Low-carbon park fire safety monitoring system based on multi-sensor

Cunping Zhu; Yuping Liu; Xiaowei Bu

doi:10.1117/12.2672738

28 April 2023 Low-carbon park fire safety monitoring system based on multi-sensor

Cunping Zhu, Yuping Liu, Xiaowei Bu

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126103U (2023) https://doi.org/10.1117/12.2672738
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

With the continuous development and maturity of information technology, fire protection and security have always been the key issues that perplex the safety construction of closed places. In the face of the large demand for sensor equipment, part of the low-carbon park fire safety monitoring system has the problem that the corresponding time is too long. A low-carbon park fire safety monitoring system based on a multi-sensor is designed. The liquid crystal display screen of the LCD 1602 is selected as a display device, and the standard 16-pin interface is expanded to 18. It collects the fire and security linkage data of the low-carbon park, compresses the data volume on the basis of homogenization processing of the original data, and quickly confirms the location information according to the per-implanted electronic map. It then delineates the dangerous area and optimizes the alarm function of the monitoring system by using multiple sensors. The experimental results indicate that the average response time of the proposed system is 13.416s, which is 6.261s and 6.587s lower than the other two systems, indicating that it is more suitable for the actual scene after multi-sensor fusion. At the same time, it also enriches the theory and practice content of the monitoring system research field.

Citation Download Citation

Cunping Zhu, Yuping Liu, and Xiaowei Bu "Low-carbon park fire safety monitoring system based on multi-sensor", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126103U (28 April 2023); https://doi.org/10.1117/12.2672738

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