人工智能支持的微塑料的收集和表征:一篇综述
Pengwei Guo1, Yuhuan Wang1, Parastoo Moghaddamfard1
1Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States.
Journal of hazardous materials
|April 28, 2024
概括
人工智能 (AI) 提供了收集和表征微塑料的先进方法,这对于了解和减轻污染至关重要. 这篇评论详细介绍了人工智能技术,机器人技术和机器学习,以有效打击微塑料污染.
科学领域:
- 环境科学 环境科学
- 材料科学 材料科学 材料科学
- 计算机科学 计算机科学
背景情况:
- 微塑料污染在水上和陆地环境中普遍存在.
- 微塑料对人类和动物健康构成重大风险.
- 需要先进的方法来收集和表征微塑料.
研究的目的:
- 审查人工智能 (AI) 支持的微塑料收集和表征技术.
- 提出将机器人和机器学习整合到微塑料分析中的框架.
- 引导人工智能技术的选择,以减轻微塑料污染.
主要方法:
- 对微塑料分析的AI技术 (机器人,机器学习) 的综合文献综述.
- 对人工智能原则,优势,局限性,应用和技术准备水平的分析.
- 使用人工智能进行简化微塑料管理的框架的开发.
主要成果:
- 人工智能技术在提高微塑料收集和表征效率和准确性方面显示出前景.
- 为应用人工智能,机器人和机器学习提出了一个结构化的框架.
- 评估了各种人工智能工具的适用性,以解决微塑料污染问题.
结论:
- 人工智能,机器人和机器学习为解决微塑料污染提供了强大的解决方案.
- 为了有效地整合这些技术,需要进一步的研究和开发.
- 对人工智能工具的战略选择可以加速减轻微塑料影响的进展.
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