An Intelligent Data Warehouse Approach for Handling Shape-Shifting Constructions

Abstract

A growing interest has been shown recently, concerning buildings as well as different constructions that use transformative and mobile attributes for adapting their shape, size and position in response to different environmental factors, such as humidity, temperature, wind and sunlight. Responsive architecture as it is called, can exploit climatic conditions and changes for making the most of them for the economy of energy, heating, lighting and much more. In this paper, a data warehouse has been developed for supporting and managing spatiotemporal objects such as shape-shifting constructions. Spatiotemporal data collected from these transformations are good candidates for analysis by data warehouses for decision making and business intelligence. The approach proposed in this research work is based on the integration of space and time dimensions for the management of these kinds of data. A case study is presented where a shape-shifting buildings data warehouse is developed and implemented. A number of spatiotemporal queries have been executed and their run times were compared and evaluated. The results prove the suitability of the proposed approach. © 2020, Springer Nature Switzerland AG.