Humidity and temperature monitoring using Raspberry Pi via RS232 networking

This study describes the design and implementation of a dependable and reasonably priced environmental monitoring system that uses a Raspberry Pi and a Sunrom Model #1211 sensor to measure temperature and humidity. The system is designed for use in fields where real-time monitoring is essential, such as climate research, industrial automation, and agriculture. A MAX232 IC facilitates RS232 networking, which guarantees reliable data transfer and steady voltage-level conversion. The Python program gathers and processes sensor data at regular intervals using the pySerial library. The system's real-time feedback capability, modular design, and verified accuracy—obtained by comparison with a digital thermo-hygrometer (HTC-2) of commercial grade—are among its main advantages. The system is a scalable and effective tool for gathering environmental data because of its architecture, which facilitates simple integration with extra sensors and can be modified for deployment in various environments.

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Publication Details

Journal
Array
Published
2025-07-19
DOI
https://doi.org/10.1016/j.array.2025.100464
Primary Topic
Educational Robotics and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Humidity and temperature monitoring using Raspberry Pi via RS232 networking

Array
Educational Robotics and Engineering
article

Humidity and temperature monitoring using Raspberry Pi via RS232 networking

article en

Abstract

This study describes the design and implementation of a dependable and reasonably priced environmental monitoring system that uses a Raspberry Pi and a Sunrom Model #1211 sensor to measure temperature and humidity. The system is designed for use in fields where real-time monitoring is essential, such as climate research, industrial automation, and agriculture. A MAX232 IC facilitates RS232 networking, which guarantees reliable data transfer and steady voltage-level conversion. The Python program gathers and processes sensor data at regular intervals using the pySerial library. The system's real-time feedback capability, modular design, and verified accuracy—obtained by comparison with a digital thermo-hygrometer (HTC-2) of commercial grade—are among its main advantages. The system is a scalable and effective tool for gathering environmental data because of its architecture, which facilitates simple integration with extra sensors and can be modified for deployment in various environments.

ArrayVol. 27
Centro de Salud Casa del Barco (ES)
Affordable and clean energy
Openalex Percentile: Top 76%
Educational Robotics and Engineering
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