A wind farm parameter detection method, device and medium

Abstract

The application discloses a wind farm parameter detection method and device and a medium; relates to the field of wind power control; solves the problem that operation parameter errors at the site cannot be found in time; actual operation data of a wind driven generator is used to generate operation information identification in real time; the operation information identification is scanned and analyzed; the analysis result is compared with corresponding control data published in the full-amount information account; if the analysis result is inconsistent with the control data, it is indicated that the setting parameters or program version of the wind driven generator is incorrect; an abnormal parameter correction process is triggered to correct the data, so that operation parameter errors cannot be found in time, and safety problems of the wind driven generator are caused.

Description

Technical Field

[0001] This application relates to the field of wind power control, and in particular to a method, device and medium for detecting wind farm parameters. Background Technology

[0002] The various wind turbines in a wind farm have different models, and different program versions and parameter management are used to control them. In farm-level management, each wind turbine is equipped with its own control system, while the central end needs to centrally monitor and manage the entire wind farm.

[0003] However, since wind turbines are usually not connected to external networks, maintenance personnel need to manually manage them at the wind farm, setting the version and parameters of their operating programs. If the maintenance personnel do not update the data in time or set the wrong version of the operating program, information may be misaligned during communication, and timeliness is difficult to guarantee. The inability to detect errors in operating parameters in time can lead to safety issues for the wind turbines.

[0004] Therefore, how to solve the problem of failing to detect errors in field-end operating parameters in a timely manner is a technical problem that urgently needs to be solved by those in this field. Summary of the Invention

[0005] The purpose of this application is to provide a method, device and medium for detecting wind farm parameters, so as to solve the problem of not being able to detect errors in the operating parameters at the wind farm in a timely manner.

[0006] To address the aforementioned technical problems, this application provides a method for detecting wind farm parameters, comprising:

[0007] Establish a full information ledger based on the control data released by the central terminal;

[0008] The operation information identifiers of each wind turbine are scanned at preset intervals. These operation information identifiers are generated in real time based on the actual operation data of each wind turbine.

[0009] The actual operating data corresponding to each wind turbine is obtained by parsing the operating information identifiers.

[0010] Determine whether the actual operating data of each wind turbine is consistent with the control data recorded in the full information ledger;

[0011] If there is a discrepancy, the exception information is recorded, triggering the exception parameter correction process.

[0012] Preferably, in the above-mentioned wind farm parameter detection method, the operation information is identified as an operation QR code, and the steps for generating the operation QR code are as follows:

[0013] In the data acquisition and monitoring control system, the channel names corresponding to the preset operating parameters are configured with corresponding data acquisition functions to obtain the real-time values ​​corresponding to the preset operating parameters;

[0014] Convert the real-time values ​​corresponding to the preset running parameters and the currently running program versions into binary data format and generate the corresponding running QR codes;

[0015] The QR code will be displayed on the human-computer interaction interface.

[0016] Preferably, in the above-mentioned wind farm parameter detection method, a comprehensive information ledger is established based on the control data released by the central terminal, including:

[0017] Obtain the original parameter files and preset program versions of each wind turbine released by the central terminal;

[0018] Decrypt the original parameter file to obtain the preset parameter values;

[0019] Using the project name and unit name of each wind turbine as an index, the corresponding preset parameter values ​​and preset program versions are recorded to obtain a complete information ledger.

[0020] Preferably, in the above-mentioned wind farm parameter detection method, recording abnormal information and triggering an abnormal parameter correction process includes:

[0021] Record the project name and unit name of the wind turbine that is currently malfunctioning;

[0022] Based on the project name, the generator name, and the current abnormal wind turbine control data recorded in the full information ledger, execute the abnormal parameter correction process.

[0023] Preferably, in the above wind farm parameter detection method, after recording abnormal information and triggering the abnormal parameter correction process, the method further includes:

[0024] Generate early warning events based on abnormal information;

[0025] After the preset processing time, determine whether the actual operating data of the currently abnormal wind turbine is consistent with the control data recorded in the full information ledger;

[0026] If they match, clear the warning event;

[0027] If there is a discrepancy, a warning event is marked, and the abnormal parameter correction process is retried.

[0028] Preferably, in the above-mentioned wind farm parameter detection method, scanning the operating information identifiers of each wind turbine at preset time intervals includes:

[0029] Set the timer according to the preset time;

[0030] When the timer starts, it triggers the scanning device to scan the operation information identifier; the scanning device is set in front of the human-machine interface of each wind turbine to perform the scan.

