An offshore equipment safety early warning system based on data analysis

Abstract

The present invention relates to the field of safety warning technologies, and particularly to an offshore equipment safety warning system based on data analysis. The system includes a data acquisition module, a first determination module, a second determination module, a determination module, an adjustment module, and a warning module. By collecting and analyzing key data of a wind power platform in real time, the present invention can accurately identify potential risks of the wind power platform under conditions such as sea condition changes, uneven stress, or structural damage. The system dynamically adjusts the height and spacing of the platform to effectively cope with fluctuations in the external environment, reduce the occurrence of structural anomalies, and can achieve more refined safety warnings, identify and locate abnormal platforms in advance, greatly improving the safety, stability, and operation and maintenance efficiency of the wind power platform, ultimately providing a strong guarantee for the sustainable development of the offshore wind power industry, and effectively solving the problems of insufficient warning accuracy and slow response speed caused by complex changes in the marine environment and limited sensor performance.

Description

Technical Field

[0001] The present invention relates to the technical field of safety warning, and particularly relates to an offshore equipment safety warning system based on data analysis. Background Art

[0002] With the gradual deepening of the development and application of marine energy, offshore equipment, especially offshore wind power facilities, has become an important part of the global energy transformation. The offshore environment is complex and changeable, and climate and sea conditions pose higher requirements for the stability and safety of equipment. When facing multiple challenges such as strong winds, huge waves, freezing, and salt spray, wind power facilities are prone to structural damage, equipment failures, etc., affecting the continuous production of energy and the normal operation of equipment. Therefore, improving the safety monitoring ability of offshore equipment, timely warning of potential risks, and ensuring the stable operation of equipment have become important issues that need to be solved urgently in the field of offshore equipment.

[0003] The patent document with the publication number CN117636604A discloses a warning monitoring station for an offshore wind farm, including a main control unit, a sensor system, an image camera system, and a GPS module; the main control unit, which includes a processor and a communication module for data processing and control logic; the sensor system, including a meteorological sensor, a hydrological sensor, and a vibration sensor for collecting environmental data; the image camera system installed on the monitoring station for capturing real-time images of the wind power facilities; the GPS module for obtaining the position information of the monitoring station and the wind power facilities; the main control unit determines whether the wind power facilities are in a safe state according to the sensor data and preset safety standards; when the main control unit detects an abnormal situation, it issues a warning signal and transmits the real-time image to the monitoring center; the monitoring center determines whether emergency measures need to be taken according to the image and data analysis results.

[0004] Therefore, the warning monitoring station for the offshore wind farm has the following problems: This monitoring station relies on fixed devices such as meteorological sensors, hydrological sensors, and vibration sensors, and it is difficult to effectively adapt to the complex changes in the marine environment, such as the influence of extreme weather, sea waves, wind speed, etc. on the sensor performance, resulting in inaccurate or ineffective data collection, affecting the accuracy of early warning; this monitoring station relies on the way of manual analysis of images and data, resulting in a slow response speed, especially when rapid changes or abnormal situations occur in wind power facilities, it is impossible to achieve a fast and effective automatic response; in a complex environment such as an offshore wind farm, the GPS signal will be interfered, affecting the positioning accuracy, thereby affecting the accuracy of the monitoring station and the reliability of the warning system. Summary of the Invention

[0005] To this end, the present invention provides a safety warning system for marine equipment based on data analysis, which is used to overcome the problems of insufficient warning accuracy and slow response speed in the prior art due to the complex changes in the marine environment and the limited performance of sensors through real-time data analysis and dynamic adjustment.

[0006] To achieve the above object, the present invention provides a safety warning system for marine equipment based on data analysis, including:

[0007] A data acquisition module, which is used to acquire the real-time water level height, the real-time displacement of the force application point, the real-time vibration frequency, and the real-time width of the crack on the surface of the support at the upper support of each offshore floating wind power platform where a fan is installed at a preset height;

[0008] Among them, two adjacent offshore floating wind power platforms are arranged at a preset interval;

[0009] A first determination module, which is connected to the data acquisition module and is used to determine a number of first temporary platforms according to the real-time water level height;

[0010] A second determination module, which is respectively connected to the data acquisition module and the first determination module, and is used to determine a number of second temporary platforms according to the real-time displacement of the force application point and the real-time width of each of the first temporary platforms;

[0011] A determination module, which is respectively connected to the second determination module and the data acquisition module, and is used to determine a number of abnormal platforms according to the real-time vibration frequency of any two adjacent second temporary platforms;

[0012] An adjustment module, which is respectively connected to the data acquisition module and the determination module, and is used to adjust the preset height according to the real-time displacement of the force application point within a preset adjustment duration to form an adjustment height, or to adjust the preset interval according to the real-time displacement of the force application point and the real-time water level height within a preset adjustment duration to form an adjustment interval;

[0013] A warning module, which is connected to the adjustment module and is used to issue an alarm according to the abnormal platform determined based on the adjustment height, or to issue an alarm according to the abnormal platform determined based on the adjustment interval.

[0014] Furthermore, the first determination module includes:

[0015] A height fluctuation calculation unit, which is used to calculate the standard deviation of the real-time water level height within a preset first determination duration to form a height fluctuation value;

[0016] A first determination unit, which is connected to the height fluctuation calculation unit and is used to determine the floating wind power platform as a first temporary platform when the height fluctuation value is greater than a preset height fluctuation threshold to form a number of first temporary platforms.

