Suitability assessment method for liquid cargo tanks of chemical tankers based on corrosion allowance analysis

Abstract

The present invention discloses a method for evaluating the suitability of a liquid cargo tank of a chemical tanker based on corrosion margin analysis, and relates to the technical field of cargo tank suitability evaluation. The method comprises: obtaining material information and structural information of the liquid cargo tank of a chemical tanker, and configuring a test material sample; reading the cargo to be loaded on the ship, establishing a corrosion sample, and establishing a test environment; performing a corrosion test, and establishing a real-time data set; establishing a comprehensive fitting model; synchronizing the transportation time and environmental prediction results to the comprehensive fitting model, performing corrosion fitting, and establishing a corrosion fitting result; performing a suitability evaluation of the liquid cargo tank of a chemical tanker and the cargo to be loaded, and performing loading management according to the suitability evaluation result. The present invention solves the technical problems that the prior art has inaccurate evaluation of the suitability of the liquid cargo tank of a chemical tanker and the risks of ship transportation, and achieves the technical effect of realizing an accurate evaluation of the suitability of the liquid cargo tank of a chemical tanker and ensuring the reliability of ship transportation.

Description

Technical Field

[0001] The invention relates to the technical field of cargo hold suitability assessment, and in particular to a chemical tanker liquid cargo hold suitability assessment method based on corrosion margin analysis. Background Art

[0002] In the field of chemical tanker transportation, the suitability assessment of liquid cargo tanks is of vital importance. Since different chemicals have different corrosion characteristics and ships face complex and changeable environmental conditions during transportation, accurately assessing the suitability between the ship's liquid cargo tanks and the goods to be loaded is the key to ensuring transportation safety and cargo quality. Traditional suitability assessment methods often have certain limitations, considering only a single factor, such as the corrosion resistance of the material, while ignoring the impact of other key factors such as transportation time and environmental changes on the corrosion process. Moreover, there is a lack of effective consideration of mutations and data richness during the assessment process, resulting in inaccurate and incomplete assessment results.

[0003] The existing technology has technical problems such as inaccurate assessment of the suitability of liquid cargo tanks of chemical tankers and risks in ship transportation. Summary of the invention

[0004] The present application provides a method for evaluating the suitability of a liquid cargo tank of a chemical tanker based on corrosion allowance analysis, which is used to solve the technical problems in the prior art of inaccurate evaluation of the suitability of a liquid cargo tank of a chemical tanker and risks in ship transportation.

[0005] In view of the above problems, the present application provides a method for evaluating the suitability of a liquid cargo tank of a chemical tanker based on corrosion allowance analysis, the method comprising:

[0006] Obtain material information and structural information of the liquid cargo tank of a chemical tanker, and configure test material samples according to the material information and structural information; read the cargo to be loaded on the ship, establish corrosion samples based on the cargo to be loaded, and establish a test environment based on the storage conditions of the ship; place the test material samples and corrosion samples in the test environment, and when the test material samples and corrosion samples meet the steady-state threshold, perform corrosion testing, and monitor the test material samples in real time to establish a real-time data set; establish a comprehensive fitting model based on the real-time data set, and obtain transportation time and environmental prediction results; synchronize the transportation time and environmental prediction results to the comprehensive fitting model, perform corrosion fitting, and establish corrosion fitting results; conduct a suitability assessment of the liquid cargo tank of the chemical tanker and the cargo to be loaded based on the corrosion fitting results, and conduct loading management and perimeter design optimization of the liquid cargo tank of the chemical tanker based on the suitability assessment results.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] Obtain the material information and structural information of the liquid cargo tank of the chemical tanker, and configure the test material sample according to the material information and structural information; read the cargo to be loaded on the ship, establish corrosion samples based on the cargo to be loaded, and establish a test environment based on the storage conditions of the ship; place the test material sample and the corrosion sample in the test environment, perform corrosion testing, and monitor the test material sample in real time to establish a real-time data set; establish a comprehensive fitting model based on the real-time data set, and obtain the transportation time and environmental prediction results; synchronize the transportation time and environmental prediction results to the comprehensive fitting model, and establish a corrosion fitting result; conduct a suitability assessment of the liquid cargo tank of the chemical tanker and the cargo to be loaded based on the corrosion fitting results, and conduct loading management and optimization of the perimeter design of the liquid cargo tank of the chemical tanker based on the suitability assessment results. The technical effect of achieving an accurate assessment of the suitability of the liquid cargo tank of the chemical tanker and ensuring the reliability of ship transportation is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic flow chart of a method for evaluating the suitability of a liquid cargo tank of a chemical tanker based on corrosion allowance analysis provided in an embodiment of the present application;

[0011] Figure 2 A schematic diagram of a mutation threshold flow chart for establishing a method for evaluating the suitability of a liquid cargo tank of a chemical tanker based on corrosion allowance analysis provided in an embodiment of the present application. DETAILED DESCRIPTION

[0012] The present application provides a chemical tanker liquid cargo tank suitability assessment method based on corrosion allowance analysis, which is used to solve the technical problems in the prior art of inaccurate assessment of the suitability of chemical tankers liquid cargo tanks and risks in ship transportation.

[0013] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0014] Examples, such as Figure 1 As shown, the present application provides a method for evaluating the suitability of a liquid cargo tank of a chemical tanker based on corrosion allowance analysis, the method comprising:

[0015] Step S100: Obtain material information and structural information of a liquid cargo tank of a chemical tanker, and configure a test material sample according to the material information and structural information.

