Construction of BIM Engineering Information Management Platform Based on Data Mining Technology

Abstract

Data mining technology is one of the current research hotspots in the field of database and artificial intelligence. From the massive amount of data information, practical information that is easy to understand, rich, hidden, potentially effective, and unknown can be easily extracted. It combines the theories of database management technology, pattern recognition technology, artificial intelligence, machine learning, statistics and many other disciplines to form new technical methods. This article aims to study the construction of a BIM engineering information management platform based on data mining technology. Based on the analysis of data mining methods and the characteristics of BIM, the BIM engineering information management platform is designed and implemented, and finally the platform is tested. The test results show that when the amount of data is large, the speedup ratio is positively correlated with the number of nodes in a certain proportion. As the number of nodes increases, the ratio remains almost unchanged. This shows that as the number of nodes increases, the Hadoop cluster is significantly more efficient than a stand-alone machine. It is also relatively stable.