Accurate and continuous temperature monitoring is essential in domains such as home automation, laboratory research, and industrial process control. Conventional systems often face challenges related to high cost, limited scalability, and inefficient power utilization. To address these issues, this work proposes a cost-effective temperature monitoring framework employing the Raspberry Pi Pico microcontroller. The system integrates digital or analog temperature sensors, including DS18B20 and LM35, with the Pico to acquire real-time environmental data. The collected measurements are processed locally and subsequently presented either on an LCD interface for immediate observation or transmitted to a remote server using wireless communication technologies such as Wi-Fi or Bluetooth. Experimental implementation highlights the system’s efficiency in terms of low power consumption, reliable performance, and ease of deployment. The results demonstrate that the proposed solution provides a sustainable and adaptable alternative for temperature monitoring, with potential applications across residential, scientific, and industrial environments.
S Sanjay (Tue,) studied this question.
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