###

DOI:

计算机系统应用英文版:2011,20(3):234-237

View/Add Comment 过刊浏览高级检索 HTML

←前一篇 | 后一篇→

码上扫一扫！

下载全文

基于ARM&μC/OS-Ⅱ的火灾复合探测系统

李文江¹, 滕勇¹, 刘南², 张馨予³

(1.辽宁工程技术大学电气与控制工程学院，辽宁葫芦岛 125105;2.吉林工业职业技术学院，吉林 132013;3.辽宁电力公司营口供电公司，辽宁营口 115002)

Fire Compound Detection System Based on ARM&μC/OS-Ⅱ

LI Wen-Jiang¹, TENG Yong¹, LIU Nan², ZHANG Xin-Yu³

(1.Department of Electrical and Control Engineering, Liao ning Technical University, Huludao 125000, China;2.Jilin Vocational College of Industry and Technology, Jilin 132013, China;3.Yingkou 115002, China)

摘要

图/表

参考文献

相似文献

本文已被：浏览 1815次下载 3143次
Received:June 04, 2010 Revised:July 08, 2010

中文摘要: 以ARM 嵌入式微处理器为处理芯片，实时操作系统μC/OS-Ⅱ为软件平台，设计了火灾气体复合探测系统。该系统复合探测了火灾早期的表征气体CO、CO₂，通过模糊C 均值聚类算法的优化迭代，更准确地确定真假火灾的最佳聚类中心，将基于过程特征的火灾判据移植到该系统，完成了系统调试。实验证明，系统能够很好的实现火灾的早期报警，具有高辨识力，大大降低了火灾报警的误报与漏报率，较普通报警系统提前5 分钟。

中文关键词: ARM 过程特征复合探测模糊聚类 μC/OS-II

Abstract:Based on the ARM embedded microprocessor and real-time Operation SystemμC/OS-Ⅱ, we develope a fire compound detection system which detects the the gas of CO and CO₂ in the early time when fire happens. Cluster the fire feature with the fuzzy C-means clustering and decide the center of clusters and then report the fire process features based on the fire criterion to the system. The system debuged them successfully. The results of experiments proved that the system can do well in early alarm.It has high identified ability and can decrease the rate of false or missing alarm signedly. Compared to normal system this system can alarm earlier for about 5 minutes.

keywords: ARM process information complex detection fuzzy clustering μC/OS-II

文章编号： 中图分类号： 文献标志码：

基金项目:

Author Name	Affiliation
LI Wen-Jiang	Department of Electrical and Control Engineering, Liao ning Technical University, Huludao 125000, China
TENG Yong	Department of Electrical and Control Engineering, Liao ning Technical University, Huludao 125000, China
LIU Nan	Jilin Vocational College of Industry and Technology, Jilin 132013, China
ZHANG Xin-Yu	Yingkou 115002, China

Author Name	Affiliation
LI Wen-Jiang	Department of Electrical and Control Engineering, Liao ning Technical University, Huludao 125000, China
TENG Yong	Department of Electrical and Control Engineering, Liao ning Technical University, Huludao 125000, China
LIU Nan	Jilin Vocational College of Industry and Technology, Jilin 132013, China
ZHANG Xin-Yu	Yingkou 115002, China

引用文本：
李文江,滕勇,刘南,张馨予.基于ARM&μC/OS-Ⅱ的火灾复合探测系统.计算机系统应用,2011,20(3):234-237
LI Wen-Jiang,TENG Yong,LIU Nan,ZHANG Xin-Yu.Fire Compound Detection System Based on ARM&μC/OS-Ⅱ.COMPUTER SYSTEMS APPLICATIONS,2011,20(3):234-237