Safety status early warning methods, equipment and media for ship steel structures

Abstract

This invention discloses a method, device, and medium for early warning of the safety status of ship steel structures, relating to the field of ship technology. The method includes: analyzing collected target basic characteristic information to obtain initial steel structure performance values; acquiring the target ship's historical operational records; introducing a steel structure performance evaluation function and combining it with the target's historical navigation records and historical maintenance records to evaluate and analyze the initial steel structure performance values, obtaining real-time steel structure performance values; and activating a lifespan alarm component to issue an alarm to the target ship's steel structure when the real-time steel structure performance values ​​do not meet the steel structure performance limits. This solves the technical problem in existing technologies where the performance evaluation of ship steel structures is not timely and accurate, leading to difficulties in timely detection and handling of potential safety hazards. It achieves the technical effect of real-time and accurate evaluation of ship steel structure performance, timely detection and handling of potential safety hazards, and extension of ship service life.

Description

Technical Field

[0001] This invention relates to the field of shipbuilding technology, specifically to a method, equipment, and medium for early warning of the safety status of ship steel structures. Background Technology

[0002] With the continuous development of global trade, ships, as vital water transportation tools, play an irreplaceable role in cargo transport and maritime operations. However, the complex and ever-changing operating environment of ships, along with factors such as long-term sea voyages and the corrosive effects of the marine environment, poses severe challenges to the steel structures of ships. As the main structure of a ship, the performance of its steel structure directly determines the ship's safety, stability, and service life. Traditional methods of maintaining and managing ship steel structures mainly rely on periodic manual inspections and assessments. However, this method has significant limitations. First, manual inspections are often limited by the experience and skill level of the inspectors, making it difficult to accurately assess the true performance condition of the steel structure. Second, the frequency and cycle of periodic inspections are difficult to control precisely, easily missing critical moments when the steel structure's performance deteriorates. Furthermore, due to the unique nature of the ship's operating environment, accidents often have extremely serious consequences; therefore, real-time and accurate monitoring and assessment of the performance of ship steel structures are particularly important. Summary of the Invention

[0003] This application provides a method, equipment, and medium for early warning of the safety status of ship steel structures, which solves the technical problem that the performance assessment of ship steel structures is not timely and accurate enough in the prior art, making it difficult to detect and deal with potential safety hazards of ship steel structures in a timely manner.

[0004] The first aspect of this application provides a method for early warning of the safety status of ship steel structures, the method comprising:

[0005] The target basic feature information collected based on predetermined basic features is analyzed to obtain the initial steel structure performance value. The target basic feature information refers to the basic feature information of the target steel structure of the target vessel. The target historical operation record of the target vessel is obtained, including the target historical navigation record and the target historical maintenance record. A steel structure performance evaluation function is introduced, and the initial steel structure performance value is evaluated and analyzed in conjunction with the target historical navigation record and the target historical maintenance record to obtain the real-time steel structure performance value. When the real-time steel structure performance value does not meet the steel structure performance limit, a lifespan alarm component is activated to provide an alarm for the target steel structure of the target vessel.

[0006] A second aspect of this application provides an electronic device, comprising: a memory for storing executable instructions; and a processor for executing the executable instructions stored in the memory to implement the safety status early warning method for ship steel structures provided in this application.

[0007] A third aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the safety status early warning method for ship steel structures provided in this application.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] First, the target basic feature information collected based on predetermined basic features is analyzed to obtain initial steel structure performance values. The target basic feature information refers to the basic feature information of the target steel structure of the target vessel. Next, the target vessel's historical operation records are acquired, including historical navigation records and historical maintenance records. Then, a steel structure performance evaluation function is introduced, and the initial steel structure performance values ​​are evaluated and analyzed in conjunction with the historical navigation and maintenance records to obtain real-time steel structure performance values. Finally, when the real-time steel structure performance values ​​do not meet the steel structure performance limits, a lifespan alarm component is activated to issue an alarm for the target steel structure of the target vessel. This solves the technical problem in existing technologies where the performance evaluation of ship steel structures is not timely and accurate, leading to difficulties in timely detection and handling of potential safety hazards. It achieves the technical effect of real-time and accurate evaluation of ship steel structure performance, timely detection and handling of potential safety hazards, and extension of ship service life. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the safety status early warning method for ship steel structures provided in the embodiments of this application;

[0012] Figure 2 This is a schematic diagram of the process for obtaining the initial steel structure performance values ​​in the safety status early warning method for ship steel structures provided in the embodiments of this application.

