Large-scale wind turbine state acquisition device and fault diagnosis platform

Abstract

The embodiment of the invention provides a large-scale wind turbine state acquisition device and a fault diagnosis platform. The device comprises a main control circuit module, a power supply module, a 5G communication module, a serial port communication module, an ADC acquisition circuit module, a strain gauge bridge measurement circuit module, an operational amplification circuit module, a vibration sensor input interface, a pressure sensor input interface and a temperature sensor input interface. The power supply module is used for providing corresponding voltage for each module; part of the strain gauge bridge measurement circuit module and the vibration sensor input interface are connected with the input end of the ADC acquisition circuit module, and the pressure sensor input interface is connected with the input end of the ADC acquisition circuit module through the operational amplifier circuit module. The state information of the wind turbine is obtained and sent to the cloud platform in time through the 5G communication module, meanwhile, the wind turbine state and fault display upper computer obtains data from the cloud platform and processes and judges the data, and real-time monitoring of the state of the wind turbine is achieved.

Description

Technical Field

[0001] The present application relates to the field of wind turbine data processing, and in particular, to a large-scale wind turbine status acquisition device and a fault diagnosis platform. Background Art

[0002] Early wind turbine monitoring research systems were mostly based on traditional measurement and signal transmission methods. When the blades were rotating, it was difficult to ensure measurement accuracy and transmission rate. At the same time, due to the insufficient deployment of sensor types and quantities, only a small amount of information during operation could be obtained, and it was impossible to fully predict the operation process and stability of large-scale rotating wind turbine long blades.

[0003] Therefore, how to solve the above problems is an issue that needs to be solved urgently. Summary of the invention

[0004] The present application provides a large wind turbine status acquisition device and a fault diagnosis platform, aiming to improve the above-mentioned problems.

[0005] In a first aspect, the present application provides a large-scale wind turbine state acquisition device, which is arranged on a wind turbine blade, and is applied to a large-scale wind turbine state fault diagnosis platform, and the large-scale wind turbine state acquisition device includes:

[0006] Main control circuit module, power module, 5G communication module, serial communication module, ADC acquisition circuit module, strain gauge bridge measurement circuit module, operational amplifier circuit module, vibration sensor input interface, pressure sensor input interface and temperature sensor input interface;

[0007] The power supply module is respectively connected to the main control circuit module, the 5G communication module, the serial port communication module, the ADC acquisition circuit module, the strain gauge bridge measurement circuit module and the operational amplifier circuit module to provide corresponding voltages;

[0008] Part of the strain gauge bridge measurement circuit module and the vibration sensor input interface are connected to the input end of the ADC acquisition circuit module, the pressure sensor input interface is connected to the input end of the ADC acquisition circuit module after passing through the operational amplifier circuit module, and the temperature sensor input interface is connected to the main control circuit module after passing through the operational amplifier circuit module; part of the strain gauge bridge measurement circuit module and the serial communication module are connected to the main control circuit module;

[0009] The vibration sensor input interface is used to collect vibration data of the wind turbine blade;

[0010] The pressure sensor input interface is used to collect pressure data of the wind turbine blade;

[0011] The temperature sensor input interface is used to collect temperature data of the wind turbine blades;

[0012] The strain gauge bridge measurement circuit module is used to collect strain data of the wind turbine blade;

[0013] The 5G communication module is used to send the vibration data, the pressure data, the temperature data and the strain data processed by the main control circuit module to the large wind turbine status fault diagnosis platform.

[0014] In a possible embodiment, the main control circuit module includes an STM32 microprocessor, which is used to package the vibration data, the pressure data, the temperature data and the strain data;

[0015] Part of the strain gauge bridge measurement circuit module is connected to the ADC input pin inside the STM32 microprocessor, and the temperature sensor input interface is connected to the ADC input pin inside the STM32 microprocessor after passing through the operational amplifier circuit module.

[0016] In a possible embodiment, the 5G communication module includes a SIM card circuit module, a USB circuit module, an FM650 module and a switch circuit module;

[0017] The SIM card circuit module and the USB circuit module are connected to the FM650 module, the FM650 module obtains data of the STM32 microprocessor through the serial port, and the STM32 microprocessor controls the start and stop of the FM650 module through the switch circuit module.

