Drip IV rate Monitor
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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
Intravenous (IV) therapy is a cornerstone of modern medical treatments, providing a direct route for administering fluids, medications, and nutrients to patients. This method ensures rapid and efficient delivery, bypassing the digestive system to achieve immediate therapeutic effects. Despite its critical importance, the traditional manual monitoring of IV fluid levels is prone to human error, leading to potential risks such as air embolism, dehydration, and treatment delays. Additionally, manual monitoring demands significant time and attention from healthcare providers, diverting resources from other essential tasks. Addressing these challenges, this project presents the design and implementation of an intelligent IV monitoring system aimed at automating the process, enhancing accuracy, and ensuring timely alerts when IV fluid levels are low. The core of the intelligent IV monitoring system is an ESP32 microcontroller unit (MCU), a versatile and powerful component known for its high performance and low power consumption. The ESP32 MCU integrates various input and output components, forming a comprehensive system capable of monitoring and managing IV fluid levels autonomously. At the heart of the monitoring mechanism is a 3KG load cell, which accurately measures the weight of the IV bottle. The load cell's output is a low-voltage analog signal, requiring amplification to ensure precise data capture. To achieve this, the signal is amplified by an HX711 amplifier, a specialized component designed for load cell applications. The amplified data is then transmitted to the ESP32 MCU via a uni-directional SPI (Serial Peripheral Interface) protocol, ensuring seamless and efficient communication between the hardware components.
To accommodate different IV therapy requirements, the system incorporates three control buttons, allowing users to select from three standard IV bottle sizes: 250ml, 500ml, and 1 liter. This functionality is crucial for calibrating the system according to the specific IV bottle in use, ensuring accurate monitoring regardless of the bottle size. Once the appropriate bottle size is selected, the ESP32 processes the incoming data, calculating the remaining IV fluid volume based on the weight measurements.