State monitoring method for offshore wind power foundation structure

Abstract

The invention relates to the technical field of offshore wind power foundation structure monitoring, in particular to a state monitoring method for an offshore wind power foundation structure, and the method comprises the steps: collecting the health feature information of a target offshore wind power foundation structure in a historical period; analyzing a health feature representation value based on the health feature information; whether the stability of the target offshore wind power foundation structure meets the standard or not is judged based on the comparison result of the health feature characterization value and a preset health feature characterization threshold value; when the stability meets the standard in response, interference characteristic information of the target sea area environment in a historical period is collected; analyzing an interference characteristic characterization value based on the interference characteristic information; judging whether the reliability of the monitoring equipment is abnormal or not based on a comparison result of the interference characteristic characterization value and a preset interference characteristic characterization threshold value; calculating an interference index in response to the reliability abnormality; and determining a reason of reliability abnormity based on the interference index and matching a corresponding processing strategy. The monitoring reliability of the state of the offshore wind power foundation structure is improved.

Description

Technical Field

[0001] This invention relates to the field of offshore wind power foundation structure monitoring technology, and in particular to a method for monitoring the condition of offshore wind power foundation structures. Background Technology

[0002] Offshore wind turbine foundations operate for extended periods in complex marine environments characterized by high salt spray, strong corrosion, and abundant suspended matter. Their structural integrity directly impacts the safe operation and lifespan of the wind turbine generators. Existing monitoring systems generally focus on parameter acquisition and fusion assessment of the structure itself, lacking mechanisms to identify and correct the impact of the marine environment on measurement accuracy. This presents significant shortcomings in practical applications: Firstly, ultrasonic propagation time is affected by sound velocity shifts caused by changes in seawater salinity, and eddy current-induced voltage is interfered with by probe adhesion due to increased seawater turbidity. Environmental factors and structural damage signals are coupled, leading to distorted monitoring results. Secondly, existing methods lack mechanisms to identify and correct measurement deviations caused by environmental disturbances, failing to distinguish between structural anomalies and misjudgments by monitoring equipment influenced by the environment. This results in high false alarm and false negative rates, failing to meet the urgent needs of offshore wind power projects for accurate structural condition perception and long-term stable monitoring.

[0003] Chinese Patent Publication No. CN119825653A discloses a safety monitoring system for offshore wind power foundation structures, comprising the following modules: a foundation monitoring module, including a level, stress sensor, and pressure sensor, for monitoring foundation tilt, stress changes, and water pressure changes; a cable monitoring module for monitoring the cable's own condition; an environmental monitoring module, including wave frequency monitoring, surface foreign object monitoring, and climate monitoring; a data transmission module, including a cloud unit, a submarine fiber optic unit, and a data storage unit, supporting microwave communication, satellite communication, and fiber optic communication; data can be transmitted instantly on a timed basis or triggered by an anomaly; a data aggregation module for data preprocessing, including data cleaning and data integration; and parameter prediction, including predicting the operating status of a scoring model based on a national standard and expert scoring system, using the entropy weight method, and predicting the lifespan of a three-dimensional prediction model by combining corrosion degradation, fatigue degradation, and impact load data. Summary of the Invention

[0004] To address this, the present invention provides a condition monitoring method for offshore wind power foundations. This method overcomes the problem that existing technologies fail to consider the initial stage of scour formation in offshore wind power foundations. During this stage, localized scour causes salinity stratification and a sudden increase in turbidity in the water, leading to signal drift due to environmental interference. However, the offshore wind power foundation itself has not yet suffered actual damage. Consequently, changes in the aquatic environment caused by scour are mistakenly identified as abnormalities in the offshore wind power foundation, resulting in a high false alarm rate, distorted maintenance decision-making, missed engineering intervention windows in the early stages of scour, and ultimately, the destabilization and instability of the offshore wind power foundation. This makes it difficult to accurately perceive the safety status of the offshore wind power foundation during the scour stage, resulting in low monitoring reliability.

[0005] To achieve the above objectives, the present invention provides a method for monitoring the condition of offshore wind power foundation structures, comprising: Collect health characteristic information of target offshore wind power foundation structures within historical periods; Analyze the health characteristic representation values ​​based on the aforementioned health characteristic information; Based on the comparison results between the health feature characterization values ​​and the predetermined health feature characterization thresholds, it is determined whether the stability of the target offshore wind power foundation structure meets the standard. When the stability meets the standard, the disturbance characteristic information of the target sea area environment within the historical period is collected; Analyze the interference feature characterization values ​​based on the aforementioned interference feature information; The reliability of the monitoring equipment is determined based on the comparison between the interference feature characterization value and the predetermined interference feature characterization threshold. Calculate the interference index in response to reliability anomalies; The cause of the reliability anomaly is determined based on the interference index, and a corresponding processing strategy is matched based on the cause. The processing strategy includes determining the adjustment range of the weight ratio of the first health factor and the second health factor, and determining the increase range of the predetermined health feature characterization threshold. The health characteristic information includes the ultrasonic wave propagation time and the eddy current induced voltage; the interference characteristic information includes the salinity and turbidity of seawater.

