用视觉系统与数字孪生技术智能管理公共场所清洁
Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces
- 结合摄像头与数字孪生构建虚拟车站，实时监控清洁状态
- 实现垃圾、污渍、垃圾桶满溢及人员活动的自动识别
- 适合智慧城建、交通枢纽清洁管理等场景
当前公共空间对高清洁标准的需求推动了创新解决方案的发展。部署配备先进摄像头和软件的CCTV系统，不仅可实时监测清洁状况，还能自动检测污染物并优化清洁调度。数字孪生技术通过创建空间的虚拟模型，支持清洁管理策略的仿真、训练与测试，降低实际部署风险。本文以火车站为例，展示视觉监控系统与数字孪生技术在清洁管理中的应用。数字孪生基于真实3D模型，在Nvidia Omniverse Isaac Sim模拟器中构建。系统实现了垃圾检测、垃圾桶满溢检测、污渍分割以及人员检测（含清洁人员）及其行为分析。初步评估完成，识别出未来改进方向与系统优化潜力。
原文摘要 · Abstract (English)
Nowadays, the increasing demand for maintaining high cleanliness standards in public spaces results in the search for innovative solutions. The deployment of CCTV systems equipped with modern cameras and software enables not only real-time monitoring of the cleanliness status but also automatic detection of impurities and optimisation of cleaning schedules. The Digital Twin technology allows for the creation of a virtual model of the space, facilitating the simulation, training, and testing of cleanliness management strategies before implementation in the real world. In this paper, we present the utilisation of advanced vision surveillance systems and the Digital Twin technology in cleanliness management, using a railway station as an example. The Digital Twin was created based on an actual 3D model in the Nvidia Omniverse Isaac Sim simulator. A litter detector, bin occupancy level detector, stain segmentation, and a human detector (including the cleaning crew) along with their movement analysis were implemented. A preliminary assessment was conducted, and potential modifications for further enhancement and future development of the system were identified.
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