With the increasing need for energy efficient occupant comfort, the maintenance process becomes a key factor. Aspects including failure response time, maintenance treatment time and maintainability have a great influence on the building occupant comfort. Normally, the efficiency and effectiveness of maintenance process largely rely on the knowledge the maintenance workers have and the right notifications. However, occupants are not generally skilled in such field, and they most likely send the wrong information while failing to find the right person in charge. That will cause the longer response time. In this regards, this study intends to develop a building facility maintenance Knowledge Base (KB) more visually. Particularly, OpenGL was used to make the process of case-based reasoning directly perceived through senses. Meanwhile, using Building Information Models (BIM) simplified the process of developing a 3D Knowledge-Based System (KBS). Moreover, Microsoft Access database was set up to provide search and update functions for the KB. The efficiency and effectiveness of the proposed system was examined by this paper. However, the proposed Knowledge-Based System is limited to the complexity in facility manufacturers, protocol used and discreteness in hardware. Moreover, the operation conditions of building facilities vary in different projects. Therefore, the accuracy and volume of the KB should be further optimized. In futuristic research, more real-world buildings will be applied on to validate and improve the proposed system.Current output:Publication 1
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