CN204536215U - A kind of fault detection system for wind-power blade - Google Patents

Abstract

The utility model relates to a fault detection system for wind power blades, which includes an unmanned aerial vehicle, a video acquisition device and a first signal transmitting and receiving device arranged on the unmanned aerial vehicle. The unmanned aerial vehicle communicates with the first signal transmitting and receiving device. The central server performs data interaction, and the central server is equipped with a second signal transmitting and receiving device, a data acquisition device, and an image fault signal identification device connected in sequence; it also includes a wind turbine, and a third signal transmitting and receiving device connected to each other set on the wind turbine The device and the second anemometer, and the wind turbine perform data interaction with the central server through the third signal transmitting and receiving device. The superior effect of the utility model is: use the UAV to install the video acquisition device to monitor and grasp the blade status of the wind power blade under various conditions in real time, and perform targeted inspection and maintenance, reducing the workload of maintenance personnel, and at the same time It ensures the stable operation of the wind farm in the case of strong wind and improves the economic benefits.

Description

A fault detection system for wind turbine blades

technical field

The utility model relates to the technical field of wind power equipment detection, in particular to a fault detection system for wind power blades.

Background technique

Fan blades are one of the most critical components of the entire wind turbine system, and are the key to converting wind energy into rotational kinetic energy that drives the generator. The rotating diameter of large fan blades has reached 120m. Most wind power stations are built in areas with large wind volume, high altitude and harsh environment. The blades are always eroded by the medium in the air. one-third. If the abnormality of the blade is not discovered in time, fault growth will occur, that is, damage expansion; the main fault types include cracks, bulges, pitting, trachoma, wear, etc.

At present, there are mainly two methods for the detection and maintenance of the blades: one is to not do any daily maintenance, and to repair after the event. This mode of operation is widely used in domestic wind farms. Due to the lack of professional inspection and maintenance personnel, as well as the lack of equipment and means, when the blades have obvious failures, the staff can only be noticed and take corresponding maintenance and remedial measures. 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 many times within a year. Most of the accidents in wind farms occur during the period of high wind power generation. Serious accidents require the shutdown of power generation, which brings huge economic losses to wind farms. The second is regular maintenance. The wind farm signs a maintenance contract with a company specializing in maintenance. The maintenance company regularly or irregularly inspects the blades of the wind farm according to the requirements of the contract, records and reports the status of the blades, makes an evaluation, and formulates a maintenance plan. Arrange regular inspections of the wind turbines in seasons with low winds, and maintenance and repair personnel use hanging baskets or aerial maintenance platforms to carry out inspections, maintenance, and repairs. This detection method also has disadvantages: (1) The cost of regular maintenance is high and some maintenance is interventional, which will have an adverse effect on the working status of the equipment itself; (2) Although special inspections are 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, but these special inspections are mainly carried out according to climatic conditions, rather than continuous real-time monitoring based on the actual operating conditions of the wind turbines. There is still the possibility of failures occurring between equipment overhauls. At the same time, the manual inspection in the above 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.

The Chinese patent with publication number CN103969331A discloses a wind turbine blade detection device, including: an acoustic emission detection device and a data analysis device; wherein, the acoustic emission detection device includes: an acoustic emission source, an acoustic emission sensor, and a signal conditioning circuit , a digital coding circuit and a WiFi transmitter; and the data analysis device includes a WiFi receiver, an acoustic emission signal acquisition card signal acquisition and processing system and a display system; the acoustic emission source is used to emit elastic waves to the wind power generator blade to be detected The acoustic emission sensor is used to detect the mechanical vibration of the wind turbine blade to be detected caused by the elastic wave, and generate an electrical signal representing the mechanical vibration, and transmit the electrical signal to the signal conditioning circuit ; The signal conditioning circuit is used to perform digital signal processing on the electrical signal, and transmit the digital signal processed electrical signal to the digital encoding circuit; the digital encoding circuit is used to process the digital signal Encoding the electrical signal to obtain encoded data, and transmitting the encoded data to the WiFi transmitter; the WiFi transmitter is used to transmit the encoded data to the WiFi receiver of the data analysis device through a WiFi connection The WiFi receiver is used to receive the encoded data and transmit the encoded data to the acoustic emission signal acquisition card signal acquisition and processing system; the acoustic emission signal acquisition card signal acquisition and processing system is used to obtain the encoded data from the encoded data The information representing the mechanical vibration of the blade of the wind power generator to be detected caused by the elastic wave is extracted; the display system is used for displaying the information. The manufacturing cost of the wind turbine blade detection device is high, and subsequent maintenance is difficult.

Utility model content

The purpose of the utility model is to overcome the deficiencies in the prior art and provide a fault detection system for wind power blades.

The utility model is achieved through the following technical solutions:

A fault detection system for wind power blades, including an unmanned aerial vehicle, and an interconnected video acquisition device and a first signal transmitting and receiving device arranged on the unmanned aerial vehicle, the unmanned aerial vehicle passes through the first signal transmitting and receiving device Perform data interaction with the central server, the central server is provided with a second signal transmitting and receiving device, a data acquisition device, and an image fault signal identification device connected in sequence; the fault detection system also includes a wind turbine, and a wind turbine installed on the wind turbine The third signal transmitting and receiving device and the second anemometer are connected to each other, and the wind turbine performs data interaction with the central server through the third signal transmitting and receiving device.

The technical solution is preferably that the image failure signal recognition device is connected to an alarm device.

The technical solution is preferably that the video acquisition device is arranged at the rear end of the drone.

The technical solution is preferably that the video acquisition device is a video camera.