[0006] Furthermore, the process of analyzing health characteristic representation values ​​based on the aforementioned health characteristic information includes: Extract the ultrasonic propagation time and eddy current induced voltage of the target offshore wind power foundation structure within a historical period; The first health factor is determined by calculating the ratio of a predetermined ultrasound propagation time threshold to the ultrasound propagation time. The second health factor is determined by calculating the ratio of a predetermined eddy current induced voltage threshold to the eddy current induced voltage. The health characteristic value is obtained by summing the first health factor and the second health factor according to a predetermined first weight ratio.

[0007] Furthermore, the process of analyzing the interference feature characterization value based on the interference feature information includes: Extract the salinity and turbidity of seawater in the target marine environment within a historical period; The first interference factor is determined by calculating the ratio of the predetermined salinity threshold to the salinity. The second interference factor is determined by calculating the ratio of the predetermined turbidity threshold to the turbidity. The interference feature characterization value is obtained by summing the first interference factor and the second interference factor according to a predetermined second weight ratio.

[0008] Furthermore, the process of determining whether the stability of the target offshore wind power foundation structure meets the standard based on the comparison result of the health characteristic characterization value and the predetermined health characteristic characterization threshold includes: If the health characteristic representation value is less than or equal to the predetermined health characteristic representation threshold, then the stability is determined to be non-compliant with the standard. If the health characteristic representation value is greater than the predetermined health characteristic representation threshold, then the stability is determined to meet the standard.

[0009] Furthermore, the process of determining whether the reliability of the monitoring equipment is abnormal based on the comparison result between the interference feature characterization value and the predetermined interference feature characterization threshold includes: If the interference feature characterization value is less than or equal to the predetermined interference feature characterization threshold, then the reliability is determined to be abnormal. If the interference feature value is greater than the predetermined interference feature threshold, then the reliability is determined to be normal.

[0010] Furthermore, the process of calculating the interference index includes: Extract interference feature values ​​and predetermined interference feature thresholds; Calculate the difference between the predetermined threshold for representing interference features and the value of the interference features; The difference is defined as the interference index.

[0011] Furthermore, the process of determining the cause of reliability anomalies based on the interference index includes: If the disturbance index is less than or equal to the predetermined disturbance index threshold, it is determined that the slight fluctuations in the monitoring equipment are caused by seasonal water changes and nearshore siltation. If the interference index is greater than the predetermined interference index threshold, it is determined to be due to seawater pollution, strong winds and waves causing seabed sediment to surge and a large amount of suspended particulate matter to adhere to the probe surface.

[0012] Furthermore, the process of matching corresponding processing strategies based on the causes of the reliability anomalies includes: If the cause is slight fluctuations in the monitoring equipment due to seasonal water changes and nearshore siltation, then determine the adjustment range of the weight ratio of the first health factor to the second health factor. If the cause is seawater pollution, strong winds and waves causing seabed sediment to churn and a large amount of suspended particulate matter to adhere to the probe surface, then the predetermined increase in the health characteristic characterization threshold is determined.

[0013] Furthermore, the determination of the predetermined health feature representation threshold increase range is wherein the predetermined health feature representation threshold increase range is positively correlated with the interference index.

[0014] Furthermore, the adjustment range of the weight ratio of the first health factor to the second health factor is determined, wherein the adjustment range of the weight ratio is related to the interference index.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention provides a method for monitoring the condition of offshore wind power infrastructure. This method involves collecting health characteristic information of the target offshore wind power infrastructure over a historical period, analyzing health characteristic values ​​based on this information, and determining whether the stability of the target offshore wind power infrastructure meets the standard based on a comparison between the health characteristic values ​​and a predetermined health characteristic threshold. If the stability meets the standard, the method further collects interference characteristic information of the target marine environment over a historical period, analyzes interference characteristic values ​​based on this information, and then determines whether the reliability of the monitoring equipment is abnormal based on a comparison between the interference characteristic values ​​and a predetermined interference characteristic threshold. Only when the reliability is abnormal is the difference between the predetermined interference characteristic threshold and the interference characteristic value calculated as an interference index. Based on the interference index, the cause of the reliability abnormality is determined, and a corresponding processing strategy is matched. This invention overcomes the problems of existing technologies where, in the early stages of scour formation in offshore wind power foundations, localized scour causes salinity stratification and a sudden increase in turbidity in the water, leading to signal drift due to environmental interference. However, the offshore wind power foundation itself has not yet suffered actual damage. Consequently, the changes in the aquatic environment caused by scour are mistakenly identified as abnormalities in the offshore wind power foundation, resulting in a surge in false alarms, distorted maintenance decision-making, missed opportunities for engineering intervention in the early stages of scour, and ultimately, the destabilization and instability of the offshore wind power foundation. This makes it difficult to accurately perceive the safety status of the offshore wind power foundation during the scour stage, resulting in low monitoring reliability.

