Systems for monitoring physical changes in marine structures

Abstract

The present invention discloses a system for monitoring the physical changes of marine structures in the field of marine engineering monitoring, a data acquisition subsystem, a data processing subsystem, a data transmission and storage subsystem, a neural network learning subsystem, and a monitoring and alarm subsystem. After the neural network learning subsystem predicts the physical change trend of the marine structure, the data collected by the data acquisition subsystem is divided into key impact data and non-core data according to the prediction result. The data acquisition subsystem continuously collects the key impact data, and the monitoring and alarm subsystem performs real-time monitoring according to the preset threshold and the collected key impact data. Once an abnormal situation is monitored, the alarm mechanism is immediately triggered. The present invention realizes real-time monitoring, intelligent prediction and efficient alarm functions of marine structures by integrating multiple advanced subsystems, providing a strong guarantee for the safe and stable operation of marine structures.

Description

Technical Field

[0001] The invention belongs to the field of marine engineering monitoring, and in particular to a system for monitoring physical changes of marine structures. Background Art

[0002] With the continuous development of marine engineering technology, the construction and application of marine structures (such as offshore drilling platforms, offshore wind turbines and submarine pipelines) are becoming more and more extensive around the world. These structures are exposed to complex marine environments for a long time and are subject to the influence of various natural forces such as waves, tides, salt spray and sea ice, so their safety and stability are of vital importance.

[0003] In order to ensure the safe operation of marine structures, the traditional approach is to conduct regular manual inspections and maintenance. However, this approach has many limitations. First, manual inspections are limited by natural conditions such as weather and sea conditions, and are difficult to carry out in harsh environments. Second, manual inspections can usually only inspect the surface of the structure, making it difficult to detect potential problems inside the structure. In addition, the frequency of manual inspections is limited, and it is impossible to obtain real-time status information on the structure.

[0004] In order to solve the above problems, in recent years, more and more researchers and engineers have begun to use remote monitoring systems to monitor the physical changes of marine structures. These systems collect physical data such as temperature, stress, displacement and vibration of structures in real time by installing various sensors and cameras, and transmit these data to remote monitoring centers for analysis and processing by wireless or wired means.

[0005] However, existing remote monitoring systems also face some challenges. First, due to the complexity of the marine environment, the installation and maintenance of equipment such as sensors and cameras are difficult. Second, due to the large size of marine structures, a large number of sensors and cameras need to be installed to fully monitor their physical changes, which results in a large amount of complex monitoring data.

[0006] Among the numerous monitoring data, some are of great significance to the safety and stability assessment of structures, while some are redundant or invalid. If these data are not effectively screened and processed, it will not only increase the difficulty and workload of data analysis, but may also cover up important information, leading to misjudgment or missed judgment.

[0007] Therefore, the present invention proposes a system for monitoring physical changes of marine structures to solve the above problems. Summary of the invention

[0008] The present invention proposes a system for monitoring the physical changes of marine structures. By integrating multiple advanced subsystems, it realizes real-time monitoring, intelligent prediction and efficient alarm functions of marine structures, providing a strong guarantee for the safe and stable operation of marine structures.

[0009] In order to achieve the above object, the technical solution of the present invention is as follows: A system for monitoring physical changes of marine structures comprises:

[0010] Data acquisition subsystem, used to collect physical parameters of marine structures in real time;

[0011] The data processing subsystem is used to process the raw data collected by the data acquisition subsystem;

[0012] The data transmission and storage subsystem is used for real-time transmission and storage management of the data processed by the data processing subsystem;

[0013] A neural network learning subsystem is used to predict the physical change trend of marine structures by learning historical data and data transmitted by the current data transmission and storage subsystem and extracting data features from the data processing subsystem;

[0014] A monitoring and alarm subsystem for real-time monitoring of physical changes in marine structures based on preset thresholds;

[0015] After the neural network learning subsystem predicts the physical change trend of the marine structure, it divides the data collected by the data acquisition subsystem into key impact data and non-core data according to the prediction results. The data acquisition subsystem continues to collect key impact data, and the monitoring and alarm subsystem performs real-time monitoring based on the preset thresholds and the collected key impact data. Once an abnormal situation is detected, the alarm mechanism is immediately triggered.

