Wind driven generator state monitoring device

Abstract

The application discloses a wind driven generator state monitoring device, comprising: a vibration sensor used for collecting a vibration signal of a generator blade and transmitting the vibration signal to a main controller; the audio microphone is used for being matched with the collector to collect an audio signal of the generator blade and transmitting the audio signal to the main controller; the main controller is used for receiving the vibration signal and the audio signal and transmitting the vibration signal and the audio signal to the intelligent terminal; the intelligent terminal is used for receiving and storing the vibration signal and the audio signal and transmitting the vibration signal and the audio signal to a preset upper computer; and the diagnosis equipment is used for acquiring the vibration signal and the audio signal from the intelligent terminal and outputting a corresponding signal state diagnosis result to the intelligent terminal. By monitoring vibration and audio signals, the monitoring effect of the abnormal state of the wind turbine generator is improved, and the state monitoring requirements of parts such as blades of the wind turbine generator under variable working conditions and complex meteorological conditions of the wind turbine generator are met.

Description

Technical Field

[0001] The utility model relates to the technical field of wind turbine blade monitoring, in particular to a wind turbine status monitoring device. Background Art

[0002] Most wind turbines, especially offshore wind turbines, work in complex and harsh environments. During the operation of the turbines, they are affected by factors such as wind speed changes, wave fluctuations, and tower shadow effects. These factors will produce periodic fatigue loads on the blades. Long-term periodic loads plus extreme weather are likely to cause blade damage and failure. Blades are wind energy capture components of wind turbines. Failures can cause wind turbines to deviate from their original design indicators, resulting in reduced wind capture efficiency and economic benefits. In severe cases, they can cause unexpected shutdowns of wind turbines during operation, reduce the reliability of wind turbines, and even cause serious accidents such as blade breakage and tower collapse. Blade status monitoring not only involves the safe operation of the unit. If the blade status and load can be considered in the control of the unit and the corresponding optimization control means are adopted, it can not only greatly avoid operating risks, but also improve the operating efficiency of large components of the unit's transmission chain and delay the life of the blades. However, most wind turbines currently lack effective means for blade status monitoring.

[0003] The current wind turbine blade status monitoring methods mainly include: manual inspection, image recognition, acoustic emission monitoring, pre-buried optical fiber sensors, and monitoring based on operating data. However, manual regular visual monitoring is troublesome, inefficient, and has great safety hazards; the image recognition processing method requires the use of drones, which are planned and determined in advance. The system is complex, difficult, and easily interfered by environmental factors; acoustic emission monitoring is suitable for detection before the blades are installed, but not suitable for detection of blades in operation; pre-buried optical fiber sensors are expensive, complex to install, and inconvenient to use, making them difficult to promote and apply; SCADA (Supervisory Control and Data Acquisition) data diagnosis methods indirectly reflect the operating status of the blades, and it is difficult to detect early blade failures in time. Therefore, the current wind turbine blade status monitoring methods all have different defects, and how to improve the effect of wind turbine blade status monitoring is a problem to be solved in this field. Utility Model Content

[0004] In view of this, the purpose of the utility model is to provide a wind turbine status monitoring device, which can improve the monitoring effect of abnormal status of wind turbines by monitoring vibration and audio signals, and meet the status monitoring needs of wind turbine blades and other components under variable working conditions and complex meteorological conditions of wind turbines. The specific scheme is as follows:

[0005] In a first aspect, the present application provides a wind turbine condition monitoring device, comprising:

[0006] A vibration sensor connected to the main controller and used to collect vibration signals of the generator blades and transmit the vibration signals to the main controller;

[0007] An audio microphone connected to the main controller and used to cooperate with the collector to collect the audio signal of the generator blade and transmit the audio signal to the main controller;

[0008] connected to the vibration sensor and the audio microphone, and used to receive the vibration signal transmitted by the vibration sensor and the audio signal transmitted by the audio microphone, and transmit the vibration signal and the audio signal to the main controller of the smart terminal;

[0009] The intelligent terminal is used to receive and store the vibration signal and the audio signal, and transmit the vibration signal and the audio signal to a preset host computer;

[0010] A diagnostic device connected to the smart terminal, used to obtain the vibration signal and the audio signal from the smart terminal, and output corresponding signal status diagnosis results to the smart terminal.

[0011] Optionally, the vibration sensor is a digital acceleration vibration sensor and has a built-in digital nine-axis semiconductor sensor chip.

[0012] Optionally, a plurality of vibration sensors are installed on each of the generator blades to collect the vibration signals of the generator blades and transmit them to the main controller.