[0016] Specifically, first, it is necessary to obtain comprehensive material information of the liquid cargo tank of the chemical tanker, which includes information on the types of materials used in the liquid cargo tank of the chemical tanker, material characteristics, and its corrosion resistance. At the same time, it is also necessary to master the structural information of the liquid cargo tank of the chemical tanker in detail, such as the shape, size, layout of the tank body, and the connection method of each component. These material information and structural information have important guiding significance for subsequent testing and analysis. According to the acquired material information and structural information, it is necessary to configure the matching test material samples. The configuration of the test material samples needs to fully consider the characteristics and structural requirements of the liquid cargo tank materials of the chemical tanker to ensure the accuracy and reliability of the test results. For example, if the liquid cargo tank of the chemical tanker uses a special alloy material, the test material sample should also be configured with the same or similar alloy material. At the same time, the shape, size, etc. of the sample should also be reasonably designed according to the structural characteristics of the liquid cargo tank of the chemical tanker so as to better simulate the actual situation. Through the implementation of step S100, a solid foundation is provided for the subsequent evaluation work, ensuring the scientificity and effectiveness of the entire evaluation process.

[0017] Step S200: reading the cargo to be loaded on the ship, establishing a corrosion sample based on the cargo to be loaded, and establishing a test environment based on the storage conditions of the ship.

[0018] Specifically, first of all, it is necessary to read the relevant information of the cargo to be loaded on the ship, which includes understanding the chemical composition, corrosive characteristics and possible impact on the cargo tank of the chemical tanker. Through in-depth analysis of this information, the compatibility of the cargo tank of the chemical tanker with the cargo to be loaded can be better evaluated. Based on the characteristics of the cargo to be loaded, it is necessary to establish corrosion samples. The establishment of corrosion samples is intended to simulate the corrosion effect of the cargo on the cargo tank of the chemical tanker during the actual transportation process. This requires selecting appropriate materials and methods to make corrosion samples according to the corrosive composition and strength of the cargo to ensure that it can accurately reflect the actual situation. At the same time, it is also necessary to establish a test environment based on the storage conditions of the ship. The storage conditions of the ship include variable extreme ranges, such as temperature, humidity and other factors. These factors will have an important impact on the corrosiveness of the cargo, so it is necessary to accurately simulate these conditions in the test environment. For example, for some temperature-sensitive cargoes, it is necessary to set the corresponding temperature range in the test environment to observe its corrosion on the cargo tank of the chemical tanker at different temperatures. Similarly, factors such as humidity also need to be reasonably set and adjusted according to the actual situation. By establishing corrosion samples and simulating the storage conditions of the ship, a real and reliable testing environment can be provided for subsequent corrosion tests, thereby more accurately evaluating the suitability of the chemical tanker's liquid cargo tanks and the cargoes to be loaded.

[0019] Step S300: placing the test material sample and the corrosion sample into the test environment, performing a corrosion test when the test material sample and the corrosion sample meet a steady-state threshold, and monitoring the test material sample in real time to establish a real-time data set.

[0020] Specifically, the previously prepared test material samples and corrosion samples are carefully placed in a specially established test environment. This test environment is carefully set according to the storage conditions of the ship and contains variable extreme ranges, such as specific temperature, humidity and other factors. After the samples are placed, the status of the test material samples and corrosion samples will be continuously monitored, waiting for them to meet the steady-state threshold. The steady-state threshold is an important indicator, which indicates that the sample has reached a relatively stable state in the test environment. At this time, the corrosion test can obtain more accurate results. When the sample meets the steady-state threshold, the corrosion test will be performed. During the test, the test material samples will be monitored in real time, and their changes in the corrosion environment will be closely monitored. This real-time monitoring can capture every subtle change, including the surface corrosion degree of the material, changes in physical properties, etc. At the same time, these real-time data are recorded to establish a real-time data set. This data set contains rich information, such as the time point of monitoring, the specific changes of the samples, etc. These data will provide an important basis for subsequent analysis and evaluation, help to have a deeper understanding of the process and mechanism of corrosion, and accurately evaluate the suitability of the liquid cargo tank of the chemical tanker and the goods to be loaded.

[0021] Step S400: Establish a comprehensive fitting model based on the real-time data set, and obtain transportation time and environment prediction results.

[0022] Specifically, a neural network algorithm is used to establish a comprehensive fitting model. A neural network is a mathematical model that mimics the structure and function of a biological neural network. It consists of a large number of nodes (or neurons) connected to each other. The real-time data set is input into the neural network. These data include various corrosion-related factors, such as temperature, humidity, and the chemical composition of the corrosion sample. The neural network automatically learns the patterns and relationships in these data. In a neural network, each node receives input from other nodes and generates output through an activation function. These nodes are organized into multiple layers, including input layers, hidden layers, and output layers. The input layer receives input from real-time data sets, the hidden layer is responsible for data processing and feature extraction, and the output layer produces the final fitting results. By continuously adjusting the parameters of the neural network, such as the connection weights and biases between nodes, the neural network can gradually learn the complex relationships in the data, thereby establishing an accurate comprehensive fitting model.

[0023] At the same time, the transportation time and environmental prediction results will also be obtained. The transportation time is obtained based on information such as the ship's transportation plan and route, taking into account various factors that affect the transportation time, such as weather and routes, to determine a reasonable transportation time estimate. The environmental prediction results are obtained through the analysis of historical environmental data and the prediction of future weather and other factors. Taking into account the various environmental changes that the ship may encounter during transportation, such as fluctuations in temperature and humidity, these environmental factors are predicted in order to better evaluate the development trend of corrosion during transportation. Through the above steps, a fitting model that comprehensively considers multiple factors can be established, and key transportation time and environmental prediction results can be obtained, providing an important basis for subsequent corrosion fitting and suitability assessment.

[0024] Step S500: synchronizing the transportation time and environmental prediction results to the comprehensive fitting model, performing corrosion fitting, and establishing corrosion fitting results.

