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Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
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基于区块链的固体废物分类与人工智能驱动的跟踪和物联网集成.

Aliaa M Alabdali1

  • 1Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, P. O. Box 344, 21911, Rabigh, Saudi Arabia. amalabdali@kau.edu.sa.

Scientific reports
|April 30, 2025
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概括

本研究介绍了一种使用物联网和区块链的AI驱动的智能废物管理系统. 它提高了废物分类和收集效率,以实现可持续的城市环境.

科学领域:

  • 计算机科学 计算机科学
  • 环境科学 环境科学
  • 工程 工程师 工程师 工程师

背景情况:

  • 智能废物管理对于城市的可持续性和环境保护至关重要.
  • 目前的系统往往缺乏实时数据处理和安全数据处理能力.
  • 需要集成先进技术来优化废物收集和回收过程.

研究的目的:

  • 为智慧城市开发和评估人工智能驱动的废物分类模型.
  • 整合物联网 (IoT) 和区块链技术,以实现高效和安全的废物管理.
  • 通过智能决策来提高废物分类准确度和优化收集路线.

主要方法:

  • 使用支持物联网的垃圾桶收集实时废物数据.
  • 实施区块链以实现安全,透明和不可变的数据存储.
  • 采用混合机器学习 (ML) 和深度学习 (DL) 算法来进行废物分类.
  • 使用检索指标和可视化工具评估系统性能.

主要成果:

  • 人工智能模型展示了有效的实时废物分类.
  • 区块链集成确保了数据完整性,并提高了废物管理的透明度.
  • 混合ML和DL模型显示改善了废物检测和分类效率.
关键词:
人工智能的人工智能物联网的物联网,就是物联网.智能应用程序 智能应用程序智能废物管理 智能废物管理

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  • 该系统优化了废物收集和回收过程.

    • 结论:

    • 拟议的人工智能驱动系统显著提高了智能废物管理.
    • 物联网,区块链,ML和DL的整合为城市可持续性提供了强大的解决方案.
    • 这种智能方法提高了运营效率,并促进了环境责任.