Cathode protection monitoring method and equipment for offshore wind power single pile underwater steel structure

Abstract

The embodiment of the invention provides a cathode protection monitoring method and device for an offshore wind power single-pile underwater steel structure, and the method comprises the steps: arranging a monitoring device at a designated position of the offshore wind power single-pile underwater steel structure, obtaining cathode protection monitoring data generated by the monitoring device in real time, and carrying out the data processing; according to the characteristics of the offshore wind power single pile underwater steel structure and marine environment conditions, a cathode protection mathematical model is established; inputting the cathode protection monitoring data after data processing into the cathode protection mathematical model, wherein an output result is a minimum monitoring error of the monitoring equipment; and if the minimum monitoring error output by the model is greater than the preset minimum monitoring error, judging the type of monitoring equipment which causes the minimum monitoring error to be greater than the preset minimum monitoring error based on the cathode protection mathematical model. According to the invention, the cathode protection state and environmental parameters of the single-pile underwater steel structure can be accurately monitored, and the cathode protection state of the key part of the offshore wind power single-pile underwater steel structure can be accurately monitored.

Description

Technical Field

[0001] The present disclosure relates to the technical field of equipment protection, and in particular to a cathodic protection monitoring method, device, equipment and medium for an offshore wind power monopile underwater steel structure. Background Art

[0002] The underwater steel structure of offshore wind turbine monopile is in the marine environment for a long time and is susceptible to corrosion. Cathodic protection is a commonly used anti-corrosion measure, but the traditional cathodic protection system is difficult to achieve comprehensive and real-time monitoring of the underwater steel structure of the monopile, and cannot detect potential corrosion problems in time. The current monitoring system has deficiencies in adapting to and combining with the characteristics of the offshore wind turbine monopile foundation structure, and the installation location of the monitoring probe also lacks an optimized calculation strategy. Summary of the invention

[0003] The present invention provides a cathodic protection monitoring method, device, equipment and medium for an offshore wind power monopile underwater steel structure, aiming to accurately monitor the cathodic protection status and environmental parameters of the monopile underwater steel structure, and ensure accurate monitoring of the cathodic protection status of key parts of the offshore wind power monopile underwater steel structure.

[0004] The technical solution of the present disclosure is as follows:

[0005] In a first aspect, an embodiment of the present disclosure provides a cathodic protection monitoring method for an offshore wind power monopile underwater steel structure, comprising:

[0006] Deploy monitoring equipment at designated locations on the underwater steel structure of offshore wind turbine monopile, obtain the cathodic protection monitoring data generated by the monitoring equipment in real time, and process the data;

[0007] According to the underwater steel structure characteristics of offshore wind power monopile and marine environmental conditions, a cathodic protection mathematical model is established;

[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] Compare the minimized monitoring error output by the model with the preset minimized monitoring error to determine the size relationship between the minimized monitoring error output by the model and the preset minimized monitoring error;

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

[0011] In a possible implementation, in the method provided in the embodiment of the present invention, the types of monitoring equipment include 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 position of the underwater steel structure of the offshore wind power monopile for real-time monitoring of the cathodic protection status and environmental parameters; wherein,

[0012] Cathodic protection monitoring data types include at least: monitoring camera installation location, water flow velocity, marine biological attachment, structural stress distribution, seawater temperature, seawater salinity and seawater pH value.

[0013] In a possible implementation, in the method provided in an embodiment of the present invention, the step of processing the cathodic protection monitoring data acquired in real time includes: data elimination, data cleaning, data completion and data conversion.

[0014] In a possible implementation, in the method provided by the embodiment of the present invention, the cathodic protection mathematical model is expressed by minimizing the monitoring error, and the formula for minimizing the 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 is the reference value for the installation position of the monitoring camera, v is the water velocity, B is the attachment of marine organisms, S is the structural stress distribution, T is the seawater temperature, C is the seawater salinity, and p is the pH value.

