Smart Solar Guardian: Intelligent PV Inspection and Maintenance System
The photovoltaic (PV) industry faces costly and inefficient manual inspections, leading to suboptimal performance. The "Smart Solar Guardian" system uses AI and drones with thermal, visual, and multispectral sensors for automated, comprehensive inspections. AI algorithms analyze data to detect defects, while robotic cleaners maintain panel cleanliness. This solution enhances efficiency, reduces costs, and improves PV system reliability and lifespan through advanced AI and automation.
Artificial Intelligence And Digital Services
Artificial intelligence
Implementing the "Smart Solar Guardian" system takes about 3 months. This includes: Initial Assessment and Planning (2 weeks): Site assessment and deployment strategy. Procurement and Setup (4 weeks): Acquiring equipment, setup, and configuration. Integration and Customization (4 weeks): Integrating components, customizing AI, and ensuring seamless operation. Testing and Training (2 weeks): System testing, calibration, and team training.
China, Japan, etc.
The "Smart Solar Guardian" system surpasses traditional methods by integrating drones, AI, and robotic automation for precise PV maintenance. Drones with thermal, visual, and multispectral sensors cover large areas autonomously, including hard-to-reach spots. AI-driven data analysis detects defects in real-time and enables predictive maintenance, reducing downtime and repair costs. Robotic cleaners maintain panel cleanliness, boosting energy output and extending lifespan. This ensures superior efficiency, cost-effectiveness, and reliability, making our solution a leader in PV maintenance.
(1)SUN Y., Best Excellence Award, 2024 Overseas Talent Innovation Competition (Japan Division) (2)CHEN Q., A method for extracting high-rise building footprint vectors from orthophotos based on deep learning, invention patent. (3) ZHANG H., 2023 Energy Globe Award (National); 2022 Innovative Applications in Analytics Award; 2022 John Tiratsoo Award for Young Achievement in the pipeline industry
(1) Research on Intelligent Photogrammetry and Renewable Energy Remote Sensing (2) Multi-view Remote Sensing Feature Learning and Distributed PV Development Potential Assessment (3) Development of 'Small World AI' System (4) Integration of 'Small World AI' with Leading 5G Technology in Collaboration with Huawei
