A5012900230- Combustion and Detonation Processes
- Odor and Emission Control Technologies
- Indoor Air Quality and Microbial Exposure
- Fire dynamics and safety research
- Industrial Vision Systems and Defect Detection
- Infection Control and Ventilation
- Coal Properties and Utilization
- Advanced Neural Network Applications
- Tunneling and Rock Mechanics
- Cyclone Separators and Fluid Dynamics
- Wind and Air Flow Studies
- Currency Recognition and Detection
North China Electric Power University
2024
Hunan University of Science and Technology
2024
This study proposes a ventilation and dust control approach using double-forced air pipes at the tunnel excavation face, aiming to optimize reduction measures for underground coal mining environment. We designed physical model in proportion 11,139 face Zhangji Coal Mine of China Huaihe Energy Holding Group Company. To begin with, CFD numerical simulation was employed unveil basic laws pipe approach, including airflow characteristics concentrations. The orthogonal experimental method then...
As a crucial element in photovoltaic power generation systems, the condition of solar panels significantly impacts efficiency generation. The ability to accurately and promptly detect defects is essential for enhancing system performance. This study introduces novel model identifying modules, leveraging an enhanced version EfficientNet-V2. aims address challenges infrared images under conditions high-noise low-model efficiency. To high image noise blur, this article initially presents...
Pollutants, especially dust, are rarely uniformly distributed within ventilated air spaces due to non-uniform flow fields, particle inertia, gravitational settling, and diffusion. Thus, selecting suitable sampling locations for representative is a challenge. The objective of this study was determine the spatial temporal distributions dust ammonia concentrations(NH3) in swine building. Results useful design strategies that require limited studying pollutant transport. This conducted...