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使用多代理系统和区块链的自主废物分类:一种低成本的智能方法.

Sergio García González1, David Cruz García1, Rubén Herrero Pérez1

  • 1Expert Systems and Applications Laboratory, Faculty of Science, University of Salamanca, 37008 Salamanca, Spain.

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本研究介绍了使用人工智能和区块链进行自动垃圾分类的智能垃圾桶. 该系统有效地对废物进行分类,提高智能城市的可持续性和透明度.

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科学领域:

  • 环境科学 环境科学
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 全球日益增长的废物产生需要先进的,可持续的废物管理解决方案.
  • 当前的废物管理系统往往缺乏效率和透明度,阻碍了有效的回收和资源回收.

研究的目的:

  • 开发和实施一个原型的智能垃圾桶用于自动垃圾分类.
  • 整合一个多代理系统和区块链技术,用于智能废物分类和透明数据管理.

主要方法:

  • 使用的传感器用于废物识别 (有机,塑料,纸张).
  • 采用多代理系统进行协作,实时分类决策.
  • 集成区块链用于不可变和透明的废物注册和可追溯性.
  • 评估YOLOv8,YOLOv11和YOLOv12用于废物检测和分类,根据性能选择YOLOv12.

主要成果:

  • YOLOv12以86.2%的mAP@50表现出卓越的性能,整体准确率为84.6%,F1得分为80.1%.
  • 通过YOLOv12实现了每张图像的处理延迟低于9毫秒,从而实现了近乎实时的应用.
  • 智能垃圾桶原型证实了精度和计算效率的可行性.

结论:

  • 开发的智能垃圾箱为废物管理中的环境智能提供了一个创新的,具有成本效益和可扩展的解决方案.
  • 该系统为可持续的城市环境中的智能废物管理基础设施奠定了基础.
  • 人工智能和区块链的整合提高了废物分类的效率,可追溯性和透明度.