Results 1 to 10 of about 2,467 (134)

A Review of Intelligent Unmanned Mining Current Situation and Development Trend

Energies, 2022
Intelligent unmanned mining is a key process in coal mine production, which has direct impact on the production safety, coal output, economic benefits and social benefits of coal mine enterprises.
Kexue Zhang, Lei Kang, Xuexi Chen, Manchao He, Chun Zhu, Dong Li   +5 more
doaj   +3 more sources

Study on dynamic and static load characteristics and rockburst induced mechanism under the influence of fault [PDF]

Scientific Reports
The fault slip type rockburst has the characteristics of large impact range, strong suddenness, and severe impact manifestation. Its influencing factors are numerous; the triggering mechanism is complex, so it seriously threatens the safety production of
Anying Yuan, Peng Kong, Pu Wang, Chang Liu, Li Lu   +4 more
doaj   +2 more sources

Collaborative Production Planning Based on an Intelligent Unmanned Mining System for Open-Pit Mines in the Industry 4.0 Era

Machines
Open-pit mining is a cornerstone of industrial raw material extraction, yet it is fraught with safety concerns due to rough operating conditions. The advent of Industry 4.0 has introduced advanced technologies such as AI, the IoT, and autonomous systems,
Kui Liu, Bin Mei, Qing Li, Shuai Sun, Qingping Zhang   +4 more
doaj   +3 more sources

Prediction of Nuclear Magnetic Resonance Surface Relaxivity for Shales [PDF]

ACS Omega
Jiuhui Cheng, Shuitao Zhang, Xiaolong Song   +2 more
doaj   +2 more sources

Research on Intelligent Comprehensive Evaluation of Coal Seam Impact Risk Based on BP Neural Network Model

Energies, 2022
Coal seam impact risk assessment is the premise of coal mine safety, which can reduce the occurrence of underground impact pressure accidents and directly affect the safety, coal production, economic and social benefits of coal mining enterprises.
Kexue Zhang, Junao Zhu, Manchao He, Yaodong Jiang, Chun Zhu, Dong Li, Lei Kang, Jiandong Sun, Zhiheng Chen, Xiaoling Wang, Haijiang Yang, Yongwei Wu, Xingcheng Yan   +12 more
doaj   +1 more source

Research and Application of Mining-Induced Fracture Evolution and the Mechanism of Pressure Relief Gas Migration and Storage in Overlying Strata during Soft Rock Protective Layer Mining [PDF]

ACS Omega
Xiang Cheng, Yingjie Yang, Guangming Zhao, Yian Chen   +3 more
doaj   +2 more sources

Design of full-digital support control system based on dual CAN bus and 5G technologies

Meitan kexue jishu
A fully digital hydraulic support control system architecture integrating 5G and dual CAN bus is proposed to address persistent challenges including fragmented communication protocols, information isolation, and interoperability barriers among devices ...
Shilin LI, Guozhu LIU, Dongsheng BAO, Zhengke WANG, Chong SONG, Beitong NAN   +5 more
doaj   +1 more source

Review of key technologies and applications of snake-like robots for underground coal mine operations

Meitan kexue jishu
Driven by the urgent demand for intelligent development in coal mining, snake-like robots were considered as key equipment for addressing operational challenges in complex underground environments due to their bio-inspired mechanical structures and ...
Wenzhe GU, Lei ZHU, Tianqi SONG, Haixing CHENG, Yanbin YANG   +4 more
doaj   +1 more source

Coal-gangue recognition and density prediction via dual-modal data fusion of depth camera and DE-XRT

Meitan xuebao
To mitigate the thickness effect of the Dual Energy X-Ray Transmission (DE-XRT) system and achieve accurate identification and density prediction of coal and gangue within a wide thickness range, this study thoroughly summarizes the imaging principle of ...
Yongcun GUO, Qisheng LUO, Shuang WANG, Deyong LI, Lei HE   +4 more
doaj   +1 more source

Obstacle reliable detection methods in underground coal mines

Meitan kexue jishu
Intelligent technology for underground autonomous mobile operation equipment, such as mine trackless rubber-tyred vehicles and rockburst prevention drilling robots, constitutes a crucial component of current intelligent mine construction.
Xing WANG, Chao LI, Dong WEI, Zhenliang DONG   +3 more
doaj   +1 more source