Supplementary Material: A Project Report on “IoT-Driven Cloud‑based Approach for Comprehensive Indoor Air Quality Monitoring Device in Educational Environments”

Abstract

The main concern of this project is to focus on IoT based devices and to distinguish if the IoT based device is as equal as the industrial graded device, by looking into the data and evaluating accuracy of the device that we have made, and provide a low cost solution. Collation of data is determined to be done to examine the accuracy of the data retrieved from the IoT based device. Errors are measured and compared to justify that our IoT based device is as good as the industrial ones. Sidewise, heading to the goal of finding an inexpensive solution, we will be learning more about the advanced air monitoring technology used by AirVisual Pro and analyze the data to determine the accuracy of the device we built. This document provides additional technical details to complement the main manuscript. It includes a detailed bill of materials (BOM) for the low-cost indoor air quality (IAQ) sensor nodes, descriptions of the sensor node’s physical design and the classroom deployment setup (including exact dimensions and placement heights), a schematic layout of the classroom with sensor locations and ventilation features, an overview of the software system (particularly the MQTT–Node-RED data pipeline with JSON processing logic and database insertion), and a summary of debugging challenges encountered during deployment (with their resolutions). Where relevant, insights from earlier project stages and manuscript versions are incorporated to enrich the methodology and design narrative.