Issue |
E3S Web of Conf.
Volume 507, 2024
International Conference on Futuristic Trends in Engineering, Science & Technology (ICFTEST-2024)
|
|
---|---|---|
Article Number | 01051 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/202450701051 | |
Published online | 29 March 2024 |
Industry Monitoring System Using IoT through Interdisciplinary Approaches
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India.
2 The Islamic university, Najaf, Iraq.
3 Department of Mechanical Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India.
4 Lovely Professional University, Phagwara, Punjab, India
5 Lloyd Institute of Engineering & Technology, Knowledge Park II, Greater Noida, Uttar Pradesh, India.
* Corresponding author: sruthi1717@grietcollege.com
Now-a-days in dynamic industrial landscape, the need for real-time monitoring, data-driven decision making, and operational optimization has become paramount. The Industry Monitoring System using IoT emerges as a transformative solution that leverages the capabilities of interconnected devices and sensors to provide comprehensive visibility into industrial processes and assets. This innovative system deploys a network of sensors and IoT devices strategically with in industrial facilities to capture critical data parameters, ranging from environmental conditions to equipment performance metrics. These sensors communicate seamlessly through wired or wireless connections, transmitting data to a centralized hub or cloud-based platform. This proactive approach not only enhances equipment reliability but also reduces downtime and maintenance costs. Furthermore, the integration of IoT in industry monitoring facilitates data-driven decision-making, fostering a more agile and responsive industrial ecosystem.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.