Smart Temperature Monitoring and Control Using SBC Boards and IoT Technology

Abstract

This study investigates a temperature monitoring and control system using Single Board
Computers (SBCs) integrated with Internet of Things (IoT) technology, designed for real-time climate
regulation in diverse environments. By utilizing SBCs like the Raspberry Pi, the system reads data from
temperature sensors and executes control commands to maintain optimal conditions through connected
devices, including RGB LEDs, heaters, and air conditioning units. Cisco Packet Tracer is employed for
system simulation, demonstrating the setup’s architecture and functionality, as well as its effectiveness in
achieving seamless interaction between hardware components. IoT connectivity allows for remote
monitoring and automation, enhancing the system’s scalability, flexibility, and overall utility in both
industrial and residential settings. The low energy consumption of Single Board Computers combined
with precise control logic promotes energy efficiency, as appliances are only activated when needed. This
study also discusses the potential for machine learning integration to achieve predictive control, enabling
adaptive responses to environmental changes. By presenting a practical, scalable, and cost-effective
solution, this research underscores the value of Single Board Computers and IoT technologies in
advancing automated temperature management systems. The framework can be further expanded for use
in dynamic applications, supporting future innovations in sustainable and efficient climate control.