[0016] The following beneficial effects were achieved by adopting the above scheme: the system for monitoring the physical changes of marine structures, by integrating multiple advanced subsystems, realized real-time monitoring, data processing, data transmission, storage management, intelligent prediction, and monitoring and alarm functions of the physical parameters of marine structures.

[0017] 1. Real-time and accuracy: The data acquisition subsystem can collect the physical parameters of marine structures in real time, such as temperature, pressure, displacement, etc., ensuring the real-time and accuracy of the data, helping to discover potential problems in a timely manner and ensuring the safe and stable operation of marine structures.

[0018] 2. Intelligent prediction: The neural network learning subsystem can intelligently predict the physical change trend of marine structures by learning historical data and current data. This prediction ability can help managers understand the potential risks of structures in advance and formulate effective preventive measures.

[0019] 3. Data classification and key monitoring: Based on the prediction results of the neural network learning subsystem, the system divides the collected data into key impact data and non-core data. The data collection subsystem continuously collects key impact data to ensure real-time monitoring of important data. This helps to optimize data collection strategies and improve monitoring efficiency.

[0020] 4. Efficient alarm mechanism: The monitoring and alarm subsystem performs real-time monitoring based on preset thresholds and collected key impact data. Once an abnormal situation is detected, the system will immediately trigger the alarm mechanism to ensure that managers can respond and handle the problem quickly. This helps improve the efficiency and accuracy of fault handling.

[0021] 5. Data storage and management: The data transmission and storage subsystem transmits and stores processed data in real time. This allows managers to easily access historical data, conduct trend analysis and fault tracing. At the same time, data storage and management also help ensure data security and integrity.

[0022] 6. Improve safety and reliability: The entire system improves the safety and reliability of marine structures through real-time monitoring, intelligent prediction and efficient alarm mechanism. This helps to reduce potential risks and reduce the probability of failure and the degree of loss.

[0023] 7. Reduce maintenance costs: Through intelligent prediction and key monitoring, the system can detect potential problems in advance and formulate preventive measures, thereby reducing the frequency and severity of failures. This helps to reduce maintenance costs and improve the economic benefits of marine structures.

[0024] In summary, the system for monitoring physical changes of marine structures of the present invention realizes real-time monitoring, intelligent prediction and efficient alarm functions of marine structures by integrating multiple advanced subsystems, providing a strong guarantee for the safe and stable operation of marine structures.

[0025] Furthermore, the physical parameters collected by the data acquisition subsystem include, but are not limited to: temperature, pressure, vibration frequency, displacement, current speed, current direction, salinity, wave height, wave period and tidal water level.

[0026] Beneficial effects: The range of physical parameters collected is wide, which can fully reflect the physical state of marine structures under different environmental conditions. This ensures the accuracy and completeness of the data and helps to analyze the health of the structure more accurately. Through real-time monitoring of multiple physical parameters, the system can detect possible faults or abnormalities of marine structures earlier. For example, abnormal vibration frequency or displacement may indicate damage or fatigue of a part of the structure. The collected parameters such as current speed, direction, salinity, etc. help to evaluate the adaptability of marine structures in different marine environments. This is crucial for designing more durable structures and formulating more reasonable maintenance plans. Comprehensive data monitoring and intelligent prediction capabilities can significantly improve the safety and reliability of marine structures. By promptly detecting and dealing with potential problems, the risk of structural failure can be reduced. Monitoring of marine environmental parameters (such as salinity, wave height, etc.) helps to assess the impact of marine structures on the surrounding environment, thereby formulating more environmentally friendly operation strategies.

[0027] Further, the data acquisition subsystem includes a data acquisition module, the data acquisition module includes a controller, a fixing component and a monitoring component, the fixing component includes a fastener and a base, the fastener is fixedly connected to the base, and the monitoring component is installed on a side of the base away from the fastener;

[0028] The monitoring component includes a shell, an outer wall of the shell is fixedly connected to a side of the base away from the fastener, a sensor array is embedded in the outer wall of the shell, a mounting groove is opened at the bottom of the shell, a plurality of vertical rods are fixedly connected in the mounting groove, a sleeve is rotatably matched on the vertical rod, a plurality of first fan blades are fixedly connected to the outer wall of the sleeve in a circumferential direction, and a speed sensor is installed on the sleeve;

[0029] The sensor array and the speed sensor are both connected to the controller signal. The controller converts the monitoring data of the speed sensor into water flow rate according to a preset algorithm, and then transmits the received sensor array data and water flow rate to the data transmission and storage subsystem for subsequent processing.

