Zhongyun Technology promotes intelligent operation and maintenance upgrades for hydropower equipment, achieving internationally leading results.

For a long time, the operation and maintenance inspection of hydropower stations has mainly relied on manual timed checks and on-site monitoring, which is inefficient. Daily inspection and maintenance operations require a large amount of manpower and material resources, resulting in high maintenance costs.

Due to factors such as the wide distribution of substations and difficulties in wiring and communication, data cannot be fully uploaded, making real-time monitoring difficult. This means that maintenance personnel cannot understand the actual operating status of the equipment in a timely manner, increasing the possibility of failures.

Monitoring subsystems from different manufacturers are difficult to interconnect, leading to high maintenance difficulty. Independent systems make information difficult to share, forming information silos, and lacking long-term trend analysis of equipment health, failing to meet the operational needs of safe, low-consumption, efficient, and energy-saving power stations.

Therefore, Zhongyun Technology has tailored an intelligent operation and maintenance solution for Wuling Power. This solution uses advanced technologies such as big data, cloud computing, and artificial intelligence to perform real-time monitoring and intelligent analysis of the operating status of hydropower equipment.

Application Scenarios

Intelligent Diagnosis, Safe Production

By collecting equipment operating data in real time, the system can automatically identify equipment failures and provide early warnings, providing maintenance personnel with timely and accurate fault information. Combining pump unit design data, historical monitoring data, and real-time monitoring data, based on artificial intelligence data analysis mining and production equipment fault diagnosis mechanisms, to achieve equipment feature extraction and establish a diagnostic model, thereby building a mechanical and electrical equipment anomaly warning and health management system. Based on real-time operation monitoring, abnormal status judgment and warning are achieved, and key component life prediction is realized.

Data-Driven, Decision Support

Through the equipment asset digital management model, an equipment database is built, and data such as hydropower stations, hydropower generating units, turbines, thrust bearings, equipment components, measuring points, and operating status are managed as resources, establishing a digital twin model of the hydropower station. At the same time, data is organized and cleaned to ensure data quality. Statistical analysis, machine learning, and data mining technologies are used to analyze equipment data, providing strong support for equipment management decisions.

Today, the intelligent operation and maintenance system has been successfully applied to multiple hydropower projects of Wuling Power. This system not only significantly improves the efficiency and accuracy of equipment operation and maintenance but also ensures safe production and cost reduction and efficiency increase of the equipment.

At the 2024 China Hydropower Engineering Society Academic Annual Conference and Hydropower Development Conference, Wuling Power's intelligent operation and maintenance system for hydropower equipment received widespread recognition and high praise from the industry!

Zhongyun Technology, with its profound strength in the field of intelligent operation and maintenance, has successfully helped Wuling Power achieve intelligent operation and maintenance upgrades of hydropower equipment, and its achievements have reached the international leading level!