Multisensor device for emergency recognition in smart building environment

Dario Masucci, Carlo Venettacci, S. Panzieri, L. Colace
{"title":"Multisensor device for emergency recognition in smart building environment","authors":"Dario Masucci, Carlo Venettacci, S. Panzieri, L. Colace","doi":"10.1109/SAS48726.2020.9220067","DOIUrl":null,"url":null,"abstract":"In case of serious environmental disasters, such as floods, landslides and earthquakes, the first activity that an emergency management system must carry out is the detection, recognition and report of anomalous events. In order to be able to automatically perform these actions, it is necessary to have an efficient sensor network within the building. By means of a well- organized and high-performance sensor network, data from the field are acquired and processed to produce usable information at a high level. The Building Management System (BMS) therefore has information available on the occurrence of an anomalous event, whether caused by natural or intentional causes. The purpose of our work is to design and implement a cost-effective sensorized device, managed by an ATmega microcontroller and equipped with a Wi-Fi module for easier integration, able to detect and report potentially dangerous situations within a building. In particular, fires, floods, gas leaks and earthquakes were considered. Thanks to the integration of simple data analysis and data fusion algorithms, the platform is able to recognize and report the occurrence of emergency events within a building.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS48726.2020.9220067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In case of serious environmental disasters, such as floods, landslides and earthquakes, the first activity that an emergency management system must carry out is the detection, recognition and report of anomalous events. In order to be able to automatically perform these actions, it is necessary to have an efficient sensor network within the building. By means of a well- organized and high-performance sensor network, data from the field are acquired and processed to produce usable information at a high level. The Building Management System (BMS) therefore has information available on the occurrence of an anomalous event, whether caused by natural or intentional causes. The purpose of our work is to design and implement a cost-effective sensorized device, managed by an ATmega microcontroller and equipped with a Wi-Fi module for easier integration, able to detect and report potentially dangerous situations within a building. In particular, fires, floods, gas leaks and earthquakes were considered. Thanks to the integration of simple data analysis and data fusion algorithms, the platform is able to recognize and report the occurrence of emergency events within a building.
智能建筑环境中的多传感器应急识别装置
在发生洪水、滑坡、地震等严重环境灾害时,应急管理系统首先要做的就是异常事件的检测、识别和报告。为了能够自动执行这些操作,有必要在建筑物内建立一个有效的传感器网络。通过一个组织良好的高性能传感器网络,从现场获取数据并进行处理,以产生高层次的可用信息。因此,楼宇管理系统(BMS)有关于异常事件发生的可用信息,无论是由自然原因还是人为原因引起的。我们的工作目的是设计和实现一种具有成本效益的传感器设备,由ATmega微控制器管理,并配备Wi-Fi模块,以便于集成,能够检测和报告建筑物内潜在的危险情况。特别是火灾、洪水、煤气泄漏和地震都被考虑在内。该平台集成了简单的数据分析和数据融合算法,能够识别并报告建筑物内发生的突发事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信