[0030] Beneficial effects: Through the fixed connection between the fastener and the base, the data acquisition module can be stably installed at the target position to ensure that a stable monitoring state can be maintained under various environmental conditions. At the same time, this design also makes the installation process more convenient and improves work efficiency. The setting of the sensor array enables the data acquisition module to monitor multiple physical parameters at the same time, such as temperature, pressure, vibration, etc. This multi-parameter monitoring capability provides a rich source of information for subsequent data analysis and processing. Through the combination of the vertical rod, sleeve, first fan blade and speed sensor, the data acquisition module can accurately measure the water flow rate. This flow rate measurement method is not only simple and reliable, but also can reflect the changes in water flow in real time, providing strong support for marine environmental monitoring. After the controller converts the sensor array data and the speed sensor data into water flow velocity, it can quickly transmit these data to the data transmission and storage subsystem. This efficient data processing and transmission capability ensures the real-time and accuracy of the data, providing a strong guarantee for subsequent decision support.

[0031] Furthermore, the fastener includes an arc plate, a connecting plate and a locking plate. The arc plate is fixedly connected to the base. A plurality of holes are provided at one end of the arc plate, the connecting plate and the locking plate. The end of the locking plate away from the holes is movably fitted with a first screw and a second screw. The thread directions of the first screw and the second screw are opposite. Nuts are sleeved on the first screw and the second screw, and the outer wall of the nut is fixedly connected to the second fan blade.

[0032] Beneficial effects: The hinged design of the arc plate and the base allows the fastener to have a certain adjustment angle when fixed, so as to adapt to installation surfaces of different shapes and curvatures. Through the holes on the arc plate, the connecting plate and the locking plate, combined with the first screw and the second screw, the fastener can be flexibly adjusted and fixed in multiple directions to ensure the stable installation of the data acquisition module. The first screw and the second screw adopt opposite thread directions, so that the two nuts can move toward or away from each other during rotation. This design allows the fastener to generate a stronger locking force when tightened, thereby ensuring that the data acquisition module can remain stably fixed even in harsh marine environments.

[0033] Further, the sensor array includes, but is not limited to, temperature sensors, pressure sensors, acceleration sensors, displacement sensors, direction sensors, salinity sensors, radar sensors, wave period sensors, and ultrasonic sensors.

[0034] Beneficial effects: By integrating multiple types of sensors, the sensor array can comprehensively monitor various physical parameters in the marine environment, such as temperature, pressure, vibration, displacement, direction, salinity, wave period, etc. This comprehensive monitoring capability provides rich data support for marine environmental monitoring. The sensor array can monitor changes in the marine environment in real time and respond quickly to various abnormal situations. Through timely data transmission and processing, potential problems can be quickly discovered and corresponding measures can be taken to ensure the safety and stable operation of marine structures. The fusion analysis of multiple sensor data can provide more comprehensive and in-depth marine environmental information. By comprehensively analyzing the relationship and change trend between different parameters, the overall condition of the marine environment can be more accurately assessed, providing a scientific basis for the development and utilization of marine resources.

[0035] Furthermore, the processing process of the data processing subsystem includes but is not limited to: data cleaning to eliminate noise and outliers in the data; data integration to merge data from multiple data sources to form a complete data set; data standardization to make data of different dimensions comparable; and feature extraction to extract features from the data that are important for prediction and analysis.

[0036] Beneficial effects: The data cleaning process can effectively eliminate noise and outliers in the data and improve the accuracy and reliability of the data. This is crucial for subsequent data analysis and prediction, and can ensure the accuracy and effectiveness of the results. The data integration process can merge data from multiple data sources to form a complete data set, which helps to eliminate data silos, provide more comprehensive and richer data support, and make the analysis results more comprehensive and accurate. Data standardization can make data of different dimensions comparable. This helps to eliminate data differences caused by different dimensions, making comparisons and analyses between different data sets more accurate and reliable. The feature extraction process can extract features from the data that are important for prediction and analysis. These features are often highly correlated with specific target variables and can effectively improve the performance and prediction accuracy of the model.

