A study on roof convergence monitoring in underground coal mining using embedded system


Affiliations

  • University College of Engineering, Kakatiya University, Assistant Professor, Kothagudem, Telangana, India
  • Indian Institute of Technology (ISM) Dhanbad, Assistant Professor, Rock Mechanics and Underground Metal Mining, Department of Mining Engineering, Dhanbad, India
  • Kakatiya University, Professor, Department of ECE, Warangal, Telangana, India

Abstract

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

Full Text:

References

Mandal, Ranjeet, Maity, Tanmoy, Chaula, S. K. and Prasad, G. M. (2020): “Laboratory investigation on underground coal gasification technique with real-time analysisâ€, Fuel, vol. 275, 117865, 1010.1016/j. fuel. 2020.117865.

Singh, Satyendra K., Agrawal, Harshit and Singh, Awanindra P. (2017): “Rib stability: A way forward for safe coal extraction in Indiaâ€, International Journal of Mining Science and Technology, vol. 27, no. 6, pp. 1087-1091.

Can, Eary (2019): “Assessment of Risks Relevant to Underground Measurements for Coal Mining Production and Explorationâ€, Natural Resources Research, pp. 1-13, 10.1007/s11053-019-09570-w.

Dominguez. Claudia Rivera, Martinez, Ignacio Villanueva, Pena, Paloma María Piñón and Ochoa, Adolfo Rodríguez (2019): “Analysis and evaluation of risks in underground mining using the decision matrix risk-assessment (DMRA) technique, in Guanajuato, Mexicoâ€, Journal of Sustainable Mining, vol. 18, no. 1, pp. 52-59, 2019.

Wentao Yin, Gui Fu, Chun Yang, Zhongan Jiang, Kai Zhu, and Yan Gao (2017): “Fatal gas explosion accidents on Chinese coal mines and the characteristics of unsafe behaviors: 2000–2014â€, Safety science, vol. 92, pp. 173-179.

Xiao Wang and Fan-bao Meng (2018): “Statistical analysis of large accidents in China’s coal mines in 2016", Natural hazards, vol. 92, no. 1, pp. 311-325.

Young, Meriel, Walton, Gabriel and Holley, Elizabeth (2019): “Factors predictive of roof instability in addition to the existing CMRR criteria at two case study coal minesâ€, International Journal of Coal Geology, vol. 213, pp. 103255.

Mondal, Debjeet and Roy, P. N. S. (2019): “Fractal and seismic b-value study during dynamic roof displacements (roof fall and surface blasting) for enhancing safety in the longwall coal minesâ€, Engineering Geology, vol. 253, pp. 184-204.

Paul, Avinash, Murthy, Vemavarapu Mallika Sita Ramachandra, Prakash, Amar and Singh, Ajoy Kumar (2020): “Estimation of rock load for junctions based on roof failure cases for safe mining operationâ€, Arabian Journal of Geosciences, vol.13, no.20, pp.1-10.

Kong, Hailing and Wang, Luzhen (2018): “Seepage problems on fractured rock accompanying with mass loss during excavation in coal mines with karst collapse columnsâ€, Arabian Journal of Geosciences, vol. 11, no. 19, pp. 585.

Yan, Shuai, Wang, Rui, Bai, Jianbiao, Wu, Wenda and Elmo, Davide (2020): “An alternative approach to determine cycle length of roadway excavation in coal minesâ€, Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 2, pp. 553-560.

Knights, P., and Scanlan, B. (2019): “A study of mining fatalities and coal price variationâ€, International Journal of Mining Science and Technology, vol. 29, no. 4, pp. 599-602.

Muhammad Shahani, Niaz, Sajid, Muhammad Jawad, Zheng, Xigui, Brohi, Manzoor Ali, Jiskani, Izhar Mithal, Hassan, Fawad Ul and Qureshi, Abdullah Rasheed (2020): “Statistical analysis of fatalities in underground coal mines in Pakistanâ€, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, pp. 1-16, 10.1080/15567036.2020.1841340.

Ma, Qing, Tan, Yunliang, Zhao, Zenghui, Xu, Qiang, Wang, Jun and Ding, Ke (2018): “Roadside support schemes numerical simulation and field monitoring of gob-side entry retaining in soft floor and hard roofâ€, Arabian Journal of Geosciences, vol. 11, no. 18, pp.563.