[0017] Further, the second determination module includes:

[0018] A displacement curve drawing unit, configured to draw a change curve based on the displacement of the real-time force application point within a preset drawing duration, and form a displacement curve;

[0019] A width curve drawing unit, configured to draw a change curve based on the width of the real-time force application point within the preset drawing duration, and form a width curve;

[0020] A second determination unit, which is respectively connected to the displacement curve drawing unit and the width curve drawing unit, and is configured to determine a number of second temporary platforms according to the displacement curve and the width curve.

[0021] Further, the second determination unit includes:

[0022] A synchronization degree calculation subunit, configured to calculate the cosine similarity between the displacement curve and the width curve, and form a change synchronization degree;

[0023] A second determination subunit, which is connected to the synchronization degree calculation subunit, and is configured to determine the first temporary platform as the second temporary platform when the change synchronization degree is less than a preset synchronization degree threshold, and form a number of second temporary platforms.

[0024] Further, the determination module includes:

[0025] A frequency fluctuation calculation unit, configured to calculate the standard deviation of the real-time vibration frequency within a preset determination duration, and form a frequency fluctuation value;

[0026] A determination unit, which is connected to the frequency fluctuation calculation unit, and is configured to determine a number of abnormal platforms according to the frequency fluctuation values of any two adjacent second temporary platforms.

[0027] Further, the determination unit includes:

[0028] A consistency calculation subunit, configured to calculate the correlation coefficient of the frequency fluctuation values of any two adjacent second temporary platforms, and form a fluctuation consistency;

[0029] A recording subunit, which is connected to the consistency calculation subunit, and is configured to record the total duration when the fluctuation consistency is greater than a preset consistency threshold, and form a recording duration;

[0030] A determination subunit, which is connected to the recording subunit, and is configured to determine the corresponding second temporary platform as an abnormal platform when the ratio of the recording duration to the preset determination duration is greater than a preset ratio threshold, and form a number of abnormal platforms.

[0031] Further, the adjustment module includes:

[0032] A displacement fluctuation calculation unit for calculating the standard deviation of the displacement of the real-time force application point to form a displacement fluctuation value;

[0033] An adjustment unit, connected to the displacement fluctuation calculation unit, for adjusting the preset height according to the displacement fluctuation value to form an adjusted height, or for adjusting the preset interval according to the real-time displacement of the force application point and the real-time water level height within a preset adjustment duration to form an adjusted interval.

[0034] Further, the adjustment unit includes:

[0035] A height adjustment subunit for adjusting the preset height to form an adjusted height when the displacement fluctuation value is greater than a preset displacement fluctuation threshold;

[0036] An interval adjustment subunit for adjusting the preset interval according to the real-time water level height to form an adjusted interval when the displacement fluctuation value is less than or equal to the preset displacement fluctuation threshold.

[0037] Further, the height adjustment subunit is used to reduce the preset height according to the relative deviation between the displacement fluctuation value and the preset displacement fluctuation threshold and a preset height adjustment coefficient to form an adjusted height.

[0038] Further, the interval adjustment subunit is also used to calculate the standard deviation of the real-time water level height within the preset adjustment duration to form a wave undulation degree. When the wave undulation degree is greater than a preset wave undulation threshold, the preset interval is increased according to the relative deviation between the wave undulation degree and the preset wave undulation threshold and a preset interval adjustment coefficient to form an adjusted interval.

[0039] Compared with the prior art, the beneficial effects of the present invention are as follows. By collecting and analyzing the key data of the wind power platform in real time, potential risks of the wind power platform in cases such as sea condition changes, uneven stress, or structural damage can be accurately identified. The system effectively responds to the fluctuations of the external environment by dynamically adjusting the height and interval of the platform, reduces the occurrence of structural anomalies, can achieve more refined and timely safety warnings, pre-identify and locate abnormal platforms in advance, greatly improves the safety, stability, and operation and maintenance efficiency of the wind power platform. At the same time, through the automatic adjustment and warning mechanism, the frequency and error risk of human intervention are reduced, the possibility of accidents is reduced, the service life of the equipment is extended, and finally, it provides a strong guarantee for the sustainable development of the offshore wind power industry, effectively solving the problems of insufficient warning accuracy and slow response speed caused by the complex changes in the marine environment and the limited performance of sensors.

[0040] Furthermore, through the real-time monitoring and standard deviation analysis of the height fluctuation calculation unit, abnormal situations in water level changes can be detected in a timely manner, effectively improving the system's response ability to marine environmental changes, ensuring the timely identification of potential risk platforms in waters with large fluctuations, taking corresponding measures in advance, and guaranteeing the stability and safety of the wind power platform.

[0041] Furthermore, by plotting and analyzing the displacement curve and width curve, the second determination module can clearly identify the force changes and crack development of the platform over a period of time. Curve analysis can more intuitively reveal potential problems of the platform during the dynamic change process, thereby detecting abnormal forces or crack propagation of the platform at an early stage, enhancing the warning ability and accuracy of the system, and strengthening the safety and operation stability of the offshore wind power platform.

