Semantic AI on Predictive Maintenance of Permanent Way of Railway System

I&T Solution Semantic AI on Predictive Maintenance of Permanent Way of Railway System
(REF: S-1041)
Matched I&T Wish
Trial Project
Solution Feature
  • AI model is developed to identify relationships within the PWay data and provide predictive results;
  • A clustered database including columnized database and graph-based database;
  • A knowledge graph and user interface to display the analytic results
  • Integrated database clusters in the PWay data to perform data analytic and predictive functions.
  • We shall perform data analysis of the PWay data provided by EMSD, to generate insights for predictive maintenance;
Trial Application and Expected Outcome
  • AI model is developed to identify relationships within the PWay data and provide predictive results;
  • A clustered database including columnized database and graph-based database;
  • A knowledge graph and user interface to display the analytic results
  • Integrated database clusters in the PWay data to perform data analytic and predictive functions.
  • We shall perform data analysis of the PWay data provided by EMSD, to generate insights for predictive maintenance;
Additional Solution Information Proposal_AI_SemanticAI_Railway_s.pdf
Info on I&T Solution Provider
Solution Provider:RISKSIS TECHNOLOGY LIMITED
Address:Room 701, Building 10W, Hong Kong Science Park
Contact Person:Alan Lee
Position:Director
Tel:60516859
Email: alan.lee@risksis.com
Webpage: www.risksis.com

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