Recently, the power company has been actively exploring new measures for intelligent operation and maintenance. For the first time, it has introduced intelligent cleaning robots to carry out operation and maintenance work at the distributed photovoltaic power station of Huisheng Wharf in Tianjin Port, significantly improving its operation and maintenance efficiency.
The distributed photovoltaic power station of Huisheng Wharf in Tianjin Port is located on the roof of the transshipment warehouse, covering an area of 42,000 square meters and featuring 10,920 photovoltaic panels. It is located in the operation area, where the photovoltaic panels are prone to dust accumulation, affecting the power generation efficiency. Moreover, traditional manual cleaning is not only inefficient but also poses safety risks associated with high-altitude operations, making it difficult to meet the management requirements of photovoltaic power stations. In response to the pain points, the power company has attempted to introduce intelligent cleaning robots. This robot adopts the "fully automatic unmanned cleaning + cloud management platform" mode, capable of operating according to the preset cycle and route, autonomously navigating and avoiding obstacles to achieve full coverage cleaning. It can also dynamically optimize parameters based on on-site conditions and automatically trigger a pause program when encountering abnormal weather. When the battery level drops to 30%, it will automatically return to the charging case to charge and precisely locate the breakpoint after charging, continuing to complete the cleaning task. Through the cloud platform, operation and maintenance personnel can also conduct full-process visual monitoring of the robot, and grasp the robot's operation status, cleaning progress and equipment health data in real time.
The application of intelligent robots has enabled photovoltaic power stations to achieve all-weather and automated cleaning operations, reducing operation and maintenance costs, minimizing the safety risks of traditional manual high-altitude work, and significantly enhancing the power generation efficiency of photovoltaic modules. The overall power generation has increased by approximately 10% compared to before.
In the future, the power company will continue to optimize the intelligent operation and maintenance model, and take this as a pilot to actively explore the application of intelligent technologies in the field of new energy operation and maintenance. It will promote the practical achievements to more scenarios both inside and outside the port, and contribute more practical experience to promoting the transformation of the energy structure and the intelligent upgrade of the port industry.