Smart Building: SemanticWeb Technology Services for BIM (Location and Device Information)

Abstract

Smart Building aims to autonomously control devices and systems in given environment. These application systems are nevertheless supervised by facility management. The facility management normally is aided by heterogeneous application systems. Due to multifarious data of the systems, applications, and missing integration of data in building automation, the data is manually collected by facility management, for analysis and decision making. Therefore, such a system is required to integrate the multi-form data of various systems and applications. Hence, Semantic Web technology is proposed in this paper to integrate data and to implement front end. Therefore, Semantic Web technology not only provide base for analysis and decision making for facility management, but also facilitate developers to focus on front-end application. The aim is to structure the data, where active devices cannot only be located in a building but also identify according to its connected systems and subsystems. incorporate a wide scale of automated systems, such as security system, access control system, fire alarm system or building automation systems that controls Heating, Ventilation, Air Conditioning (HVAC) devices. Building Management System (BMS) facilitates remote monitoring and controlling of the building operations. The detailed description of CAFM and BMS software can be found in [1,2].Currently the integration of BMS data with CAFM and BIM is simplified, which is not effectively queried because the integration is missing. The integration between them is impossible, without semantic structure because BMS data is determined by network topology. The semantic structure is required for the advanced analytical features of CAFM software, which are currently not integrated with BMS data. The missing integration between CAFM, BMS and BIM does not affect small sites with less installation, as long as data collection and analysis are performed manually. However, for large sites (i.e. installation of hundreds of devices, thousands of sensors), manual data collection prevents effective gathering of required information. Despite of large sites, BMS contains large amount of accurate, up-to-date and detailed data which is valuable for building operation analysis. This data cannot be collected by any other way, other than semantic structure (i.e. designing Ontology Model).Currently the integration of BMS data with CAFM and BIM is simplified to a simple structure that cannot be effectively queried because the integration part is completely missing. The integration is impossible because BMS data structure is determined by the network topology, not by the semantic structure. The semantic structure is required because the advanced analytical features of CAFM software are currently not integrated with for BMS data. This does not affect the small installations, where data retrieval and analysis can be easily performed manually. However, for large sites (hundreds of devices, thousands of sensors), the amount of data prevents effective gathering of required...