| I&T Solution |
AI tool for Automatic Fault Detection and Diagnosis (AFDD) of photovoltaic (PV) systems
(REF: S-1607) |
| Trial Project |
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| Solution Feature |
- The ability to predict the value of a sensor or event hours or days into the future, to enable early operator intervention
- The ability to detect anomalous sensor signals, which can be precursors to an upcoming problem
- The ability to discover operational relationships that you never knew existed. This accelerates the problem solving process.
- Based on the interests of the end user, recommend content that will assist in the problem solving process.
- Able to learn past experience with failure identified, suggest end user with best resolution in a real time to prevent old failure happen again.
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| Trial Application and Expected Outcome |
- Understanding the failure modes of the PV system.
- Develop AI model from historical big data and third-party weather data to forecast solar energy generation through real-time temperature and irradiance data.
- Real-time temperature and irradiance data.
- Data analysis and ML model creation by the data scientists, final ML model proposed to predict future point system failure events.
- Proposed ML model, software platform solution, and the sensors/networking required to deliver a full solution at scale for post-PoC phase.
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| Additional Solution Information |
PV Investigator – AI tool for Automatic Fault Detection and Diagnosis (AFDD) of photovoltaic (PV) systems Proposal by Beyond Limits.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | BEYOND LIMITS HONG KONG LIMITED | | Address | : | Unit 336, 19W, Hong Kong Science Park, Shatin, NT, Hong Kong | | Contact Person | : | Hilda Li |
| Position | : | Technical Sales Director | | Tel | : | 93160397 | | Email | : |
hli@beyond.ai | | Webpage | : | beyond.ai |
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