Suppr超能文献

无人机技术在缓解新冠疫情中的作用。

Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic.

作者信息

Mohsan Syed Agha Hassnain, Zahra Qurat Ul Ain, Khan Muhammad Asghar, Alsharif Mohammed H, Elhaty Ismail A, Jahid Abu

机构信息

Optical Communications Laboratory, Ocean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, China.

Department of Biomedical Engineering, Biomedical Imaging Centre, University of Science and Technology of China, Hefei 5230026, China.

出版信息

Micromachines (Basel). 2022 Sep 25;13(10):1593. doi: 10.3390/mi13101593.

Abstract

The COVID-19 pandemic, caused by a new coronavirus, has affected economic and social standards as governments and healthcare regulatory agencies throughout the world expressed worry and explored harsh preventative measures to counteract the disease's spread and intensity. Several academics and experts are primarily concerned with halting the continuous spread of the unique virus. Social separation, the closing of borders, the avoidance of big gatherings, contactless transit, and quarantine are important methods. Multiple nations employ autonomous, digital, wireless, and other promising technologies to tackle this coronary pneumonia. This research examines a number of potential technologies, including unmanned aerial vehicles (UAVs), artificial intelligence (AI), blockchain, deep learning (DL), the Internet of Things (IoT), edge computing, and virtual reality (VR), in an effort to mitigate the danger of COVID-19. Due to their ability to transport food and medical supplies to a specific location, UAVs are currently being utilized as an innovative method to combat this illness. This research intends to examine the possibilities of UAVs in the context of the COVID-19 pandemic from several angles. UAVs offer intriguing options for delivering medical supplies, spraying disinfectants, broadcasting communications, conducting surveillance, inspecting, and screening patients for infection. This article examines the use of drones in healthcare as well as the advantages and disadvantages of strict adoption. Finally, challenges, opportunities, and future work are discussed to assist in adopting drone technology to tackle COVID-19-like diseases.

摘要

由新型冠状病毒引起的新冠疫情,已经影响到经济和社会标准,世界各地的政府和医疗监管机构对此表示担忧,并探索严厉的预防措施以对抗该疾病的传播和严重程度。一些学者和专家主要关注阻止这种独特病毒的持续传播。社交隔离、关闭边境、避免大型集会、非接触式交通和检疫是重要手段。多个国家采用自主、数字、无线和其他有前景的技术来应对这种新冠肺炎。本研究考察了一些潜在技术,包括无人机、人工智能、区块链、深度学习、物联网、边缘计算和虚拟现实,以努力降低新冠疫情的风险。由于无人机能够将食品和医疗物资运送到特定地点,目前它正被用作对抗这种疾病的一种创新方法。本研究旨在从多个角度审视无人机在新冠疫情背景下的可能性。无人机在运送医疗物资、喷洒消毒剂、广播通信、进行监测、检查以及筛查患者是否感染方面提供了有趣的选择。本文探讨了无人机在医疗保健中的应用以及严格采用的优缺点。最后,讨论了挑战、机遇和未来工作,以帮助采用无人机技术来应对类似新冠的疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c368/9612140/a2d4aa7fc9a8/micromachines-13-01593-g002.jpg

相似文献

1
Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic.
Micromachines (Basel). 2022 Sep 25;13(10):1593. doi: 10.3390/mi13101593.
2
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.
IEEE Internet Things J. 2021 Apr 19;8(16):12826-12846. doi: 10.1109/JIOT.2021.3073904. eCollection 2021 Aug 15.
3
The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis.
Expert Syst. 2022 Jul;39(6):e12834. doi: 10.1111/exsy.12834. Epub 2021 Oct 6.
4
U-Space and UTM Deployment as an Opportunity for More Complex UAV Operations Including UAV Medical Transport.
J Intell Robot Syst. 2022;106(1):12. doi: 10.1007/s10846-022-01681-6. Epub 2022 Aug 24.
5
The Role of Emerging Technologies to Fight Against COVID-19 Pandemic: An Exploratory Review.
Trans Indian Natl Acad Eng. 2022;7(1):157-174. doi: 10.1007/s41403-022-00322-6. Epub 2022 Feb 3.
7
8
A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic.
Future Gener Comput Syst. 2021 Feb;115:1-19. doi: 10.1016/j.future.2020.08.046. Epub 2020 Sep 3.
9
Distributed Blockchain-Based Platform for Unmanned Aerial Vehicles.
Comput Intell Neurosci. 2022 Aug 31;2022:4723124. doi: 10.1155/2022/4723124. eCollection 2022.
10
A framework for information technology-based management against COVID-19 in Iran.
BMC Public Health. 2022 Feb 26;22(1):402. doi: 10.1186/s12889-022-12781-1.

