Method and device for monitoring cathodic protection of offshore wind farm monopile underwater steel structure

Abstract

The embodiment of the present disclosure provides a cathodic protection monitoring method and device for offshore wind power single pile underwater steel structure. The method is to arrange monitoring devices at specified positions of the offshore wind power single pile underwater steel structure, to obtain cathodic protection monitoring data generated by the monitoring devices in real time, and to process the data. A cathodic protection mathematical model is established according to the characteristics of the offshore wind power single pile underwater steel structure and the marine environment conditions. The cathodic protection monitoring data after data processing is input into the cathodic protection mathematical model, and the output result is the minimum monitoring error of the monitoring device. If the minimum monitoring error output by the model is greater than the preset minimum monitoring error, the type of the monitoring device that causes the minimum monitoring error to be greater than the preset minimum monitoring error is determined based on the cathodic protection mathematical model. Through the present application, the cathodic protection state and environmental parameters of the single pile underwater steel structure can be accurately monitored, and the cathodic protection state of the key parts of the offshore wind power single pile underwater steel structure can be accurately monitored.

Description

Technical Field

[0001] This disclosure relates to the field of equipment protection technology, and in particular to a cathodic protection monitoring method, device, equipment and medium for underwater steel structures of offshore wind power monopile. Background Technology

[0002] Offshore wind turbine monopile underwater steel structures are exposed to the marine environment for extended periods and are susceptible to corrosion. Cathodic protection is a commonly used corrosion prevention measure, but traditional cathodic protection systems struggle to provide comprehensive, real-time monitoring of the monopile underwater steel structure, failing to detect potential corrosion problems in a timely manner. Current monitoring systems are inadequate in adapting to and integrating with the characteristics of offshore wind turbine monopile foundation structures, and there is a lack of optimized calculation strategies for the installation locations of monitoring probes. Summary of the Invention

[0003] This disclosure provides a method, device, equipment, and medium for monitoring the cathodic protection of underwater steel structures for offshore wind power monopiles. The aim is to accurately monitor the cathodic protection status and environmental parameters of the underwater steel structure of the monopil, and to ensure accurate monitoring of the cathodic protection status of key parts of the underwater steel structure of offshore wind power monopiles.

[0004] The technical solution disclosed herein is as follows:

[0005] In a first aspect, embodiments of this disclosure provide a cathodic protection monitoring method for underwater steel structures of offshore wind turbine monopiles, comprising:

[0006] Monitoring equipment is deployed at designated locations on the underwater steel structure of offshore wind turbine monopile to acquire cathodic protection monitoring data generated by the monitoring equipment in real time and to process the data.

[0007] A mathematical model for cathodic protection is established based on the characteristics of the underwater steel structure of offshore wind turbine monopile and marine environmental conditions.

[0008] The processed cathodic protection monitoring data is input into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment.

[0009] The model output minimized monitoring error is compared with the preset minimized monitoring error to determine the magnitude relationship between the model output minimized monitoring error and the preset minimized monitoring error;

[0010] If the minimum monitoring error output by the model is greater than the preset minimum monitoring error, the type of monitoring equipment that causes the minimum monitoring error to be greater than the preset minimum monitoring error is determined based on the cathodic protection mathematical model.

[0011] In one possible implementation, the method provided in this embodiment of the invention uses monitoring equipment that includes at least a potential sensor, a current sensor, a temperature sensor, a humidity sensor, and a salinity sensor. The monitoring equipment is installed at a specific location on the underwater steel structure of an offshore wind turbine monopile for real-time monitoring of cathodic protection status and environmental parameters.

[0012] The data types for cathodic protection monitoring should include at least: the installation location of the monitoring camera, water flow velocity, marine organism attachment, structural stress distribution, seawater temperature, seawater salinity, and seawater pH.

[0013] In one possible implementation, the method provided in this embodiment of the invention includes the following steps for processing the real-time acquired cathodic protection monitoring data: data removal, data cleaning, data completion, and data conversion.

[0014] In one possible implementation, the method provided in this embodiment of the invention uses a cathodic protection mathematical model represented by minimizing monitoring error, and the formula for minimizing monitoring error is expressed as:

[0015] min E=(LL ideal ) 2 +f v (v)+f B (B)+f S (S)+f T (T)+f C (C)+f p (p)

[0016] Among them, L ideal These are reference values ​​for monitoring the camera's installation location, where v is the water flow velocity, B is the marine organism attachment, S is the structural stress distribution, T is the seawater temperature, C is the seawater salinity, and p is the pH value.