Slezak, Dominik, Grzegorowski, Marek, Janusz Andrzej, Kozielski, Michal, Nguyen, Sinh Hoa, Sikora, Marek, Stawicki, Sebastian and Wróbel, Lukasz (2018): “A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal minesâ€, Information Sciences, vol. 451, pp. 112-133.

Wang, Ke, Zhuang, Xinwei, Zhao, Xiaohu, Wu, Wanrong and Liu, Bing (2020): “Roof Pressure Prediction in Coal Mine Based on Grey Neural Networkâ€, IEEE Access, vol. 8, pp. 117051-117061.

Jason Emery, IsmetCanbulat, and Chengguo Zhang (2020): “Fundamentals of modern ground control management in Australian underground coal minesâ€, International Journal of Mining Science and Technology, 10.1016/j.ijmst.2020.04.003.

Bayram Metin and Burgazoglu Huseyin, (2020): “The Relationships Between Control Measures and Absenteeism in the Context of Internal Controlâ€, Safety and Health at Work, 202010.1016/ j.shaw.2020.07.007.

Jain Anujeet, Eiris Ricardo, Gheisari Masoud, Wehle Andrew, (2020): “Safety immersive storytelling using narrated 360-degree panoramas: A fall hazard training within the electrical trade context, Safety Science, vol. 127, pp. 104703, 2020, 10.1016/j.ssci.2020.104703.

Michail Tzalamarias, Ioannis Tzalamarias, Andreas Benardos, and Vassilis Marinos (2018): “Room and pillar design and construction for underground coal mining in Greeceâ€, Geotechnical and Geological Engineering, vol. 37, no. 3, pp. 1729-1742,

Qiao Wanguan, Liu Quanlong, Li Xinchun, Luo Xixi, and Wan YuLong, (2018): “Using data mining techniques to analyze the influencing factor of unsafe behaviors in Chinese underground coal minesâ€, Resources Policy, vol. 59, pp. 210-216.

Lawson Heather E., Tesarik Douglas, Larson Mark K., and Abraham Habte, (2017): “Effects of overburden characteristics on dynamic failure in underground coal miningâ€, International Journal of Mining Science and Technology, vol. 27, no. 1, pp. 121-129.

Wu Yaqin, Chen Mengmeng, Wang Kai, and Fu Gui, (2019): “A dynamic information platform for underground coal mine safety based on internet of thingsâ€, Safety science, vol. 113, pp. 9-18.

Zhou Qun, Qin Botao, Ma Dong, and Jiang Ning, (2017): “Novel technology for synergetic dust suppression using surfactant-magnetized water in underground coal minesâ€, Process Safety and Environmental Protection, vol. 109, pp. 631-638.

Ghosh, G. K., and C. Sivakumar (2018): “Application of underground micro-seismic monitoring for ground failure and secure longwall coal mining operation: A case study in an Indian mineâ€, Journal of Applied Geophysics, vol. 150, pp. 21-39.

Ján Kaèur, Marek Laciak, Milan Durdán, and Patrik Flegner (2017): “Utilization of machine learning method in prediction of UCG dataâ€, In IEEE 18th International Carpathian Control Conference (ICCC), pp. 278-283, 2017.

Fa-qiang Su, Ken-ichiItakura, Gota Deguchi, and Koutarou Ohga (2017): “Monitoring of coal fracturing in underground coal gasification by acoustic emission techniquesâ€, Applied Energy, vol. 189, pp.142-156, 2017.

Zhang Jixiong, Zhang Qiang, Sam Spearing AJS, Miao Xiexing, Guo Shuai and Sun Qiang, (2016): “Green coal mining technique integrating mining-dressing-gas draining-backfilling-miningâ€, International Journal of Mining Science and Technology, vol. 27, no.1, pp. 17- 27.

Javadi, Mohammadi, Saeedi, Gholamreza and Shahriar, Kourosh (2019): “Developing a new probabilistic approach for risk analysis, application in underground coal miningâ€, Journal of Failure Analysis and Prevention, vol. 17, no. 5, pp. 989-1010.

Liang, Yuntao, Zhang, Jian, Wang, Liancong, Luo, Haizhu and Ren, Ting (2019): “Forecasting spontaneous combustion of coal in underground coal mines by index gases: A reviewâ€, Journal of Loss Prevention in the Process Industries, vol. 57, pp. 208- 222.

