| I&T Solution |
AI Predictive Maintenance and Performance Optimization for Main Low Voltage Switchboard
(REF: S-1357) |
| Trial Project |
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| Solution Feature |
- Developing LV switchboard specific knowledge databases to support the subsequent development of AI algorithm.
- Building a comprehensive database and AI detection algorithm using historical and real-time data.
- Training and refining the AI model for fault prediction, energy optimization, and load distribution analysis.
- Implementing the AI model and initiating operation analysis and generating alerts when abnormalities are detected.
- Developing a decision support system that can provide recommendations, analyze results, trigger alarms, and generate reports.
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| Trial Application and Expected Outcome |
- A practical and accurate AI model capable of predicting potential faults and optimizing the performance of the distribution network.
- Enhanced operational stability and energy optimization in government buildings.
- Improved safety by early detection of faults and potential damage to load equipment.
- A decision support system that provides recommendations, analyzes results, triggers alarms, and generates reports.
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| Additional Solution Information |
AI Model Development for EMSD.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | UNS Management and Development Company | | Address | : | Flat B, 18/F., Two Chinachem Plaza, 68 Connaught Road Central, Hong Kong. | | Contact Person | : | Ir Dr Ken Chan |
| Position | : | Technical Director | | Tel | : | 63917673 | | Email | : |
kenchan@unshk.com | | Webpage | : | https://unsengineering.com/ |
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