Recognition device of wind power blade surface faults

Abstract

The invention relates to the technical field of draught fan device detection, in particular to a recognition device of wind power blade surface faults. The recognition device of the wind power blade surface faults comprises a hydraulic device arranged on the upper top face of a cabin and connected with a controller. A push rod of the hydraulic device is connected with a roller arranged on a sliding rail, a supporting rod fixedly arranged on the roller is fixedly connected to the bottom of a first U-type rack, the two ends of the first U-type rack are connected with the bottom of a second U-type rack, the second U-type rack is movably connected with a rotary shaft, the rotary shaft is connected with a motor, a worktable on the rotary shaft is provided with a camera and an anemograph which are in signal transmission with the controller, and the controller comprises a data acquisition controller body and a receiving and emitting device. A draught fan blade can be continuously detected, loopholes in an existing maintenance mode are avoided, problems occurring during maintenance are reduced, manual detection difficulty is reduced, and defects in the prior art are avoided.

Description

technical field [0001] The invention relates to the technical field of wind turbine equipment detection, in particular to an identification device for surface faults of wind turbine blades. Background technique [0002] In the prior art, the fan blade is one of the most critical components of the entire wind power generator system, and is the key to converting wind energy into rotational kinetic energy for driving the generator. The rotating diameter of the large fan blades has reached 120m. Wind power generation is mostly built in areas with large wind volumes, high altitudes, and harsh environments. The blades are always eroded by the medium in the air, and the failure rate of fan blades accounts for one-third of wind turbines. For the abnormality of the blade, if it is not timely, it will cause fault growth, that is, damage expansion. The main fault types are cracks, bulges, pitting, sand holes, wear and so on. At present, there are mainly two methods for the detection...

AI Technical Summary

Problems solved by technology

This method causes many blades to be in a sick working state. As the running time increases, the accumulation of problems gradually increases. Due to the failure of the blades, the fan shuts down several times within a year.

Most of the accidents in wind farms occur during the period of high wind power generation. Serious accidents require power generation to be stopped, which has brought huge economic losses to the wind farm.

Second, regular maintenance

[0003] (1) The cost of regular maintenance is high and some maintenance is interventional, which has a certain adverse effect on the state of the equipment itself;

[0004] (2) Although special inspections have been added in actual work, such as special inspections before and after strong winds, special inspections after lightning strikes, etc., to make up for the blank period of periodic inspections, these special inspections are mainly carried out according to climatic conditions, and It is not based on the continuous real-time monitoring of the actual operation status of the fan, and the fan equipment may still fail during the equipment maintenance interval

[0005] (3) The manual inspection in the two maintenance methods generally uses a camera and a telescope to collect images. The inspection personnel are under the fan, waiting for the fan to stop, looking up to shoot and observe, and the capture is difficult and incomplete.

This utility model discloses the main control device of wind power equipment, and does not propose how to carry out safety monitoring and timely maintenance on the premise of ensuring the safe operation of wind power generation equipment when the surface of the fan blade of the wind power generation equipment fails or is affected by a dangerous event

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