[0013] Optionally, the main controller is a STM32WLE5CBU6 chip, which is used to communicate with the digital nine-axis semiconductor sensor chip through a preset communication interface to obtain the vibration signal.

[0014] Optionally, the wind turbine status monitoring device further includes:

[0015] A lithium battery connected to the main controller and the solar thin-film battery, used to provide power supply for the main controller;

[0016] A solar thin-film battery connected to the main controller and the lithium battery, used to provide power supply to the main controller and charge the lithium battery;

[0017] Wherein, the solar thin film battery comprises a thin film flexible solar panel installed on the blade surface of the generator blade.

[0018] Optionally, the solar thin film battery further includes:

[0019] A LM2940-5.0 voltage stabilizing chip connected to the thin-film flexible solar panel and used to stabilize the solar cell signal of the thin-film flexible solar panel at a voltage of 5V;

[0020] A Mic5255-3.3 conversion chip connected to the voltage stabilizing chip, used for converting the 5V voltage output by the voltage stabilizing chip into a 3.3V voltage to provide working voltage for the vibration sensor and the controller and to provide charging voltage for the lithium battery.

[0021] Optionally, each of the generator blades is configured with a corresponding set of the audio microphone, the collector and the intelligent terminal.

[0022] Optionally, the wind turbine status monitoring device comprises:

[0023] The audio microphone is located on the outer wall of the tower at the bottom of the wind turbine tower, and the collector and the intelligent terminal are located inside the tower at the bottom of the wind turbine tower.

[0024] Optionally, the wind turbine status monitoring device further includes:

[0025] A query terminal for querying the vibration signal and the audio signal stored in the smart terminal.

[0026] Optionally, the wind turbine status monitoring device further includes:

[0027] A data monitoring terminal is used to receive the vibration signal transmitted by the vibration sensor, the audio signal transmitted by the audio microphone and the operation data transmitted by the programmable logic controller, and store the vibration signal, the audio signal and the operation data in a corresponding preset memory.

[0028] The wind turbine status monitoring device in the present application includes: a vibration sensor connected to a main controller, used to collect vibration signals of generator blades and transmit the vibration signals to the main controller; an audio microphone connected to the main controller, used to cooperate with a collector to collect audio signals of the generator blades and transmit the audio signals to the main controller; a main controller connected to the vibration sensor and the audio microphone, used to receive the vibration signal transmitted by the vibration sensor and the audio signal transmitted by the audio microphone, and transmit the vibration signal and the audio signal to an intelligent terminal; a diagnostic device connected to the intelligent terminal, used to receive and store the vibration signal and the audio signal, and transmit the vibration signal and the audio signal to a preset host computer. It can be seen that the present application monitors the vibration signal and audio signal of the wind turbine blades respectively through the vibration sensor and the audio microphone. In this way, the blade status can be monitored in combination with the vibration signal and the audio signal, which can improve the monitoring effect of the abnormal status of the wind turbine set and meet the status monitoring needs of wind turbine blades and other components under the wind turbine set's variable working conditions and complex meteorological conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0030] Figure 1 This is a schematic structural diagram of a wind turbine status monitoring device disclosed in this application;

[0031] Figure 2 A solar panel input voltage stabilization circuit diagram disclosed in this application;

[0032] Figure 3 This is a power supply management circuit diagram of a wind turbine status monitoring device disclosed in this application. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0034] See also Figure 1 As shown, the embodiment of the utility model discloses a wind turbine state monitoring device, which is provided with a vibration sensor 1, an audio microphone 2, a main controller 3 connected to the vibration sensor 1 and the audio microphone 2, an intelligent terminal 4 connected to the main controller 3, and a diagnostic device 5 connected to the intelligent terminal 4. Among them, the vibration sensor 1 is used to collect the vibration signal of the generator blade and transmit the vibration signal to the main controller 3, and the vibration sensor 1 can form a vibration monitoring module of the generator blade with a power module composed of a solar cell 7 and a lithium battery 8 and the main controller 3, which mainly includes a semiconductor sensor, a data acquisition processing and communication unit, and a power management unit, and mainly uses a nine-axis semiconductor sensor to collect digital signals such as blade multi-axis vibration acceleration and transmits them to the main controller 3 using a communication interface. The audio microphone 2 is used to cooperate with the collector to collect the audio signal of the generator blade and transmit the audio signal to the main controller 3, and the audio microphone 2 can form an audio monitoring module of the generator blade with the collector and the intelligent terminal 4. The main controller 3 is used to receive the vibration signal transmitted by the vibration sensor 1 and the audio signal transmitted by the audio microphone 2, and transmit the vibration signal and the audio signal to the intelligent terminal 4. ADM (Add-Drop Multiplexer) microprocessor can be used to realize data acquisition, low-power management and data transmission. Correspondingly, the intelligent terminal 4 can be used to receive and store the vibration signal and the audio signal, and collect the vibration signal and the audio signal to the host computer 6 via the wind farm network. The diagnostic device 5 is used to obtain the vibration signal and the audio signal from the intelligent terminal 4, and output the corresponding signal state diagnosis result to the intelligent terminal 4, and the diagnostic device 5 is constructed with a state analysis and abnormal diagnosis module, which is responsible for reading the vibration and sound data of the collected generator blades, so as to perform feature analysis, state recognition and abnormal mode diagnosis on the blades respectively, output the diagnosis result and store it in the device memory.

