Offshore wind power partition corrosion safety evaluation method, system, device and storage medium

Abstract

The present application relates to the field of offshore wind power, and discloses a kind of offshore wind power partition corrosion safety evaluation method, system, equipment and storage medium, the method comprises: obtaining the sensor acquisition data of current area, and the sensor acquisition data is divided based on preset dimension and is fused again, obtain each dimension fusion dataset;Target area factor is extracted in dimension fusion dataset, and matching is carried out in standard area division table based on target area factor, and the area type of current area is determined according to the matching result;The evaluation parameter corresponding to the area type is obtained, and the safety of current area is evaluated according to the evaluation parameter, and the evaluation result of current area is obtained.Because the matching of area type is carried out in dimension fusion dataset in the present application, and safety evaluation is carried out according to the evaluation parameter corresponding to the area, the complex marine environment area type can be considered, and when comprehensive monitoring data is obtained, the accurate evaluation of offshore wind power partition corrosion safety condition is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the offshore wind power technical field, and particularly relates to an offshore wind power partition corrosion safety evaluation method, system, equipment and storage medium. BACKGROUND

[0002] The offshore wind power equipment usually adopts a wind power pile foundation steel structure, and due to the existence of various corrosion factors such as high humidity, high salt fog, long sunshine in the marine atmospheric area, dry and wet alternation in the splashing area, seawater immersion and biological attachment in the underwater area, the offshore wind power equipment has corrosion phenomena in different degrees. The various types of marine corrosion not only bring great safety hazards to the offshore wind turbine, but also increase the difficulty of monitoring the offshore wind power equipment. The existing manual monitoring of the corrosion state cannot obtain comprehensive monitoring data, and thus cannot realize accurate evaluation of the corrosion safety condition of the offshore wind power equipment in different regions.

[0003] The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as related art. SUMMARY

[0004] The main purpose of the present application is to provide an offshore wind power partition corrosion safety evaluation method, system, equipment and storage medium, which aims to solve the technical problem that the existing monitoring of the offshore wind power equipment cannot obtain comprehensive monitoring data and cannot realize accurate evaluation of the corrosion safety condition of the wind power equipment.

[0005] To achieve the above purpose, the present application provides an offshore wind power partition corrosion safety evaluation method, which comprises the following steps:

[0006] Obtain sensor collection data of a current region, and divide and re-fuse the sensor collection data based on a preset dimension to obtain a dimension fusion data set;

[0007] Extract a target region factor in the dimension fusion data set, and match the target region factor in a standard region division table based on the target region factor, and determine a region type of the current region according to a matching result;

[0008] Obtain an evaluation parameter corresponding to the region type, and perform safety evaluation on the current region according to the evaluation parameter to obtain an evaluation result of the current region.

[0009] Optionally, the region type includes an above-water region and an underwater region, the evaluation parameter corresponding to the above-water region includes a coating impedance and a corrosion rate, and the evaluation parameter corresponding to the underwater region includes a protection potential, a coating impedance and a corrosion rate.

[0010] Optionally, the acquiring the evaluation parameter corresponding to the region type and performing safety evaluation on the current region according to the evaluation parameter to obtain an evaluation result of the current region comprises:

[0011] When the current region is an underwater region, a potential value of the current region is acquired according to the dimension fusion data set, and the potential value is compared with a safe potential;

[0012] If the potential value meets the safe potential, an equipment damage factor is extracted from the dimension fusion data set;

[0013] If the equipment damage factor is greater than a preset damage threshold, an equipment corrosion allowance of the current region is determined according to the dimension fusion data set, and whether the current region is in a corrosion safe state is determined according to the equipment corrosion allowance.

[0014] Optionally, the acquiring the evaluation parameter corresponding to the region type and performing safety evaluation on the current region according to the evaluation parameter to obtain an evaluation result of the current region comprises:

[0015] When the current region is an underwater region, a potential value of the current region is acquired according to the dimension fusion data set, and the potential value is compared with a safe potential;

[0016] If the equipment damage factor is greater than a preset damage threshold, an equipment corrosion allowance of the current region is determined according to the dimension fusion data set, and whether the current region is in a corrosion safe state is determined according to the equipment corrosion allowance.

