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Research Article |

Novel Predictive Control and Monitoring System based on IoT for Evaluating Industrial Safety Measures

Author(s): Priyadarshani Shivkumar Mali1, Dankan Gowda V2, Hemant. A. Tirmare3, Varsha Amol Suryawanshi4 and Abhay Chaturvedi5

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 4

Publisher : FOREX Publication

Published : 20 November 2022

e-ISSN : 2347-470X

Page(s) : 1050-1057

DOI: https://doi.org/10.37391/IJEER.100448

Abstract

In this paper, the Accident Reduction Model (ARM) technique has been used to analyze different critical criteria in various industries. This ARM technique is used to determine the conclusions of the decision-making process. Valid data is obtained in the structure of the IoT with proper and consistent and useful information. The network address utility allows efficient sensor data. The necessary configuration procedure effectively monitors relevant sensor boundary values. Finally, we have ensured that the system will be able to provide dynamic performance in an IoT-based use of low-cost estimates and lower execution time.

Keywords: IoT, Safety System, Attributes Sensor, Industry, Mean, Standard Deviation.




Priyadarshani Shivkumar Mali, Assistant Professor, Department of Electronics and Telecommunications Engineering, Bharati Vidyapeeth's College of Engineering, Kolhapur, Maharashtra, India; Email: priyadarshaniomali@gmail.com

Dankan Gowda V, Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, Karnataka, India; Email: dankan.v@bmsit.in

Hemant. A. Tirmare, Assistant Professor, Computer Science and Technology, Department of Technology, Shivaji University, Kolhapur, Maharashtra, India; Email: hat_tech@unishivaji.ac.in

Varsha Amol Suryawanshi, Assistant Professor, Department of Electronics and Tele communication, KIT's college of Engineering (Autonomous) Kolhapur, Maharashtra, India; Email: suryavanshi.varsha@kitcoek.in

Abhay Chaturvedi*, Associate Professor, Department of Electronics and Communication Engineering, GLA University, Mathura, Uttar Pradesh, India; Email: abhaychat@gmail.com

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Priyadarshani Shivkumar Mali, Dankan Gowda V, Hemant. A. Tirmare, Varsha Amol Suryawanshi and Abhay Chaturvedi (2022), Novel Predictive Control and Monitoring System based on IoT for Evaluating Industrial Safety Measures. IJEER 10(4), 1050-1057. DOI: 10.37391/IJEER.100448.