Smart terminal
Wind farms are often located in remote areas with harsh environments, making it inconvenient for O&M personnel. O&M tasks are difficult, inefficient, and costly
Wind turbines are subjected to natural disasters and long-term environmental corrosion, leading to operational instability and increased maintenance difficulty and safety risks
On-site O&M work often relies on subjective judgment based on personnel experience, which can result in untimely or inaccurate diagnosis of problems
Wind turbine damage not only incurs direct maintenance costs but may also result in significant revenue loss due to downtime, affecting the power generation industry
Wind turbines often face issues such as tower shaking and uneven foundation settlement during operation. To improve maintenance efficiency and ensure stable operation of the turbine, the solution adopts the method of installing tilt sensors at the top of the tower and base, and deploying static level meters to monitor the radial shaking and tilting of the tower in real time. The system provides early warnings and tower health assessments by analyzing collected data, and detects and addresses potential safety issues in a timely manner by using the real-time 3D simulation and an early warning system.

Comprehensive coverage
Multiple sensors achieve comprehensive monitoring of tower structural stability, ensuring safe operation
Multidimensional perception
The system comprehensively and accurately monitors the equipment's operating status from various monitoring dimensions, including acoustics, electrical signals, and image recognition
24/7 online monitoring
The system provides 24/7 real-time online monitoring of equipment operating conditions, requiring no manual intervention, allowing for the immediate detection of issues
Trend warning
Supported by big data analysis, the system predicts the health trends of equipment operations, upgrading from reactive maintenance to proactive prevention
The system can monitor the wear status of the equipment in real-time by tracking key indicators such as moisture content, viscosity, and dielectric constant of lubricating oil. In addition, an intelligent fine filtration module is connected in parallel in the oil circuit circulation unit. When abnormal oil indicators are detected, the module automatically starts to filter the lubricating oil of the gearbox, removing impurities from the oil and preventing equipment failures, achieving perfect linkage between monitoring and diagnosis, greatly avoiding unplanned downtime and extending the equipment's lifespan.
In response to the management model of new energy facilities characterized by "remote centralized control, unmanned operation, and minimal staffing," a two-level operations and maintenance control system is established for the centralized control center and new energy sites. This system is designed to address business needs such as centralized control operations, on-site tasks, intelligent inspections, intelligent auxiliary controls, and intelligent supervision. It enables efficient, centralized management of multiple new energy sites and facilitates intelligent operations and maintenance, ensuring operational safety, enhancing efficiency, and supporting the realization of the "remote centralized control and intelligent operations" model for new energy.