Health and safety management and control system and method for floating type offshore wind power equipment

Abstract

The invention discloses a health and safety management and control system and method for floating type offshore wind power equipment. The health and safety management and control system comprises a monitoring system module, a threshold early warning module, an in-service detection data analysis module, a structure health state evaluation module, an operation and maintenance suggestion module, an equipment management module and a three-dimensional visual display module. Parameters such as vibration, postures and strain of the floating foundation and the tower drum are collected in real time through a multi-source sensor, a three-dimensional visual model is established to achieve dynamic monitoring, a three-level early warning mechanism is adopted to achieve closed-loop management, structural health assessment is conducted in combination with a simulation model and actually measured data, and intelligent operation and maintenance suggestions are generated. According to the invention, the problems of difficult real-time monitoring, delayed early warning, low operation and maintenance efficiency and the like of the floating type offshore wind power equipment in a complex marine environment are solved, and the structural safety and the operation and maintenance efficiency are remarkably improved.

Description

Technical Field

[0001] This invention patent belongs to the field of offshore wind power technology, specifically relating to a health and safety management system and method for floating offshore wind power equipment. Background Technology

[0002] In the current health management system for offshore wind power, in-service monitoring data is fragmented and scattered, and manual inspection records are disconnected from real-time monitoring systems, weakening the ability to analyze the temporal correlation of damage evolution. Operation and maintenance decisions rely heavily on static experience rules, lacking judgment based on real-time operational data analysis, making it difficult to match the time-varying characteristics of the marine environment. Furthermore, the management of monitoring equipment suffers from scattered records and delayed calibration, leading to the loss of control over critical equipment such as corrosion-sensitive sensors. The synergistic failure of these three factors creates a systemic weakness, hindering the effectiveness of safety management throughout the entire lifecycle of floating wind farms.

[0003] Considering the short operation and maintenance window and the difficulty of inspection and maintenance of floating offshore wind turbines, it is necessary to propose a health rights management platform suitable for floating offshore wind power equipment. This platform should integrate main structure equipment safety monitoring, operation and maintenance data processing, intelligent early warning, and online sensor management to help floating offshore wind power equipment operate safely and stably. Summary of the Invention

[0004] The purpose of this invention is to provide a health and safety management system and method for floating offshore wind power equipment. Its core innovation lies in solving the problems of poor adaptability to the marine environment, data fragmentation, and decision lag through multi-module collaboration.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] A health and safety management system for floating offshore wind power equipment includes a monitoring system module, a threshold early warning module, an in-service testing data analysis module, a structural health status assessment module, an operation and maintenance suggestion module, an equipment management module, and a three-dimensional visualization display module.

[0007] The monitoring system module is used to collect and process data from various monitoring devices at key parts of floating offshore wind power equipment in real time, and present the overall operating status of the machine to maintenance personnel through intuitive charts and curves.

[0008] The threshold warning module is used to issue an alarm command when the parameters of each monitored content obtained by the monitoring system module are higher than the set threshold, so as to remind the operation and maintenance personnel to carry out maintenance.

[0009] The in-service inspection data analysis module is used to statistically analyze the maintenance records of floating offshore wind power equipment throughout its entire life cycle.

[0010] The structural health status assessment module assesses the health status of each floating offshore wind power equipment based on information from threshold early warning and in-service testing data analysis modules.

[0011] The maintenance suggestion module is used to combine the data collected by the monitoring system module and the in-service testing data analysis module to identify potential problems and formulate inspection and maintenance suggestions.

[0012] The equipment management module is used to manage the files of the equipped monitoring equipment, and record its equipment information, operating status and equipment calibration status;

[0013] The aforementioned 3D visualization module refers to the use of BIM technology to model floating offshore wind power equipment and monitoring devices, enabling the display of structural status and real-time interaction of sensor information.

