Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Kanade Dnyaneshwar Gajanan, Aagam Kothari, Anubrat Chatterjee, Anurag Chatterjee, Swaroop Atreya
DOI Link: https://doi.org/10.22214/ijraset.2024.61335
Certificate: View Certificate
Drones and UAVs have gained a lot of attention in the recent years. Being fast and efficient, they have the capability to carry out a multitude of tasks efficiently and quickly. One of the critical applications of drones is in the field of healthcare is the delivery of medical supplies. In case of severe natural calamities, only a drone is suitable for providing the basic essential supplies that can save the lives of constrained survivors. In rural and underdeveloped areas, a drone is ideal for delivery. The usage of a medical drone is not restricted as it can easily be used in day-to-day urban and sub-urban areas. It is an efficient method to deliver medicines and aid to patients and those in need. However, the security and authenticity of the medical supplies must also be preserved. This helps in maintaining the integrity of the healthcare system. The drone is equipped with an RFID Interrogator (Reader). The use of radio waves in Radio Frequency Identification (RFID), allows for the automatic detection and monitoring of tags. These tags act as ‘keys’ while the reader acts as a ‘lock’. The keys are made available to the customers, who are using this service. Integrating RFID into drone delivery systems enables authentication of medical supplies throughout the delivery process, minimizing the risk of theft, tampering and counterfeiting. A range of components have been used for this project as it combines the concepts from mechanical, electronics and computer engineering fields. Some key components are Arduino UNO, RFID, brushless DC motors, etc.
I. INTRODUCTION
In an era where rapid and reliable access to medical supplies can be a matter of life and death, our innovative project harnesses the potential of automated drone technology to overcome the persistent challenges faced by conventional methods of transportation. Traditional medical supply delivery systems often grapple with traffic congestion, geographical barriers, and unforeseen delays, hindering the timely delivery of critical medications and supplies to those in need. Our project envisions a paradigm shift in the landscape of medicinal deliveries, striving to eliminate these obstacles through the deployment of cutting-edge automated drone technology. By doing so, we aim to revolutionize the efficiency and effectiveness of medical supply chains. Drones, equipped with state-of-the-art navigation systems, can navigate through complex terrains and congested urban areas, ensuring swift and reliable deliveries even in the face of logistical challenges. The primary objectives of our project are to significantly minimize delivery timeframes, thereby ensuring that medical supplies reach their destination in the shortest possible time. This reduction in delivery time not only addresses the urgency associated with medical needs but also plays a crucial role in mitigating the risk of stockouts, ensuring a consistent and reliable supply of essential medications. Through these advancements, our project aspires to make a tangible impact on healthcare outcomes, contributing to the enhancement of patient care and, ultimately, saving lives. By leveraging automated drone technology, we are not just revolutionizing the way medicinal deliveries are conducted; we are pioneering a new era of efficiency, accessibility, and reliability in the realm of healthcare logistics.
Mission Planner is a comprehensive open-source ground control station software primarily designed for unmanned aerial vehicles (UAVs) powered by the ArduPilot autopilot system. It allows users to plan, execute, and monitor autonomous missions for drones, offering a user-friendly interface for mission setup, waypoint navigation, and real-time telemetry. Mission Planner supports various flight modes, parameters adjustment, and data logging. Its advanced features include geofencing, camera control, and 3D flight visualization. Compatible with Windows, Linux, and Mac, Mission Planner is a vital tool for drone enthusiasts, researchers, and professionals, providing a robust platform for efficient and customizable UAV mission planning and management.
B. Working
In a hypothetical urban setting, the deployment of automated drones for urgent medical deliveries presents a transformative solution to logistical challenges faced by individuals living in densely populated areas. Consider a scenario where a patient, residing three kilometers away from the nearest healthcare facility, urgently requires medication but finds it difficult to obtain due to the congested nature of their surroundings. This situation epitomizes the growing demand for efficient and timely delivery services, especially in urban environments where traditional modes of transportation are hindered by traffic congestion and accessibility issues.
