印度固体废物管理中的人工智能:现状和未来前景
Rajesh Singh Gurjar1, Sudesh Kumar2, Arindam Kuila3
1Department of Automation, Banasthali Vidyapith, Rajasthan, 304022, India.
Environmental monitoring and assessment
|October 31, 2025
概括
人工智能 (AI) 可以通过提高效率和减少对环境的影响来彻底改变印度的固体废物管理 (SWM). 本综述探讨了人工智能的应用,以实现更智能的废物处理和可持续的解决方案.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
背景情况:
- 印度经济的快速增长导致能源消耗和固体废物产生增加,导致严重的环境和健康问题.
- 有效的固体废物管理 (SWM) 对于减轻这些不利影响和促进可持续发展至关重要.
研究的目的:
- 调查人工智能 (AI) 在印度固体废物管理 (SWM) 部门的整合和影响.
- 评估AI在SWM中提高运营效率,降低成本和最小化环境影响方面的潜力.
主要方法:
- 审查最新的AI技术应用于废物分离,路线优化,资源回收和回收.
- 在SWM中分析机器学习,计算机视觉和预测分析.
- 检查印度城市实施基于人工智能的废物管理解决方案的案例研究.
- 对生命周期评估 (LCA) 的应用进行批判性讨论,以评估基于AI的SWM系统的可持续性和财务可行性.
主要成果:
- 人工智能技术在提高废物分离,优化收集路线和提高回收率方面显示出巨大的潜力.
- 案例研究表明,在印度城市成功实施AI,从而提高废物管理的效率.
- 生命周期评估 (LCA) 为评估SWM中AI的环境和经济效益提供了一个框架.
结论:
- 人工智能为重组印度的SWM战略提供了转型潜力,为更可持续和更有效的废物处理铺平了道路.
- 在SWM中采用AI对于应对增加废物产生和确保环境保护所带来的挑战至关重要.
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