[0037] Furthermore, the data transmission and storage subsystem includes a database or a cloud. The data transmission and storage subsystem uses wireless communication technology to achieve remote transmission of data and uses a database or a cloud to store data.

[0038] Beneficial effects: Using wireless communication technology, the data transmission and storage subsystem can transmit the collected data to the remote monitoring center in real time. This enables experts and managers in the fields of marine environmental monitoring, marine resource development and marine disaster warning to understand the on-site situation in real time and make timely decisions. Data storage through databases or clouds can ensure the security and reliability of data. These storage solutions usually have powerful data backup and recovery mechanisms to prevent data loss or damage. In addition, access control can also ensure that data is not accessed or tampered with without authorization. The database or cloud has powerful data processing capabilities and can handle large amounts of data and perform efficient queries and analysis. This helps to extract valuable information from massive amounts of data and provide more comprehensive and in-depth data basis for decision support.

[0039] Furthermore, the neural network learning subsystem automatically adjusts the prediction model based on historical data and real-time data, using deep learning algorithms to capture complex patterns and trends in time series data and predict physical change trends of marine structures.

[0040] Beneficial effects: Deep learning algorithms can process large amounts of historical data and learn complex patterns and trends from them. This enables the neural network learning subsystem to more accurately predict the physical change trends of marine structures, such as stress changes and displacements of structures. The subsystem can automatically adjust and optimize the prediction model based on the input of real-time data. This adaptive learning capability enables the system to cope with dynamic changes in the marine environment and maintain the accuracy and reliability of prediction results. Through accurate predictions, the system can detect possible problems or risks of marine structures in advance and issue early warnings. This provides a valuable time window for the maintenance and management of marine structures, helping to prevent potential safety accidents and losses.

[0041] Furthermore, the alarm mechanism of the monitoring and alarm subsystem includes but is not limited to sound alarms, visual alarms, SMS notifications and email reminders.

[0042] Beneficial effects: Both audible and visual alarms can attract the attention of operators at the first time, ensuring that they can respond quickly to abnormal situations. This immediacy is crucial to the safety of marine structures and helps prevent potential safety accidents. In addition to traditional audible and visual alarms, the system also sends alarm information to relevant personnel through SMS notifications and email reminders. This multi-channel notification method ensures timely delivery of information, and even if the operator is not on site, the abnormal situation can be quickly understood and handled. Different alarm methods can meet different scenarios and user needs. For example, in a noisy environment, a visual alarm may be more effective; in a scenario that requires remote monitoring, SMS notifications and email reminders are more convenient. The system allows users to select or combine different alarm methods according to actual needs.

[0043] Furthermore, it also includes a user interface subsystem for displaying real-time monitoring data, prediction results and alarm information, and the display form includes but is not limited to charts, images or animations.

[0044] Beneficial effects: The user interface subsystem presents complex data and information to users in an intuitive and easy-to-understand way through charts, images or animations. This enables users to quickly obtain key information from monitoring data and understand the real-time status of marine structures. By displaying prediction results through charts or images, the user interface subsystem enables users to intuitively understand the future physical change trends of marine structures. This helps users predict possible problems in advance and provide a basis for the formulation of preventive measures. By integrating real-time monitoring data, prediction results and alarm information, the user interface subsystem provides users with comprehensive information support. This enables users to make more scientific and accurate decisions based on sufficient data and information, and improve decision-making efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A framework diagram of an embodiment of a system for monitoring physical changes of marine structures according to the present invention.

[0046] Figure 2 A right isometric view of a data acquisition module in an embodiment of a system for monitoring physical changes of marine structures of the present invention.

[0047] Figure 3 A left isometric view of a data acquisition module in an embodiment of a system for monitoring physical changes of marine structures of the present invention.

[0048] Figure 4 FIG. 1 is a top view of a data acquisition module in an embodiment of a system for monitoring physical changes of marine structures according to the present invention.

[0049] The figure marks in the drawings of the specification include: base 1, shell 2, mounting groove 201, vertical rod 202, sensor array 3, sleeve 4, first fan blade 401, arc plate 5, hole 501, connecting plate 6, locking plate 7, first screw 701, second screw 702, nut 8, second fan blade 801, fastening screw 9. DETAILED DESCRIPTION

[0050] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0051] In the description of the present invention, it is to be understood that the terms “longitudinal”, “lateral”, “vertical”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside” and “outside” etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0052] In the description of the present invention, unless otherwise specified and limited, it should be noted that the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a mechanical connection or an electrical connection, or it can be the internal connection of two components. It can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to the specific circumstances.