[0025] Specifically, the obtained transportation time and environmental prediction results are synchronously transmitted to the comprehensive fitting model. This comprehensive fitting model is established based on the real-time data set in the previous step, and it can comprehensively consider the impact of various factors on the corrosion situation. When the transportation time and environmental prediction results are input into the model, the model will start to perform the corrosion fitting operation. In this process, the model will use its internal algorithms and parameters to analyze and calculate the input data. The model will simulate the time span experienced by the goods during transportation according to the transportation time, and combine the prediction information of environmental factors such as temperature and humidity in the environmental prediction results to predict the corrosion of the chemical tanker liquid cargo tank and the goods to be loaded under such transportation conditions. Through the comprehensive analysis and calculation of various factors, the model will eventually establish a corrosion fitting result, which reflects the corrosion relationship and degree between the chemical tanker liquid cargo tank and the goods to be loaded under given transportation time and environmental conditions. The corrosion fitting result is crucial to evaluate the suitability of the chemical tanker liquid cargo tank. It can provide an important basis for subsequent decision-making, such as whether it is suitable to load the goods and what protective measures need to be taken, so as to ensure the safety and reliability of ship transportation.

[0026] Step S600: performing a suitability assessment of the chemical tanker's liquid cargo tank and the cargo to be loaded according to the corrosion fitting result, and performing loading management and perimeter design optimization of the chemical tanker's liquid cargo tank according to the suitability assessment result.

[0027] Specifically, the suitability of the chemical tanker cargo tank and the cargo to be loaded is comprehensively evaluated based on the previously obtained corrosion fitting results, and the corrosion degree, corrosion rate and impact on the chemical tanker cargo tank and the cargo to be loaded reflected in the corrosion fitting results are analyzed. If the corrosion fitting results show that under the expected transportation conditions, the chemical tanker cargo tank can withstand the corrosion of the cargo to be loaded, and will not threaten the quality and safety of the cargo, and will not cause excessive damage to the structure and performance of the chemical tanker cargo tank itself, then it can be considered that the chemical tanker cargo tank has good suitability for the cargo to be loaded. On the contrary, if the corrosion fitting results show that there are potential risks, such as excessive corrosion causing damage to the cargo or damage to the structure of the chemical tanker cargo tank, then it is necessary to further evaluate the severity of these risks and consider whether corresponding measures need to be taken, such as replacing the cargo tank material, adjusting the transportation conditions or selecting other more suitable cargoes. According to the suitability assessment results, loading management will be carried out. If the assessment result is suitable, then the loading operation can be carried out according to the normal process, and ensure that the status of the cargo tank and the cargo are closely monitored during transportation to ensure safety. If the evaluation result is unsuitable, it is necessary to make corresponding decisions according to the specific situation, including refusing to load the goods, taking additional protective measures or finding other solutions. Through accurate evaluation of corrosion fitting results and reasonable loading management, the safety and reliability of ship transportation can be guaranteed to the greatest extent, while also effectively protecting the quality of the goods and the interests of the cargo owners. In terms of the optimization of the perimeter design of the liquid cargo tank of a chemical tanker, according to the results of the suitability assessment, if it is found that certain areas or structures are prone to corrosion problems under the action of specific chemicals, the perimeter design can be improved in a targeted manner. For example, if the corrosion rate in a corner is high, it is possible to consider adjusting the shape of the cargo hold or strengthening the protective layer of the area, or re-planning the partition inside the cargo hold according to the corrosion characteristics of different chemicals, so that chemicals of different properties can be stored in more suitable areas to reduce the adverse effects on each other. At the same time, in the optimization of the perimeter design, it is also possible to combine environmental factors and transportation time factors to select more corrosion-resistant materials or improve insulation, ventilation and other designs to improve the overall corrosion resistance and suitability of the cargo hold.

[0028] In a possible implementation, step S400 further includes:

[0029] Step S410: Optimizing the parameters of a comprehensive fitting model based on the real-time data set. The comprehensive fitting model is as follows:

[0030]

[0031] Among them, CR(t) is the comprehensive fitting result, which represents the corrosion rate based on the change of temperature and medium concentration with time t. i represents the power of time, which is used to capture the complex time dependence of the corrosion rate. It is set from 1 to m, m is the order of the polynomial, and α i are the coefficients of the polynomial, different α i Corresponding to different time powers t i , j represents the power of the medium concentration, set from 1 to n, n is the order of the concentration polynomial, C(t) is the medium concentration of the corrosion sample, β j is the correlation coefficient of medium concentration, which is used to describe the relationship between corrosion rate and medium concentration C(t). j Corresponding to different concentration powers C(t) j , γ is the temperature correlation coefficient, which characterizes the effect of temperature on corrosion rate, T(t) is the temperature value at time t, and δ is the logarithmic correction term.

[0032] Specifically, the key step in establishing a comprehensive fitting model is to optimize parameters, which requires in-depth analysis of various relevant data in the real-time data set. These data contain various information related to the corrosion process, such as changes in time, temperature, medium concentration and other factors. Through precise analysis and calculation of these data, the aim is to determine the optimal values ​​of each parameter in the comprehensive fitting model so that the model can most accurately characterize the complex relationship between corrosion rate and these factors.

