Control System of Air Handling Unit Based on Human-Machine Interface and Internet of Things

This monograph explores the transformative impact of integrating Human-Machine Interface (HMI) and Internet of Things (IoT) technologies within Air Handling Unit (AHU) control systems in the context of Heating, Ventilation, and Air Conditioning (HVAC) systems. The introduction highlights the exponential growth of IoT devices globally and identifies key sectors, such as building security, manufacturing, automotive, retail, and building management automation, where IoT technology has become integral.

The focus then narrows to AHU control systems, emphasizing their critical role in maintaining indoor air quality and thermal comfort. Traditional paradigms are contrasted with the dynamic potential brought about by HMI and IoT integration, promising increased adaptability, sustainability, and user intuitiveness. The monograph underscores the benefits, including real-time adjustments, data visualization, and user-centric customization, as well as the potential for energy optimization and prophylactic maintenance.

The integration of IoT and HMI technologies not only enhances user experiences but also addresses environmental concerns. The monograph emphasizes the role of IoT-augmented AHUs in contributing to sustainable architectural norms and energy-efficient infrastructure, ultimately curbing greenhouse gas emissions.

Furthermore, it introduces the emerging trend of edge computing in AHU control systems, highlighting its potential for real-time decision-making, reduced latency, and enhanced data privacy. The narrative explores the pivotal role of advanced sensors in IoT-enabled AHUs, facilitating data-driven decision-making, predictive maintenance, and improved energy efficiency.

This monograph aims to provide a comprehensive perspective on AHU control systems, offering theoretical foundations, real-world implementations, and insights into the transformative potential of integrating HMI and IoT technologies. The exploration of edge computing, advanced sensors, and cloud integration further positions this work at the forefront of advancing real-time decision-making capabilities and sustainability in the HVAC industry.