MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202611087148 A) filed by Uttaranchal University on July 16, 2026, for An Ai-Enabled Multi-Sensor Iot System For Real-Time Water Quality Monitoring And Predictive Contamination Analysis.
Inventors include Subha Singh; Rahul Mahala; V. Bhuvneswari; Lakshmi Priya Vinjamuri; Rajesh Singh; and Anita Gehlot.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention provides an AI-enabled multi-sensor IoT system for real-time water quality monitoring and predictive contamination analysis, comprising an allocated network of smart sensory data collector devices (10) deployed up to an arbitrary integer number at distinct water source locations, a network gateway (30), a central cloud infrastructure server (40), and a machine learning intelligence engine (50) running a pre-trained machine learning model to continuously evaluate contamination risks and output automated warnings. Each smart sensory data collector device (10) includes a localized computing unit (11) operably coupled to a pH sensor (19), a temperature sensor (20), a TDS sensor (21), a GPS module (22), a fluoride ion sensor (23), an arsenic sensor (24), a nitrate sensor (35), and a particle sensor (34). The localized computing unit (11) establishes geographic and temporal correlation via a real-time clock (16) and the GPS module (22), buffers data locally on an SD card (14) to prevent data loss, and transmits structured data packets via a long-range wireless LoRa module (15) to the gateway (30), which forwards the data to the cloud server (40) via Wi-Fi. Grid-independent power is maintained at each node by a solar panel (17) and a rechargeable battery (18) controlled by a battery power management system. The machine learning engine (50) applies a data fusion algorithm on preprocessed data to calculate a Water Health Score, classifies the water condition into predefined risk levels, forecasts contamination probabilities, and automatically generates geo-tagged alerts for health departments and municipal bodies.
Disclaimer: Curated by HT Syndication.