[0033] CR(t) is the comprehensive fitting result, which accurately characterizes the evolution of corrosion rate based on temperature and medium concentration over time t, where i represents the power of time, ranging from 1 to m, and m defines the order of the polynomial, α i are the coefficients of the polynomial, and different α i With different time powers t i Correspondingly, this design is used to accurately capture the complex time dependence of the corrosion rate. At the same time, j represents the power of the medium concentration, and its value range is set from 1 to n, where n is the order of the concentration polynomial, C(t) is the medium concentration of the corrosion sample, and β j is the correlation coefficient of medium concentration, which is used to describe in detail the relationship between corrosion rate and medium concentration C(t). j Corresponding to different concentration powers C(t) j In addition, γ is the temperature correlation coefficient, which is specifically used to characterize the important influence of temperature on the corrosion rate, while T(t) represents the temperature value at time t, and δ is the logarithmic correction term, which prevents the logarithmic function from generating invalid values ​​when the temperature T(t) is 0 or negative, and is usually set to a small positive number.

[0034] In summary, through such a carefully constructed comprehensive fitting model, the comprehensive influence of multiple factors such as time, temperature, medium concentration, etc. on the corrosion rate can be fully considered, thus providing a solid and accurate foundation for subsequent corrosion fitting and suitability assessment of chemical tanker liquid cargo tanks and cargoes to be loaded.

[0035] In a possible implementation, step S500 further includes:

[0036] Step S510: Establish a mutation threshold.

[0037] Step S520: configure the mutation integral according to the comprehensive fitting result, as follows:

[0038] CI 突变 =Σ l (|CR″(t l )|·Δt·1(|CR″(t l )|>∈)

[0039] Among them, CI 突变 is the mutation integral, which represents the cumulative impact of mutations in the entire corrosion process, l is the index of the time series, and t l Characterizes the lth time point, CR″(t l ) is the time t l The second-order derivative at , Δt is a fixed time step, 1(|CR″(t l )|>∈) is the indicator function, when |CR″(t l )|>∈, the function value is 1, otherwise it is 0, and ∈ is the mutation threshold.

[0040] Step S530: compensating the corrosion fitting result according to the mutation integral.

[0041] Specifically, establishing a mutation threshold is an important part of the process. Material characteristics analysis is performed based on the test material samples and corrosion samples, and the first mutation threshold is established based on the analysis results. This threshold reflects the degree of influence of the material's own characteristics on the corrosion mutation. At the same time, the environmental impact analysis is performed on the test material samples to establish the second mutation threshold. This threshold reflects the degree of influence of environmental factors on the corrosion mutation. Then, adaptive weights are configured based on the first mutation threshold and the second mutation threshold, and the material characteristics and environmental impact are comprehensively considered to finally establish the mutation threshold.

[0042] According to the comprehensive fitting results, the mutation integral is configured. The calculation formula of the mutation integral is CI 突变 =∑ l (|CR″(t l )|·Δt·1(|CR″(t l )|>∈))where CI 突变Characterizes the cumulative impact of mutations during the entire corrosion process, l is the index of the time series, t l Characterizes the lth time point, CR″(t l ) is the time t l The second-order derivative at , Δt is a fixed time step, 1(|CR″(t l )|>∈) is the indicator function, when |CR″(t l )|>∈, the function value is 1, otherwise it is 0, and ∈ is the mutation threshold.

[0043] By analyzing the size and distribution of the mutation integral, we can understand the degree and frequency of mutations in the corrosion process. If the mutation integral is large, it means that there are more significant mutations in the corrosion process, and the corrosion fitting results need to be adjusted accordingly to more accurately reflect the actual corrosion situation. When performing compensation, the relevant parameters in the corrosion fitting results are corrected according to the specific value of the mutation integral. For example, parameters such as corrosion rate and corrosion degree can be adjusted to make them more consistent with the actual observed corrosion conditions. Such compensation can improve the accuracy and reliability of the corrosion fitting results and provide a more reliable basis for subsequent suitability assessment and loading management. By compensating for the corrosion fitting results, we can better cope with the uncertainty and mutations in the corrosion process, thereby improving the accuracy and reliability of the suitability assessment of the liquid cargo tank of a chemical tanker and ensuring the safety and stability of ship transportation.

[0044] In one possible implementation, Figure 2 As shown, step S510 also includes:

[0045] Step S511: performing material property analysis according to the test material sample and the corrosion sample, and establishing a first mutation threshold based on the analysis results.

[0046] Step S512: Performing an environmental impact analysis on the test material sample to establish a second mutation threshold.

[0047] Step S513: configuring an adaptive weight according to the first mutation threshold and the second mutation threshold to establish a mutation threshold.

[0048] Specifically, the test material samples are tested in detail, including analysis of their chemical composition, physical properties, microstructure, etc. At the same time, the corrosion samples will also be studied in depth to understand their corrosion characteristics, corrosion products and other information. Through the comprehensive analysis of these samples, their reaction characteristics under different conditions can be obtained, such as the changes in corrosion rate and corrosion mode under different environmental factors such as temperature, humidity, and medium concentration. Based on these analysis results, the stability, corrosion resistance and possible mutation tendency of the material can be determined. Based on the in-depth understanding of the material properties, combined with historical data and empirical models, the first mutation threshold is established. This threshold is set based on the characteristics of the material itself, and it reflects the critical value of the material mutation under specific conditions. When the corrosion behavior of the material exceeds this threshold, it can be considered that a mutation has occurred.

[0049] The test material samples are placed under various simulated environmental conditions, including but not limited to changes in temperature, humidity, pressure, light, etc. Under different environmental conditions, the corrosion of the test material samples is closely observed, and the speed, degree and changes in corrosion morphology are recorded. By collecting and analyzing these data, the specific way and degree of influence of environmental factors on material corrosion can be determined. For example, it is found that temperature increase can significantly accelerate the corrosion rate of materials, or specific humidity conditions can cause changes in corrosion morphology. Based on these observations and analysis results, a second mutation threshold can be established. The second mutation threshold reflects the degree of effect of environmental factors on corrosion mutation. When the change in environmental conditions reaches or exceeds this threshold, the corrosion behavior of the material may mutate, such as a sudden sharp increase in corrosion rate or a fundamental change in corrosion mode. The establishment of this threshold helps to predict and prevent corrosion mutations caused by environmental changes in practical applications, and provides an important reference for the suitability assessment of liquid cargo tanks of chemical tankers, ensuring that ships can safely and reliably load goods during transportation.