[0014] A further improvement of the present invention is that the monitoring system module includes a multi-source data acquisition unit, a data analysis unit, and a data fusion unit;

[0015] The multi-source data acquisition unit is equipped with: 1) a floating foundation monitoring sensor group: a six-degree-of-freedom motion sensor, a radar level gauge, an empty tank level gauge, a reference electrode, and a dynamic strain gauge; 2) a tower monitoring sensor group: a bolt angle data sensor, a flange gap sensor, a dual-axis accelerometer, an inclinometer, a dynamic strain gauge, and an attitude sensor.

[0016] The data analysis unit includes data preprocessing and feature extraction functions; data preprocessing is divided into data cleaning, signal denoising, data standardization, and time alignment.

[0017] The data fusion unit synchronizes multi-source heterogeneous data through a time alignment algorithm and outputs a structured state matrix with a unified timestamp.

[0018] A further improvement of the present invention is that the data analysis unit specifically includes:

[0019] Data cleaning

[0020] Outlier handling: Statistical methods are used to identify and correct outlier data when data point x... i Satisfy |x i If -μ|>3σ, μ is the window mean and σ is the standard deviation, then it is considered an outlier and replaced by linear interpolation or median filtering. If data is missing, time series interpolation or compensation based on the correlation of adjacent sensors is used.

[0021] Signal Denoising

[0022] The Butterworth filter is used to denoise all monitoring data, removing high-frequency noise. Its transfer function expression is as follows:

[0023]

[0024] Where s is the signal frequency, s c The cutoff frequency is N, and the filter order is N.

[0025] Data standardization

[0026] For heterogeneous data from different sensors, Z-score normalization is used to eliminate the influence of dimensions. The normalization formula is:

[0027]

[0028] Where μ and σ are the mean and standard deviation of the feature, respectively;

[0029] After monitoring data preprocessing, feature values ​​are extracted from the data, and time-domain feature methods are used to mine key indicators related to equipment health status, including the mean, variance, peak factor and kurtosis information of the data.

[0030] A further improvement of the present invention is that the threshold warning module includes:

[0031] Set threshold values ​​for each key monitoring parameter;

[0032] A three-level early warning mechanism is set up based on the degree to which the monitored parameter values ​​deviate from the set values;

[0033] Based on the warning level, set the processing time limit and generate an automatic maintenance work order.

[0034] A further improvement of the present invention is that the in-service testing data analysis module includes:

[0035] Test data entry module: Enters the record of each scheduled inspection based on the equipment type, test items and test time;

[0036] Data visualization: Quantitative test data of each component at different times are presented in an intuitive form using line charts and pie charts, highlighting the trend of change and providing data support for user operation and maintenance.

[0037] A further improvement of the present invention is that the structural health status assessment module qualitatively assesses the health status of components based on the results of threshold warnings and the data trends of in-service testing data, classifying them into healthy, sub-healthy, and unhealthy.

[0038] A further improvement of the present invention is that the operation and maintenance suggestion module associates threshold early warning data and in-service detection data analysis module, and formulates operation and maintenance strategies based on the data analysis results.

[0039] A further improvement of the present invention is that the device management module includes:

[0040] Equipment file management: Establish a detailed file for each monitoring device, covering basic information such as equipment model, specifications, manufacturer, purchase date, installation location, and warranty period;

[0041] Equipment operation status monitoring: Monitor the stability of equipment data transmission and collect data on packet loss rate and latency. If the packet loss rate exceeds 5% for one consecutive hour or the latency exceeds the set threshold, a data transmission failure will be indicated, and network lines and communication modules will be investigated in a timely manner.

[0042] A further improvement of the present invention is that the three-dimensional visualization display module includes:

[0043] BIM high-precision modeling is used to model the main components of floating offshore wind turbines, accurately restore the structural features of the equipment, and locate and arrange monitoring sensors in the model;

[0044] Threshold exceeding warning: When the monitoring result of a certain sensor exceeds the preset threshold, the system will automatically trigger a high-brightness warning mechanism;

[0045] Sensor abnormal status visualization: When a sensor experiences a communication failure or fails to display data for a set period of time, a communication failure report will be displayed on the interface for that sensor, and the corresponding sensor location will be distinguished by color change.

