人工智能和物联网框架,用于医院可持续的危险废物管理
Amit Krishan Kumar1, Yasir Ali2, Rahul R Kumar3
1Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam; Faculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, 550000, Viet Nam.
Waste management (New York, N.Y.)
|May 1, 2025
概括
本研究介绍了用于医院危险废物管理的AI和物联网框架. 它通过智能垃圾桶,人工智能驱动的分类和优化的物流来提高安全性和效率.
科学领域:
- 医疗废物管理 医疗废物管理
- 医疗保健中的人工智能
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 医院产生大量的危险废物,带来安全和环境风险.
- 当前的废物管理系统往往缺乏效率和安全性.
- 需要先进的解决方案来处理复杂的医疗保健废物流.
研究的目的:
- 提出一个集成的人工智能 (AI) 和物联网 (IoT) 框架,以确保医院的安全和高效的危险废物管理.
- 加强危险医院废物的检测,分类和分类.
- 使用人工智能优化消毒安排和废物储存.
主要方法:
- 利用智能垃圾桶与物联网启用锁进行安全的废物收集.
- 实施的卷积神经网络 (CNN) 和适应性神经模糊推理系统 (ANFIS) 用于废物检测和分类.
- 提出了一个动力废物分类机制,以提高空间效率.
- 使用深度强化学习来优化消毒和储存.
- 利用联合学习来实现安全,分散的数据处理.
主要成果:
- 在废物分类准确度方面显著改善.
- 减少了在废物管理过程中需要人工干预的需要.
- 确保遵守医疗保健安全政策.
- 通过小规模的实验设置验证AI模型.
结论:
- 拟议的AI和物联网框架为医疗保健机构的危险废物管理提供了可扩展和安全的解决方案.
- 该研究强调了集成的人工智能和物联网技术的潜力,可以彻底改变医院废物管理.
- 该框架可以适应其他行业的危险废物管理.
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