TY - GEN
T1 - Design of a Sustainable Rescue and First Aid Drone-Based System for Passenger Car Occupants
AU - Moyo, Marvellous
AU - Mushiri, Tawanda
AU - Noorbhai, Habib
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023
Y1 - 2023
N2 - Medical emergencies transpire in passenger cars where most victims fail to access immediate medical assistance bringing about worsening of their health or death. Incorporation of rescue and first aid drone-based systems in Emergency Medical Services has been proposed. The objectives being improving response time of Emergency Medical Services, assessing the victim’s health, assisting in administration of first aid, real time live feed of victim’s vitals to the responders and mainly to outline how sustainability in healthcare can be achieved through adaptation of the proposed system. The key features of the first aid drone-based system include: a compact, architecture, aerodynamically optimized architecture and high strength to weight ratio. Solid Works has been used for modelling and simulation of the proposed system. Results showed that the maximum stress (295MPa) experienced in the link is less than the yield strength of carbon fiber (1000MPa), therefore, the design is safe. Findings also showed that, the proposed system can help to further bridge the gap between technology and healthcare, hence making the current healthcare system more relevant in future. Recommendations have been made on improving the software design of the system. Further studies on the design of quadcopters with high range, payload, endurance and speed has been proposed. Overall, the research focused on how robotics, Artificial Intelligence, and Internet of Things (Industry 4.0) can been used to improve Emergency Medical Services response to health emergencies.
AB - Medical emergencies transpire in passenger cars where most victims fail to access immediate medical assistance bringing about worsening of their health or death. Incorporation of rescue and first aid drone-based systems in Emergency Medical Services has been proposed. The objectives being improving response time of Emergency Medical Services, assessing the victim’s health, assisting in administration of first aid, real time live feed of victim’s vitals to the responders and mainly to outline how sustainability in healthcare can be achieved through adaptation of the proposed system. The key features of the first aid drone-based system include: a compact, architecture, aerodynamically optimized architecture and high strength to weight ratio. Solid Works has been used for modelling and simulation of the proposed system. Results showed that the maximum stress (295MPa) experienced in the link is less than the yield strength of carbon fiber (1000MPa), therefore, the design is safe. Findings also showed that, the proposed system can help to further bridge the gap between technology and healthcare, hence making the current healthcare system more relevant in future. Recommendations have been made on improving the software design of the system. Further studies on the design of quadcopters with high range, payload, endurance and speed has been proposed. Overall, the research focused on how robotics, Artificial Intelligence, and Internet of Things (Industry 4.0) can been used to improve Emergency Medical Services response to health emergencies.
KW - Artificial Intelligence
KW - Emergency Medical Services
KW - First Aid
KW - Health Emergencies
KW - Industry4.0
KW - Internet of Things
KW - Passenger Car
KW - Robotics
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85161441353&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-28839-5_117
DO - 10.1007/978-3-031-28839-5_117
M3 - Conference contribution
AN - SCOPUS:85161441353
SN - 9783031288388
T3 - Lecture Notes in Mechanical Engineering
SP - 1053
EP - 1061
BT - Manufacturing Driving Circular Economy - Proceedings of the 18th Global Conference on Sustainable Manufacturing
A2 - Kohl, Holger
A2 - Seliger, Günther
A2 - Dietrich, Franz
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th Global Conference on Sustainable Manufacturing, GCSM 2022
Y2 - 5 October 2022 through 7 October 2022
ER -