Fan integrated online monitoring device and method based on edge calculation

Abstract

The invention relates to the technical field of fan state monitoring, in particular to a fan integrated online monitoring device and method based on edge computing, and the device comprises a sensor data obtaining module which is used for obtaining vibration data, temperature data, pressure data and wind pressure data of a target fan collected by a plurality of sensors in the target fan, the edge calculation module is used for receiving the vibration data, the temperature data, the pressure data and the wind pressure data, and analyzing and processing the data to obtain processed data information; and the controller is used for generating a control instruction by utilizing the processed data information so as to adjust the fan rotating speed and the air door opening degree of the target fan according to the control instruction. Therefore, the problems that in the related technology, due to the influence of human factors, the real-time performance of data is poor, data recording is discontinuous, the stability of a monitoring result is low, and the intelligence and reliability of monitoring are reduced are solved.

Description

Technical Field

[0001] The present application relates to the technical field of wind turbine status monitoring, and in particular to an integrated online monitoring device and method for wind turbines based on edge computing. Background Art

[0002] In related technologies, key parameters such as vibration, temperature, and pressure of the fan are measured by intelligent instruments, and staff conduct regular inspections and records, or use programmable logic controllers or data acquisition cards to obtain various operating data of the fan, and send the data to the host computer through Ethernet or serial port for centralized display, alarm and data storage.

[0003] However, in the related technology, due to the influence of human factors, the real-time performance of the data is poor, the data recording is discontinuous, and the stability of the monitoring results is low. In addition, the equipment cost of using a programmable logic controller or a data acquisition card to obtain various operating data of the fan is high, and a large amount of wiring is required, which makes the installation and maintenance more complicated, reduces the intelligence and reliability of the monitoring, and needs to be solved urgently. Summary of the invention

[0004] The present application provides an integrated online monitoring device and method for a wind turbine based on edge computing, in order to solve the problems in the related technology, which are due to the influence of human factors, resulting in poor real-time performance of data, discontinuous data recording, low stability of monitoring results, reduced intelligence and reliability of monitoring, and the like.

[0005] The first aspect of the present application provides an integrated online monitoring device for a wind turbine based on edge computing, including: a sensor data acquisition module, the sensor data acquisition module is used to acquire the vibration data, temperature data, pressure data and wind pressure data of the target wind turbine collected by multiple sensors in the target wind turbine; an edge computing module, the edge computing module is used to receive the vibration data, the temperature data, the pressure data and the wind pressure data, and analyze and process the vibration data, the temperature data, the pressure data and the wind pressure data to obtain processed data information; a controller, the controller is used to receive the processed data information sent by the edge computing module, and generate control instructions using the processed data information to adjust the fan speed and damper opening of the target wind turbine according to the control instructions.

[0006] Optionally, in one embodiment of the present application, the device of the embodiment of the present application also includes: a communication module, which is used to send the adjusted fan speed and damper opening to a preset terminal using at least one communication method, and display the adjusted fan speed and damper opening on the preset terminal.

[0007] Optionally, in one embodiment of the present application, the sensor data acquisition module includes: a data preprocessing unit, used to standardize the data information of the multiple sensors so that the data information is converted into a preset format recognizable by the controller to obtain data information in the preset format.

[0008] Optionally, in one embodiment of the present application, the edge computing module includes: a data analysis unit, used to perform data analysis, data cleaning, feature extraction, pattern recognition and state evaluation on the data information in the preset format to generate processed data information that meets preset conditions.

[0009] Optionally, in one embodiment of the present application, the controller includes: a fault diagnosis unit, used to diagnose the working state of the target fan according to the processed data information; and a generation unit, used to generate a control instruction for the target fan according to the working state.

[0010] The second aspect of the present application provides an integrated online monitoring method for fans based on edge computing, comprising the following steps: obtaining the vibration data, the temperature data, the pressure data and the wind pressure data of the target fan collected by multiple sensors in the target fan; analyzing and processing the vibration data, the temperature data, the pressure data and the wind pressure data to obtain the processed data information; using the processed data information to generate control instructions to adjust the fan speed and damper opening of the target fan according to the control instructions.

