In the era of the Internet of Things (IOT), the information world and the entity world are gradually integrated. Thus, the ways that people obtain, transmit, store, update and analyze information are also undergoing profound change. These changes will undoubtedly bring some new challenges to the traditional Spatial Data Warehouse (SDW) system. Based on the analysis of the technical characteristics of IOT and its potential application trends which combine IOT technology with geographic information, firstly, we proposed an architecture solution for the Spatial Data Warehouse system in IOT environments (SDWIT). Secondly, the SDWIT system was constructed which supported by the architecture solution. In this paper, the data source layer, the data processing layer, the data storage layer and the application analysis layer of the SDWIT system are designed in detail. Together, the four layers achieve the collection, transmission, storage and update for the real-time or near real-time information of perceived entities. Thus, the SDWIT system realizes data integration and data fusion for the Abstract Data Type Data (ADTD) and Entity Perception Data (EPD), and improves the ability of data analysis and data mining. At the same time, it also ensures the interchange and process between person and person, person and things, things and things, and utilizes the integration advantage to compensate for some deficiencies of the traditional SDW system. Finally, in the view of technology integration application of IOT technology fusing with GPS, Virtual Reality and Mobile GIS, a next generation innovation application mode of IOT under the support of the SDWIT system was briefly discussed.
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