Marine steam pipeline wall thickness dynamic monitoring method, device and equipment and storage medium

Abstract

The invention discloses a method, device and equipment for dynamically monitoring the wall thickness of a marine steam pipeline and a storage medium, and relates to the technical field of ship engineering and pipeline monitoring, and the method comprises the steps: determining the measurement point position of the marine steam pipeline, and installing a vibration acceleration sensor at the determined measurement point position, so as to collect the vibration signal of each measurement point position in real time; spectral analysis is carried out on the collected vibration signals, and spectral features are extracted and input to a pre-established prediction model which is trained based on historical spectral feature data; and calculating wall thickness change of each measuring point position of the marine steam pipeline based on a prediction result of the prediction model, and realizing pipeline health state evaluation and early warning. According to the method, the spectral analysis and intelligent mode recognition technologies are combined, and real-time dynamic monitoring and health assessment of the wall thickness change of the marine steam pipeline are effectively achieved.

Description

Technical Field

[0001] The present application relates to the field of ship engineering and pipeline monitoring technology, and specifically to a method, device, equipment and storage medium for dynamic monitoring of the wall thickness of a marine steam pipeline. Background Art

[0002] Marine steam pipes are an integral part of a vessel's propulsion system, and their safety and reliability are directly linked to the vessel's operational safety and efficiency. However, due to the complex marine environment in which ships operate for extended periods, steam pipes can become thinner due to corrosion, wear, fatigue, and other factors. In severe cases, these pipes can even rupture or leak, resulting in serious safety incidents and economic losses.

[0003] Traditional steam pipe wall thickness inspection methods typically rely on offline testing methods, such as ultrasonic testing and magnetic particle testing. These methods are not only inefficient but also difficult to achieve real-time dynamic monitoring of the pipeline. Furthermore, due to the limited space and complex vibration environment of ships, the adaptability and reliability of traditional monitoring systems in marine environments still need to be improved.

[0004] Therefore, how to monitor the wall thickness changes of marine steam pipelines in real time, accurately and efficiently, and realize dynamic assessment and early warning of pipeline health status, has become an urgent problem that needs to be solved. Summary of the Invention

[0005] The present application provides a method, device, equipment and storage medium for dynamic monitoring of the wall thickness of marine steam pipes, which, combined with spectrum analysis and intelligent pattern recognition technology, effectively realizes real-time dynamic monitoring and health assessment of changes in the wall thickness of marine steam pipes.

[0006] In a first aspect, an embodiment of the present application provides a method for dynamically monitoring the wall thickness of a marine steam pipeline, the method comprising:

[0007] Determine the measurement point locations of the marine steam pipeline and install vibration acceleration sensors at the determined measurement points to collect vibration signals at each measurement point in real time;

[0008] Perform spectral analysis on the collected vibration signal, extract spectral features, and input them into a pre-created prediction model that has been trained based on historical spectral feature data;

[0009] Based on the prediction results of the prediction model, the wall thickness changes of each measuring point of the marine steam pipeline are calculated to realize pipeline health status assessment and early warning.

[0010] In conjunction with the first aspect, in one embodiment, determining the measurement point positions of the marine steam pipeline and installing vibration acceleration sensors at the determined measurement point positions to collect vibration signals at each measurement point position in real time specifically includes:

[0011] Determine vulnerable locations on the marine steam pipeline as measuring points, and install multiple vibration acceleration sensors at preset intervals at each measuring point;

[0012] Based on the installed vibration acceleration sensor, the vibration signal of each measuring point is collected in real time.

[0013] In conjunction with the first aspect, in one embodiment, the spectral analysis of the collected vibration signal, the extraction of spectral features, and the input of the spectral features into a pre-created prediction model that has been trained based on historical spectral feature data specifically include:

[0014] Perform spectrum analysis on the collected vibration signal through Fourier transform, convert the vibration signal into frequency domain, and extract the spectrum characteristics of the vibration signal;

[0015] The extracted spectrum features are input into a pre-created prediction model that has been trained based on historical spectrum feature data.

