An Information Management System for Survey of Assembled Buildings Based on Data Analysis Algorithms

Assembled buildings are a major change in construction methods and are a more centralized type of building with multiple phases, disciplines and parties involved covering the whole life cycle. However, information about the design, production, construction, operation and maintenance and management of assembled buildings is more complex and large compared to traditional construction methods, and the visualization of project information is more demanding than that of traditional buildings. The aim of this paper is to investigate the design of a survey information management system for assembled buildings based on data analysis algorithms. The survey is explored at the data level and relevant techniques are introduced. A five-tier model is used to design the system architecture of ICSPB-IoT; the main functional applications of the system for each phase of assembled buildings are described, and the database optimization of the information management system for assembled building components is tested, and the results show that the system is faster to find after optimization.