AI Predictive Maintenance and Performance Optimization for Main Low Voltage Switchboard

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/

For details of the above I&T solution, please contact the I&T solution provider.