Design and application of real estate market monitoring platform based on spatio-temporal big data

Design and application of real estate market monitoring platform based on spatio-temporal big data

연구 분야: Databases

학회: 2021 International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR)

When the traditional visualization application platform visually analyzes large-scale real estate spatio-temporal data, there are problems such as slow loading and poor functional scalability. In order to solve these problems, this paper proposes a design scheme of a visual analysis platform for real estate market monitoring. First, carry out conceptual analysis and feature induction of spatio-temporal big data to realize the collection processing and organizational structure analysis of real estate spatio-temporal big data. Then a four-tier platform architecture consisting of data sources layer, data resource management layer, interface service engine layer and visual application layer is designed. The visualization platform designed by this scheme has good scalability, and can provide technical guidance for the construction of a visualization analysis platform in the field of industry spatio-temporal big data. Finally, a visual application design is carried out based on the real estate market data of Hubei Province, which proves the validity and feasibility of the research scheme in this paper.