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Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach

Yıl 2025, Cilt: 8 Sayı: 6, 1689 - 1696, 15.11.2025
https://doi.org/10.34248/bsengineering.1739993

Öz

In this article, an advanced environmental monitoring and management automation system, developed using the Raspberry Pi Pico microcontroller and capable of real-time processing of data from multiple sensors, is presented. The designed system is able to conduct detailed analyses of energy consumption and through integrated dynamic alert mechanisms, can automatically respond to critical situations. Additionally, the system possesses the capacity to maintain uninterrupted operation during extraordinary circumstances such as power outages or internet disconnections, thanks to its internal power supply and data backup features. Adopting a novel approach, the physical design of the device has been optimized for production via 3D printing, enabling individual users or small-scale manufacturers to implement this automation solution cost-effectively and flexibly. This study aims to address gaps in the current literature by offering a comprehensive and practical example of an environmental monitoring automation system, thereby bridging the gap between theoretical frameworks and real-world applications.

Etik Beyan

Ethics committee approval was not required for this study because of there was no study on animals or humans.

Kaynakça

  • Alahakoon D, Yu X. 2016. Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey. IEEE Trans Ind Inform, 12(1): 425-436.
  • Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. 2015. Internet of Things: A Survey on Enabling Technologies, Protocols and Applications. IEEE Commun Surv Tutor, 17(4): 2347-2376.
  • Centenaro M, Vangelista L, Zanella A, Zorzi M. 2016. Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios. IEEE Wirel Commun, 23(5): 60-67.
  • Deshmukh AD, Shinde UB. 2016. A low cost environment monitoring system using raspberry pi and Arduino with Zigbee. In: Proceedings of the International Conference on Inventive Computation Technologies (ICICT 2016), pp: 1-6.
  • Ford S, Despeisse M. 2016. Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. J Clean Prod, 137: 1573-1587.
  • Gedik E, Togay A, Çoşkun M, Demirhan E. 2018. Investigation of the usage possibilities of three-dimensional printing in product design in furniture industry. Int J 3D Print Technol Digit Ind, 2(2): 16-25.
  • Geng X, Zhang Q, Wei Q, Zhang T, Cai Y, Liang Y, Sun X. 2019. A mobile greenhouse environment monitoring system based on the internet of things. IEEE Access, 7: 135832-135844.
  • Gubbi J, Buyya R, Marusic S, Palaniswami M. 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener Comput Syst, 29(7): 1645-1660.
  • Kansal A, Hsu J, Zahedi S, Srivastava MB. 2007. Power management in energy harvesting sensor networks. ACM Trans Embed Comput Syst, 6(4): 32.
  • Loker DR. 2023. Raspberry Pi Pico as an IoT device. In: 2023 ASEE Annual Conference and Exposition, June 25-28, Baltimore, Maryland, US, pp: 23.
  • Özdemir İH, Görkem L. 2022. Early warning system design and implementation using LoRaWAN technology. Gaziosmanpasa J Sci Res, 11(2): 194-207.
  • Rayna T, Striukova L. 2016. From rapid prototyping to home fabrication: How 3D printing is changing business model innovation. Technol Forecast Soc Change, 102: 214-224.
  • Umakoğlu İ, Keskin D, Pense C. 2024. The design of a LoRa-based telemetry data transmission system for intelligent transportation systems. J Intell Transp Syst Appl, 7(2): 215-241.
  • Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M. 2014. Internet of things for smart cities. IEEE Internet Things J, 1(1): 22-32.

Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach

Yıl 2025, Cilt: 8 Sayı: 6, 1689 - 1696, 15.11.2025
https://doi.org/10.34248/bsengineering.1739993

Öz

In this article, an advanced environmental monitoring and management automation system, developed using the Raspberry Pi Pico microcontroller and capable of real-time processing of data from multiple sensors, is presented. The designed system is able to conduct detailed analyses of energy consumption and through integrated dynamic alert mechanisms, can automatically respond to critical situations. Additionally, the system possesses the capacity to maintain uninterrupted operation during extraordinary circumstances such as power outages or internet disconnections, thanks to its internal power supply and data backup features. Adopting a novel approach, the physical design of the device has been optimized for production via 3D printing, enabling individual users or small-scale manufacturers to implement this automation solution cost-effectively and flexibly. This study aims to address gaps in the current literature by offering a comprehensive and practical example of an environmental monitoring automation system, thereby bridging the gap between theoretical frameworks and real-world applications.

Etik Beyan

Ethics committee approval was not required for this study because of there was no study on animals or humans.

