Image Captured and Module Defects Recognized by AI
With AeroOwl and InsightMind, image data collected from sites pushes through deep learning algorithms to autoidentify defects (eg.hotspot,microcrack,obstructions)
Tri-Spectral Image Defects Marking and Module Rati
Based on the visible, infrared and nearinfrared image comparison and health rating system. Modules are graded into different class
Module Life Expectancy and Asset Valuation
Based on the distribution of defective modules within each string and the extent to which the defects affect power generation, an optimization plan and the implementation of the optimization project are made after a comprehensive analysis
Comparison of power generation after optimization
After optimizing the implementation of the project, monitor the actual power generation situation for at least 3 months. According to statistics, compare the power generation gain effect under the same irradiation conditions