一个创新的医疗废物管理系统在智能城市使用XAI和车辆路线优化优化
Zineb Boudanga1, Siham Benhadou1, Hicham Medromi2
1Engineering research laboratory (LRI), System Architecture Team (EAS), National and high school of electricity and mechanic (ENSEM), University Hassan II Casablanca, Casablanca, Grand Casablanca, Morocco.
F1000Research
|November 6, 2023
概括
这项研究介绍了一种使用传感器和人工智能等先进技术的智能医疗废物管理系统. 它优化了分类,储存和运输,改善了公共卫生和环境保护.
科学领域:
- 环境科学 环境科学
- 公共卫生 公共卫生
- 计算机科学 计算机科学
背景情况:
- 医疗废物管理是复杂的,带来健康和环境风险.
- 需要有效的策略来规范合规和降低风险.
- 本研究提出了一种新的,以技术为导向的医疗废物管理方法.
研究的目的:
- 开发一个高效和智能医疗废物管理系统.
- 优化废物分类,储存和处理过程.
- 通过实时数据分析来增强决策.
主要方法:
- 使用了带有身份证标签的彩色袋子,带有传感器 (物体识别,环境) 的智能容器和配备GPS的车辆.
- 集成可解释的人工智能 (XAI) 使用scikit-learn,xgboost,catboost,lightgbm和skorch进行数据分析.
- 采用遗传算法 (GA) 来优化车辆路线和收集物流.
主要成果:
- 综合系统优化了医疗废物分类,储存和处理操作.
- 来自XAI的实时见解和数据分析有助于做出明智的决策.
- 遗传算法通过优化废物收集路线,有效地减少了运输时间.
结论:
- 这种新的系统提高了医疗废物管理效率和智能.
- 集成先进技术,优化算法和XAI改善了实践.
- 这种方法通过更好的废物管理,有利于公共卫生和环境保护.
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