| I&T Solution |
Convert Knowledge Graph for E&M equipment from designated data source using AI
(REF: S-1462) |
| Trial Project |
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| Solution Feature |
- Acquire and perform data cleansing from designated data sources, namely, BIM and iBMS, schematic drawings
- Perform data cleansing, namely, to standardize the BIM tagging to differentiate data type & category and to preliminarily figure out components' correlation in the schematic drawing
- Develop semantic AI model for the air-conditioning system components so as to analyze the data relationship among several factors
- Apply brick schema format and integrate it with the developed AI engine
- Create and visualize knowledge graph in TTL file format
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| Trial Application and Expected Outcome |
- To create a generic AI model to figure out the dynamic factors' correlations across different buildings
- To develop a generic 3D viewer tool for schematic drawing in smart buildings industry so that machines' correlation in diagram can be digitized to machine readabble relationships
- To enhance building service efficiency by automating knowledge graphs among different parameters
- To drive AI development in E&M industry starting from air-conditioning system
- To achieve city level's building management by applying semantic AI approach
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| Info on I&T Solution Provider |
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