Wind driven generator blade detection system

Abstract

The utility model belongs to the technical field of wind power generation, and particularly discloses a wind driven generator blade detection system, which comprises a data acquisition module, a data analysis module, a data integration module and an output module which are connected in sequence, the data acquisition module is used for acquiring leaf data and transmitting the leaf data to the data analysis module; the data analysis module is used for transmitting the analysis data to the data integration module; the data integration module is used for transmitting the integrated data to the output module for outputting; the data acquisition module comprises an audio detection module and a vibration detection module, the audio detection module is used for collecting sound wave signals generated by the wind driven generator blade, and the vibration detection module is used for collecting vibration signals in the rotating process of the wind driven generator blade. According to the utility model, the blade state of the fan in the operation process can be monitored in real time, and the stable operation of the engine can be ensured while the work of the fan is not influenced.

Description

Technical Field

[0001] The utility model relates to the technical field of wind power generation, in particular to a wind turbine blade detection system. Background Art

[0002] Wind power generation is a renewable energy source that converts wind energy into electricity. Wind power primarily drives the rotation of wind turbine blades, which are then accelerated by a speed increaser, ultimately driving the generator to generate electricity. Wind turbine blades are key components in achieving wind power generation, and therefore, their inspection is crucial to ensuring efficient and safe operation.

[0003] Traditional wind turbine blade inspection methods mainly include visual inspection, infrared thermal imaging inspection, ultrasonic inspection and endoscopic robot inspection. Among them, visual inspection mainly observes the blade surface with the naked eye to see if there are obvious damage, cracks, wear, etc.; infrared thermal imaging inspection uses non-contact inspection, which can understand the internal situation of the blade without destroying it; ultrasonic inspection uses ultrasonic probes to send and receive ultrasonic signals to detect defects, cracks or foreign materials inside the blade, and can find cracks, looseness and other defects inside the blade; endoscopic robot inspection can inspect places that cannot be reached by humans, and use endoscopic robots to inspect the internal quality of the blade, the bonding quality and the fixation of the lightning protection components.

[0004] Although the above methods can realize the detection of blades, they generally have the following defects: the above detection methods basically require the fan to be stopped before accurate detection can be performed. If a problem occurs during the operation of the fan, it is difficult to detect, and there are certain safety hazards. Utility Model Content

[0005] The purpose of the utility model is to provide a wind turbine blade detection system, which can monitor the status of the blades in real time during the operation of the wind turbine, and ensure the stable operation of the engine without affecting the operation of the wind turbine.

[0006] The technical solution adopted to achieve the purpose of this utility model is:

[0007] A wind turbine blade detection system includes a data acquisition module, a data analysis module, a data integration module and an output module connected in sequence;

[0008] The data acquisition module is used to collect blade data and transmit it to the data analysis module;

[0009] The data analysis module is used to transmit the analysis data to the data integration module;

[0010] The data integration module is used to transmit the integrated data to the output module for output;

[0011] The data acquisition module includes an audio detection module and a vibration detection module. The audio detection module is used to collect the sound wave signal generated by the wind turbine blades, and the vibration detection module is used to collect the vibration signal during the rotation of the wind turbine blades.

[0012] Furthermore, the data acquisition module also includes a rotation speed acquisition module, and the rotation speed acquisition module is used to collect rotation speed data of the wind turbine impeller.

[0013] Furthermore, the audio detection module is a microphone arranged around the blades of the wind turbine.

[0014] Furthermore, the vibration detection module is a vibration sensor arranged on the wind turbine blades.

[0015] Furthermore, the data analysis module includes an impeller speed measurement and monitoring device.

[0016] Furthermore, the data analysis module includes a spectrum analyzer and a vibration analysis processor.

[0017] Furthermore, the output module includes a sound data module, a graphic output module and an alarm light.

[0018] The beneficial effect of the present invention is that the present invention adopts a combination of multiple detection methods, which can monitor the status of the fan blades in real time during operation, and can ensure the stable operation of the engine without affecting the operation of the fan. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work:

[0020] Figure 1 It is a structural diagram of the utility model system.