[0018] In a possible embodiment, the switch circuit module includes:

[0019] A first resistor, a second resistor, a third resistor, a fourth resistor, a first transistor, a second transistor, an input terminal, an output terminal and a power supply terminal;

[0020] One end of the first resistor is connected to the STM32 microprocessor through the input end;

[0021] The other end of the first resistor is respectively connected to one end of the second resistor and the first end of the first transistor;

[0022] The second end of the first transistor is respectively connected to one end of the third resistor and the first end of the second transistor; the other end of the third resistor is connected to the power supply end, and the power supply end is connected to the power supply module;

[0023] One end of the fourth resistor is connected to the power supply end, and the other end of the fourth resistor is connected to the output end and the second end of the second transistor; the output end is connected to the FM650 module;

[0024] The other end of the second resistor, the third end of the first transistor, and the third end of the second transistor are grounded.

[0025] In a possible embodiment, the strain gauge bridge measurement circuit module includes: a strain gauge input interface, a Wheatstone bridge and an operational amplifier; the strain gauge input interface replaces a bridge arm resistor of the Wheatstone bridge, and the output end of the Wheatstone bridge is connected to the input end of the operational amplifier.

[0026] In a possible embodiment, the Wheatstone bridge includes: a fifth resistor, a sixth resistor, a seventh resistor, an eighth resistor and a ninth resistor;

[0027] One end of the fifth resistor is connected to one end of the power module and one end of the sixth resistor respectively;

[0028] The other end of the fifth resistor is respectively connected to one end of the seventh resistor, one end of the eighth resistor and the negative input end of the operational amplifier;

[0029] The other end of the eighth resistor is connected to the output end of the operational amplifier;

[0030] One end of the ninth resistor is respectively connected to the other end of the sixth resistor, one end of the strain gauge input interface and the positive input end of the operational amplifier;

[0031] The other end of the strain gauge input interface is connected to the other end of the seventh resistor and is grounded;

[0032] The other end of the ninth resistor is grounded.

[0033] In a possible embodiment, the ADC acquisition circuit module includes an AD7606 acquisition chip, which is used to collect part of the data fed back by the strain gauge bridge measurement circuit module, the data fed back by the vibration sensor input interface, and the data input by the pressure sensor input interface after amplification by the operational amplifier circuit module, and transmit it to the STM32 microprocessor through the serial port.

[0034] In a second aspect, the present application provides a large wind turbine status fault diagnosis platform, the large wind turbine status fault diagnosis platform comprising: a large wind turbine status acquisition device as described in any one of the first aspects, a cloud platform and a wind turbine status and fault display host computer;

[0035] The large wind turbine status acquisition device is used to upload the collected data to the cloud platform through the 5G communication module;

[0036] The cloud platform is used to receive data sent by the 5G communication module and is responsible for publishing and subscribing;

[0037] The wind turbine status and fault display host computer is used to subscribe data from the cloud platform, process data, calibrate data, display data, save data, and provide fault diagnosis and warning.

[0038] In a possible embodiment, the wind turbine status and fault display host computer includes: a data reading module, a data processing module, a calibration module, a data storage module, a data storage module and a fault diagnosis and warning module;

[0039] The data reading module is used to obtain JSON format data from the cloud platform;

[0040] The data processing module is used to extract attribute values ​​from the JSON format data, decompose the attribute values ​​into raw data corresponding to each sensor device, and calculate the actual measured voltage value according to the analog input voltage range and resolution of the ADC used by each device;

[0041] The calibration module is used to determine the indication error and calibrate the sampling data;

[0042] The data storage module is used to store historical data;

[0043] The data display module is used to display the calibrated data value and the waveform diagram of data change;

[0044] The fault diagnosis and early warning module is used to determine whether chatter or crack occurs according to the threshold information of each channel set, and to display the fault.

[0045] In a possible embodiment, the large wind turbine status acquisition device is specifically used for:

[0046] The vibration data, the pressure data, the temperature data and the strain data are packaged into a string, and the string is uploaded to the cloud platform in JSON format through the 5G communication module.