[0050] It is clear that the first mutation threshold is established based on the material property analysis of the test material sample and the corrosion sample, which mainly reflects the influence of the material's own properties on the corrosion mutation; while the second mutation threshold is obtained by analyzing the environmental impact of the test material sample, which reflects the degree of effect of environmental factors on the corrosion mutation. In order to establish the mutation threshold more accurately, it is necessary to configure adaptive weights for the first mutation threshold and the second mutation threshold according to the actual situation. This process will consider a variety of factors, such as the type of material, the characteristics of the use environment, the statistical results of historical data, etc. By comprehensively analyzing these factors, the proportion of each threshold in the overall mutation threshold can be determined. For example, if the material itself is sensitive to corrosion mutation, a higher weight will be configured for the first mutation threshold; if the change of environmental factors has a greater impact on corrosion mutation, the weight of the second mutation threshold may be increased accordingly. After configuring the adaptive weight, the first mutation threshold and the second mutation threshold are weighted and summed according to the weight to establish the final mutation threshold. This mutation threshold comprehensively considers the material properties and environmental impact, and can more accurately reflect the possibility of corrosion mutation in actual situations. The mutation threshold established in this way can provide a more reliable basis for subsequent corrosion fitting and suitability assessment, help to more accurately judge the suitability of the liquid cargo tanks of chemical tankers and the goods to be loaded, and ensure the safety and stability of ship transportation.

[0051] In a possible implementation, step S530 further includes:

[0052] Step S531: call a mutation node and obtain the timing distribution of the mutation node.

[0053] Step S532: performing mutation density evaluation according to the time series distribution and establishing mutation density compensation.

[0054] Step S533: After updating the mutation integral with the mutation density compensation, the corrosion fitting result compensation is performed with the updated mutation integral.

[0055] Specifically, the operation of calling mutation nodes is performed. Mutation nodes are specific points of great significance in the corrosion process. They represent sudden changes in corrosion rate or other related parameters. By calling these mutation nodes, information related to them can be obtained, the most important of which is the temporal distribution of mutation nodes. The temporal distribution reflects the order and interval of the occurrence of mutation nodes on the time axis, which means that it is possible to understand how mutation nodes occur over time and how long the time intervals between them are. By obtaining this information, the pattern and trend of mutations in the corrosion process can be deeply analyzed. For example, it will be found that mutation nodes appear frequently in certain time periods, but relatively less in other time periods. Or, it will be observed that the time intervals between mutation nodes show a certain regularity or randomness. This information is very important for further understanding the nature and characteristics of the corrosion process, and provides a basis for subsequent mutation density evaluation and compensation.

[0056] According to the obtained time series distribution of mutation nodes, mutation density evaluation will be performed. The purpose of mutation density evaluation is to measure the frequency of mutations in a specific time period. By analyzing the frequency and interval of mutation nodes in the time series distribution, the mutation density in different time periods is determined. If the mutation nodes appear more frequently in a certain time period, it means that the mutation density in this time period is high; conversely, if the mutation nodes appear less and the interval is larger, the mutation density is low. Based on the evaluation results of mutation density, mutation density compensation is established. Mutation density compensation is a mechanism for adjusting and correcting corrosion fitting results. It takes into account the impact of mutation density on the corrosion process and aims to more accurately reflect the actual corrosion situation. For example, if the mutation density is high, it means that there are more unstable factors in the corrosion process, which will lead to faster corrosion rate or changes in corrosion mode. Therefore, when establishing mutation density compensation, the adjustment range of the corrosion fitting results will be increased accordingly to better adapt to this situation. On the contrary, if the mutation density is low, it means that the corrosion process is relatively stable. At this time, the mutation density compensation will be relatively small, and the adjustment of the corrosion fitting results will be relatively mild. By establishing mutation density compensation, the mutation situation in the corrosion process can be described more accurately, the accuracy and reliability of the corrosion fitting results can be improved, and stronger support can be provided for subsequent corrosion assessment and suitability judgment.

[0057] The mutation integral is updated using the previously established mutation density compensation. The mutation integral is obtained based on previous calculations and analysis, and it reflects the cumulative effect of mutations in the corrosion process. By applying mutation density compensation to the mutation integral, the actual effect of mutations in the corrosion process can be more accurately reflected. The mutation density compensation will adjust the mutation integral accordingly according to the density and intensity of the mutation. If the mutation density is high, the compensation will increase the value of the mutation integral to emphasize the important effect of mutations on corrosion; conversely, if the mutation density is low, the compensation will reduce the value of the mutation integral to more reasonably reflect the actual situation of corrosion. After the update of the mutation integral is completed, the compensation of the corrosion fitting result will be performed with the updated mutation integral. The corrosion fitting result is obtained based on previous tests and analysis, and it describes the general trend and degree of corrosion. However, due to the existence of mutations, the corrosion fitting result needs to be adjusted to more accurately reflect the actual situation. By using the updated mutation integral, the corrosion fitting result can be finely compensated, which means that the impact of corrosion on the liquid cargo tanks and the cargo to be loaded of chemical tankers can be more accurately assessed, so that the suitability assessment can be more reliably performed. For example, if the updated mutation integral indicates that the impact of corrosion is more serious than previously expected, the degree and speed of corrosion will be adjusted accordingly in the corrosion fitting result compensation to ensure the accuracy of the suitability assessment. In this way, when conducting loading management, more reasonable decisions can be made based on more accurate assessment results to ensure the safety and reliability of ship transportation.

