Intelligent and ecological coal mining as well as clean utilization technology in China: Review and prospects

Wang, Guofa; Xu, Yongxiang; Ren, Huaiwei

doi:10.1016/j.ijmst.2018.06.005

Cited by 220 publications

(96 citation statements)

References 7 publications

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“…In the future, technology development will be intensified, and the upgrade cycle will be continuously shortened, so the potential of technological innovation and comprehensive research needs to be improved. In addition, advances in intelligent mining have to be vigorously made on the basis of artificial intelligence to fully transform the current mining pattern into a more reliable and smarter mining system [5].…”

Section: Promotion Of Digitalization and Informatization In Mining Areasmentioning

confidence: 99%

“…In China, the demand for mineral resources has increased in the past few decades [3,4]. It is expected that China will continue to be the largest coal market in the world by 2035 [5]. However, the mining industry is facing severe challenges related to environmental pollution and ecological damage that restrict its sustainable development [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and future framework of green mine construction in China based on the DPSIR model

Chen

Jiskani

Chen³

et al. 2020

Sustain Environ Res

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The idea of green mining was proposed as a practical approach to make the mining industry more sustainable than before. Green mining is a contemporary mining model centered on the sustainability of resources, environment, and socioeconomic benefits. Its purpose is to develop and apply technologies and processes that increase environmental performance while maintaining competitiveness throughout the entire mining cycle from exploration to post-closure. Although the green mining strategy has achieved considerable significance, there is still a considerable gap between its research and practice. This study evaluates the situation of green mine construction in China and suggests a future framework. First, based on the Driver-Pressure-State-Impact-Response model, an evaluation index system composed of 20 indicators was established. The principal component analysis was used to analyze the data collected from mines situated in Yongcheng, China. The results show that the construction of green mines has improved significantly over the years. Energy consumption and pollutant emissions were minimized, the protection of the ecological environment was realized, and secondary processing of mining waste was practiced. However, there are still some unresolved problems, such as the utilization of solid waste, the recovery ratio from ore processing, and the reuse ratio of coal washing water. Thus, the strategic framework has been proposed for improving green mine construction and the sustainability of the mining industry.

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Section: Promotion Of Digitalization and Informatization In Mining Areasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation and future framework of green mine construction in China based on the DPSIR model

Chen

Jiskani

Chen³

et al. 2020

Sustain Environ Res

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show abstract

“…However, the coal mine environment is complex and involves many kinds of equipment. These external sensors are easily damaged when utilized underground [12,13].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Novel Hydro Cylinder Displacement Sensor

Zhou¹,

Wen²,

Ren³

et al. 2021

Preprint

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In recent years, the coal mine intelligent development process has constantly advanced, putting forward higher requirements for monitoring mining equipment data. Sensor technology suitable for the special underground environment has also been developing. Hydraulic support is a key piece of equipment in fully mechanized coal mining. Monitoring the hydraulic support position and attitude has been an important part of coal mine intelligent development. In the present paper, a new oil cylinder displacement sensor was proposed. The oil cylinder translational motion was transformed into the magnet rotary motion via the motion conversion mechanism. The magnet angle was calculated by utilizing the single-chip microcomputer, and the oil cylinder expansion and contraction were calculated via the filtering algorithm. Results showed that the sensor accuracy could reach 0.5 mm. In recent years, the coal mine intelligent development process has constantly advanced, putting forward higher requirements for monitoring mining equipment data. Sensor technology suitable for the special underground environment has also been developing. Hydraulic support is a key piece of equipment in fully mechanized coal mining. Monitoring the hydraulic support position and attitude has been an important part of coal mine intelligent development. In the present paper, a new oil cylinder displacement sensor was proposed. The oil cylinder translational motion was transformed into the magnet rotary motion via the motion conversion mechanism. The magnet angle was calculated by utilizing the single-chip microcomputer, and the oil cylinder expansion and contraction were calculated via the filtering algorithm. Results showed that the sensor accuracy could reach 0.5 mm.

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“…In conditions of dynamic change of global community operation and development in the 21st century, global climate change, depletion of natural resources, transformation of human potential, development of information economy, issues of efficient use of all types of resources are becoming particularly relevant. Global agenda for the planet sustainable development, studied by Russian (Bolshakov & Shamaeva, 2017;Chernikova & Baranov, 2018;Chernikova, Zlatitskaya, & Klimashina, 2019;Marinchenko, 2019) and international scientists (Choi, Thangamani, & Kissock, 2019;Corsi, Pagani, Kovaleski, & Luiz, 2020;Hernandez, Paoli, & Cullen, 2017;Knuth, 2018;Li, Chiu, & Lin, 2019;Li, Stoeckl, King, 2019;Liu, Guo, & Nie, 2020;Pan, Pan, Hu, Tu, & Zheng, 2019;Qian, Wang, Wang, & Chen, 2019;Ruan, Yan, & Wang, 2020;Wang, Xu, & Ren, 2019), suggests integration of three components: economic, social and environmental one, whereas resource efficiency assessment maintaining balance between them is seen as a key component.…”

Section: Introductionmentioning

confidence: 99%

Resource Efficiency Assessment In Mineral Resources Management

Черникова¹

2020

European Proceedings of Social and Behavioural Sciences

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Intelligent and ecological coal mining as well as clean utilization technology in China: Review and prospects

Cited by 220 publications

References 7 publications

Evaluation and future framework of green mine construction in China based on the DPSIR model

Evaluation and future framework of green mine construction in China based on the DPSIR model

Design and Optimization of a Novel Hydro Cylinder Displacement Sensor

Resource Efficiency Assessment In Mineral Resources Management

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