[0031] Preferably, in the above-mentioned wind farm parameter detection method, converting the real-time values ​​corresponding to the preset operating parameters and the currently running program versions into binary data format and generating corresponding operating QR codes includes:

[0032] The real-time values ​​corresponding to the preset running parameters are concatenated with the currently running program versions in a preset order to form a running information stream;

[0033] The encrypted information stream is then converted into binary data format.

[0034] The corresponding QR code is generated based on the runtime information stream in binary data format.

[0035] To address the aforementioned technical problems, this application also provides a wind farm parameter detection device, comprising:

[0036] The preset information acquisition module is used to establish a full information ledger based on the control data released by the central terminal;

[0037] The operation information acquisition module is used to scan the operation information identifier of each wind turbine at preset time intervals. The operation information identifier is generated in real time based on the actual operation data of each wind turbine.

[0038] The parsing module is used to parse the operation information identifiers to obtain the actual operation data corresponding to each wind turbine.

[0039] The judgment module is used to determine whether the actual operating data of each wind turbine is consistent with the control data recorded in the full information ledger; if they are inconsistent, the correction module is triggered.

[0040] The correction module is used to record abnormal information and trigger the abnormal parameter correction process.

[0041] To address the aforementioned technical problems, this application also provides a wind farm parameter detection device, comprising:

[0042] Memory, used to store computer programs;

[0043] A processor is used to execute computer programs to implement the steps of the wind farm parameter detection method described above.

[0044] To address the aforementioned technical problems, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the aforementioned wind farm parameter detection method.

[0045] The wind farm parameter detection method provided in this application establishes a comprehensive information ledger based on control data released by the central terminal. It scans the operation information identifiers of each wind turbine at preset intervals; these identifiers are generated in real-time based on the actual operating data of each wind turbine. The operation information identifiers are parsed to obtain the corresponding actual operating data for each wind turbine. The method then determines whether the actual operating data of each wind turbine is consistent with the control data recorded in the comprehensive information ledger. If they are inconsistent, an anomaly is recorded, triggering an anomaly parameter correction process. The actual operating data of the wind turbine generates operation information identifiers in real-time. By scanning and parsing these identifiers, the parsing results are compared with the corresponding control data released in the comprehensive information ledger. If they are inconsistent, it indicates an error in the wind turbine's settings or program version, triggering an anomaly parameter correction process to correct the data. This prevents operational parameter errors from going undetected and causing safety issues with the wind turbine.

[0046] In addition, this application also provides an apparatus and medium that correspond to the above-mentioned wind farm parameter detection method and have the same effect. Attached Figure Description

[0047] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 A flowchart of a wind farm parameter detection method provided in this application embodiment;

[0049] Figure 2 A structural diagram of a wind farm parameter detection device provided in an embodiment of this application;

[0050] Figure 3 This is a structural diagram of another wind farm parameter detection device provided in an embodiment of this application. Detailed Implementation

[0051] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of this application.

[0052] The core of this application is to provide a method, device, and medium for detecting wind farm parameters.

[0053] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0054] A wind farm is a facility that generates electricity using wind energy. It typically consists of multiple wind turbines, commonly referred to as wind turbines or wind generators. The wind turbines in a wind farm are usually not directly connected to the external network, as direct connection could pose security risks. Restricting direct access to external networks can reduce the risk of potential cyberattacks and data breaches.

[0055] Therefore, when it is necessary to set parameters for wind turbines, maintenance personnel usually need to manually manage them at the wind farm side, setting the version of the operating program and parameters. If the maintenance personnel do not update the data in time or set the wrong version of the operating program, the information may be misaligned during communication, and the timeliness is difficult to guarantee. The failure to detect errors in operating parameters in time may lead to safety problems of the wind turbine.

[0056] To address the issue of failing to detect errors in wind farm operating parameters in a timely manner, this application provides a method for detecting wind farm parameters, such as... Figure 1 As shown, it includes:

[0057] S11: Establish a full information ledger based on the control data released by the central terminal;

[0058] S12: Scan the operation information identifier of each wind turbine at preset intervals. The operation information identifier is generated in real time based on the actual operation data of each wind turbine.