[0017] In one possible implementation, the method provided in this embodiment of the invention includes a formula for minimizing the monitoring error in the cathodic protection mathematical model.

[0018] f v (v) represents the relationship between water flow velocity and monitoring error, expressed by the formula:

[0019] f v (v)=a1v 2 +b1v+c1

[0020] f B (B) represents the relationship between marine organism attachment and monitoring error, expressed by the formula:

[0021] f B (B)=a2B 2 +b2B+c2

[0022] f S (S) represents the relationship between structural stress distribution and monitoring error, expressed by the formula:

[0023] f S (S)=a3S 2 +b3S+c3

[0024] f T (T) represents the relationship between seawater temperature and monitoring error, expressed by the formula:

[0025] f T (T)=a4(TT ref ) 2 +b4(TT ref )+c4

[0026] f c (C) represents the relationship between salinity and monitoring error, expressed by the formula:

[0027] f C (C)=a5(CC ref ) 2 +b5(CC ref )+c5

[0028] f p (p) represents the relationship between pH value and monitoring error, expressed by the formula:

[0029] f p (p)=a6(pp ref ) 2 +b6(pp ref )+c6

[0030] Among them, a i b i c i (i = 1, 2, ..., 6) are constants, obtained by fitting experimental data; T ref C ref p ref It refers to the seawater temperature, salinity, and pH value.

[0031] In one possible implementation, the method provided in this embodiment of the invention, when outputting the minimized monitoring error of the monitoring device through the cathodic protection mathematical model, includes the following conditions for minimizing the monitoring error:

[0032]

[0033] Among them, L min and L max These are the lower and upper limits of the monitoring camera installation location, respectively; d(L,P) i() indicates the installation location L of the monitoring camera and the key part P. i The distance between them, R is the effective monitoring range radius; C total It is the total cost, C budget It's a budget constraint.

[0034] In one possible implementation, the method provided in this embodiment of the invention involves arranging monitoring equipment at a designated location on the underwater steel structure of an offshore wind turbine monopile to obtain a reference electrode for the cathodic protection system of the underwater steel structure of the offshore wind turbine monopile, and performing cathodic protection monitoring on the underwater steel structure of the offshore wind turbine monopile based on minimizing monitoring errors and using the reference electrode.

[0035] Secondly, this disclosure also provides a cathodic protection monitoring device for underwater steel structures of offshore wind turbine monopiles, comprising:

[0036] The data acquisition module is used to deploy monitoring equipment at designated locations on the underwater steel structure of offshore wind turbine monopile, acquire cathodic protection monitoring data generated by the monitoring equipment in real time, and perform data processing.

[0037] The model building module is used to establish a mathematical model for cathodic protection based on the characteristics of the underwater steel structure of offshore wind turbine monopile and marine environmental conditions.

[0038] The model calculation module is used to input the processed cathodic protection monitoring data into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment;

[0039] The model comparison module is used to compare the minimized monitoring error output by the model with the preset minimized monitoring error, and to determine the magnitude relationship between the minimized monitoring error output by the model and the preset minimized monitoring error.

[0040] The judgment module is used to determine the type of monitoring equipment that causes the minimum monitoring error to exceed the preset minimum monitoring error, based on the cathodic protection mathematical model, when the minimum monitoring error output by the model is greater than the preset minimum monitoring error.

[0041] Thirdly, embodiments of this disclosure also provide an electronic device, including:

[0042] processor;

[0043] Memory used to store processor-executable instructions;

[0044] The processor is configured to execute instructions to implement the method of the first aspect.

[0045] Fourthly, embodiments of this disclosure also provide a computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the method of the first aspect.

[0046] Fifthly, embodiments of this disclosure also provide a computer program product, including a computer program / instructions, characterized in that the computer program / instructions, when executed by a processor, implement the method of the first aspect.

[0047] The technical solutions provided by the embodiments of this disclosure have at least the following beneficial effects:

[0048] In the embodiments of this disclosure, monitoring equipment is deployed at designated locations on the underwater steel structure of an offshore wind turbine monopile to acquire cathodic protection monitoring data in real time and perform data processing. A cathodic protection mathematical model is established based on the characteristics of the underwater steel structure and marine environmental conditions. The processed cathodic protection monitoring data is input into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment. If the minimized monitoring error output by the model is greater than a preset minimized monitoring error, the type of monitoring equipment causing the minimized monitoring error to exceed the preset minimized monitoring error is determined based on the cathodic protection mathematical model. Through this invention, the cathodic protection status and environmental parameters of the underwater steel structure of the monopile can be accurately monitored, ensuring accurate monitoring of the cathodic protection status of key components of the underwater steel structure of the offshore wind turbine monopile.