[0046] A method for health and safety management of floating offshore wind power equipment, comprising:

[0047] The monitoring system module collects and processes data from various monitoring devices at key parts of the floating offshore wind power equipment in real time, and presents the overall operating status of the machine to the operation and maintenance personnel through intuitive charts and curves.

[0048] The threshold warning module issues an alarm command when the parameters of each monitored content acquired by the monitoring system module are higher than the set threshold, reminding the operation and maintenance personnel to carry out maintenance.

[0049] The in-service inspection data analysis module compiles maintenance records for floating offshore wind power equipment throughout its entire lifecycle.

[0050] The structural health status assessment module evaluates the health status of each floating offshore wind power equipment based on information from the threshold early warning and in-service inspection data analysis module.

[0051] The maintenance suggestion module combines data collected from the monitoring system module and the in-service testing data analysis module to identify potential problems and formulate inspection and maintenance suggestions.

[0052] The equipment management module will manage the files of the equipped monitoring equipment, recording its equipment information, operating status, and equipment calibration status;

[0053] The 3D visualization module uses BIM technology to model floating offshore wind power equipment and monitoring devices, enabling the display of structural status and real-time interaction of sensor information.

[0054] Compared with the prior art, the present invention has at least the following beneficial technical effects:

[0055] To address the fragmented and discrete nature of data and the simplistic operation and maintenance strategies in offshore wind power safety management systems, a health and safety management platform has been developed. This platform integrates intelligent monitoring, threshold early warning, in-service inspection data updates, structural health status assessment, operation and maintenance suggestion modules, equipment management, and 3D visualization capabilities. Through the fusion of monitoring data and manual maintenance records, the system enables automatic equipment early warning and intelligent operation and maintenance suggestions. It establishes an environment-adaptive dynamic decision-making mechanism, allowing operation and maintenance strategies to intelligently adjust according to sea conditions, forming a complete "monitoring-early warning-response" health and safety management mechanism. Attached Figure Description

[0056] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0057] Figure 1 A schematic diagram of a floating offshore wind power health and safety management system;

[0058] Figure 2 A schematic diagram of the monitoring system module of the health and safety management system for floating offshore wind power equipment;

[0059] Figure 3 A schematic diagram of the data acquisition unit of the monitoring system module of the health and safety management platform for floating offshore wind power equipment;

[0060] Figure 4 This is a schematic diagram of the in-service data analysis module of the health and safety management platform for floating offshore wind power equipment. Detailed Implementation

[0061] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0062] In the description of this invention, it should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0063] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0064] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0065] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0066] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0067] Example 1

[0068] like Figure 1 As shown, the present invention provides a health and safety management system for floating offshore wind power equipment, including a monitoring device module, a threshold early warning module, an in-service testing data analysis module, a structural health status assessment module, an operation and maintenance suggestion module, an equipment management module, and a three-dimensional visualization display module.

[0069] The monitoring system module is used to collect and process data from various monitoring devices at key parts of floating offshore wind power equipment in real time, and present the overall operating status of the machine to maintenance personnel through intuitive charts, curves and other means.

[0070] The threshold warning module is used to issue an alarm command when the parameters of each monitored content obtained by the monitoring system module are higher than the set threshold, so as to remind the operation and maintenance personnel to carry out maintenance.

[0071] The in-service inspection data analysis module is used to statistically analyze the maintenance records of floating offshore wind power equipment throughout its entire life cycle.

[0072] The structural health status assessment module evaluates the health status of floating offshore wind power equipment based on information from threshold early warning and in-service testing data analysis modules.

