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iQMS：基于物联网的质量管理体系框架，用于追踪被隔离人员。

iQMS: IoT-based QMS framework for tracking of quarantined subjects.

作者信息

Hasan Iqbal, Rizvi S A M

机构信息

Department of Computer Science, Jamia Millia Islamia, New Delhi, India.

National Informatics Centre, Ministry of Electronics, IT and Communication, Government of India, New Delhi, India.

出版信息

Int J Inf Technol. 2022;14(5):2255-2263. doi: 10.1007/s41870-022-00968-z. Epub 2022 Jul 1.

DOI:10.1007/s41870-022-00968-z
PMID:35791433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9247961/
Abstract

The outbreak of Coronavirus Disease as a pandemic has resulted in a huge saddle on health infrastructure. Preventive measures such as quarantine, social distancing, isolation, and community containment play a pivotal role to contain the spread of exponentially growing COVID cases. This huge burden permitted authorities for institutional/home quarantine for the suspected persons. The biggest challenge for institutional/home quarantine is to monitor and track the movement of quarantined persons. These suspected cases pose a serious threat in outbreak and transmission of the disease. In this paper, an intelligent-Quarantine Monitoring System (iQMS) has been presented which comprises of a wearable IoT-based wristband, bundled with an android mobile app to track and report the absconding quarantined subjects in near real-time. The iQMS incorporates a cloud-based solution with IoT sensors using a global positioning system (GPS) based tracker for geo-fencing breach. The proposed system will facilitate the authorities in remote monitoring and tracking of identified subjects.

摘要

冠状病毒病作为一种大流行病的爆发给卫生基础设施带来了巨大负担。检疫、社交距离、隔离和社区防控等预防措施在遏制呈指数级增长的新冠病例传播方面发挥着关键作用。这一巨大负担使得当局允许对疑似人员进行机构/居家隔离。机构/居家隔离面临的最大挑战是监测和跟踪被隔离人员的行动。这些疑似病例对疾病的爆发和传播构成严重威胁。本文提出了一种智能隔离监测系统（iQMS），它由一个基于物联网的可穿戴腕带组成，并与一个安卓移动应用程序捆绑在一起，以近乎实时地跟踪和报告潜逃的被隔离对象。iQMS采用基于云的解决方案，结合物联网传感器和基于全球定位系统（GPS）的跟踪器来检测地理围栏违规情况。该系统将有助于当局对已识别对象进行远程监测和跟踪。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/bdc7e318e274/41870_2022_968_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/ee40a022a469/41870_2022_968_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/41ec6e397f8b/41870_2022_968_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/6eb627c57f81/41870_2022_968_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/6fb6910b86b5/41870_2022_968_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/7ed5077832a1/41870_2022_968_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/bdc7e318e274/41870_2022_968_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/ee40a022a469/41870_2022_968_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/41ec6e397f8b/41870_2022_968_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/6eb627c57f81/41870_2022_968_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/6fb6910b86b5/41870_2022_968_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/7ed5077832a1/41870_2022_968_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9f/9247961/bdc7e318e274/41870_2022_968_Fig8_HTML.jpg

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