Real-Time IOT-Based Saline Monitoring System for Healthcare Applications

Abstract

This project introduces an IoT-based saline level monitoring system aimed at enhancing patient safety and improving healthcare efficiency. Traditional saline administration relies on manual or semi-automated monitoring, which can lead to human errors, delays in intervention, and risks such as over-infusion, under-infusion, and blood backflow. To address these challenges, the proposed system utilizes a NodeMCU (ESP8266), a load cell, and the Blynk app for continuous real-time monitoring. When the saline level drops below a preset threshold, the system triggers a buzzer to alert caregivers and automatically activates a solenoid lock to cut off the saline flow, preventing complications like infections and ineffective treatment. This automated approach minimizes the need for manual supervision, reduces response times, and ensures timely intervention, making it a reliable solution for modern healthcare settings. The integration of IoT technology enhances remote monitoring capabilities, streamlines patient care, and improves overall medical efficiency.

Introduction

The traditional manual monitoring of intravenous (IV) saline administration is time-consuming and prone to human error, risking patient safety due to over-infusion, under-infusion, or blood backflow. Existing semi-automated systems offer only basic alerts and still require constant human supervision.

The proposed IoT-based saline monitoring system uses a NodeMCU (ESP8266), load cell, and Blynk mobile app to provide real-time tracking of saline levels. When the saline falls below a set threshold, the system sounds a buzzer to alert caregivers and automatically activates a solenoid valve to stop saline flow, preventing complications. This automation enables remote monitoring via the app, allowing healthcare staff to oversee multiple patients efficiently.

Key components include the ESP8266 microcontroller, load cell with HX711 amplifier, solenoid lock for automatic flow control, buzzer for alerts, and the Blynk app for remote access. The system continuously measures saline bottle weight, processes data to detect low levels, sends alerts, and controls saline flow without manual intervention.

Implementation results show improved patient safety, reduced workload on medical staff, and more efficient saline administration. The automated alerts and remote monitoring capabilities minimize human errors and enhance overall healthcare quality, making the system a valuable upgrade over traditional saline monitoring methods.

Conclusion

The IoT-based saline monitoring system provides an efficient, automated solution for ensuring safe and accurate saline administration in healthcare settings. By integrating NodeMCU, a load cell, the Blynk app, a buzzer, and a solenoid valve, the system effectively monitors saline levels, provides real-time alerts, and prevents risks like over-infusion and blood backflow. The remote monitoring capability reduces the need for manual checks, enhancing caregiver efficiency and patient safety. Overall, this system offers a cost-effective, reliable, and user-friendly approach to improving saline infusion management in hospitals and clinics.

References

[1] P PearlineSheeba, N Anushree, L Aishwarya. (2016). \"Saline Infusion Level Detection and Heart Rate Monitoring System.\" Journal for Research in Applied Science & Engineering Technology, 4(XI), 637–641. [2] ShyamaYadav, Preet Jain. (2016). \"Real-time cost-effective e-saline monitoring and control system.\" In Control, Computing, Communication and Materials (ICCCCM), Allahabad, India, 1-4.Y [3] Chanti, K SeenaNaik, D Kothandaraman, M Sheshikala, B Vijaykumar, Y Chanti. (2019). \"Design of an Optimised Multicast Routing Algorithm for Internet of Things.\" International Journal of Recent Technology and Engineering (IJRTE), 8(2), 4048–4053. [4] Manoj Kumar Swain, Santosh Kumar Mallick, RatiRanjanSabat. (2015). \"Smart Saline Level Indicator-cum-Controller.\" International Journal of Application or Innovation in Engineering & Management (IJAIEM), 4(3), 299–301. [5] C CGavimath, B E Ravishankera, R S Hooli, C L Chayalakshmi, Krishnamurthy Bhat. (2012). \"Design and Development of a Flexible Saline Flow Rate Measuring Device and a Remote Monitoring System Based on GSM.\" International Journal of Pharmaceutical Applications (IJPA), 3(1), 277–281. [6] S Srinivas, E Ramesh, P RamchandarRao. (2019). \"A Report on Wireless Sensor Network Design for Internet of Things Applications.\" International Journal of Engineering and Advanced Technology (IJEAT), 8(6S3), 2004-2009. [7] Mansi G. Chidgopkar, Aruna P. Phatale. (2015). \"Development of an Automatic and Inexpensive Saline-Level Monitoring System Using Bluetooth and CC2500 Transceiver.\" International Journal of Research in Engineering and Technology (IJRET), 4(9), 274–276.

Copyright

Copyright © 2025 P. Sravani, B. Harshitha, K. Deepika, T. Uday Kiran, P. Naveen. 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.