| I&T Solution |
AI Predictive Maintenance and Performance Optimization for Main Low Voltage Switchboard
(REF : S-1357)
|
| Trial Project |
|
| 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.
|
| 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.
|
| Additional Solution Information |
AI Model Development for EMSD.pdf
|
| 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/
|
|