[0021] In the figure: 1. Data acquisition module; 2. Data analysis module; 3. Data integration module; 4. Output module;

[0022] 101. Audio detection module; 102. Vibration detection module; 103. Speed ​​acquisition module;

[0023] Vibration analysis processor 201. Spectrum analyzer; 202. Vibration analysis processor; 203. Impeller speed measurement and monitoring device;

[0024] 401. Voice data module; 402. Graphic output module; 403. Alarm light. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the following will be described clearly and completely in conjunction with the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] A wind turbine blade detection system includes a data acquisition module 1, a data analysis module 2, a data integration module 3 and an output module 4 connected in sequence;

[0027] The data acquisition module 1 is used to collect blade data and transmit it to the data analysis module 2;

[0028] The data analysis module 2 is used to transmit the analysis data to the data integration module 3;

[0029] The data integration module 3 is used to transmit the integrated data to the output module 4 for output;

[0030] The data acquisition module 1 includes an audio detection module 101 and a vibration detection module 102. The audio detection module 101 is used to collect sound wave signals generated by the wind turbine blades, and the vibration detection module 102 is used to collect vibration signals during the rotation of the wind turbine blades.

[0031] The wind turbine blade detection system of the present invention can detect the operating status of the blades during the operation of the wind turbine. Among them, the data acquisition module 1 includes an audio detection module 101 and a vibration detection module 102. The audio detection module 101 is mainly arranged around the blades of the wind turbine and does not contact the blades, such as being arranged on the wind turbine housing and / or on the wind turbine bracket. The vibration detection module 102 is installed on the blades and is connected to the data analysis module 2 via a wireless connection. The data analysis module 2 analyzes the signals of the audio detection module 101 and the vibration detection module 102 respectively and transmits them to the data integration module 3 for integration, and then outputs the integration results through the output module 4. The data integration module 3 of the present invention is a common data processor in the prior art. In the present invention, the data acquisition module 1 also includes a speed acquisition module 103, and the speed acquisition module 103 is used to collect the speed data of the wind turbine impeller.

[0032] Theoretically, the present invention can detect blade status using only the audio detection module 101. However, if audio is collected solely through the audio acquisition module, it is easily affected by ambient sound, leading to misjudgment. Furthermore, wind turbines typically have three blades. If sound is collected solely through the audio detection module 101, any abnormal sound will affect the detection results. Therefore, the present invention significantly improves detection accuracy by comprehensively detecting the blade's audio and vibration signals. To further enhance detection accuracy, the present invention also combines the audio and vibration signals with rotational speed data.

[0033] In one embodiment of the present invention, the audio detection module 101 is a microphone provided around the blades of the wind turbine. Several microphones may be provided, which are respectively provided on the wind turbine housing and on the wind turbine support.

[0034] In this embodiment, the vibration detection module 102 is a vibration sensor installed on the blade of the wind turbine generator. The vibration sensor is a common vibration sensor in the prior art, such as the vibration sensor installed on the blade in the publication number CN114687955A.

[0035] In this embodiment, the data analysis module 2 includes an impeller speed measurement and monitoring device 203, a spectrum analyzer 201, and a vibration analysis processor 202. The impeller speed measurement and monitoring device 203, spectrum analyzer 201, and vibration analysis processor 202 respectively process the speed data, audio signal, and vibration signal collected by the acquisition module. After analysis and processing, these data are transmitted to the data integration module 3 for comprehensive analysis of blade problems. The data integration module 3 then transmits the integrated data to the output module 4 for output. In this embodiment, when the blade is functioning normally, the sound data module 401 does not emit any sound. The graphic output module 402 serves as a display screen that outputs a time-domain waveform of the blade's sound and vibration, as well as speed data. The alarm light 403 is off. When a blade fault occurs, the sound data module 401 outputs an alarm sound to notify maintenance personnel so they can take timely action. The graphic output module 402 displays both the sound frequency curve and specific fault information (such as "abnormal vibration data" or "abnormal speed"), and the alarm light 403 is on or flashing. Staff can directly observe specific abnormal data on the display screen and then perform targeted repairs and maintenance. Data integration module 3 primarily performs data conversion. When normal, the data is directly transmitted to output module 4. In the event of an abnormality, the abnormal part is generated into corresponding sound, text, and alarm light 403 to trigger a signal light, etc. This utility model uses multiple detection methods to achieve more accurate detection, and the output signal allows for intuitive viewing of the test results.