[0047] The above-mentioned application provides a large-scale wind turbine status acquisition device and fault diagnosis platform. The application designs the acquisition device by utilizing a main control circuit module, a power supply module, a 5G communication module, a serial communication module, an ADC acquisition circuit module, a strain gauge bridge measurement circuit module, an operational amplifier circuit module, a vibration sensor input interface, a pressure sensor input interface, and a temperature sensor input interface, and obtains the status information of the wind turbine and sends it to the cloud platform in a timely manner through the 5G communication module, so that the fault diagnosis platform can process and judge it, thereby realizing real-time monitoring of the wind turbine status. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 A schematic diagram of functional modules of a large wind turbine status acquisition device provided in the first embodiment of the present application;

[0050] Figure 2 for Figure 1 A circuit structure diagram of a large wind turbine status acquisition device is shown;

[0051] Figure 3 for Figure 1 A schematic diagram of the circuit structure of a switch circuit module in a large wind turbine status acquisition device is shown;

[0052] Figure 4 for Figure 1 A schematic diagram of the circuit structure of a strain gauge bridge measurement circuit module in a large wind turbine state acquisition device is shown;

[0053] Figure 5 for Figure 1 A schematic diagram of the circuit structure of a power module in a large wind turbine status acquisition device is shown;

[0054] Figure 6 A schematic diagram of functional modules of a large wind turbine status fault diagnosis platform provided in the second embodiment of the present application;

[0055] Figure 7 for Figure 6 A schematic diagram of the functional modules of a wind turbine status and fault display host computer in a large wind turbine status fault diagnosis platform is shown. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0057] First embodiment:

[0058] Please refer to Figure 1-Figure 5 The present embodiment provides a large wind turbine state acquisition device 10, which is arranged on a wind turbine blade. The large wind turbine state acquisition device 10 is applied to a large wind turbine state fault diagnosis platform. The large wind turbine state acquisition device 10 includes: a main control circuit module 11, a power supply module 12, a 5G communication module 13, a serial communication module 14, an ADC acquisition circuit module 15, a strain gauge bridge measurement circuit module 16, an operational amplifier circuit module 111, a vibration sensor input interface 17, a pressure sensor input interface 18 and a temperature sensor input interface 19.

[0059] The power supply module 12 is respectively connected to the main control circuit module 11, the 5G communication module 13, the serial communication module 14, the ADC acquisition circuit module 15, the strain gauge bridge measurement circuit module 16 and the operational amplifier circuit module 111 to provide corresponding voltages;

[0060] Part of the strain gauge bridge measurement circuit module 16 and the vibration sensor input interface 17 are connected to the input end of the ADC acquisition circuit module 15, the pressure sensor input interface 18 is connected to the input end of the ADC acquisition circuit module 15 through the operational amplifier circuit module 111, and the temperature sensor input interface 19 is connected to the main control circuit module 111 through the operational amplifier circuit module 111; part of the strain gauge bridge measurement circuit module 16 and the serial communication module 14 are connected to the main control circuit module 11;

[0061] The vibration sensor input interface 17 is used to collect vibration data of the wind turbine blades;

[0062] The pressure sensor input interface 18 is used to collect pressure data of the wind turbine blades;

[0063] The temperature sensor input interface 19 is used to collect temperature data of the wind turbine blades;

[0064] The strain gauge bridge measurement circuit module 16 is used to collect strain data of the wind turbine blade;

[0065] The 5G communication module 13 is used to send the vibration data, the pressure data, the temperature data and the strain data processed by the main control circuit module 11 to the large wind turbine status fault diagnosis platform.

[0066] It is understandable that the number of the strain gauge bridge measurement circuit module 16, the ADC acquisition circuit module 15 and the operational amplifier circuit module 111 can be multiple, such as Figure 2 As shown in , no specific limitation is given here.

[0067] Optionally, the main control circuit module 11 includes an STM32 microprocessor and a peripheral configuration circuit, which is used to package the vibration data, the pressure data, the temperature data and the strain data;

[0068] The partial strain gauge bridge measurement circuit module 16 is connected to the ADC input pin inside the STM32 microprocessor, and the temperature sensor input interface 19 is connected to the ADC input pin inside the STM32 microprocessor through the operational amplifier circuit module 111 .

