monitoring In Underground Coal Mining Using Embedded System
Authors
1 Assistant Professor, University College of Engineering, Kakatiya University, Kothagudem, Telangana, IN
2 Assistant Professor, Rock Mechanics and Underground Metal Mining, Department of Mining Engineering, Indian Institute of Technology (ISM) Dhanbad, IN
3 Professor, Department of ECE, Kakatiya University, Warangal, Telangana, IN
Source
Journal of Mines, Metals and Fuels, Vol 69, No 7 (2021), Pagination: 241 - 252Abstract
The prediction of roof convergence in mining area plays an important role in effectively preventing roof accidents and ensuring the safety of mine production. Because the roof pressure in the mine is affected by various natural and human factors, and there is a dynamic and fuzzy nonlinear relationship between the factors. At present, the lack of systematic management will seriously limit the analysis and judgment of the mine safety situation and lead to the occurrence of mine accidents. Strata control instrumentation and monitoring aim at the evaluation and monitoring of the trends of changing rock mechanical parameters such as dilation, load, convergence, stress and axial loading during mining. The objective of this paper is to provide an insight about the monitoring and analysis of convergence in underground coal mines. Also, it provides a comprehensive view of occupational accidents happened in mines along with the roof convergence and risk factors. Finally, the performance analysis of roof convergence rates is analysed.
Keywords
Roof convergence; strata; dilation; load; stress, axial loading.References
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- Slope Stability Monitoring System Based on The ORLPstarNET IoT Platform
Authors
1 Assistant Professor, University College of Engineering, Kakatiya University, Kothagudem, Telangana State, IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 3 (2022), Pagination: 124-128Abstract
A promising system for mining industries is deemed as a slope monitoring system (SMS). Additional benefits are possessed by the progression of wireless sensor network (WSN) along with Internet of Things (IoT) for real-time SMS. For observing slope failure (SF) in opencast mines (OCM), a low power, long-range (LoRa), along with an energyeffective solution are suitable. The mine officials along with workers become poorer as they could not have an enhanced smart mine monitoring system owing to severe environmental conditions of mines. For overcoming the existing challenge, a slope stability (SS) monitoring system is created by the work centered on the optimal routing low power star topology networking (ORLPStarNet) IoT platform. Optimal nodes are chosen by the work in a heterogeneous environment utilizing the prediction interval based Woodpecker Mating Algorithm (PI-WMA) technique for avoiding high energy consumption, storage limitation, regular disconnections, and limited bandwidth to gather the slope data. High throughput is attained with the selection of nodes followed by ORLPStarNet gateway networking. Then, the optimal routing of the path is performed utilizing balanced vector sparrow search algorithm (BVSSA) for data transfer. The problems linked with coverage, routing, cost, and loss of data are overcome by the developed gateway networking. Lastly, the data is saved into the IoT Cloud server. As of the server, the data is accessed by the mine officers, and the SS is monitored by them. For detecting slope collapse, the proposed framework system assists in examining the continual monitoring of the deformation, deformation rate (DR), along with inverse-velocity trends as revealed by the experimental analysis. Concerning throughput, the proposed one stays better when analogized to prevailing methods.Keywords
Slope stability, internet of things, opencast mine, sensor node, prediction interval based woodpecker mating algorithm (PI-WMA), optimal routing low power star topology networking (ORLPStarNet), balanced vector sparrow search algorithm (BVSSA).References
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