[0053] The following is further described in detail through specific implementation methods:

[0054] Embodiment 1, basically as attached Figure 1 Shown: A system for monitoring physical changes in a marine structure, comprising:

[0055] The data acquisition subsystem is used to collect the physical parameters of marine structures in real time. These physical parameters include but are not limited to: temperature, pressure, vibration frequency, displacement, current speed, current direction, salinity, wave height, wave period and tidal level, etc. These parameters can fully reflect the physical state of marine structures and provide rich information for subsequent data processing and analysis.

[0056] The data processing subsystem is used to process and analyze the raw data collected by the data acquisition subsystem. The data processing process mainly includes the following steps:

[0057] 1. Data cleaning: Eliminate noise and outliers in the data to improve the quality and reliability of the data.

[0058] 2. Data integration: Combine different physical parameters (such as temperature, pressure, vibration frequency, displacement, current speed, current direction, salinity, wave height, wave period and tidal level) to form a complete data set for subsequent analysis.

[0059] 3. Data standardization: Standardize the data to make data of different dimensions comparable and improve the accuracy of data analysis.

[0060] 4. Feature extraction: Extract features that are important for prediction and analysis from the data to provide a basis for subsequent prediction and monitoring.

[0061] The data transmission and storage subsystem is used to transmit and store the data processed by the data processing subsystem in real time. This subsystem uses wireless communication technology to achieve remote data transmission, ensuring the real-time and reliability of the data. At the same time, it uses database or cloud storage technology to store and manage the data for a long time, which is convenient for subsequent data query and analysis.

[0062] The neural network learning subsystem is used to predict the physical change trend of marine structures by learning historical data and data currently transmitted by the data transmission and storage subsystem. This subsystem uses deep learning algorithms to train and optimize large amounts of data to capture complex patterns and trends in time series data. Based on the data features extracted by the data processing subsystem, the neural network learning subsystem can automatically adjust the prediction model to improve prediction accuracy.

[0063] The monitoring and alarm subsystem is used to monitor the physical changes of marine structures in real time according to preset thresholds. When an abnormal situation is detected, this subsystem will immediately trigger the alarm mechanism and notify relevant personnel through sound alarms, visual alarms, SMS notifications, and email reminders. The setting of the alarm mechanism can be adjusted and optimized according to actual needs and monitoring tasks.

[0064] After the neural network learning subsystem predicts the physical change trend of the marine structure, the data collected by the data acquisition subsystem is divided into key impact data and non-core data according to the prediction results. The data acquisition subsystem continuously collects key impact data to ensure real-time tracking and monitoring of important physical changes. The monitoring and alarm subsystem performs real-time monitoring based on the preset thresholds and collected key impact data, and immediately triggers the alarm mechanism once an abnormal situation is detected.

[0065] In addition, the system of the present invention also includes a user interface subsystem for displaying real-time monitoring data, prediction results and alarm information. The user interface subsystem provides an intuitive data visualization function, which displays data in the form of charts, images or animations to help users better understand and analyze the physical changes of marine structures.

[0066] The specific implementation process is as follows: The data acquisition subsystem obtains the physical parameters of the marine structure in real time, such as temperature, pressure, vibration frequency and displacement, through the sensor network deployed on the marine structure. At the same time, the marine environmental parameters such as current speed, direction, wave height, period and tidal water level are obtained through marine measurement equipment (such as current meters, wave meters and tide meters). The collected data is transmitted to the data processing subsystem in real time through wired or wireless transmission methods, such as 4G / 5G network, WiFi or satellite communication.

[0067] The data processing subsystem preprocesses the received raw data, first eliminating noise through filtering technology, and then applying statistical methods to identify and replace outliers to improve data quality. Next, the data from different sensors and measuring devices are integrated according to timestamps and geographic location tags to form a complete data set. For subsequent data analysis and comparison, the data processing subsystem also performs standardization processing to convert the data into a unified dimension. Based on data preprocessing and integration, statistical and machine learning algorithms are used to extract key features from the data, such as long-term trends, cyclical changes, and abnormal patterns.