[0017] Optionally, after the current region is determined to be in a corrosion dangerous state, the method further comprises:

[0018] If the potential value does not meet the safe potential, it is determined that the current region is in a corrosion dangerous state;

[0019] An alarm information is generated according to the evaluation result of the current region in the corrosion dangerous state.

[0020] Optionally, when the equipment damage factor is greater than a preset damage threshold, an equipment corrosion allowance of the current region is acquired;

[0021] A safe service life of the equipment is determined according to the equipment corrosion allowance;

[0022] Whether the current region is in a corrosion safe state is determined according to the safe service life of the equipment.

[0023] Optionally, before acquiring sensor data collected in the current area, and dividing and re-fusing the sensor data based on a preset dimension to obtain a dimension-fused dataset, the following steps are included:

[0024] Real-time monitoring data from each sensor in the current area is collected at preset intervals;

[0025] The real-time monitoring data from each sensor is preprocessed by signal conversion to obtain standardized real-time monitoring data from each sensor.

[0026] By integrating the standardized real-time monitoring data from various sensors, the sensor-collected data for the current area can be obtained.

[0027] Furthermore, to achieve the above objectives, this invention also proposes a marine wind power zone corrosion safety assessment system, the system comprising:

[0028] The front-end corrosion safety monitoring module is used to collect real-time monitoring data from each sensor in the current area based on a preset interval; and to perform signal conversion preprocessing on the real-time monitoring data from each sensor to obtain standardized real-time monitoring data from each sensor.

[0029] The mid-range data transmission module is used to integrate standardized real-time monitoring data from various sensors to obtain sensor-collected data for the current area.

[0030] The backend online monitoring module is used to acquire sensor data collected in the current area, and divide the sensor data collected in the current area according to a preset dimension to obtain a fusion dataset of each dimension; extract the target area factor from the fusion dataset, and match it in a standard area division table based on the target area factor, and determine the area type of the current area according to the matching result; acquire the evaluation parameters corresponding to the area type, and perform a security assessment of the current area according to the evaluation parameters to obtain the evaluation result of the current area.

[0031] Furthermore, to achieve the above objectives, the present invention also proposes an offshore wind power zone corrosion safety assessment device, the device comprising: a memory, a processor, and an offshore wind power zone corrosion safety assessment program stored in the memory and executable on the processor, the offshore wind power zone corrosion safety assessment program being configured to implement the steps of the offshore wind power zone corrosion safety assessment method as described above.

[0032] In addition, to achieve the above objectives, the present invention also proposes a storage medium storing an offshore wind power zone corrosion safety assessment program, wherein when the offshore wind power zone corrosion safety assessment program is executed by a processor, the steps of the offshore wind power zone corrosion safety assessment method as described above are implemented.

[0033] This invention first acquires sensor data collected from the current area and divides the sensor data based on preset dimensions to obtain a fused dataset of each dimension. Target area factors are extracted from the fused dataset, and matched against a standard area division table based on these target area factors. The area type of the current area is determined based on the matching results. Evaluation parameters corresponding to the area type are obtained, and a safety assessment of the current area is performed based on these evaluation parameters to obtain the evaluation result. Because this invention can divide sensor-collected data into dimensions, match area types within the resulting fused dataset, and then perform a safety assessment of the current area according to the evaluation parameters corresponding to the area type, it can consider complex marine environmental area types, obtain comprehensive monitoring data, achieve accurate assessment of corrosion safety status in offshore wind power zones, and improve the reliability of the assessment results. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the structure of the offshore wind power zone corrosion safety assessment equipment for the hardware operating environment involved in the embodiments of the present invention;

[0035] Figure 2 This is a flowchart illustrating the first embodiment of the offshore wind power zone corrosion safety assessment method of the present invention;

[0036] Figure 3 This is a flowchart illustrating the second embodiment of the offshore wind power zone corrosion safety assessment method of the present invention;

[0037] Figure 4 This is a flowchart illustrating the third embodiment of the offshore wind power zone corrosion safety assessment method of the present invention;

[0038] Figure 5 This is a structural block diagram of the first embodiment of the offshore wind power zone corrosion safety assessment system of the present invention.

