Abstract
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.
Ethical Statement
Ethics committee approval was not required for this study because of there was no study on animals or humans.
References
- 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.
Abstract
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.
Ethical Statement
Ethics committee approval was not required for this study because of there was no study on animals or humans.
References
- 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.
Details
| Primary Language | English |
|---|---|
| Subjects | Network Engineering, Wireless Communication Systems and Technologies (Incl. Microwave and Millimetrewave), Data Communications |
| Journal Section | Research Articles |
| Authors | |
| Early Pub Date | November 12, 2025 |
| Publication Date | November 15, 2025 |
| Submission Date | July 11, 2025 |
| Acceptance Date | August 20, 2025 |
| Published in Issue | Year 2025 Volume: 8 Issue: 6 |
