Wind turbine tower health monitoring solution

The inclination sensor BWS5700 developed by Bewis Sensing is installed on the foundation surface of the wind turbine, and the measured change of the horizontal inclination angle of the lower tower or foundation surface of the wind turbine is used to

The health monitoring of the wind turbine tower is an important part to ensure the safe operation of wind turbine. The remote location of the wind turbine and the harsh environment have brought many uncertain factors to the long-term safe operation.

In 2021, the newly installed capacity of the global wind power year is expected to reach 70GW. Electric fans are developing in the direction of large-scale, complex, automated, and high-speed. However, the problem of faults in the operation of electric fans has become more and more prominent, causing huge losses in human, material and financial resources. However, most of the monitoring systems lack real-time and reliability, and cannot timely monitor the health of the wind turbine tower and diagnose faults.

The six major factors leading to the collapse of the wind turbine are: backward operation and maintenance, foundation settlement, unstable wind speed, increased tower height, harsh environment and wind turbine quality problems.

The health monitoring of the wind turbine tower uses inclination sensors to be installed on the foundation surface and the tower body. The inclination sensor BWS5700 developed by Bewis Sensing is installed on the foundation surface of the wind turbine, and the measured change of the horizontal inclination angle of the lower tower or foundation surface of the wind turbine is used to reflect and analyze the degree of change in the inclination of the wind turbine.

The dynamic inclinometer BW-VG527 is installed on the tower of the unit, and processed by the combination of gyroscope, accelerometer and Kalman filter algorithm to reduce the effect of dynamic noise and realize the real-time measurement of the wind turbine's movement attitude angle in a complex environment.

The advantages of the inclinometer in the health monitoring of the wind turbine tower: the tower base tilt measurement accuracy is up to 0.001°, it can detect the geometric linear changes of the tower in real time, has good low-frequency characteristics and transient response capabilities, and has high data stability without external influences, Small size, light weight and long life.

Wind turbine monitoring is based on advanced cloud computing and big data capabilities, which can realize full cloud upload of wind turbine operation and maintenance data, and open up real-time data links, making it possible to view, calculate and analyze wind turbine status in real time in the cloud. By establishing an intelligent early warning algorithm model for wind turbine faults and potential wind turbine faults can be realized. At the same time, this technical solution can make the wind turbine group control more intelligent, and greatly improve the overall power generation efficiency of the wind farm.