Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

An earthquake emergency command system is designed based on cloud computing and the Internet of Things (IoT) to mitigate slow information acquisition, low processing efficiency, and weak information storage and communication ability in earthquake rescue. First, cloud computing technology is introduc...

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Autores principales:	Chen Cheng, Wensheng Chen, Yang Li, Yao Ji, Shichuan Niu, Ying Hou, Qiqian Guo, Xuchao Chai
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Cloud computing Internet of Things earthquake emergency command system satellite remote sensing data relative power spectrum brightness temperature difference value Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/3af8e28237d647729baf5ff58346f2b9
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spelling	oai:doaj.org-article:3af8e28237d647729baf5ff58346f2b92021-11-18T00:04:54ZAnalysis of Earthquake Emergency Command System According to Cloud Computing Methods2169-353610.1109/ACCESS.2020.3019833https://doaj.org/article/3af8e28237d647729baf5ff58346f2b92021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9178723/https://doaj.org/toc/2169-3536An earthquake emergency command system is designed based on cloud computing and the Internet of Things (IoT) to mitigate slow information acquisition, low processing efficiency, and weak information storage and communication ability in earthquake rescue. First, cloud computing technology is introduced, and a traditional earthquake emergency command system is analyzed comprehensively. Then, the characteristics of midwave infrared remote sensing data are explored before and after recent earthquakes in China based on satellite remote sensing data. Subsequently, a new earthquake emergency command system is built based on cloud computing and IoT technology along with data from satellite midwave infrared remote sensing. Finally, system feasibility is evaluated. The results show that surface radiation changes significantly before an earthquake; infrared brightness and temperature fluctuates drastically; and the abnormal region gradually approaches the epicenter of the earthquake. The peak value of the relative power spectrum in the earthquake is more than 9 times the average. In conclusion, the proposed emergency command system based on satellite remote sensing data, cloud computing, and IoT can yield good evaluation results (5.36), demonstrating that multidimensional satellite thermal infrared remote sensing data analysis can improve the accuracy of earthquake prediction. The proposed earthquake emergency command system based on satellite remote sensing data combined with cloud computing and IoT technology can also provide a basis for optimizing earthquake rescue strategies.Chen ChengWensheng ChenYang LiYao JiShichuan NiuYing HouQiqian GuoXuchao ChaiIEEEarticleCloud computingInternet of Thingsearthquake emergency command systemsatellite remote sensing datarelative power spectrumbrightness temperature difference valueElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 146970-146983 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cloud computing Internet of Things earthquake emergency command system satellite remote sensing data relative power spectrum brightness temperature difference value Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Cloud computing Internet of Things earthquake emergency command system satellite remote sensing data relative power spectrum brightness temperature difference value Electrical engineering. Electronics. Nuclear engineering TK1-9971 Chen Cheng Wensheng Chen Yang Li Yao Ji Shichuan Niu Ying Hou Qiqian Guo Xuchao Chai Analysis of Earthquake Emergency Command System According to Cloud Computing Methods
description	An earthquake emergency command system is designed based on cloud computing and the Internet of Things (IoT) to mitigate slow information acquisition, low processing efficiency, and weak information storage and communication ability in earthquake rescue. First, cloud computing technology is introduced, and a traditional earthquake emergency command system is analyzed comprehensively. Then, the characteristics of midwave infrared remote sensing data are explored before and after recent earthquakes in China based on satellite remote sensing data. Subsequently, a new earthquake emergency command system is built based on cloud computing and IoT technology along with data from satellite midwave infrared remote sensing. Finally, system feasibility is evaluated. The results show that surface radiation changes significantly before an earthquake; infrared brightness and temperature fluctuates drastically; and the abnormal region gradually approaches the epicenter of the earthquake. The peak value of the relative power spectrum in the earthquake is more than 9 times the average. In conclusion, the proposed emergency command system based on satellite remote sensing data, cloud computing, and IoT can yield good evaluation results (5.36), demonstrating that multidimensional satellite thermal infrared remote sensing data analysis can improve the accuracy of earthquake prediction. The proposed earthquake emergency command system based on satellite remote sensing data combined with cloud computing and IoT technology can also provide a basis for optimizing earthquake rescue strategies.
format	article
author	Chen Cheng Wensheng Chen Yang Li Yao Ji Shichuan Niu Ying Hou Qiqian Guo Xuchao Chai
author_facet	Chen Cheng Wensheng Chen Yang Li Yao Ji Shichuan Niu Ying Hou Qiqian Guo Xuchao Chai
author_sort	Chen Cheng
title	Analysis of Earthquake Emergency Command System According to Cloud Computing Methods
title_short	Analysis of Earthquake Emergency Command System According to Cloud Computing Methods
title_full	Analysis of Earthquake Emergency Command System According to Cloud Computing Methods
title_fullStr	Analysis of Earthquake Emergency Command System According to Cloud Computing Methods
title_full_unstemmed	Analysis of Earthquake Emergency Command System According to Cloud Computing Methods
title_sort	analysis of earthquake emergency command system according to cloud computing methods
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/3af8e28237d647729baf5ff58346f2b9
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_version_	1718425218474573824

Analysis of Earthquake Emergency Command System According to Cloud Computing Methods

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