[0059] S13: Parse the operation information identifiers to obtain the actual operation data corresponding to each wind turbine;

[0060] S14: Determine whether the actual operating data of each wind turbine is consistent with the control data recorded in the full information ledger;

[0061] S15: If there is a discrepancy, record the exception information and trigger the exception parameter correction process.

[0062] The central control unit refers to the control terminal that centrally monitors and manages the entire wind farm, including operation planning and scheduling, and controlling the operating parameters and program versions of each wind turbine. The field control unit refers to the on-site control unit of the wind turbine.

[0063] The full information ledger mentioned in this application refers to a list containing all control data for wind turbines published by the central terminal. Timely updates and maintenance of the full information ledger can be ensured through automated data synchronization and update mechanisms.

[0064] The system scans the operation information identifiers of each wind turbine at preset intervals. These identifiers are generated in real time based on the actual operating data of each turbine. Scanning can be done periodically by staff or by setting up a scanning device with a pre-defined scanning cycle, activating the device at preset intervals to scan the operation information identifiers. The operation information identifiers are then parsed to obtain the corresponding actual operating data for each wind turbine.

[0065] Specifically, the timer is set according to the preset time;

[0066] When the timer starts, it triggers the scanning device to scan the operation information identifier; the scanning device is positioned in front of the human-machine interface of each wind turbine to perform the scan. This embodiment does not limit the specific preset time; it can be set according to actual needs.

[0067] To determine whether the actual operating data of each wind turbine is consistent with the control data recorded in the full information ledger, detection can be performed using a preset monitoring model or by writing automated scripts.

[0068] The abnormal parameter correction process mentioned in this embodiment refers to the preset steps used to correct abnormal information, including but not limited to issuing early warning information, issuing correction tasks, and periodically checking whether the correction has been completed.

[0069] The wind farm parameter detection method provided in this application establishes a comprehensive information ledger based on control data released by the central terminal. It scans the operation information identifiers of each wind turbine at preset intervals; these identifiers are generated in real-time based on the actual operation data of each wind turbine. The operation information identifiers are parsed to obtain the corresponding actual operation data for each wind turbine. It then determines whether the actual operation data of each wind turbine is consistent with the control data recorded in the comprehensive information ledger. If they are inconsistent, an anomaly is recorded, triggering an anomaly parameter correction process. The actual operation data of the wind turbine generates operation information identifiers in real-time. By scanning and parsing these identifiers, the parsing results are compared with the corresponding control data released in the comprehensive information ledger. If they are inconsistent, it indicates an error in the wind turbine's settings or program version, triggering an anomaly parameter correction process to correct the data and prevent undetected operation parameter errors from causing safety issues with the wind turbine.

[0070] According to the above embodiments, in one specific embodiment, the wind farm parameter detection method uses an operation information identifier as an operation QR code, and the steps for generating the operation QR code are as follows:

[0071] In the data acquisition and monitoring control system, the channel names corresponding to the preset operating parameters are configured with corresponding data acquisition functions to obtain the real-time values ​​corresponding to the preset operating parameters;

[0072] Convert the real-time values ​​corresponding to the preset running parameters and the currently running program versions into binary data format and generate the corresponding running QR codes;

[0073] The QR code will be displayed on the human-computer interaction interface.

[0074] SCADA (Supervisory Control and Data Acquisition) system is a data acquisition and monitoring control system. SCADA systems are computer-based DCS (Distributed Control Systems) and power automation monitoring systems. In a SCADA system, corresponding data acquisition functions can be configured based on the channel names corresponding to preset operating parameters to obtain the real-time values ​​of those parameters.

[0075] The program version may include, but is not limited to, maintenance and diagnostic programs, control programs, and data acquisition programs. After the central terminal issues the program version selection, maintenance personnel will manually set the program version on the wind turbine. Similarly, after the central terminal publishes the preset parameter values ​​for each preset operating parameter, maintenance personnel will manually set the corresponding preset parameter values ​​on the wind turbine.

[0076] The collected real-time values ​​of preset operating parameters are converted into binary data format along with the currently running program versions, and a corresponding operating QR code is generated. The operating QR code is then displayed on the human-computer interaction interface for easy scanning to obtain information.

