Offshore equipment safety early warning system based on data analysis

Abstract

The invention relates to the technical field of safety early warning, in particular to an offshore equipment safety early warning system based on data analysis, which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, an adjustment module and an early warning module. By collecting and analyzing key data of the wind power platform in real time, potential risks of the wind power platform under the conditions of sea condition change, uneven stress or structural damage and the like can be accurately recognized, the system effectively deals with fluctuation of an external environment by dynamically adjusting the height and the interval of the platform, structural abnormity is reduced, and the reliability of the system is improved. According to the method, finer safety early warning can be realized, an abnormal platform is identified and positioned in advance, the safety, stability and operation and maintenance efficiency of the wind power platform are greatly improved, and finally, a powerful guarantee is provided for sustainable development of the offshore wind power industry; the problems of insufficient early warning accuracy and slow response speed caused by complex change of the marine environment and limited sensor performance are effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of safety warning, and in particular to a marine equipment safety warning system based on data analysis. Background Art

[0002] As the development and application of marine energy gradually deepens, offshore equipment, especially offshore wind power facilities, have become an important part of the global energy transformation. The offshore environment is complex and changeable, and climate and sea conditions have put forward higher requirements on 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 failure and other problems, which affect the continuous production of energy and the normal operation of equipment. Therefore, improving the safety monitoring capabilities of offshore equipment, timely warning of potential risks, and ensuring the stable operation of equipment have become important issues that need to be urgently addressed in the field of offshore equipment.

[0003] Patent document with publication number CN117636604A discloses an early warning monitoring station for offshore wind farms, 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, which includes a meteorological sensor, a hydrological sensor, and a vibration sensor for collecting environmental data; the image camera system, which is installed on the monitoring station and is used to capture real-time images of wind power facilities; the GPS module is used to obtain location information of the monitoring station and wind power facilities; the main control unit determines whether the wind power facilities are in a safe state based on sensor data and preset safety standards; when the main control unit detects an abnormal situation, it sends a warning signal and transmits real-time images to the monitoring center; the monitoring center determines whether emergency measures need to be taken based on the image and data analysis results.

[0004] It can be seen that the offshore wind farm early warning monitoring station has the following problems: the monitoring station relies on fixed equipment 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 impact of extreme weather, waves, wind speed, etc. on sensor performance, resulting in inaccurate or invalid data collection, affecting the accuracy of the early warning; the monitoring station relies on manual analysis of images and data, resulting in a slow response speed, especially when wind power facilities undergo rapid changes or abnormal conditions, and cannot achieve rapid and effective automated response; the GPS module is in a complex environment such as an offshore wind farm, and the GPS signal will be interfered with, affecting the positioning accuracy, thereby affecting the accuracy of the monitoring station and the reliability of the early warning system. Summary of the invention

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

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

[0007] Furthermore, the first determining module includes: 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.

[0008] Furthermore, the second determining module includes: 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 force point 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.

[0009] Further, 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.

[0010] Furthermore, the determination module includes: 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.

[0011] Furthermore, the determination unit includes: 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.

[0012] Furthermore, the adjustment module includes: 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.

[0013] Furthermore, the adjustment unit includes: 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.

[0014] Furthermore, 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.

[0015] Furthermore, the interval adjustment subunit is also used to calculate the standard deviation of the real-time water level height 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.

[0016] Compared with the prior art, the beneficial effect of the present invention is that, by real-time collection and analysis of key data of wind power platforms, the potential risks of wind power platforms in situations such as changing sea conditions, uneven force or structural damage can be accurately identified. The system dynamically adjusts the height and spacing of the platform to effectively respond to fluctuations in the external environment and reduce the occurrence of structural abnormalities. It can achieve more precise and timely safety warnings, identify and locate abnormal platforms in advance, and greatly improve the safety, stability and operation and maintenance efficiency of wind power platforms. At the same time, through automated adjustment and early warning mechanisms, the frequency and error risks of human intervention are reduced, the possibility of accidents is reduced, and the service life of equipment is extended, ultimately providing a strong guarantee for the sustainable development of the offshore wind power industry, and effectively solving the problems of insufficient early warning accuracy and slow response speed caused by complex changes in the marine environment and limited sensor performance.

[0017] Furthermore, through real-time monitoring and standard deviation analysis of the height fluctuation calculation unit, abnormal water level changes can be discovered in a timely manner, effectively improving the system's ability to respond to changes in the marine environment, ensuring that potential risk platforms are identified in a timely manner in waters with large fluctuations, and taking corresponding measures in advance to ensure the stability and safety of the wind power platform.

