Design and Implementation of Intelligent Infusion Monitoring System Based on Internet of Things

Abstract

To address the limitations of traditional infusion management models, such as reliance on manual monitoring, low efficiency, high safety risks, and poor patient comfort, this paper designs and implements an intelligent infusion monitoring system based on the Internet of Things (IoT). The system uses an STC89C52 microcontroller as the core controller, integrates dual U-shaped photoelectric sensors for drip rate detection and infusion status recognition, and employs a DS18B20 temperature sensor with a graphene heating pad to establish a closed-loop temperature control system for the medication solution. An open push-type gear-rack mechanism driven by a stepper motor is used to achieve automatic cutoff of the infusion tube. The system uploads real-time monitoring data to the OneNet cloud platform via an ESP8266 Wi-Fi module, enabling visual remote monitoring from the nurse station. Experimental results demonstrate that the system has a drip rate detection error ≤±1 drop/min, temperature control error ≤±0.8°C, and no-liquid response time ≤3 seconds. This system integrates monitoring, control, communication, and temperature regulation, effectively enhancing infusion safety and nursing efficiency, and holds significant clinical application value.