Research on fire alarm system of the intelligent building based on information fusion

In order to effectively reduce the hazards caused by fire and improve the accuracy of fire alarm systems, this paper proposes to use STM32 micro-controller as the control core, use the communication method of Zigbee wireless communication technology combined with CAN bus technology, apply the QPSO-BP neural network algorithm based on multi-sensor information fusion method to fire alarm judgment, and use the fire protection partition in the building as the basis for the distribution of distributed intelligent building fire alarm system. The results show that the distributed intelligent building fire alarm system designed in this paper meets the design requirements of the system while fully considering the economic benefits, makes up for the shortcomings of the traditional fire alarm system, and the algorithm output results are accurate and reliable, providing a reference for the design of building fire alarm systems.