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An AED-UAV Healthcare Information Robot Integration System Based on Edge Computing Airport Station

Weibin Su, Allemar Jhone P. Delima, Ivy Kim D. Machica, Jan Carlo T. Arroyo, Xiangbin Pan

Year
2022
Citations
3

Abstract

The Unmanned Aerial Vehicle (UAV) has gradually become a type of tool in people's lives, especially with the development of 5G and edge computing, more medical facilities can be leveraged via UAV delivery. Rapid delivery of Automated External Defibrillator (AED) is very important for the rescue of heart attack patients, but this field faces some drawbacks from reliability and information management. In this paper, we discuss making AED into UAV to reduce weight, and designing some edge computing stations to realize remote distributed control. The first design process is by estimating take-off weight and flight time. The electrical capacity is then estimated to treat the patient through electrical therapy that multiple charge power is required. The second design is an information system which is used to Message Queuing Telemetry Transport (MQTT) with Modbus protocol to control the flight path and attitude of UAV. Lastly, we discuss the feasibility of the integration of these information electromechanical systems, and plan to implement it in the future work.

Keywords

Computer scienceMessage queueEnhanced Data Rates for GSM EvolutionReliability (semiconductor)Edge computingProcess (computing)Real-time computingComputer networkPower (physics)Telecommunications

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