Design of Fire Protection System for High-rise Buildings Based on Intelligent Algorithm

Due to the characteristics of dense population, complex functions, difficult evacuation and rapid spread of fire in high-rise buildings, their fire safety has always been the focus of research. This paper takes a high-rise building in Yantai as a case study, combines the actual fire risk characteristics, and improves the fire prevention and control capabilities and rescue efficiency through scientific and reasonable fire protection system layout. A multi-dimensional data fusion algorithm is used to quantitatively evaluate the fire safety level of the building to achieve early identification and classification of fires. Based on the Internet of Things technology, a fire intelligent monitoring and early warning system is constructed to enhance the accuracy and timeliness of fire detection. The system uses efficient smoke extraction fan technology to quickly exhaust the smoke generated by the fire to the outdoors, reducing the threat of smoke retention and diffusion to personnel and property. The research aims to build a complete fire safety system, comprehensively improve the fire safety level of high-rise buildings, and provide theoretical support and technical reference for the design of intelligent fire protection systems. Experiments show that the equipment accuracy is 98%, and the average response time of the system is only 3.68 s. This method is feasible and effective in the fire protection system of high-rise buildings.