International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 11 | Nov 2024
p-ISSN: 2395-0072
www.irjet.net
“AEROPATH” Made by – Abhishek Singh, Kshitij Kr. Singh, Suchita Debnath. Student, Sunbeam Group of educational institutions, Varuna, Sikraul, Varanasi, Uttar Pradesh, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract- Natural disasters are sure to leave
that manages all aspects of mission planning, from the processing of SOS signals to route optimization of delivery. Operating on real-time mapping and central coordination, it reduces human interference to a minimum; hence, the promptness of response in case of emergencies and supplies are given to the precise locations they are most wanted in. Aeropath is a revolutionary disaster response through its integrated frameworks, affording scalability and efficiency in surmounting the logistical hurdles conventionally faced by traditional emergency response methods. The following proposed project aims at redefining emergency logistics, setting new marks of speed, precision, and reliability in disaster preparedness The system mainly consists of following frameworks:
communities in dire need of medical assistance, and many disasters render these efforts impossible due to destroyed infrastructure, hazardous conditions, and other logistical delays. This may be disastrous because any delay in offering lifesaving or life-sustaining care multiplies the effect on livelihood and health. The Aeropath is an unmanned, drone-based system meant to bridge this very important supply gap by ensuring timely and reliable delivery of lifesaving medical supplies in emergencies. It deploys two types of drones: a Quadcopter for autonomous disaster zone surveying to make damage assessments and build 3D maps, and a VTOL aircraft to supply medical supplies to prioritized locations as quickly as possible. Central to the operation of Aeropath is a Base Station that coordinates all tasks-processing SOS signals, managing inventory, and planning optimized delivery routes based on live data from the mapping done by the Quadcopter. Then, this layout enables the use of Aeropath independently of human involvement and bypasses conventional infrastructure challenges. Automation and real-time decision-making as implemented by Aeropath would enable speed and accuracy in disaster response, ensuring that no stranded person has to wait for medical aid. This paper discusses the current design and operational frameworks of Aeropath and how it can improve disaster resilience by providing an autonomous, efficient solution whenever each second counts.
:1}Quadcopter and Lidar Farmwork 2}Vending Machine Framework Integrated with Base Base Station 3}VTOL Framework
1.1 Quadcopter and Lidar Farmwork – Q.L.F The Quadcopter autonomously surveys disaster zones, creating 3D maps using Lidar technology, assisting in route planning for efficient delivery by the VTOL 1.2 Vending Machine Framework Integrated with Base Station – V.M.I.B.S.
Key Words: Autonomous drones, disaster response, realtime mapping, robotic systems, medical supply, delivery, telemetry, Quadcopter, VTOL.
The Base Station coordinates inventory and drone dispatch. It uses a robotic arm to load supplies into the VTOL, ensuring climate-controlled storage for temperature-sensitive items
1. INTRODUCTION Various factors such as "damaged infrastructure, adverse weather conditions, and logistic barriers invariably come into play in the course of delivering emergency medical supplies during disasters." One can imagine how such delays often result in worse living conditions for the affected people-a fact that underlines that such urgent needs require quick and sure solutions. The Aeropath addresses this challenge through an autonomous, dronebased system designed to deliver lifesaving medical aid precisely and efficiently in the worst conditions. Aeropath integrates two different kinds of drones: a Quadcopter for autonomous surveying in disaster zones and assessment of damages; a VTOL aircraft for fast supply delivery. The drones are controlled through a centralized Base Station
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1.3 VTOL Framework – V.F. The VTOL delivers medical supplies based on optimal routes planned from Quadcopter data. Equipped with advanced navigation, it ensures accurate delivery to targeted locations quickly.
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