[0011] Optionally, in one embodiment of the present application, the method of the embodiment of the present application also includes: using at least one communication method to send the adjusted fan speed and damper opening to a preset terminal, and displaying the adjusted fan speed and damper opening on the preset terminal.

[0012] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the integrated online monitoring method for wind turbines based on edge computing as described in the above embodiment.

[0013] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned edge computing-based integrated online monitoring method for wind turbines.

[0014] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned edge computing-based integrated online monitoring method for wind turbines.

[0015] The embodiment of the present application can obtain the vibration data, temperature data, pressure data and wind pressure data of the target fan collected by multiple sensors in the target fan through the sensor data acquisition module, use the edge computing module to receive the vibration data, temperature data, pressure data and wind pressure data, and analyze and process them to obtain processed data information, and then use the processed data information to generate control instructions through the controller to adjust the fan speed and damper opening of the target fan according to the control instructions, effectively improving the intelligence and reliability of monitoring. In this way, the problems in the related technology that are affected by human factors, resulting in poor real-time data, discontinuous data recording, low stability of monitoring results, and reduced intelligence and reliability of monitoring are solved.

[0016] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0018] Figure 1 It is a structural schematic diagram of a wind turbine integrated online monitoring device based on edge computing provided according to an embodiment of the present application;

[0019] Figure 2 A flowchart of an integrated online monitoring method for a wind turbine based on edge computing provided according to an embodiment of the present application;

[0020] Figure 3 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0022] The following describes a structural schematic diagram of an integrated online monitoring device for a wind turbine based on edge computing proposed in accordance with an embodiment of the present application with reference to the accompanying drawings. Figure 1 It is a structural schematic diagram of an integrated online monitoring device for wind turbines based on edge computing in an embodiment of the present application.

[0023] like Figure 1As shown, the wind turbine integrated online monitoring device 10 based on edge computing includes: a sensor data acquisition module 100, an edge computing module 200 and a controller 300.

[0024] Specifically, the sensor data acquisition module 100 is used to acquire vibration data, temperature data, pressure data and wind pressure data of the target fan collected by multiple sensors in the target fan.

[0025] During the actual implementation process, the embodiment of the present application can set up a sensor data acquisition module 100. For example, the sensor data acquisition module 100 can monitor the vibration of the fan through a vibration sensor, detect whether the fan is unbalanced, loose or has other mechanical faults, and collect vibration acceleration, vibration frequency, etc.; monitor the temperature of key parts such as motor bearings, stator temperature and fan bearing temperature through temperature sensors, and collect real-time temperature values; monitor the pressure on both sides of the fan impeller and the negative pressure of the fan through pressure sensors, and collect pressure values; the wind pressure sensor monitors the wind pressure difference between the inlet and outlet of the fan to evaluate the working efficiency of the fan, collect the wind pressure difference value, and effectively improve the feasibility of online monitoring of the fan.

[0026] In one embodiment of the present application, the sensor data acquisition module 100 includes: a data preprocessing unit.

[0027] The data preprocessing unit is used to perform standardization processing on the data information of multiple sensors so as to convert the data information into a preset format recognizable by the controller 300 to obtain data information in the preset format.

[0028] For example, the data preprocessing unit in the sensor data acquisition module 100 can first filter the data information of multiple sensors to remove noise in the vibration signal; then, perform analog-to-digital conversion to convert the vibration signal into a digital signal; secondly, perform data cleaning to eliminate outliers and fill in missing data; thirdly, perform data standardization to convert the vibration data into a unified numerical representation, such as acceleration units; finally, perform data encoding, package the processed data and encapsulate it according to a preset communication protocol to obtain data information in a preset format, thereby effectively ensuring the accuracy and reliability of the data.

[0029] The edge computing module 200 is used to receive vibration data, temperature data, pressure data and wind pressure data, and analyze and process the vibration data, temperature data, pressure data and wind pressure data to obtain processed data information.

[0030] As a possible implementation method, the embodiment of the present application can set an edge computing module 200, which can receive vibration data, temperature data, pressure data and wind pressure data, and analyze and process the vibration data, temperature data, pressure data and wind pressure data, for example, perform data analysis, data cleaning, feature extraction, pattern recognition and state evaluation in the following steps to obtain processed data information, thereby effectively improving the accuracy of the data.