[0049] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0050] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure, and are not intended to unduly limit this disclosure.

[0051] Figure 1 A schematic flowchart illustrating a cathodic protection monitoring method for an underwater steel structure of a monopile in offshore wind power, provided in an embodiment of this disclosure;

[0052] Figure 2 This is a schematic diagram of the cathodic protection monitoring system in a cathodic protection monitoring method for underwater steel structures of offshore wind power monopiles provided in this embodiment of the disclosure;

[0053] Figure 3 This is a schematic diagram of a cathodic protection monitoring device for an underwater steel structure of a monopile in offshore wind power, provided in an embodiment of this disclosure.

[0054] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. Detailed Implementation

[0055] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings.

[0056] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0057] Figure 1 A flowchart of a cathodic protection monitoring method for an underwater steel structure of a monopile in offshore wind power, as provided in the first embodiment of this disclosure, is shown below. Figure 1 As shown, the method may include the following steps:

[0058] S101, monitoring equipment is installed at a designated location on the underwater steel structure of the offshore wind turbine monopile to acquire cathodic protection monitoring data generated by the monitoring equipment in real time and to process the data.

[0059] In a specific embodiment of the present invention, in addition to monitoring the reference electrode of the cathodic protection system, the monitoring equipment includes at least a potential sensor, a current sensor, a temperature sensor, a humidity sensor, and a salinity sensor; the sensors will collect data to evaluate the effectiveness of the cathodic protection.

[0060] The monitoring equipment is installed at specific locations on the underwater steel structure of the offshore wind turbine monopile for real-time monitoring of cathodic protection status and environmental parameters; among which,

[0061] The data types for cathodic protection monitoring should include at least: the installation location of the monitoring camera, water flow velocity, marine organism attachment, structural stress distribution, seawater temperature, seawater salinity, and seawater pH.

[0062] To achieve timely monitoring and control of the protection potential over long distances, a control device is installed inside the tower, housing an Ethernet switch, potential transmitter, data acquisition controller, and power supply module. The data acquisition card, acquisition channels, and acquisition module are connected to the data acquisition controller (including data acquisition software) to collect and store sensor signals in real time. The potential converter then converts the signals into standard current signals, amplifies and adjusts them appropriately, and finally, the Ethernet switch enables signal exchange with the remote communication terminal. This module also allows for hardware control of the protection potential. The power supply module includes power supply, voltage regulation protection, and power management functional modules.

[0063] The method of this invention allows operators to remotely monitor and manage the cathodic protection system of underwater steel structures. This can be achieved via internet connection or satellite communication. The system includes communication units such as a fiber optic communication module, optical transceiver, industrial Ethernet server, and a secondary development inspection platform, providing functions such as data transmission, data encryption and compression, data storage management, protocol conversion, data integration, data quality control, and scalability.

[0064] The cathodic protection monitoring data generated in real time by the monitoring equipment is transmitted to the remote control center via wired or wireless transmission through the data acquisition and transmission equipment for further processing.

[0065] Specifically, the first step is to process the real-time cathodic protection monitoring data. The data processing steps include: data removal, data cleaning, data completion, and data conversion.

[0066] Data removal involves judging the initial data received from cathodic protection monitoring and removing data that does not meet the requirements.

[0067] The purpose of data cleaning is to improve data quality, reduce the probability of errors during data statistics, and ensure the accuracy and validity of the data. Through data cleaning, erroneous, inconsistent, incomplete, and redundant data can be removed or repaired, making the data more accurate, reliable, and useful, thereby improving the accuracy and reliability of data analysis and machine learning.

[0068] Data completion involves processing existing data to generate missing or incomplete data information.

[0069] Data conversion involves converting cathodic protection monitoring data that does not meet the required data format into a compliant format.

[0070] S102. Based on the characteristics of the underwater steel structure of offshore wind turbine monopile and marine environmental conditions, a mathematical model for cathodic protection is established.

[0071] In this embodiment of the invention, the purpose of constructing the cathodic protection mathematical model is to calculate the minimum monitoring error. Based on the characteristics of the monopile foundation structure and marine environmental conditions, a mathematical model is established, considering factors such as water flow velocity, marine organism attachment, and structural stress distribution. The optimal installation position of the monitoring probe is calculated using formulas to ensure accurate monitoring of the cathodic protection status of critical components.

