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

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

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-17
DOI
https://doi.org/10.22214/ijraset.2025.67458
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

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

P. Sravani
International Journal for Research in Applied Science and Engineering Technology
IoT and Edge/Fog Computing
article

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

P. Sravani
article en

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

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 96%
IoT and Edge/Fog Computing
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