摘要
火灾是一种在时间和空间上失去控制的燃烧所造成的灾害,火灾探测技术是预防火灾发生的有效手段。本系统以PC机作为上位机,嵌入式控制系统ARM作为下位机,设计了RBF神经网络和基于ARM的模糊控制器。针对传统的火灾探测报警技术基于单一参数判定火灾,漏报、误报十分普遍的问题,将模糊控制和神经网络相结合实现了智能火灾报警的方法和软硬件系统,为火灾报警系统的研究和发展提供了一种新的思路。
Fire is the disaster caused by burning without control in time and space. Fire detecting technology is an effective way to forestall fire. The system designs RBF neural network and fuzzy controller based on embedded system ARM. To enunter the popular problems that traditional fire detecting alarm determines whether it is a fire based on single parameter and that it alarms less or wrongly, aiming at these problems, the paper completes the intelligent fire alarm system based on fuzzy neural network. It provides a new method for the research and design of the intelligent fire alarm system.
出处
《微计算机信息》
2009年第31期217-218,214,共3页
Control & Automation
关键词
火灾探测技术
人工神经网络
模糊系统
ARM
Fire detector technology
Artificial Neutral Networks
Fuzzy system
ARM