[0039] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0040] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0041] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of the offshore wind power zone corrosion safety assessment equipment for the hardware operating environment involved in the embodiments of the present invention.

[0042] like Figure 1As shown, the offshore wind power zone corrosion safety assessment equipment may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk storage device. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0043] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the corrosion safety assessment equipment for offshore wind power zones, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0044] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and an offshore wind power zone corrosion safety assessment program.

[0045] exist Figure 1 In the offshore wind power zone corrosion safety assessment device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and memory 1005 in the offshore wind power zone corrosion safety assessment device of the present invention can be set in the offshore wind power zone corrosion safety assessment device. The offshore wind power zone corrosion safety assessment device calls the offshore wind power zone corrosion safety assessment program stored in the memory 1005 through the processor 1001 and executes the offshore wind power zone corrosion safety assessment method provided in the embodiment of the present invention.

[0046] This invention provides a method for assessing the corrosion safety of offshore wind power zones, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the offshore wind power zone corrosion safety assessment method of the present invention.

[0047] In this embodiment, the offshore wind power zone corrosion safety assessment method includes the following steps:

[0048] Step S10: Obtain sensor data collected in the current area, and divide and re-fuse the sensor data based on a preset dimension to obtain a dimension fusion dataset.

[0049] It should be noted that the executing entity in this embodiment can be a security assessment device with data processing, network communication, and program execution functions, such as a computer, tablet, mobile phone, or laptop. It can also be other electronic devices that can achieve the same or similar functions and implement the offshore wind power zone corrosion safety assessment method. This embodiment does not limit this. Here, an offshore wind power zone corrosion safety assessment device (hereinafter referred to as the assessment device) is selected as an example to illustrate the offshore wind power zone corrosion safety assessment method of the present invention.

[0050] Understandably, the current area is where offshore wind turbines requiring corrosion safety assessments are located. Multiple different types of sensors are pre-installed on the offshore wind turbines in this area to acquire relevant data from various perspectives.

[0051] It should be understood that the evaluation device can store the sensor data collected in the current area in its built-in memory, and can also create and save the collected data in a database based on an SQL database.

[0052] It should be noted that the preset dimensions can be dimensions that take into account the sea area where the offshore wind power equipment is located and the basic structure of the equipment itself, and can reveal the corrosion safety of the offshore wind power foundation structure from different perspectives. The preset dimensions can include corrosion environment, protection potential, coating impedance, and corrosion rate. Different level values ​​for these four dimensions can be given using polygonal radar charts to obtain evaluation parameters for the area determined based on the preset dimensions.

[0053] It should be understood that, considering the strong correlation between the four types of data in these different dimensions, after dividing the sensor-collected data into four categories based on preset dimensions, the data can be further integrated according to the inline attributes of the data to make them interconnected into an organic whole.

[0054] It should be noted that the dimension fusion dataset can be a dataset that is related to the four major categories of data obtained through the above fusion. Since the data is an independent data object, it can be configured, collected, acquired and used separately. Therefore, the dimension fusion dataset ensures the coupling between the four categories of data obtained based on dimension partitioning.

[0055] In practice, after the evaluation equipment acquires sensor data from the area where the offshore wind power equipment is located, it first divides the sensor data according to preset dimensions. The data can be divided into four categories: corrosion environment, protection potential, coating impedance, and corrosion rate. Then, considering the correlation and coupling between the various types of data, the above four types of data are fused to obtain a dimension fusion dataset.

[0056] Step S20: Extract the target region factor from the dimensional fusion dataset, and match it in the standard region partitioning table based on the target region factor. Determine the region type of the current region based on the matching result.

[0057] It should be noted that the target area factor can be a factor that reflects the specific corrosion environment type of the area where the offshore wind power equipment is located. A standard area division table can be set in advance, in which different assigned factors correspond to different specific corrosion environment areas.

