Research on Big Data Compression Algorithm Based on BIM

With the wide application of BIM, the mass BIM data generated has brought severe challenges to the storage, processing, and transmission on the limited bandwidth network of the model. In order to achieve smooth browsing and query of BIM data on the shared platform, this paper built a BIM big data storage framework based on the IFC standard, analyzed the inefficiency of the Huffman compression algorithm when constructing a binary tree, and proposed a construction process based on heap sorting. The proposed new algorithm was tested through experiments, and the results show that the efficiency of Huffman compression algorithm was improved when the amount of data was relatively large. In order to realize fast query based on compressed data, the idea of ElasticSearch+Hadoop server cluster is proposed.