The invention discloses a traffic scene monitoring method and system based on a digital twin factory, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting the basic information of a target region according to a data collection sub-module, and obtaining a region information set; modeling the regional information set according to the digital twin sub-module to obtain a regional digital model; performing real-time traffic scene monitoring on the target area according to the area monitoring sub-module, and generating area monitoring data; performing preprocessing based on the regional monitoring data to generate regional standard monitoring data; and based on the digital twin sub-module and the regional digital model, carrying out visual display on the regional standard monitoring data, and generating a regional traffic scene digital model. The technical problems that in the prior art, data integration and sharing are insufficient, the data analysis capacity is limited, and accurate and comprehensive traffic information is difficult to provide are solved, and the technical effects that data integration and sharing are sufficient, the data analysis capacity is high, and accurate and comprehensive traffic information can be provided are achieved.
本发明公开了基于数字孪生工厂的交通场景监测方法及系统,涉及人工智能技术领域,包括:根据数据采集子模块采集目标区域的基础信息,获得区域信息集;根据数字孪生子模块对区域信息集进行建模,得到区域数字模型;根据区域监测子模块对目标区域进行实时交通场景监测,生成区域监测数据;基于区域监测数据进行预处理,生成区域标准监测数据;基于数字孪生子模块,区域数字模型对区域标准监测数据进行可视化展示,生成区域交通场景数字模型。本发明解决了现有技术中数据整合和共享不足、数据分析能力有限,难以提供准确和全面的交通信息的技术问题,达到了数据整合和共享充分、数据分析能力强,可以提供准确和全面的交通信息的技术效果。
Traffic scene monitoring method and system based on digital twin factory
基于数字孪生工厂的交通场景监测方法及系统
2024-04-12
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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