[0042] Furthermore, by calculating the synchronization between the displacement curve and the width curve, the correlation between the platform's force and crack changes can be effectively identified, ensuring the stability of the platform. If the changes of the two are not synchronized, it may mean the existence of abnormal situations or structural problems, thereby enabling the timely identification and isolation of potential abnormal platforms, improving safety and accuracy.

[0043] Furthermore, by analyzing the fluctuation of the vibration frequency, abnormal platforms caused by equipment failures or external environmental changes can be effectively identified. By accurately judging the frequency fluctuation, the system can trigger an alarm in a timely manner, reducing the risk of misjudgment, and enhancing the safety and reliability of the wind power platform.

[0044] Furthermore, by calculating the fluctuation consistency to improve the accuracy of abnormal judgment, the misjudgment of single-frequency fluctuation is avoided. At the same time, through the setting of the preset proportion threshold and recording duration, truly abnormal platforms can be screened out more stably, ensuring the safety and stability of the offshore wind power platform.

[0045] Furthermore, by adjusting the height or interval of the platform in a timely manner according to the displacement fluctuation of the real-time force point, the safety and optimization of the offshore floating wind power platform under unstable conditions are ensured, preventing platform offset or structural damage caused by excessive displacement or interval changes, thereby improving the operation efficiency and long-term reliability of the platform.

[0046] Furthermore, by flexibly adjusting the height and interval of the platform according to the change of the displacement fluctuation value, the stability and operation efficiency of the platform can be optimized without affecting the overall performance of the platform. This method can adjust the distance between platforms according to the actual situation, reduce potential risks caused by environmental fluctuations, and improve the safety and reliability of the offshore floating wind power platform.

[0047] Furthermore, by reducing the preset height, the up-and-down floating of the platform is reduced, avoiding structural damage or platform tilt problems caused by uneven stress, and enhancing the safety and long-term stability of the wind power platform.

[0048] Furthermore, by dynamically adjusting the platform interval according to the water level fluctuations, the risk of the platforms getting too close or interfering with each other under large waves is avoided. By comparing the wave undulation degree with the preset threshold, the actual situation of wave changes is considered when adjusting the interval, thereby enhancing the system's response ability and adaptability. The preset adjustment coefficient further ensures that the interval adjustment is neither excessive nor sluggish, effectively improving the platform's stability and anti-interference ability. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the offshore equipment safety warning system based on data analysis in this embodiment;

[0050] Figure 2 It is a decision logic diagram for the first determination unit in this embodiment to determine the first temporary platform;

[0051] Figure 3 It is a decision logic diagram for the second determination subunit in this embodiment to determine the second temporary platform;

[0052] Figure 4 It is a decision logic diagram for the determination subunit in this embodiment to determine the abnormal platform. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only for explaining the present invention and are not used to limit the present invention.

[0054] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only for explaining the technical principles of the present invention and do not limit the protection scope of the present invention.

[0055] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "up", "down", "left", "right", "inside", "outside", etc. are based on the direction or positional relationship shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention.

[0056] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0057] Please refer to Figure 1 as shown, which is a schematic diagram of the offshore equipment safety warning system based on data analysis in this embodiment;

[0058] This embodiment provides an offshore equipment safety warning system based on data analysis, including:

[0059] A data acquisition module for acquiring the real-time water level height, real-time displacement of the force application point, real-time vibration frequency, and real-time width of the crack on the surface of the support at each offshore floating wind power platform where a fan is installed at a preset height;

[0060] Among them, adjacent two offshore floating wind power platforms are arranged at a preset interval;

[0061] A first determination module, which is connected to the data acquisition module, for determining a number of first temporary platforms according to the real-time water level height;

[0062] A second determination module, which is respectively connected to the data acquisition module and the first determination module, for determining a number of second temporary platforms according to the real-time displacement of the force application point and the real-time width of each of the first temporary platforms;

[0063] A determination module, which is respectively connected to the second determination module and the data acquisition module, for determining a number of abnormal platforms according to the real-time vibration frequency of any two adjacent second temporary platforms;

[0064] An adjustment module, which is respectively connected to the data acquisition module and the determination module, for adjusting the preset height to form an adjusted height according to the real-time displacement of the force application point within a preset adjustment duration, or adjusting the preset interval to form an adjusted interval according to the real-time displacement of the force application point and the real-time water level height within a preset adjustment duration;

[0065] An early warning module, which is connected to the adjustment module, for issuing an alarm according to the abnormal platforms determined based on the adjusted height, or issuing an alarm according to the abnormal platforms determined based on the adjusted interval.

[0066] The real-time water level height refers to the instantaneous water level height of the sea surface relative to the reference datum plane, which is usually obtained by real-time measurement using water level sensors (such as buoys, sonars, etc.) installed on the platform. It reflects the water level changes at the location of the platform and can help evaluate the fluctuations of the marine environment. In particular, it is of great significance for the stability and structural safety of the platform; The real-time displacement of the force application point refers to the displacement of the force application point of the support on the offshore floating wind power platform under the action of external forces, which is usually measured by sensors (such as strain gauges, displacement gauges) installed on the support or the platform. It reflects the degree of deformation of the platform or support under external factors such as wind and surge, and is an important indicator for judging whether the platform has abnormal displacement; The real-time vibration frequency refers to the vibration frequency generated by the offshore floating wind power platform or support during operation or due to external factors, which is usually detected by vibration sensors (such as accelerometers, vibration sensors) installed on the platform. Changes in frequency may reflect the stress state, structural health condition or potential faults of the platform or support; The real-time width of the cracks on the surface of the support refers to the average value of the widths of all cracks measured by crack sensors (such as crack monitoring systems or ultrasonic sensors) installed on the platform support. It can reflect the development of cracks in the surface material of the platform or support. An increase in the crack width may indicate structural damage or aging. Detecting these cracks in advance helps to take preventive measures to avoid serious damage.