[0016] In particular, this invention obtains health characteristic information by collecting the ultrasonic propagation time and eddy current induced voltage of the target offshore wind power foundation structure over a historical period. After the stability of the target offshore wind power foundation structure meets the standards, it obtains interference characteristic information by collecting the seawater salinity and turbidity of the target sea area over a historical period. It collects specific characteristic information related to the health of the offshore wind power foundation structure and environmental interference of the monitoring equipment, which enables subsequent monitoring and analysis to have realistic data support, thereby improving the accuracy of offshore wind power foundation structure status monitoring data.

[0017] In particular, this invention extracts corresponding parameters from the collected health feature information, calculates the ratio of a predetermined threshold to the actual parameters to obtain a first health factor and a second health factor, and sums them according to a predetermined first weight ratio to obtain a health feature characterization value. It also extracts corresponding parameters from the collected interference feature information, calculates the ratio of a predetermined threshold to the parameters to obtain a first interference factor and a second interference factor, and sums them according to a predetermined second weight ratio to obtain an interference feature characterization value. This allows the feature information characterizing the health status of offshore wind power foundations and the degree of environmental interference to form quantifiable and specific values, thereby improving the accuracy of monitoring offshore wind power foundations.

[0018] In particular, this invention compares health characteristic values ​​with predetermined health characteristic thresholds. If the health characteristic value is greater than the predetermined threshold, the stability of the target offshore wind power foundation is determined to meet the standard. Then, based on the comparison of interference characteristic values ​​with predetermined interference characteristic thresholds, the reliability of the monitoring equipment is determined to be abnormal. The monitoring equipment is determined to be abnormal only when the interference characteristic value is less than or equal to the predetermined threshold. By setting clear numerical comparison rules for a two-level determination, the health status of the offshore wind power foundation itself can be distinguished first. Only when the health status is normal is the reliability of the monitoring equipment further investigated, thereby improving the efficiency of anomaly detection in offshore wind power foundation monitoring.

[0019] In particular, this invention obtains an interference index by calculating the difference between a predetermined interference feature characterization threshold and the actual interference feature characterization value. Based on the comparison between the interference index and the predetermined interference index threshold, the cause of the monitoring equipment reliability anomaly is determined. Then, differentiated processing strategies are matched according to different causes: the adjustment range of the weight ratio of the first health factor and the second health factor, and the adjustment range of the predetermined health feature characterization threshold are determined. This allows for adaptive adjustments to the monitoring judgment criteria for different environmental interference causes, thereby improving the pertinence of self-correction in the monitoring of the condition of offshore wind power foundation structures. Attached Figure Description

[0020] Figure 1This is a flowchart illustrating the steps of the offshore wind power foundation condition monitoring method according to an embodiment of the present invention. Figure 2 This is a system architecture diagram for monitoring the condition of offshore wind power foundations according to an embodiment of the present invention; Figure 3 This is a logic diagram for determining whether the stability of a target offshore wind power foundation structure meets the standard based on health characteristic characterization values, according to an embodiment of the present invention. Figure 4 This is a logic diagram illustrating how the reliability of a monitoring device is determined based on interference characteristic values ​​in an embodiment of the present invention. Figure 5 This is a logic diagram illustrating how an embodiment of the present invention determines the cause of reliability anomalies and the corresponding processing strategies based on the interference index. Detailed Implementation

[0021] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0022] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0023] Please see Figure 1 The diagram shown is a structural block diagram of a condition monitoring method for offshore wind power foundations according to an embodiment of the present invention. The present invention provides a condition monitoring method for offshore wind power foundations, comprising: Step S1: Collect health characteristic information of the target offshore wind power foundation structure within the historical period; Step S2: Analyze the health characteristic representation values ​​based on the health characteristic information; Step S3: Determine whether the stability of the target offshore wind power foundation structure meets the standard based on the comparison result between the health feature characterization value and the predetermined health feature characterization threshold. Step S4: When the stability meets the standard, collect the disturbance characteristic information of the target sea area environment within the historical period; Step S5: Analyze the interference feature characterization value based on the interference feature information; Step S6: Determine whether the reliability of the monitoring equipment is abnormal based on the comparison result between the interference feature characterization value and the predetermined interference feature characterization threshold. Step S7: Calculate the interference index in response to reliability anomalies; Step S8: Determine the cause of reliability anomaly based on the interference index, and match a corresponding processing strategy based on the cause. The processing strategy includes determining the adjustment range of the weight ratio of the first health factor and the second health factor, and determining the increase range of the predetermined health feature characterization threshold. The health characteristic information includes the ultrasonic wave propagation time and the eddy current induced voltage; the interference characteristic information includes the salinity and turbidity of seawater.

