I&T Solution |
AI-based Aboveground Gas Pipes Health Condition Analytics System
(REF: S-0953) |
Trial Project |
|
Solution Feature |
- Data Retrieval of Unstructured Data from Service Provider
- Factor Analysis of Gas Health Prediction
- AI Model Building for Gas Health Prediction
- Preventive Maintenance Strategy based on AI Model
- Gas Pipe Health Record Management System
|
Trial Application and Expected Outcome |
- Data Retrieval of Unstructured Data from Service Provider
- Factor Analysis of Gas Health Prediction
- AI Model Building for Gas Health Prediction
- Preventive Maintenance Strategy based on AI Model
- Gas Pipe Health Record Management System
|
Additional Solution Information |
Proposal_EMSD_AGGasPipeAnalysis_v2_s.pdf
|
Info on I&T Solution Provider |
Solution Provider | : | RISKSIS TECHNOLOGY LIMITED | Address | : | Room 701, Building 10W, Hong Kong Science Park, Hong Kong | Contact Person | : | Alan |
Position | : | Executive Director | Tel | : | 60516869 | Email | : |
alan.lee@risksis.com | Webpage | : | www.risksis.com |
|