| I&T Solution |
AI Fault Detection & Diagnostics Platform
(REF: S-1978) |
| Trial Project |
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| Solution Feature |
- Easy Deployment: The AI platform requiring no high-end servers or replacement of the existing BMS-minimizes costs
- Remarkably Scalable: The AI integrates with BMS using open protocols. After a learning phase of a few weeks, the AI begins to identify faults, enhancing operational efficiency.
- Comprehensive Control: The AI system is adaptable for both air-side and water-side applications
- Proven Performance: With deployment in over 100 buildings across Hong Kong, our AI has demonstrated its effectiveness in real-world scenarios
- Convenient Management: The platform features a highly customizable dashboard and robust reporting capabilities
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| Trial Application and Expected Outcome |
- Early Fault Detection: The AI model continuously monitors systems and identifies faults before they escalate, reducing the risk of system failures
- Enhanced Efficiency: By analyzing data patterns, the AI can optimize system performance
- Proactive Maintenance: The model enables predictive maintenance by forecasting when equipment is likely to fail, minimizing unplanned outages.
- Data-Driven Insights: AI provides actionable insights based on historical and real-time data, helping management make informed decisions
- Reduced Labor Costs: Automating fault detection and diagnostics decreases the need for extensive manual inspections
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| Info on I&T Solution Provider |
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