[0058] In a possible implementation, step S400 further includes:

[0059] Step S420: Acquire the calibrated transportation time, perform abnormal impact expansion on the calibrated transportation time, and construct the transportation duration based on the abnormal impact expansion result.

[0060] Step S430: Perform transport fitting on the liquid cargo tank of the chemical tanker, establish environmental extreme values, and build environmental prediction results based on the environmental extreme values.

[0061] Specifically, we first need to obtain the calibrated transportation time, which is the approximate transportation time determined based on conventional transportation plans and experience. However, the actual transportation process will be affected by various abnormal factors, resulting in changes in transportation time. Therefore, it is necessary to expand the calibrated transportation time for abnormal impacts. Abnormal impact expansion takes into account various factors that cause the transportation time to be extended or shortened, such as sudden weather changes, traffic congestion, ship failures, etc. Through the analysis and evaluation of these abnormal factors, the calibrated transportation time is adjusted accordingly to more accurately reflect the actual transportation situation. Based on the results of abnormal impact expansion, the final transportation time is constructed. This transportation time takes into account various uncertainties and can provide a more reliable time basis for subsequent corrosion fitting and suitability assessment.

[0062] Collect relevant information about the liquid cargo tank of the chemical tanker, such as size, structure, thermal insulation performance, etc., as well as the ship's navigation route, season, historical meteorological data, etc. Then, preprocess and extract features of these data, convert the navigation route into a sequence of geographic coordinates, extract seasonal features, calculate the statistics of historical meteorological data, etc. Next, build a multi-layer neural network model, which includes an input layer, a hidden layer, and an output layer. The input layer receives the data processed by feature engineering, the hidden layer performs feature learning and pattern recognition, and the output layer predicts environmental extremes. The neural network model is trained using historical data, and the parameters of the model are adjusted so that the model can accurately predict environmental extremes. The information and transportation plan of the current liquid cargo tank of the chemical tanker are input into the trained model, and the model performs transportation fitting to predict the environmental extremes that may occur during transportation, such as the highest temperature, the lowest temperature, the maximum humidity, etc. Finally, based on the environmental extremes, combined with historical data and the prediction ability of the model, the environmental prediction results are constructed, including the possible range of temperature and humidity in different time periods during transportation, and the probability of extreme environments. In this way, the environmental conditions of the liquid cargo tanks of chemical tankers during transportation can be assessed more accurately, providing a reliable basis for subsequent corrosion fitting and suitability assessment.

[0063] In a possible implementation, step S600 further includes:

[0064] Step S610: Establishing a calibration evaluation thickness.

[0065] Step S620: obtaining the remaining fitting thickness based on the corrosion fitting result.

[0066] Step S630: performing a close comparison between the remaining fitting thickness and the calibrated evaluation thickness to establish a close comparison result.

[0067] Step S640: calling the fitability evaluation database based on the approximate comparison result to establish a fitability evaluation result.

[0068] Specifically, establishing the calibration assessment thickness is a key step, and the determination of the calibration assessment thickness requires comprehensive consideration of multiple factors. First, it is necessary to refer to the design specifications and requirements of the liquid cargo tanks of chemical tankers. These specifications usually stipulate the minimum thickness that the cargo tanks should have under different conditions of use to ensure the structural strength and safety of the cargo tanks. In addition, the material properties used in the cargo hold need to be considered. Different materials have different corrosion resistance and strength properties. Therefore, when determining the calibration assessment thickness, it is necessary to evaluate the degree of corrosion during transportation based on the properties of the material and determine the appropriate thickness accordingly. At the same time, the operating environment and transportation mission of the ship also need to be considered. If the ship often sails in harsh marine environments, or the transported goods are highly corrosive, then the calibration assessment thickness needs to be increased to improve the durability and reliability of the cargo hold.

[0069] It is crucial to obtain the remaining fitting thickness based on the previously obtained corrosion fitting results. The corrosion fitting results are obtained by simulating and analyzing the corrosion of the liquid cargo tank of the chemical tanker, which reflects the thickness loss of the cargo tank due to corrosion during transportation. The corrosion fitting results are analyzed in detail to extract information related to thickness loss, including corrosion rate, corrosion time, and corrosion distribution. Then, based on the corrosion rate and corrosion time, the thickness of the cargo tank that has been lost at the current moment can be calculated. Then, the remaining fitting thickness can be obtained by subtracting the lost thickness from the initial thickness of the cargo tank. The remaining fitting thickness obtained in this way can accurately reflect the actual thickness of the cargo tank in the current state, providing important data support for subsequent suitability assessment.

[0070] The close comparison between the remaining fitting thickness and the calibrated assessment thickness is a key step in assessing the suitability of the liquid cargo tank of a chemical tanker. First of all, it is clear that the remaining fitting thickness represents the actual remaining thickness of the cargo hold. It is calculated based on the corrosion fitting results and reflects the current status of the cargo hold after a certain period of corrosion. The calibrated assessment thickness is a key thickness value predetermined based on a series of design standards, material properties and safety requirements. It symbolizes the minimum thickness standard for the cargo hold to maintain safe operation and effective loading. Then, the close comparison operation begins, and the two thickness values ​​are numerically compared to analyze the difference between the remaining fitting thickness and the calibrated assessment thickness. If the remaining fitting thickness is very close to the calibrated assessment thickness, or even close to or lower than the calibrated assessment thickness in some cases, it means that the thickness condition of the cargo hold is already in a critical state, and its structural integrity and safety may be threatened. During the comparison process, the results of the close comparison will be determined according to some set thresholds and rules. For example, a minimum allowable safety margin can be set. When the difference between the remaining fitting thickness and the calibrated assessment thickness is less than this safety margin, it can be considered that the cargo hold is in a state that requires close attention or even measures. Finally, based on the results of comparison and analysis, a close comparison result is established. This result is a numerical comparison conclusion, such as "the remaining fitting thickness is X mm greater than the calibrated assessment thickness" or "the difference between the remaining fitting thickness and the calibrated assessment thickness is within a safe range", etc. These results will provide important basis for subsequent fitment assessment and decision-making.