[0024] It is understandable that ultrasonic propagation time refers to the time difference between the moment the ultrasonic monitoring probe emits the initial pulse of an ultrasonic wave into the offshore wind power foundation material and the moment the probe receives the reflected echo pulse from the monitoring surface inside the foundation structure. The unit is microseconds. It can be acquired by the ultrasonic monitoring probe and its associated ultrasonic monitoring acquisition equipment. When the ultrasonic longitudinal wave propagates in a uniform, defect-free foundation material, the reflected wave propagation time is short and stable; when cracks exist inside, the longitudinal wave undergoes multiple reflections and refractions at the crack interface, resulting in a longer propagation path and an increased reflected wave propagation time.

[0025] It is understandable that eddy current induced voltage refers to the induced electromotive force generated by an eddy current monitoring probe on the surface of an offshore wind turbine foundation, measured in millivolts. It can be collected using an eddy current monitoring probe and its associated eddy current monitoring and acquisition equipment, originating from the electrical signal generated by electromagnetic induction between the probe and the metal surface of the offshore wind turbine foundation. When the offshore wind turbine foundation structure is free from corrosion and voids, the material medium is uniform, and the eddy current induced voltage is in a low and stable range. Corrosion occurs, leading to a thinner metal layer and changes in resistivity; voids occur, causing a sudden change in the eddy current propagation medium, all of which result in an increase in induced voltage.

[0026] It is understandable that seawater salinity is the mass fraction of dissolved salts per unit mass of seawater, collected by a conductivity-salinity meter, and measured in per mille (‰). Seawater salinity alters the velocity and density of sound in the medium, directly affecting the propagation speed and reflection path of ultrasonic longitudinal waves, leading to measurement deviations in ultrasonic wave propagation time. Simultaneously, salinity changes the conductivity of seawater, interfering with the electromagnetic environment of eddy current monitoring.

[0027] It is understandable that seawater turbidity refers to the degree to which suspended particulate matter in seawater scatters light, and is collected by a light scattering turbidimeter, measured in NTU. Turbidity is directly measured using the light scattering method, representing the concentration of suspended particulate matter in seawater. Higher seawater turbidity means that suspended particulate matter will scatter and absorb ultrasonic energy, altering the propagation attenuation characteristics of ultrasonic longitudinal waves and leading to measurement errors in ultrasonic wave propagation time. Simultaneously, particulate matter can adhere to the surface of the eddy current probe, changing the contact medium between the probe and the underlying structure, resulting in measurement deviations in the eddy current induced voltage.

[0028] In this embodiment, the single acquisition cycle is preset, and the preferred single acquisition cycle is 100 microseconds.

[0029] Please see Figure 2 As shown, it is a system architecture diagram for monitoring the status of offshore wind power infrastructure in an embodiment of the present invention, including: offshore wind turbines at the field acquisition end, offshore booster stations at the data transfer end, and onshore centralized control centers at the data analysis end.

[0030] It is understood that the embodiments of the present invention also include the construction of an algorithm for assessing the corrosion safety status of offshore wind power foundation structures, enabling remote centralized monitoring and precise assessment of the corrosion status of offshore wind power foundation structures. Specifically, this involves designing and developing underwater steel structure corrosion rate sensors, corrosion performance sensors, and monitoring sensing components such as cathodic protection reference electrodes; building a comprehensive monitoring device for corrosion safety characteristic parameters of each corrosion zone of the foundation structure; and achieving comprehensive collection of core corrosion safety characteristic parameters such as coating performance, corrosion rate, and protection potential of offshore wind power foundation structures, thereby improving the comprehensiveness of offshore wind power foundation structure status monitoring and safety assessment.

[0031] This invention provides a method for monitoring the condition of offshore wind power foundations. It collects health characteristic information of the target offshore wind power foundation over a historical period, analyzes the health characteristic values ​​based on this information, and determines whether the stability of the target offshore wind power foundation meets a standard based on a comparison of the health characteristic values ​​with a predetermined health characteristic threshold. If the stability meets the standard, it further collects interference characteristic information of the target marine environment over a historical period, analyzes the interference characteristic values ​​based on this information, and then determines whether the reliability of the monitoring equipment is abnormal based on a comparison of the interference characteristic values ​​with a predetermined interference characteristic threshold. Only when the reliability is abnormal is the difference between the predetermined interference characteristic threshold and the interference characteristic value calculated as an interference index. Based on the interference index, the cause of the reliability abnormality and the corresponding handling strategy are determined. This invention improves the reliability of monitoring the condition of offshore wind power foundations.

[0032] Specifically, the process of analyzing health characteristic representation values ​​based on the aforementioned health characteristic information includes: Extract the ultrasonic propagation time and eddy current induced voltage of the target offshore wind power foundation structure within a historical period; The first health factor is determined by calculating the ratio of a predetermined ultrasound propagation time threshold to the ultrasound propagation time. The second health factor is determined by calculating the ratio of a predetermined eddy current induced voltage threshold to the eddy current induced voltage. The health characteristic value is obtained by summing the first health factor and the second health factor according to a predetermined first weight ratio.