[0069] Optionally, the 5G communication module includes a SIM card circuit module, a USB circuit module, an FM650 module and a switch circuit module; the SIM card circuit module and the USB circuit module are connected to the FM650 module, the FM650 module obtains data of the STM32 microprocessor through the serial port, and the STM32 microprocessor controls the start and stop of the FM650 module through the switch circuit module.

[0070] Optionally, the switch circuit module includes: a first resistor R1, a second resistor R2, a third resistor R3, a fourth resistor R4, a first transistor Q1, a second transistor Q2, an input terminal I NPUT, an output terminal OUTPUT and a power supply terminal (such as Figure 33.8V shown in ); one end of the first resistor R1 is connected to the STM32 microprocessor through the input terminal I NPUT; the other end of the first resistor R1 is respectively connected to one end of the second resistor R2 and the first end of the first transistor Q1; the second end of the first transistor Q1 is respectively connected to one end of the third resistor R3 and the first end of the second transistor Q2; the other end of the third resistor R3 is connected to the power supply terminal 3.8V, and the power supply terminal 3.8V is connected to the power module; one end of the fourth resistor R4 is connected to the power supply terminal 3.8V, and the other end of the fourth resistor R4 is connected to the output terminal OUTPUT and the second end of the second transistor Q2; the output terminal OUTPUT is connected to the FM650 module; the other end of the second resistor R2, the third end of the first transistor Q1, and the third end of the second transistor Q2 are grounded. By controlling the input terminal to pull up or down, the output terminal outputs a high level or a low level in phase, and the FM650 module is started and stopped by the STM32 microprocessor.

[0071] For example, the first transistor Q1 and the second transistor Q2 are S8050 NPN transistors; the resistance of the first resistor R1 is 3.3KΩ, the resistance of the second resistor R2 is 10KΩ, the resistance of the third resistor R3 is 100Ω, and the resistance of the fourth resistor R4 is 100Ω.

[0072] It should be understood that the above is only an example and not a limitation.

[0073] Optionally, the strain gauge bridge measurement circuit module 16 includes: a strain gauge input interface, a Wheatstone bridge and an operational amplifier U1; the strain gauge input interface replaces a bridge arm resistor of the Wheatstone bridge, and the output end of the Wheatstone bridge is connected to the input end of the operational amplifier.

[0074] Optionally, the strain gauge input interface is used to connect a strain gauge sensor, and the strain gauge sensor should be placed at a location where the blade is prone to deformation.

[0075] Optionally, the strain gauge sensor uses a 350Ω BF350-3AA precision resistance strain gauge.

[0076] Optionally, the Wheatstone bridge includes: a fifth resistor R5, a sixth resistor R6, a seventh resistor R7, an eighth resistor R8 and a ninth resistor R9; one end of the fifth resistor R5 is respectively connected to the power module and one end of the sixth resistor R6; the other end of the fifth resistor R5 is respectively connected to one end of the seventh resistor R7, one end of the eighth resistor R8 and the negative input end of the operational amplifier U1; the other end of the eighth resistor R8 is connected to the output end of the operational amplifier U1; one end of the ninth resistor R9 is respectively connected to the other end of the sixth resistor R6, one end of the strain gauge input interface and the positive input end of the operational amplifier U1; the other end of the strain gauge input interface is connected to the other end of the seventh resistor R7 and is grounded; the other end of the ninth resistor R9 is grounded.

[0077] For example, the resistance of the fifth resistor R5 is 350KΩ, the resistance of the sixth resistor R6 is 350KΩ, the resistance of the seventh resistor R7 is 350KΩ, the resistance of the eighth resistor R8 is 47KΩ, and the resistance of the ninth resistor R9 is 47KΩ.

[0078] Optionally, the ADC acquisition circuit module 15 includes an AD7606 acquisition chip and a peripheral configuration circuit, which is used to collect part of the data fed back by the strain gauge bridge measurement circuit module 16, the data fed back by the vibration sensor input interface 17, and the data input by the pressure sensor input interface 18 after amplification by the operational amplifier circuit module 111, and transmit them to the STM32 microprocessor through the serial port.

