Development of an IoT-Based Real-Time Psychrometric Data Acquisition and Visualization System
Milovan Medojević, Dušan Simić, Milana Medojević · 2024
The development of an Internet of Things (IoT)-based real-time psychrometric data acquisition and visualization system aims to enhance the monitoring and analysis of environmental conditions, specifically temperature and humidity. This system leverages IoT technologies to collect and generate psychrometric data from sensors distributed across various locations. These sensors transmit data wirelessly to a central server, where it is processed and stored. The core of the system is a user-friendly web interface that provides real-time visualization of the collected data through interactive graphs and charts. This interface enables users to monitor trends, identify anomalies, and make data-driven decisions efficiently. Additionally, the system includes features such as data logging, threshold-based alerts, and historical data analysis, making it a comprehensive tool for applications in agriculture, HVAC systems, climate research and much more. By integrating IoT with advanced data visualization techniques, the system offers a scalable and cost-effective solution for real-time environmental monitoring, ensuring improved accuracy and responsiveness. This paper demonstrates the potential of IoT in transforming traditional data acquisition methods, providing a robust framework for future advancements in smart and sustainable environmental monitoring systems.