| I&T Solution |
AI tool for Automatic Fault Detection and Diagnosis (AFDD) of photovoltaic (PV) systems
(REF: S-1610) |
| Trial Project |
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| Solution Feature |
- Trained AI Model: An AI model will be trained with historical big data and third-party weather data.
- Energy Generation Forecast: The system can analyze and collect real-time temperature and irradiance data to predict the theoretical solar energy generation.
- Automatic Data Analysis: The system will analyze different parameters allowing for prompt maintenance actions.
- Maintenance Suggestion: The AI model will suggest preventive maintenance action according to analysis results.
- Backend system: A backend system will be developed for data management and visualization
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| Trial Application and Expected Outcome |
- Al Model Accuracy: The AI should forecast the solar energy generation with small tolerance.
- Early Detection of System Abnormalities: The AI can achieve early detection of faults or abnormalities in PV systems, minimizing system downtime and preventing further damage.
- Comparative Analysis with Manual Inspections: The system can be compared with traditional manual inspections to assess its effectiveness in detecting system abnormalities.
- Backend System Functions: The backend platform can provide real-time data for easy management and status of PV systems.
- On-site evaluation and Fine-tuning: The on-site evaluation can facilitate continuous improvement of the AI model, ensuring its accuracy and reliability in fault detection and diagnosis over time.
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| Info on I&T Solution Provider |
| Solution Provider | : | Green AI Technology Limited | | Address | : | FLAT/RM B, 4/F, Yee Wah Industrial Building, 18 SAN ON STREET, TUEN MUN | | Contact Person | : | Cola Lam |
| Position | : | Co-founder and CEO | | Tel | : | 62135937 | | Email | : |
colalam@greenaitech.com | | Webpage | : | www.greenaitech.com |
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