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人工智能在石棉纤维分析中的应用
Richard Lee1, Drew Van Orden2, Suzanne Blanda1
1RJ Lee Group, Inc., Pittsburgh, PA, United States.
Frontiers in public health
|July 23, 2025
概括
使用人工智能的自动化石棉检测现在是可行的,这要归功于技术的进步. 本研究回顾了纤维识别和分类方面的进展,特别是传输电子显微镜 (TEM).
科学领域:
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
- 环境科学 环境科学
背景情况:
- 自动化石棉纤维检测和识别一直是显微镜的长期目标.
- 记忆,数字处理,机器学习和自动化方面的技术进步正在实现成功.
研究的目的:
- 审查使用相对照显微镜 (PCM) 和扫描电子显微镜 (SEM) 检测和识别石棉纤维的最新进展.
- 通过传输电子显微镜 (TEM) 展示应用人工智能 (AI) 来分类石棉和非石棉两物的进展.
主要方法:
- 关于纤维检测和识别技术 (PCM,SEM) 的最新文献的审查.
- 应用人工智能算法用于使用TEM数据对延长型矿物质,特别是两矿物质进行分类.
- 评估原材料中的石棉含量.
主要成果:
- 最近的技术进步为成功的自动化石棉分析提供了一个平台.
- 人工智能在基于TEM的石棉和非石棉两物种的分类中表现有希望.
- 在评估原材料中长长的矿物质方面取得了进展.
结论:
- 自动化石棉纤维检测和识别越来越容易实现.
- 人工智能是先进石棉分析的关键推动者,特别是在TEM.
- 由于这些新方法,石棉原材料的评估正在得到加强.
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