Papers
1
Total Citations
5
H-Index
1
About
Kebin Miao is a researcher focused on intelligent safety systems, particularly in the domain of mine fire detection and prevention. His work centers on integrating robotics, multi-sensor fusion, and image recognition to enhance early warning capabilities in hazardous underground environments. His most-cited paper, "Research on multi feature fusion perception technology of mine fire based on inspection robot" (2021), proposes a novel early warning model that combines patrol robots with multi-sensor data and video image analysis. This approach aims to significantly improve the real-time accuracy of fire identification, addressing critical limitations of traditional monitoring methods. While his citation count is currently modest, his contributions are directly applicable to improving worker safety and operational efficiency in mining, an area of growing importance as automation and smart technologies are increasingly adopted in industrial safety. Miao’s work represents a practical step toward integrating autonomous inspection systems with advanced perception technologies for real-time hazard detection.
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Top Papers
- 1