[0016] In combination with the first aspect, in one implementation, the spectral characteristics include frequency, amplitude, and energy distribution.

[0017] In conjunction with the first aspect, in one embodiment, the specific creation process of the prediction model is as follows:

[0018] Using artificial intelligence, deep learning algorithms, or traditional machine learning algorithms to build a prediction model for wall thickness change prediction based on spectral characteristics;

[0019] Historical spectrum feature data is acquired and marked to construct a training set, and the constructed prediction model is trained based on the training set.

[0020] In conjunction with the first aspect, in one embodiment, the wall thickness change of each measuring point of the marine steam pipeline is calculated based on the prediction results of the prediction model to achieve pipeline health status assessment and early warning, specifically including:

[0021] Based on the prediction results of the prediction model, the wall thickness changes of each measuring point of the marine steam pipeline are calculated;

[0022] Based on the changes in wall thickness at each measuring point and combined with health assessment indicators, the pipeline health status of the marine steam pipeline can be assessed and early warning can be issued.

[0023] In conjunction with the first aspect, in one embodiment, the pipeline health status assessment and early warning are implemented, wherein the early warning specifically includes:

[0024] The system monitors the wall thickness changes at each measuring point and the health status of the marine steam pipeline in real time. When the wall thickness changes at a certain measuring point are abnormal or the health status of the marine steam pipeline deteriorates, an early warning signal is used to generate an alarm. The monitoring results and pipeline health status assessment report are displayed through a visual interface.

[0025] In a second aspect, an embodiment of the present application provides a device for dynamically monitoring the wall thickness of a marine steam pipe, the device comprising:

[0026] A vibration signal acquisition module is used to determine the measurement point locations of the marine steam pipeline and install vibration acceleration sensors at the determined measurement point locations to collect vibration signals at each measurement point location in real time;

[0027] The spectrum feature extraction module is used to perform spectrum analysis on the collected vibration signal and extract spectrum features;

[0028] An intelligent pattern recognition module, which is used to create a prediction model and train the created prediction model based on historical spectrum feature data;

[0029] The wall thickness calculation and health assessment module is used to input the extracted spectral features into the prediction model to obtain the wall thickness changes at each measuring point of the marine steam pipeline and realize the pipeline health status assessment of the marine steam pipeline;

[0030] The alarm and visualization module is used to monitor the wall thickness changes at each measuring point or the pipeline health status of the marine steam pipeline, realize early warning, and display the monitoring results and pipeline health status assessment report through a visual interface.

[0031] In a third aspect, an embodiment of the present application provides a dynamic monitoring device for the wall thickness of a marine steam pipe, wherein the dynamic monitoring device for the wall thickness of a marine steam pipe comprises a processor, a memory, and a dynamic monitoring program for the wall thickness of a marine steam pipe stored in the memory and executable by the processor, wherein when the dynamic monitoring program for the wall thickness of a marine steam pipe is executed by the processor, the steps of the above-mentioned method for dynamic monitoring of the wall thickness of a marine steam pipe are implemented.

[0032] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a program for dynamic monitoring of the wall thickness of a marine steam pipe is stored. When the program for dynamic monitoring of the wall thickness of a marine steam pipe is executed by a processor, the steps of the above-mentioned method for dynamic monitoring of the wall thickness of a marine steam pipe are implemented.

[0033] The beneficial effects of the technical solutions provided in the embodiments of the present application include:

[0034] It can realize real-time dynamic monitoring of the wall thickness of marine steam pipes, improve monitoring efficiency and accuracy, and enhance adaptability and robustness to complex vibration environments based on vibration spectrum characteristics and intelligent pattern recognition technology; at the same time, it provides ship steam pipe health assessment and early warning functions, facilitating timely maintenance measures, extending the service life of the pipes, and ensuring the safety of ship operation. It is suitable for the narrow space and complex vibration environment of ships and has good practicality and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a flow chart of a method for dynamically monitoring the wall thickness of a marine steam pipe according to the present application;