[0077] According to the above embodiments, in one specific embodiment, the wind farm parameter detection method establishes a full information ledger based on the control data released by the central terminal, including:

[0078] Obtain the original parameter files and preset program versions of each wind turbine released by the central terminal;

[0079] Decrypt the original parameter file to obtain the preset parameter values;

[0080] Using the project name and unit name of each wind turbine as an index, the corresponding preset parameter values ​​and preset program versions are recorded to obtain a complete information ledger.

[0081] This is achieved by obtaining the original parameter file and preset program version of the wind turbine, and then decrypting the original parameter file.

[0082] You can first organize the preset parameter values ​​and preset program versions into a specified format to obtain the full parameter information set Ω: {(windfarm1,turbine 11, prog_version1, algo_version1, scode_version1, p 11 ... p 1p ), ..., (windfarm) n ,turbine n1 prog_version n algo_version n scode_version n p n1 ... p np )};

[0083] The complete parameter information set Ω is then organized into a standard data format (indexed by the combination of project name and unit name as [WindF+TurB], and preset parameters and preset programs are represented by ProgV, AlgoV, ScodeV, Para1, ..., Parap, etc.). The specific format is as follows:

[0084] Table 1. Schematic diagram of the complete information ledger

[0085]

[0086] A comprehensive information ledger is established using the project name and unit name of each wind turbine as an index to facilitate the retrieval of wind turbine control data.

[0087] According to the above embodiments, in one specific embodiment, the wind farm parameter detection method records abnormal information and triggers an abnormal parameter correction process, including:

[0088] Record the project name and unit name of the wind turbine that is currently malfunctioning;

[0089] Based on the project name, the generator name, and the current abnormal wind turbine control data recorded in the full information ledger, execute the abnormal parameter correction process.

[0090] When the data is inconsistent, it indicates that the control data is not updated in a timely manner or is set incorrectly. In this case, it is necessary to promptly remind the staff to take control measures. By recording the project name and unit name of the currently abnormal wind turbine, the abnormal wind turbine can be accurately located. Based on the project name, unit name, and the control data of the currently abnormal wind turbine recorded in the full information ledger, the abnormal parameter correction process is executed. This means that by triggering the abnormal parameter correction process, the operation and maintenance personnel receive the abnormal information that needs to be corrected.

[0091] According to the above embodiments, in one specific embodiment, the wind farm parameter detection method records abnormal information, triggers an abnormal parameter correction process, and then further includes:

[0092] Generate early warning events based on abnormal information;

[0093] After the preset processing time, determine whether the actual operating data of the currently abnormal wind turbine is consistent with the control data recorded in the full information ledger;

[0094] If they match, clear the warning event;

[0095] If there is a discrepancy, a warning event is marked, and the abnormal parameter correction process is retried.

[0096] The warning events mentioned in this embodiment are mainly to remind maintenance personnel to handle abnormal information in a timely manner. After a preset processing time, it is determined whether the actual operating data of the currently abnormal wind turbine is consistent with the control data recorded in the full information ledger. In other words, it checks whether the abnormal information processing has been completed. If they are consistent, the warning event is cleared; if they are inconsistent, the warning event is marked and needs to be handled with priority, and the abnormal parameter correction process is retried. This embodiment does not limit the specific preset processing time; it can be set according to the time that maintenance personnel usually use to handle abnormalities.

[0097] According to the above embodiments, in one specific embodiment, the wind farm parameter detection method converts the real-time values ​​corresponding to preset operating parameters and the currently running program versions into binary data format and generates corresponding operating QR codes, including:

[0098] The real-time values ​​corresponding to the preset running parameters are concatenated with the currently running program versions in a preset order to form a running information stream;

[0099] The encrypted information stream is then converted into binary data format.

[0100] The corresponding QR code is generated based on the runtime information stream in binary data format.

[0101] Based on the design characteristics of each standard / customized model, several preset operating parameters are given for each unit [WindF+TurB], forming a set of preset operating parameters for that unit:

[0102]

[0103] The system concatenates the real-time values ​​corresponding to the preset running parameters with the currently running program versions in a preset order to form a running information stream. Special symbols (such as commas, semicolons, square brackets, etc.) are used to concatenate the collected values ​​in a specified order. Then, the running information stream is encrypted and converted into binary data format. A corresponding running QR code is generated based on the running information stream in binary data format. By scanning and parsing the running QR code, the real-time values ​​corresponding to the preset running parameters and the currently running program versions can be obtained.

