物联网和边缘计算作为CBRN环境中人为因素监测的使能技术

IF 0.2 Q4 POLITICAL SCIENCE
Pietro Rossetti, F. Garzia, Nicola Silverio Genco, A. Sacchetti
{"title":"物联网和边缘计算作为CBRN环境中人为因素监测的使能技术","authors":"Pietro Rossetti, F. Garzia, Nicola Silverio Genco, A. Sacchetti","doi":"10.4018/ijcwt.305859","DOIUrl":null,"url":null,"abstract":"Human Factor (HF) monitoring under the critical CBRN environment reduces the likelihood of errors or injuries by first responders who carry out operations within an unknown workspace. Indeed, thanks to the monitoring, analysis and assessment of physical and mental workload and manual handling of equipements by first responders, it is possible to increase safety, efficiency and effectiveness. The IoT and Edge computing, contextualizing the collected data, promises to enhance the CBRN situational awareness by working on the HFs aspects with a view to context-aware reasoning. IoT and edge computing enabling technologies envisage operators needs and behaviours by gathering information about biophysiological conditions, emotional state and operational data by first responders.This study aims to introduce the edge computer for data fusion in tactical networks and computational services, fully integrated in IoT solutions of remote monitoring of HFs. These latter, related to Human Performance and health of responders, may prove useful as innovative tools in CBRN incident management.","PeriodicalId":41462,"journal":{"name":"International Journal of Cyber Warfare and Terrorism","volume":"33 1","pages":"1-20"},"PeriodicalIF":0.2000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IoT and Edge Computing as Enabling Technologies of Human Factors Monitoring in CBRN Environment\",\"authors\":\"Pietro Rossetti, F. Garzia, Nicola Silverio Genco, A. Sacchetti\",\"doi\":\"10.4018/ijcwt.305859\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human Factor (HF) monitoring under the critical CBRN environment reduces the likelihood of errors or injuries by first responders who carry out operations within an unknown workspace. Indeed, thanks to the monitoring, analysis and assessment of physical and mental workload and manual handling of equipements by first responders, it is possible to increase safety, efficiency and effectiveness. The IoT and Edge computing, contextualizing the collected data, promises to enhance the CBRN situational awareness by working on the HFs aspects with a view to context-aware reasoning. IoT and edge computing enabling technologies envisage operators needs and behaviours by gathering information about biophysiological conditions, emotional state and operational data by first responders.This study aims to introduce the edge computer for data fusion in tactical networks and computational services, fully integrated in IoT solutions of remote monitoring of HFs. These latter, related to Human Performance and health of responders, may prove useful as innovative tools in CBRN incident management.\",\"PeriodicalId\":41462,\"journal\":{\"name\":\"International Journal of Cyber Warfare and Terrorism\",\"volume\":\"33 1\",\"pages\":\"1-20\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Cyber Warfare and Terrorism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijcwt.305859\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cyber Warfare and Terrorism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijcwt.305859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

关键CBRN环境下的人为因素(HF)监测减少了在未知工作空间内执行操作的急救人员出错或受伤的可能性。事实上,由于监测、分析和评估身体和精神工作量以及由第一反应人员手动处理设备,有可能提高安全性、效率和有效性。物联网和边缘计算,将收集到的数据进行上下文化,有望通过在HFs方面进行上下文感知推理来增强CBRN的态势感知。物联网和边缘计算支持技术通过收集有关第一响应者的生物生理状况、情绪状态和操作数据的信息,设想操作员的需求和行为。本研究旨在引入边缘计算机用于战术网络和计算服务中的数据融合,并将其完全集成到hf远程监控的物联网解决方案中。后者与人员绩效和响应者的健康有关,可作为CBRN事件管理的创新工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT and Edge Computing as Enabling Technologies of Human Factors Monitoring in CBRN Environment
Human Factor (HF) monitoring under the critical CBRN environment reduces the likelihood of errors or injuries by first responders who carry out operations within an unknown workspace. Indeed, thanks to the monitoring, analysis and assessment of physical and mental workload and manual handling of equipements by first responders, it is possible to increase safety, efficiency and effectiveness. The IoT and Edge computing, contextualizing the collected data, promises to enhance the CBRN situational awareness by working on the HFs aspects with a view to context-aware reasoning. IoT and edge computing enabling technologies envisage operators needs and behaviours by gathering information about biophysiological conditions, emotional state and operational data by first responders.This study aims to introduce the edge computer for data fusion in tactical networks and computational services, fully integrated in IoT solutions of remote monitoring of HFs. These latter, related to Human Performance and health of responders, may prove useful as innovative tools in CBRN incident management.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
×
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