[0067] The data acquisition module collects key data in real time through a variety of sensors and monitoring devices installed on the offshore floating wind power platform. Specifically, the water level height is measured by ocean water level sensors installed around the platform, the displacement of the force application point is monitored in real time by high-precision displacement sensors (such as laser rangefinders or displacement gauges), the vibration frequency is collected by accelerometers and vibration sensors installed on the support, and the crack width is detected by surface-mounted ultrasonic sensors or optical sensors (such as laser scanners). All this data will be uniformly transmitted to the data acquisition module for processing and analysis to ensure that the real-time state of the platform is comprehensively monitored.

[0068] The warning module, through its connection with the adjustment module, monitors the changes in the adjustment height and adjustment interval in real time. Once an abnormal platform is confirmed, the warning module will trigger an alarm, usually issued in a variety of ways, including through the display screen, sound signal, text message, email or system notification, etc., to convey the abnormal information to the operator or management system in real time to ensure that timely measures are taken to address potential risks.

[0069] The preset height refers to the initial installation height of the wind turbine on the wind power platform, which depends on the design requirements of the offshore platform, the working efficiency of the wind turbine and marine environmental factors, and is usually set between 20 meters and 100 meters; In this embodiment, it is set to 50 meters, which is beneficial to ensuring that the wind turbine operates within the optimal wind speed range and avoiding being affected by tidal changes too much.

[0070] The preset interval refers to the horizontal distance between adjacent wind power platforms, which depends on the layout of the wind farm, the interference degree between platforms, and the wind speed distribution in the offshore wind farm. It is usually set between 500 meters and 2 kilometers; in this embodiment, it is set to 1 kilometer, which can ensure the independence between platforms and reduce the mutual eddy current influence.

[0071] The preset adjustment duration refers to the time range for data collection and analysis before and after the system makes adjustments. It is usually set between 30 minutes and 1 hour according to the actual stress conditions of the platform and environmental changes; in this embodiment, it is set to 45 minutes, which helps to balance the timeliness of data collection and the accuracy of adjustment decisions.

[0072] The data acquisition module monitors key data such as the water level height, displacement of the stress point, vibration frequency, and crack width of the support of the wind power platform in real time. The system determines the first temporary platform and the second temporary platform based on the real-time water level height, stress changes, and crack propagation. By analyzing the vibration frequency fluctuations of adjacent platforms, abnormal platforms are determined. The determination result triggers the adjustment module to respond to changes in the external environment and potential risks by adjusting the height or interval of the platform. Finally, the warning module issues an alarm based on the adjusted data to remind the operator to take emergency measures.

[0073] By collecting and analyzing the key data of the wind power platform in real time, the potential risks of the wind power platform in cases such as sea condition changes, uneven stress, or structural damage can be accurately identified. The system effectively responds to the fluctuations of the external environment by dynamically adjusting the height and interval of the platform, reduces the occurrence of structural abnormalities, and can achieve more refined and timely safety warnings, identify and locate abnormal platforms in advance, greatly improving the safety, stability, and operation and maintenance efficiency of the wind power platform. At the same time, through the automated adjustment and warning mechanism, the frequency and error risk of human intervention are reduced, the possibility of accidents is reduced, the service life of the equipment is extended, and ultimately it provides a strong guarantee for the sustainable development of the offshore wind power industry, effectively solving the problems of insufficient warning accuracy and slow response speed caused by the complex changes in the marine environment and limited sensor performance.

[0074] Please continue to refer to Figure 2 as shown, which is the determination logic diagram of the first temporary platform determined by the first determination unit of this embodiment;

[0075] Specifically, the first determination module includes:

[0076] The height fluctuation calculation unit is used to calculate the standard deviation of the real-time water level height within a preset first determination duration to form a height fluctuation value;

[0077] A first determination unit, which is connected to the height fluctuation calculation unit, is used to determine that the floating wind power platform is a first temporary platform when the height fluctuation value is greater than a preset height fluctuation threshold, and form a number of first temporary platforms.

[0078] The preset first determination duration refers to the time period used to calculate the standard deviation of the real-time water level height. It is usually set according to the volatility of the marine environment and depends on the monitoring frequency of the platform and the environmental change cycle. It is usually set between a few minutes and a few hours. In this embodiment, it is set to 30 minutes, aiming to balance the monitoring frequency and the smoothness of the water level fluctuation, which helps to capture the short-term fluctuations of the water level and avoid insufficient abnormal judgment caused by too short time or response delay caused by too long time.

[0079] The preset height fluctuation threshold refers to the threshold of the standard deviation of the water level height fluctuation. When the height fluctuation value exceeds this value, the platform will be determined as a first temporary platform. Its setting depends on the water level fluctuation characteristics of the sea area where the platform is located and is usually set between 0.1 meter and 0.5 meters. In this embodiment, it is set to 0.3 meters, which can identify relatively abnormal water level fluctuations without being affected by general waves, ensuring timely capture of abnormal situations of the platform.