[0058] Understandably, this standard regional division table can be set as shown in Table 1:

[0059] Table 1 - Standard Area Division Table

[0060]

[0061] In Table 1, when the target area factor a is assigned a value of 0.8, the current area can be considered as a marine mud area; when the target area factor a is assigned a value of 1, the current area can be considered as a seawater area; when the target area factor is assigned a value of 1.25, the current area can be considered as a tidal zone area; when the target area factor is assigned a value of 0.75, the current area can be considered as an atmospheric zone.

[0062] It is understandable that when the target area factor a is assigned a value of 0.8 or 0.1 in the above standard area division table, that is, when the current area matches the mud area or the seawater area, the area type of the current area can be considered as an underwater area. When the target area factor a is assigned a value of 1.25 or 0.75 in the above standard area division table, the area type of the current area can be considered as an above-water area.

[0063] Step S30: Obtain the evaluation parameters corresponding to the region type, and perform a security evaluation on the current region based on the evaluation parameters to obtain the evaluation result of the current region.

[0064] It should be noted that different evaluation parameters can be set for different region types by combining the dimension types included in the above-mentioned preset dimensions. Since the preset dimensions can include corrosion environment a, protection potential b, coating impedance c, and corrosion rate d, and considering that the potential value reflecting the electrochemical state is a comprehensive judgment of the state of the underwater structure of the equipment, the evaluation parameters for the above-water region can include coating impedance c and corrosion rate d, while the evaluation parameters for the underwater region can include protection potential b, coating impedance c, and corrosion rate d.

[0065] Understandably, after determining the region type, an evaluation process related to evaluation parameters can be performed on the current region based on the region type. Corrosion monitoring sensitivity thresholds are set for different evaluation parameters. When the evaluation parameters for the current region exceed the corresponding set sensitivity thresholds, an alarm is triggered, and the evaluation results generated based on the evaluation parameters are pushed to the system.

[0066] It should be noted that the letter identifiers of the evaluation parameters are used here to refer to the evaluation process related to the evaluation parameters. When the current area is above water, steps c and d are executed in sequence to monitor the change in coating impedance to obtain the physical protection status of the wind power equipment and reflect the self-corrosion status of the metal substrate of the equipment through the corrosion rate. When the current area is underwater, steps b, c, and d are executed in sequence. Compared with the above water area, the potential value information of the underwater part can be taken into account, and the protection potential can be monitored to obtain the electrochemical status of the wind power equipment.

[0067] In practice, the assessment equipment obtains the assessment parameters corresponding to the current area type, executes the assessment process related to the assessment parameters, and then obtains the assessment results including the current area's electrochemical state, physical protection state, and self-corrosion state, thereby achieving a comprehensive and reliable assessment of the area's corrosion safety status.

[0068] This embodiment acquires sensor data collected in the current area, divides and re-fused the sensor data based on preset dimensions to obtain a dimensional fusion dataset. Target area factors are extracted from the dimensional fusion dataset, and matched against a standard area division table based on these target area factors. The area type of the current area is determined based on the matching results. Evaluation parameters corresponding to the area type are obtained, and a safety assessment is performed on the current area based on these evaluation parameters to obtain the assessment result. Because this embodiment divides and re-fused the acquired sensor data based on dimensions, matches area types within the dimensional fusion dataset, and performs a safety assessment according to the evaluation parameters corresponding to the area—including protection potential, coating impedance, and corrosion rate—it can take into account complex marine environmental area types. This allows for an accurate assessment of the corrosion safety status of offshore wind power zones when comprehensive monitoring data is obtained.

[0069] refer to Figure 3 , Figure 3 This is a flowchart illustrating the second embodiment of the offshore wind power zone corrosion safety assessment method of the present invention.

[0070] Based on the above embodiments, in this embodiment, in order to perform an evaluation process related to evaluation parameters for the current area of ​​different area types, when the current area type is an underwater area, step S30 includes:

[0071] Step S301: When the current area is an underwater area, obtain the potential value of the current area according to the dimensional fusion dataset, and compare the potential value with the safe potential.

[0072] It should be noted that when the current area is underwater, the wind turbine equipment has a portion submerged in water, thus allowing the acquisition of its potential value. If the current potential value exceeds or falls below the allowable range, it may damage the lifespan of the wind turbine's foundation steel structure.

