The Revit-based model accurately represents various data and information related to the train control center’s host equipment. However, when embedding the entire model into a web platform, it must be converted into a polygonal mesh through extensive calculations. This process leads to prolonged loading times. To directly view a solid model, the same application software used for modeling is typically required. Unfortunately, universal model browsers and software are usually developed independently by third parties, resulting in issues like lag and instability. These problems hinder effective data sharing and communication between users and system developers, reduce productivity, and significantly limit the model’s use in operation and maintenance systems.
Given the lightweight model requirements and the practical needs of operation and maintenance systems, lightweight processing of BIM models is necessary. The approach is outlined as follows:
1. Simplify Model Properties. In Revit-built BIM models, each structural component includes document templates forming a property table—such as sketches, modeling history, tolerances, roughness, annotation text, and related information. These details are unnecessary for visualization and therefore should be simplified. Based on the specific needs of the operation and maintenance system, the attribute list for each component’s document template is modified and streamlined. To simplify, the focus is placed on correctly displaying the 3D shapes of various building parts, considering only their color and relative position while ignoring other attributes.
2. Reduce Model Resolution. To enable rapid display of accurate models, minimize loading times, and allow users to quickly rotate and inspect graphics during large-scale simulations, a low-resolution coarse simulation method can replace high-resolution, detailed simulations. This approach facilitates fast model search and browsing without sacrificing essential visual information.
3. Compress Model Data. This involves two main techniques: firstly, triangulation is used to convert a 3D parameterized model into a discrete triangular mesh, approximating the accurate 3D model. Secondly, during modeling and calculation, mathematical methods suppress and compress fine details while preserving semantic integrity and local features. This reduces the number of elements in the sketch, thereby lowering model complexity.
After lightweight processing, the model file occupies less storage, saves memory, and retains complete information to ensure data security. This results in faster loading, easier maintenance, better management, and significantly improved operation management quality and efficiency.
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