Application of wireless sensor network technology based on artificial intelligence in security monitoring system

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-01-01 DOI:10.1515/comp-2022-0280

Yajuan Zhang, Ru Jing, Xiang Ji, Nan Hu

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Abstract

Abstract The safety monitoring system has been used to monitor and manage engineering safety operation. The application scope of the safety monitoring system is very wide. It has a wide range of applications in the fields of pipeline safety monitoring, electrical safety monitoring and household safety monitoring. This article studied the application process of the household safety monitoring system. Many home safety accidents are caused by inadequate monitoring of safety problems. Therefore, it is very important to establish a household safety monitoring system. Traditional home safety monitoring systems only rely on cameras for safety monitoring, and the traditional home safety monitoring system uses too few sensors. With the continuous development of wireless sensor network (WSN) technology, it is possible to build a sensor node network, but provides real-time information for home security monitoring to the greatest extent. This article compared the home safety monitoring system based on the WSN technology of artificial intelligence (AI) with the traditional home safety monitoring system. The experimental results showed that in the large-scale home environment, the average monitoring accuracy of the traditional home security monitoring system and the home security monitoring system based on the WSN technology of AI was 77.76 and 89.36%, respectively. In the small-scale home environment, the average monitoring accuracy of the traditional home safety monitoring system and the home safety monitoring system based on the WSN technology of AI were 87.63 and 94.43%, respectively. Monitoring accuracy refers to the accuracy of the household safety monitoring system in detecting safety issues. Therefore, the application of the WSN technology based on artificial intelligence to the home safety monitoring system can effectively improve the accuracy of home safety monitoring.

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基于人工智能的无线传感器网络技术在安防监控系统中的应用

摘要安全监控系统已被用于对工程安全运行进行监控和管理。安全监控系统的应用范围非常广泛。在管道安全监控、电气安全监控、家居安全监控等领域有着广泛的应用。本文研究了家庭安全监控系统的应用过程。许多家庭安全事故是由于对安全问题监测不足造成的。因此，建立一个家庭安全监控系统是非常重要的。传统的家庭安全监控系统仅依靠摄像头进行安全监控，传统的家庭安全监控系统使用的传感器太少。随着无线传感器网络(WSN)技术的不断发展，构建传感器节点网络成为可能，为家庭安防监控提供最大程度的实时信息。本文将基于人工智能WSN技术的家庭安全监控系统与传统的家庭安全监控系统进行了比较。实验结果表明，在大规模家庭环境下，传统家庭安防监控系统和基于AI的WSN技术的家庭安防监控系统的平均监控准确率分别为77.76和89.36%。在小规模家庭环境下，传统家庭安全监控系统和基于AI的WSN技术的家庭安全监控系统的平均监控准确率分别为87.63和94.43%。监控精度是指家庭安全监控系统检测安全问题的准确性。因此，将基于人工智能的WSN技术应用到家庭安全监控系统中，可以有效地提高家庭安全监控的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.