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

[0018] f v (v) represents the relationship between water flow rate and monitoring error, and the formula is:

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

[0020] f B (B) represents the relationship between marine biological attachment and monitoring error, and the formula is:

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

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

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

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

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

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

[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, and the formula is:

[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) is a constant obtained by fitting the experimental data; T ref , C ref 、p ref It is the reference seawater temperature, salinity and pH value.

[0031] In a possible implementation, in the method provided by the embodiment of the present invention, when the cathodic protection mathematical model is used to output the minimized monitoring error of the monitoring device, the conditions for minimizing the monitoring error include:

[0032]

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

[0034] In one possible implementation, in the method provided in an embodiment of the present invention, monitoring equipment is arranged at a specified position of an offshore wind power monopile underwater steel structure to obtain a reference electrode for a cathodic protection system of the offshore wind power monopile underwater steel structure, and cathodic protection monitoring of the offshore wind power monopile underwater steel structure is performed based on minimizing monitoring errors and reference electrodes.

[0035] In a second aspect, the embodiment of the present disclosure further provides a cathodic protection monitoring device for an offshore wind power monopile underwater steel structure, comprising:

[0036] The data acquisition module is used to arrange monitoring equipment at the designated location of the underwater steel structure of the offshore wind power monopile, obtain the cathodic protection monitoring data generated by the monitoring equipment in real time, and perform data processing;

[0037] Model building module, used to establish a cathodic protection mathematical model based on the underwater steel structure characteristics of offshore wind power monopile and marine environmental conditions;

[0038] A 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] A model comparison module is used to compare the minimized monitoring error output by the model with the preset minimized monitoring error, and determine the size relationship between the minimized monitoring error output by the model and the preset minimized monitoring error;

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

[0041] In a third aspect, an embodiment of the present disclosure further provides an electronic device, including:

[0042] processor;

[0043] a memory for storing processor-executable instructions;

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

[0045] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method of the first aspect when executed by a processor.

[0046] In a fifth aspect, an embodiment of the present disclosure further provides a computer program product, comprising a computer program / instructions, wherein the computer program / instructions implement the method of the first aspect when executed by a processor.

[0047] The technical solution provided by the embodiments of the present disclosure brings at least the following beneficial effects:

[0048] In the embodiments of the present disclosure, by arranging monitoring equipment at the designated position of the underwater steel structure of the offshore wind power monopile, the cathodic protection monitoring data generated by the monitoring equipment is obtained in real time, and the data is processed; according to the characteristics of the underwater steel structure of the offshore wind power monopile and the marine environmental conditions, a cathodic protection mathematical model is established; the cathodic protection monitoring data after data processing 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 the preset minimized monitoring error, based on the cathodic protection mathematical model, the type of monitoring equipment that causes the minimized monitoring error to be greater than the preset minimized monitoring error is determined. Through the present invention, the cathodic protection status and environmental parameters of the underwater steel structure of the single pile can be accurately monitored, ensuring accurate monitoring of the cathodic protection status of key parts of the underwater steel structure of the offshore wind power monopile.

[0049] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the description are used to explain the principles of the present disclosure, and do not constitute improper limitations on the present disclosure.

[0051] Figure 1 A schematic flow chart of a method for monitoring cathodic protection of an underwater steel structure of an offshore wind power monopile provided in an embodiment of the present disclosure;

[0052] Figure 2 A schematic structural diagram of a cathodic protection monitoring system in a cathodic protection monitoring method for an offshore wind power monopile underwater steel structure provided by an embodiment of the present disclosure;

[0053] Figure 3 A schematic structural diagram of a cathodic protection monitoring device for an underwater steel structure of an offshore wind power monopile provided in an embodiment of the present disclosure;

[0054] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0055] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

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

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

[0058] S101, arranging monitoring equipment at a designated location of the underwater steel structure of the offshore wind power monopile, acquiring cathodic protection monitoring data generated by the monitoring equipment in real time, and performing data processing.

[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 effect of cathodic protection.