[0104] The wind farm parameter detection method has been described in detail in the above embodiments. This application also provides embodiments corresponding to the wind farm parameter detection device. It should be noted that this application describes the embodiments of the device from two perspectives: one is based on the functional modules, and the other is based on the hardware.

[0105] From the perspective of functional modules Figure 2 A structural diagram of a wind farm parameter detection device provided in an embodiment of this application is shown below. Figure 2 As shown, the wind farm parameter detection device includes:

[0106] The preset information acquisition module 21 is used to establish a full information ledger based on the control data released by the central terminal;

[0107] The operation information acquisition module 22 is used to scan the operation information identifier of each wind turbine at preset time intervals. The operation information identifier is generated in real time based on the actual operation data of each wind turbine.

[0108] The parsing module 23 is used to parse the operation information identifier to obtain the actual operation data corresponding to each wind turbine.

[0109] The judgment module 24 is used to determine whether the actual operating data of each wind turbine is consistent with the control data recorded in the full information ledger; if they are inconsistent, the correction module is triggered.

[0110] Correction module 25 is used to record abnormal information and trigger the abnormal parameter correction process.

[0111] The wind farm parameter detection device provided in this application includes a preset information acquisition module 21, used to establish a full information ledger based on control data released by the central terminal; an operation information acquisition module 22, used to scan the operation information identifier of each wind turbine at preset intervals, wherein the operation information identifier is generated in real time based on the actual operation data of each wind turbine; a parsing module 23, used to parse the operation information identifier to obtain the actual operation data corresponding to each wind turbine; a judgment module 24, used to judge whether the actual operation data of each wind turbine is consistent with the control data recorded in the full information ledger; if inconsistent, a correction module is triggered; and a correction module 25, used to record abnormal information and trigger an abnormal parameter correction process. The actual operation data of the wind turbine generates operation information identifiers in real time. By scanning and parsing the operation information identifiers, the parsing results are compared with the corresponding control data released in the full information ledger. If inconsistent, it indicates that the setting parameters or program version of the wind turbine are incorrect, and an abnormal parameter correction process is triggered to correct the data, preventing the failure to detect operation parameter errors in a timely manner and avoiding safety issues of the wind turbine unit.

[0112] The operation information is identified by a QR code. Optionally, the channel acquisition module is used in the data acquisition and monitoring control system to configure the corresponding data acquisition function for the channel name corresponding to the preset operation parameters and obtain the real-time value corresponding to the preset operation parameters.

[0113] The conversion module is used to convert the real-time values ​​corresponding to the preset running parameters and the currently running program versions into binary data format and generate the corresponding running QR code;

[0114] The display module is used to display the running QR code on the human-computer interaction interface.

[0115] Optionally, the preset information acquisition module is used to acquire the original parameter files and preset program versions of each wind turbine published by the central terminal; decrypt the original parameter files to obtain preset parameter values; and record the corresponding preset parameter values ​​and preset program versions using the project name and unit name of each wind turbine as indexes to obtain a full information ledger.

[0116] Optionally, the correction module is used to record the project name and unit name of the currently abnormal wind turbine; and to execute the abnormal parameter correction process based on the project name, unit name, and the control data of the currently abnormal wind turbine recorded in the full information ledger.

[0117] Optionally, it also includes an early warning module for generating early warning events based on abnormal information;

[0118] The verification module is used to determine, after a preset processing time, whether the actual operating data of the currently abnormal wind turbine is consistent with the control data recorded in the full information ledger.

[0119] If they match, the alert cancellation module is triggered to clear the alert event;

[0120] If there is a discrepancy, the warning marking module is triggered to mark the warning event and re-trigger the abnormal parameter correction process.

[0121] The operation information acquisition module is used to set a timer according to a preset time. When the timer starts, it triggers the scanning device to scan the operation information identifier. The scanning device is set in front of the human-machine interface of each wind turbine to perform the scan.

[0122] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0123] Figure 3 A structural diagram of another wind farm parameter detection device provided in the embodiments of this application is shown below. Figure 3 As shown, the wind farm parameter detection device includes: a memory 30 for storing computer programs;

[0124] The processor 31 is used to execute a computer program to implement the steps of the method for obtaining user operation habit information as described in the above embodiment (wind farm parameter detection method).

[0125] The wind farm parameter detection device provided in this embodiment may include, but is not limited to, smartphones, tablets, laptops, or desktop computers.