Liu, Quanlong, Fenfen Dou, and Xianfei Meng (2020): “Building risk precontrol management systems for safety in China’s underground coal minesâ€, Resources Policy, pp. 101631, 2020,10.1016/j.resourpol.101631

Kumar, Pramod, Gupta, Suprakash and Gunda, Yuga Raju (2020): “Estimation of human error rate in underground coal mines through retrospective analysis of mining accident reports and some error reduction strategiesâ€, Safety science, vol. 123, pp. 104555, 10.1016/j.ssci.2019.104555.

Safa Eslambolchi S, Grayson, R. Larry and Gernand, Jeremy M.(2019):, “Policy changes in safety enforcement for underground coal mines show minesize- dependent effectsâ€, Safety science, vol. 112, pp. 223-231,10.1016/j.ssci.2018.10.005.

Dursun, Arif Emre (2020): “Statistical analysis of methane explosions in Turkey’s underground coal mines and some recommendations for the prevention of these accidents: 2010–2017", Natural Hazards, vol. 104, no. 1, pp. 329-351.

Liu, Quanlong, Meng, Xianfei, Li, Xinchun and Luo, Xixi (2019): “Risk precontrol continuum and risk gradient control in underground coal miningâ€, Process Safety and Environmental Protection, vol. 129, pp. 210-219.

Czarny, Rafal, Marcak, Henryk, Nakata, Nori, Pilecki, Zenon and Isakow Zbigniew (2016): “Monitoring velocity changes caused by underground coal mining using seismic noiseâ€, Pure and Applied Geophysics, vol. 173, no. 6, pp. 1907-1916.

Konicek, Petr, Ptacek,Waclawik, Petr and Vlastimil, Kajzar (2019): “Long-term Czech experiences with rockbursts with applicability to today’s underground coal minesâ€, Rock Mechanics and Rock Engineering, vol. 52, no. 5, pp. 1447-1458.

Ali, MelihIpharand and Cukurluoz, Kivanc (2020): “Fuzzy risk assessment for mechanized underground coal mines in Turkeyâ€, International journal of occupational safety and ergonomics, vol. 26, no. 2, pp. 256-271.

Erdogan H. H., Duzgun H. S, and A. S. Selcuk-Kestel (2019): “Quantitative hazard assessment for Zonguldak Coal Basin underground minesâ€, International Journal of Mining Science and Technology 29, no. 3, pp. 453-46.

Mandal, Prabhat Kumar, Das, ArkaJyoti, Kumar, Nirmal, Bhattacharjee, Rana, Tewari, Subhashish and Kushwaha, Angad (2018): “Assessment of roof convergence during driving roadways in underground coal mines by continuous minerâ€, International journal of rock mechanics and mining sciences, vol. 108, pp. 169-178.

Trueman R., and I. Hutchinson, “The use of shield monitoring data for predicting in advance roof control problems on longwall facesâ€, Mining Technology, vol.127, no. 4, pp. 209-218, 2018.

Walentek, Andrzej, Janoszek, Tomasz, Prusek, Stanis³aw and Wrana, Aleksander (2018): “Influence of longwall gateroad convergence on the process of mine ventilation network-model testsâ€, International Journal of Mining Science and Technology, vol. 29, no. 4, pp. 585-590.

Hao, Yang, Wu, Yu, Ranjith, P. G. Zhang, Kai, Zhang, Houquan, Chen, Yanlong, Li, Ming and Li, Pan (2020): “New insights on ground control in intelligent mining with Internet of Thingsâ€, Computer Communications, vol. 150, pp. 788-798.

X, Zhang, H. Nguyen, X.N. Bui, H.A. Le, T. Nguyen- Thoi, H. Moayedi, H. and V. Mahesh (2018): Evaluating and predicting the stability of roadways in tunnelling and underground space using artificial neural network-based particle swarm optimization. Tunnelling and Underground Space Technology, vol.103, pp.103517, 10.1016/j.adhoc. 2018.06.008.

Zhang, Xiliang, Hoang Nguyen, Bui, Xuan-Nam, Le, Hong Anh, Trung Nguyen-Thoi, Moayedi, Hossein and Vinyas Mahesh (2020): “Evaluating and predicting the stability of roadways in tunnelling and underground space using artificial neural networkbased particle swarm optimizationâ€, Tunnelling and Underground Space Technology, vol. 103, pp. 103517, 10.1016/j.tust.2020.103517.

Tripathy, Debi Prasad and Ala, Charan Kumar (2018): “Identification of safety hazards in Indian underground coal minesâ€, Journal of Sustainable Mining, vol. 17, no. 4, pp. 175-183.