[0033] In this embodiment, the predetermined ultrasonic propagation duration threshold is preset. Specifically, ultrasonic propagation duration samples from five historical acquisition cycles are predetermined, and the predetermined ultrasonic propagation duration threshold is determined based on the average value of the ultrasonic propagation duration samples. The threshold is determined within the range of [70μs, 80μs], and an optimal value that meets 95% of the upper limit of the measured value is selected based on the design material of the offshore wind power foundation and the monitoring depth. In this embodiment, the predetermined ultrasonic propagation duration threshold is preferably 76 microseconds.

[0034] In this embodiment, the predetermined eddy current induced voltage threshold is preset. Specifically, eddy current induced voltage samples from five historical acquisition periods are predetermined, and the predetermined eddy current induced voltage threshold is determined based on the average value of the eddy current induced voltage samples. The threshold is determined within the range of [20mV, 25mV], and a preferred value that meets 97% of the upper limit of the measured value is selected based on the resistivity of the metal substrate of the offshore wind power foundation structure. In this embodiment, the predetermined eddy current induced voltage threshold is preferably 24 millivolts.

[0035] In this embodiment, the predetermined first weighting ratio is pre-set. Since the ultrasonic wave propagation time reflects internal structural defects and integrity, is sensitive to initial salinity stratification during scour, and exhibits greater monitoring signal fluctuations, it is assigned a weight of 0.4. The eddy current induced voltage reflects surface corrosion and interlayer delamination, is more directly affected by structural conditions, and is less affected by environmental interference, thus it is assigned a weight of 0.6. The predetermined first weighting ratio is determined comprehensively based on the differences in sensitivity of the two monitoring principles to structural health, the initial failure modes of offshore wind power foundations during scour, and the variance contribution rate of historical monitoring data. In this embodiment, the eddy current contribution rate is higher; therefore, the preferred predetermined first weighting ratio is 2:3, meaning the health characteristic characterization value equals 0.4 times the first health factor and 0.6 times the second health factor.

[0036] This invention extracts the ultrasonic propagation time and eddy current induced voltage of the offshore wind power foundation structure within a historical period, calculates the ratio of a predetermined threshold to actual parameters to obtain a first health factor and a second health factor, and then sums them according to a predetermined first weight ratio to obtain a health characteristic characterization value. By setting a threshold based on the sample mean of the historical collection period and selecting an optimal value for the upper limit ratio of the measured value according to the material and resistivity, the calculation of the health factor can have a numerical basis that fits the equipment monitoring characteristics and the actual structure, thereby improving the quantitative accuracy of the health status assessment of the offshore wind power foundation structure.

[0037] Specifically, the process of analyzing interference feature characterization values ​​based on the interference feature information includes: Extract the salinity and turbidity of seawater in the target marine environment within a historical period; The first interference factor is determined by calculating the ratio of the predetermined salinity threshold to the salinity. The second interference factor is determined by calculating the ratio of the predetermined turbidity threshold to the turbidity. The interference feature characterization value is obtained by summing the first interference factor and the second interference factor according to a predetermined second weight ratio.

[0038] In this embodiment, the predetermined salinity threshold is preset. Specifically, salinity samples from five historical collection periods are predetermined, and the predetermined salinity threshold is determined based on the average value of the salinity samples. The threshold is determined within the range of [30‰, 35‰]. Based on the environmental adaptation requirements of the conventional salinity range of the monitored sea area and offshore wind power monitoring, an optimal value that meets 96% of the upper limit of the measured value is selected. In this embodiment, the predetermined salinity threshold is preferably 34‰.

[0039] In this embodiment, the predetermined turbidity threshold is preset. Turbidity samples from five historical collection periods are predetermined, and the predetermined turbidity threshold is determined based on the average value of the turbidity samples. The threshold is determined within the range of [80 NTU, 90 NTU]. Based on the hydrological characteristics of the monitored sea area and the monitoring requirements of the probe to resist suspended matter interference, an optimal value that meets 95% of the upper limit of the measured value is selected. In this embodiment, the predetermined turbidity threshold is preferably 86 NTU.

[0040] In this embodiment, the predetermined second weighting ratio is pre-set. Since seawater salinity mainly changes the speed of ultrasonic propagation, it is a medium parameter interference with a small impact, and is assigned a weight of 0.3. Seawater turbidity directly causes particulate matter to adhere to the probe and the signal to abruptly decrease, which is a contact interference. It fluctuates greatly in the early stage of scouring and has a significant impact on monitoring reliability, and is assigned a weight of 0.7. The predetermined second weighting ratio is determined based on the type of interference, the mechanism of its impact on the probe, and the proportion of historical data variance. In this embodiment, turbidity interference is dominant, so the preferred predetermined second weighting ratio is 3:7, that is, the interference characteristic value is equal to the sum of 0.3 times the first interference factor and 0.7 times the second interference factor.

[0041] This invention collects seawater salinity and turbidity as interference characteristics after the stability of the offshore wind power foundation structure meets the standards. This allows the monitoring and analysis data to be consistent with the actual monitoring scenario. By selectively collecting two types of characteristic information—structural health and environmental interference—subsequent characteristic analysis and status determination can be based on data that matches the actual situation, thereby improving the adaptability of basic data for monitoring the status of offshore wind power foundation structures.