[0126] The processor 31 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 31 may be implemented using at least one of the following hardware forms: Digital Signal Processor (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 31 may also include a main processor and a coprocessor. The main processor, also known as the Central Processing Unit (CPU), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 31 may integrate a Graphics Processing Unit (GPU), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 31 may also include an Artificial Intelligence (AI) processor, which handles computational operations related to machine learning.

[0127] The memory 30 may include one or more computer-readable storage media, which may be non-transitory. The memory 30 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In this embodiment, the memory 30 is used to store at least the following computer program 301, which, after being loaded and executed by the processor 31, can implement the relevant steps of the wind farm parameter detection method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 30 may also include an operating system 302 and data 303, and the storage method may be temporary or permanent storage. The operating system 302 may include Windows, Unix, Linux, etc. The data 303 may include, but is not limited to, the data involved in implementing the wind farm parameter detection method.

[0128] In some embodiments, the wind farm parameter detection device may further include a display screen 32, an input / output interface 33, a communication interface 34, a power supply 35, and a communication bus 36.

[0129] Those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the wind farm parameter detection device and may include more or fewer components than shown.

[0130] The wind farm parameter detection device provided in this application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the following method: a wind farm parameter detection method, which establishes a full information ledger based on control data released by the central terminal; scans the operation information identifier of each wind turbine at preset intervals, wherein the operation information identifier is generated in real time based on the actual operation data of each wind turbine; parses the operation information identifier to obtain the actual operation data corresponding to each wind turbine; determines whether the actual operation data of each wind turbine is consistent with the control data recorded in the full information ledger; if they are inconsistent, records the abnormal information and triggers the abnormal parameter correction process. The actual operation data of the wind turbine generates operation information identifiers in real time. By scanning and parsing the operation information identifiers, the parsing results are compared with the corresponding control data released in the full information ledger. If they are inconsistent, it indicates that the setting parameters or program version of the wind turbine are incorrect, and the abnormal parameter correction process is triggered to correct the data, so as to avoid the failure to detect the operation parameter errors in time and cause safety problems of the wind turbine.

[0131] Finally, this application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps described in the above embodiment of the wind farm parameter detection method.

[0132] It is understood that if the methods in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0133] The computer-readable storage medium provided in this embodiment stores a computer program. When the processor executes the program, it can implement the following method: a wind farm parameter detection method, which establishes a full information ledger based on control data released by the central terminal; scans the operation information identifiers of each wind turbine at preset intervals, wherein the operation information identifiers are generated in real time based on the actual operation data of each wind turbine; parses the operation information identifiers to obtain the actual operation data corresponding to each wind turbine; determines whether the actual operation data of each wind turbine is consistent with the control data recorded in the full information ledger; if they are inconsistent, records the abnormal information and triggers the abnormal parameter correction process. The actual operation data of the wind turbine generates operation information identifiers in real time. By scanning and parsing the operation information identifiers, the parsing results are compared with the corresponding control data released in the full information ledger. If they are inconsistent, it indicates that the setting parameters or program version of the wind turbine are incorrect, and the abnormal parameter correction process is triggered to correct the data, so as to avoid the failure to detect operation parameter errors in time and cause safety problems of the wind turbine.

[0134] The wind farm parameter detection method, apparatus, and medium provided in this application have been described in detail above. The various embodiments in the specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0135] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for detecting wind farm parameters, characterized in that, include: Establish a full information ledger based on the control data released by the central terminal; The operation information identifier of each wind turbine is scanned at preset intervals, wherein the operation information identifier is generated in real time based on the actual operation data of each wind turbine; The actual operating data corresponding to each wind turbine is obtained by parsing the operating information identifier; specifically, the real-time values ​​of preset operating parameters and the currently running program versions can be obtained by scanning and parsing the operating QR code. Determine whether the actual operating data of each wind turbine is consistent with the control data recorded in the full information ledger; If there is a discrepancy, record the exception information and trigger the exception parameter correction process; The operation information identifier is an operation QR code. The steps for generating the operation QR code are as follows: In the data acquisition and monitoring control system, the channel name corresponding to the preset operation parameter is configured with the corresponding data acquisition function to obtain the real-time value corresponding to the preset operation parameter; the real-time value corresponding to the preset operation parameter and the currently running program versions are converted into binary data format and the corresponding operation QR code is generated; the operation QR code is displayed on the human-machine interface; wherein, according to the design characteristics of each wind turbine, multiple preset operation parameters are given for each unit to form a preset operation parameter set for the unit; The step of establishing a full information ledger based on control data released by the central terminal includes: obtaining the original parameter files and preset program versions of each wind turbine released by the central terminal; decrypting the original parameter files to obtain preset parameter values; and recording the corresponding preset parameter values ​​and preset program versions using the project name and unit name of each wind turbine as indexes to obtain the full information ledger. The step of scanning the operation information identifiers of each wind turbine at preset intervals includes: setting a timer according to the preset interval; when the timer is started, triggering the scanning device to scan the operation information identifiers; wherein the scanning device is positioned in front of the human-machine interface of each wind turbine to perform the scanning. The step of converting the real-time values ​​corresponding to the preset running parameters and the currently running program versions into binary data format and generating the corresponding running information identifier includes: concatenating the real-time values ​​corresponding to the preset running parameters and the currently running program versions into a running information stream in a preset order; encrypting the running information stream and then converting it into binary data format; and generating the corresponding running information identifier based on the running information stream in binary data format.

