IoT Smart Building System Development for Indoor Air Quality

Abstract

A system that reads PM2.5 and Co2 then react to the dangerous sensors levels to maintain the air quality indoor by opening either the window or the air conditioner based on the outdoor weather quality, is the aim of this project. Development of an IoT based Air quality system requires a group of investigations to fulfil all the aspects. System design illustrated the both the overall structural design of the system, and the hardware integration classifications. While some UML addressed, the focus on a behavioural model such as the activity model added value to the system testing plan, which it had an execution path based on this model to test the system. Integration between IoT architecture and software based on LAMP stack has brough a list of possible technical challenges, and research to be put in the plan. Further security implementation has been taken in account to minimise the risk of possible attack vectors, such as SQL Injection. Moreover, this security layer was the pavement to API development to serve both the dashboard and the MQTT broker event. With all the previous diverse of integration, system development has been achieved in steady steps, due to the management of agile mythology applied on the Trello tool. Likewise, code changes and updates has been handled by Github. Finally, plus all the inputs of hard work and determine to achieve the aim of this project, a fully reliable products in beta stage can be seen in the video demonstration.