[0018] Furthermore, by drawing and analyzing the displacement curve and width curve, the second determination module can clearly identify the stress changes and crack development of the platform over a period of time. Curve analysis can more intuitively reveal potential problems of the platform during dynamic changes, thereby discovering abnormal stress or crack expansion of the platform at an early stage, improving the system's early warning capability and accuracy, and enhancing the safety and operational stability of offshore wind power platforms.

[0019] Furthermore, by calculating the synchronization between the displacement curve and the width curve, the correlation between the platform force and the crack change can be effectively identified to ensure the stability of the platform. If the changes of the two are not synchronized, it may mean that there are abnormal conditions or structural problems, so that potential abnormal platforms can be identified and separated in time to improve safety and accuracy.

[0020] Furthermore, by analyzing the fluctuation of vibration frequency, it is possible to effectively identify abnormal platforms caused by equipment failure or changes in the external environment. By accurately judging frequency fluctuations, the system can trigger alarms in a timely manner, reduce the risk of misjudgment, and enhance the safety and reliability of wind power platforms.

[0021] Furthermore, the accuracy of abnormal judgment is improved by calculating the fluctuation consistency, avoiding the misjudgment of single frequency fluctuations. At the same time, by setting the preset proportion threshold and recording time, the real abnormal platforms can be screened out more stably to ensure the safety and stability of offshore wind power platforms.

[0022] Furthermore, by timely adjusting the height or spacing of the platform according to the displacement fluctuations of the real-time stress points, the safety and optimization of the offshore floating wind power platform under unstable conditions can be ensured, and platform offset or structural damage caused by excessive displacement or spacing changes can be prevented, thereby improving the operating efficiency and long-term reliability of the platform.

[0023] Furthermore, by flexibly adjusting the height and spacing of the platforms according to the change 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.

[0024] Furthermore, by reducing the preset height, the up and down floating of the platform can be reduced, thereby avoiding structural damage or platform tilting problems caused by uneven force, and improving the safety and long-term stability of the wind power platform.

[0025] Furthermore, by dynamically adjusting the platform interval according to the fluctuation of the water level, the risk of the platforms getting too close or interfering with each other when the waves are large is avoided. By comparing the wave fluctuations with the preset threshold, the actual situation of the wave changes is taken into account when adjusting the interval, thereby improving the responsiveness and adaptability of the system. The preset adjustment coefficient further ensures that the interval adjustment is neither excessive nor slow, effectively improving the stability and anti-interference ability of the platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a schematic diagram of a marine equipment safety early warning system based on data analysis in this embodiment; Figure 2A decision logic diagram for determining a first temporary platform by a first determination unit in this embodiment; Figure 3 A decision logic diagram for determining a second temporary platform by a second determination subunit in this embodiment; Figure 4 This is a determination logic diagram of the determination subunit in this embodiment for determining an abnormal platform. DETAILED DESCRIPTION

[0027] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0028] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0029] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the 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. Therefore, it cannot be understood as a limitation on the present invention.

[0030] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" 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 it can be indirectly connected through an intermediate medium, or it can be the internal communication of 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 circumstances.

[0031] See also Figure 1 As shown, it is a schematic diagram of the marine equipment safety early warning system based on data analysis in this embodiment; This embodiment provides a marine equipment safety early warning system based on data analysis, including: 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.

[0032] The real-time water level refers to the instantaneous water level of the sea surface relative to the reference datum, which is usually measured in real time by water level sensors (such as buoys, sonars, etc.) installed on the platform. It reflects the water level changes at the location of the platform, which can help assess the fluctuations in the marine environment, especially the stability and structural safety of the platform. The real-time displacement of the stress point refers to the displacement of the stress point of the bracket on the offshore floating wind power platform under the action of external force, which is usually measured by sensors (such as strain gauges, displacement gauges) installed on the bracket or platform. It reflects the degree of deformation of the platform or bracket 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 bracket during operation or due to external factors, which is usually detected by vibration sensors (such as accelerometers, vibration sensors) installed on the platform. The change in frequency may reflect the stress state, structural health or potential failure of the platform or bracket; the real-time width of the crack on the bracket surface refers to the average value of the width of all cracks measured by the crack sensor (such as crack monitoring system or ultrasonic sensor) installed on the platform bracket. It can reflect the development of cracks in the surface material of the platform or bracket. The increase in crack width may indicate damage or aging of the structure. Early detection of these cracks will help take preventive measures to avoid serious damage.

