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The Recent Technological Development of Intelligent Mining in China
Jinhua Wang,Zenghua Huang
Engineering 2017, Volume 3, Issue 4, Pages 439-444 doi: 10.1016/J.ENG.2017.04.003
In the last five years, China has seen the technological development of intelligent mining and theAn intelligent mining model was developed that permitted unmanned operation and single-person inspectionMiners are only required to monitor mining machines on the roadway or at the surface control center,since intelligent mining can be applied to extract middle-thick or thick coal seams.Finally, this paper discusses the prospects and challenges of intelligent mining over the next ten years
Keywords: Coal mine Intelligent mining Mechanized mining work face Longwall Automation Steering Committee Intelligent
Intelligent Petroleum Engineering Perspective
Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen
Engineering 2022, Volume 18, Issue 11, Pages 27-32 doi: 10.1016/j.eng.2022.06.009
Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.
Keywords: Artificial intelligence Machine learning Intelligent reservoir engineering Text mining Intelligentgeoscience Intelligent drilling engineering
Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment Review
Jian-guo Li, Kai Zhan
Engineering 2018, Volume 4, Issue 3, Pages 381-391 doi: 10.1016/j.eng.2018.05.013
This article analyzes the current research status and development trend of intelligent technologiesThree basic platforms are used for intelligent and unmanned mining: the positioning and navigation platformand unmanned mining were carried out in the mine.The experiment focused on the intelligent scraper, which can achieve autonomous intelligent driving byThe results show that unmanned mining can promote mining technology in China to an intelligent level
Keywords: Underground Autonomous Communication Navigation Intelligent
Frontiers in Personless Mining and Avenues of Their Advancement in China
Li Zhongxue,Li Cuiping,Liu Shuangyue
Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 16-20
Keywords: hard-rock mining automated mining personless mining personless mine
The Research of Mining the Mutative Knowledge With Extension Data Mining
Chen Wenwei
Strategic Study of CAE 2006, Volume 8, Issue 11, Pages 70-73
Keywords: extension information extension knowledge extension data mining extension reasoning
Recent Science and Technology Frontier for Exploitation of Underground Metal Resources
Yu Runcang
Strategic Study of CAE 2002, Volume 4, Issue 9, Pages 8-11
With the development of rockmechanics, extensive application of computer in mining area and promotionby intersection of multi-course, mining starts entering the science field, being regarded as skill alwaysand technology at the frontier for exploitation of underground metal resources: digital control of miningenvironment, wasteless mining, ocean mining and coping with threat of rockburst in deep mining, thatare of great importance to the development of mining course.
Keywords: mining metal resource digital control of mining environment wasteless mining
Da-zhao Gu
Frontiers of Engineering Management 2016, Volume 3, Issue 1, Pages 59-66 doi: 10.15302/J-FEM-2016010
Keywords: Western Mining Area coal mining water resources coal mine underground reservoirs
Driving Factors of Green Mining in Coal Mining Enterprises in China
Lin-xiu Wang,Mu-xi Yu,Si-jia Wang
Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 211-223 doi: 10.15302/J-FEM-2015043
Keywords: Green Mining driving factor Structural Equation Model empirical study
Ge Shirong , Zhang Xi , Xue Guanghui , Ren Huaiwei , Wang Hongwei ,Pang Yihui , Fan Lei
Strategic Study of CAE 2023, Volume 25, Issue 5, Pages 146-156 doi: 10.15302/J-SSCAE-2023.05.013
Keywords: coal machinery intelligence key technologies industrial upgrading low carbon
Energy and Mining Engineering Front 2019
Energy and Mining Engineering Project Team
Engineering Fronts 2019, Volume 3, Issue 1, Pages 73-102
Energy and Mining Engineering Front 2022
Energy and Mining Engineering Project Team
Engineering Fronts 2022, Volume 6, Issue 1, Pages 92-123
Digital Mine Research and Practice Based on Mining and Metallurgy System Engineering
An-lin Shao
Frontiers of Engineering Management 2016, Volume 3, Issue 1, Pages 67-73 doi: 10.15302/J-FEM-2016006
Keywords: exploration of lean iron ore mining and metallurgy system engineering digital mine wisdom mine
Anlin SHAO
Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 375-378 doi: 10.15302/J-FEM-2017108
Energy and Mining Engineering Front 2021
Energy and Mining Engineering Project Team
Engineering Fronts 2021, Volume 5, Issue 1, Pages 83-110
Energy and Mining Engineering Front 2023
Energy and Mining Engineering Project Team
Engineering Fronts 2023, Volume 7, Issue 1, Pages 94-127
Title Author Date Type Operation
The Recent Technological Development of Intelligent Mining in China
Jinhua Wang,Zenghua Huang
Journal Article
Intelligent Petroleum Engineering
Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen
Journal Article
Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment
Jian-guo Li, Kai Zhan
Journal Article
Frontiers in Personless Mining and Avenues of Their Advancement in China
Li Zhongxue,Li Cuiping,Liu Shuangyue
Journal Article
The Research of Mining the Mutative Knowledge With Extension Data Mining
Chen Wenwei
Journal Article
Recent Science and Technology Frontier for Exploitation of Underground Metal Resources
Yu Runcang
Journal Article
Technology Development and Engineering Practice for Protection and Utilization of Water Resources in Coal Mining
Da-zhao Gu
Journal Article
Driving Factors of Green Mining in Coal Mining Enterprises in China
Lin-xiu Wang,Mu-xi Yu,Si-jia Wang
Journal Article
Development of Intelligent Technologies and Machinery for Coal Mining in China’s Underground Coal Mines
Ge Shirong , Zhang Xi , Xue Guanghui , Ren Huaiwei , Wang Hongwei ,Pang Yihui , Fan Lei
Journal Article
Digital Mine Research and Practice Based on Mining and Metallurgy System Engineering
An-lin Shao
Journal Article