MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085330 A) filed by Pruthvi Ms; Klef Deemed To Be A University; and Yasaswini Peddi on July 12, 2026, for An Integrated Geospatial System For Composite Multi-Indicator Assessment Of Household Disaster Resilience And Resilience-Prioritised Early-Warning Routing.
Inventors include Yasaswini Peddi; Dr. D. Prasanna Kumar; and Pruthvi M. S.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT An Integrated Geospatial System for Composite Multi-Indicator Assessment of Household Disaster Resilience and Resilience-Prioritised Early-Warning Routing The present invention provides an integrated, hardware-anchored geospatial system and method that captures a plurality of socio-economic indicators of a household together with a geolocation of the household, computes a composite disaster-resilience score and resilience tier through a normalisation, weighting, aggregation and thresholding pipeline, overlays the resilience tier upon a hazard-exposure surface to render a household-level spatial vulnerability map, and routes early- warning messages to notification devices in a manner prioritised by the computed resilience, localised for India's coastal regions. To overcome the technical difficulty of processing heterogeneous socio-economic indicators together with geospatial and hazard- exposure data within a single pipeline, the system integrates a multi-indicator data-capture unit having a geolocation sensor, a preprocessing and normalisation engine, a composite resilience-index computation engine, a geospatial risk-mapping engine, a resilience-aware early-warning routing module, an intervention and prioritisation engine, and a region-localised cloud and mobile deployment layer. A composite resilience-index engine normalises, weights, and aggregates the indicators into a composite score, then assigns a resilience tier by thresholding. A geospatial risk-mapping engine georeferenced the household and overlays its tier upon a hazard-exposure surface to render a household-level spatial vulnerability map. A resilience-aware routing module automatically triggers and routes alerts to notification devices, prioritising households in lower resilience tiers and with lower communication access so that the least-resilient households are reached first. A localisation layer provides multilingual, accessible, multi-device, and low- bandwidth delivery suited to India's coastal districts, along with connector interfaces for hazard-exposure data, and scalable cloud deployment that supports continuous updates and wide reach. The result is an integrated technical solution that renders a spatial risk surface and controls resilience-prioritised routing of warnings to devices. The novelty and inventive step reside in the technical implementation and not in any mathematical method or empirical finding.
Disclaimer: Curated by HT Syndication.
