MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202621076472 A) filed by Dr. Amrita Baid More; Dr. K. Renganathan; Enoch Arulprakash; Dayananda Sagar Academy Of Technology And Management; Dr. Kalpana. D; Snehal Mayur Banarase; Dr. B. Amutha; S Priya; Mukul Sharma; Rukmini Kumari V; Dr Sumanta Bhattacharya; and Dr. S. Sakthivel Padaiyatchi on June 20, 2026, for Machine Learning-Based Intelligent Water Pollution Prediction And Monitoring System For Smart City Water Management.
Inventors include Dr. Amrita Baid More; Dr. K. Renganathan; Enoch Arulprakash; Dr. Kalpana. D; Snehal Mayur Banarase; Dr. B. Amutha; S Priya; Mukul Sharma; Rukmini Kumari V; Dr Sumanta Bhattacharya; and Dr. S. Sakthivel Padaiyatchi.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention relates to the development of a machine learning enabled smart city water quality pollution monitoring and control system, which is intended to provide a reliable solution in terms of real-time monitoring, forecasting and control of water pollution at smart cities' water sources. The innovation involves IoT water quality pollution sensors that will automatically gather data on water parameters, such as the pH level, turbidity, dissolved oxygen, temperature, and the presence of pollutants at water sources such as lakes, rivers, reservoirs, and distribution systems. Afterward, all gathered information will be analyzed by a machine learning algorithm running on a cloud computing platform that will recognize contamination patterns and forecast any water pollution incidents. The proposed invention will provide smart city water managers with recommendations on what actions need to be taken to ensure water quality maintenance. FIG.1
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