[0042] Please see Figure 3 As shown, this is a logic diagram for determining whether the stability of a target offshore wind power foundation structure meets the standard based on health feature characterization values ​​according to an embodiment of the present invention. The process of determining whether the stability of a target offshore wind power foundation structure meets the standard based on the comparison result of the health feature characterization values ​​and the predetermined health feature characterization threshold includes: If the health characteristic representation value is less than or equal to the predetermined health characteristic representation threshold, then the stability is determined to be non-compliant with the standard. If the health characteristic representation value is greater than the predetermined health characteristic representation threshold, then the stability is determined to meet the standard.

[0043] In this embodiment, the predetermined health feature characterization threshold is preset. The average value of the health feature characterization values ​​over 10 historical collection periods is predetermined. The predetermined health feature characterization threshold is determined based on the average value of the health feature characterization values ​​and is determined within the range [0.96, 1.16]. According to the design safety level of the offshore wind power foundation structure, an optimal value that meets 96% of the upper limit of the measured value is selected. In this embodiment, the predetermined health feature characterization threshold is preferably 1.11.

[0044] This invention determines the stability of offshore wind power foundations by comparing health characteristic values ​​with predetermined health characteristic thresholds. The standard is that the health characteristic value is greater than the predetermined health characteristic threshold. This provides a unified quantitative standard for determining the stability of offshore wind power foundations, thereby improving the standardization of the stability determination.

[0045] Please see Figure 4 As shown, this is a logic diagram for determining whether the reliability of a monitoring device is abnormal based on interference feature characterization values ​​according to an embodiment of the present invention. The process of determining whether the reliability of a monitoring device is abnormal based on the comparison result of the interference feature characterization values ​​and a predetermined interference feature characterization threshold includes: If the interference feature characterization value is less than or equal to the predetermined interference feature characterization threshold, then the reliability is determined to be abnormal. If the interference feature value is greater than the predetermined interference feature threshold, then the reliability is determined to be normal.

[0046] In this embodiment, the predetermined interference feature characterization threshold is preset. The average value of the interference feature characterization values ​​over 10 historical acquisition cycles is predetermined. The predetermined interference feature characterization threshold is determined based on the average value of the interference feature characterization values ​​and is determined within the range [0.96, 1.10]. According to the environmental interference characteristics of the monitored sea area and the monitoring accuracy requirements of the monitoring equipment, an optimal value that meets 97% of the upper limit of the measured value is selected. In this embodiment, the predetermined interference feature characterization threshold is preferably 1.07.

[0047] This invention compares the interference feature characterization value with a predetermined interference feature characterization threshold. The accuracy of the monitoring equipment measurement is determined when the interference feature characterization value is less than or equal to the predetermined interference feature characterization threshold. This provides a unified quantitative standard for determining the reliability of monitoring equipment in marine environments. By using the average value of interference feature characterization values ​​based on historical acquisition cycles as a basis, and combining the characteristics of the marine environment with the equipment monitoring accuracy to select an optimal threshold value, the determination criteria can be made to fit the actual monitoring environment of offshore wind power, thereby improving the adaptability of equipment reliability determination in the monitoring of offshore wind power foundation structures.

[0048] Specifically, the process of calculating the interference index includes: Extract interference feature values ​​and predetermined interference feature thresholds; Calculate the difference between the predetermined threshold for representing interference features and the value of the interference features; The difference is defined as the interference index.

[0049] It is understandable that the interference index is a positive value. The magnitude of the interference index directly corresponds to the actual degree of interference of the monitoring equipment by the marine environment. The larger the interference index, the higher the comprehensive interference of seawater salinity and turbidity on the monitoring equipment, and the higher the deviation between the monitoring data and the true value. The smaller the interference index, the lower the comprehensive interference of the environment on the monitoring equipment. The change of the interference index can intuitively reflect the trend of the strength of environmental interference.

[0050] This invention calculates the interference index by extracting the difference between the interference feature characterization value and the predetermined interference feature characterization threshold, transforming the comprehensive interference level of the marine environment on monitoring equipment into a specific and quantifiable numerical indicator. This enables the environmental interference level, which was originally difficult to judge intuitively, to form a clear numerical reference, thereby improving the accuracy of determining the environmental interference level of offshore wind power foundation structures on monitoring equipment.

[0051] Please see Figure 5 As shown, this is a logic diagram illustrating how the present invention determines the causes of reliability anomalies based on the interference index and the corresponding processing strategies. The process of determining the causes of reliability anomalies based on the interference index includes: If the disturbance index is less than or equal to the predetermined disturbance index threshold, it is determined that the slight fluctuations in the monitoring equipment are caused by seasonal water changes and nearshore siltation. If the interference index is greater than the predetermined interference index threshold, it is determined to be due to seawater pollution, strong winds and waves causing seabed sediment to surge and a large amount of suspended particulate matter to adhere to the probe surface.

