基于知识图谱的垃圾自动分类系统设计与实现 毕业论文+开题报告+中期检查表+答辩PPT+论文检测查重报告+演示视频+使用说明+设计说明+Python项目源码及数据库文件
摘 要
基于当前社会对环境保护和资源回收的日益重视，特别是在垃圾分类方面的迫切需求。随着城市化进程的加速和人们生活水平的提高，垃圾产生量不断增加，传统的垃圾处理方式已经无法满足现代社会对环境保护和资源利用的要求。因此，如何实现垃圾的高效、准确分类成为了一个亟待解决的问题。知识图谱作为一种强大的知识表示和推理工具，能够将大量的、异构的信息整合成一个结构化的网络，为智能系统的决策提供支持。在垃圾分类领域，知识图谱能够帮助系统理解垃圾的属性、类别和关系，从而实现更精准的分类。
结合上述背景，本文选题旨在利用知识图谱技术，结合Python编程语言和MySql数据库技术，结合语音识别技术，构建了一个垃圾自动分类平台。用户可以通过上传音频文件，系统对音频进行识别后自动进行垃圾分类。该系统的实现不仅为用户提供了便利的垃圾处理工具，提升了用户体验，而且从社会层面来看，有助于提升垃圾分类效率，促进环境保护和废物资源回收。通过该系统的应用，可以推动垃圾分类工作的普及和深化，响应国家对垃圾分类政策的重视。
关键词：垃圾分类；知识图谱；Python技术；语音识别；智能垃圾识别系统
Abstract
Based on the current increasing social attention to environmental protection and resource recovery, especially in the urgent needs of garbage classification. With the acceleration of urbanization and the improvement of people's living standards, the amount of garbage produced is increasing, and the traditional garbage disposal method has been unable to meet the requirements of modern society for environmental protection and resource utilization. Therefore, how to realize the efficient and accurate classification of garbage has become an urgent problem to be solved. As a powerful knowledge representation and inference tool, the knowledge graph is able to integrate a large amount of heterogeneous information into a structured network to support decision-making in intelligent systems. In the field of garbage classification, knowledge graph can help the system understand the attributes, categories and relationships of garbage, so as to achieve more accurate classification.
Combined with the above background, the topic of this paper aims to build an intelligent garbage classification platform by using knowledge graph technology, Python programming language, MySql database technology, and speech recognition technology. Users can upload audio files, and the system recognizes the audio and automatically classifies garbage. The realization of this system not only provides users with convenient waste disposal tools and improves the user experience, but also helps to improve the efficiency of waste classification and promote environmental protection and waste resource recycling from the perspective of social level. Through the application of this system, it can promote the popularization and deepening of garbage classification work, and respond to the national attention to garbage classification policy.
Key words: garbage classification; knowledge graph; Python technology; speech recognition; intelligent garbage recognition system
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