[0073] The maintenance suggestion module is used to combine data collected by the monitoring system module and the in-service testing data analysis module to identify potential problems and formulate inspection and maintenance suggestions.

[0074] The equipment management module is used to manage the files of the equipped monitoring equipment, and record its equipment information, operating status, and equipment calibration information.

[0075] The aforementioned 3D visualization module refers to the use of BIM technology to model floating offshore wind power equipment and monitoring devices, enabling the display of structural status and real-time interaction of sensor information.

[0076] Example 2

[0077] Reference Figure 2 The present invention provides a monitoring system module in a health and safety management system for floating offshore wind power equipment, comprising a data acquisition unit, a data analysis unit, and a data fusion unit, such as... Figure 2 As shown.

[0078] In this embodiment, the data acquisition unit mainly utilizes monitoring sensors to collect various key parameters of the floating foundation and tower structure during operation, including data such as the floating unit's operating attitude, draft, structural corrosion, ballast tank tightness, and flange clearance. Figure 3 As shown.

[0079] In this embodiment, a six-free motion sensor is used to monitor the six-free operating parameters of the floating foundation, including sway, pitch, heave, roll, pitch and yaw, thereby simulating the overall operating attitude of the machine.

[0080] In this embodiment, radar-based water level is used to monitor the height of the top of the floating foundation column from the sea level, thereby determining the draft of the floating platform. It is usually installed at the top surface of each column.

[0081] In this embodiment, the empty tank level gauge is used to monitor the liquid level in the ballast tank (ballast adjustment tank) inside the floating foundation, thereby assessing the tank tightness level.

[0082] In this embodiment, a reference electrode is used to monitor the potential difference near the draft of the floating foundation, thereby assessing the degree of corrosion of the structure.

[0083] In this embodiment, a bolt angle sensor is used to monitor changes in the bolt angle at the tower connection, thereby analyzing and evaluating the degree of bolt loosening.

[0084] In this embodiment, the tilt meter is used to monitor the tilt angle of the tower, thereby assessing and analyzing the overall stability level of the machine.

[0085] In this embodiment, a dual-axis accelerometer is used to monitor the vibration acceleration values ​​in the tower and floating key structural locations, thereby assessing and analyzing the stress level of the structure.

[0086] In this embodiment, dynamic strain gauges are used to monitor the strain levels in weak areas and corner areas of the tower and floating foundation structure, thereby assessing and analyzing the deformation level and safety of the structure.

[0087] All the data collected by the monitoring devices are transmitted to the data analysis unit through the transmission channel. The raw data is filtered using the data preprocessing and feature extraction methods mentioned in claim 2 to obtain data that can truly reflect the structural motion response.

[0088] In this embodiment, the data fusion unit uses the Dynamic Time Warping (DTW) algorithm to align the timestamps of multi-sensor, multi-source, heterogeneous data, generating a structured state matrix with dimensions of (time × sensor × feature value).

[0089] Example 3

[0090] In this embodiment, the threshold early warning module in the health and safety management system for floating offshore wind power equipment provided by the present invention sets a three-level early warning mechanism and sets processing time limits according to the early warning level. Taking the rolling of a floating foundation as an example, the maximum safety threshold is specified as 10°, and its early warning level classification is shown in Table 1 below:

[0091]

[0092] In this embodiment, all other key monitoring parameters are equipped with safety thresholds. When the real-time monitored value is between 0 and 10% higher than the safety threshold, the system issues a Level 1 warning; when it is between 10 and 20% higher, the system issues a Level 2 warning; and when it exceeds the safety threshold by more than 20%, a Level 3 warning is issued. The specific safety threshold settings are determined based on the actual unit and are not listed in this patent.

[0093] Example 4

[0094] In this embodiment, the in-service inspection data analysis module of the floating offshore wind power equipment health and safety management system provided by the present invention mainly performs in-service data statistics on the blades, gearbox, generator, tower, and floating foundation of the main components of the overall structure. Data is imported and statistically analyzed for each inspection item during routine inspections and maintenance. Specific inspection contents are as follows: Figure 4 As shown.