[0013] Figure 3 This is a schematic diagram of the structure of an exemplary electronic device of this application.

[0014] Explanation of reference numerals in the attached drawings: Processor 31, Memory 32, Input device 33, Output device 34. Detailed Implementation

[0015] This application provides a method, device, and medium for early warning of the safety status of ship steel structures, which solves the technical problem in the prior art that the performance evaluation of ship steel structures is not timely and accurate enough, making it difficult to detect and deal with potential safety hazards of ship steel structures in a timely manner.

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0017] It should be noted that the terms "comprising" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to these processes, methods, products, or devices.

[0018] Example 1, as Figure 1 As shown in the embodiments of this application, a safety status early warning method for ship steel structures is provided, wherein the method includes:

[0019] The target basic feature information collected based on predetermined basic features is analyzed to obtain the initial steel structure performance value, wherein the target basic feature information refers to the basic feature information of the target steel structure of the target ship.

[0020] Based on predetermined fundamental characteristics, target fundamental characteristic information is collected. This information refers to a series of data collected for the specific steel structure of the target vessel, directly reflecting the physical properties and structural characteristics of the steel structure. Fundamental characteristic information includes the steel's chemical composition (e.g., carbon content, sulfur content), physical properties (e.g., tensile strength, yield strength), structural dimensions (e.g., plate thickness, beam height, span), and potential defects or damage. The target fundamental characteristic information is analyzed to obtain initial steel structure performance values. These initial performance values ​​reflect the steel structure's performance level under the influence of no external factors (e.g., environmental corrosion, load effects). By analyzing the target fundamental characteristic information collected based on predetermined fundamental characteristics, an initial steel structure performance value can be derived, providing crucial reference for subsequent performance evaluation and alarm handling.

[0021] Furthermore, such as Figure 2 As shown, the method includes:

[0022] The predetermined basic characteristics include design characteristics, material characteristics, and manufacturing characteristics; the design characteristics of the target steel structure are analyzed using expert decision-making principles to obtain the target design rationality; multi-dimensional information is collected on the material of the target steel structure based on the material performance indicators in the material characteristics to obtain the target material quality; the target manufacturing process characteristics of the target steel structure are evaluated based on the manufacturing characteristics to obtain the target manufacturing reliability; the initial steel structure performance value is obtained by weighting the target design rationality, the target material quality, and the target manufacturing reliability.

[0023] Pre-defined fundamental characteristics typically include design features, material features, and manufacturing features, which together determine the initial performance of the steel structure. Design features involve factors such as the shape, dimensions, connection methods, and expected loads of the steel structure. Expert decision-making principles are used to analyze the design of the target steel structure. These principles combine the knowledge and experience of domain experts, using a series of rules and judgment criteria to evaluate the rationality of the design. The analysis yields the target design rationality, which reflects the design's comprehensive performance in terms of structural safety, functional realization, and efficiency optimization. Material features mainly include the chemical composition, physical properties, and mechanical properties of the steel. Based on the material performance indicators within the material features, multi-dimensional information is collected on the target steel structure's materials, including strength, toughness, corrosion resistance, and weldability. A comprehensive evaluation of these indicators yields the target material quality rating, which measures the quality of the material performance and whether it meets design requirements. Manufacturing features involve factors such as the processes, equipment, and quality control used in the manufacturing of the steel structure. The target manufacturing process characteristics of the target steel structure are evaluated based on manufacturing features, including analyzing the rationality of the manufacturing process, the advancement of equipment, and the effectiveness of quality control. This evaluation process yields the target manufacturing reliability, which reflects the degree of influence of the manufacturing process on the steel structure's performance and the overall quality level of the product. After obtaining the target design rationality, target material quality, and target manufacturing reliability, they are combined using a weighted method to calculate the initial steel structure performance values. The weights reflect the importance of each factor to the steel structure's performance. Through reasonable weight allocation and calculation, a quantitative index that comprehensively reflects the initial performance of the steel structure is obtained.