The technical solution is preferably that the UAV is provided with at least two carrying platforms, one of which is used for setting a first anemometer, and the first anemometer is connected to the first signal transmitting and receiving device.

Compared with the prior art, the superior effect of the utility model lies in that: by using a drone to install a video acquisition device, it can monitor in real time and grasp the status of the blades of wind power blades under various harsh weather conditions at any time, so as to provide targeted Inspection and maintenance can reduce the workload of maintenance personnel, and at the same time ensure the stable operation of the wind farm under strong wind conditions and improve economic benefits. Compared with the traditional wind power blade maintenance method, the fault detection system for wind power blades reduces the interference of intervening equipment on the wind turbine, and also reduces the maintenance cost, shortens the downtime and maintenance time, and prolongs the operation of the wind turbine. time.

Description of drawings

FIG. 1 is a schematic diagram of a working state of a fault detection system for wind turbine blades according to the present invention.

The accompanying drawings are marked as follows:

1-UAV, 11-Video acquisition device, 12-First signal transmitting and receiving device, 13-Carrying platform, 14-First anemometer, 2-Central server, 21-Second signal transmitting and receiving device, 22-Data Acquisition device, 23-image fault identification device, 24-alarm device, 3-wind turbine, 31-column, 32-cabin components, 321-third signal transmitting and receiving device, 322-second anemometer, 33-blade.

Detailed ways

Below in conjunction with accompanying drawing, the specific embodiment of the present utility model is described in further detail.

As shown in accompanying drawing 1, a kind of fault detection system for wind power blade described in the utility model, comprises unmanned aerial vehicle 1, and the interconnected video acquisition device 11 that is arranged on unmanned aerial vehicle 1 and first signal A transmitting and receiving device 12 , the UAV 1 performs data interaction with the central server 2 through the first signal transmitting and receiving device 12 . The central server 2 is provided with a second signal transmitting and receiving device 21, a data acquisition device 22, and an image fault signal identification device 23 connected in sequence; connected to the third signal transmitting and receiving device 321 and the second anemometer 322 , and the wind turbine 3 performs data interaction with the central server 2 through the third signal transmitting and receiving device 321 .

The image fault signal recognition device 23 is connected with an alarm device 24 . The video capture device 11 adopts a camera, and the video capture device 11 is arranged at the rear end of the drone 1 . The UAV 1 is provided with two carrying platforms 13 , one of which is provided with a first anemometer 14 , and the first anemometer 14 is connected to the first signal transmitting and receiving device 12 . The first anemometer 14 can measure the wind speed of the environment where the UAV 1 is located; the second anemometer 322 can measure the rotational speed, pitch angle, and yaw angle information of the blades 33 of the wind turbine 1 .

As shown in Figure 1, the wind turbine 3 includes a column 31 and a nacelle assembly 32 arranged at the upper end of the column 31, one side of the nacelle assembly 32 is provided with blades 33, and the upper end of the nacelle assembly 32 is provided with a third signal transmitting The receiving device 321 and the second anemometer 322 .

The utility model uses the uninterrupted video recording of the unmanned aerial vehicle 1 through the video acquisition device 11 above the wind turbine 3 to shoot the video information during the operation of the blade 33, and the video acquisition device 11 passes the video information captured by the first The signal transmitting and receiving device 12 transmits to the central server 2; after the second data transmitting and receiving device 21 of the central server 2 receives the above-mentioned video information, it is transmitted to the data acquisition device 22, and the data acquisition device 22 converts the video information into a frame One frame of picture information, the data acquisition device 22 simultaneously transmits the converted picture information to the image fault signal recognition device 23 through the optical fiber channel, and the image fault signal recognition device 23 performs grayscale processing, skeleton extraction, and edge processing on the picture. Detect and process, and judge whether there are lightning strikes, cracks and bulging faults.

In addition, the fault detection system of the utility model can carry out key photography, signal transmission and alarm on the set area, if it is detected by the image fault signal identification device 23, it is determined that the blade 33 of the wind turbine 3 has any of the above faults , through the alarm device 24 to give an alarm, so that the operator can make corresponding countermeasures, so as to decide to continue to run the wind turbine or stop it and repair and replace it.

The utility model is not limited to the above-mentioned embodiments. Without departing from the essential content of the utility model, any deformation, improvement and replacement conceivable by those skilled in the art all fall within the scope of the utility model.

Claims (5)

1. the fault detection system for wind-power blade, it is characterized in that, comprise unmanned plane, and the interconnective video acquisition device be arranged on unmanned plane and the first signal sending and receiving apparatus, described unmanned plane carries out data interaction by the first signal sending and receiving apparatus and central server, and described central server is provided with the secondary signal sending and receiving apparatus, data collector, the image failure signal identification device that connect successively; Described fault detection system also comprises Wind turbines, and the interconnective 3rd signal sending and receiving apparatus be arranged on Wind turbines and the second anemoscope, and described Wind turbines carries out data interaction by the 3rd signal sending and receiving apparatus and central server.

2. a kind of fault detection system for wind-power blade according to claim 1, is characterized in that, described image failure signal identification device is connected with warning device.

3. a kind of fault detection system for wind-power blade according to claim 1, it is characterized in that, described video acquisition device is arranged at the rear end of unmanned plane.

4. a kind of fault detection system for wind-power blade according to claim 1, it is characterized in that, described unmanned plane is at least provided with two carrying platforms, and one of them carrying platform is used for arranging the first anemoscope, and described first anemoscope is connected with the first signal sending and receiving apparatus.

5. a kind of fault detection system for wind-power blade according to claim 1 or 3, is characterized in that, described video acquisition device is video camera.