[0033] The data acquisition module collects key data in real time through a variety of sensors and monitoring equipment installed on the offshore floating wind power platform. Specifically, the water level is measured by the ocean water level sensors installed around the platform, the displacement of the force point is monitored in real time by a high-precision displacement sensor (such as a laser rangefinder or displacement meter), the vibration frequency is collected by the accelerometer and vibration sensor installed on the bracket, and the crack width is detected by the ultrasonic sensor or optical sensor (such as a laser scanner) installed on the surface. All these data will be uniformly transmitted to the data acquisition module for processing and analysis to ensure that the real-time status of the platform is fully monitored.

[0034] The early warning module monitors the changes in the adjustment height and adjustment interval in real time by connecting with the adjustment module. Once the abnormal platform is confirmed, the early warning module will trigger an alarm, which is usually issued in a variety of ways, including display screens, sound signals, text messages, emails or system notifications, to convey the abnormal information to the operator or management system in real time to ensure that timely measures are taken to deal with possible risks.

[0035] 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 conducive to ensuring that the wind turbine operates within a better wind speed range and avoids excessive impact from tidal changes.

[0036] The preset interval refers to the horizontal distance between adjacent wind power platforms, which depends on the layout of the wind farm, the interference between platforms and the wind speed distribution in the offshore wind farm, and 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 influence of mutual eddy currents.

[0037] The preset adjustment time refers to the time range for data collection and analysis before and after the adjustment, which is usually set to 30 minutes to 1 hour based on the actual stress conditions and environmental changes of the platform. In this embodiment, it is set to 45 minutes, which helps to balance the timeliness of data collection and the accuracy of adjustment decisions.

[0038] The data acquisition module monitors key data such as the water level of the wind power platform, displacement of the stress point, vibration frequency, and width of the bracket crack in real time. The system determines the first temporary platform and the second temporary platform based on the real-time water level, stress change, and crack extension. The abnormal platform is determined by analyzing the vibration frequency fluctuations of adjacent platforms. The judgment result triggers the adjustment module, which responds to changes in the external environment and potential risks by adjusting the height or interval of the platform. Finally, the early warning module issues an alarm based on the adjusted data to remind the operator to take emergency measures.

[0039] By collecting and analyzing key data of wind power platforms in real time, it is possible to accurately identify potential risks of wind power platforms in situations such as changing sea conditions, uneven force or structural damage. The system can effectively respond to fluctuations in the external environment and reduce the occurrence of structural abnormalities by dynamically adjusting the height and spacing of the platform. It can achieve more precise and timely safety warnings, identify and locate abnormal platforms in advance, and greatly improve the safety, stability and operation and maintenance efficiency of wind power platforms. At the same time, through automated adjustment and early warning mechanisms, it reduces the frequency of human intervention and the risk of errors, reduces the possibility of accidents, and extends the service life of equipment, ultimately providing a strong guarantee for the sustainable development of the offshore wind power industry and effectively solving the problems of insufficient early warning accuracy and slow response speed caused by complex changes in the marine environment and limited sensor performance.

[0040] Please continue reading Figure 2 As shown, it is a decision logic diagram of the first determination unit determining the first temporary platform in this embodiment; Specifically, the first determining module includes: 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.

[0041] The preset first determination time duration refers to the time period used to calculate the standard deviation of the real-time water level height, which is usually set according to the volatility of the offshore environment, depending 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, which aims to balance the monitoring frequency and the stability of water level fluctuations, help capture short-term fluctuations in the water level, and avoid insufficient abnormal judgment due to too short a time, or response delays caused by too long a time.

[0042] 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 judged as the first temporary platform. Its setting depends on the water level fluctuation characteristics of the sea area where the platform is located. It is usually set between 0.1 meters and 0.5 meters. In this embodiment, it is set to 0.3 meters. In this way, more abnormal water level fluctuations can be identified without being affected by general waves, ensuring that abnormal conditions of the platform are captured in time.

[0043] The first determination module collects real-time water level height data within a certain period of time through the height fluctuation calculation unit, and calculates its standard deviation to obtain the height fluctuation value. If the fluctuation value exceeds the preset height fluctuation threshold, the system will mark the floating wind power platform as the first temporary platform. Through this process, wind power platforms with abnormal water level changes can be identified, and several first temporary platforms can be formed to provide data support for subsequent judgment and processing.