[0060] The monitoring equipment is installed at a specific location of the underwater steel structure of the offshore wind power monopile to monitor the cathodic protection status and environmental parameters in real time;

[0061] Cathodic protection monitoring data types include at least: monitoring camera installation location, water flow velocity, marine biological attachment, structural stress distribution, seawater temperature, seawater salinity and seawater pH value.

[0062] In order to achieve long-distance and timely monitoring and control of protection potential, a control device is arranged in the tower, with built-in Ethernet switch, potential transmitter, acquisition controller, power supply module and other equipment. The acquisition card machine, acquisition channel, and acquisition module are connected to the acquisition controller (including data acquisition software) to collect and store sensor signals in real time. The potential converter then converts the signal into a standard current signal, and appropriately amplifies and adjusts the signal. Finally, the Ethernet switch realizes signal interaction with the remote communication end. This module can also realize hardware control of protection potential. The power supply module includes functional modules such as power supply, voltage stabilization protection, and power management.

[0063] The method of the present invention allows operators to monitor and manage the cathodic protection system of underwater steel structures from a remote location. This can be achieved through Internet connection or satellite communication. Communication units such as optical fiber communication modules, optical terminals, industrial Ethernet servers, and secondary development inspection platforms are provided here, which have 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 through the data acquisition and transmission equipment by wired or wireless transmission for further processing of the cathodic protection monitoring data.

[0065] Specifically, firstly, the cathodic protection monitoring data acquired in real time is processed, and the steps of data processing include: data elimination, data cleaning, data completion and data conversion.

[0066] Data elimination is to make a data judgment on the initial data of the received cathodic protection monitoring data and eliminate the data that does not meet the requirements.

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

[0068] Data completion is the process of processing existing data to generate missing or incomplete data information.

[0069] Data conversion is to convert the data format that does not meet the data format requirements in the cathodic protection monitoring data into a data format that meets the requirements.

[0070] S102: Establish a cathodic protection mathematical model based on the underwater steel structure characteristics of offshore wind power monopile and marine environmental conditions.

[0071] In the embodiment of the present invention, the purpose of constructing the cathodic protection mathematical model is to calculate the minimum monitoring error. According to the characteristics of the monopile foundation structure and the marine environmental conditions, the mathematical model is established, and the factors considered include water flow velocity, marine biological attachment, structural stress distribution, etc. The formula is used to calculate the optimal installation position of the monitoring probe to ensure that the cathodic protection status of key parts can be accurately monitored.

[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 is the reference value for the installation position of the monitoring camera, v is the water velocity, B is the attachment of marine organisms, 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 rate and monitoring error, and the formula is:

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

[0077] f B (B) represents the relationship between marine biological attachment and monitoring error, and the formula is:

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

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

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

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

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

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

[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, and the formula is:

[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) is a constant obtained by fitting the experimental data; T ref , C ref 、p ref It is the reference seawater temperature, salinity and pH value.

[0088] In other embodiments of the present invention, when the minimization of the monitoring error of the monitoring device is outputted by the cathodic protection mathematical model, the conditions satisfying the minimization of the monitoring error include:

[0089]

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

[0091] S103, inputting the processed cathodic protection monitoring data into a cathodic protection mathematical model, and outputting a 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, comparing the minimized monitoring error output by the model with the preset minimized monitoring error, and determining the size relationship between the minimized monitoring error output by the model and the preset minimized monitoring error.

[0094] Based on the model calculation results, the corrosion assessment software is used to analyze its status. This helps to identify any potential problems or abnormal conditions and take necessary measures to resolve the risk. In some cases, the present invention also has a remote control function, using the 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 minimized monitoring error with the preset minimized monitoring error, if the calculated minimized monitoring error is less than or equal to the preset minimized monitoring error, it means that the monitoring device is installed normally and no adjustment is required.

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

[0097] If the minimum monitoring error calculated by the model is greater than the preset minimum monitoring error, it means that there is a deviation in the installation position of the monitoring equipment. Specifically, through model analysis, at least one type of monitoring equipment that causes the deviation can be determined. After the staff adjusts the position of the corresponding monitoring equipment, the above steps are repeated again to compare the model output result with the preset minimum monitoring error. 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.

