基于语音识别的破袋处理智能垃圾桶设计
Design of an Intelligent Garbage Bin for Handling Broken Bags Based on Speech Recognition

校园垃圾定点定时投放存在投放时间集中且短时投放量大的问题，对此本论文基于语音识别技术，设计了一种新型校园智能垃圾桶，旨在解决传统垃圾桶中环卫工人需要手动破袋分类垃圾的问题。通过分析用户语音指令，智能垃圾桶能够自动识别垃圾种类，并根据分类要求自动投放。实验结果表明，该系统在提高垃圾桶使用便捷性和用户体验方面取得了显著效果。本研究为智能垃圾桶设计领域提供了一种创新的解决方案，具有广泛的应用前景。文章应用STM32微控制器作为核心控制元件，采用SU-03T离线语音模组与STM32的通讯，完成智能垃圾桶的语音识别智能化分类处理，利用控制器来控制舵机旋转实现垃圾桶投放口分类、电推杆的上升下降实现垃圾的破袋、压缩以及湿垃圾袋的再分类。
There is a problem of concentrated disposal time and large amount of short-term disposal of campus garbage. Based on speech recognition technology, this paper designs a new type of campus intelligent garbage bin, aiming to solve the problem of environmental sanitation workers needing to manually break bags and classify garbage in traditional garbage bins. By analyzing user voice commands, the intelligent garbage bin can automatically recognize the type of garbage and automatically dispose it according to classification requirements. The experimental results show that the system has achieved significant results in improving the convenience and user experience of using trash cans. This study provides an innovative solution for the field of intelligent trash can design, with broad application prospects. The article applies the STM32 microcontroller as the core control component, and uses the SU-03T offline voice module to communicate with STM32 to achieve intelligent speech recognition and classification processing of the intelligent garbage bin. The controller is used to control the rotation of the servo to achieve the classification of the garbage bin opening, the rise and fall of the electric push rod to achieve the breaking and compression of garbage bags, and the re-classification of wet garbage bags.