2. The wind farm parameter detection method according to claim 1, characterized in that, The process of recording abnormal information and triggering abnormal parameter correction includes: Record the project name and unit name of the wind turbine that is currently experiencing an anomaly; Based on the project name, the generator name, and the control data of the currently abnormal wind turbine recorded in the full information ledger, an abnormal parameter correction process is executed.

3. The wind farm parameter detection method according to claim 2, characterized in that, The process of recording abnormal information and triggering abnormal parameter correction includes: A warning event is generated based on the abnormal information; After a preset processing time, determine whether the actual operating data of the currently abnormal wind turbine is consistent with the control data recorded in the full information ledger; If they match, then clear the warning event; If there is a discrepancy, the warning event is marked, and the abnormal parameter correction process is retried.

4. A wind farm parameter detection device, characterized in that, include: The preset information acquisition module is used to establish a full information ledger based on the control data released by the central terminal; The operation information acquisition module is used to scan the operation information identifier of each wind turbine at preset time intervals, wherein the operation information identifier is generated in real time based on the actual operation data of each wind turbine. The parsing module is used to parse the operation information identifier to obtain the actual operation data corresponding to each wind turbine; specifically, scanning the parsing operation QR code can obtain the real-time values ​​corresponding to the preset operation parameters and the currently running program versions. The judgment module is used to determine whether the actual operating data of each wind turbine is consistent with the control data recorded in the full information ledger; if they are inconsistent, the correction module is triggered. The correction module is used to record abnormal information and trigger the abnormal parameter correction process; The operation information identifier is an operation QR code. The steps for generating the operation QR code are as follows: In the data acquisition and monitoring control system, the channel name corresponding to the preset operation parameter is configured with the corresponding data acquisition function to obtain the real-time value corresponding to the preset operation parameter; the real-time value corresponding to the preset operation parameter and the currently running program versions are converted into binary data format and the corresponding operation QR code is generated; the operation QR code is displayed on the human-machine interface; wherein, according to the design characteristics of each wind turbine, multiple preset operation parameters are given for each unit to form a preset operation parameter set for the unit; The step of establishing a full information ledger based on control data released by the central terminal includes: obtaining the original parameter files and preset program versions of each wind turbine released by the central terminal; decrypting the original parameter files to obtain preset parameter values; and recording the corresponding preset parameter values ​​and preset program versions using the project name and unit name of each wind turbine as indexes to obtain the full information ledger. The step of scanning the operation information identifiers of each wind turbine at preset intervals includes: setting a timer according to the preset interval; when the timer is started, triggering the scanning device to scan the operation information identifiers; wherein the scanning device is positioned in front of the human-machine interface of each wind turbine to perform the scanning. The step of converting the real-time values ​​corresponding to the preset running parameters and the currently running program versions into binary data format and generating the corresponding running information identifier includes: concatenating the real-time values ​​corresponding to the preset running parameters and the currently running program versions into a running information stream in a preset order; encrypting the running information stream and then converting it into binary data format; and generating the corresponding running information identifier based on the running information stream in binary data format.

5. A wind farm parameter detection device, characterized in that, include: Memory, used to store computer programs; A processor is configured to execute the computer program to implement the steps of the wind farm parameter detection method as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the wind farm parameter detection method as described in any one of claims 1 to 3.

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