Papers
4
Total Citations
49
H-Index
4
About
Ziming Kou is a leading researcher in intelligent mining and automation, with a focus on enhancing safety and efficiency in underground coal mine operations. His work spans foreign object detection, pipeline robotics, and intelligent scheduling for mine transportation systems. Kou's most cited paper, "A Faster and Lighter Detection Method for Foreign Objects in Coal Mine Belt Conveyors" (2023, 32 citations), addresses the critical challenge of identifying hazardous materials like anchor rods and large coal chunks that can cause belt tearing and blockages, proposing a rapid detection method to prevent costly equipment damage and downtime. He also developed an adaptive pipeline-plugging robot (2022, 7 citations) to combat corrosion and impurity buildup in pipelines, and designed intelligent scheduling strategies for electric locomotive robots (2021, 6 citations) and mine transportation robots (2023, 4 citations), optimizing material distribution under complex constraints. Kou's contributions are pivotal for advancing automation in hazardous mining environments, directly improving operational safety and productivity. His work is widely cited by engineers and researchers seeking practical, real-time solutions for underground mining challenges.
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