[0095] In this embodiment, the input data includes inspection time, inspectors, results of each inspection item, and on-site photos. The results are categorized into quantitative (such as quantifiable data like angle, temperature, resistance, and perpendicularity) or qualitative (non-quantifiable data like appearance, internal cavity, oil quality, and weld seams, simply indicating normal or abnormal). Safety thresholds are set for each quantitative data point, and the system automatically determines whether it is normal.

[0096] In this embodiment, big data analytics is used to analyze the data. For example, quantitative data is presented to the control room personnel in the form of a line graph, and the safety status is analyzed by observing the trend of its changes over time.

[0097] Example 5

[0098] In this embodiment, the structural health status assessment module of the floating offshore wind power equipment health and safety management system provided by the present invention uses the results of threshold early warning and in-service testing data analysis to qualitatively assess the safety status of each component of the unit, classifying it into healthy, sub-healthy and unhealthy levels.

[0099] When all monitoring parameters are not higher than the set safety threshold and the most recent in-service testing data has no "abnormal" results, it is judged as healthy; when the component issues a level one warning or the most recent in-service testing data shows an abnormal result, it is judged as sub-healthy; when the component issues a level two or level three warning, it is judged as unhealthy.

[0100] Example 6

[0101] In this embodiment, the operation and maintenance suggestion module in the health and safety management system of a floating offshore wind power equipment provided by the present invention, together with the threshold early warning module and the in-service detection data analysis module, provides operation and maintenance strategies for the whole machine. The processing method and corresponding response time are shown in the table below.

[0102] Health Level Response time Handling measures Sub-health ≤72h Remote parameter adjustment, next inspection and handling Unhealthy (Level 2) ≤24h Specialized testing, temporary handling Unhealthy (Level 3) ≤4h Shutdown and replacement of spare parts

[0103] Example 7

[0104] In this embodiment, the equipment management module in the health and safety management system of a floating offshore wind power equipment provided by the present invention refers to the unified management of the operating status and equipment information of various monitoring sensors.

[0105] In this embodiment, a device file information database is established for each sensor, including basic information such as device model, specifications, manufacturer, production date, installation time, installation location, warranty period, and calibration date. When maintenance personnel click on the corresponding sensor on the system interface, the corresponding device information will pop up.

[0106] In this embodiment, the stability of data transmission from each sensor is monitored, and data such as packet loss rate and latency are collected. If the packet loss rate exceeds 5% for one consecutive hour, or the data latency exceeds 10 seconds, a sensor fault is reported, reminding maintenance personnel to promptly check the lines, network, communication, or equipment.

[0107] Example 8

[0108] In this embodiment, the three-dimensional visualization module in the health and safety management system of a floating offshore wind power equipment provided by the present invention performs high-precision BIM modeling of each key component of the unit (blade, gearbox, generator, tower, floating foundation) and adds sensors at the corresponding positions of the model. The three-dimensional stereoscopic effect can be displayed in real time on the system interface.

[0109] In this embodiment, the BIM model is connected to real-time monitoring data. When the threshold warning module alarms, the system automatically triggers a high-brightness warning mechanism: Level 1 flashing yellow light, Level 2 flashing orange light, and Level 3 flashing red light.

[0110] In this embodiment, the three-dimensional visualization display module accesses data from the structural health status assessment module. When the device's assessment status is sub-healthy, the sensor displays in yellow; when it is unhealthy, the sensor displays in red.

[0111] In this embodiment, the 3D visualization module accesses data from the device management module. When a sensor reports a fault, the corresponding sensor location is displayed in black.

[0112] Example 9

[0113] like Figure 1 As shown, the present invention provides a method for health and safety management of floating offshore wind power equipment, comprising:

[0114] The monitoring system module collects and processes data from various monitoring devices at key parts of the floating offshore wind power equipment in real time, and presents the overall operating status of the machine to the operation and maintenance personnel through intuitive charts and curves.

