| I&T Solution |
AI tool for Automatic Fault Detection and Diagnosis (AFDD) of photovoltaic (PV) systems
(REF: S-1609) |
| Trial Project |
|
| Solution Feature |
- To install IoT sensors to obtain real time temperature and irradiance data
- To develop an artificial intelligence model from historical big data to forecast solar energy generation
- To calculate the discrepancy between the predicted value and the real time value
- To identify any defect development pattern
- To develop a cloud platform for data consolidation and analytics result presentation
|
| Trial Application and Expected Outcome |
- Onsite Technical Consultation
- Sensor Sourcing; Installation & Configuration; Network Connectivity; Testing & Commissioning
- Online Cloud Database; Realtime Dashboard
- Data Analytics Service; Predictive Analysis
- Efficiency Optimization; Control Automation
|
| Additional Solution Information |
EMS.C.202305_PV Investigator.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | RaSpect Intelligence Inspection Limited | | Address | : | Unit 308, InnoCentre, 72 Tat Chee Avenue, Kowloon Tong, Hong Kong | | Contact Person | : | Tony Ip |
| Position | : | Technical Manager | | Tel | : | 95579125 / 6743 3588 | | Email | : |
tony.ip@raspect.ai | | Webpage | : | https://www.raspect.ai/ |
|
