Results 21 to 30 of about 3,405 (209)

Integrating Machine Learning Techniques for Spatial Data Mining in Unmanned Aerial Vehicle (UAV) Applications

, 2023
Integrating Machine Learning Techniques for Spatial Data Mining in Unmanned Aerial Vehicle (UAV ...
Shahzab Hussain, Osama Butt
core   +1 more source

Application of unmanned aerial vehicles in construction industry [PDF]

, 2022
: Unmanned aerial vehicles, commonly known as drones, are widely used in many sectors of the economy, including in: mining, agriculture, medicine, ecology, transport.
Tomasz Nowobilski, Mariusz Szóstak
core   +1 more source

Parallel Mining Operating Systems: From Digital Twins to Mining Intelligence

, 2021
With the rapid development and modernization requirement of global coal industry, there is an emerging need for intelligent and unmanned mining systems. In this paper, the Intelligent Mining Operating System (IMOS) is proposed and developed, based on the
Cao, Dongpu, Wang, Ge, Wang, Fei-Yue, Long Chen, Fei-Yue Wang, Xiaoming Hu, Chen, Long, Ge Wang, Dongpu Cao, Long, Xiaoming, Li, Lingxi, Lingxi Li   +11 more
core   +1 more source

Research on unmanned driving system of mine-used truck

Gong-kuang zidonghua, 2021
With the deep exploration of large open-pit coal mines, the phenomenon of steep slopes and many bends has gradually increased. Moreover, the mine-used truck driving is difficult and there are hidden safety hazards. Therefore, a design scheme of unmanned driving system for open-pit coal mine trucks is proposed.
YAN Ling1, HUANG Jiade2
openaire   +2 more sources

A Novel Mining Approach for Data Analysis and Processing Using Unmanned Aerial Vehicles

, 2022
In the mining industry, smart surveying and exploration operations for the minerals are essential during mining missions. Usually, these missions are performed in remote areas that do not have a wireless communications infrastructure. This paper proposes
Muhannad Almutiry, Nasser Aedh Alreshidi, Hazim Shakhatreh, Ali Alenezi, Ahmad Sawalmeh   +4 more
core   +1 more source

Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive

Meitan xuebao
Under starting and braking conditions or non-uniform load conditions of large belt conveyors, the double-rotor permanent magnet drive system is susceptible to large vibrations caused by periodic excitations and perturbations.
Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG   +4 more
doaj   +1 more source

Prediction Parameters for Mining Subsidence Based on Interferometric Synthetic Aperture Radar and Unmanned Aerial Vehicle Collaborative Monitoring

, 2023
Coal mining induces surface subsidence, making rapid and precise monitoring of this subsidence a key area of current research. To address the limitations of D-InSAR technology in capturing large-gradient deformations in the central subsidence basin and ...
Hao Tan, Xuexiang Yu, Mingfei Zhu, Xu Yang, Yuchen Han, Shicheng Xie   +5 more
core   +1 more source

Identification method of coal gangue in special environment of coal mine based on BRS-YOLO algorithm

Meitan xuebao
To address the problems of low detection accuracy, missed detection, and false detection in coal gangue detection systems for underground coal mines caused by low illumination, high noise, motion blur, and other harsh environmental factors, a real-time ...
Deyong LI, Sihang ZHANG, Yongcun GUO, Shuang WANG, Yuhao YANG, Yuanbo GAO   +5 more
doaj   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Image enhancement and recognition algorithms for low-quality coal gangue in underground coal mines

Meitan kexue jishu
To address the issue of insufficient illumination in coal mine shafts leading to low brightness and contrast in captured images, which in turn affects the feature extraction performance of coal gangue detection algorithms, this paper proposes an object ...
Deyong LI, Yuanbo GAO, Yongcun GUO, Shuang WANG, Yuhao YANG, Sihang ZHANG   +5 more
doaj   +1 more source