I&T Solution |
Digital Twin with AI Efficiency Optimization using Semantic Knowledge Graph, BIM, BIM-AM, iBMS
(REF: S-1585) |
Trial Project |
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Solution Feature |
- Semantic Knowledge Graph Integration: Create Semantic Knowledge Graph integrating BIM, BIM-AM, iBMS for real-time analysis.
- Natural Language Interface: Utilize cutting-edge LLM to translate Natural Language to interact and ask questions about the Knowledge Graph
- Digital Twin Visualization: Create an immersive 3D digital twin of the building's E&M assets to visualize real-time data and identify potential issues
- Energy Efficiency Recommendations: Use AI insights to provide actionable recommendations for optimizing energy efficiency
- Real-time monitoring of energy usage, asset performance, and correlations, enabling quick decision-making and problem resolution.
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Trial Application and Expected Outcome |
- Digital twin for a specific government building's chiller plant
- Integration of BIM, BIM-AM, and iBMS data into the system
- Implementation of AI algorithms to calculate energy correlations.
- Real-time monitoring of chiller plant performance.
- Demonstrated feasibility for scaling to additional government buildings.
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Additional Solution Information |
Digital Twin with AI Efficiency Optimization using Semantic Knowledge Graph, BIM, BIM-AM, iBMS Proposal by Beyond Limits (20231018).pdf
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Info on I&T Solution Provider |
Solution Provider | : | BEYOND LIMITS HONG KONG LIMITED | Address | : | Unit 336, 19W, | Contact Person | : | Hilda Li |
Position | : | Technical Sales Director | Tel | : | 93160397 | Email | : |
hli@beyond.ai | Webpage | : | beyond.ai |
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