摘要
电气火灾是威胁生活、生产安全的重要因素,针对传统电气火灾监控系统报警速度较慢的特点,本文提出了一种基于CAN总线以及STM32F103单片机的检测电流发热量的电气火灾监控系统,给出了系统的整体框架和组成,重点阐述了火灾监控器的硬件及软件部分设计思路。通过傅里叶展开得到了发热量计算公式,利用BP神经网络建立了波形和发热量的关系。对系统进行现场测试,结果表明:本系统可以有效检测电气火灾,且比温度传感器报警时间缩短了7 s。
Electrical fire is an important factor to threaten life,production safety,aiming at the characteristics of the electrical fire alarm monitoring and control system for slower,this paper proposes a current detection on the basis of CAN bus and STM32F103 microcontroller calorific value of electric fire monitoring system,gives the system's overall framework and composition,expounds the design of hardware and software part of fire monitor.The ui-t waveform of the circuit fault state was obtained by MATLAB arc simulation,the calorific value formula was obtained by Fourier expansion,and the relationship between the waveform and calorific value was established by BP neural network.The field test of the system shows that the system can effectively detect electrical fire,and the alarm time of the temperature sensor is shortened by 7 s.
作者
葛健炎
高龙琴
李志昂
周得永
GE Jian-yan;GAO Long-qin;LI Zhi-ang;ZHOU De-yong(The Yangzhou University,the Mechanical Engineering,Yangzhou 225100,China)
出处
《通信电源技术》
2020年第6期46-47,共2页
Telecom Power Technology
