Development of IoT Module with AI Function Using STM32 Chip
- https://doi.org/10.2991/jrnal.k.201215.009How to use a DOI?
- Internet of things (IoT), fuzzy-AHP, adaptive fusion method (AFM), sensor network
The application of Internet of Things (IoT) has been widely used in our lives with the advancement of related software and hardware technologies. In order to make these IoT modules more intelligent, many IoT modules have begun to incorporate artificial intelligence algorithms. Therefore, this paper develops IoT module with STM32 chip as main controller. This module uses fuzzy analytic hierarchy process (fuzzy-AHP) and adaptive fusion method (AFM) to improve the correctness and self-learning ability of the sensor. In terms of communication, the IoT module has Ethernet, Wi-Fi, LoRa, etc. communication interfaces. We also built a web server on this module, so the IoT module can operate directly in the browser. Finally, we developed a monitoring system. Through this monitoring system, multiple IoT modules can be constructed into a sensor network. This monitoring system can also use same algorithm to correct and isolate data from modules or sensors in the network to make this module more intelligent and applicable in different areas.
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Hung Guo AU - Evgeni Magid AU - Kuo-Hsien Hsia AU - Kuo-Lan Su PY - 2020 DA - 2020/12 TI - Development of IoT Module with AI Function Using STM32 Chip JO - Journal of Robotics, Networking and Artificial Life SP - 253 EP - 257 VL - 7 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.201215.009 DO - https://doi.org/10.2991/jrnal.k.201215.009 ID - Guo2020 ER -