基于STM32的语音分类垃圾桶设计  

Design of Classified Trash Can with Speech Recognition Based on STM32

作　　者：杨帆[1,2] 秦智鹏 YANG Fan;QIN Zhipeng(School of Electrical and Information Engineering,Wuhan Institute of Technology,Wuhan 430205,China;Hubei Video Image and HD Projections Engineering Research Center,Wuhan 430205,China)

机构地区：[1]武汉工程大学电气信息学院,湖北武汉430205 [2]湖北省视频图像与高清投影工程技术研究中心,湖北武汉430205

出　　处：《武汉工程大学学报》2020年第6期693-697,共5页Journal of Wuhan Institute of Technology

摘　　要：为了有效地处理日常生活垃圾,以STM32F103RCT6芯片为处理核心,设计了一种语音分类垃圾桶。系统通过识别接收的语音信息,驱动电机打开和关闭桶盖以及控制内部分类桶旋转,通过压力检测模块实时检测是否箱满并在箱满时通过LED报警。试验结果表明,在0~6 m的范围内语音识别模块可以及时准确的识别信息,并且相较于传统的智能垃圾桶本设计在箱满时可以更有效地挤压桶内垃圾,充分利用桶内空间,避免出现误报以及频繁更换垃圾袋的情况。为日常生活垃圾分类智能化与便捷化提供了有效的方法。To treat garbage in our daily life effectively,a classified trash can with the feature of speech recognition was designed based on the STM32F103RCT6 chip.The system drives motors to open and close a cover of trash can and rotate the inner barrel automatically according to the input speech commands.The pressure measuring module detects the free space of the trash can and displays the information through light emitting diode.Experimental results show that the speech recognition module can accurately identify speech commands in a distance range of 0-6 m.Compared with the traditional smart trash can,the designed can utilizes the space of the can more efficiently by squeezing the garbage automatically when it is almost full.Additionally,it decreases false alarm rate and reduces the consumption of garbage bags.The proposed technique provides an effective method for the intelligent and convenient classification of daily garbage.

关 键 词：垃圾分类 STM32 语音识别 步进电机 空间利用 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]