[0068] The data transmission and storage subsystem transmits the processed data to a remote data center or cloud server in real time through wireless communication technology. It uses relational database, NoSQL database or cloud storage technology to store and manage data for a long time. At the same time, the data transmission and storage subsystem is also responsible for establishing a data backup and recovery mechanism to ensure data security, and regularly inspects and evaluates data security.

[0069] The neural network learning subsystem uses historical data and real-time transmission data in the data transmission and storage subsystem to train deep learning models, such as recurrent neural networks (RNNs) or long short-term memory networks (LSTMs). The neural network learning subsystem automatically adjusts the parameters and structure of the prediction model based on the data features extracted by the data processing subsystem to improve the prediction accuracy, thereby being able to capture complex patterns and trends in time series data. Based on the trained model, the neural network learning subsystem predicts the physical change trends of marine structures and generates a prediction report.

[0070] Subsequently, based on the prediction results of the neural network learning subsystem, the data acquisition subsystem will make logical judgments to determine the data acquisition strategy. If the prediction results show that certain physical parameters are about to change significantly or exceed the preset threshold, these parameters will be identified as key impact data. The data acquisition subsystem will continue to collect key impact data with high frequency and high precision to ensure real-time tracking and monitoring of important physical changes. For non-core data, the data acquisition subsystem will reduce the collection frequency and accuracy to save energy and transmission bandwidth.

[0071] The monitoring and alarm subsystem monitors the physical changes of marine structures in real time based on preset thresholds and key impact data. When the physical parameters detected exceed the preset thresholds, the predicted results change significantly, or other abnormal conditions occur, the system will trigger the alarm mechanism. The alarm methods include but are not limited to sound alarms, visual alarms, SMS notifications, and email reminders to ensure that the alarm information can be quickly conveyed to relevant personnel. At the same time, the monitoring and alarm subsystem will also record the alarm information and processing process to provide a basis for subsequent analysis and improvement.

[0072] Finally, the user interface subsystem displays real-time monitoring data, prediction results, and alarm information in the form of intuitive charts, images, or animations. Users can view and analyze data at any time through the user interface subsystem, and adjust data acquisition parameters, data processing algorithms, and alarm thresholds as needed. In addition, the user interface subsystem also provides data export and report generation functions to facilitate data analysis and decision support. In terms of logical judgment, the user interface subsystem will control the user's access and operation rights to the data according to the user's authority and role, ensuring the security and privacy of the data.

[0073] Embodiment 2 is different from the above embodiment in that, as shown in the attached Figures 2 to 4 As shown: the data acquisition subsystem includes a data acquisition module, the data acquisition module includes a controller, a fixing component and a monitoring component, the fixing component includes a fastener and a base 1, the fastener is welded and fixed to the base 1, and the monitoring component is installed on the side of the base 1 away from the fastener; the fastener includes an arc plate 5, a connecting plate 6 and a locking plate 7, the arc plate 5 is welded and fixed to the base 1, and one end of the arc plate 5, the connecting plate 6 and the locking plate 7 are all provided with a plurality of holes 501, and the end of the locking plate 7 away from the hole 501 is movably matched with a first screw 701 and a second screw 702, the first screw 701 and the second screw 702 have opposite thread directions, and the first screw 701 and the second screw 702 are both sleeved with a nut 8, and the outer wall of the nut 8 is welded and fixed with a second fan blade 801.

[0074] The monitoring component includes a housing 2, the outer wall of the housing 2 is welded and fixed to the side of the base 1 away from the fastener, the outer wall of the housing 2 is embedded with a sensor array 3, the bottom of the housing 2 is provided with a mounting groove 201, a plurality of vertical rods 202 are welded and fixed in the mounting groove 201, a sleeve 4 is rotatably matched on the vertical rod 202, a plurality of first fan blades 401 are circumferentially welded and fixed on the outer wall of the sleeve 4, and a speed sensor is installed on the sleeve 4; the sensor array 3 includes but is not limited to a temperature sensor, a pressure sensor, an acceleration sensor, a displacement sensor, a direction sensor, a salinity sensor, a radar sensor, a wave period sensor, and an ultrasonic sensor. In this embodiment, the inner wall of the housing 2 is detachably connected with a power supply component, which provides power for all electrical components of the data acquisition module.

