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DISASTER RESCUE WINGS ANALYSIS

Author: Mrs. A. Vidhumitha and Solomon Joyce Gnanaraj C

Published On: 2026-03-07

Abstract

Disaster events such as floods, earthquakes, cyclones, fires, landslides, and industrial accidents create chaotic environments where rapid communication and structured coordination are essential for minimizing casualties and ensuring effective response. Traditional emergency management systems rely heavily on telephonic communication, manual documentation, and decentralized coordination, which often result in delayed response, duplication of rescue efforts, and inefficient resource allocation.

This paper presents Disaster Rescue Wings, a scalable web-based emergency coordination and rescue management framework designed to centralize disaster response workflows. The proposed system enables affected individuals to submit structured emergency requests, including geolocation data and assistance requirements, through a digital interface. Administrative authorities can verify, prioritize, and assign rescue teams using a centralized dashboard with real-time monitoring capabilities. The system follows a modular three-tier architecture consisting of a responsive frontend layer, a secure backend processing layer, and a structured database layer. The architecture ensures scalability, transparency, and reliability in handling high volumes of emergency requests. Experimental evaluation under simulated disaster scenarios demonstrates improved response time, enhanced coordination efficiency, and reduced information ambiguity compared to traditional manual systems.

Keywords— Disaster Management System, Emergency Response Coordination, Rescue Operations, Web-Based Emergency Platform, Real-Time Monitoring, Centralized Dashboard, Crisis Communication, Resource Allocation, Incident Management, Disaster Analytics

 

Keywords
— Disaster Management System Emergency Response Coordination Rescue Operations Web-Based Emergency Platform Real-Time Monitoring Centralized Dashboard Crisis Communication Resource Allocation Incident Management Disaster Analytics  
Article Information
Volume

9

Year

2026

Review Rounds

1

Article Type

Research Article

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