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

[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 collected through the hardware acquisition card and converted through the potential transmitter. The converted data is transmitted in sequence to the fiber optic communication module, the industrial Ethernet server, the secondary development inspection platform, and finally to the main control platform through the Ethernet switch. 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 analysis results are transmitted to the user terminal. The user terminal side includes a remote auxiliary processor, wireless communication alarm and online monitoring. The remote auxiliary processor is used to respond according to the analysis results, the wireless communication alarm is used to send out alarm signals, and the online monitoring can obtain and display the analysis results anytime and anywhere.

[0100] Based on the same inventive concept, the embodiment of the present disclosure also provides a cathodic protection monitoring device for an underwater steel structure of an offshore wind power monopile. Figure 3 As shown, the device 300 includes:

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

[0102] The model building module 320 is used to establish a cathodic protection mathematical model according to the underwater steel structure characteristics of the offshore wind power monopile and the 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 determine the size relationship between the minimized monitoring error output by the model and the preset minimized monitoring error;

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

[0106] The specific implementation method and technical effect of the device provided in the embodiment of the present disclosure are similar to those of the above-mentioned method embodiment, and will not be repeated here.

[0107] In addition, combined Figure 1-Figure 3 The cathodic protection monitoring method and device for the underwater steel structure of an offshore wind power monopile described in the embodiment of the present application can be implemented by an electronic device. Figure 4 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present 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 processor, 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 to a random access memory (RAM) 1003 to implement the battery capacity prediction method of the embodiment described in the present disclosure. In the RAM 1003, various programs and data required for the operation of the electronic device 1000 are also stored. The processing device 1001, the ROM 1002, and the RAM 1003 are connected to each other via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

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

[0110] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart, thereby implementing the voice control method as described above. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 1009, or installed from the storage device 1008, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

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

[0112] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0113] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0114] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0115] Deploy monitoring equipment at designated locations on the underwater steel structure of offshore wind turbine monopile, obtain the cathodic protection monitoring data generated by the monitoring equipment in real time, and process the data;

[0116] According to the underwater steel structure characteristics of offshore wind power monopile and marine environmental conditions, a cathodic protection mathematical model is established;

[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] Compare the minimized monitoring error output by the model with the preset minimized monitoring error to determine the size relationship between the minimized monitoring error output by the model and the preset minimized monitoring error;

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

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

[0121] Computer program code for performing the operations of the present disclosure may 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, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate 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 a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0122] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0123] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, wherein the name of a unit does not, in some cases, constitute a limitation on the unit itself.

[0124] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

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

[0126] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0127] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0128] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0129] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0130] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0131] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A cathodic protection monitoring method for underwater steel structures of offshore wind power monopile, It is characterized in that include: Deploy monitoring equipment at designated locations on the underwater steel structure of offshore wind turbine monopile, obtain the cathodic protection monitoring data generated by the monitoring equipment in real time, and process the data; According to the underwater steel structure characteristics of offshore wind power monopile and marine environmental conditions, a cathodic protection mathematical model is established; 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; Compare the minimized monitoring error output by the model with the preset minimized monitoring error to determine the size relationship between the minimized monitoring error output by the model and the preset minimized monitoring error; If the minimized monitoring error output by the model is greater than the preset minimized monitoring error, the type of monitoring equipment that causes the minimized monitoring error to be greater than the preset minimized monitoring error is determined based on the cathodic protection mathematical model.

2. The cathodic protection monitoring method for an offshore wind power monopile underwater steel structure according to claim 1, It is characterized in that The types of monitoring equipment include at least potential sensors, current sensors, temperature sensors, humidity sensors and salinity sensors; the monitoring equipment is installed at a specific location of the underwater steel structure of the offshore wind power monopile to monitor the cathodic protection status and environmental parameters in real time; among them, Cathodic protection monitoring data types include at least: monitoring camera installation location, water flow velocity, marine biological attachment, structural stress distribution, seawater temperature, seawater salinity and seawater pH value.