[0075] The sensor array 3 and the speed sensor are both connected to the controller signal. The controller converts the monitoring data of the speed sensor into water flow rate according to a preset algorithm, and then transmits the received sensor array 3 data and water flow rate to the data transmission and storage subsystem for subsequent processing.

[0076] The specific implementation process is as follows: When installing the data acquisition module, select an appropriate number of connecting plates 6 according to the size of the marine structure. Make sure that there are enough connecting plates 6 so that the fasteners can fit tightly on the marine structure. Use fastening screws 9 to connect the connecting plates 6 through the holes 501 to form a continuous frame. Make sure that the connection between the connecting plates 6 is firm and reliable. Through the holes 501 of the arc plate 5 and the connecting rod, use fastening screws 9 to fix one end of the connecting rod to the end of the arc plate 5 away from the base 1. Similarly, fix the locking plate 7 to the end of the connecting rod away from the arc plate 5. The fixing assembly (including the arc plate 5, the connecting plate 6 and the locking plate 7) is integrally sleeved on the marine structure to ensure that it fits tightly on the surface of the structure. When the position of the locking plate 7 is adjusted, use a wrench or other tool to tighten the nut 8 on the first screw 701 and the second screw 702 to ensure that the fasteners are firmly fixed on the marine structure.

[0077] After the installation is completed, the sensor array 3 on the housing 2 starts to work, that is, the temperature sensor, pressure sensor, acceleration sensor, displacement sensor, direction sensor, salinity sensor, radar sensor, wave period sensor and ultrasonic sensor respectively collect and monitor the temperature, pressure, vibration frequency, displacement, current direction, salinity, wave height, wave period and tidal water level of the marine structure in real time, and transmit the collected data to the controller, and the controller transmits the received data to the data processing subsystem.

[0078] When the ocean current flows, the current will impact the housing 2 of the monitoring component. This impact force is converted into power for the first blade 401, causing the first blade 401 to rotate with the flow of the current. The speed sensor installed near the first blade 401 will monitor the speed of the first blade 401 in real time and transmit the monitored data to the controller. The controller has a built-in preset algorithm that can calculate the current water flow rate based on the speed data of the first blade 401.

[0079] The first blade 401 can not only rotate to utilize the impact force of the water flow, but also disperse and guide the impacted water flow. Through the specific shape and angle design of the first blade 401, the water flow can be guided to different directions, thereby reducing the direct impact force of the water flow on the shell 2. This design of dispersing and guiding the water flow can greatly reduce the direct impact force of the water flow on the shell 2, thereby improving the stability and safety of the shell 2. Reducing the direct impact force can also reduce the wear and corrosion of the shell 2 and extend its service life. The monitoring component can better adapt to the impact of water flow with different flow rates and directions, and improves its adaptability to the marine environment.

[0080] The entire diversion process becomes more natural and smoother through the rotation and guiding action of the first blade 401. This helps to reduce the additional pressure generated when the water flow is blocked and reduces the stress of the monitoring component housing 2. The optimized diversion process reduces the additional pressure generated by the blocked water flow, thereby further enhancing the stability and safety of the monitoring component.

[0081] Based on the above embodiment, when water flows, it will also impact the second blade 801, thereby driving the second blade 801 to rotate. This rotation not only utilizes the kinetic energy of the water flow, but also transmits the rotational power to the nut 8 connected to the second blade 801 through a specific mechanical connection.

[0082] The thread directions of the first screw 701 and the second screw 702 are opposite. This design ensures that when the second blade 801 drives the nut 8 to rotate, the opposite effect will be produced. Specifically:

[0083] Clockwise rotation: When the second fan blade 801 drives the nut 8 to rotate clockwise, the nut 8 on the first screw rod 701 will move in the loosening direction, while the nut 8 on the second screw rod 702 will move in the tightening direction.

[0084] Counterclockwise rotation: On the contrary, when the second fan blade 801 drives the nut 8 to rotate counterclockwise, the nut 8 on the first screw rod 701 will move in the tightening direction, while the nut 8 on the second screw rod 702 will move in the loosening direction.

[0085] Regardless of the flow direction of the water flow (i.e., whether the second blade 801 rotates clockwise or counterclockwise), the nut 8 on at least one screw is in a tightened state. This design ensures that the fixing assembly can be firmly fixed on the marine structure, thereby resisting the impact of the water flow and the changes in the marine environment.