[0073] Understandably, the potential value of high-purity zinc in seawater can be used as the potential value of the current area, and this potential value can be compared with the set safety potential. This safety potential can be set as a potential value range within a closed interval, for example, [0, 250mV].

[0074] In the specific implementation, when the current area is determined to be an underwater area, the evaluation device obtains the potential value of high-purity zinc in the seawater of the current area from the dimensional fusion dataset, and determines whether the obtained potential value is within the allowable safe potential range.

[0075] Furthermore, if the potential value does not meet the safety potential, the current area is determined to be in a state of corrosion hazard; and an alarm message is generated based on the assessment result of the current area being in a state of corrosion hazard.

[0076] It is understandable that if the potential value of the high-purity zinc obtained above exceeds or falls below the allowable safe potential, an alarm message can be generated to prompt the user to pay attention to the current steel structure status of the wind power equipment in the area, and to prompt the user to analyze the original sacrificial anode protection effect and perform corrosion protection measures based on electrochemical status, such as cathodic protection inspection.

[0077] Furthermore, based on the potential value of the current area, the area under corrosion hazard can be further divided into general corrosion hazard and severe corrosion hazard states, and this distinction can be made in the corresponding generated alarm messages. Specifically, when the potential value is within the range of [-250mV, 0) or (250mV, 550mV], the current area can be considered to be in a general corrosion hazard state, and the alarm message can remind the user to pay attention to the steel structure condition of the wind turbine equipment in the current area and check the effectiveness of the existing sacrificial anode corrosion protection measures; when the potential value is less than -250mV or greater than 550mV, the current area can be considered to be in a severe corrosion hazard state, and the alarm message can remind the user to maintain the steel structure of the wind turbine equipment in the current area and recommend the implementation of cathodic protection.

[0078] Step S302: If the potential value meets the safety potential, extract the equipment damage factor from the dimensional fusion dataset.

[0079] Understandably, if the potential value of the high-purity zinc obtained above is within the safe potential range, the damage factor of the equipment can be extracted, and the physical protection status of the wind power equipment can be evaluated from the perspective of the coating impedance of the wind power equipment.

[0080] It should be noted that the above-mentioned breakage factor can be determined according to the breakage factor calculation formula, which is as follows:

[0081] Where F is the damage factor, Z(t) is the impedance-time function, A is the service life of the wind turbine, and S is the design service life of the wind turbine.

[0082] It is understandable that the damage factor determined by the damage factor calculation formula can reflect the evaluation result of the coating condition, which can be divided into intact, partially damaged, and coating failure.

[0083] Step S303: If the equipment damage factor is greater than the preset damage threshold, then determine the equipment corrosion margin in the current area based on the dimensional fusion dataset, and determine whether the current area is in a corrosion safe state based on the equipment corrosion margin.

[0084] It should be noted that a preset damage threshold can be set in advance to determine the evaluation result of the current equipment coating status in the form of a quantitative value based on the damage factor calculated above. For example, the preset damage threshold can be set to 25000. When F < 2500, that is, when the equipment damage factor is less than the preset damage threshold, it can be said that the coating status of the wind power equipment in the current area is partially damaged or the coating has failed. An alarm message can be generated to prompt the user to check the coating of the wind power equipment in the current area.

[0085] It is understandable that if the equipment damage factor is not less than the preset damage threshold, it can be said that the coating of the wind power equipment in the current area is intact or in a partially damaged state that does not require coating inspection. The self-corrosion state of the wind power equipment in the current area can be obtained from the corrosion rate of the wind power equipment.

[0086] It should be understood that the corrosion allowance of the equipment in the current region can be determined from the dimensionality fusion dataset according to the corrosion allowance calculation formula, which is:

[0087] D = 0.67D0 - A·K.icorr

[0088] Where D0 is the original thickness of the wind turbine wall, icorr is the current density, and K is a constant, which can be determined as 11.73 based on historical experience.