[0044] Through real-time monitoring and standard deviation analysis of the height fluctuation calculation unit, abnormal water level changes can be discovered in a timely manner, effectively improving the system's ability to respond to changes in the marine environment, ensuring that potential risk platforms are identified in a timely manner in waters with large fluctuations, and taking corresponding measures in advance to ensure the stability and safety of wind power platforms.

[0045] Specifically, the second determination module includes: 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 force point 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.

[0046] 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 the frequency of data acquisition. It is usually based on the dynamic response time of the platform and the required monitoring accuracy. It is generally set between a few minutes and a few hours. In this embodiment, it is set to 30 minutes, which helps to balance the real-time and volatility of the data, and can effectively capture the stress changes and crack development trends of the platform without being too frequent or too lagging, which helps to improve the accuracy of data analysis, detect abnormal situations in time and issue early warnings.

[0047] The second determination module works through two core units. First, the displacement curve drawing unit draws a change curve based on the preset drawing time and the real-time collected displacement data of the stress point to generate a displacement curve; then, the width curve drawing unit draws a curve of crack width change based on the stress point width data collected in the same time period to form 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 as the basis for further analysis. These temporary platforms will be used for subsequent abnormal judgment and early warning.

[0048] By drawing and analyzing the displacement curve and width curve, the second determination module can clearly identify the stress 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 discovering abnormal stress or crack expansion of the platform at an early stage, improving the early warning capability and accuracy of the system, and enhancing the safety and operational stability of the offshore wind power platform.

[0049] Please continue reading Figure 3 As shown, it is a decision logic diagram of the second determination subunit determining the second temporary platform in this embodiment; Specifically, 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.

[0050] The preset synchronization threshold is a standard value used to judge the synchronization of the displacement curve and the width curve changes. It usually depends on the platform design requirements and the impact of environmental changes. It is usually set between 0.8 and 0.95. In this embodiment, it is set to 0.85, which can ensure sufficient synchronization between the platform force and the crack change, and can tolerate certain natural fluctuations to avoid misjudging the platform as abnormal due to slight differences, thereby improving the sensitivity and accuracy of the system.

[0051] The second determination unit first calculates the cosine similarity of the displacement curve and the width curve through the synchronization calculation subunit to obtain the change synchronization. Then, the second determination subunit determines the current first temporary platform as the second temporary platform according to a preset synchronization threshold, when the change synchronization is less than the threshold, thereby screening out a number of second temporary platforms that meet the conditions.

[0052] By calculating the synchronization between the displacement curve and the width curve, the correlation between the platform force and the crack change can be effectively identified to ensure the stability of the platform. If the changes of the two are not synchronized, it may mean that there are abnormal conditions or structural problems, so that potential abnormal platforms can be identified and separated in time to improve safety and accuracy.

[0053] Specifically, the determination module includes: 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.

[0054] The preset judgment time 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 system's sensitivity to vibration data. It is usually set between 5 seconds and 30 seconds. In this embodiment, the preset judgment time is set to 15 seconds, which can fully capture the fluctuation trend of the vibration frequency and avoid misjudgment caused by data fluctuations in a short period of time. At the same time, it can ensure that potential abnormal situations can be responded to in a short time, thereby improving the reaction speed and accuracy of the system.

[0055] The determination module calculates the standard deviation of the real-time vibration frequency within the preset determination time 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 determine whether they exceed the set threshold, thereby identifying the offshore floating wind power platform that may have abnormalities, ensuring that the system can detect abnormal platforms in a timely manner.

[0056] By analyzing the fluctuation of vibration frequency, it is possible to effectively identify abnormal platforms caused by equipment failure or changes in the external environment. By accurately judging frequency fluctuations, the system can trigger alarms in a timely manner, reduce the risk of misjudgment, and enhance the safety and reliability of wind power platforms.

[0057] Please continue reading Figure 4 As shown, it is a determination logic diagram of the determination subunit determining an abnormal platform in this embodiment; Specifically, the determination unit includes: 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.

[0058] The preset consistency threshold is a standard for judging the consistency of vibration frequency fluctuations of adjacent platforms. It depends on the platform vibration mode and the ambient noise level. It is usually set between 0.7 and 0.9 to ensure that there is sufficient consistency to determine whether there is an abnormality 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 slight fluctuations or environmental interference, thereby improving the accuracy of the judgment.