Enter the automated medical delivery drone – a cutting-edge solution designed to navigate urban landscapes swiftly and seamlessly, circumventing the limitations of ground transportation. Equipped with state-of-the-art BLDC (Brushless DC) motors meticulously engineered to generate sufficient lift, these drones effortlessly ascend into the sky, unimpeded by terrestrial obstacles. The aerodynamic design and precise motor control enable the drone to achieve stable flight and maneuverability, essential for navigating complex urban environments.
At the heart of the drone's operation lies a sophisticated control system, comprising Electronic Speed Controllers (ESCs) that regulate the power supplied to each motor. Through precise adjustments in motor speed, the drone can execute intricate movements such as forward/backward translation and right/left turns. This dynamic control mechanism allows the drone to navigate through narrow alleyways and congested streets with unparalleled agility, bypassing the gridlock that often plagues ground-based transportation.
Furthermore, the integration of advanced sensor technology enhances the drone's navigational capabilities, ensuring safe and reliable operation in diverse environmental conditions. The inclusion of an MPU 6050 gyroscope enables the drone to maintain stable flight and hover accurately, even in the presence of external disturbances. This level of autonomy and stability is crucial for executing precise delivery maneuvers and ensuring the safety of both the drone and its payload.
In the context of medical deliveries, the automated drone serves as a lifeline for individuals in need of urgent medication or supplies. Once a delivery request is received from a healthcare facility, the drone is dispatched with the necessary items securely stored in its cargo bay. The payload is sealed using an RFID (Radio Frequency Identification) mechanism, ensuring tamper-proof security during transit. This seamless integration of technology streamlines the delivery process, minimizing the risk of errors or delays associated with traditional delivery methods.
Upon reaching the designated drop location, the drone engages a 'position hold' command, leveraging its GPS (Global Positioning System) module to hover precisely above the target area. This precise control mechanism facilitates the safe and accurate delivery of the payload, ensuring that the recipient receives their medication without delay. Access to the delivered supplies is granted via an authorized RFID key, which activates a servo motor to unlock the cargo bay upon authentication.
Once the delivery is complete, the drone autonomously navigates back to its point of origin, retracing its flight path with precision and efficiency. The entire delivery process is seamlessly monitored and controlled through an intuitive Mission Planner Interface, which provides real-time telemetry data and tracking information. This comprehensive oversight ensures the safety and reliability of the delivery operation, empowering healthcare providers to meet the needs of their patients effectively.
III. TESTS AND RESULTS
A test run was conducted to test the drone in a real-life application. The aim was to calculate experimentally the altitude of flight and distance of flight. The payload capacity was calculated in the following manner:
Drone Weight: 1.5 kg
Battery Weight: 150 g
Equipment Weight: 70 g
Total weight: 1.72 kg
RPM = Motor Constant x Volts Provided x Motor quantity
RPM = 920 kV x 11.1 V x 4
RPM = 10212 x 4
RPM = 40848 rpm
Thrust = ~6.66 kg
Power to Weight ratio: 3:1 (standard)
Number of motors: 4
Total thrust produced: 6.66 kg
Thrust per motor: 1.665 kg
Payload = Total thrust – Total weight
Payload = 6.66 –
Payload= 4.92 kg
According to our calculations, it is evident that the drone can carry at least 4.44 kg. In a real-life application, the limit will be lower considering motor efficiency, temperature, altitude and wind conditions. Medicines are small items and thus has very less weight. A standard medicine delivery does not weigh more than half a kilogram. The drone can carry payload worth eight times a standard delivery. By keeping these factors in mind, a container box was made using a 3D printer. Using a 3D printer allows us to give the container a shape and size which helps us reduce the drag that the drone will face while mid-air.