[0080] The first determination module collects the real-time water level height data within a certain duration through the height fluctuation calculation unit, calculates its standard deviation, and obtains the height fluctuation value. If this fluctuation value exceeds the preset height fluctuation threshold, the system will calibrate the floating wind power platform as a first temporary platform. Through this process, the wind power platforms with abnormal water level changes can be identified, forming a number of first temporary platforms, providing data support for subsequent judgment and processing.

[0081] Through the real-time monitoring and standard deviation analysis of the height fluctuation calculation unit, abnormal situations of water level changes can be detected in a timely manner, effectively improving the system's response ability to marine environmental changes, ensuring timely identification of potential risk platforms in waters with large fluctuations, taking corresponding measures in advance, and ensuring the stability and safety of the wind power platform.

[0082] Specifically, the second determination module includes:

[0083] A displacement curve drawing unit, which is used to draw a change curve according to the real-time displacement of the force application point within a preset drawing duration to form a displacement curve;

[0084] A width curve drawing unit, which is used to draw a change curve according to the real-time width of the force application point within the preset drawing duration to form a width curve;

[0085] A second determination unit, which is respectively connected to the displacement curve drawing unit and the width curve drawing unit, and is used to determine a number of second temporary platforms according to the displacement curve and the width curve.

[0086] The preset drawing duration refers to the time period used to draw the displacement curve and the width curve, which usually depends on the operating characteristics of the platform, environmental factors, and data acquisition frequency. Generally, based on the dynamic response time of the platform and the required monitoring accuracy, it is set between several minutes and several hours. In this embodiment, it is set to 30 minutes, which helps to balance the real-time nature and volatility of the data, can effectively capture the force changes and crack development trends of the platform, without being too frequent or too lagging, helps to improve the accuracy of data analysis, detect abnormal situations in a timely manner, and issue early warnings.

[0087] The second determination module works through two core units. First, the displacement curve drawing unit draws a change curve based on the displacement data of the force application point collected in real time according to the preset drawing duration, generating a displacement curve; then, the width curve drawing unit draws a curve of the crack width change based on the width data of the force application point collected within the same time period, forming a width curve. Next, the second determination unit analyzes these two curves, and determines several second temporary platforms based on the change characteristics of the displacement curve and the width curve, which serve as the basis for further analysis. These temporary platforms will be used for subsequent abnormal determination and early warning.

[0088] By drawing and analyzing the displacement curve and the width curve, the second determination module can clearly identify the force changes and crack development of the platform over a period of time. Curve analysis can more intuitively reveal potential problems in the dynamic change process of the platform, thereby detecting force abnormalities or crack propagation of the platform at an early stage, enhancing the early warning ability and accuracy of the system, and strengthening the safety and operation stability of the offshore wind power platform.

[0089] Please continue to refer to Figure 3 as shown, which is the determination logic diagram of the second temporary platform determined by the second determination subunit of this embodiment;

[0090] Specifically, the second determination unit includes:

[0091] A synchronization degree calculation subunit, which is used to calculate the cosine similarity of the displacement curve and the width curve to form a change synchronization degree;

[0092] A second determination subunit, which is connected to the synchronization degree calculation subunit, and is used to determine the first temporary platform as the second temporary platform when the change synchronization degree is less than a preset synchronization degree threshold, forming several second temporary platforms.

[0093] The preset synchronization degree threshold is a standard value used to judge the synchronization of the displacement curve and the width curve. It usually depends on the platform design requirements and the influence of environmental changes, and is usually set between 0.8 and 0.95. In this embodiment, it is set to 0.85, which can not only ensure sufficient synchronization between the platform force and crack changes, but also tolerate certain natural fluctuations, avoiding misjudging the platform as abnormal due to minor differences, thereby improving the sensitivity and accuracy of the system.

[0094] First, the second determination unit calculates the cosine similarity of the displacement curve and the width curve through the synchronization degree calculation subunit to obtain the change synchronization degree. Then, according to the preset synchronization degree threshold, when the change synchronization degree is less than the threshold, the second determination subunit determines the current first temporary platform as the second temporary platform, thereby screening out several eligible second temporary platforms.

[0095] By calculating the synchronization between the displacement curve and the width curve, the correlation between the platform force and crack changes can be effectively identified, ensuring the stability of the platform. If the changes of the two are not synchronized, it may mean that there are abnormal situations or structural problems, so that potential abnormal platforms can be identified and separated in time, improving safety and accuracy.

[0096] Specifically, the determination module includes:

[0097] A frequency fluctuation calculation unit for calculating the standard deviation of the real-time vibration frequency within a preset determination duration to form a frequency fluctuation value;

[0098] A determination unit connected to the frequency fluctuation calculation unit for determining a number of abnormal platforms according to the frequency fluctuation values of any two adjacent second temporary platforms.

[0099] The preset determination duration is the time period used to calculate the real-time vibration frequency fluctuation value, which depends on the vibration frequency change rate of the platform and the sensitivity of the system to vibration data, and is usually set between 5 seconds and 30 seconds. In this embodiment, the preset determination duration is set to 15 seconds, which can fully capture the fluctuation trend of the vibration frequency, avoid misjudgment caused by short-term data fluctuations, and at the same time ensure the response to potential abnormal situations in a short time, improving the response speed and accuracy of the system.

