An Integrated Multi-Sensor Fusion Architecture for Advanced Laboratory Security Surveillance
As the number of university laboratories continues to increase, laboratory safety issues are becoming increasingly prominent. Safety threats such as fires and theft pose serious challenges to the safety of personnel and property. To address the problems existing in the security systems of most university laboratories, this study has designed an intelligent security alarm system that has dual functions of fire detection and safety monitoring. The system uses temperature and humidity sensors, light intensity sensors, and smoke concentration sensors to determine whether to trigger a fire alarm. At the same time, it employs fingerprint recognition sensors and button password input to decide whether to activate the security alarm. If the collected data for temperature, humidity, light intensity, and smoke concentration exceeds the set thresholds, a buzzer and LED indicator light will issue an alarm signal. If the fingerprint information or password is entered incorrectly more than three times, the buzzer will also sound an alarm. The system allows personnel with administrative privileges to modify passwords or add new fingerprint information. In addition, the system transmits data to a mini-program through a communication module and a cloud platform, enabling administrators to remotely monitor the operating status and safety conditions of the system in real-time, so that potential safety hazards can be identified and addressed promptly. The intelligent security alarm system provides comprehensive protection for laboratory safety, helps to enhance the safety of laboratory personnel and equipment, and prevents significant losses.
Authors
- K. Zhai (ORCID: https://orcid.org/0000-0002-8432-3696)
- Zhijie Hu
- Saihan Li
- Ruibing Shen
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/eiecc64539.2024.10929173
- Primary Topic
- Chemical Safety and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Xi'an Eurasia University