Zhencheng Liang
Papers
1
Total Citations
2
H-Index
1
About
Zhencheng Liang’s research focuses on intelligent dust removal systems in coal mines, leveraging the Internet of Things (IoT) to address critical environmental and safety challenges. His work centers on constructing foundational databases and applying smart technologies to mitigate the health risks of dust exposure—a leading cause of respiratory disease among miners—and to prevent catastrophic dust explosions. His most-cited paper, “Construction and Application of Basic-Element Database for Intelligent Dust Removal in Coal Mines” (2023), with 2 citations, lays the groundwork for integrating IoT-enabled sensors and data analytics into real-time dust monitoring and automated suppression. This contribution is pivotal for advancing smart mining safety, offering a scalable framework to reduce airborne particulate hazards. Liang’s research bridges industrial hygiene and IoT innovation, positioning him as an emerging voice in occupational health engineering. His work not only addresses immediate safety concerns but also aligns with global trends toward sustainable, technology-driven mining practices. For students and researchers, Liang’s approach exemplifies how targeted database design can transform traditional industries, making his contributions a valuable reference for those exploring IoT applications in hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1