Article Details

Abstract

To address the difficulty of balancing wide coverage, low power consumption, and low cost in traditional IoT communication, this study designs and implements a data monitoring system based on NB-IoT and the Alibaba Cloud IoT Platform. The system uses the STM32F407 as the controller and adopts a four-layer architecture consisting of the perception layer, the transmission layer, the platform layer, and the application layer. The perception layer is responsible for data collection. The transmission layer accesses the Alibaba Cloud IoT Platform through the NB-IoT module using the MQTT protocol and transmits data. Serving as the data interaction center between the perception layer and the application layer, the platform layer is responsible for data parsing, processing, interaction, and forwarding. At the application layer, the system develops a mobile app that exchanges data synchronously with the perception layer through the platform layer, enabling functions such as remote monitoring, threshold setting, alarm display, and start/stop control. Experimental results show that the system achieves accurate and reliable data transmission and that the total uplink and downlink transmission delay is approximately 2.515 s, meeting the requirement for real-time monitoring. The NB-IoT module features a normal working current of approximately 320 mA, an idle current of approximately 45 mA, and a maximum idle time of up to 65 535 s, exhibiting excellent low-power and long connection performance. The system provides a low-cost, high-reliability, and easy-to-deploy universal solution for similar IoT monitoring applications.

Keywords

NB-IoT; MQTT; Alibaba Cloud IoT Platform; STM32

References

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Funding

2022 Heyuan City Social Development Science and Technology Plan (Guiding) Project (Heke Social Development 2022097); Science and Technology Plan Project of Heyuan Vocational and Technical College in 2025 (Hzykj202506)

About the authors

Hu Yanqing (1981-), male, Han ethnicity, from Ganzhou, Jiangxi, lecturer, master's student, research interests include embedded and IoT technologies.