Industrial IoT Systems for Real-Time Environmental Monitoring

Innovative technology adoption is crucial for sustainable industrial practices in today's dynamic business climate. EcoSense360 is a revolutionary Industrial Internet of Things (IIoT) system for continuous environmental monitoring in manufacturing facilities, and it is presented in this article. Real-time anomaly detection, predictive maintenance, and energy optimization are the three cornerstone algorithms that make up EcoSense360. As the foundation of EcoSense360, the Real-Time Anomaly Detection Algorithm enables for instantaneous detection of environmental aberrations. The potential for environmental catastrophes is reduced, and crucial concerns may be addressed promptly, thanks to these real-time capabilities. Our testing shows that as compared to conventional approaches, EcoSense360 provides superior outcomes in terms of both data precision and real-time responsiveness, as well as regulatory compliance. EcoSense360 is a proactive and all-encompassing solution for environmental monitoring and management. Real-time environmental insights, predictive maintenance, and sustainable energy use are just a few of the ways in which its algorithms are changing the face of industry. Analysis shows EcoSense360 is superior to conventional approaches to environmental protection, resource conservation, and meeting sustainability targets. EcoSense360 is the best option for businesses that are serious about being environmentally responsible as they face increasing pressure to do so.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/acroset62108.2024.10743956
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.20
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article

Industrial IoT Systems for Real-Time Environmental Monitoring

Jyoti Seth, Karishma Desai, A. Dutta
1 citations
Water Quality Monitoring Technologies
0.20
article

Industrial IoT Systems for Real-Time Environmental Monitoring

Jyoti Seth, Karishma Desai, A. Dutta
article en
1 citations

Abstract

Innovative technology adoption is crucial for sustainable industrial practices in today's dynamic business climate. EcoSense360 is a revolutionary Industrial Internet of Things (IIoT) system for continuous environmental monitoring in manufacturing facilities, and it is presented in this article. Real-time anomaly detection, predictive maintenance, and energy optimization are the three cornerstone algorithms that make up EcoSense360. As the foundation of EcoSense360, the Real-Time Anomaly Detection Algorithm enables for instantaneous detection of environmental aberrations. The potential for environmental catastrophes is reduced, and crucial concerns may be addressed promptly, thanks to these real-time capabilities. Our testing shows that as compared to conventional approaches, EcoSense360 provides superior outcomes in terms of both data precision and real-time responsiveness, as well as regulatory compliance. EcoSense360 is a proactive and all-encompassing solution for environmental monitoring and management. Real-time environmental insights, predictive maintenance, and sustainable energy use are just a few of the ways in which its algorithms are changing the face of industry. Analysis shows EcoSense360 is superior to conventional approaches to environmental protection, resource conservation, and meeting sustainability targets. EcoSense360 is the best option for businesses that are serious about being environmentally responsible as they face increasing pressure to do so.

Jain University (IN), Bhartiya Skill Development University (IN), Vivekananda Global University (IN)
Openalex Percentile: Top 44%
Water Quality Monitoring Technologies
0.20
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