[0100] The determination module calculates the standard deviation of the real-time vibration frequency within the preset determination duration through the frequency fluctuation calculation unit to form a frequency fluctuation value. Then, the determination unit compares the frequency fluctuation values of two adjacent second temporary platforms to judge whether they exceed the set threshold, so as to identify the potentially abnormal offshore floating wind power platform and ensure that the system can detect abnormal platforms in time.

[0101] By analyzing the fluctuations in the vibration frequency, it is possible to effectively identify abnormal platforms caused by equipment failures or external environmental changes. By accurately judging the frequency fluctuations, the system can trigger an alarm in a timely manner, reduce the risk of misjudgment, and enhance the safety and reliability of the wind power platform.

[0102] Please continue to refer to Figure 4 As shown, it is the determination logic diagram for the determination subunit of the present embodiment to determine an abnormal platform;

[0103] Specifically, the determination unit includes:

[0104] A consistency calculation subunit, used to calculate the correlation coefficient of the frequency fluctuation values of any two adjacent second temporary platforms, and form a fluctuation consistency;

[0105] A recording subunit, connected to the consistency calculation subunit, used to record the total duration when the fluctuation consistency is greater than a preset consistency threshold, and form a recording duration;

[0106] A determination subunit, connected to the recording subunit, used to determine that the corresponding second temporary platform is an abnormal platform when the ratio of the recording duration to the preset determination duration is greater than a preset ratio threshold, and form a number of abnormal platforms.

[0107] The preset consistency threshold is a standard for judging the consistency of the vibration frequency fluctuations of adjacent platforms, depending on the platform vibration mode and the environmental noise level, usually set between 0.7 and 0.9 to ensure sufficient consistency to determine whether there are abnormalities in the platform. In this embodiment, it is set to 0.85, which can effectively identify abnormal platforms with consistent vibration fluctuations and avoid being affected by minor fluctuations or environmental interferences, thereby improving the accuracy of the determination.

[0108] The preset ratio threshold refers to the ratio of the duration of recording that the fluctuation consistency is greater than the threshold to the preset determination duration, which determines the duration requirement for judging abnormalities, usually set between 0.3 and 0.5 to ensure the stability of the judgment and avoid misjudgment caused by short-term abnormalities. In this embodiment, it is set to 0.4, which can ensure that only when the fluctuation consistency reaches a certain time length will it be determined as abnormal, thereby reducing false alarms and improving the reliability of the determination.

[0109] First, the consistency calculation subunit calculates the correlation coefficient of the frequency fluctuation values of any two adjacent second temporary platforms to form a fluctuation consistency; then, the recording subunit records the total duration when the fluctuation consistency is greater than the preset consistency threshold to form a recording duration; finally, the determination subunit compares the ratio of the recording duration to the preset determination duration. When the ratio is greater than the preset ratio threshold, it determines that the corresponding second temporary platform is an abnormal platform and identifies a number of abnormal platforms.

[0110] By calculating the fluctuation consistency, the accuracy of anomaly judgment is improved, avoiding misjudgment of single-frequency fluctuations. At the same time, by setting the preset proportion threshold and recording duration, the real abnormal platforms can be screened out more stably, ensuring the safety and stability of the offshore wind power platform.

[0111] Specifically, the adjustment module includes:

[0112] A displacement fluctuation calculation unit for calculating the standard deviation of the real-time stress point displacement to form a displacement fluctuation value;

[0113] An adjustment unit, connected to the displacement fluctuation calculation unit, for adjusting the preset height according to the displacement fluctuation value to form an adjusted height, or adjusting the preset interval according to the real-time stress point displacement and the real-time water level height within a preset adjustment duration to form an adjusted interval.

[0114] The preset adjustment duration refers to the time period used to calculate the change in the real-time stress point displacement and make adjustments, which depends on the stability requirements of the platform operation and the required response time. It is usually set between 1 hour and 24 hours, and is specifically determined according to the dynamic change characteristics of the wind power platform. In this embodiment, it is set to 6 hours, which can balance timely response and avoid overly frequent adjustments, help the platform maintain stability in an environment with large wind fluctuations, reduce resource consumption caused by unnecessary adjustments, and ensure the controllability and reliability of platform operation.

[0115] The adjustment module calculates the standard deviation of the real-time stress point displacement through the displacement fluctuation calculation unit to obtain the displacement fluctuation value. According to this fluctuation value, the adjustment unit decides whether to adjust the preset height or the preset interval. If the displacement fluctuation value is large, the stability of the wind power platform is corrected by adjusting the preset height; if the fluctuation is small, the preset interval is adjusted according to the real-time water level height and the stress point displacement to optimize the platform spacing.

[0116] By adjusting the height or interval of the platform in a timely manner according to the displacement fluctuation of the real-time stress point, the safety and optimization of the offshore floating wind power platform under unstable conditions are ensured, preventing platform deviation or structural damage caused by excessive displacement or interval changes, thereby improving the operation efficiency and long-term reliability of the platform.

[0117] Specifically, the adjustment unit includes:

[0118] A height adjustment sub-unit for adjusting the preset height to form an adjusted height when the displacement fluctuation value is greater than the preset displacement fluctuation threshold;

[0119] An interval adjustment sub-unit for adjusting the preset interval according to the real-time water level height to form an adjusted interval when the displacement fluctuation value is less than or equal to the preset displacement fluctuation threshold.

