MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202631003513 A) filed by Debasis Maji; Indranil Dey; Dilip Dey; Asit Kumar Mondal; Avijit Routh; Banshidhari Samanta; Alpana Barman; Piya Roy; Sankhadeep Ghosh; and Subhamoy Das, Purba Medinipur, West Bengal, on Jan. 13, for 'a method for predicting contamination events and equipment failures in wastewater treatment plants using deep learning.'
Inventor(s) include Indranil Dey; Debasis Maji; Dilip Dey; Asit Kumar Mondal; Avijit Routh; Banshidhari Samanta; Alpana Barman; Piya Roy; Sankhadeep Ghosh; and Subhamoy Das.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses an intelligent control system for wastewater treatment integrating an ammonia-based aeration control (ABAC) strategy (100) with a predictive monitoring and optimization framework (200). The ABAC system comprises sequential treatment zones including anaerobic (101), anoxic (102), and aerobic (103) tanks, with sensor feedback from nitrous oxide (104), dissolved oxygen (107), and ammonia (108). A higher-order controller (109) computes a variable oxygen set-point (110), and a lower-level controller (105) adjusts aeration intensity via KLa7 (106), recycling flows (114, 115) to regulate effluent (112) through the settler (111). The predictive system receives multi-parameter data via a sensor interface (201) from the treatment process (202), processes it using time-series prediction modules (203), and interprets it through a forecasting engine (204) to actuate control elements (205). This enables early detection of contamination and equipment failure, achieving energy-efficient and regulatory-compliant wastewater treatment."
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