[0035] In the embodiment of the utility model, the vibration sensor 1 can be a digital acceleration vibration sensor, and the sensor has a built-in digital nine-axis semiconductor sensor chip MPU9250, which can work in sleep mode and can be awakened periodically according to the situation. The minimum current during operation can be as low as 8μA, which can meet the low power consumption requirements of the generator blade status monitoring system, and can communicate directly with the control chip in the controller through its own I2C (Inter-Integrated Circuit, integrated circuit bus) and SPI interface (Serial Peripheral Interface, which is a serial peripheral interface). At the same time, QFN24 can be packaged into a volume of 2mm×2mm×1mm that is very suitable for patch installation, which is convenient and fast. It should also be pointed out that a number of vibration sensors 1 are installed on each generator blade of the wind turbine to collect the vibration signal of the generator blade and transmit it to the main controller 3. In this way, by installing a number of wireless sensors on each blade of the wind turbine as needed, since the sensor in the utility model adopts the patch process design and is powered by solar thin-film batteries, the system does not need other additional components, and only needs to be pasted and installed at the specified position of the blade. Each measurement node can automatically collect data and transmit data in a network according to the adopted rules, thereby realizing 24-hour online status monitoring of the wind turbine blades and transmitting it to the host computer 6.

[0036] In the embodiment of the utility model, the main controller 3 is used to communicate with the digital nine-axis semiconductor sensor chip through a preset communication interface to obtain the vibration signal on the blade, and the controller adopts the STM32WLE5CBU6 chip, which can realize the communication and sensor chip data acquisition and processing and abnormal judgment functions. Among them, the I2C communication interface of the main controller 3 can directly communicate with the digital nine-axis semiconductor sensor chip MPU9250 without other peripheral circuits. In this way, the two chips can meet the sensor data acquisition, signal processing, and data communication, and the operating temperature of the system main control chip is -40 to 105°C, which is very suitable for the harsh natural working environment conditions of the blade.

[0037] In the embodiment of the utility model, it also includes a lithium battery 8 connected to the main controller 3 and the solar thin film battery 7 for providing power supply to the main controller 3, and a solar thin film battery 7 connected to the main controller 3 and the lithium battery 8 for providing power supply to the main controller 3 and charging the lithium battery 8, and the above-mentioned solar thin film battery is a thin film flexible solar panel installed on the blade surface of the generator blade. In the system of the utility model, the solar cell 7 and the lithium battery 8 can together constitute the power supply system of the system, so that the lithium battery is charged and discharged and the power supply is provided to the system by using a combination of solar cells and lithium batteries in combination with a voltage conversion and voltage stabilization device. And the power supply method is easy to install because the thin film and flexible solar panel on the surface of the blade is selected, and the 2W and 9V models can be selected according to the needs. And due to the change of light intensity, the output voltage of the solar film battery will also change, but the sensor system and power supply system of the utility model must stabilize the voltage of the solar cell 7 at the working voltage of 3.3V required by STM32WLE5CBU6 and MPU9250. Therefore, the lm2940-5.0 voltage regulator chip connected to the thin-film flexible solar panel can be used to stabilize the solar cell signal of the thin-film flexible solar panel at 5V voltage, and the Mic5255-3.3 conversion chip connected to the voltage regulator chip can be used to convert the 5V voltage output by the voltage regulator chip into 3.3V voltage to provide working voltage for the vibration sensor 1 and the controller 3 and provide charging voltage for the lithium battery 8. The Mic5255-3.3 conversion chip can ensure the 3.3V working voltage conversion of the system. According to the electrical parameters of STM32WLE5CBU6 and MPU9250, the chip operating voltage range is 1.8~3.8V, 3.3V is selected as the operating voltage, and the STM32WLE5CBU6 consumes the most power when sending data, and the typical current value in TX (+13dBm) can reach tens of milliamperes. In normal working mode, the current value of MPU9250 can reach 8Ma. The system plus the power loss of other devices, the maximum limit power of the overall operation is within 0.15W. The above process of solar voltage stabilization through lm2940-5.0 voltage regulator chip can be referred to in detail. Figure 2 As shown in the solar panel input voltage stabilization circuit diagram, the solar panel input voltage passes through the anti-reverse diode D1 and enters the lm2940-5.0 voltage stabilization chip to stabilize the voltage at 5V. The above process of converting the system's 3.3V operating voltage through the Mic5255-3.3 conversion chip can be specifically referred to Figure 3 The power supply management circuit diagram shown in Figure 3As shown, the power supply management circuit includes battery voltage detection, switch circuit and voltage conversion circuit. According to the detection of battery voltage, the switch circuit controls whether to continue or stop the power supply to prevent the battery from over-discharging; when supplying power, the 5V voltage stabilized by the solar panel or the 3.7V voltage output by the battery is converted to 3.3V voltage. Specifically include:

[0038] (1) Battery voltage detection: Figure 3 The LBI pin is the battery voltage detection input terminal, and the LBO pin is the battery voltage detection output terminal. If the LBI pin voltage is lower than the CN301 downlink threshold, LBO outputs a low level; if the LBI pin voltage is higher than the CN301 uplink threshold, LBO outputs a high level.

[0039] The LBI pin adjusts the threshold voltage through the external R4 and R5 resistor divider network. The threshold voltage corresponding to the LBO changing from high level to low level is determined by the following formula. R4 is 19.1KΩ and R5 is 10KΩ, so the discharge cut-off voltage is 3.31745V.

[0040]

[0041] Where V th is the threshold voltage (V); R4 and R5 are voltage adjustment resistors (Ω);

[0042] V fth is the downward threshold (V), with a minimum value of 1.14V.

[0043] It should be pointed out that if you need to calculate the battery voltage corresponding to the LBO switching from high level to low level, just replace V th Replace with the upward threshold V rth That's it;

[0044] I lbi is the leakage current (nA) flowing into the LBI pin. The typical value is 5nA.

[0045] (2) Switching circuit: N-channel field effect transistor NMOS1 and P-channel field effect transistor PMOS2 form a switching circuit. When the battery voltage is too low, that is, LBO outputs a low level, NMOS1 is turned off, PMOS2 is turned off, and no voltage is supplied to the subsequent circuit; when the battery voltage is normal, that is, LBO outputs a high level, NMOS1 is turned on, PMOS2 is turned on, and the power supply is supplied to the subsequent circuit.

[0046] (3) Voltage conversion circuit: The IN pin of the MIC5255-3.3BM5 chip is the power input terminal, and the EN pin is the voltage conversion enable terminal. Connect the input voltage to the IN pin and the EN pin, and the conversion will be started when there is voltage. The OUT terminal outputs a 3.3V voltage to power the CC1310 and MPU9250 circuits.

[0047] The above technical solution realizes voltage stabilization and conversion functions by adopting a voltage stabilizing chip, which can meet the power supply requirements of the signal sensor and the charging voltage requirements of the lithium battery. In this way, the utility model can provide a voltage power supply that meets the requirements for the entire blade status monitoring system, and can charge the system backup battery to meet the requirements of nighttime equipment status monitoring. When there is sufficient sunlight during the day, power is provided by solar cells. While meeting the energy consumption of the system-related chips, excess energy is stored in the lithium battery. When the solar cell cannot supply voltage to the system at night, the lithium battery provides system power, thereby ensuring the stability of the generator blade status monitoring.

[0048] In the embodiment of the utility model, it can be understood that the microphone 2 and the collector are used to convert the operating sound of the unit blades into digital signals, and the intelligent terminal 4, as an edge computing unit, can collect vibration, sound signals and unit PLC (Programmable Logic Controller) status related data, and perform operation status analysis and abnormal diagnosis, and store and transmit the obtained related data to the host computer 6. Therefore, this embodiment can perform single-point monitoring of the blades based on the tower sweeping sound of each blade, that is, each generator blade is configured with a corresponding set of audio microphones 2, collectors and intelligent terminals 4, wherein the audio microphone 2 is installed on the outer wall of the tower at the bottom of the wind turbine tower, and the collector and intelligent terminal 4 are installed in the tower at the bottom of the wind turbine tower.

[0049] In the embodiment of the utility model, a query terminal 9 for querying the vibration signal and audio signal stored in the intelligent terminal 4 is also included. The query terminal 9 is used for human-computer interaction, and not only has the functions of querying the diagnosis results and operation data, but also can perform functions such as visualization of the spectrum of vibration and sound data, and can realize the centralized monitoring of the vibration and sound abnormalities of the unit blades.