[0120] The preset displacement fluctuation threshold refers to a reference standard for judging the displacement fluctuation of the platform's force-bearing point, which mainly depends on the design bearing capacity of the offshore floating wind power platform, the range of environmental changes and the stability requirements of the platform. It is usually set between 0.1mm and 10mm. In this embodiment, it is set to 2mm, which can effectively distinguish normal fluctuations from abnormal fluctuations, ensure the stability of the platform within the normal range, and make timely adjustments when it exceeds this range to prevent damage to the platform structure or unstable operation due to excessive fluctuations.

[0121] The adjustment unit determines the adjustment strategy based on the fluctuation of the real-time displacement of the force point. When the displacement fluctuation value is greater than the preset displacement fluctuation threshold, the height adjustment subunit will adjust the preset height of the platform to ensure the stability of the platform structure; when the displacement fluctuation value is less than or equal to the preset threshold, the interval adjustment subunit will adjust the preset interval between adjacent platforms according to the real-time water level height, so as to maintain a reasonable distance and coordination between the platforms.

[0122] By flexibly adjusting the height and spacing of the platforms according to the changes in the displacement fluctuation value, the stability and operating efficiency of the platforms can be optimized without affecting the overall performance of the platforms. This method can adjust the distance between platforms according to actual conditions, reduce potential risks caused by environmental fluctuations, and improve the safety and reliability of offshore floating wind power platforms.

[0123] Specifically, the height adjustment subunit is used to reduce the preset height according to the relative deviation between the displacement fluctuation value and the preset displacement fluctuation threshold value and a preset height adjustment coefficient to form an adjusted height.

[0124] The preset height adjustment coefficient is a proportional coefficient used to adjust the height change of the platform. It depends on the structural characteristics of the platform, force requirements, environmental changes and the adjustment sensitivity of the system. It is usually set between 0.1 and 1.0. In this embodiment, it is set to 0.5, which can effectively reduce the impact caused by displacement fluctuations without causing over-adjustment. Through a moderate adjustment coefficient, it can ensure that the height of the platform is balanced between stability and flexibility, responding to force changes while avoiding the risks caused by drastic height fluctuations.

[0125] By calculating the relative deviation between the displacement fluctuation value and the preset displacement fluctuation threshold, it is determined whether the amplitude of the displacement fluctuation exceeds the predetermined standard. When the fluctuation value exceeds the threshold, the preset height of the platform is automatically adjusted in combination with the preset height adjustment coefficient to form an adjusted height. Specifically, if the displacement fluctuation value is large, it indicates that the platform is abnormally stressed, and the system will reduce the height of the platform accordingly to adjust the stability of the platform.

[0126] Reduce the up-and-down floating of the platform by decreasing the preset height, avoid structural damage or platform inclination problems caused by uneven stress, and improve the safety and long-term stability of the wind power platform.

[0127] Specifically, the interval adjustment subunit is further configured to calculate the standard deviation of the real-time water level height within the preset adjustment duration to form a wave undulation degree. When the wave undulation degree is greater than a preset wave undulation threshold, the preset interval is increased according to the relative deviation between the wave undulation degree and the preset wave undulation threshold and a preset interval adjustment coefficient to form an adjusted interval.

[0128] The preset interval adjustment coefficient is a coefficient used to adjust the distance between platforms. It dynamically adjusts the preset interval of the platform according to the relative deviation between the wave undulation degree and the preset wave undulation threshold, depending on the wave characteristics, wind conditions in the sea area where the platform is located, and the tolerance of the platform structure. It is usually set between 0.1 and 0.5 and is set to 0.3 in this embodiment. It can balance the adjustment amplitude and the flexibility of the platform interval, avoid unnecessary distance increase caused by excessive adjustment, and at the same time ensure that the platforms maintain a sufficient safety distance in the case of large waves, avoid mutual interference, and improve the stability and safety of the system.

[0129] First, calculate the standard deviation of the real-time water level height within the preset adjustment duration to obtain the wave undulation degree. Then, determine whether the wave undulation degree is greater than the preset wave undulation threshold. If it is greater, the system increases the original preset interval according to the relative deviation between the wave undulation degree and the preset wave undulation threshold and in combination with a preset wave undulation adjustment coefficient to form an adjusted interval. Through this process, the system can cope with the wave fluctuations, timely adjust the platform spacing, and ensure the stable operation of the platform.

[0130] By dynamically adjusting the platform interval according to the fluctuations of the water level, the risk of the platforms getting too close or interfering with each other in the case of large waves is avoided. By comparing the wave undulation degree with the preset threshold, the actual situation of wave changes is considered when adjusting the interval, thereby improving the response ability and adaptability of the system. The preset adjustment coefficient further ensures that the interval adjustment is neither excessive nor sluggish, effectively improving the stability and anti-interference ability of the platform.

[0131] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 fall within the protection scope of the present invention.

