Imagine vast solar farms where drones hover overhead, scanning every panel for potential faults, while ground-based robots swiftly move to clean and repair identified issues. This vision of intelligent maintenance may be closer to reality than many realize.
At the recent Shanghai Jiao Tong University alumni gathering on February 1, Wang Haibin, chairman of Lingluo Intelligence, demonstrated how his company is turning this scenario into reality through innovations in low-altitude embodied intelligence systems. As an accomplished alumnus, Wang's presentation sparked considerable interest among attendees from various industries.
Revolutionizing Solar Maintenance
The university's annual alumni event brought together leaders across multiple sectors, serving not only as a networking platform but also as an opportunity to foster industry-academia collaboration. Lingluo Intelligence's work in low-altitude intelligent systems offers fresh perspectives for upgrading renewable energy infrastructure.
During his presentation, Wang introduced the company's flagship Lantern photovoltaic cleaning robot , a key component of their integrated "drone inspection + robotic maintenance" ecosystem. The system uses AI-powered drones to autonomously identify various faults including panel hotspots, turbine blade cracks, and transformer defects. Ground robots are then precisely deployed to perform cleaning and repairs, significantly improving power generation efficiency.
The Air-Ground Synergy Approach
This collaborative model between aerial and ground units represents a practical application of "low-altitude economy + embodied intelligence" in renewable energy settings. Wang emphasized that as China's solar industry shifts focus from construction to intelligent operations, such solutions could deliver substantial efficiency gains and economic benefits.
"We're committed to working with industry partners to develop implementation pathways that create shared value," Wang stated during the interactive session, where he detailed Lingluo's technological evolution from initial breakthroughs to product refinement.
The discussion attracted particular attention from alumni specializing in smart manufacturing and energy sectors. Participants explored challenges in renewable energy applications, scalability obstacles, and potential collaborations in technical standardization, data sharing frameworks, and cross-disciplinary partnerships.
Transforming Industry Standards
Traditional manual inspection methods for solar farms remain inefficient, costly, and often inadequate in coverage. Lingluo's air-ground coordination system enables comprehensive, high-efficiency maintenance that reduces labor costs while improving early fault detection.
The technology's adaptability extends beyond solar applications, with potential uses in wind power generation and electrical grid inspections, positioning it as a versatile solution for the broader energy sector's digital transformation.
Moving forward, Lingluo Intelligence plans to deepen its focus on renewable energy smart operations, advancing solar farms toward full automation. The company also aims to strengthen collaborations with fellow alumni ventures and industry partners to support sustainable energy development.