Lightweight BIM big data online visualization method and system

Abstract

The invention relates to a lightweight BIM big data online visualization method and system. The method includes the following steps that lightweight analysis based on semantic guidance is conducted on a BIM scenario component set to obtain a lightweight component base; the interior structure of a BIM building is automatically partitioned to generate multiple relatively independent spaces and a relation structure chart of the relatively independent spaces; a multilayer data index structure with multi-granularity decomposition is established according to the relation structure chart and the component set in each space; the lightweight component base is called according to the multilayer data index structure to achieve progressive visualization of the BIM building, and in the visualization process, with each space as the unit, data in the next space relative to the current space is cached and data in the last space is deleted. Compared with the prior art, the method and system have the advantages of automation, lightweight, fine granularity and the like.

Description

technical field [0001] The invention relates to the field of BIM data processing, in particular to a lightweight online visualization method and system for BIM big data. Background technique [0002] With the development of intelligent buildings, BIM (Building Information Modeling) technology has become the core technology of today's AEC (Architecture, Engineering and Construction) industry, dedicated to information sharing and exchange throughout the life cycle of buildings. The efficient analysis of BIM buildings, especially the online visual analysis that supports mobile networks, has gradually been concerned and relied on by more industries related to the building life cycle. However, it is precisely because of the wide range of information involved in BIM construction, complex spatial structure, and strong professionalism that compared with traditional architectural data, BIM data has the characteristics of large volume, complexity, and difficulty in organizing and mana...

AI Technical Summary

Problems solved by technology

Moreover, from each component to its corresponding geometric data, it is organized through a tree structure of corresponding height, and the logical structure is intricate

[0005] (2) High geometric redundancy

[0006] (3) Data access speed is slow

Although the amount of BIM data is huge, it focuses more on the needs of various aspects of construction engineering, and does not consider the efficient organization or management of data for online display. The lack of a unified data index makes it impossible to quickly locate or access the required data in visualization applications.

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