Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) Technologies for Enhanced Wastewater Treatment Systems

24 Pages Posted: 1 Dec 2023 Last revised: 11 Dec 2023

See all articles by Nitin Rane

Nitin Rane

University of Mumbai

Saurabh Choudhary

University of Mumbai

Jayesh Rane

University of Mumbai

Date Written: October 31, 2023

Abstract

The escalating global demand for clean water mandates the development of inventive approaches to wastewater treatment systems. This paper investigates the incorporation of cutting-edge technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and the Internet of Things (IoT), to revolutionize and elevate wastewater treatment procedures. The collaborative application of these technologies presents a promising avenue for optimizing efficiency, sustainability, and overall performance within water treatment infrastructure. Artificial Intelligence and Machine Learning play pivotal roles in the predictive modeling and decision-making processes within wastewater treatment plants. These technologies facilitate real-time monitoring of water quality parameters, enabling dynamic adjustments to treatment protocols based on data-driven insights. The adaptive nature of AI and ML algorithms enhances system resilience, diminishes operational costs, and ensures adherence to rigorous environmental standards. The integration of Blockchain technology introduces a decentralized and secure framework for managing data in wastewater treatment systems. By capitalizing on the inherent transparency and immutability of blockchain, stakeholders can trace the complete lifecycle of water treatment, from source to discharge. This not only promotes accountability but also nurtures trust among regulators, utilities, and the public, fostering a more transparent and sustainable water management ecosystem. Moreover, the Internet of Things contributes to the establishment of a connected and responsive wastewater treatment infrastructure. Sensor networks embedded throughout the treatment process enable real-time data collection, facilitating remote monitoring and control. The seamless communication between IoT devices ensures prompt identification of anomalies and potential system failures, allowing for timely intervention and averting environmental hazards. This research not only underscores the potential of these technologies but also emphasizes the significance of their integration to address the evolving challenges in water management and contribute to a more sustainable future.

Keywords: Wastewater treatment, Waste water management, Artificial Intelligence, Machine Learning, Blockchain, Internet of Things, Adsorption, Effluents

Suggested Citation

Rane, Nitin and Choudhary, Saurabh and Rane, Jayesh, Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) Technologies for Enhanced Wastewater Treatment Systems (October 31, 2023). Available at SSRN: https://ssrn.com/abstract=4641557 or http://dx.doi.org/10.2139/ssrn.4641557

Nitin Rane (Contact Author)

University of Mumbai ( email )

Mahatma Gandhi Road
Mumbai, 400032
India

Saurabh Choudhary

University of Mumbai ( email )

Maharashtra
India

Jayesh Rane

University of Mumbai ( email )

Mahatma Gandhi Road
Mumbai, 400032
India

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