Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring
This article presents the development of a compact, high-precision, and energy-efficient temperature monitoring system designed for tracking applications where continuous and accurate thermal monitoring is essential. Built around the HY0020 System-on-Chip (SoC), the system integrates two bandgap-bas...
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MDPI AG
2025-06-01
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| author | Luis Miguel Pires João Figueiredo Ricardo Martins João Nascimento José Martins |
| author_facet | Luis Miguel Pires João Figueiredo Ricardo Martins João Nascimento José Martins |
| author_sort | Luis Miguel Pires |
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| description | This article presents the development of a compact, high-precision, and energy-efficient temperature monitoring system designed for tracking applications where continuous and accurate thermal monitoring is essential. Built around the HY0020 System-on-Chip (SoC), the system integrates two bandgap-based temperature sensors—one internal to the SoC and one external (Si7020-A20)—mounted on a custom PCB and powered by a coin cell battery. A distinctive feature of the system is its support for real-time parameterization of the internal sensor, which enables advanced capabilities such as thermal profiling, cross-validation, and onboard diagnostics. The system was evaluated under both room temperature and refrigeration conditions, demonstrating high accuracy with the internal sensor showing an average error of 0.041 °C and −0.36 °C, respectively, and absolute errors below ±0.5 °C. With an average current draw of just 0.01727 mA, the system achieves an estimated autonomy of 6.6 years on a 1000 mAh battery. Data are transmitted via Bluetooth Low Energy (BLE) to a Raspberry Pi 4 gateway and forwarded to an IoT cloud platform for remote access and analysis. With a total cost of approximately EUR 20 and built entirely from commercially available components, this system offers a scalable and cost-effective solution for a wide range of temperature-sensitive applications. Its combination of precision, long-term autonomy, and advanced diagnostic capabilities make it suitable for deployment in diverse fields such as supply chain monitoring, environmental sensing, biomedical storage, and smart infrastructure—where reliable, low-maintenance thermal tracking is essential. |
| format | Article |
| id | doaj-art-3c16c1e888ee477cb09cf34b4065f20e |
| institution | OA Journals |
| issn | 2411-9660 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-3c16c1e888ee477cb09cf34b4065f20e2025-08-20T02:24:21ZengMDPI AGDesigns2411-96602025-06-01937310.3390/designs9030073Design and Development of a Low-Power IoT System for Continuous Temperature MonitoringLuis Miguel Pires0João Figueiredo1Ricardo Martins2João Nascimento3José Martins4Technologies and Engineering School (EET), Instituto Politécnico da Lusofonia (IPLuso), 1700-098 Lisbon, PortugalTechnologies and Engineering School (EET), Instituto Politécnico da Lusofonia (IPLuso), 1700-098 Lisbon, PortugalTechnologies and Engineering School (EET), Instituto Politécnico da Lusofonia (IPLuso), 1700-098 Lisbon, PortugalTechnologies and Engineering School (EET), Instituto Politécnico da Lusofonia (IPLuso), 1700-098 Lisbon, PortugalTechnologies and Engineering School (EET), Instituto Politécnico da Lusofonia (IPLuso), 1700-098 Lisbon, PortugalThis article presents the development of a compact, high-precision, and energy-efficient temperature monitoring system designed for tracking applications where continuous and accurate thermal monitoring is essential. Built around the HY0020 System-on-Chip (SoC), the system integrates two bandgap-based temperature sensors—one internal to the SoC and one external (Si7020-A20)—mounted on a custom PCB and powered by a coin cell battery. A distinctive feature of the system is its support for real-time parameterization of the internal sensor, which enables advanced capabilities such as thermal profiling, cross-validation, and onboard diagnostics. The system was evaluated under both room temperature and refrigeration conditions, demonstrating high accuracy with the internal sensor showing an average error of 0.041 °C and −0.36 °C, respectively, and absolute errors below ±0.5 °C. With an average current draw of just 0.01727 mA, the system achieves an estimated autonomy of 6.6 years on a 1000 mAh battery. Data are transmitted via Bluetooth Low Energy (BLE) to a Raspberry Pi 4 gateway and forwarded to an IoT cloud platform for remote access and analysis. With a total cost of approximately EUR 20 and built entirely from commercially available components, this system offers a scalable and cost-effective solution for a wide range of temperature-sensitive applications. Its combination of precision, long-term autonomy, and advanced diagnostic capabilities make it suitable for deployment in diverse fields such as supply chain monitoring, environmental sensing, biomedical storage, and smart infrastructure—where reliable, low-maintenance thermal tracking is essential.https://www.mdpi.com/2411-9660/9/3/73IoTlow-power sensingtemperature monitoringbandgap sensorsensor parameterizationSoC |
| spellingShingle | Luis Miguel Pires João Figueiredo Ricardo Martins João Nascimento José Martins Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring Designs IoT low-power sensing temperature monitoring bandgap sensor sensor parameterization SoC |
| title | Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring |
| title_full | Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring |
| title_fullStr | Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring |
| title_full_unstemmed | Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring |
| title_short | Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring |
| title_sort | design and development of a low power iot system for continuous temperature monitoring |
| topic | IoT low-power sensing temperature monitoring bandgap sensor sensor parameterization SoC |
| url | https://www.mdpi.com/2411-9660/9/3/73 |
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