[0079] Optionally, the AD7606 acquisition chip has 8 channels with a sampling rate of 16 bits and 200KSPS for each channel. The OS0, OS1, and OS2 pins are all set to logic low level, and the non-oversampling mode is adopted to achieve a maximum sampling rate of 200KSPS for each channel;

[0080] Short the CONVST A pin and CONVSTB pin of the AD7606 acquisition chip together and apply a conversion start signal to achieve simultaneous sampling of all input channels;

[0081] Set the RANGE pin of the AD7606 acquisition chip to a logic low level to achieve an analog input range of ±5V for all channels;

[0082] The four groups of ADC acquisition circuit modules are respectively connected to the STM32 microprocessor through the SPI serial port, the output ends of the 24 groups of strain gauge bridge measurement circuit modules are connected to the input ends of three groups of ADC acquisition circuit modules, the four groups of vibration sensor input interfaces are connected to four input ends of the remaining group of ADC acquisition circuit modules, the four groups of pressure sensor input interfaces are connected to the input end of the operational amplifier circuit module through differential input, and the output end of the operational amplifier circuit module is connected to the remaining four input ends of the ADC acquisition circuit module.

[0083] like Figure 5 As shown, the input end of the power module 12 is a 12V power supply, which is converted into 5V and 3.8V in turn through two DC-DC power supply chips SY8105 IADC, 3.8V is converted into 3.3V through a linear voltage regulator chip RT9193-3.3, and 3.3V is converted into 1.8V through a linear voltage regulator chip RT9193-1.8, which is used to provide 5V, 3.8V, 3.3V and 1.8V power supplies for various modules of the large wind turbine status acquisition device.

[0084] Second embodiment:

[0085] like Figure 6-7 As shown, this embodiment also provides a large wind turbine state fault diagnosis platform, the large wind turbine state fault diagnosis platform comprises: the large wind turbine state acquisition device 10, the cloud platform 20 and the wind turbine state and fault display host computer 30 as described in the first embodiment;

[0086] The large wind turbine status acquisition device 10 is used to upload the collected data to the cloud platform 20 through the 5G communication module;

[0087] The cloud platform 20 is used to receive data sent by the 5G communication module and is responsible for publishing and subscribing;

[0088] The wind turbine status and fault display host computer 30 is used to subscribe data from the cloud platform, process data, calibrate data, display data, save data, and provide fault diagnosis and warning.

[0089] Optionally, the cloud platform 20 uses Tencent Cloud or Alibaba Cloud, and uses the cloud platform 20 as the MQTT server. A product is established in the Internet of Things development platform of the cloud platform 20. Two devices are created in the product, one is a large wind turbine status acquisition device 10, and the other is a wind turbine status and fault display host computer 30. Data flow rules are set, and the two devices can communicate by allowing them to subscribe to each other's Topic.

[0090] Optionally, the wind turbine status and fault display host computer 30 includes: a data reading module 310, a data processing module 320, a calibration module 330, a data storage module 350, a data storage module 340 and a fault diagnosis and warning module 360;

[0091] The data reading module 310 is used to obtain JSON format data from the cloud platform 20;

[0092] The data processing module 320 is used to extract attribute values ​​from the JSON format data, decompose the attribute values ​​into raw data corresponding to each sensor device, and calculate the actual measured voltage value according to the analog input voltage range and resolution of the ADC used by each device;

[0093] The calibration module 330 is used to determine the indication error and calibrate the sampled data;

[0094] The data storage module 350 is used to store historical data;

[0095] The data display module 340 is used to display the calibrated data value and the waveform diagram of the data change;

[0096] The fault diagnosis and early warning module 360 ​​is used to determine whether vibration or cracking occurs according to the threshold information of each channel set, and to display the fault.

[0097] In a possible embodiment, the large wind turbine status acquisition device 10 is specifically used to: package the vibration data, the pressure data, the temperature data and the strain data into a string, and upload the string to the cloud platform 20 in JSON format through the 5G communication module.

[0098] Furthermore, the present invention also provides a method for using a large-scale wind power state monitoring and fault diagnosis data acquisition platform, comprising the following steps:

[0099] a. Turn on the power of the large wind turbine status acquisition device, wait for initialization to complete, start collecting data and upload it to the cloud platform.

