Digital Twin with AI Efficiency Optimization using Semantic Knowledge Graph, BIM, BIM-AM, iBMS

I&T Solution Digital Twin with AI Efficiency Optimization using Semantic Knowledge Graph, BIM, BIM-AM, iBMS
(REF: S-1585)
Trial Project
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.​
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.
Additional Solution Information Digital Twin with AI Efficiency Optimization using Semantic Knowledge Graph, BIM, BIM-AM, iBMS Proposal by Beyond Limits (20231018).pdf
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

For details of the above I&T solution, please contact the I&T solution provider.