[0089] In practice, if the calculated equipment damage factor is greater than the preset damage threshold, the corrosion margin of the equipment in the current area can be determined based on the dimensional fusion dataset and the corrosion margin calculation formula. The self-corrosion status of the wind power equipment in the current area can then be obtained based on the corrosion margin.

[0090] Furthermore, when the current area type is a water area, step S30 includes:

[0091] Step S311: When the current area is a water area, extract the equipment damage factor from the dimensional fusion dataset;

[0092] Step S312: If the equipment damage factor is greater than the preset damage threshold, then determine the equipment corrosion margin in the current area based on the dimensional fusion dataset, and determine whether the current area is in a corrosion safe state based on the equipment corrosion margin.

[0093] Furthermore, in order to infer the current corrosion trend and tendency of the area based on measured data, step S303 or step S312 includes:

[0094] Step S3001: When the equipment damage factor is greater than the preset damage threshold, obtain the equipment corrosion allowance in the current area.

[0095] Step S3002: Determine the usable safe service life of the equipment based on the corrosion allowance of the equipment.

[0096] It should be noted that in the above formula for calculating corrosion allowance, D can also be the predicted corrosion allowance. When D is 0, A can be the predicted usable safe life.

[0097] Step S3003: Determine whether the current area is in a corrosion-safe state based on the available safe lifespan of the equipment.

[0098] In practice, after obtaining the corrosion margin of the equipment in the current area, the assessment equipment can determine the usable safe life of the wind power equipment in the current area based on the corrosion margin, so as to further determine whether the current area is in a corrosion safe state and obtain the assessment result of the current area.

[0099] In this embodiment, an evaluation process related to evaluation parameters is performed based on the current region type. When the current region is underwater, a safety evaluation process including potential value comparison, damage factor comparison, and calculation of equipment corrosion margin is performed. When the current region is above water, a safety evaluation process including damage factor comparison and calculation of equipment corrosion margin is performed. This approach takes into account different corrosion environments, integrates multiple evaluation parameters, and achieves a step-by-step evaluation of regional corrosion safety, resulting in a more comprehensive evaluation result.

[0100] refer to Figure 4 , Figure 4 This is a flowchart illustrating the third embodiment of the offshore wind power zone corrosion safety assessment method of the present invention.

[0101] Based on the above embodiments, in order to obtain richer sensor data, before step S10, the following steps are included:

[0102] Step S001: Collect real-time monitoring data from each sensor in the current area based on a preset interval.

[0103] Step S002: Perform signal conversion preprocessing on the real-time monitoring data of each sensor to obtain standardized real-time monitoring data of each sensor.

[0104] Understandably, since the specific locations of the sensors in the current area are different, the types of data acquired by the wind power equipment are different. The acquired data may include, for example, corrosion rate sensor data, corrosion performance sensor data, and cathodic protection reference electrode data. Therefore, the multi-source sensor data can be preprocessed to obtain stable and standardized real-time monitoring data from each sensor.

[0105] It should be noted that, considering the relatively weak signal of the data acquired by the sensor during data transmission and analysis, preprocessing such as filtering and amplification can be performed on the sensor data signal to ensure signal quality. Furthermore, analog-to-digital conversion can be performed to obtain real-time monitoring data in a digital signal format that is easy to transmit.

[0106] It should be noted that the real-time monitoring data of each standardized sensor can also be stored in the built-in memory of the evaluation device to achieve persistent data storage. This is beneficial for tracing back to historical data when obtaining the evaluation results of the current area, so as to realize reasonable planning for corrosion protection.

[0107] Step S003: Integrate the standardized real-time monitoring data from each sensor to obtain the sensor-collected data for the current area.

[0108] In practical implementation, standardized real-time monitoring data from various sensors can be packaged and integrated to obtain sensor-collected data for the current area. This data can then be displayed visually on the evaluation device's interface, allowing users to intuitively obtain the raw sensor data.

[0109] This embodiment collects real-time monitoring data from each sensor in the current area at preset intervals; it preprocesses the real-time monitoring data of each sensor by signal conversion to obtain standardized real-time monitoring data from each sensor; and it integrates the standardized real-time monitoring data from each sensor to obtain the sensor-collected data for the current area. This allows for the acquisition of accurate and comprehensive corrosion-related data for the current area, and the sensor-collected data can be displayed visually through the evaluation device's interface, enabling users to intuitively obtain the raw sensor data.

