A quick response leakage current inversion boost information processing device
By combining image information and environmental data in the leakage current inverter boost information processing device, and dynamically setting leakage current monitoring parameters, the problem of inaccurate leakage current risk identification in the existing technology is solved, realizing efficient photovoltaic system risk management, reducing the probability of accidents and improving power generation efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGSU TONGQIU CONSTR TECH CO LTD
- Filing Date
- 2026-03-17
- Publication Date
- 2026-06-05
AI Technical Summary
Existing leakage current inverter boost information processing devices use a static monitoring method with fixed acquisition frequency and threshold, which cannot be dynamically adjusted according to the actual operating conditions of the photovoltaic system and environmental changes. This leads to inaccurate leakage current risk identification, which may result in over-monitoring at low risk or failure to detect faults in time at high risk, thus affecting the system protection effect.
A fast-response leakage current inverter boost information processing device is adopted. Through leakage current monitoring module, area division module, photovoltaic panel information acquisition module and environmental information acquisition module, combined with convolutional neural network model, leakage current monitoring parameters, including monitoring frequency and threshold, are dynamically set. Based on the image information of photovoltaic panel and environmental data, a comprehensive risk index is calculated to achieve dynamic adjustment.
It improves the accuracy of leakage risk identification, avoids over-monitoring and resource waste, improves operation and maintenance efficiency, reduces the probability of leakage accidents, extends the service life of photovoltaic systems, and improves power generation efficiency.
Smart Images

Figure CN122159794A_ABST