摘要:CIM数字底座建设中，主体框架是BIM+GIS，辅助IoT采集视频、传感器等数据来构建整个CIM数字底座。目前，多源异构模型的集成与兼容仍存在诸多技术难点，主要体现在模型数据融合难、模型加载效率低及渲染性能差等问题。实际项目建设过程中，三维数字底座模型部分多以三维手工建模、倾斜摄影为主，距离全场景BIM的目标尚有差距。本文从数据融合与渲染性能两大核心问题出发，针对数据融合需求，建立数据融合机制，研究CIM模型数据标准化格式（.cim），同时针对渲染调度需求，研究BIM模型轻量化技术，在支撑一套模型多引擎加载的前提下，提高模型渲染效率。

Abstract: The CIM digital base framework mainly consists of BIM, GIS, and IOT, which assists to collect video, sensor and other data. At present, there are still many technical difficulties in the integration and compatibility of multi-source heterogeneous models, which bring about difficulty in model data fusion, and lead low model loading efficiency and poor rendering performance. In the present actual projects, the 3D digital base model is mostly based on 3D manual models and oblique photography, which is still far from the goal of BIM application throughout the project lifecycle. Starting from the two core issues of data fusion and rendering performance, this paper establishes a data fusion mechanism for data fusion requirements, analyzes the standardized format of CIM model data (.cim), and explores the lightweight technology of BIM model to improve model rendering efficiency while supporting multi-engine loading of a set of models.