Kaynakça

  • Alahakoon D, Yu X. 2016. Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey. IEEE Trans Ind Inform, 12(1): 425-436.
  • Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. 2015. Internet of Things: A Survey on Enabling Technologies, Protocols and Applications. IEEE Commun Surv Tutor, 17(4): 2347-2376.
  • Centenaro M, Vangelista L, Zanella A, Zorzi M. 2016. Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios. IEEE Wirel Commun, 23(5): 60-67.
  • Deshmukh AD, Shinde UB. 2016. A low cost environment monitoring system using raspberry pi and Arduino with Zigbee. In: Proceedings of the International Conference on Inventive Computation Technologies (ICICT 2016), pp: 1-6.
  • Ford S, Despeisse M. 2016. Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. J Clean Prod, 137: 1573-1587.
  • Gedik E, Togay A, Çoşkun M, Demirhan E. 2018. Investigation of the usage possibilities of three-dimensional printing in product design in furniture industry. Int J 3D Print Technol Digit Ind, 2(2): 16-25.
  • Geng X, Zhang Q, Wei Q, Zhang T, Cai Y, Liang Y, Sun X. 2019. A mobile greenhouse environment monitoring system based on the internet of things. IEEE Access, 7: 135832-135844.
  • Gubbi J, Buyya R, Marusic S, Palaniswami M. 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener Comput Syst, 29(7): 1645-1660.
  • Kansal A, Hsu J, Zahedi S, Srivastava MB. 2007. Power management in energy harvesting sensor networks. ACM Trans Embed Comput Syst, 6(4): 32.
  • Loker DR. 2023. Raspberry Pi Pico as an IoT device. In: 2023 ASEE Annual Conference and Exposition, June 25-28, Baltimore, Maryland, US, pp: 23.
  • Özdemir İH, Görkem L. 2022. Early warning system design and implementation using LoRaWAN technology. Gaziosmanpasa J Sci Res, 11(2): 194-207.
  • Rayna T, Striukova L. 2016. From rapid prototyping to home fabrication: How 3D printing is changing business model innovation. Technol Forecast Soc Change, 102: 214-224.
  • Umakoğlu İ, Keskin D, Pense C. 2024. The design of a LoRa-based telemetry data transmission system for intelligent transportation systems. J Intell Transp Syst Appl, 7(2): 215-241.
  • Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M. 2014. Internet of things for smart cities. IEEE Internet Things J, 1(1): 22-32.
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ağ Mühendisliği, Kablosuz Haberleşme Sistemleri ve Teknolojileri (Mikro Dalga ve Milimetrik Dalga dahil), Veri İletişimleri
Bölüm Research Articles
Yazarlar

Fikri Ağgün 0000-0001-9550-1462

Raif Sime 0009-0008-4292-2456

Erken Görünüm Tarihi 12 Kasım 2025
Yayımlanma Tarihi 15 Kasım 2025
Gönderilme Tarihi 11 Temmuz 2025
Kabul Tarihi 20 Ağustos 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 6

Kaynak Göster

APA Ağgün, F., & Sime, R. (2025). Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. Black Sea Journal of Engineering and Science, 8(6), 1689-1696. https://doi.org/10.34248/bsengineering.1739993
AMA Ağgün F, Sime R. Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. BSJ Eng. Sci. Kasım 2025;8(6):1689-1696. doi:10.34248/bsengineering.1739993
Chicago Ağgün, Fikri, ve Raif Sime. “Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach”. Black Sea Journal of Engineering and Science 8, sy. 6 (Kasım 2025): 1689-96. https://doi.org/10.34248/bsengineering.1739993.
EndNote Ağgün F, Sime R (01 Kasım 2025) Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. Black Sea Journal of Engineering and Science 8 6 1689–1696.
IEEE F. Ağgün ve R. Sime, “Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach”, BSJ Eng. Sci., c. 8, sy. 6, ss. 1689–1696, 2025, doi: 10.34248/bsengineering.1739993.
ISNAD Ağgün, Fikri - Sime, Raif. “Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach”. Black Sea Journal of Engineering and Science 8/6 (Kasım2025), 1689-1696. https://doi.org/10.34248/bsengineering.1739993.
JAMA Ağgün F, Sime R. Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. BSJ Eng. Sci. 2025;8:1689–1696.
MLA Ağgün, Fikri ve Raif Sime. “Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach”. Black Sea Journal of Engineering and Science, c. 8, sy. 6, 2025, ss. 1689-96, doi:10.34248/bsengineering.1739993.
Vancouver Ağgün F, Sime R. Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. BSJ Eng. Sci. 2025;8(6):1689-96.

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