[0031] Optionally, in one embodiment of the present application, the edge computing module 200 includes: a data analysis unit.

[0032] Among them, the data analysis unit is used to perform data analysis, data cleaning, feature extraction, pattern recognition and status evaluation on data information in a preset format to generate processed data information that meets preset conditions.

[0033] For example, the data analysis unit in the edge computing module 200 can receive vibration data, temperature data, pressure data and wind pressure data sent by multiple sensor data acquisition modules 100. First, the data can be parsed to extract specific data from each sensor; then, data cleaning and preprocessing are performed to clean the data, remove outliers, filter and smooth the data, and reduce the impact of noise; secondly, feature extraction and pattern recognition are performed to extract the frequency and amplitude characteristics in the vibration signal, identify whether the vibration pattern is normal, and determine whether there is abnormal vibration; secondly, status evaluation and fault diagnosis are performed to evaluate whether the current working status of the fan is normal, and diagnose whether the fan has potential faults, such as whether the vibration level exceeds a preset threshold; finally, processed data information is generated, the results of the analysis and processing are integrated, processed data information is generated, the processed data information is packaged into a data packet in a specific format, and sent to the controller 300 in the following steps, which effectively improves the accuracy of fan monitoring.

[0034] The controller 300 is used to receive the processed data information sent by the edge computing module 200, and use the processed data information to generate control instructions to adjust the fan speed and damper opening of the target fan according to the control instructions.

[0035] During the actual implementation process, the embodiment of the present application can set a controller 300, which can receive the processed data information sent by the edge computing module 200, and use the processed data information to generate control instructions. For example, if the vibration level rises abnormally, the controller 300 will generate an instruction to reduce the speed; if insufficient wind pressure is detected, the controller 300 will generate an instruction to increase the damper opening, and then send the generated control instruction to the control system of the fan. The fan control system in the embodiment of the present application adjusts the fan speed and damper opening of the target fan according to the received control instruction. In addition, the controller 300 can set a feedback mechanism to continuously monitor the operating status of the fan, and further adjust the control method according to the new monitoring results, thereby ensuring real-time adjustment and optimization of the fan operating status and improving the operating efficiency and safety of the fan.

[0036] Optionally, in one embodiment of the present application, the controller 300 includes: a fault diagnosis unit and a generation unit.

[0037] Wherein, the fault diagnosis unit is used to diagnose the working status of the target fan according to the processed data information.

[0038] For example, the fault diagnosis unit in the controller 300 can diagnose the operating status of the target fan based on the processed data information. If it is found that the vibration level is abnormally high by evaluating the current operating status of the fan, it is diagnosed that the fan may have problems such as imbalance or looseness. The diagnosis result can be output to the generation unit in the following steps, thereby effectively improving the safety of the fan.

[0039] A generating unit is used to generate a control instruction for the target wind turbine according to the working state.

[0040] For another example, an embodiment of the present application can receive a diagnostic result, that is, the vibration level of the fan is abnormally increased, and generate a control instruction to reduce the fan speed, such as "the fan speed is reduced to X rpm". Then, the control instruction is sent to the fan control system to adjust the fan speed, thereby ensuring real-time monitoring and optimization of the fan operating status.

[0041] Optionally, in an embodiment of the present application, the device 10 of the embodiment of the present application further includes: a communication module.

[0042] Among them, the communication module is used to send the adjusted fan speed and damper opening to a preset terminal using at least one communication method, and display the adjusted fan speed and damper opening on the preset terminal.

[0043] As a possible implementation method, the embodiment of the present application can be provided with a communication module, which can receive the adjusted fan speed and damper opening information from the controller 200, and use at least one communication method, such as ZigBee wireless network, Ethernet, Wi-Fi, RS485 serial communication and other communication methods, to send this information to the computer terminal of the relevant technician, and display the adjusted fan speed and damper opening on the computer terminal, thereby ensuring that the adjusted parameters can be communicated to the relevant technicians in a timely and accurate manner, facilitating remote monitoring and management, and improving the transparency and controllability of the fan operation.