[0071] The close comparison results play a key guiding role. After obtaining the close comparison results of the remaining fitting thickness and the calibrated assessment thickness, the suitability assessment database is called based on this result. The suitability assessment database stores a wealth of information, including various suitability standards and assessment parameters corresponding to different cargo categories. First of all, it is necessary to clarify the cargo category loaded on the ship, such as sulfuric acid. For sulfuric acid, a specific cargo, it has unique chemical properties and corrosion characteristics. According to the information that the cargo is sulfuric acid, the corresponding corrosion test is carried out. During the corrosion test, the actual storage and transportation environment of sulfuric acid in the liquid cargo tank of a chemical tanker is simulated to observe the corrosion reaction and changes of the cargo tank material in this environment. If the cargo hold shows that it can meet the requirements for loading sulfuric acid in the corrosion test, that is, the corrosion degree of the cargo hold is within an acceptable range, and combined with the previous thickness assessment, the material situation can be further considered. If the cargo hold meets the requirements, according to the characteristics of sulfuric acid and the actual performance of the cargo hold, under certain conditions, it can save a little material compared with the thickness of the general standard. Finally, by integrating all these factors and test data, a suitability assessment result is established. This result will clearly indicate whether the liquid cargo tank of a chemical tanker is suitable for loading sulfuric acid, including the assessment conclusions on the structural integrity, corrosion resistance, and thickness of the cargo tank, etc., providing a strong basis and guidance for the ship's loading decisions and safe transportation.

[0072] In a possible implementation, step S600 further includes:

[0073] Step S650: Evaluate the richness of samples based on the real-time data set and establish a sample richness evaluation result.

[0074] Step S660: Generate a prediction trustworthy identifier based on the sample richness evaluation result.

[0075] Step S670: Cargo management and perimeter design optimization of the chemical tanker liquid cargo tank are performed using the predicted credible identification and suitability assessment results.

[0076] Specifically, evaluating the richness of samples in real-time data sets is a key link. First of all, real-time data sets are a collection of information related to liquid cargo tanks and cargoes of chemical tankers, which is constantly updated and obtained at the current moment. In order to evaluate the richness of samples, these data will be analyzed from multiple perspectives. On the one hand, the diversity of data will be examined, including different parameter types covered by the data, such as temperature, humidity, pressure, chemical composition of cargo, material properties of cargo holds, etc. If the data set contains multiple different types of parameters, it means that the data has a certain diversity in parameter types, which is conducive to a more comprehensive understanding of the status of cargo holds and cargoes. On the other hand, the integrity of the data will also be evaluated. The integrity mainly depends on whether there are missing values ​​or incomplete records in the data. If the various parameters in the data set have relatively complete records in time series and spatial distribution, without obvious missing or discontinuities, then the integrity of the data is high. At the same time, the size of the data is also an important consideration. A sufficiently large amount of data can provide a more reliable statistical analysis basis and help discover potential laws and trends. If the amount of data is too small, it may lead to inaccurate and unreliable analysis results. By comprehensively considering these factors, the sample richness of the real-time data set is quantitatively evaluated. For example, according to certain scoring criteria, certain weights and scores can be assigned to diversity, completeness, and data volume, and then a comprehensive evaluation score can be calculated. Based on this score, the level of sample richness can be determined, such as high richness, medium richness, low richness, etc., and finally the sample richness evaluation result can be established. This result will provide an important basis for subsequent operations and decisions, because samples with high richness can usually provide more accurate and reliable analysis results.

[0077] After the sample richness evaluation result is obtained, the next step will be carried out according to the pre-set rules and standards. If the sample richness evaluation result shows high richness, it means that the data set performs well in terms of diversity, completeness and data volume. In this case, the generated prediction credibility mark will tend to be high credibility. Because rich, diverse and complete data can provide a solid foundation for prediction and analysis, the conclusions and predictions based on these data are more reliable. For example, when the data set contains various environmental parameter changes over a long span, detailed characteristics of the cargo, and accurate status information of the cargo hold, and there is no obvious data missing or abnormality, it can be considered that the data quality is high and the corresponding prediction result credibility is also high. At this time, the generated prediction credibility mark will be "highly credible" or represented by a high-level mark. On the contrary, if the sample richness evaluation result is low richness, it may be due to problems such as a large number of missing data, a single type or insufficient data volume. In this case, the generated prediction credibility mark will be low credibility. Because such data may not accurately and comprehensively reflect the actual situation, the prediction and analysis based on these data will have greater uncertainty and errors. By combining the sample richness evaluation results with specific rules and standards, it is possible to accurately generate prediction credibility labels, providing intuitive information about the credibility of the prediction results for subsequent decision-making and operations.