[0024] Obtain the target historical operation record of the target vessel, wherein the target historical operation record includes the target historical navigation record and the target historical maintenance record.

[0025] By interacting with the target vessel, the target vessel's historical operational records are obtained. These records include historical voyage records and historical maintenance records. The historical voyage records detail the vessel's navigation, including but not limited to the route, voyage time, speed, encountered sea conditions (such as wave size, sea temperature, and salinity), ports of call, and potential special events during the voyage (such as collisions or groundings). The historical maintenance records cover all maintenance activities of the vessel's steel structure, including periodic inspections, repairs, and component replacements. These records detail the time, content, methods, and post-maintenance effectiveness assessments. Comprehensive analysis of these historical voyage and maintenance records provides a more complete understanding of the performance and wear and tear of the vessel's steel structure in actual use. This data not only provides crucial input for steel structure life prediction and alarm systems but also offers valuable decision support to ship operators, helping to ensure safe vessel operation and extend its service life.

[0026] A steel structure performance evaluation function is introduced, and the initial steel structure performance value is evaluated and analyzed by combining the target's historical navigation record and the target's historical maintenance record to obtain the real-time steel structure performance value.

[0027] In the performance evaluation of ship steel structures, a steel structure performance evaluation function is introduced. This function comprehensively considers multiple factors, including initial steel structure performance values, target historical navigation records, and target historical maintenance records, to arrive at a more accurate real-time steel structure performance value. Specifically, the evaluation process first requires the organization and analysis of the target historical navigation and maintenance records. These records contain various situations encountered by the ship during actual operation and its maintenance history. By analyzing these records, key information such as navigation time, navigation environment, maintenance frequency, and maintenance effectiveness can be extracted. Next, this extracted information is used as input parameters into the steel structure performance evaluation function. The function calculates and analyzes these parameters, combining them with the initial steel structure performance value to derive a real-time steel structure performance value. This real-time performance value more accurately reflects the performance level of the ship's steel structure in its current state, providing support for subsequent alarm processing and decision-making.

[0028] Furthermore, the methods include:

[0029] The first historical navigation record is extracted from the target historical navigation record. The first historical navigation record includes a first historical navigation area, a first historical navigation environment, and a first historical navigation load. The first historical navigation area is traversed in the marine database to obtain the first seawater feature data corresponding to the first sea area. Environmental features are extracted from the first historical navigation environment based on predetermined environmental features to obtain the first environmental feature data. The first historical navigation load is analyzed to obtain the first historical load data. The first seawater feature data, the first environmental feature data, and the first historical load data together constitute a performance feedback dataset. The steel structure performance evaluation function is combined with the performance feedback dataset to obtain the real-time steel structure performance value.

[0030] One navigation record is selected from the target historical navigation records as the first historical navigation record. This first historical navigation record includes the first historical navigation area, the first historical navigation environment, and the first historical navigation load. Using the first historical navigation area as a query condition, relevant sea area information is traversed in the marine database. Based on the query results, the first seawater characteristic data corresponding to the first sea area is extracted, including seawater temperature, salinity, current velocity, and tidal changes. Based on predetermined environmental characteristics (such as wind speed, wind direction, visibility, and wave height), the first historical navigation environment is analyzed and its features are extracted. The extracted data is then integrated into the first environmental characteristic data. The first historical navigation load data is analyzed, including various loads on the hull, such as cargo weight, ship dynamic loads, and wave loads. This data is then compiled into the first historical load data, ensuring its accuracy and completeness. The first seawater characteristic data, the first environmental characteristic data, and the first historical load data are combined to form a performance feedback dataset. This performance feedback dataset will serve as the input to the steel structure performance evaluation function to assess the real-time performance of the steel structure. The performance feedback dataset is input into a pre-built steel structure performance evaluation function, which will calculate based on the performance feedback dataset and output real-time steel structure performance values.