[0044] According to the embodiment of the present application, the integrated online monitoring device for wind turbines based on edge computing can obtain the vibration data, temperature data, pressure data and wind pressure data of the target wind turbine collected by multiple sensors in the target wind turbine through the sensor data acquisition module, and use the edge computing module to receive the vibration data, temperature data, pressure data and wind pressure data, and analyze and process them to obtain processed data information. Then, the controller uses the processed data information to generate control instructions to adjust the wind turbine speed and damper opening of the target wind turbine according to the control instructions, which effectively improves the intelligence and reliability of monitoring. In this way, the problems in the related art that the real-time performance of the data is poor, the data recording is discontinuous, the stability of the monitoring results is low, and the intelligence and reliability of the monitoring are reduced due to the influence of human factors are solved.

[0045] in, Figure 2 A flow chart of an integrated online monitoring method for wind turbines based on edge computing provided in an embodiment of the present application.

[0046] like Figure 2 As shown, the integrated online monitoring method for wind turbines based on edge computing includes the following steps:

[0047] In step S201 , vibration data, temperature data, pressure data and wind pressure data of a target wind turbine collected by a plurality of sensors in the target wind turbine are obtained.

[0048] It can be understood that the embodiments of the present application can monitor the vibration of the fan through a vibration sensor, detect whether the fan is unbalanced, loose or has other mechanical faults, and collect vibration acceleration, vibration frequency, etc.; monitor the temperature of key parts such as motor bearings, stator temperature and fan bearing temperature through temperature sensors, and collect real-time temperature values; monitor the pressure on both sides of the fan impeller and the negative pressure of the fan through pressure sensors, and collect pressure values; monitor the wind pressure difference at the inlet and outlet of the fan through a wind pressure sensor to evaluate the working efficiency of the fan, collect the wind pressure difference value, and effectively improve the feasibility of online monitoring of the fan.

[0049] In step S202, the vibration data, temperature data, pressure data and wind pressure data are analyzed and processed to obtain processed data information.

[0050] It can be understood that the embodiments of the present application can receive vibration data, temperature data, pressure data and wind pressure data, and analyze and process the vibration data, temperature data, pressure data and wind pressure data, for example, perform data analysis, data cleaning, feature extraction, pattern recognition and state evaluation in the following steps to obtain processed data information, thereby effectively improving the accuracy of the data.

[0051] In step S203, a control instruction is generated using the processed data information to adjust the fan speed and damper opening of the target fan according to the control instruction.

[0052] It can be understood that the embodiments of the present application can use the processed data information to generate control instructions. For example, if the vibration level rises abnormally, an instruction to reduce the speed will be generated; if insufficient wind pressure is detected, an instruction to increase the damper opening will be generated, and the generated control instructions will be sent to the control system of the fan. The fan control system in the embodiments of the present application adjusts the fan speed and damper opening of the target fan according to the received control instructions, thereby improving the operating efficiency and safety of the fan.

[0053] Optionally, in one embodiment of the present application, the method of the embodiment of the present application also includes: using at least one communication method to send the adjusted fan speed and damper opening to a preset terminal, and displaying the adjusted fan speed and damper opening on the preset terminal.

[0054] During the actual implementation process, the embodiments of the present application can utilize at least one communication method, such as ZigBee wireless network, Ethernet, Wi-Fi, RS485 serial communication, etc., to send the adjusted fan speed and damper opening to the computer of the relevant technician, and display the adjusted fan speed and damper opening on the computer, thereby ensuring that the adjusted parameters can be communicated to the relevant technician in a timely and accurate manner, facilitating remote monitoring and management, and improving the transparency and controllability of the fan operation.

[0055] It should be noted that the aforementioned explanation of the embodiment of the integrated online monitoring device for wind turbines based on edge computing is also applicable to the integrated online monitoring method for wind turbines based on edge computing of this embodiment, and will not be repeated here.

