| I&T Solution |
AI Model for Predictive Maintenance of Air Handling Units (AHUs)
(REF: S-1637) |
| Trial Project |
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| Solution Feature |
- Data Collection: Gather historical data of the AHU from the BMS, including sensor readings, operating conditions, and maintenance records.
- Data Preparation: Clean and preprocess the collected data to remove outliers, handle missing values, and normalize the data for consistent scaling.
- Feature Engineering: Extract relevant features from the data that can indicate AHU performance and potential maintenance needs.
- Model Training: Use the prepared data to train an AI model. The model should be trained to predict AHU failures or detect anomalies that could lead to malfunctions.
- Lifespan prediction and/or trend analysis of AHU component performance.
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| Trial Application and Expected Outcome |
- Implementing the system in a real-world environment to evaluate its performance and effectiveness.
- A Web-based dashboard to showcase the data analysis result, trend study and abnormalities detected.
- Improved Maintenance Planning: The AI system should provide accurate predictions and early warnings regarding potential AHU failures or maintenance needs.
- Increased Equipment Reliability: The system can detect anomalies, identify deteriorating components, and predict potential failures in AHUs.
- Cost Savings: Proactively addressing maintenance needs based on AI predictions can lead to cost savings.
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| Additional Solution Information |
AHU_AI.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Green AI Technology Limited | | Address | : | Unit B, 4/F, Yee Wah Ind. Bldg., 18 San On Street, Tuen Mun, Hong Kong | | Contact Person | : | Dennis Mak Hoi Ho |
| Position | : | CIO | | Tel | : | 96295360 | | Email | : |
dennis@greenaitech.com | | Webpage | : | www.greenaitech.com |
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