[0110] In addition, to achieve the above objectives, the present invention also proposes a storage medium storing an offshore wind power zone corrosion safety assessment program, wherein when the offshore wind power zone corrosion safety assessment program is executed by a processor, the steps of the offshore wind power zone corrosion safety assessment method as described above are implemented.

[0111] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be repeated here.

[0112] refer to Figure 5 , Figure 5 This is a structural block diagram of the first embodiment of the offshore wind power zone corrosion safety assessment system of the present invention.

[0113] The front-end corrosion safety monitoring module 501 is used to collect real-time monitoring data from each sensor in the current area based on a preset interval; and to perform signal conversion preprocessing on the real-time monitoring data from each sensor to obtain standardized real-time monitoring data from each sensor.

[0114] The mid-range data transmission module 502 is used to integrate the standardized real-time monitoring data from various sensors to obtain the sensor-collected data for the current area.

[0115] The backend online monitoring module 503 is used to acquire sensor data collected in the current area, and to divide and re-fuse the sensor data based on preset dimensions to obtain fused datasets for each dimension; to extract target area factors from the fused datasets, and to match the target area factors in a standard area division table, and to determine the area type of the current area based on the matching results; to acquire the evaluation parameters corresponding to the area type, and to perform a security assessment of the current area based on the evaluation parameters, thereby obtaining the assessment result of the current area.

[0116] This embodiment utilizes a front-end corrosion safety monitoring module to collect real-time monitoring data from various sensors in the current area at preset intervals. The real-time monitoring data from each sensor undergoes signal conversion preprocessing to obtain standardized real-time monitoring data. A mid-end data transmission module integrates the standardized real-time monitoring data from each sensor to obtain sensor-collected data for the current area. A back-end online monitoring module acquires the sensor-collected data for the current area, divides and re-fused the data based on preset dimensions to obtain fused datasets for each dimension. Target area factors are extracted from the fused datasets, and matching is performed on a standard area division table based on these target area factors. The area type of the current area is determined based on the matching results. Evaluation parameters corresponding to the area type are obtained, and a safety assessment is performed on the current area based on these parameters to obtain the assessment result. Because this embodiment can divide the sensor-collected data into dimensions, match area types within the resulting fused datasets, and then perform a safety assessment on the current area according to the evaluation parameters corresponding to the area type, it can consider complex marine environmental area types, obtain comprehensive monitoring data, achieve accurate assessment of corrosion safety status in offshore wind power zones, and improve the reliability of the assessment results.

[0117] Other embodiments or specific implementations of the offshore wind power zone corrosion safety assessment system of the present invention can refer to the above-mentioned method embodiments, and will not be repeated here.

[0118] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0119] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0120] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0121] The above are merely preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for assessing corrosion safety in offshore wind power zones, characterized in that, The method includes: Acquire sensor data collected in the current area, and divide and re-fuse the sensor data based on a preset dimension to obtain a dimension fusion dataset; Target region factors are extracted from the dimensional fusion dataset and matched in a standard region partitioning table based on the target region factors. The region type of the current region is determined according to the matching results. The target region factors are factors that can reflect the specific corrosion environment type of the area where the offshore wind power equipment is located. The region type includes above-water areas and underwater areas. The evaluation parameters corresponding to the above-water areas include coating impedance and corrosion rate. The evaluation parameters corresponding to the underwater areas include protection potential, coating impedance, and corrosion rate. Obtain the evaluation parameters corresponding to the region type, and perform a security evaluation on the current region based on the evaluation parameters to obtain the evaluation result of the current region.

2. The offshore wind power zone corrosion safety assessment method as described in claim 1, characterized in that, The step of obtaining the evaluation parameters corresponding to the region type, and performing a security evaluation on the current region based on the evaluation parameters to obtain the evaluation result of the current region includes: When the current area is an underwater area, the potential value of the current area is obtained according to the dimensional fusion dataset, and the potential value is compared with the safe potential. If the potential value meets the safety potential, extract the equipment failure factor from the dimensional fusion dataset; If the equipment damage factor is greater than the preset damage threshold, the equipment corrosion margin in the current area is determined based on the dimensional fusion dataset, and the current area is judged to be in a corrosion-safe state based on the equipment corrosion margin.