[0078] The prediction trust mark provides an important reference for loading management on data reliability and prediction accuracy. If the prediction trust mark shows high confidence, it indicates that the data set used for evaluation is rich, complete and reliable, and the relevant conclusions and suggestions based on this are highly reliable. For example, when preparing to load a batch of specific goods, if the prediction trust mark is high confidence and the suitability assessment results show that the cargo hold is suitable for loading the goods, then the loading operation can be carried out smoothly without additional verification. However, if the prediction trust mark is low confidence, it means that there are certain problems with the data, such as incomplete data, outliers or insufficient data. In this case, loading management personnel need to be more cautious about the suitability assessment results, further verify the data, collect more information, and conduct additional testing or evaluation. For example, recheck the structural integrity of the cargo hold, confirm the compatibility between the cargo and the cargo hold materials, etc. The suitability assessment results directly indicate the adaptability of the cargo hold to specific goods. If the suitability assessment results show that the cargo hold is suitable for loading a certain type of goods, combined with a high-confidence predicted trustworthy mark, the loading operation can proceed as planned. However, if the suitability assessment results show that the cargo hold is not suitable for loading, even if the predicted trustworthy mark is highly reliable, the loading operation cannot be carried out, and other solutions need to be found or the cargo hold needs to be adjusted. By comprehensively considering the predicted trustworthy mark and the suitability assessment results, loading management personnel can manage loading more scientifically and reasonably, ensuring the safety and efficiency of the loading process and the reliability of cargo transportation.

[0079] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0080] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0081] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A chemical tanker cargo tank suitability assessment method based on corrosion margin analysis is characterized by: The method comprises: Obtaining material information and structural information of a liquid cargo tank of a chemical tanker, and configuring a test material sample according to the material information and structural information; Reading the cargo to be loaded on the ship, establishing a corrosion sample based on the cargo to be loaded, and establishing a test environment based on the storage conditions of the ship; Placing the test material sample and the corrosion sample into the test environment, performing a corrosion test when the test material sample and the corrosion sample meet a steady-state threshold, and monitoring the test material sample in real time to establish a real-time data set; Based on the real-time data set, the parameters of the comprehensive fitting model are optimized, and the comprehensive fitting model is as follows: ;in, For the comprehensive fitting results, Characterization over time The change of the corrosion rate based on the change of temperature and medium concentration, characterizing the power of time, is used to capture the complex time dependence of the corrosion rate, set from 1 to , is the order of the polynomial, are the coefficients of the polynomial, different Corresponding to different time powers , The power representing the concentration of the medium, set from 1 to , is the order of the concentration polynomial, is the medium concentration of the corrosion sample, is the correlation coefficient of medium concentration, which is used to describe the relationship between corrosion rate and medium concentration. relationship, different Corresponding to different concentration powers , is the temperature correlation coefficient, which characterizes the effect of temperature on the corrosion rate. For time The temperature value below is the logarithmic correction term; The transport time and environmental prediction results are synchronized to the comprehensive fitting model, corrosion fitting is performed, and corrosion fitting results are established; the suitability of the chemical tanker's liquid cargo tank and the goods to be loaded is evaluated based on the corrosion fitting results, and loading management and perimeter design optimization of the chemical tanker's liquid cargo tank are performed based on the suitability evaluation results.

2. The chemical tanker cargo tank suitability assessment method based on corrosion margin analysis according to claim 1 is characterized in that: The step of synchronizing the transport time and the environmental prediction results to the comprehensive fitting model, performing corrosion fitting, and establishing corrosion fitting results also includes: Establish mutation thresholds; Configure the mutation integration according to the comprehensive fitting results as follows: ; in, is the mutation integral, which characterizes the cumulative effect of mutations during the entire corrosion process. is the index of the time series, Characterization A point in time, For in time The second-order derivative at , , is a fixed time step, is the indicator function, when When , the function value is 1, otherwise it is 0. is the mutation threshold; The corrosion fitting result is compensated according to the mutation integral.

3. The chemical tanker liquid cargo tank suitability assessment method based on corrosion margin analysis according to claim 2 is characterized in that: The establishing of the mutation threshold further includes: Performing material property analysis on the test material sample and the corrosion sample, and establishing a first mutation threshold based on the analysis result; Performing an environmental impact analysis on the test material sample to establish a second mutation threshold; An adaptive weight is configured according to the first mutation threshold and the second mutation threshold to establish a mutation threshold.

4. The chemical tanker cargo tank suitability assessment method based on corrosion margin analysis according to claim 2 is characterized in that: The method further comprises: Calling a mutation node and obtaining a timing distribution of the mutation node; Perform mutation density evaluation according to the temporal distribution and establish mutation density compensation; After the mutation integral is updated by using the mutation density compensation, the corrosion fitting result compensation is performed by using the updated mutation integral.

5. The chemical tanker cargo tank suitability assessment method based on corrosion margin analysis according to claim 1, characterized in that: Get shipping time and environmental forecasts, including: Obtaining the calibrated transportation time, and performing abnormal impact expansion on the calibrated transportation time, and constructing the transportation duration based on the abnormal impact expansion result; Transport fitting is performed on the liquid cargo tank of a chemical tanker, environmental extreme values ​​are established, and environmental prediction results are constructed based on the environmental extreme values.

6. The chemical tanker cargo tank suitability assessment method based on corrosion margin analysis according to claim 1, characterized in that: The method of performing suitability assessment of the chemical tanker's liquid cargo tank and the cargo to be loaded according to the corrosion fitting result, and performing loading management and perimeter design optimization of the chemical tanker's liquid cargo tank according to the suitability assessment result, further includes: Establish calibration assessment thickness; Obtaining a remaining fitting thickness based on the corrosion fitting result; Perform a close comparison between the remaining fitting thickness and the calibrated evaluation thickness to establish a close comparison result; The suitability assessment database is called through the approximate comparison result to establish the suitability assessment result.

7. The chemical tanker cargo tank suitability assessment method based on corrosion margin analysis according to claim 1, characterized in that: The method further comprises: Performing sample richness evaluation based on the real-time data set, and establishing a sample richness evaluation result; Generate a prediction credible mark based on the sample richness evaluation result; The predicted reliable identification and suitability assessment results are used to carry out loading management and perimeter design optimization of the liquid cargo tank of a chemical tanker.

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