[0086] This fixing mechanism can adapt to the flow direction of the water flow without manual intervention or adjustment. Through the design of the double screw and nut 8, the fixing assembly can remain stable under any water flow conditions. Even in extreme marine environments, this fixing mechanism can ensure the safety and reliability of marine structures.

[0087] The above is only an embodiment of the present invention, and the common knowledge such as the known specific structure and / or characteristics in the scheme is not described in detail here. It should be pointed out that for those skilled in the art, several deformations and improvements can be made without departing from the structure of the present invention, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A system for monitoring physical changes in a marine structure, characterized in that include: Data acquisition subsystem, used to collect physical parameters of marine structures in real time; The data processing subsystem is used to process the raw data collected by the data acquisition subsystem; The data transmission and storage subsystem is used for real-time transmission and storage management of the data processed by the data processing subsystem; A neural network learning subsystem is used to predict the physical change trend of marine structures by learning historical data and data transmitted by the current data transmission and storage subsystem and extracting data features from the data processing subsystem; A monitoring and alarm subsystem for real-time monitoring of physical changes in marine structures based on preset thresholds; After the neural network learning subsystem predicts the physical change trend of the marine structure, the data collected by the data acquisition subsystem is divided into key impact data and non-core data according to the prediction results. The data acquisition subsystem continues to collect key impact data, and the monitoring and alarm subsystem performs real-time monitoring based on the preset threshold and the collected key impact data. Once an abnormal situation is detected, the alarm mechanism is immediately triggered; The data acquisition subsystem includes a data acquisition module, which includes a controller, a fixing component and a monitoring component. The fixing component includes a fastener and a base. The fastener is fixed to the base by welding, and the monitoring component is installed on the side of the base away from the fastener. The monitoring component includes a shell, an outer wall of the shell is fixedly connected to a side of the base away from the fastener, a sensor array is embedded in the outer wall of the shell, a mounting groove is opened at the bottom of the shell, a plurality of vertical rods are fixedly connected in the mounting groove, a sleeve is rotatably matched on the vertical rod, a plurality of first fan blades are fixedly connected to the outer wall of the sleeve in a circumferential direction, and a speed sensor is installed on the sleeve; The sensor array and the speed sensor are both connected to the controller signal. The controller converts the monitoring data of the speed sensor into water flow rate according to a preset algorithm, and then transmits the received sensor array data and water flow rate to the data transmission and storage subsystem for subsequent processing.

2. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: The physical parameters collected by the data acquisition subsystem include but are not limited to: temperature, pressure, vibration frequency, displacement, current speed, current direction, salinity, wave height, wave period and tidal water level.

3. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: The fastener includes an arc plate, a connecting plate and a locking plate. The arc plate is fixedly connected to the base. A plurality of holes are provided at one end of the arc plate, the connecting plate and the locking plate. The end of the locking plate away from the holes is movably matched with a first screw and a second screw. The thread directions of the first screw and the second screw are opposite. Nuts are sleeved on the first screw and the second screw, and the outer side wall of the nut is fixedly connected to the second fan blade.

4. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: The sensor array includes, but is not limited to, temperature sensors, pressure sensors, acceleration sensors, displacement sensors, orientation sensors, salinity sensors, radar sensors, wave period sensors, and ultrasonic sensors.

5. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: The processing process of the data processing subsystem includes but is not limited to: data cleaning to eliminate noise and outliers in the data; data integration to merge data from multiple data sources to form a complete data set; data standardization to make data of different dimensions comparable; and feature extraction to extract features from the data that are important for prediction and analysis.

6. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: The data transmission and storage subsystem includes a database or a cloud. The data transmission and storage subsystem uses wireless communication technology to achieve remote transmission of data and uses a database or a cloud to store data.

7. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: The neural network learning subsystem automatically adjusts the prediction model based on historical data and real-time data, using deep learning algorithms to capture complex patterns and trends in time series data and predict physical change trends of marine structures.

8. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: The alarm mechanisms of the monitoring and alarm subsystem include but are not limited to sound alarms, visual alarms, SMS notifications and email reminders.

9. The system for monitoring physical changes of marine structures according to claim 1, characterized in that: It also includes a user interface subsystem for displaying real-time monitoring data, prediction results and alarm information, and the display form includes but is not limited to charts, images or animations.

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