The motivation of the project was to build a system that can monitor air quality and get the data to cloud. Such systems if installed across cities and in a country can lead to great deal applications that will include big data analysis and forecasting over global regions. Thus the trends in air pollution exposure can be projected using the measurements and model simulations so that we can take necessary actions for health safety of mankind.
The first prototype hardware and software is been built between Feb to Aug 2019 to get Air quality data and upload it via free Cloud Server – Thingspeak. The initial proof of concept is prepared as part of phase 1 work. This proposal document is to build a system closer to a commercial level that can measure the air quality, store the same on SD card with the capability to upload the data to cloud via WiFi and GSM. The system will have the capability to work on power source, solar source or a battery backup that gets charged with one of power sources.
In modern healthcare, Intravenous (I-V) therapy is indispensable for delivering medications and fluids to patients. However, challenges such as the need for constant I-V
level monitoring, potential oversight of bottle replacement, insufficient equipment, and risks from reverse flow compel a comprehensive strategy. To address these challenges, our project focuses on optimizing I-V therapy administration through advanced monitoring systems with dash board user interface that includes visualization of live status, automated reminders for bottle replacement, and adjustments to existing devices. The integration of modern machinery not only increases the safety of I-V treatment but also aids to practicality by minimizing the possibility of issues associated to equipment. It also enables an improved productivity for nursing fraternity. Components include Arduino Mega, LED-LDR, GSM module, OLED display, servo motor controlled pinch valve, and the Blynk IoT platform. This collaborative effort aims to establish a robust framework for safe and efficient I-V therapy, enhancing patient outcomes.
The objective was to design and develop to provides real-time I-V status visualization through a dashboard interface, automated reminders for timely bottle replacement, includes mechanisms to prevent reverse flow and streamline I-V administration and enhance nursing productivity by minimizing manual monitoring.