[0050] In the embodiment of the utility model, it also includes a data monitoring terminal 10 for receiving the vibration signal transmitted by the vibration sensor 1, the audio signal transmitted by the audio microphone 2 and the operation data transmitted by the programmable logic controller, and storing the vibration signal, the audio signal and the operation data in the corresponding preset memory. The above-mentioned data monitoring terminal 10 is mainly used for wind turbine operation data monitoring, and is responsible for accessing the PLC operation data of the unit and monitoring the operation status of the blades. By monitoring the generator blades in real time, once the blades currently meet the preset unit vibration and sound collection conditions, the vibration and sound collection program can be triggered to collect the unit vibration, sound signals of a fixed time and the PLC operation data of the relevant measurement points of the unit blade operation at the same time, and the collected data is stored in the device memory. Through the above scheme, the utility model can realize abnormal state monitoring of the wind turbine based on vibration and audio data, and the use of vibration and audio dual modes can effectively improve the accuracy of blade state monitoring, and meet the state monitoring requirements of wind turbine blades and other components under variable working conditions and complex meteorological conditions of wind turbines.

[0051] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A wind turbine status monitoring device, characterized in that: include: A vibration sensor connected to the main controller and used to collect vibration signals of the generator blades and transmit the vibration signals to the main controller; An audio microphone connected to the main controller and used to cooperate with the collector to collect the audio signal of the generator blade and transmit the audio signal to the main controller; connected to the vibration sensor and the audio microphone, and used to receive the vibration signal transmitted by the vibration sensor and the audio signal transmitted by the audio microphone, and transmit the vibration signal and the audio signal to the main controller of the smart terminal; The intelligent terminal is used to receive and store the vibration signal and the audio signal, and transmit the vibration signal and the audio signal to a preset host computer; A diagnostic device connected to the smart terminal, used to obtain the vibration signal and the audio signal from the smart terminal, and output corresponding signal status diagnosis results to the smart terminal.

2. The wind turbine generator state monitoring device according to claim 1, characterized in that: The vibration sensor is a digital acceleration vibration sensor and has a built-in digital nine-axis semiconductor sensor chip.

3. The wind turbine generator state monitoring device according to claim 2, characterized in that: A plurality of vibration sensors are installed on each of the generator blades to collect the vibration signals of the generator blades and transmit them to the main controller.

4. The wind turbine generator state monitoring device according to claim 2, characterized in that: The main controller is an STM32WLE5CBU6 chip, which is used to communicate with the digital nine-axis semiconductor sensor chip through a preset communication interface to obtain the vibration signal.

5. The wind turbine generator state monitoring device according to claim 1, characterized in that: Also includes: A lithium battery connected to the main controller and the solar thin-film battery, used to provide power supply for the main controller; A solar thin-film battery connected to the main controller and the lithium battery, used to provide power supply to the main controller and charge the lithium battery; Wherein, the solar thin film battery comprises a thin film flexible solar panel installed on the blade surface of the generator blade.

6. The wind turbine generator state monitoring device according to claim 5, characterized in that: The solar thin film battery also includes: A LM2940-5.0 voltage stabilizing chip connected to the thin-film flexible solar panel and used to stabilize the solar cell signal of the thin-film flexible solar panel at a voltage of 5V; A Mic5255-3.3 conversion chip connected to the voltage stabilizing chip is used to convert the 5V voltage output by the voltage stabilizing chip into a 3.3V voltage to provide working voltage for the vibration sensor and the controller and to provide charging voltage for the lithium battery.

7. The wind turbine generator state monitoring device according to claim 1, characterized in that: Each of the generator blades is configured with a corresponding set of the audio microphones, the collector and the intelligent terminal.

8. The wind turbine generator state monitoring device according to claim 7, characterized in that: include: The audio microphone is located on the outer wall of the tower at the bottom of the wind turbine tower, and the collector and the intelligent terminal are located inside the tower at the bottom of the wind turbine tower.

9. The wind turbine generator state monitoring device according to claim 8, characterized in that: Also includes: A query terminal for querying the vibration signal and the audio signal stored in the smart terminal.

10. The wind turbine generator state monitoring device according to any one of claims 1 to 9, characterized in that: Also includes: A data monitoring terminal is used to receive the vibration signal transmitted by the vibration sensor, the audio signal transmitted by the audio microphone and the operating data transmitted by the programmable logic controller, and store the vibration signal, the audio signal and the operating data in a corresponding preset memory.

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