.png){kind=icon}
返回
Forest Fire Detection in Wireless Sensor Network Using Fuzzy Logic
.png){kind=icon}
PRE
AI
DOI：10.1109/CICSYN.2013.32.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The multi-purpose integrated homeland surveillance security systems are usually located in remote areas. Intelligent decision making (IDM) capability emerges as the primary feature in the realization of the T/R architecture. The aim of employing IDM is two-fold. First is to save energy, as the system operation is desired to be autonomous based on the available solar power and the corresponding battery-bank. Second is to activate the necessary action(s) required based on the pre-defined sensitivity levels. The current work is focused on the second aim using the pre-defined sensitivity levels. We propose to use a wireless sensor network (WSN) for data harvesting to be used as raw input data into our control system. Fire detection has been chosen to illustrate the IDM capability of the system. A Fuzzy Logic algorithm is developed using five membership functions as temperature, smoke, light, humidity and distance. Simulation results for the probability of fire based on the fuzzy rules using the status of the membership functions are presented in the paper.
Keyword:
Fire Detection
Fuzzy Logic
Homeland Security
Intelligent Decision Making System
Natural Hazards
Wireless Sensor Network
Wireless Surveillance
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
机构
引用论文
分享收藏Cross-neutralization of influenza A viruses mediated by a single antibody loop单抗体环介导的甲型流感病毒交叉中和.png)
Nature
OAAI
NatureIF0
OAAI分享收藏The solvation and ion condensation properties for sulfonated polyelectrolytes in different solvents—a computational study磺化聚电解质在不同溶剂中的溶剂化和离子缩合性能-计算研究
OAAI
OAAI分享收藏 没有更多内容
没有更多内容