[0036] Figure 2 This is a schematic diagram of the installation of the vibration acceleration sensor;

[0037] Figure 3 This is a schematic diagram of the functional modules of the dynamic monitoring device for the wall thickness of marine steam pipes used in this application;

[0038] Figure 4 This is a schematic diagram of the hardware structure of the dynamic monitoring equipment for the wall thickness of marine steam pipes used in this application. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0041] In the first aspect, an embodiment of the present application provides a method for dynamic monitoring of the wall thickness of a marine steam pipe, which realizes dynamic monitoring of the wall thickness of a marine steam pipe based on vibration spectrum characteristics and intelligent pattern recognition. By collecting vibration signals of the marine steam pipe and combining spectrum analysis and intelligent pattern recognition technology, real-time dynamic monitoring and health assessment of changes in the wall thickness of the marine steam pipe are realized.

[0042] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the dynamic monitoring method for the wall thickness of marine steam pipes in this application. Figure 1 As shown in the figure, the dynamic monitoring method of the wall thickness of marine steam pipes includes:

[0043] S1: Determine the measurement point locations of the marine steam pipeline and install vibration acceleration sensors at the determined measurement point locations to collect vibration signals at each measurement point location in real time;

[0044] S2: Perform spectrum analysis on the collected vibration signal, extract spectrum features, and input them into a pre-created prediction model that has been trained based on historical spectrum feature data;

[0045] S3: Based on the prediction results of the prediction model, the wall thickness changes of each measuring point of the marine steam pipeline are calculated to achieve pipeline health status assessment and early warning.

[0046] Furthermore, in one embodiment, the measurement point locations of the marine steam pipeline are determined, and vibration acceleration sensors are installed at the determined measurement point locations to collect vibration signals at each measurement point location in real time, specifically including:

[0047] S101: Determine vulnerable locations on the marine steam pipeline as measuring points, and install multiple vibration acceleration sensors at preset intervals at each measuring point;

[0048] S102: Based on the installed vibration acceleration sensor, the vibration signal of each measuring point is collected in real time.

[0049] Specifically, key positions of the marine steam pipeline are determined as measuring point positions. Key positions refer to vulnerable parts such as elbows and flanges. In actual applications, multiple measuring point positions are determined; then, multiple high-sensitivity vibration acceleration sensors are installed at preset distances at each measuring point position. Based on the installed multiple vibration acceleration sensors, real-time collection of vibration signals at each measuring point position on the marine steam pipeline is achieved.

[0050] For the installation of vibration acceleration sensor at a single measuring point, refer to Figure 2 As shown, first, an insulating gasket is arranged at the measuring point to isolate the electrical signal interference on the pipeline, and then a radial vibration acceleration sensor and an axial vibration acceleration sensor are arranged, and the radial vibration acceleration sensor and the axial vibration acceleration sensor are spaced at a preset distance. Figure 2 In the figure, reference numeral 1 represents a steam pipe, reference numeral 2 represents an insulating gasket, reference numeral 3 represents a radial vibration acceleration sensor, and reference numeral 4 represents an axial vibration acceleration sensor.

[0051] Furthermore, in one embodiment, spectrum analysis is performed on the collected vibration signal to extract spectrum features and input them into a pre-created prediction model that has been trained based on historical spectrum feature data, specifically including:

[0052] S201: performing spectrum analysis on the collected vibration signal through Fourier transform, converting the vibration signal into the frequency domain, and extracting the spectrum characteristics of the vibration signal;

[0053] S202: Input the extracted spectrum features into a prediction model that has been created in advance and trained based on historical spectrum feature data.

[0054] Specifically, the collected vibration signal is subjected to spectral analysis through Fourier transform or other spectral analysis methods, and the vibration signal is converted into the frequency domain, so as to extract the spectral characteristics of the vibration signal, including frequency components, amplitude distribution, etc. Specifically, the spectral characteristics include but are not limited to frequency, amplitude, energy distribution, etc.; the extracted spectral characteristics are then input into a prediction model that has been created in advance and trained based on historical spectral feature data. The prediction model can predict the wall thickness change at the corresponding measuring point based on the input spectral characteristics.

