ALIVE: A Low-Cost Interactive Vaccine Storage Environment Module ensuring easy portability and remote tracking of operational logistics to the last mile

Autor: Datta, Arkadeep, Mukhopadhyay, Arani, Datta, Amitava, Ganguly, Ranjan
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1007/978-981-97-4650-7_24
Popis: The COVID-19 pandemic has profoundly reshaped our lives, prompting a search for solutions to its far-reaching effects. Vaccines emerged as a beacon of hope, yet reaching remote areas faces last-mile hurdles and cost issues due to loss of vaccine potency due to poor temperature regulation of the storage units and unanticipated vaccine wastage en route, a common occurrence in conventional vaccine transportation methods. We introduce ALIVE, a low-cost Interactive Vaccine Storage Environment module. ALIVE provides an off-grid, self-sufficient solution for vaccine storage and transport, enabled by active cooling technology. ALIVE's innovation lies in its integration with the Internet of Things (IoT), allowing real-time monitoring and control. This IoT-enabled Application Programming Interface (API) features a data acquisition and environment parameter control system, managing oversight and decision-making. ALIVE's compact, lightweight design makes it adaptable to various logistical scenarios, while its versatility enables it to maintain both time-invariant and time-dependent thermophysical and spatial parameters. Operationalized through a PID algorithm, ALIVE ensures precise temperature control within the vaccine chamber. Its dynamic features, such as remote actuation and data sharing, demonstrate its adaptability and potential applications. Despite the frugal nature of development, the system promises significant benefits, including reduced vaccine loss and remote monitoring advantages. Collaborations with healthcare partners seek to further enhance ALIVE's readiness and expand its impact. ALIVE revolutionizes vaccine logistics, offering scalable, cost-effective solutions for bridging accessibility gaps in challenging distribution scenarios. Its adaptability positions it for widespread application, from last-mile vaccine delivery to environment-controlled supply chains and beyond.
Comment: Presented at the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2023). Corresponding: arkadeepdatta@gmail.com
Databáze: arXiv