Online real-time monitoring method for dynamic deflection deformation of wind driven generator blade

Abstract

The invention relates to an online real-time monitoring method for dynamic deflection deformation of a wind driven generator blade. When the blade is deformed, a longitudinal strain detection strain sheet and a transverse strain detection strain sheet input signals of the blade to a differential half-bridge signal detection and conditioning module for detecting and conditioning a strain analog signal of a strain sheet of a detected point respectively, the signals are converted into digital quantity by an analog-to-digital converter, the digital quantity is coded by a microprocessor, a wireless transmitting/receiving module transmits the signals, and the wireless transmitting/receiving module receives control instructions sent by monitoring instrument equipment; the monitoring instrument equipment processes, stores and displays the detected data and transmits the detected data through an interface; and a control center performs blade deformation reconstruction according to the detected data to obtain fatigue degree of the blade so as to achieve the goal of real-time detection of the blade. The method realizes long-term monitoring of online deformation of the rotary blade, and acquires the working condition of the rotary blade at the current moment from a data terminal by wireless data transmission technology. The combination of a wind driven generator and a storage battery ensures long-term operation of a monitoring system and data transmission thereof and effectively ensures real-time acquisition of the working condition data of the rotary blade.

Description

technical field [0001] The invention relates to real-time detection, data collection and wireless transmission of dynamic deformation of rotating blades, in particular to an online real-time monitoring method for dynamic deflection of wind turbine blades. Background technique [0002] Wind turbine blades are the key components for wind turbines to receive wind energy, and their reliability directly affects the safe operation of wind turbines. The blades of megawatt-class wind turbines are more than 25m long, and the longest can reach 60m. Distribution, blade icing, topography and other meteorological and geographical environmental factors, as well as mechanical factors such as blade structure and installation. [0003] The installation environment of wind turbines is harsh, and the working conditions of the blades are special. At present, the detection of the deformation of wind turbine blades is mainly static measurement under test conditions. Due to the difference between...

AI Technical Summary

Problems solved by technology

However, the data transmission method is a wired connection, which is suitable for static detection. The installation of the sensor and its conditioning module is a large amount of work, and the test connection line is complicated; and it is difficult to realize online monitoring due to the rotation of the blades.

The second is to use the laser projection method to measure the non-contact full profile of the blade profile. Thi

Images