[0056] According to the integrated online monitoring method of the fan based on edge computing proposed in the embodiment of the present application, the vibration data, temperature data, pressure data and wind pressure data of the target fan collected by multiple sensors in the target fan can be obtained through the sensor data acquisition module, and the vibration data, temperature data, pressure data and wind pressure data are received by the edge computing module, and analyzed and processed to obtain the processed data information. Then, the controller uses the processed data information to generate control instructions to adjust the fan speed and damper opening of the target fan according to the control instructions, which effectively improves the intelligence and reliability of monitoring. In this way, the problems in the related art that the real-time performance of the data is poor, the data recording is discontinuous, the stability of the monitoring results is low, and the intelligence and reliability of the monitoring are reduced due to the influence of human factors are solved.

[0057] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0058] A memory 301 , a processor 302 , and a computer program stored in the memory 301 and executable on the processor 302 .

[0059] When the processor 302 executes the program, the integrated online monitoring method for wind turbines based on edge computing provided in the above embodiment is implemented.

[0060] Furthermore, the electronic device further comprises:

[0061] The communication interface 303 is used for communication between the memory 301 and the processor 302 .

[0062] The memory 301 is used to store computer programs that can be run on the processor 302 .

[0063] The memory 301 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0064] If the memory 301, the processor 302 and the communication interface 303 are implemented independently, the communication interface 303, the memory 301 and the processor 302 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0065] Optionally, in a specific implementation, if the memory 301, the processor 302 and the communication interface 303 are integrated on a chip, the memory 301, the processor 302 and the communication interface 303 can communicate with each other through an internal interface.

[0066] The processor 302 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0067] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the above-mentioned integrated online monitoring method for wind turbines based on edge computing is implemented.

[0068] This embodiment also provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned integrated online monitoring method for wind turbines based on edge computing.

[0069] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0070] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0071] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0072] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0073] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0074] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0075] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0076] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. An integrated online monitoring device for wind turbines based on edge computing, characterized in that: include: A sensor data acquisition module, the sensor data acquisition module is used to acquire vibration data, temperature data, pressure data and wind pressure data of the target fan collected by multiple sensors in the target fan; an edge computing module, the edge computing module being used to receive the vibration data, the temperature data, the pressure data and the wind pressure data, and to analyze and process the vibration data, the temperature data, the pressure data and the wind pressure data to obtain processed data information; A controller is used to receive the processed data information sent by the edge computing module, and use the processed data information to generate control instructions to adjust the fan speed and damper opening of the target fan according to the control instructions.

2. The device according to claim 1, characterized in that Also includes: A communication module, wherein the communication module is used to send the adjusted fan speed and damper opening to a preset terminal using at least one communication method, and display the adjusted fan speed and damper opening on the preset terminal.

3. The device according to claim 1, characterized in that The sensor data acquisition module comprises: The data preprocessing unit is used to perform standardization processing on the data information of the multiple sensors so that the data information is converted into a preset format recognizable by the controller to obtain data information in the preset format.

4. The device according to claim 3, characterized in that The edge computing module includes: The data analysis unit is used to perform data analysis, data cleaning, feature extraction, pattern recognition and status evaluation on the data information in the preset format to generate processed data information that meets preset conditions.

5. The device according to claim 1, characterized in that The controller comprises: A fault diagnosis unit, used for diagnosing the working state of the target wind turbine according to the processed data information; A generating unit is used to generate a control instruction for the target wind turbine according to the working state.

6. A wind turbine integrated online monitoring method based on edge computing, characterized in that: The integrated online monitoring device for wind turbines based on edge computing as described in any one of claims 1 to 5 is adopted, wherein the method comprises the following steps: Acquire the vibration data, the temperature data, the pressure data, and the wind pressure data of the target fan collected by multiple sensors in the target fan; Analyzing and processing the vibration data, the temperature data, the pressure data and the wind pressure data to obtain the processed data information; The processed data information is used to generate a control instruction to adjust the fan speed and damper opening of the target fan according to the control instruction.

7. The method according to claim 6, characterized in that Also includes: The adjusted fan speed and damper opening are sent to a preset terminal by using at least one communication method, and the adjusted fan speed and damper opening are displayed on the preset terminal.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the integrated online monitoring method for wind turbines based on edge computing as described in any one of claims 6 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the edge computing-based integrated online monitoring method for wind turbines as described in any one of claims 6-7.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed by a processor to implement the edge computing-based integrated online monitoring method for wind turbines as described in any one of claims 6 to 7.

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