[0115] The threshold warning module issues an alarm command when the parameters of each monitored content acquired by the monitoring system module are higher than the set threshold, reminding the operation and maintenance personnel to carry out maintenance.

[0116] The in-service inspection data analysis module compiles maintenance records for floating offshore wind power equipment throughout its entire lifecycle.

[0117] The structural health status assessment module evaluates the health status of each floating offshore wind power equipment based on information from the threshold early warning and in-service inspection data analysis module.

[0118] The maintenance suggestion module combines data collected from the monitoring system module and the in-service testing data analysis module to identify potential problems and formulate inspection and maintenance suggestions.

[0119] The equipment management module will manage the files of the equipped monitoring equipment, recording its equipment information, operating status, and equipment calibration status;

[0120] The 3D visualization module uses BIM technology to model floating offshore wind power equipment and monitoring devices, enabling the display of structural status and real-time interaction of sensor information.

[0121] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the scope of the invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0122] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A health and safety management system for floating offshore wind power equipment, characterized in that, It includes a monitoring system module, a threshold early warning module, an in-service inspection data analysis module, a structural health status assessment module, an operation and maintenance suggestion module, an equipment management module, and a 3D visualization display module; The monitoring system module is used to collect and process data from various monitoring devices at key parts of floating offshore wind power equipment in real time, and present the overall operating status of the machine to maintenance personnel through intuitive charts and curves. The threshold early warning module is used to issue an alarm command when the parameters of each monitored content obtained by the monitoring system module are higher than the set threshold, so as to remind the operation and maintenance personnel to carry out maintenance. The in-service inspection data analysis module is used to statistically analyze the maintenance records of floating offshore wind power equipment throughout its entire life cycle. The structural health status assessment module assesses the health status of each floating offshore wind power equipment based on information from threshold early warning and in-service testing data analysis modules. The maintenance suggestion module is used to combine the data collected by the monitoring system module and the in-service testing data analysis module to identify potential problems and formulate inspection and maintenance suggestions. The equipment management module is used to manage the files of the equipped monitoring equipment, and record its equipment information, operating status and equipment calibration status; The aforementioned 3D visualization module refers to the use of BIM technology to model floating offshore wind power equipment and monitoring devices, enabling the display of structural status and real-time interaction of sensor information.

2. The health and safety management system for floating offshore wind power equipment according to claim 1, characterized in that, The monitoring system module includes a multi-source data acquisition unit, a data analysis unit, and a data fusion unit; The multi-source data acquisition unit is equipped with: 1) a floating foundation monitoring sensor group: a six-degree-of-freedom motion sensor, a radar level gauge, an empty tank level gauge, a reference electrode, and a dynamic strain gauge; 2) a tower monitoring sensor group: a bolt angle data sensor, a flange gap sensor, a dual-axis accelerometer, an inclinometer, a dynamic strain gauge, and an attitude sensor. The data analysis unit includes data preprocessing and feature extraction functions; Data preprocessing is divided into data cleaning, signal denoising, data standardization, and time alignment. The data fusion unit synchronizes multi-source heterogeneous data through a time alignment algorithm and outputs a structured state matrix with a unified timestamp.

3. The health and safety management system for floating offshore wind power equipment according to claim 2, characterized in that, The data analysis unit specifically includes: Data cleaning Outlier handling: Statistical methods are used to identify and correct outlier data when data point x... i Satisfy |x i If -μ|>3σ, μ is the window mean and σ is the standard deviation, then it is considered an outlier and replaced by linear interpolation or median filtering. If data is missing, time series interpolation or compensation based on the correlation of adjacent sensors is used. Signal Denoising The Butterworth filter is used to denoise all monitoring data, removing high-frequency noise. Its transfer function expression is as follows: Where s is the signal frequency, s c The cutoff frequency is N, and the filter order is N. Data standardization For heterogeneous data from different sensors, Z-score normalization is used to eliminate the influence of dimensions. The normalization formula is: Where μ and σ are the mean and standard deviation of the feature, respectively; After monitoring data preprocessing, feature values ​​are extracted from the data, and time-domain feature methods are used to mine key indicators related to equipment health status, including the mean, variance, peak factor and kurtosis information of the data.

