基于STM32的小型水域智能检测及清理系统设计与实现OA
Design and Implementation of Intelligent Detection and Cleaning System for Small Water Areas Based on STM32
针对城市公园、景区等小型水域的垃圾污染治理难题,文章设计了一种集成水质检测与垃圾清理功能的智能小船系统.该系统以STM32F103C8T6为主控制器,结合多传感器模块、OpenMV视觉识别系统以及机械臂抓取模块,实现水域污染物的自动识别与清理.通过 ESP8266 Wi-Fi 模块连接阿里云平台与手机 APP,支持水质数据实时回传和远程控制.测试结果表明,在小型水域中,系统对常见垃圾的识别准确率超 90％,清理成功率达 85％以上,安全系数高.该系统有效提升了小型水域治理的智能化水平.
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.
黄锐峰;赵正平
阜阳师范大学 计算机与信息工程学院,安徽 阜阳 236037阜阳师范大学 计算机与信息工程学院,安徽 阜阳 236037
信息技术与安全科学
STM32水质检测垃圾清理数据回传阿里云平台
STM32water quality detectiongarbage cleaningdata backhaulAlibaba Cloud Platform
《现代信息科技》 2026 (11)
133-137,5
国家级大学生创新训练项目(202410371035、202410371034)安徽省质量工程项目(2024jxgl043,2024xjzlts036)校级教学研究项目(2024JYXM0008)院级课程思政示范课(2020yjkcsz20,2024BY05)
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