Across the vast Gobi Desert of Ningxia, the blue solar panels of Majiatan Photovoltaic Power Station bask in sunlight. This facility not only generates green energy but also quietly implements a smart operational strategy of meticulous budgeting. In response to evolving industry trends, the maintenance team has shifted from relying on manpower-intensive methods to adopting cutting-edge technological tools and innovative management approaches, effectively boosting power output and reducing operational costs. The traditional manual inspection and cleaning practices are being replaced by efficient and secure intelligent solutions.
The first initiative is AI-powered drone inspections. The Majiatan project has recently deployed a drone system within the power station. Equipped with infrared thermal imaging and AI diagnostic systems, these drones enable rapid inspections at the hundred-megawatt scale, achieving efficiency dozens of times higher than manual methods. They can accurately identify defects such as thermal spots and hidden cracks in components, transforming maintenance from 'reactive repair' to 'proactive prevention'.
By implementing standardized operation and maintenance procedures and utilizing the real-time online monitoring capabilities of the centralized control center, the power station has achieved standardized and efficient maintenance operations, resulting in a significant improvement in power generation quality and efficiency.
As the power marketization process advances, how can power plants maximize revenue through electricity sales? The auxiliary trading system deployed by power plants has evolved into a "smart advisor". By synthesizing multidimensional data including weather forecasts, market prices, and policy frameworks, it provides strategic recommendations for power plant participation in electricity trading, boosting decision-making efficiency by over 60% and striving to maximize the value of every kilowatt-hour generated.