[0072] Specifically, the formula for minimizing monitoring error is expressed as:

[0073] min E=(LL ideal ) 2 +fv (v)+f B (B)+f S (S)+f T (T)+f C (C)+f p (p)

[0074] Among them, L ideal These are reference values ​​for monitoring the camera's installation location, where v is the water flow velocity, B is the marine organism attachment, S is the structural stress distribution, T is the seawater temperature, C is the seawater salinity, and p is the pH value.

[0075] f v (v) represents the relationship between water flow velocity and monitoring error, expressed by the formula:

[0076] f v (v)=a1v 2 +b1v+c1

[0077] f B (B) represents the relationship between marine organism attachment and monitoring error, expressed by the formula:

[0078] f B (B)=a2B 2 +b2B+c2

[0079] f S (S) represents the relationship between structural stress distribution and monitoring error, expressed by the formula:

[0080] f S (S)=a3S 2 +b3S+c3

[0081] f T (T) represents the relationship between seawater temperature and monitoring error, expressed by the formula:

[0082] f T (T)=a4(TT ref ) 2 +b4(TT ref )+c4

[0083] f c (C) represents the relationship between salinity and monitoring error, expressed by the formula:

[0084] f C (C)=a5(CC ref ) 2 +b5(CC ref )+c5

[0085] f p (p) represents the relationship between pH value and monitoring error, expressed by the formula:

[0086] f p (p)=a6(pp ref ) 2 +b6(pp ref )+c6

[0087] Among them, a i b i c i (i = 1, 2, ..., 6) are constants, obtained by fitting experimental data; T ref C ref p ref It refers to the seawater temperature, salinity, and pH value.

[0088] In other embodiments of the present invention, when the monitoring device outputs the minimized monitoring error through the cathodic protection mathematical model, the conditions for minimizing the monitoring error include:

[0089]

[0090] Among them, L min and L max These are the lower and upper limits of the monitoring camera installation location, respectively; d(L,P) i () indicates the installation location L of the monitoring camera and the key part P. i The distance between them, R is the effective monitoring range radius; C total It is the total cost, C budget It's a budget constraint.

[0091] S103 inputs the processed cathodic protection monitoring data into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment.

[0092] The cathodic protection monitoring data obtained through data processing in step S101 is input into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment.

[0093] S104. Compare the minimized monitoring error output by the model with the preset minimized monitoring error to determine the magnitude relationship between the minimized monitoring error output by the model and the preset minimized monitoring error.

[0094] Based on the model calculation results, the condition is analyzed using corrosion assessment software. This helps identify any potential problems or anomalies and allows for the implementation of necessary measures to address risks. In some cases, the invention also includes remote control functionality, utilizing test system control software to adjust the operating parameters of the cathodic protection device to ensure its effectiveness under different environmental conditions.

[0095] Specifically, by comparing the calculated minimum monitoring error with the preset minimum monitoring error, if the calculated minimum monitoring error is less than or equal to the preset minimum monitoring error, it indicates that the monitoring equipment is installed normally and no adjustment is required.

[0096] S105, if the minimum monitoring error output by the model is greater than the preset minimum monitoring error, based on the cathodic protection mathematical model, determine the type of monitoring equipment that causes the minimum monitoring error to be greater than the preset minimum monitoring error.

[0097] If the minimum monitoring error calculated by the model is greater than the preset minimum monitoring error, it indicates a deviation in the installation location of the monitoring equipment. Specifically, model analysis can identify at least one type of monitoring equipment causing the deviation. After the staff adjusts the position of the corresponding monitoring equipment, the aforementioned steps are repeated, and the model output is compared with the preset minimum monitoring error. If the minimum monitoring error calculated by the model is still greater than the preset minimum monitoring error, analysis and adjustment continue until the minimum monitoring error calculated by the model is less than or equal to the preset minimum monitoring error.

[0098] The method of the present invention relies on Figure 2 The underwater steel structure cathodic protection remote monitoring system shown is implemented. For example... Figure 2 As shown, the system includes an underwater monitoring device, a control room inside the tower, a fiber optic communication module, an industrial Ethernet server, a secondary development inspection platform, a main control platform, and user terminals.

