Article Details

Title · Authors · Abstract · Keywords · DOI · References

Automatic Feeding System Based on Internet of Things

WANG Zibo, QIU Zemin, CHEN Jinhuang, LIU Yifeng

(School of Information and Intelligent Engineering, Guangzhou Xinhua University, Dongguan 523133, China)

Section：Internet of Things · Vol. 2025, Issue 6 · Pages：194-198 · 2096-4706（2025）06-0194-05 · CLC number：TN929.5 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2025.06.036

Abstract

In today's fast-paced life, pet owners often fail to feed their pets on time. In order to solve this problem, this paper designs an intelligent pet feeding system based on Internet of Things technology, which has the functions of remote monitoring, intelligent feeding, and so on. The system realizes the automation of hardware through the Internet of Things technology, and combines intelligent algorithms and data analysis technology to improve the intelligence of software. The system takes STM32 as the core for logical control, including four main modules to realize the corresponding functions, providing convenient and intelligent feeding experience for pet owners. After debugging and experimental verification, the design can effectively achieve the expected goal and provide technical support for the automatic feeding system.

Keywords

Internet of Things technology; feeding system; intelligent algorithm

References

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About the authors

Wang Zibo (2004-), male, Han ethnicity, from Jieyang, Guangdong, is currently pursuing a bachelor's degree with a research focus on the Internet of Things.