[0052] In this embodiment, the predetermined interference index threshold is preset. The average value of the interference index over 15 historical acquisition cycles is predetermined. The predetermined interference index threshold is determined based on the average value of the interference index and is determined within the range [0.01, 0.11]. The preferred value that meets 85% of the upper limit of the measured value is selected according to the deviation tolerance range of the monitoring equipment. In this embodiment, the predetermined interference index threshold is preferably 0.09.

[0053] This invention compares the interference index with a predetermined interference index threshold to classify the causes of different equipment reliability anomalies. It can accurately distinguish between minor natural water environment changes and severe pollution or strong interference from wind and waves, providing a clear quantitative basis for determining the cause of the anomaly and thus improving the targeting of subsequent processing strategies.

[0054] Specifically, the process of matching the corresponding processing strategy based on the cause of the reliability anomaly includes: If the cause is slight fluctuations in the monitoring equipment due to seasonal water changes and nearshore siltation, then determine the adjustment range of the weight ratio of the first health factor to the second health factor. If the cause is seawater pollution, strong winds and waves causing seabed sediment to churn and a large amount of suspended particulate matter to adhere to the probe surface, then the predetermined increase in the health characteristic characterization threshold is determined.

[0055] Understandably, by determining the adjustment range of the weight ratio between the first and second health factors, it is possible to adjust the proportion of different health factors in the structural stability assessment, correct the monitoring bias caused by seasonal water changes and siltation, and make the assessment results consistent with the actual health status of offshore wind power foundations.

[0056] Understandably, by determining the increase in the predetermined health characteristic characterization threshold, the benchmark for judging structural stability can be improved, offsetting the monitoring data deviation caused by severe environmental interference such as seawater pollution and probe adhering particles caused by strong winds and waves. This allows the judgment standard to adapt to the monitoring conditions in harsh marine environments and reduces the risk of misjudging the structural state due to strong environmental interference.

[0057] Through the synergistic effect of processing strategies, this invention can take differentiated monitoring and judgment correction measures for different degrees of marine environmental disturbance. It optimizes the adaptability of the monitoring system from two aspects: factor weight allocation and threshold adjustment. This allows the judgment logic of the monitoring system to dynamically adapt to the complex and ever-changing marine monitoring environment, and continuously ensures that the monitoring results of the offshore wind power foundation structure status are consistent with the actual situation.

[0058] Specifically, the determination of the increase range of the predetermined health feature characterization threshold is wherein the increase range of the predetermined health feature characterization threshold is positively correlated with the interference index.

[0059] In this embodiment, the specific method for determining the increase range of the predetermined health characteristic representation threshold is as follows: ;in, The adjusted health characteristic characterization threshold, The health characteristic representation threshold is determined before adjustment and is within the range [0.96, 1.16]. In this embodiment, the predetermined health characteristic representation threshold is preferably 1.11. The real-time interference index is determined within the interval [0.01, 0.09]. The adjustment coefficient is determined based on a comprehensive assessment of the initial environmental disturbance intensity of the monitored sea area during scour, the attenuation coefficient of the probe signal due to seawater turbidity, the amplification factor of ultrasonic wave propagation deviation, and the safety level of the primary hydraulic structures of offshore wind power foundations. The example focuses on the initial environmental characteristics of scour pit formation in typical nearshore wind power areas, and combines historical monitoring data with deviation compensation fitting calculations. The optimal adjustment coefficient is selected in this example. It is 10.

[0060] This invention establishes a quantitative adjustment formula that correlates health characteristic representation threshold with interference index, precisely binding the increase in health characteristic representation threshold with the actual degree of environmental interference. This allows the adjustment of health characteristic representation threshold to dynamically adapt to the actual situation of environmental interference, ensuring that the judgment standard for the stability of offshore wind power foundation structure always conforms to the real-time changes in the marine environment, thereby improving the adaptability of monitoring and judgment standards to marine environmental interference.

[0061] Specifically, the adjustment range of the weight ratio of the first health factor to the second health factor is determined, wherein the adjustment range of the weight ratio is related to the interference index.

[0062] In this embodiment, the formula for calculating the adjustment range of the weight ratio of the first health factor to the second health factor is as follows: ;in, The adjusted weights for the first health factor. The adjusted weighting of the second health factor. The weight of the first health factor before adjustment is given, and the preferred value in this example is 0.4. The value is the real-time interference index, determined within the range [0.09, 0.11]. The preferred value for this embodiment is 0.10.

[0063] This invention establishes a quantitative adjustment formula for the weight of the first health factor and the interference index, binding the adjustment range of the weight ratio to the actual environmental interference level. This allows the adjustment of the health factor weight to be dynamically adapted to the actual environmental interference, thereby improving the adaptability of the monitoring and judgment weight allocation to marine environmental interference and reducing the interference of environmental interference on the judgment results of monitoring equipment.

