Wind turbine tower disaster early warning system

This project uses the LSM6DSOX+STEVAL-MKI109V3 mode for preliminary sensor learning and research, mainly from training the acceleration sensor to detect vibration and recording vibration waveforms, training the gyroscope sensor to detect the vibration direction and offset, and recording the waveform for analysis; combined with the acceleration sensor and the action data of the gyroscope sensor can determine the vibration intensity and direction of the wind turbine tower under various working conditions; in practical applications, the LSM6DSOX sensor is combined with the low-power chip STM32L010RBT6 chip, and the main control board on the local side leads to an alarm relay. The outlet is used for alarm output on the wind turbine tower side. It is connected to the wind turbine scada system through 485 serial port communication to upload the recorded data on the local side to provide real-time feedback on the working status of the wind turbine tower. It can be used to analyze the vibration reverse and wind turbine tower vibration. The swing direction recording can also record and analyze the natural frequency of the wind turbine tower under normal conditions and the natural frequency during faults. Various data form a wind turbine tower disaster early warning system that can be sensed in advance.

View full instructions and demo: http://bbs.eeworld.com.cn/thread-1130917-1-1.html