MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641086959 A) filed by Peri Institute Of Technology on July 16, 2026, for Iot Based Smart Drinking Water Quality Monitoring System.
Inventors include Mr. Harish Kumar P; Mr. Jeeva N; Mr. Sakthivel M; Mr. Yuvan Sankar S; Mr. Kesavan P; and Mr. Akash D.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: TITLE: IoT Based Smart Drinking Water Quality Monitoring System ABSTRACT The present invention concerns an intelligent system for monitoring the quality of drinking water with the help of an ESP32 controller equipped with an artificial intelligence, multiple-parameter sensor, predictive contamination analysis, and adaptive purification control. The proposed invention, in contrast to conventional systems which simply monitor water quality data, where the water quality is unsafe such that the user is warned, the proposed invention provides a self-learning edge intelligence module that can detect trends in water quality before it becomes unsafe. The information from pH senSor, turbidity sensor, Total Dissolved Solids (TDS) sensor, temperature sensor, Oxidation Reduction Potential (ORP) sensor, conductivity sensor, dissolved oxygen sensor and residual chlorine sensor sensors is collected in real time. The algorithms used for sensor fusion within the ESP32 eliminate unusual sensor readings, which are generated due to sensor drift or environmental noise, leading to more reliable measurements. A novelty of the invention is the use of a Water Quality Index (WQI) prediction engine that takes into account several sensor readings and the historical use of the water to predict the level of water contamination. The auto-control system can start and stop purification equipment, like UV sterilizers, RO valves, booster pumps or storage diversion valves, according to the deterioration prediction. In addition, the invention provides an adaptive sensor self-calibration mechanism, which periodically validates the performance of the sensor by comparing reference parameters and corrects measurement errors by applying machine-learning-based correction models. Cloud connectivity allows for secure remote monitoring, historical analytics, predictive maintenance and emergency notifications via mobile application. The system also includes GPS tagging, blockchain water quality log integrity and sleep scheduling for low power operation. The proposed invention is an intelligent, low-cost, scalable and highly reliable drinking water monitoring platform for home buildings, schools, hospitals and industries, villages, smart cities and public drinking water distribution networks.
Disclaimer: Curated by HT Syndication.
