| I&T Solution |
AI Application Solution for Swimming Pool Water Heating System
(REF: S-1924) |
| Trial Project |
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| Solution Feature |
- Continuously learn the optimal operating mode of the heating system through reinforcement learning.
- Use the Haystack dataset to train large language models.
- Apply artificial intelligence in Q&A, text generation tasks, and classification tasks.
- Monitor equipment status in real-time and issue alerts promptly when anomalies or failures occur.
- Analyze energy consumption patterns across different parts of the building and provide regular reports.
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| Trial Application and Expected Outcome |
- Predict future energy consumption needs of the heating boiler based on historical data and environmental changes.
- Optimize the operating time of the heating boiler by analyzing real-time data.
- Predict the heat loss rate of the pool water and adjust the boiler's heating power accordingly.
- Dynamically adjust the pool water temperature setpoint to balance energy consumption and user comfort.
- Offer recommendations for improving energy efficiency and help identify peak energy usage periods.
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| Additional Solution Information |
[] JEC_游泳池水加熱系統AI應用方案.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | The Jardine Engineering Corporation., Limited | | Address | : | 5/F Tower A Manulife Financial Centre 223-231 Wai Yip Street Kwun Tong Kowloon Hong Kong | | Contact Person | : | Tim Mak |
| Position | : | Head of Sales and Business Development, JEDI | | Tel | : | 28074151 | | Email | : |
tim.mak@jec.com |
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