[0099] The underwater monitoring device includes a reference electrode and various monitoring sensors for real-time data sensing. The control room inside the tower includes a hardware acquisition card, a potential transmitter, and an Ethernet switch. Data is acquired through the hardware acquisition card, converted through the potential transmitter, and then transmitted sequentially through the Ethernet switch to a fiber optic communication module, an industrial Ethernet server, and a secondary development inspection platform, ultimately reaching the main control platform. The main control platform builds a cathodic protection mathematical model and corrosion assessment software for underwater steel structures. After obtaining the model analysis results, the results are transmitted to the user terminal. The user terminal includes a remote auxiliary processor, a wireless communication alarm, and internet monitoring. The remote auxiliary processor responds based on the analysis results, the wireless communication alarm issues an alarm signal, and the internet monitoring allows for the acquisition and display of analysis results anytime, anywhere.

[0100] Based on the same inventive concept, this disclosure also provides a cathodic protection monitoring device for underwater steel structures of offshore wind turbine monopiles. For example... Figure 3 As shown, the device 300 includes:

[0101] The data acquisition module 310 is used to deploy monitoring equipment at a designated location on the underwater steel structure of the offshore wind turbine monopile, acquire cathodic protection monitoring data generated by the monitoring equipment in real time, and perform data processing.

[0102] Model building module 320 is used to establish a cathodic protection mathematical model based on the characteristics of the underwater steel structure of offshore wind turbine monopile and marine environmental conditions;

[0103] The model calculation module 330 is used to input the processed cathodic protection monitoring data into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment.

[0104] The model comparison module 340 is used to compare the minimized monitoring error output by the model with the preset minimized monitoring error, and to determine the magnitude relationship between the minimized monitoring error output by the model and the preset minimized monitoring error.

[0105] The judgment module 350 is used to determine the type of monitoring equipment that causes the minimum monitoring error to be greater than the preset minimum monitoring error, based on the cathodic protection mathematical model, when the minimum monitoring error output by the model is greater than the preset minimum monitoring error.

[0106] The specific implementation and technical effects of the device provided in this disclosure are similar to those of the method embodiments described above, and will not be repeated here.

[0107] In addition, combined Figures 1-3 The cathodic protection monitoring method and apparatus for underwater steel structures of offshore wind power monopiles described in this application embodiment can be implemented by electronic devices. Figure 4 A schematic diagram of the hardware structure of the electronic device provided in an embodiment of this application is shown.

[0108] like Figure 4 As shown, the electronic device 1000 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 1001, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1008 into a random access memory (RAM) 1003 to implement the battery capacity prediction method as described in the embodiments of this disclosure. Various programs and data required for the operation of the electronic device 1000 are also stored in the RAM 1003. The processing device 1001, ROM 1002, and RAM 1003 are interconnected via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0109] Typically, the following devices can be connected to the I / O interface 1005: input devices 1006 including, for example, a touchscreen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 1007 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1008 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows electronic device 1000 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 4 An electronic device 1000 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0110] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts, thereby implementing the voice control method as described above. In such embodiments, the computer program can be downloaded and installed from a network via communication device 1009, or installed from storage device 1008, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of embodiments of this disclosure.

[0111] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0112] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0113] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0114] The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to:

[0115] Monitoring equipment is deployed at designated locations on the underwater steel structure of offshore wind turbine monopile to acquire cathodic protection monitoring data generated by the monitoring equipment in real time and to process the data.

[0116] A mathematical model for cathodic protection is established based on the characteristics of the underwater steel structure of offshore wind turbine monopile and marine environmental conditions.

[0117] The processed cathodic protection monitoring data is input into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment.

[0118] The model output minimized monitoring error is compared with the preset minimized monitoring error to determine the magnitude relationship between the model output minimized monitoring error and the preset minimized monitoring error;

[0119] If the minimum monitoring error output by the model is greater than the preset minimum monitoring error, the type of monitoring equipment that causes the minimum monitoring error to be greater than the preset minimum monitoring error is determined based on the cathodic protection mathematical model.

[0120] Optionally, when one or more of the above-described procedures are executed by the electronic device, the electronic device may also perform other steps described in the above embodiments.

[0121] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0122] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0123] The units described in the embodiments of this disclosure can be implemented in software or hardware. The names of the units are not, in some cases, intended to limit the specific unit.

