Design and Implementation of Intelligent Detection and Cleaning System for Small Water Areas Based on STM32
(School of Computer and Information Engineering, Fuyang Normal University, Fuyang 236037, China)
Abstract
Aiming at the problem of garbage pollution control in small water areas such as urban parks and scenic spots, an intelligent boat system integrating water quality detection and garbage cleaning functions is designed. The system uses STM32F103C8T6 as the main controller, combined with a multi-sensor module, OpenMV visual recognition system and manipulator grasping module to realize the automatic identification and cleaning of water pollutants. The ESP8266 Wi-Fi module is connected to the Alibaba Cloud platform and the mobile phone APP to support real-time backhaul and remote control of water quality data. The test results show that in small water areas, the system has a recognition accuracy of over 90% for common garbage and a cleaning success rate of more than 85%, and it has a high safety factor. This system effectively improves the intelligence level of small water area governance.
Keywords
STM32; water quality detection; garbage cleaning; data backhaul; Alibaba Cloud Platform
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Funding
National College Student Innovation Training Program (202410371035, 202410371034); Anhui Province Quality Engineering Project (2024jxgl0432024xjzlts036); School level Teaching Research Project (2024JYXM0008); College level Course Ideological and Political Demonstration Course (2020yjkcsz202024BY05)
About the authors
Huang Ruifeng (2003-), male, Han ethnicity, from Chengdu, Sichuan, is currently pursuing a bachelor's degree with a research focus on embedded system design; Corresponding author: Zhao Zhengping (1976-), female, Han ethnicity, from Chaohu, Anhui Province, associate professor, master's student, research direction: computer application technology.