Intelligent monitoring system and method for offshore wind turbine blade faults

Abstract

The invention provides an intelligent monitoring system for offshore wind turbine blade faults. The system comprises a monitoring terminal and a controller; the monitoring terminal comprises a current monitoring device, a wind power monitoring device, a start and stop monitoring device, a blade vibration monitoring device and a blade video monitoring device; the blade vibration monitoring device is connected with the current monitoring device and the wind power monitoring device separately; the blade video monitoring device is connected with the start and stop monitoring device; the blade vibration monitoring device and the blade video monitoring device are connected with the controller separately. Due to the fact that the blade vibration monitoring device is connected with the current monitoring device and the wind power monitoring device separately, blade vibration data of a wind turbine can be collected according to a first trigger signal or a second trigger signal, therefore, the blade vibration monitoring device does not need to collect the blade vibration data of the wind turbine in real time, and the running maintenance cost of the intelligent monitoring system for the offshore wind turbine blade faults can be reduced. The invention further provides an intelligent monitoring method for the offshore wind turbine blade faults, and the running maintenance cost can be reduced through the method.

Description

technical field [0001] The invention relates to the technical field of fault monitoring, in particular to an intelligent fault monitoring system and method for blade faults of offshore wind power generators. Background technique [0002] Offshore wind power generation has the advantages of abundant wind energy resources, high and stable wind speed, no land occupation, suitable for large-scale development, etc., and has great development potential. Therefore, the current development trend of wind power generation is the application of offshore wind power generation. Because offshore wind farms have the characteristics of long distance from the shore, harsh weather conditions such as wind and lightning, and complex waves and tides, the failure rate of operating equipment is high, especially the wind turbine blades, which are the main force-bearing components, are very vulnerable to extreme weather. , while the daily inspection and maintenance of offshore wind turbines is very ...

AI Technical Summary

Problems solved by technology

Because offshore wind farms have the characteristics of long distance from the shore, harsh weather conditions such as wind and lightning, and complex waves and tides, the failure rate of operating equipment is high, especially the wind turbine blades, which are the main force-bearing components, are very vulnerable to extreme weather. , while the daily inspection and maintenance of offshore wind turbines is very inconvenient. If an accident occurs due to improper inspection and maintenance, it will bring serious economic losses

[0003] Since the fan blades of wind turbines are generally only prone to failure under severe weather conditions such as strong winds and lightning, most of the time the fan blades are in normal operation, and the existing monitoring systems are real-time monitoring, so most of the time monitoring is It is not practical, and will accelerate the aging of monitoring sensors and waste the electric energy required for signal transmission, thereby increasing the operation and maintenance costs of wind turbines

Images