Photovoltaic inspection path multi-objective optimization method and system based on power generation attenuation model
By constructing a power generation attenuation model and optimizing the photovoltaic inspection path, the problem of local optima in complex dust distribution of traditional algorithms was solved, realizing multi-robot collaborative operation and hot spot risk avoidance, thereby improving the power generation efficiency and safety of photovoltaic modules.
Patent Information
- Application Number
- CN202610515357.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-18
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional photovoltaic inspection path planning algorithms are difficult to adapt to complex and differentiated dust distribution, leading to local optima, ineffective coordination of multi-robot operations, and failure to effectively avoid hot spot risks, increasing photovoltaic module losses and safety hazards.
Based on the power generation attenuation model, the distribution of ash accumulation and electrical performance parameters are obtained through air-ground collaborative sensing. A component-level power generation attenuation coefficient matrix and hot spot risk distribution map are constructed to optimize the cleaning path. Multi-objective optimization is performed in combination with the operating constraints of the cleaning robot to generate the target cleaning path. The corrected path instruction is generated through power generation recovery verification.
It improves the adaptability of path planning to complex ash distribution, enhances the ability to avoid hot spot risks, improves the synergistic efficiency of multiple operational objectives, and optimizes the power generation recovery effect of photovoltaic modules.
Smart Images
Figure CN122414512A_ABST