4. The health and safety management system for floating offshore wind power equipment according to claim 1, characterized in that, The threshold warning module includes: Set threshold values ​​for each key monitoring parameter; A three-level early warning mechanism is set up based on the degree to which the monitored parameter values ​​deviate from the set values; Based on the warning level, set the processing time limit and generate an automatic maintenance work order.

5. The health and safety management system for floating offshore wind power equipment according to claim 1, characterized in that, The in-service testing data analysis module includes: Test data entry module: Enters the record of each scheduled inspection based on the equipment type, test items and test time; Data visualization: Quantitative test data of each component at different times are presented in an intuitive form using line charts and pie charts, highlighting the trend of change and providing data support for user operation and maintenance.

6. The health and safety management system for floating offshore wind power equipment according to claim 1, characterized in that, The structural health status assessment module qualitatively assesses the health status of components based on the results of threshold warnings and the data trends of in-service testing data, classifying them into healthy, sub-healthy, and unhealthy.

7. The health and safety management system for floating offshore wind power equipment according to claim 1, characterized in that, The operation and maintenance suggestion module associates threshold early warning data with the in-service detection data analysis module, and formulates operation and maintenance strategies based on the data analysis results.

8. The health and safety management system for floating offshore wind power equipment according to claim 1, characterized in that, The device management module includes: Equipment file management: Establish a detailed file for each monitoring device, covering basic information such as equipment model, specifications, manufacturer, purchase date, installation location, and warranty period; Equipment operation status monitoring: Monitor the stability of equipment data transmission and collect data on packet loss rate and latency. If the packet loss rate exceeds 5% for one consecutive hour or the latency exceeds the set threshold, a data transmission failure will be indicated, and network lines and communication modules will be investigated in a timely manner.

9. The health and safety management system for floating offshore wind power equipment according to claim 1, characterized in that, The 3D visualization module includes: BIM high-precision modeling is used to model the main components of floating offshore wind turbines, accurately restore the structural features of the equipment, and locate and arrange monitoring sensors in the model; Threshold exceeding warning: When the monitoring result of a certain sensor exceeds the preset threshold, the system will automatically trigger a high-brightness warning mechanism; Sensor abnormal status visualization: When a sensor experiences a communication failure or fails to display data for a set period of time, a communication failure report will be displayed on the interface for that sensor, and the corresponding sensor location will be distinguished by color change.

10. A method for health and safety management of floating offshore wind power equipment, characterized in that, include: The monitoring system module collects and processes data from various monitoring devices at key parts of the floating offshore wind power equipment in real time, and presents the overall operating status of the machine to the operation and maintenance personnel through intuitive charts and curves. The threshold warning module issues an alarm command when the parameters of each monitored content acquired by the monitoring system module are higher than the set threshold, reminding the operation and maintenance personnel to carry out maintenance. The in-service inspection data analysis module compiles maintenance records for floating offshore wind power equipment throughout its entire lifecycle. The structural health status assessment module evaluates the health status of each floating offshore wind power equipment based on information from the threshold early warning and in-service inspection data analysis module. The maintenance suggestion module combines data collected from the monitoring system module and the in-service testing data analysis module to identify potential problems and formulate inspection and maintenance suggestions. The equipment management module will manage the files of the equipped monitoring equipment, recording its equipment information, operating status, and equipment calibration status; The 3D visualization module uses BIM technology to model floating offshore wind power equipment and monitoring devices, enabling the display of structural status and real-time interaction of sensor information.

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