[0100] b. Calibration is required when using for the first time to obtain the indication error and enter the indication error into the wind turbine status and fault display host computer.

[0101] c. In the wind turbine status and fault display host computer, the threshold information of each channel is set as the basis for fault diagnosis and early warning.

[0102] d. In the wind turbine status and fault display host computer, enter the subscribed Topic ic.

[0103] e. Start the wind turbine status and fault display host computer, begin to acquire and display data, store and analyze the data, and perform fault diagnosis and early warning.

[0104] In summary, the present embodiment provides a large-scale wind turbine state acquisition device and fault diagnosis platform, wherein the large-scale wind turbine state acquisition device, the cloud platform and the wind turbine state and fault display host computer are connected through the MQTT protocol; the large-scale wind turbine state acquisition device, as an MQTT client, is used to collect the output signals of the strain, vibration, pressure and temperature sensors installed on the wind turbine blades, and upload the collected data to the cloud platform through the 5G communication module; the cloud platform is used as an MQTT server to receive the data sent by the 5G communication module, and is responsible for publishing and subscribing; the wind turbine state and fault display host computer, as another MQTT client, is used to subscribe to data, process data, calibrate data, display data, save data and fault diagnosis and early warning from the cloud platform. The invention has the advantages of high analog bandwidth and sampling rate, low power consumption, multiple triggering modes, flexible human-computer interaction, and easy to carry. The present invention uses the 5G communication module to realize high-speed transmission of large amounts of multi-channel data, and can realize real-time monitoring of the wind turbine state through the mutual cooperation of the large-scale wind turbine state acquisition device, the cloud platform and the wind turbine state and fault display host computer.

[0105] It should be noted that the above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0106] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0107] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0108] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0109] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0110] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0111] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0112] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0114] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application. It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

Claims

1. A large wind turbine status acquisition device, characterized in that: The large wind turbine state acquisition device is arranged on the wind turbine blades, and the large wind turbine state acquisition device is applied to the large wind turbine state fault diagnosis platform. The large wind turbine state acquisition device includes: Main control circuit module, power module, 5G communication module, serial communication module, ADC acquisition circuit module, strain gauge bridge measurement circuit module, operational amplifier circuit module, vibration sensor input interface, pressure sensor input interface and temperature sensor input interface; The power supply module is respectively connected to the main control circuit module, the 5G communication module, the serial port communication module, the ADC acquisition circuit module, the strain gauge bridge measurement circuit module and the operational amplifier circuit module to provide corresponding voltages; Part of the strain gauge bridge measurement circuit module and the vibration sensor input interface are connected to the input end of the ADC acquisition circuit module, the pressure sensor input interface is connected to the input end of the ADC acquisition circuit module after passing through the operational amplifier circuit module, and the temperature sensor input interface is connected to the main control circuit module after passing through the operational amplifier circuit module; part of the strain gauge bridge measurement circuit module and the serial communication module are connected to the main control circuit module; The vibration sensor input interface is used to collect vibration data of the wind turbine blade; The pressure sensor input interface is used to collect pressure data of the wind turbine blade; The temperature sensor input interface is used to collect temperature data of the wind turbine blades; The strain gauge bridge measurement circuit module is used to collect strain data of the wind turbine blade; The 5G communication module is used to send the vibration data, the pressure data, the temperature data and the strain data processed by the main control circuit module to the large wind turbine status fault diagnosis platform.

2. The large wind turbine status acquisition device according to claim 1, characterized in that: The main control circuit module includes an STM32 microprocessor, which is used to package the vibration data, the pressure data, the temperature data and the strain data; Part of the strain gauge bridge measurement circuit module is connected to the ADC input pin inside the STM32 microprocessor, and the temperature sensor input interface is connected to the ADC input pin inside the STM32 microprocessor after passing through the operational amplifier circuit module.

3. The large wind turbine status acquisition device according to claim 2, characterized in that: The 5G communication module includes a SIM card circuit module, a USB circuit module, an FM650 module and a switch circuit module; The SIM card circuit module and the USB circuit module are connected to the FM650 module, the FM650 module obtains data of the STM32 microprocessor through the serial port, and the STM32 microprocessor controls the start and stop of the FM650 module through the switch circuit module.

