探索人工智能在改善服务建设中的作用
Yassine Bouabdallaoui1, Laure Ducoulombier2, Zoubeir Lafhaj3
1Centrale Lille, CNRS, Univ. Lille, UMR 9013 - LaMcube - Laboratoire de Mécanique, Multiphysique, Multi-échelle, Lille F-59000, France.
Waste management (New York, N.Y.)
|August 23, 2024
概括
人工智能 (AI) 可以改善建筑物中的固体废物分类. 人工智能虚拟助理使用语音和图像识别来指导用户,增强废物管理实践和可持续发展努力.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 设施管理设施管理
背景情况:
- 有效的固体废物管理依赖于楼宇居民的上游分类.
- 用户行为和合规性至关重要,但在动态环境中保持这一点具有挑战性.
- 目前的废物分类方法因建筑群体的变化而面临困难.
研究的目的:
- 探索人工智能 (AI) 在改善固体废物分类方面的作用.
- 为废物管理服务和指令开发一个虚拟助手.
- 为应对在服务建筑中培养分类行为所面临的挑战.
主要方法:
- 使用人工智能开发虚拟助理.
- 整合自然语言处理 (NLP) 用于语音识别.
- 实现计算机视觉用于图像识别.
- 用口头和视觉输入测试人工智能功能.
主要成果:
- 虚拟助理在口头输入方面实现了85%的准确性.
- 虚拟助理在视觉输入方面实现了88%的准确性.
- 证明了AI能够支持垃圾分类任务的能力.
结论:
- 由人工智能驱动的虚拟助理可以简化固体废物分类.
- 这项技术为提高设施管理的可持续性提供了基础.
- 建议对废物管理的虚拟助理实施进行进一步的研究.
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