[0055] In this application, the specific creation process of the prediction model is as follows:

[0056] a: Use artificial intelligence, deep learning algorithms, or traditional machine learning algorithms to build a prediction model for wall thickness change prediction based on spectral characteristics;

[0057] b: Obtain historical spectrum feature data and mark it to construct a training set, and train the constructed prediction model based on the training set.

[0058] Specifically, artificial intelligence, deep learning algorithms or traditional machine learning algorithms are combined to construct a prediction model for predicting the change in wall thickness of marine steam pipes. Then, historical spectrum feature data is obtained and marked to obtain a training set. The constructed prediction model is trained using the training set and the prediction model is continuously optimized based on experience, so that the trained prediction model can predict the wall thickness of the measuring point location based on the spectrum characteristics of the vibration signal at the input measuring point location. When the corresponding spectrum characteristics of the measuring point location at different times are input into the prediction model, the wall thickness of the measuring point location at different times can be obtained, thereby obtaining the change in wall thickness at the measuring point location.

[0059] Furthermore, in one embodiment, the wall thickness variation of each measuring point of a marine steam pipeline is calculated based on the prediction results of the prediction model to implement pipeline health status assessment and early warning, specifically including:

[0060] S301: Based on the prediction results of the prediction model, calculate the wall thickness change of each measuring point of the marine steam pipeline;

[0061] S302: Based on the wall thickness changes at each measuring point and combined with health assessment indicators, the health status of the marine steam pipeline is assessed and an early warning is issued.

[0062] Specifically, the vibration signal is collected in real time and the converted spectral characteristics are input into the prediction model. The wall thickness changes at each measuring point are calculated based on real-time prediction. Based on the wall thickness changes at each measuring point and combined with health assessment indicators (remaining life, risk level, etc.), the health status of the marine steam pipeline can be evaluated based on work experience to determine whether the pipeline health status is good or deteriorating, thereby facilitating subsequent early warning operations.

[0063] In this application, pipeline health status assessment and early warning are implemented, wherein the early warning specifically includes: real-time monitoring of the wall thickness changes at each measuring point and the pipeline health status of the marine steam pipeline. When the monitoring shows that the wall thickness changes at a certain measuring point are abnormal or the health status of the marine steam pipeline deteriorates, an alarm is processed through a warning signal, and the monitoring results and pipeline health status assessment report are displayed through a visual interface.

[0064] Specifically, when monitoring detects abnormal changes in wall thickness at a certain measuring point or deterioration in the health of a marine steam pipeline, an alarm signal is issued through the corresponding alarm module for alarm processing. At the same time, the monitoring results and pipeline health status assessment report are displayed through a visual interface, facilitating rapid response and processing by crew members or maintenance personnel.

[0065] This application effectively addresses the limitations of traditional detection methods by collecting vibration signals in real time, extracting spectral features, and combining intelligent algorithms to predict wall thickness changes and assess pipeline health. This provides reliable technical support for the safe operation of marine steam pipelines. This dynamic monitoring method can also be expanded to monitor the wall thickness of other types of pipelines or containers.

[0066] The dynamic monitoring method for the wall thickness of marine steam pipes of the embodiments of the present application can realize real-time dynamic monitoring of the wall thickness of marine steam pipes, improve monitoring efficiency and accuracy, and enhance adaptability and robustness to complex vibration environments based on vibration spectrum characteristics and intelligent pattern recognition technology; at the same time, it provides a health assessment and early warning function for marine steam pipes, facilitates timely maintenance measures, extends the service life of the pipes, and ensures the safe operation of the ship. It is suitable for the confined spaces and complex vibration environments of ships and has good practicality and promotion value.

[0067] In a second aspect, an embodiment of the present application also provides a device for dynamically monitoring the wall thickness of a marine steam pipe.

