Research on Target-detection and Tracking of Intelligent Mine Trucks in Open-pit Mines by LI Yuanzhengyu, HU Yunqing, LONG Teng, HUANG Wenyu, PAN Wenbo, LI Peijie

“…Finally, verification experiment is carried out on the mine trucks based on ROS(robot operating system) framework and the results show that it can accurately detect mine trucks in the range of 200 m and objects of 30 cm in the range of 50 m, which demonstrate the stability, accuracy and reliability of the method.…”
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A PRISMA-driven systematic review of data mining methods used for defects detection and classification in the manufacturing industry by Blanka Bártová, Vladislav Bína, Lucie Váchová

“…Main findings The most frequently used data mining methods for defect detection are Bayesian network (BN) and Support vector machine (SVM). …”
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Application of Roadside Perception Method Based on Improved DeepSORT in Surface Mine by YUE Wei, LIN Jun, KANG Gaoqiang, YOU Jun, XU Yanghan, TONG Hao

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Assessment of Fractures in Excavation Damaged Zone around Roadways of an Iron Mine Using Optical Televiewer Detecting Method by Fengyu Ren, Xialiang Qiao, Jianli Cao

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The Design of a Leakage Detection System for Industrial and Mining Wastewater Pipelines Based on Multi-Electrode Method Integration by Zhang Xuanning, Nai Changxin, Liu Jingcai, Li Chenglong, Zhang Jie

“…To address the issue of industrial and mining wastewater leakage, this paper proposes a novel detection method for underground non-pressurized pipelines based on the combination of multiple electrical methods. …”
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Surface mine personnel object video tracking method based on YOLOv5- Deepsort algorithm by Jie Jiang, Guoliang Xie, Junjian Cui, Mingxiang Guo

“…Consequently, this thesis introduces an open-pit mine personnel tracking method that leverages the YOLOv5 model and the Deepsort algorithm. …”
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Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

“…Coal mine underground environment is more complex, video surveillance is susceptible to noise, light and dust and other factors interference, resulting in the existing target detection methods for mine personnel protective equipment there are low detection accuracy, poor real-time, model complexity and so on, proposed an improvement of YOLOv8 real-time monitoring of mine personnel protective equipment method, known as DBE-YOLO. …”
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Detecting Malware Based on DNS Graph Mining by Futai Zou, Siyu Zhang, Weixiong Rao, Ping Yi

“…The results indicate that our method is efficient and effective in detecting malwares.…”
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Low-power speech denoising method for non-stationary noise in underground mines by Yi YANG, Xiao TAN, Yajun CHANG, Keping WANG, Binbin LIU, Tian WANG

“…Based on the IMCRA algorithm, a non-stationary noise removal method MIMCRA is proposed for the speech characteristics of fully mechanized mining faces. …”
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Research on mine worker behavior detection in low-light underground coal mine environments by DONG Fangkai, ZHAO Meiqing, HUANG Weilong

“…To address this issue, a method for detecting mine worker behaviors in low-light underground environments is proposed, which includes two parts: a low-light image enhancement and a behavior detection. …”
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Machine Learning Method Application to Detect Predisposing Factors to Open-Pit Landslides: The Sijiaying Iron Mine Case Study by Jiang Li, Zhuoying Tan, Naigen Tan, Aboubakar Siddique, Jianshu Liu, Fenglin Wang, Wantao Li

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Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction by Wei Bai, Lan Xiong, Yubei Liao, Zhengyang Tan, Jingang Wang, Zhanlong Zhang

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A three-dimensional reconstruction method of coal mine tunnel fused with LiDAR and IMU by Qinghua MAO, Jianquan CHAI, Yanzhang CHEN, Xusheng XUE, Chuanwei WANG

“…In view of the problems of typical unstructured, degraded characteristics and large-scale environment in coal mine tunnel, and the 3D reconstruction of coal mine tunnel is prone to low pose estimation accuracy and large cumulative drift error, a 3D reconstruction method of coal mine tunnel fused with lidar and inertial measurement unit (IMU) is proposed. …”
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Study on the Identification Method of Planar Geological Structures in Coal Mines Using Ground-Penetrating Radar by Jialin Liu, Xiaosong Tang, Feng Yang, Xu Qiao, Fanruo Li, Suping Peng, Xinxin Huang, Yuanjin Fang, Maoxuan Xu

“…Based on this phenomenon, this paper proposes a geological radar advanced detection method using spatial scanning. This method overcomes constraints imposed by the underground coal mine environment on detection equipment, enhancing both detection range and accuracy compared to traditional approaches. …”
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Multi-Strategy Enhancement of YOLOv8n Monitoring Method for Personnel and Vehicles in Mine Air Door Scenarios by Lei Zhang, Hongjing Tao, Zhipeng Sun, Weixun Yi

“…To address the issues of slow speed and low efficiency associated with traditional detection methods in mine air door scenarios, this study proposes a CGSW-YOLO man-vehicle monitoring model based on YOLOv8n. …”
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Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data by Abdullah Ezam Ahmady, Abdolhamid Ansari, Seyyed Hossein Mojtahedzadeh

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Leakage detection and prevention technology for goaf areas in pillarless coal mining at Xinji No. 1 Mine by WU Zuyu, TANG Mingyun, GAO Shiqiang, LUO Xin, FANG Ling

“…To address the issues of leakage and spontaneous combustion in goaf areas of the Y-type ventilation working face pillarless extraction, as well as the adjacent old goaf areas, a combined method of energy potential measurement and tracer technology was used to detect air leakage in the sealing walls of the goaf areas of the 360606 working face at Xinji No. 1 Mine. …”
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Research on pedestrian detection technology for mining unmanned vehicles by ZHOU Libing, YU Zhengqian, WEI Jianjian, JIANG Xueli, YE Baisong, ZHAO Yexin, YANG Siliang

“…YOLOv3 and a coal mine key position personnel unsafe behavior recognition method based on improved YOLOv7 and ByteTrack experienced missed detections and false positives based on enhanced images, while the proposed pedestrian detection algorithm effectively mitigated these issues.…”
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Explainable AI Methods for Underwater Mine Warfare by Guy Junior Richard, Jerome Habonneau, Didier Gueriot, Jean-Marc Le Caillec

“…This is especially true in areas where following AI decisions may have serious consequences, such as underwater mine hunting to increase the AI acceptance. We study the application of XAI methods (backpropagation and perturbation) to the classification (mine versus nonmine) and identification (type of mines) of an object detected by a sonar on the seabed. …”
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Research on the Detection Method for Feeding Metallic Foreign Objects in Coal Mine Crushers Based on Reflective Pulsed Eddy Current Testing by Benchang Meng, Zezheng Zhuang, Jiahao Ma, Sihai Zhao

“…In response to the difficulties and poor timeliness in detecting feeding metallic foreign objects during high-yield continuous crushing operations in coal mines, this paper proposes a new method for detecting metallic foreign objects, combining pulsed eddy current testing with the Truncated Region Eigenfunction Expansion (TREE) method. …”
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