Research on Key Technologies of Artificial Intelligence-Based Multi-Sensor Data Fusion Laboratory Safety Early Warning System
Year: 2025
Type: conference-paper
Abstract: Now the university laboratories are getting bigger and more complex, and the old security monitoring methods have not worked very well. This paper has a new method to use deep learning and a variety of sensor data fusion to do laboratory safety early warning. The system has two main parts, one is the improved time attention mechanism, the other is the multi-modal feature fusion network, which works together to intelligently monitor the laboratory environment and issue abnormal alarms in time.After testing, the new system was found to be much stronger than the old method, the alarm accuracy rate was 93.5%, and the reaction speed was kept within 400 milliseconds under normal working conditions. We also actually spent half a year, during which the system successfully found a lot of laboratory safety hazards, indicating that it really worked.
Authors: Yanlun Chen, Qian Liu
Institution: Hunan Automotive Engineering Vocational University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412920570