3. The cathodic protection monitoring method for an offshore wind power monopile underwater steel structure according to claim 1, It is characterized in that The steps of data processing for the real-time acquired cathodic protection monitoring data include: data elimination, data cleaning, data completion and data conversion.

4. The cathodic protection monitoring method for an offshore wind power monopile underwater steel structure according to claim 1, It is characterized in that The cathodic protection mathematical model is expressed by minimizing the monitoring error. The formula for minimizing the monitoring error is: min E=(L-L ideal ) 2 +f v (v)+f B (B)+f S (S)+f T (T)+f C (C)+f p (p) Among them, L ideal is the reference value for the installation position of the monitoring camera, v is the water velocity, B is the attachment of marine organisms, S is the structural stress distribution, T is the seawater temperature, C is the seawater salinity, and p is the pH value.

5. The cathodic protection monitoring method for an offshore wind power monopile underwater steel structure according to claim 4, It is characterized in that In the formula for minimizing monitoring error of the cathodic protection mathematical model, f v (v) represents the relationship between water flow rate and monitoring error, and the formula is: f v (v)=a 1 v 2 +b 1 v+c 1 f B (B) represents the relationship between marine biological attachment and monitoring error, and the formula is: f B (B)=a 2 B 2 +b 2 B+c 2 f S (S) represents the relationship between structural stress distribution and monitoring error, and the formula is: f S (S)=a 3 S 2 +b 3 S+c 3 f T (T) represents the relationship between seawater temperature and monitoring error, and the formula is: f T (T)=a 4 (T-T ref ) 2 +b 4 (T-T ref )+c 4 f C (C) represents the relationship between salinity and monitoring error, and the formula is: f C (C)=a 5 (C-C ref ) 2 +b 5 (C-C ref )+c 5 f p (p) represents the relationship between pH value and monitoring error, and the formula is: f p (p)=a 6 (p-p ref ) 2 +b 6 (p-p ref )+c 6 Among them, a i 、b i 、c i (i=1,2,...,6) is a constant obtained by fitting the experimental data; T ref , C ref 、p ref It is the reference seawater temperature, salinity and pH value.

6. The cathodic protection monitoring method for an offshore wind power monopile underwater steel structure according to claim 1, It is characterized in that When the cathodic protection mathematical model is used to output the minimum monitoring error of the monitoring equipment, the conditions for minimizing the monitoring error include: Among them, L min and L max are the lower and upper limits of the monitoring camera installation position; d(L,P i ) indicates the monitoring camera installation position L and key position P i The distance between them, R is the effective monitoring range radius; C total is the total cost, C budget It's budget constraints.

7. The cathodic protection monitoring method for an offshore wind power monopile underwater steel structure according to claim 1, It is characterized in that Monitoring equipment is arranged at the designated position of the underwater steel structure of the offshore wind turbine monopile to obtain the reference electrode of the cathodic protection system for the offshore wind turbine monopile underwater steel structure, and cathodic protection monitoring of the offshore wind turbine monopile underwater steel structure is carried out based on minimizing the monitoring error and the reference electrode.

8. A cathodic protection monitoring device for underwater steel structures of offshore wind power monopile, It is characterized in that include: The data acquisition module is used to arrange monitoring equipment at the designated location of the underwater steel structure of the offshore wind power monopile, obtain the cathodic protection monitoring data generated by the monitoring equipment in real time, and perform data processing; Model building module, used to establish a cathodic protection mathematical model based on the underwater steel structure characteristics of offshore wind power monopile and marine environmental conditions; A 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; A model comparison module is used to compare the minimized monitoring error output by the model with the preset minimized monitoring error, and determine the size relationship between the minimized monitoring error output by the model and the preset minimized monitoring error; The judgment module is used to judge the type of monitoring equipment that causes the minimized monitoring error to be greater than the preset minimized monitoring error based on the cathodic protection mathematical model when the minimized monitoring error output by the model is greater than the preset minimized monitoring error.

9. An electronic device, It is characterized in that include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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