[0068] In one embodiment, referring to Figure 3 , Figure 3 This is a functional module diagram of the dynamic monitoring device for the wall thickness of marine steam pipes used in this application. Figure 3As shown, the dynamic monitoring device for the wall thickness of a marine steam pipe includes: a vibration signal acquisition module, a spectrum feature extraction module, an intelligent pattern recognition module, a wall thickness calculation and health assessment module, and an alarm and visualization module.

[0069] The vibration signal acquisition module is used to determine the measurement point location of the marine steam pipeline and install vibration acceleration sensors at the determined measurement point location to collect the vibration signal of each measurement point location in real time; the spectrum feature extraction module is used to perform spectrum analysis on the collected vibration signal and extract the spectrum features; the intelligent pattern recognition module is used to create a prediction model and train the created prediction model based on historical spectrum feature data; the wall thickness calculation and health assessment module is used to input the extracted spectrum features into the prediction model to obtain the wall thickness changes at each measurement point location of the marine steam pipeline and realize the pipeline health status assessment of the marine steam pipeline; the alarm and visualization module is used to monitor the wall thickness changes at each measurement point location or the pipeline health status of the marine steam pipeline, realize early warning, and display the monitoring results and pipeline health status assessment report through a visual interface.

[0070] In a third aspect, an embodiment of the present application provides a dynamic monitoring device for the wall thickness of a marine steam pipe. The dynamic monitoring device for the wall thickness of a marine steam pipe can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0071] Reference Figure 4 , Figure 4 Schematic diagram of the hardware structure of the dynamic monitoring device for the wall thickness of a marine steam pipe involved in the embodiment of the present application. In the embodiment of the present application, the dynamic monitoring device for the wall thickness of a marine steam pipe may include a processor, a memory, a communication interface, and a communication bus.

[0072] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0073] Communication interfaces include input / output (I / O), physical, and logical interfaces, used to interconnect components within the marine steam pipe wall thickness dynamic monitoring system, as well as interfaces used to interconnect the system with other devices (such as other computing devices or user devices). Physical interfaces can include Ethernet, fiber optic, and ATM interfaces; user devices can include displays and keyboards.

[0074] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0075] The processor may be a general-purpose processor that can invoke a program for dynamically monitoring the wall thickness of a marine steam pipe stored in a memory and execute the method for dynamically monitoring the wall thickness of a marine steam pipe provided in the embodiments of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the program for dynamically monitoring the wall thickness of a marine steam pipe is invoked can be described in detail in the various embodiments of the method for dynamically monitoring the wall thickness of a marine steam pipe of the present application and will not be further described herein.

[0076] Those skilled in the art will understand that Figure 4 The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0077] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0078] The computer-readable storage medium of the present application stores a program for dynamic monitoring of the wall thickness of a marine steam pipe, wherein when the program for dynamic monitoring of the wall thickness of a marine steam pipe is executed by a processor, the steps of the method for dynamic monitoring of the wall thickness of a marine steam pipe as described above are implemented.

[0079] Among them, the method implemented when the dynamic monitoring program for the wall thickness of a marine steam pipe is executed can refer to the various embodiments of the dynamic monitoring method for the wall thickness of a marine steam pipe of the present application, and will not be repeated here.

[0080] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0081] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0082] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0083] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0084] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of the present application.

[0085] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for dynamic monitoring of the wall thickness of a marine steam pipe, characterized in that: The method for dynamically monitoring the wall thickness of a marine steam pipe comprises: Determine the measurement point locations of the marine steam pipeline and install vibration acceleration sensors at the determined measurement points to collect vibration signals at each measurement point in real time; Perform spectral analysis on the collected vibration signal, extract spectral features, and input them into a pre-created prediction model that has been trained based on historical spectral feature data; Based on the prediction results of the prediction model, the wall thickness changes of each measuring point of the marine steam pipeline are calculated to realize pipeline health status assessment and early warning.