[0064] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for condition monitoring of offshore wind power foundation structures, characterized in that, include: Collect health characteristic information of target offshore wind power foundation structures within historical periods; Analyze the health characteristic representation values ​​based on the aforementioned health characteristic information; Based on the comparison results between the health feature characterization values ​​and the predetermined health feature characterization thresholds, it is determined whether the stability of the target offshore wind power foundation structure meets the standard. When the stability meets the standard, the disturbance characteristic information of the target sea area environment within the historical period is collected; Analyze the interference feature characterization values ​​based on the aforementioned interference feature information; The reliability of the monitoring equipment is determined based on the comparison between the interference feature characterization value and the predetermined interference feature characterization threshold. Calculate the interference index in response to reliability anomalies; The cause of the reliability anomaly is determined based on the interference index, and a corresponding processing strategy is matched based on the cause. The processing strategy includes determining the adjustment range of the weight ratio of the first health factor and the second health factor, and determining the increase range of the predetermined health feature characterization threshold. The health characteristic information includes the ultrasonic wave propagation time and the eddy current induced voltage; the interference characteristic information includes the salinity and turbidity of seawater.

2. The method for monitoring the condition of offshore wind power foundations according to claim 1, characterized in that, The process of analyzing health characteristic representation values ​​based on the aforementioned health characteristic information includes: Extract the ultrasonic propagation time and eddy current induced voltage of the target offshore wind power foundation structure within a historical period; The first health factor is determined by calculating the ratio of a predetermined ultrasound propagation time threshold to the ultrasound propagation time. The second health factor is determined by calculating the ratio of a predetermined eddy current induced voltage threshold to the eddy current induced voltage. The health characteristic value is obtained by summing the first health factor and the second health factor according to a predetermined first weight ratio.

3. The method for monitoring the condition of offshore wind power foundation structures according to claim 1, characterized in that, The process of analyzing interference feature characterization values ​​based on the aforementioned interference feature information includes: Extract the salinity and turbidity of seawater in the target marine environment within a historical period; The first interference factor is determined by calculating the ratio of the predetermined salinity threshold to the salinity. The second interference factor is determined by calculating the ratio of the predetermined turbidity threshold to the turbidity. The interference feature characterization value is obtained by summing the first interference factor and the second interference factor according to a predetermined second weight ratio.

4. The method for monitoring the condition of offshore wind power foundations according to claim 1, characterized in that, The process of determining whether the stability of the target offshore wind power foundation structure meets the standard based on the comparison results of the health feature characterization values ​​and the predetermined health feature characterization thresholds includes: If the health characteristic representation value is less than or equal to the predetermined health characteristic representation threshold, then the stability is determined to be non-compliant with the standard. If the health characteristic representation value is greater than the predetermined health characteristic representation threshold, then the stability is determined to meet the standard.

5. The method for monitoring the condition of offshore wind power foundation structures according to claim 1, characterized in that, The process of determining whether the reliability of the monitoring equipment is abnormal based on the comparison result of the interference feature characterization value and the predetermined interference feature characterization threshold includes: If the interference feature characterization value is less than or equal to the predetermined interference feature characterization threshold, then the reliability is determined to be abnormal. If the interference feature value is greater than the predetermined interference feature threshold, then the reliability is determined to be normal.

6. The method for monitoring the condition of offshore wind power foundations according to claim 1, characterized in that, The process of calculating the interference index includes: Extract interference feature values ​​and predetermined interference feature thresholds; Calculate the difference between the predetermined threshold for representing interference features and the value of the interference features; The difference is defined as the interference index.

7. The method for monitoring the condition of offshore wind power foundations according to claim 1, characterized in that, The process of determining the cause of reliability anomalies based on the interference index includes: If the disturbance index is less than or equal to the predetermined disturbance index threshold, it is determined that the slight fluctuations in the monitoring equipment are caused by seasonal water changes and nearshore siltation. If the interference index is greater than the predetermined interference index threshold, it is determined to be due to seawater pollution, strong winds and waves causing seabed sediment to surge and a large amount of suspended particulate matter to adhere to the probe surface.

8. The method for monitoring the condition of offshore wind power foundation structures according to claim 7, characterized in that, The process of matching corresponding handling strategies based on the causes of the reliability anomalies includes: If the cause is slight fluctuations in the monitoring equipment due to seasonal water changes and nearshore siltation, then determine the adjustment range of the weight ratio of the first health factor to the second health factor. If the cause is seawater pollution, strong winds and waves causing seabed sediment to churn and a large amount of suspended particulate matter to adhere to the probe surface, then the predetermined increase in the health characteristic characterization threshold is determined.

9. The method for monitoring the condition of offshore wind power foundation structures according to claim 8, characterized in that, The predetermined increase range of the health feature characterization threshold is determined, wherein the increase range of the predetermined health feature characterization threshold is positively correlated with the interference index.

10. The method for monitoring the condition of offshore wind power foundations according to claim 8, characterized in that, The adjustment range for determining the weight ratio of the first health factor to the second health factor is wherein the adjustment range of the weight ratio is related to the interference index.

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