[1]刘鑫璐,王文,潘勇,等.基于物联网的声表面波传感器阵列检测系统研究[J].郑州大学学报(工学版),2016,37(02):58-61.[doi:10.3969/j.issn.1671-6833.201512003]
　Liu Xinlu,Wang Wen,Pan Yong,et al.Design of the poison gas detection system with IOP and surface acoustic wave sensor array[J].Journal of Zhengzhou University (Engineering Science),2016,37(02):58-61.[doi:10.3969/j.issn.1671-6833.201512003]
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基于物联网的声表面波传感器阵列检测系统研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
37
期数:
2016年02期
页码:
58-61
栏目:
出版日期:
2016-04-18

文章信息/Info

Title:
Design of the poison gas detection system with IOP and surface acoustic wave sensor array
作者:
刘鑫璐; 王文; 潘勇; 穆宁; 邵晟宇
1.中国科学院声学研究所,北京,100190;2.防化研究院,北京,102205
Author(s):
Liu Xinlu1; Wang Wen1; Pan Yong2; Shao Shengyu2; Munning2
1. Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190; 2. Institute of Chemical Defense, Beijing, 102205
关键词:
Keywords:
surface acoustic wave; the Internet of things; gas sensor array; ZigBee; GPS
DOI:
10.3969/j.issn.1671-6833.201512003
文献标志码:
A
摘要:
针对目前日益突出的公共安全和生产安全问题的突发性和不确定性,提出了将声表面波传感器阵列与物联网技术相结合的毒害气体检测系统,并给出了毒害气体检测系统的设计方案,分别从物联网技术和声表面渡技术两方面验证了系统的可行性,该系统采用了ZigBee通信技术和GPS定位手段,利用涂覆不同敏感膜的4通道声表面波传感器阵列及相应的数据处理算法,实现了对H2S、SO2等毒害气体的检测和报警,组建了成熟的便于定位的传感器网络,系统经过实验验证达到了预期的设计目标.
Abstract:
Aiming at the suddenness and uncertainty of the increasingly prominent public safety and production safety issues, a toxic gas detection system combining surface acoustic wave sensor array and Internet of Things technology is proposed, and the design of the toxic gas detection system is given. The feasibility of the system is verified from two aspects of Internet of Things technology and surface acoustic wave technology. The system uses ZigBee communication technology and GPS positioning means, and uses 4-channel surface acoustic wave sensor arrays coated with different sensitive films and corresponding The data processing algorithm realizes the detection and alarm of toxic gases such as H2S and SO2, and establishes a mature sensor network for easy positioning. The system has achieved the expected design goal through experimental verification.

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