2. A method for dynamic monitoring of wall thickness of a marine steam pipe according to claim 1, characterized in that: The method of determining the measuring point positions of the marine steam pipeline and installing vibration acceleration sensors at the determined measuring point positions to collect vibration signals at each measuring point position in real time specifically includes: Determine vulnerable locations on the marine steam pipeline as measuring points, and install multiple vibration acceleration sensors at preset intervals at each measuring point; Based on the installed vibration acceleration sensor, the vibration signal of each measuring point is collected in real time.

3. A method for dynamic monitoring of wall thickness of a marine steam pipe according to claim 1, characterized in that: The spectrum analysis of the collected vibration signal is performed to extract the spectrum features and input them into a pre-created prediction model that has been trained based on historical spectrum feature data, specifically including: Perform spectrum analysis on the collected vibration signal through Fourier transform, convert the vibration signal into frequency domain, and extract the spectrum characteristics of the vibration signal; The extracted spectrum features are input into a pre-created prediction model that has been trained based on historical spectrum feature data.

4. A method for dynamically monitoring the wall thickness of a marine steam pipe according to claim 3, characterized in that: The spectrum characteristics include frequency, amplitude, and energy distribution.

5. A method for dynamic monitoring of wall thickness of a marine steam pipe according to claim 1, characterized in that: For the prediction model, the specific creation process is as follows: Using artificial intelligence, deep learning algorithms, or traditional machine learning algorithms to build a prediction model for wall thickness change prediction based on spectral characteristics; Historical spectrum feature data is acquired and marked to construct a training set, and the constructed prediction model is trained based on the training set.

6. A method for dynamic monitoring of wall thickness of a marine steam pipe according to claim 1, characterized in that: The prediction results based on the prediction model are used to calculate the wall thickness changes of each measuring point of the marine steam pipeline, so as to realize the pipeline health status assessment and early warning, specifically including: Based on the prediction results of the prediction model, the wall thickness changes of each measuring point of the marine steam pipeline are calculated; Based on the changes in wall thickness at each measuring point and combined with health assessment indicators, the pipeline health status of the marine steam pipeline can be assessed and early warning can be issued.

7. A method for dynamically monitoring the wall thickness of a marine steam pipe according to claim 1, characterized in that: The pipeline health status assessment and early warning are implemented, wherein the early warning specifically includes: The system monitors the wall thickness changes at each measuring point and the health status of the marine steam pipeline in real time. When the wall thickness changes at a certain measuring point are abnormal or the health status of the marine steam pipeline deteriorates, an early warning signal is used to generate an alarm. The monitoring results and pipeline health status assessment report are displayed through a visual interface.

8. A dynamic monitoring device for the wall thickness of a marine steam pipe, characterized in that: The marine steam pipe wall thickness dynamic monitoring device comprises: A vibration signal acquisition module is used to determine the measurement point locations of the marine steam pipeline and install vibration acceleration sensors at the determined measurement point locations to collect vibration signals at each measurement point location in real time; The spectrum feature extraction module is used to perform spectrum analysis on the collected vibration signal and extract spectrum features; An intelligent pattern recognition module, which is used to create a prediction model and train the created prediction model based on historical spectrum feature data; The wall thickness calculation and health assessment module is used to input the extracted spectral features into the prediction model to obtain the wall thickness changes at each measuring point of the marine steam pipeline and realize the pipeline health status assessment of the marine steam pipeline; The alarm and visualization module is used to monitor the wall thickness changes at each measuring point or the pipeline health status of the marine steam pipeline, realize early warning, and display the monitoring results and pipeline health status assessment report through a visual interface.

9. A dynamic monitoring device for the wall thickness of a marine steam pipe, characterized in that: The marine steam pipe wall thickness dynamic monitoring device includes a processor, a memory, and a marine steam pipe wall thickness dynamic monitoring program stored in the memory and executable by the processor. When the marine steam pipe wall thickness dynamic monitoring program is executed by the processor, the steps of the marine steam pipe wall thickness dynamic monitoring method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program for dynamic monitoring of the wall thickness of a marine steam pipe, wherein when the program is executed by a processor, the steps of the method for dynamic monitoring of the wall thickness of a marine steam pipe as described in any one of claims 1 to 7 are implemented.

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