| With the continuous emergence of new technologies such as cloud computing,IoT,and 5G,human demand for smart space is getting higher and higher [1].The expression of smart space requires static data and dynamic data of building physical objects.Building Information Modeling(BIM)data can be used as the main source and description basis of static data.A large number of Internet of Things(IoT)sensors real-time data is the main source of dynamic data,so the fusion of the two part data completes the digital description and expression of smart space.The BIM data contains the spatial,geometric,attribute,and relationship data of components.IoT delivers a large amount of real-time sensor state data.The surrounding environment with the monitoring device as the origin and the sensing distance as the radius forms a smallest spatial unit.The integrated application of BIM to the monitoring device is a scene expression of smart space.Therefore,how to quickly integrate the two aspects of data and achieve friendly interaction is a problem to be solved.To solve the above problems,the following work has been done in this thesis:This thesis first study the method of parsing and extracting the data in the BIM model,then study the method of parsing and reading the dynamic data collected by the IoT,and then study the two technical methods to quickly establish a mapping relationship between the data to achieve model data and correspondence device status data for integrated interaction.In order to realize the collection,storage,and invocation of IoT data,this thesis proposes an overall framework for data collection based on IoT devices.The self-developed data collection client PL202 and the built data collection model are used to implement data collection,analysis,and storage.Finally,taking the business production requirements of the cold station group control and the management of the piping system of the pump room of the water purification plant as the case scenario,the facility management platform was developed to complete the real-time interaction of static and dynamic data.The research results of this thesis have certain practical application value. |