[0132] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention; for those skilled in the art, various modifications and variations can be made to the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A marine equipment safety early warning system based on data analysis, characterized in that: include: A data acquisition module is used to collect the real-time water level height, real-time force point displacement, real-time vibration frequency and real-time width of cracks on the surface of the bracket on each offshore floating wind power platform where the wind turbine is installed at a preset height; Among them, two adjacent offshore floating wind power platforms are arranged at a preset interval; A first determination module, connected to the data acquisition module, for determining a number of first temporary platforms according to the real-time water level; a second determination module, which is connected to the data acquisition module and the first determination module respectively, and is used to determine a number of second temporary platforms according to the real-time displacement of the force point and the real-time width of each of the first temporary platforms; A determination module, which is connected to the second determination module and the data acquisition module respectively, and is used to determine a number of abnormal platforms according to the real-time vibration frequencies of any two adjacent second temporary platforms; An adjustment module, which is connected to the data acquisition module and the determination module respectively, and is used to adjust the preset height according to the real-time displacement of the force point within the preset adjustment time to form an adjusted height, or to adjust the preset interval according to the real-time displacement of the force point within the preset adjustment time and the real-time water level to form an adjusted interval; An early warning module is connected to the adjustment module and is used to issue an alarm according to the abnormal platform determined based on the adjustment height, or to issue an alarm according to the abnormal platform determined based on the adjustment interval.

2. The marine equipment safety early warning system based on data analysis according to claim 1 is characterized in that: The first determining module comprises: A height fluctuation calculation unit, used to calculate the standard deviation of the real-time water level height within a preset first determined time period to form a height fluctuation value; A first determination unit is connected to the height fluctuation calculation unit and is used to determine that the floating wind power platform is a first temporary platform when the height fluctuation value is greater than a preset height fluctuation threshold, so as to form a plurality of first temporary platforms.

3. The marine equipment safety early warning system based on data analysis according to claim 2 is characterized in that: The second determining module comprises: A displacement curve drawing unit is used to draw a change curve according to the real-time displacement of the force point within a preset drawing time to form a displacement curve; A width curve drawing unit, used for drawing a change curve according to the real-time width within the preset drawing time to form a width curve; The second determining unit is connected to the displacement curve drawing unit and the width curve drawing unit respectively, and is used to determine a plurality of second temporary platforms according to the displacement curve and the width curve.

4. The marine equipment safety early warning system based on data analysis according to claim 3 is characterized in that: The second determining unit includes: A synchronization calculation subunit, used for calculating the cosine similarity between the displacement curve and the width curve to form a change synchronization; The second determination subunit is connected to the synchronization degree calculation subunit, and is used to determine that the first temporary platform is the second temporary platform when the change synchronization degree is less than a preset synchronization degree threshold, so as to form a plurality of second temporary platforms.

5. The marine equipment safety early warning system based on data analysis according to claim 4 is characterized in that: The determination module comprises: A frequency fluctuation calculation unit, used to calculate the standard deviation of the real-time vibration frequency within a preset determination time length to form a frequency fluctuation value; A determination unit is connected to the frequency fluctuation calculation unit and is used to determine a number of abnormal platforms according to the frequency fluctuation values ​​of any two adjacent second temporary platforms.

6. The marine equipment safety early warning system based on data analysis according to claim 5 is characterized in that: The determination unit comprises: A consistency calculation subunit, used to calculate the correlation coefficient of the frequency fluctuation values ​​of any two adjacent second temporary platforms to form a fluctuation consistency; A recording subunit, connected to the consistency calculation subunit, for recording the total duration of the fluctuation consistency being greater than a preset consistency threshold, to form a recorded duration; A determination subunit is connected to the recording subunit and is used to determine that the corresponding second temporary platform is an abnormal platform when the ratio of the recording duration to the preset determination duration is greater than a preset proportion threshold, thereby forming a plurality of abnormal platforms.

7. The marine equipment safety early warning system based on data analysis according to claim 6 is characterized in that: The adjustment module comprises: A displacement fluctuation calculation unit, used to calculate the standard deviation of the real-time displacement of the force-bearing point to form a displacement fluctuation value; An adjustment unit is connected to the displacement fluctuation calculation unit, and is used to adjust the preset height according to the displacement fluctuation value to form an adjusted height, or to adjust the preset interval according to the real-time force point displacement within a preset adjustment time and the real-time water level to form an adjusted interval.

8. The marine equipment safety early warning system based on data analysis according to claim 7 is characterized in that: The adjustment unit comprises: A height adjustment subunit, used to adjust the preset height when the displacement fluctuation value is greater than a preset displacement fluctuation threshold value, to form an adjusted height; The interval adjustment subunit is used to adjust the preset interval according to the real-time water level to form an adjusted interval when the displacement fluctuation value is less than or equal to the preset displacement fluctuation threshold.

9. The marine equipment safety early warning system based on data analysis according to claim 8 is characterized in that: The height adjustment subunit is used to reduce the preset height according to the relative deviation between the displacement fluctuation value and the preset displacement fluctuation threshold value and a preset height adjustment coefficient to form an adjusted height.

10. The marine equipment safety early warning system based on data analysis according to claim 9 is characterized in that: The interval adjustment subunit is also used to calculate the standard deviation of the real-time water level within the preset adjustment period to form the wave fluctuation degree. When the wave fluctuation degree is greater than the preset wave fluctuation threshold, the preset interval is increased according to the relative deviation between the wave fluctuation degree and the preset wave fluctuation threshold and the preset interval adjustment coefficient to form an adjustment interval.

Images