[0124] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0125] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0126] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0127] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0130] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0131] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for monitoring cathodic protection of underwater steel structures for offshore wind turbine monopiles, characterized in that, include: Monitoring equipment is deployed at designated locations on the underwater steel structure of offshore wind turbine monopile to acquire cathodic protection monitoring data generated by the monitoring equipment in real time and to process the data. A mathematical model for cathodic protection is established based on the characteristics of the underwater steel structure of offshore wind turbine monopile and marine environmental conditions. The processed cathodic protection monitoring data is input into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment. The model output minimized monitoring error is compared with the preset minimized monitoring error to determine the magnitude relationship between the model output minimized monitoring error and the preset minimized monitoring error; If the minimum monitoring error output by the model is greater than the preset minimum monitoring error, the type of monitoring equipment that causes the minimum monitoring error to be greater than the preset minimum monitoring error is determined based on the cathodic protection mathematical model. After adjusting the position of the corresponding monitoring equipment, repeat the above steps again, compare the model output with the preset minimum monitoring error, and if the minimum monitoring error calculated by the model is still greater than the preset minimum monitoring error, continue to analyze and adjust until the minimum monitoring error calculated by the model is less than or equal to the preset minimum monitoring error. The cathodic protection mathematical model is represented by minimizing the monitoring error, and the formula for minimizing the monitoring error is as follows: Indicates the location of the monitoring camera. This is a reference value for monitoring the installation location of the camera. For water flow velocity, For attachment to marine organisms, For structural stress distribution, For seawater temperature, For seawater salinity, pH value; In the formula for minimizing the monitoring error in the cathodic protection mathematical model, The relationship between water flow velocity and monitoring error is expressed by the formula: The relationship between marine organism attachment and monitoring error is expressed by the formula: The relationship between structural stress distribution and monitoring error is expressed by the formula: The formula representing the relationship between seawater temperature and monitoring error is as follows: The relationship between salinity and monitoring error is expressed by the formula: The relationship between pH value and monitoring error is expressed by the formula: in, It is a constant, obtained by fitting experimental data; , , These are the reference seawater temperature, salinity, and pH value; When outputting the minimum monitoring error of the monitoring equipment through the cathodic protection mathematical model, the conditions for minimizing the monitoring error include: in, and These are the lower and upper limits for the installation location of the monitoring cameras, respectively. Indicates the installation location of the monitoring camera With key parts The distance between them To effectively monitor the radius of the range; It is the total cost. It's a budget constraint.

2. The cathodic protection monitoring method for underwater steel structures of offshore wind turbine monopiles according to claim 1, characterized in that, The monitoring equipment includes at least potential sensors, current sensors, temperature sensors, humidity sensors, and salinity sensors; the monitoring equipment is installed at specific locations on the underwater steel structure of the offshore wind turbine monopile for real-time monitoring of cathodic protection status and environmental parameters; among which, The data types for cathodic protection monitoring should include at least: the installation location of the monitoring camera, water flow velocity, marine organism attachment, structural stress distribution, seawater temperature, seawater salinity, and seawater pH.

3. The cathodic protection monitoring method for underwater steel structures of offshore wind turbine monopiles according to claim 1, characterized in that, The steps for processing real-time acquired cathodic protection monitoring data include: data removal, data cleaning, data completion, and data conversion.

4. The cathodic protection monitoring method for underwater steel structures of offshore wind turbine monopiles according to claim 1, characterized in that, Monitoring equipment is deployed at designated locations on the underwater steel structure of offshore wind turbine monopile to obtain a reference electrode for the cathodic protection system of the underwater steel structure of offshore wind turbine monopile. Cathodic protection monitoring of the underwater steel structure of offshore wind turbine monopile is carried out based on minimizing monitoring errors and using the reference electrode.

5. A cathodic protection monitoring device for underwater steel structures of offshore wind turbine monopiles, characterized in that, The device is used to implement the cathodic protection monitoring method for underwater steel structures of offshore wind power monopiles as described in any one of claims 1-4, the device comprising: The data acquisition module is used to deploy monitoring equipment at designated locations on the underwater steel structure of offshore wind turbine monopile, acquire cathodic protection monitoring data generated by the monitoring equipment in real time, and perform data processing. The model building module is used to establish a mathematical model for cathodic protection based on the characteristics of the underwater steel structure of offshore wind turbine monopile and marine environmental conditions. The model calculation module is used to input the processed cathodic protection monitoring data into the cathodic protection mathematical model, and the output result is the minimized monitoring error of the monitoring equipment; The model comparison module is used to compare the minimized monitoring error output by the model with the preset minimized monitoring error, and to determine the magnitude relationship between the minimized monitoring error output by the model and the preset minimized monitoring error. The judgment module is used to determine the type of monitoring equipment that causes the minimum monitoring error to exceed the preset minimum monitoring error, based on the cathodic protection mathematical model, when the minimum monitoring error output by the model is greater than the preset minimum monitoring error.

6. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1-4.

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