| I&T Solution |
Semantic AI on Predictive Maintenance of Permanent Way of Railway System
(REF: S-1041) |
| Matched I&T Wish |
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| Trial Project |
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| 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;
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| 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;
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| Additional Solution Information |
Proposal_AI_SemanticAI_Railway_s.pdf
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| 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 |
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