Design and implementation of intelligent feeding system based on ESP32-C3 microcontroller

LUO Lihua; WU Rili

doi:10.19301/j.cnki.zncs.2025.10.017

Abstract：The article focuses on the shortcomings of traditional pet feeding equipment in terms of time regulation,remote operation,and environmental perception,aiming to build an intelligent care system and achieve intelligent pet feeding management.Design a multifunctional pet care platform by integrating embedded control,IoT,and multimodal sensing technologies.The system adopts a layered architecture,with ESP32-C3 microcontroller as the hardware core,integrating multiple sensors to achieve monitoring of food,drinking water,and environmental parameters.The software is based on the FreeRTOS system and utilizes the Message Queuing Telemetry Transmission Protocol(MQTT)to achieve communication and remote control between devices and the cloud.The platform features a built-in fuzzy control algorithm that can adjust feeding and drinking strategies based on environmental conditions and pet activity.Results show that the system can successfully provide early warnings of food shortages,automatically adjust water intake,and has a low device failure rate.The hardware cost of this system is about 40% lower than similar products,and its modular design can accommodate various pets,providing a reference for the intelligent management of pet care and livestock industries.