Papers
1
Total Citations
5
H-Index
1
About
Wenshuo Zhu is a researcher specializing in intelligent safety monitoring systems, with a particular focus on mine fire detection and industrial inspection robotics. His most-cited work, “Research on multi feature fusion perception technology of mine fire based on inspection robot” (2021), proposes an innovative early warning model that integrates patrol robots with multi-sensor data and image recognition to improve the real-time accuracy of fire identification in underground mines. By combining video imagery with sensor fusion, Zhu’s approach addresses critical gaps in traditional fire monitoring methods, offering a more reliable and automated solution for hazardous environments. This contribution has earned 5 citations and reflects his broader expertise in multi-sensor perception, image processing, and intelligent robotics for safety-critical applications. Zhu’s research is particularly valuable for advancing smart mining technologies, where timely and precise hazard detection can prevent catastrophic losses. His work stands as a practical step toward integrating autonomous systems into industrial safety protocols, making him a notable figure in the field of mine safety and robotic perception.
Research Focus
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Top Papers
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