An Accurate-Rapid Infusion System Based on a Distributed Network

Many medical scenarios require the accurate and rapid infusion of medical liquids, such as blood, saline, and medications. However, the centralized platforms used in existing infusion systems struggle to balance performance and cost, making it difficult to achieve accurate control of liquid flow in these situations. To address this challenge, this paper proposes an accurate-rapid infusion system based on a distributed network. Taking performance, safety, and cost into account, the system utilizes a pressure bag as the main actuator, and a corresponding mathematical model is developed. A distributed measurement & control network is then constructed to execute complex control algorithms. Unlike centralized platforms, the distributed network can be constructed quickly and flexibly, enabling computility sharing for edge computing. Experimental results demonstrate that the system controls liquid flow accurately and stably in the steady state, with the error mean of all algorithms being less than 9.7 \(mL/min\) and the standard deviation (STD) less than 7.9 \(mL/min\). This paper introduces a novel method for future research on rapid infusion systems.