基于多源数据融合的数字工厂三维模型重建与可视化

3D model reconstruction and visualization of digital factory based on multi-source data fusion

如何为企业安全生产、应急救援指挥、事故灾害调查等提供现势、详尽、精确的空间基础地理信息数据以辅助智能决策,是政府与企业面临的重要难题。本文从虚拟构建数字工厂关键技术出发,通过融合机载倾斜摄影测量技术宏观建模与局部地面三维激光扫描技术精细建模,构建厂区模型;以前端Cesium框架和Web GL技术为依托,结合微软开发的Web预览版Bing地图服务,实现用户浏览器端的“数字工厂”三维场景可视化浏览,提升企业安全生产信息化水平与防范并遏制重大安全事故。

Providing current,detailed,and accurate spatial and geographic information data is crucial for assisting intelligent decision-making in areas such as enterprise safety production,emergency response command,and accident investigation.This article focuses on the key technology of virtual construction of digital factories,and uses a combination of macroscopic modeling with airborne oblique photogrammetry and fine modeling with local ground-based 3D laser scanning technology to construct a model of the factory area.With the support of the front-end Cesium framework and Web GL technology,combined with Microsoft s Web preview version of Bing maps service,users can visualize the“digital factory”3D scene in their web browser,thereby enhancing the informationization level of enterprise safety production and preventing and controling major safety accidents.