MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641069380 A) filed by J. S. Krithika; V. Saranya; P. Asha; E. K. Kugapriya; S. Nithila; Dr. R. Dharmaprakash; Mr. Nagaraj J; and E Venitha on June 03, 2026, for Adaptive Drainage Optimization System.
Inventors include J. S. Krithika; V. Saranya; P. Asha; E. K. Kugapriya; S. Nithila; Dr. R. Dharmaprakash; Mr. Nagaraj J; and E Venitha.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT The present invention discloses the Adaptive Drainage Optimization System, designed as an Intelligent Predictive Drainage Hazard Safety and Municipal Alerting System. The system focuses on ensuring continuous toxic gas monitoring, predictive hazard escalation, automated safety response, and municipal coordination within urban drainage and sewer infrastructure before human exposure or public harm occurs. Unlike conventional drainage safety approaches that primarily depend on manual inspection and fixed threshold alarms, the proposed framework integrates continuous embedded gas monitoring, structured multi-level hazard classification, automated ventilation control, graduated municipal alerting, Al-based escalation prediction, four-tier zone-based safety mapping, drone-assisted pre-entry inspection, fail-safe local beacon communication, and hybrid power continuity within a unified closed-loop intelligent platform. The system continuously monitors H2S, CO, and CH4 concentrations through MQ-series sensors housed within .a gas-permeable membrane and stainless-steel mesh protective assembly mounted on the drainage cap. A three-level hazard classification engine operating on OSHA and NlOSH occupational safety standards classifies detected concentrations into Level I affecting human health, Level 2 high risk, and Level 3 life-threatening. At Level I, a ventilation fan activates automatically and a caution alert is transmitted to municipal authorities. At Level 2, the fan deactivates as a protective measure and a high alert is transmitted. At Level 3, a danger alert is issued and public notification is activated. An AI predictive escalation engine forecasts hazard level transitions before physical thresholds are breached. A four-tier zone classification module assigns each monitored municipal drainage zone a real-time safety status of Green, Yellow, Orange, or Red. A fail-safe local beacon ensures continuous alerting on network failure. A hybrid solar, battery, and grid power architecture guarantees uninterrupted operation. Before any worker confined-space entry, a drone equipped with multiple gas sensors and a water level sensor conducts pre-entry inspection and transmits verified real-time data to the supervisor device. By combining continuous gas sensing, predictive AI intelligence, automated ventilation response, graduated municipal alerting, and drone-assisted pre-entry verification, the invention functions as a structured predictive drainage hazard management framework aimed at eliminating confined-space worker casualties, preventing public safety incidents, and enhancing municipal emergency preparedness across urban drainage networks
Disclaimer: Curated by HT Syndication.