[0036] In this solution, the impeller speed measurement and monitoring device 203, spectrum analyzer 201, and vibration analysis processor 202 are all common devices in the prior art. The microphone inputs the collected audio signal into spectrum analyzer 201 via its model input port. The FFT processor in spectrum analyzer 201 processes the audio signal. If a frequency is overly prominent or under-represented, this indicates a possible anomaly in the audio signal, such as noise or distortion.

[0037] Vibration analysis processor 202 primarily analyzes vibrations. The present invention utilizes existing equipment and employs a common vibration signal analysis method, such as that disclosed in patent publication number CN114687955A. This method not only detects vibration signals but also eliminates interference from blade vibration signal jumps that can interfere with blade fault diagnosis.

[0038] The wheel speed measurement and monitoring device 203 is internally equipped with a comparator. The comparator circuit includes a signal conditioning circuit, a comparator circuit, and a reference voltage unit. The input of the signal conditioning circuit is connected to the output of the speed acquisition module 103, the output of the signal conditioning circuit is connected to the first input of the comparator circuit, the second input of the comparator circuit is connected to the output of the reference voltage unit, and the output of the comparator circuit is connected to the input of the output module 4. The output voltage of the reference voltage unit corresponds to the signal threshold preset by the diagnostic unit. The reference voltage unit is preferably, but not limited to, composed of an existing voltage reference chip and a resistor divider network. This is conventional in the art and will not be described in detail here. The signal conditioning circuit is used to condition the output signal of the speed acquisition module 103 corresponding to the diagnostic unit into a voltage signal within a set range. The signal conditioning circuit is preferably, but not limited to, an existing resistor divider network or a current-to-voltage conversion circuit. The comparator circuit compares the voltage signal of the speed acquisition module 103 conditioned by the signal conditioning circuit with the voltage signal output by the reference voltage unit. When the conditioned voltage signal exceeds the output voltage of the reference voltage unit, a fault is detected and an abnormality signal is output to the output module 4 as an alarm. The comparator circuit is limited to but not limited to existing comparators such as LM293 or LM311 and their peripheral circuits, which will not be described in detail here.

[0039] In other embodiments of the present invention, the data acquisition module 1 also includes a high-definition camera, which is used to detect whether there is obvious damage, cracks and wear on the surface of the wind turbine blades; at the same time, the data analysis module 2 also includes an image analysis module, and the image or video data of the high-definition camera is transmitted to the data analysis module 2 for analysis, and then transmitted to the data integration module 3 for integration.

[0040] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the utility model in detail. It should be understood that the above is only a specific implementation method of the utility model and is not intended to limit the utility model. Any modifications, equivalent replacements and improvements made within the scope of the present utility model should be included in the scope of protection of the present utility model.

Claims

1. A wind turbine blade detection system, characterized in that: It includes a data acquisition module (1), a data analysis module (2), a data integration module (3) and an output module (4) connected in sequence; The data acquisition module (1) is used to collect blade data and transmit it to the data analysis module (2); The data analysis module (2) is used to transmit the analysis data to the data integration module (3); The data integration module (3) is used to transmit the integrated data to the output module (4) for output; The data acquisition module (1) includes an audio detection module (101) and a vibration detection module (102), wherein the audio detection module (101) is used to collect sound wave signals generated by the wind turbine blades, and the vibration detection module (102) is used to collect vibration signals during the rotation of the wind turbine blades; The vibration detection module (102) is mounted on the blade and is connected to the data analysis module (2) via a wireless connection; The audio detection module (101) is a microphone arranged around the blades of the wind turbine; The output module (4) includes a sound data module (401), a graphic output module (402) and an alarm light (403).

2. The wind turbine blade detection system according to claim 1, characterized in that: The data acquisition module (1) further comprises a rotation speed acquisition module (103), and the rotation speed acquisition module (103) is used to acquire rotation speed data of the wind turbine impeller.

3. The wind turbine blade detection system according to claim 1 or 2, characterized in that: The vibration detection module (102) is a vibration sensor arranged on the blades of the wind turbine.

4. The wind turbine blade detection system according to claim 2, characterized in that: The data analysis module (2) includes an impeller speed measurement and monitoring device (203).

5. The wind turbine blade detection system according to claim 1, 2 or 4, characterized in that: The data analysis module (2) includes a spectrum analyzer (201) and a vibration analysis processor (202).

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