4. The large wind turbine status acquisition device according to claim 3, characterized in that: The switch circuit module comprises: A first resistor, a second resistor, a third resistor, a fourth resistor, a first transistor, a second transistor, an input terminal, an output terminal and a power supply terminal; One end of the first resistor is connected to the STM32 microprocessor through the input end; The other end of the first resistor is respectively connected to one end of the second resistor and the first end of the first transistor; The second end of the first transistor is respectively connected to one end of the third resistor and the first end of the second transistor; the other end of the third resistor is connected to the power supply end, and the power supply end is connected to the power supply module; One end of the fourth resistor is connected to the power supply end, and the other end of the fourth resistor is connected to the output end and the second end of the second transistor; the output end is connected to the FM650 module; The other end of the second resistor, the third end of the first transistor, and the third end of the second transistor are grounded.

5. The large wind turbine status acquisition device according to claim 4, characterized in that: The strain gauge bridge measurement circuit module includes: a strain gauge input interface, a Wheatstone bridge and an operational amplifier; the strain gauge input interface replaces a bridge arm resistor of the Wheatstone bridge, and the output end of the Wheatstone bridge is connected to the input end of the operational amplifier.

6. The large wind turbine status acquisition device according to claim 5, characterized in that: The Wheatstone bridge comprises: a fifth resistor, a sixth resistor, a seventh resistor, an eighth resistor and a ninth resistor; One end of the fifth resistor is connected to one end of the power module and one end of the sixth resistor respectively; The other end of the fifth resistor is respectively connected to one end of the seventh resistor, one end of the eighth resistor and the negative input end of the operational amplifier; The other end of the eighth resistor is connected to the output end of the operational amplifier; One end of the ninth resistor is respectively connected to the other end of the sixth resistor, one end of the strain gauge input interface and the positive input end of the operational amplifier; The other end of the strain gauge input interface is connected to the other end of the seventh resistor and is grounded; The other end of the ninth resistor is grounded.

7. The large wind turbine status acquisition device according to claim 2, characterized in that: The ADC acquisition circuit module includes an AD7606 acquisition chip, which is used to collect part of the data fed back by the strain gauge bridge measurement circuit module, the data fed back by the vibration sensor input interface, and the data input by the pressure sensor input interface after amplification by the operational amplifier circuit module, and transmit them to the STM32 microprocessor through the serial port.

8. A large wind turbine status fault diagnosis platform, characterized in that: The large wind turbine status fault diagnosis platform comprises: a large wind turbine status acquisition device as described in any one of claims 1 to 7, a cloud platform and a wind turbine status and fault display host computer; The large wind turbine status acquisition device is used to upload the collected data to the cloud platform through the 5G communication module; The cloud platform is used to receive data sent by the 5G communication module and is responsible for publishing and subscribing; The wind turbine status and fault display host computer is used to subscribe data from the cloud platform, process data, calibrate data, display data, save data, and provide fault diagnosis and warning.

9. The large wind turbine status fault diagnosis platform according to claim 8, characterized in that: The wind turbine status and fault display host computer includes: a data reading module, a data processing module, a calibration module, a data storage module, a data display module and a fault diagnosis and early warning module; The data reading module is used to obtain JSON format data from the cloud platform; The data processing module is used to extract attribute values ​​from the JSON format data, decompose the attribute values ​​into raw data corresponding to each sensor device, and calculate the actual measured voltage value according to the analog input voltage range and resolution of the ADC used by each device; The calibration module is used to determine the indication error and calibrate the sampling data; The data storage module is used to store historical data; The data display module is used to display the calibrated data value and the waveform diagram of data change; The fault diagnosis and early warning module is used to determine whether chatter or crack occurs according to the threshold information of each channel set, and to display the fault.

10. The large wind turbine status fault diagnosis platform according to claim 8, characterized in that: The large wind turbine status acquisition device is specifically used for: The vibration data, the pressure data, the temperature data and the strain data are packaged into a string, and the string is uploaded to the cloud platform in JSON format through the 5G communication module.

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