3. The method for assessing corrosion safety in offshore wind power zones as described in claim 1, characterized in that, The step of obtaining the evaluation parameters corresponding to the region type, and performing a security evaluation on the current region based on the evaluation parameters to obtain the evaluation result of the current region includes: When the current area is a water area, extract the equipment damage factor from the dimensional fusion dataset; If the equipment damage factor is greater than the preset damage threshold, the equipment corrosion margin in the current area is determined based on the dimensional fusion dataset, and the current area is judged to be in a corrosion-safe state based on the equipment corrosion margin.

4. The offshore wind power zone corrosion safety assessment method as described in claim 2, characterized in that, When the current area is an underwater area, the process of obtaining the potential value of the current area based on the dimensional fusion dataset and comparing the potential value with the safe potential includes: If the potential value does not meet the safe potential, the current area is determined to be in a state of corrosion hazard. An alarm message is generated based on the assessment results of the current area being in a state of corrosion hazard.

5. The offshore wind power zone corrosion safety assessment method as described in claim 2 or 3, characterized in that, If the equipment damage factor is greater than a preset damage threshold, then the corrosion margin of the current area is determined based on the dimensional fusion dataset, and the current area is judged to be in a corrosion-safe state based on the corrosion margin, including: When the equipment failure factor is greater than a preset failure threshold, the equipment corrosion allowance in the current area is obtained; The usable safe service life of the equipment is determined based on the corrosion allowance of the equipment. Whether the current area is in a corrosion-safe state can be determined based on the available safe lifespan of the equipment.

6. The method for assessing corrosion safety in offshore wind power zones as described in claim 1, characterized in that, Before acquiring sensor data collected in the current area, and dividing and fusing the sensor data based on preset dimensions to obtain a fused dataset for each dimension, the process includes: Real-time monitoring data from each sensor in the current area is collected at preset intervals; The real-time monitoring data from each sensor is preprocessed by signal conversion to obtain standardized real-time monitoring data from each sensor. By integrating the standardized real-time monitoring data from various sensors, the sensor-collected data for the current area can be obtained.

7. A zoned corrosion safety assessment system for offshore wind power, characterized in that, The system includes: The front-end corrosion safety monitoring module is used to collect real-time monitoring data from each sensor in the current area based on a preset interval; and to perform signal conversion preprocessing on the real-time monitoring data from each sensor to obtain standardized real-time monitoring data from each sensor. The mid-range data transmission module is used to integrate standardized real-time monitoring data from various sensors to obtain sensor-collected data for the current area. The backend online monitoring module is used to acquire sensor data collected in the current area, and to divide and re-fuse the sensor data based on preset dimensions to obtain fused datasets for each dimension; to extract target area factors from the fused datasets, and to match the target area factors in a standard area division table, and to determine the area type of the current area based on the matching results; to acquire the evaluation parameters corresponding to the area type, and to perform a security assessment of the current area based on the evaluation parameters, thereby obtaining the assessment result of the current area; The target area factor is a factor that can reflect the specific corrosion environment type of the area where the offshore wind power equipment is located. The area type includes above-water area and underwater area. The evaluation parameters corresponding to the above-water area include coating impedance and corrosion rate. The evaluation parameters corresponding to the underwater area include protection potential, coating impedance and corrosion rate.

8. A corrosion safety assessment device for offshore wind power zones, characterized in that, The device includes: a memory, a processor, and an offshore wind power zone corrosion safety assessment program stored in the memory and executable on the processor, the offshore wind power zone corrosion safety assessment program being configured to implement the steps of the offshore wind power zone corrosion safety assessment method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a marine wind power zone corrosion safety assessment program, which, when executed by a processor, implements the steps of the marine wind power zone corrosion safety assessment method as described in any one of claims 1 to 6.

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