Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees

The novel paradigm of Internet of Things (IoT) is gaining recognition in the numerous scenarios promoting the pervasive presence of smart things around us through its application in various areas of society, which includes transportation, healthcare, industries, and agriculture. One more such applic...

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Autores principales:	Mudita Uppal, Deepali Gupta, Sapna Juneja, Gaurav Dhiman, Sandeep Kautish
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/7244cdc9610f4e668edd9bae89209e64
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spelling	oai:doaj.org-article:7244cdc9610f4e668edd9bae89209e642021-11-15T01:19:58ZCloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees2040-230910.1155/2021/8106467https://doaj.org/article/7244cdc9610f4e668edd9bae89209e642021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8106467https://doaj.org/toc/2040-2309The novel paradigm of Internet of Things (IoT) is gaining recognition in the numerous scenarios promoting the pervasive presence of smart things around us through its application in various areas of society, which includes transportation, healthcare, industries, and agriculture. One more such application is in the smart office to monitor the health of devices via machine learning (ML) that makes the equipment more efficient by allowing real-time monitoring of their health. It guarantees indoor comfort as per the user’s satisfaction as it emphasizes on fault prediction in real-life devices. Early identification of various types of faults in IoT devices is the key requirement in smart offices. IoT devices are becoming ubiquitous and provide an assistant to supervise an office that is regulated by ML and data received from sensors is stored in cloud. A recommender system facilitates the selection of an appropriate solution for faults in IoT-enabled devices to mitigate faults. The architecture proposed in this paper is used to monitor each and every office appliance connected via IoT technology using ML technique, and recommender system is used to recommend solutions for fault patterns without much human intervention. The ultrasonic motion sensor is used to fetch the information of employee availability in cubicles and data is sent to the cloud through the WiFi module. ATmega8 is used to control electrical appliances in the office environment. The significance of this work is to forecast the faults in IoT appliances which will have an impact on life and reliability of IoT appliances. The main objective is to design a prototype of a smart office using IoT that can control and automate workplace devices and forecast whether the device needs repairing or replacing, thus reducing the overall burden on the employee and helping out in increasing physical as well as mental health of the person.Mudita UppalDeepali GuptaSapna JunejaGaurav DhimanSandeep KautishHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Mudita Uppal Deepali Gupta Sapna Juneja Gaurav Dhiman Sandeep Kautish Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees
description	The novel paradigm of Internet of Things (IoT) is gaining recognition in the numerous scenarios promoting the pervasive presence of smart things around us through its application in various areas of society, which includes transportation, healthcare, industries, and agriculture. One more such application is in the smart office to monitor the health of devices via machine learning (ML) that makes the equipment more efficient by allowing real-time monitoring of their health. It guarantees indoor comfort as per the user’s satisfaction as it emphasizes on fault prediction in real-life devices. Early identification of various types of faults in IoT devices is the key requirement in smart offices. IoT devices are becoming ubiquitous and provide an assistant to supervise an office that is regulated by ML and data received from sensors is stored in cloud. A recommender system facilitates the selection of an appropriate solution for faults in IoT-enabled devices to mitigate faults. The architecture proposed in this paper is used to monitor each and every office appliance connected via IoT technology using ML technique, and recommender system is used to recommend solutions for fault patterns without much human intervention. The ultrasonic motion sensor is used to fetch the information of employee availability in cubicles and data is sent to the cloud through the WiFi module. ATmega8 is used to control electrical appliances in the office environment. The significance of this work is to forecast the faults in IoT appliances which will have an impact on life and reliability of IoT appliances. The main objective is to design a prototype of a smart office using IoT that can control and automate workplace devices and forecast whether the device needs repairing or replacing, thus reducing the overall burden on the employee and helping out in increasing physical as well as mental health of the person.
format	article
author	Mudita Uppal Deepali Gupta Sapna Juneja Gaurav Dhiman Sandeep Kautish
author_facet	Mudita Uppal Deepali Gupta Sapna Juneja Gaurav Dhiman Sandeep Kautish
author_sort	Mudita Uppal
title	Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees
title_short	Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees
title_full	Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees
title_fullStr	Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees
title_full_unstemmed	Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees
title_sort	cloud-based fault prediction using iot in office automation for improvisation of health of employees
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/7244cdc9610f4e668edd9bae89209e64
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Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees

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