Wind turbine monitoring remote application

Wind power is an environmentally friendly and clean energy source, but wind turbines are mostly installed in vents such as mountains, wilderness, beaches and islands, and they are subject to irregular changes in direction and load throughout the year, as well as the impact of strong gusts and extreme temperature differences in extreme heat and cold. As a result, many wind turbines have different forms of failure, and increase the high operation and maintenance costs.

Wind farms are usually installed on the windward coast, the shallow sea area near the shore, and the flat land or hilly area on the windward side of the inland no man's land. They are all areas with sparsely populated and harsh environments. It is inconvenient for personnel to maintain, check and repair faults. Therefore, according to the requirements of remote status monitoring and fault diagnosis of wind turbines, remote online status monitoring, analysis and diagnosis of wind power equipment status.

The generator adopts a controller. The controller provides functions such as engine parameters, engine protection, generator protection, synchronization, load control, analog protection, power management, voltage, factor control, etc., and provides a comprehensive control interface for the generator And protective measures. Sensors for wind power generation equipment include sensors such as anemometers, anemometers, thermometers and hygrometers, voltage and current meters, oil pressure level sensors, and motor tachometers. The control machine controls the various parameters of the fan, including ambient wind speed, grid voltage, generator speed, grid current, grid power, grid cumulative power generation, short-circuit brake status, hydraulic brake status, and converter status through RS232, RS485, IO Interface, using MODBUS protocol and data transmission terminal DTU to upload data to the cloud platform. The cloud platform stores, organizes, and analyzes, and visualizes early warning information such as equipment operating status, geographic location, and threshold critical points through the application terminal. When abnormal failure occurs, it sends early warning text messages and data to notify relevant maintenance personnel, realizing the full range of generator sets Maintenance management and power generation management.