引用本文的文献

1
Application and effectiveness study of tripartite linkage nursing in prediabetes type 2 diabetes: A retrospective study.
Medicine (Baltimore). 2025 May 9;104(19):e42138. doi: 10.1097/MD.0000000000042138.
3
Applications, challenges, and solutions of unmanned aerial vehicles in smart city using blockchain.
PeerJ Comput Sci. 2024 Feb 8;10:e1776. doi: 10.7717/peerj-cs.1776. eCollection 2024.
4
Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects.
Heliyon. 2024 Feb 9;10(4):e25754. doi: 10.1016/j.heliyon.2024.e25754. eCollection 2024 Feb 29.
5
Editorial for the Special Issue on Micro Air Vehicles.
Micromachines (Basel). 2023 Mar 24;14(4):721. doi: 10.3390/mi14040721.
6
A Novel Social Distancing Approach for Limiting the Number of Vehicles in Smart Buildings Using LiFi Hybrid-Network.
Int J Environ Res Public Health. 2023 Feb 15;20(4):3438. doi: 10.3390/ijerph20043438.
7
Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends.
Intell Serv Robot. 2023;16(1):109-137. doi: 10.1007/s11370-022-00452-4. Epub 2023 Jan 16.

本文引用的文献

1
Security analysis of drones systems: Attacks, limitations, and recommendations.
Internet Things (Amst). 2020 Sep;11:100218. doi: 10.1016/j.iot.2020.100218. Epub 2020 May 8.
2
A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19.
Int J Hosp Manag. 2021 Feb;93:102758. doi: 10.1016/j.ijhm.2020.102758. Epub 2020 Nov 30.
3
SanJeeVni: Secure UAV-Envisioned Massive Vaccine Distribution for COVID-19 Underlying 6G Network.
IEEE Sens J. 2022 Jul 12;23(2):955-968. doi: 10.1109/JSEN.2022.3188929. eCollection 2023 Jan.
4
Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics.
IEEE trans Intell Transp Syst. 2021 Sep 29;23(12):25106-25114. doi: 10.1109/TITS.2021.3113787. eCollection 2022 Dec.
6
A Comprehensive Review of Micro UAV Charging Techniques.
Micromachines (Basel). 2022 Jun 20;13(6):977. doi: 10.3390/mi13060977.
7
COVID-19 Isolation Control Proposal UAV and UGV for Crowded Indoor Environments: Assistive Robots in the Shopping Malls.
Front Public Health. 2022 May 31;10:855994. doi: 10.3389/fpubh.2022.855994. eCollection 2022.
8
Real-Time and Accurate UAV Pedestrian Detection for Social Distancing Monitoring in COVID-19 Pandemic.
IEEE Trans Multimedia. 2021 Apr 28;24:2069-2083. doi: 10.1109/TMM.2021.3075566. eCollection 2022.
9
Improved Feature Point Pair Purification Algorithm Based on SIFT During Endoscope Image Stitching.
Front Neurorobot. 2022 Feb 15;16:840594. doi: 10.3389/fnbot.2022.840594. eCollection 2022.
10
Using artificial intelligence technology to fight COVID-19: a review.
Artif Intell Rev. 2022;55(6):4941-4977. doi: 10.1007/s10462-021-10106-z. Epub 2022 Jan 3.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验