Published

2022-01-05

Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes

Sistema de medición y monitoreo automático de la temperatura para propósitos termosolares utilizando Raspberry Pi

DOI:

https://doi.org/10.15446/mo.n64.97787

Keywords:

Raspberry Pi, the temperature measurement system, automatic temperature logging system, solar thermal pond, open-source hardware (en)
Sistema de medición de temperatura, sistema de registro automático de temperatura, Raspberry Pi, estanque termosolar, hardware de código abierto (es)

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Authors

  • Natarajan Shriethar Department of Energy Science, Alagappa University, Karaikudi.
  • Pournan Letchoumanane Department of Microbiology and Biotechnology, Presidency College, Chennai.
  • Saravanakumar Solai Department of BioElectronics and BioSensors, Alagappa University.

For automatic temperature measuring and logging purposes in solar thermal experiments, a single board computer - Raspberry Pi based and sensor system is proposed. Different data sets are observed for sensors, thermometers, and thermocouples and they are compared. The consistency of the automated temperature measurement system is also verified.

Se propone un sistema de medición y monitoreo automático de la temperatura en experimentos termosolares, basados en un computador de placa única - Raspberry Pi y un sistema de sensores. Los resultados de diferentes conjuntos de datos obtenidos por sensores, termopares y termómetros son comparados y se verifica la consistencia del sistema automático de medición de la temperatura.

References

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How to Cite

APA

Shriethar, N., Letchoumanane, P. . and Solai, S. . (2022). Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. MOMENTO, (64), 1–15. https://doi.org/10.15446/mo.n64.97787

ACM

[1]
Shriethar, N., Letchoumanane, P. and Solai, S. 2022. Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. MOMENTO. 64 (Jan. 2022), 1–15. DOI:https://doi.org/10.15446/mo.n64.97787.

ACS

(1)
Shriethar, N.; Letchoumanane, P. .; Solai, S. . Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. Momento 2022, 1-15.

ABNT

SHRIETHAR, N.; LETCHOUMANANE, P. .; SOLAI, S. . Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. MOMENTO, [S. l.], n. 64, p. 1–15, 2022. DOI: 10.15446/mo.n64.97787. Disponível em: https://revistas.unal.edu.co/index.php/momento/article/view/97787. Acesso em: 5 sep. 2024.

Chicago

Shriethar, Natarajan, Pournan Letchoumanane, and Saravanakumar Solai. 2022. “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”. MOMENTO, no. 64 (January):1-15. https://doi.org/10.15446/mo.n64.97787.

Harvard

Shriethar, N., Letchoumanane, P. . and Solai, S. . (2022) “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”, MOMENTO, (64), pp. 1–15. doi: 10.15446/mo.n64.97787.

IEEE

[1]
N. Shriethar, P. . Letchoumanane, and S. . Solai, “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”, Momento, no. 64, pp. 1–15, Jan. 2022.

MLA

Shriethar, N., P. . Letchoumanane, and S. . Solai. “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”. MOMENTO, no. 64, Jan. 2022, pp. 1-15, doi:10.15446/mo.n64.97787.

Turabian

Shriethar, Natarajan, Pournan Letchoumanane, and Saravanakumar Solai. “Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes”. MOMENTO, no. 64 (January 5, 2022): 1–15. Accessed September 5, 2024. https://revistas.unal.edu.co/index.php/momento/article/view/97787.

Vancouver

1.
Shriethar N, Letchoumanane P, Solai S. Raspberry Pi based automatic temperature measurement and logging system for solar thermal purposes. Momento [Internet]. 2022 Jan. 5 [cited 2024 Sep. 5];(64):1-15. Available from: https://revistas.unal.edu.co/index.php/momento/article/view/97787

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CrossRef citations2

1. Katerine Nayeli Raymundo Cardenas, Luiggie Wiliams Yallico Torres, Lisbeth Rosmery Asto Huarocc, Sario Angel Chamorro Quijano. (2023). Design of a Machine for the Optimization of the Potato Leaching Process to Produce Potato Starch. 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). , p.0754. https://doi.org/10.1109/UEMCON59035.2023.10316129.

2. Natarajan Shriethar, Narmadha Chandramohan, Chandramohan Rathinam. (2022). RASPBERRY PI-BASED SENSOR NETWORK FOR MULTI-PURPOSE NONLINEAR MOTION DETECTION IN LABORATORIES USING MEMS. MOMENTO, (65), p.52. https://doi.org/10.15446/mo.n65.102641.

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