Dai, Song, Han, Bo, Liu, Shiliang, Li, Ningbo, Geng, Fei and Hou, Xizhong (2020): “Neural network–based prediction methods for height of water-flowing fractured zone caused by underground coal miningâ€, Arabian Journal of Geosciences, vol. 13, no. 12, PP. 1-11.

Mohanto, Sumant and Deb, Debasis (2020): “Prediction of Plastic Damage Index for Assessing Rib Pillar Stability in Underground Metal Mine Using Multi-variate Regression and Artificial Neural Network Techniquesâ€, Geotechnical and Geological Engineering 38, no. 1, pp. 767-790.

Verma, Abhiram Kumar, Kishore Kaushal and Chatterjee, Snehamoy (2016): “Prediction model of longwall powered support capacity using field monitored data of a longwall panel and uncertaintybased neural networkâ€, Geotechnical and Geological Engineering, vol.34, no.6, pp.2033-2052.

Mahdevari, Satar, Shahriar, Kourosh, Sharifzadeh, Mostafa and Tannant, Dwayne D. (2017): “Stability prediction of gate roadways in longwall mining using artificial neural networksâ€, Neural Computing and Applications, vol. 28, no. 11, pp. 3537-3555, 2017.

Ismail Lawal, Abiodum, Onifade, Moshood, Abdulsalam, Jibril, Aladejare, Adeyemi Emman, Gbadamosi, Abisola Risiwat and Said, Khadija Omar (2020): “On the Performance Assessment of ANN and Spotted Hyena Optimized ANN to Predict the Spontaneous Combustion Liability of Coalâ€, Combustion Science and Technology, pp.1-25.

Mark, Christopher and Gauna, Michael (2017): “Preventing roof fall fatalities during pillar recovery: a ground control success storyâ€, International Journal of Mining Science and Technology, vol. 27, no. 1, pp. 107-113.

Prusek S., Rajwa, S., Wrana, A. and Krzemieñ, A. (2016): “Assessment of roof fall risk in longwall coal mines. International Journal of Miningâ€, Reclamation and Environment, vol. 31, no. 8, pp.558-574, 10.1080/ 17480930.2016.1200897.

Jena, Satyabadi Kumar, Satyabadi Kumar, Lokhande, Ritesh Dharmraj, Pradhan,Manoj and Kumar Nirmal (2019): “Development of a model to estimate strata behavior during bord and pillar extraction in underground coal miningâ€, Arabian Journal of Geosciences, vol. 12, no. 7, pp. 242.

Singh, Sarvesh Kumar, Raval, Simit and Banerjee, Bikram (2020): “Roof bolt identification in underground coal mines from 3D point cloud data using local point descriptors and artificial neural networkâ€, International Journal of Remote Sensing, vol. 42, no. 1, pp. 367-377.

Ju Y., Zhu, Y., Xie, H., Nie, X., Zhang, Y., Lu, C. and Gao, F. (2019): “Fluidized mining and in-situ transformation of deep underground coal resources: a novel approach to ensuring safe, environmentally friendly, low-carbon, and clean utilisation. International Journal of Coal Science & Technology, vol. 6, no. 2, pp.184-196.

Mirzaei Aliabadi M., Aghaei, H., O., Kalatpour, A.R. Soltanian and A. Nikravesh (2018): Analysis of human and organizational factors that influence mining accidents based on Bayesian network. International journal of occupational safety and ergonomics, pp.1- 8, 10.1080/10803548.2018.1455411.

Li, Meng, Zhang, Jixiong, Liu, Zhan, Zhao, Xu and Huang, Peng, (2016): “Mechanical analysis of roof stability under nonlinear compaction of solid backfill bodyâ€, International Journal of Mining Science and Technology, vol. 26, no. 5, pp. 863-868.

Lu, Jun and Hasenfus, Greg (2019): “Challenges of mining the first right-handed longwall panel in a new reserve block in Pittsburgh Seamâ€, International Journal of Mining Science and Technology, vol. 29, no. 1, pp. 145-149, 2019.

Basarir, Hakan, Sun, Yuantian and Li, Guichen (2019): “Gateway stability analysis by global-local modeling approachâ€, International Journal of Rock Mechanics and Mining Sciences, vol. 113, pp. 31-40.


Refbacks

  • There are currently no refbacks.