← Back to VOLUME 15, ISSUE 8, AUGUST 2026
This work is licensed under a Creative Commons Attribution 4.0 International License.
A COMPREHENSIVE SURVEY OF AN AQUA CYCLE INTELLIGENCE: AI BASED SYSTEM FOR RO REJECT WATER OPTIMIZATION AND SUSTAINABILITY
Ankit, Ayush Gupta, Darshan K S, Dharmaraj, Mrs.Supriya
đ 11 viewsđĨ 10 downloads
Abstract: Reverse Osmosis (RO) water purifiers are widely used in households, industries, educational institutions, and commercial buildings for obtaining clean drinking water. However, one of the major disadvantages of RO purification systems is the excessive generation of reject water. Approximately 50â75% of the input water is discharged as reject water during the purification process, leading to significant water wastage and environmental concerns. In most cases, reject water is directly discarded without analyzing its quality or exploring its potential for secondary usage. Existing systems mainly focus on water purification and fail to provide intelligent monitoring, optimization, and sustainability- driven reuse mechanisms. This paper proposes AQUA CYCLE INTELLIGENCE, an Artificial Intelligence-based system designed to optimize the utilization of RO reject water through smart monitoring, analysis, and recommendation techniques. The proposed system integrates IoT sensors, Artificial Intelligence algorithms, cloud computing, and real- time dashboards to monitor parameters such as Total Dissolved Solids (TDS), pH level, temperature, turbidity, and water flow rate. Using AI and Machine Learning techniques, the system predicts the quality and usability of reject water and recommends suitable secondary applications such as floor cleaning, gardening, flushing, cooling systems, and washing purposes. The proposed framework also enables real-time monitoring through web and mobile dashboards, tracks water savings and environmental impact, and generates analytical reports for users and authorities. By intelligently managing RO reject water, the system promotes water conservation, reduces unnecessary wastage, supports sustainable development goals, and encourages efficient resource utilization. The integration of AI, IoT, and cloud technologies transforms RO reject water from a discarded byproduct into a valuable reusable resource.
How to Cite:
[1] Ankit, Ayush Gupta, Darshan K S, Dharmaraj, Mrs.Supriya, âA COMPREHENSIVE SURVEY OF AN AQUA CYCLE INTELLIGENCE: AI BASED SYSTEM FOR RO REJECT WATER OPTIMIZATION AND SUSTAINABILITY,â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15832