For the test flight, a random prescription of a cough-cold patient was acquired and the medicines of that prescription was considered for the testing payload. The payload was the following:
Tablets Pan 40 (3) – 45 grams
Tablets Meftal Forte (6) – 70 grams
Tablets montekLC (5) – 65 grams
Bottle of Honitus Cough Syrup – 100 grams
Total weight – 280 grams = 0.28 kg
The college campus was chosen as the launch point. The drop point was also within the college campus. The FS-CT6B receiver was connected to the flight controller (MPU 6050) which was present on the drone. The transmitter remained at the ground control station. The drone was able to take-off successfully and hover in the air without any visible difficulties. The altitude was kept low initially, around 9 feet from ground level and the height was slowly increased. As the altitude was increased, the pitching movement of the drone allowed it to move forward. These controls were all facilitated through the Pixhawk Flight controller. The flight distance was 236 metres (lengthwise measurement of the college grounds). Halfway during its journey, the drone was able to reach a maximum height of 34.7 feet. It could safely manoeuvre its way to the destination. One of the members was present at the drop location with the RFID key. The drone was set into ‘positional hold’ state which allowed it to hover at the given position without landing. To test the authenticity of the security system, the member was provided with two identical RFID keys. Only one of them was authorised to open the RFID locking system. The wrong key was used several times but did not work while the correct key opened it easily. The door locking system was secured and protected thus it was not possible to break or tamper. There was a one-minute timer delay after which the door would lock itself after unlocking. When the simulated delivery process was complete, the drone returned to the ground control station using the same route. The total distance of flight was approximately 490 metres and time of flight was exactly two minutes and seven seconds. If the drone travelled only from one point to other and back, without stopping, the speed would be approximately 7.2 m/s.
IV. INFERENCES
The following inferences were drawn from the test flight: -
V. DEVELOPMENT
UAV delivery services exist on a very small scale all around the world. Most of the times, the delivery processes that these UAVs adopt is simply dangerous and still does not solve the major issue of security.
A renowned facility in Rwanda has taken a similar approach to medical supplies and vaccine delivery in rural areas. The UAV designed by them is launched into the air by a launching mechanism which gives it a very high launch speed. It can then be controlled like an RC plane to navigate and deliver the medical package. However, the delivery approach they have taken is completely different. When the drone is flying above the delivery location, the medical package is dropped to the ground by the means of a parachute. This method can not only damage the contents of the package but also injure someone passing by. Also, if the drop is not accurate, the dropped package might get stolen or lost before the patient can recover it. The launching facility itself needs a lot of capital and investment for initial setup. This kind of a service can be provided only to big hospitals and healthcare facilities but it becomes a problem for doorstep delivery. A similar approach was taken by the Indian Government in Arunachal Pradesh but it faces the same drawbacks as it did in Rwanda. The drone designed by us attempts to solve some of these issues. Instead of air-dropping the medical items, the drone lowers itself to the patient’s location. The security is also rigid which ensures that theft is kept to a minimum. The RFID based security system is the best way to ensure safe doorstep delivery of essential supplies. The designed drone is an example of VTOL (Vertical Take-off and Landing). It means that it requires no launch facility and is able to take-off and land without a runway. Although it sacrifices delivery speed, it considerably reduces installation costs while still being much more economically feasible and efficient as compared to a land vehicle.
VI. FUTURE SCOPE
A medical delivery drone can bring about major changes in the medical field. The designed drone was a prototype that can be greatly enhanced in the future.
VII. ACKNOWLEDGEMENT
We would like to thank our college, Vishwakarma Institute of Technology, Pune for giving us the opportunity to study and build a drone. We would also thank the professors of Electronics department for helping us understand each component and helping us integrate them into our project.
In conclusion, the integration of RFID technology into medical supplies delivery drones brings significant benefits to the healthcare sector. By combining the capabilities of drones with RFID security features, healthcare providers can ensure the safe and efficient delivery of essential medical supplies to remote or inaccessible areas. RFID technology enables authentication, verification, and traceability of medical supplies, reducing the risk of tampering or unauthorized access. RFID allows real-time tracking and traceability of medical supplies. It can overcome geographical barriers and traffic congestion, enabling faster and more efficient delivery. This is particularly valuable in emergency situations or when reaching remote areas with limited infrastructure. Overall, the integration of RFID technology enhances the security, traceability, and efficiency of medical supplies delivery drones.
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Copyright © 2024 Kanade Dnyaneshwar Gajanan, Aagam Kothari, Anubrat Chatterjee, Anurag Chatterjee, Swaroop Atreya. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET61335
Publish Date : 2024-04-30
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here