[0059] The preset proportion threshold refers to the ratio of the duration of the recorded fluctuation consistency greater than the threshold to the preset judgment duration, which determines the duration requirement for judging the anomaly. It is usually set between 0.3 and 0.5 to ensure the stability of the judgment and avoid misjudgment caused by short-term anomalies. In this embodiment, it is set to 0.4, which can ensure that it will only be judged as an anomaly when the fluctuation consistency reaches a certain length of time, thereby reducing false alarms and improving the reliability of judgment.

[0060] First, the consistency calculation subunit calculates the correlation coefficient of the frequency fluctuation values ​​of any two adjacent second temporary platforms to form the fluctuation consistency; then, the recording subunit records the total duration when the fluctuation consistency is greater than the preset consistency threshold to form the recorded duration; finally, the judgment subunit compares the ratio of the recorded duration with the preset judgment duration. When the ratio is greater than the preset proportion threshold, the corresponding second temporary platform is judged to be an abnormal platform, and several abnormal platforms are identified.

[0061] By calculating the fluctuation consistency to improve the accuracy of abnormal judgment, the misjudgment of single frequency fluctuations can be avoided. At the same time, by setting the preset proportion threshold and recording time, the real abnormal platforms can be screened out more stably to ensure the safety and stability of offshore wind power platforms.

[0062] Specifically, the adjustment module includes: 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.

[0063] The preset adjustment time refers to the time period used to calculate the real-time displacement change of the force point and make adjustments. It depends on the stability requirements of the platform operation and the required response time. It is usually set between 1 hour and 24 hours. It is determined according to the dynamic change characteristics of the wind power platform. In this embodiment, it is set to 6 hours, which can take into account both timely response and avoidance of overly frequent adjustments. It helps the platform to maintain stability in an environment with large wind fluctuations, reduce resource consumption caused by unnecessary adjustments, and ensure the controllability and reliability of platform operations.

[0064] The adjustment module calculates the standard deviation of the displacement of the real-time force point through the displacement fluctuation calculation unit to obtain the displacement fluctuation value. According to the fluctuation value, the adjustment unit decides whether to adjust the preset height or 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 displacement of the force point to optimize the platform spacing.

[0065] By timely adjusting the height or spacing of the platform according to the displacement fluctuations of the real-time stress points, the safety and optimization of the offshore floating wind power platform under unstable conditions can be ensured, and platform offset or structural damage caused by excessive displacement or spacing changes can be prevented, thereby improving the operating efficiency and long-term reliability of the platform.

[0066] Specifically, the adjustment unit includes: 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.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] 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.

[0072] 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.

[0073] By reducing the preset height, the up and down floating of the platform can be reduced, thus avoiding structural damage or platform tilting caused by uneven force, and improving the safety and long-term stability of the wind power platform.

[0074] Specifically, the interval adjustment subunit is also used to calculate the standard deviation of the real-time water level height 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.

[0075] The preset interval adjustment coefficient is a coefficient used to adjust the distance between platforms. The preset interval of the platforms is dynamically adjusted according to the relative deviation between the wave fluctuation degree and the preset wave fluctuation threshold. It depends on the wave characteristics, wind conditions and the tolerance of the platform structure in the sea area where the platform is located. It is usually set between 0.1 and 0.5. In this embodiment, it is set to 0.3, which can balance the flexibility of the adjustment range and the platform interval, avoid unnecessary distance increase caused by excessive adjustment, and at the same time ensure that the platforms maintain a sufficient safe distance in the case of large waves, avoid mutual interference, and improve the stability and safety of the system.

[0076] First, the standard deviation of the real-time water level within the preset adjustment time is calculated to obtain the wave fluctuation degree. Then, it is determined whether the wave fluctuation degree is greater than the preset wave fluctuation threshold. If it is greater, the system increases the original preset interval according to the relative deviation between the wave fluctuation degree and the preset wave fluctuation threshold, and combines the preset wave fluctuation adjustment coefficient to form the adjusted interval. Through this process, the system can cope with wave fluctuations, adjust the platform spacing in time, and ensure stable operation of the platform.

[0077] By dynamically adjusting the platform interval according to the fluctuation of water level, the risk of platforms getting too close or interfering with each other when the waves are large can be avoided. By comparing the wave fluctuation with the preset threshold, the actual wave changes are taken into account when adjusting the interval, thereby improving the responsiveness and adaptability of the system. The preset adjustment coefficient further ensures that the interval adjustment is neither excessive nor slow, effectively improving the stability and anti-interference ability of the platform.

[0078] 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.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in 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 force point 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.

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