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.