[0031] Furthermore, the first historical navigation load includes a first historical loaded load, a first historical wave load timing sequence, and a first historical unloaded load, and the method includes:

[0032] The first historical wave load time series is smoothed to obtain the first target wave load time series; the first wave load spectral density of the first target wave load time series is obtained based on Fourier transform; the first target time range corresponding to the first wave load level of the first wave load spectral density is back-matched; the first wave load level is weighted using the first target duration of the first target time range as a coefficient to obtain the first wave load mean; the first historical loading load, the first wave load mean, and the first historical unloading load are weighted and calculated using the coefficient of variation principle to obtain the first historical load data.

[0033] A smoothing algorithm (such as moving average or Gaussian filtering) is applied to the first historical wave load time series to reduce the influence of noise and outliers, resulting in the first target wave load time series. A Fourier transform is performed on the first target wave load time series to convert it from the time domain to the frequency domain, and the spectral density of the transformed data is calculated to obtain the first wave load spectral density. Within the first wave load spectral density, the frequency range or time period corresponding to each wave load level is identified. These frequency ranges or time periods are then back-matched to the first target wave load time series to determine the corresponding first target time range. The first target duration of the first target time range is used as a coefficient to weight the first wave load levels. The weighting method can be defined based on factors such as duration and the importance of the load level. The sum of the weighted first wave load levels is calculated and divided by the total duration to obtain the first wave load mean. Taking into account the first historical loading load, the first wave load mean, and the first historical unloading load, weights are determined based on factors such as the importance of the load type, duration, and impact on steel structure performance. A weighted average is then calculated to obtain a comprehensive first historical load data value for steel structure performance evaluation.

[0034] Furthermore, the methods also include:

[0035] Extract the first historical maintenance record from the target historical maintenance record, wherein the first historical maintenance record includes first pre-maintenance detection data and first post-maintenance detection data; extract the first maintenance indicator from the predetermined maintenance indicators, and sequentially match the first pre-maintenance indicator parameter and the first post-maintenance indicator parameter of the first maintenance indicator in the first pre-maintenance detection data and the first post-maintenance detection data; obtain the first maintenance quality index by comparing the first pre-maintenance indicator parameter and the first post-maintenance indicator parameter; add the first maintenance quality index to the performance feedback dataset.

[0036] One maintenance record is selected from the target historical maintenance records as the first historical maintenance record. This first historical maintenance record includes both pre-maintenance inspection data and post-maintenance inspection data. Pre-maintenance inspection data refers to the data collected before maintenance, and post-maintenance inspection data refers to the data collected after maintenance. Pre-defined maintenance indicators are a set of standards used to evaluate maintenance effectiveness; the first maintenance indicator is selected from these pre-defined indicators. In the pre-maintenance inspection data, the parameter values ​​corresponding to the first maintenance indicator are found; these are the pre-maintenance indicator parameters. Similarly, in the post-maintenance inspection data, the parameter values ​​corresponding to the first maintenance indicator are found; these are the post-maintenance indicator parameters. The pre-maintenance indicator parameters and post-maintenance indicator parameters are compared. Based on the changes in parameters before and after maintenance, and the degree of impact of these changes on the steel structure performance, a first maintenance quality index is calculated. This first maintenance quality index represents the effectiveness and quality of the maintenance. The calculated first maintenance quality index is added to the performance feedback dataset. The performance feedback dataset includes first seawater characteristic data, first environmental characteristic data, first historical load data, and the first maintenance quality index; these will all be used for subsequent steel structure performance evaluation.

[0037] Furthermore, the predetermined maintenance indicators include coating maintenance, corrosion maintenance, crack maintenance, and deformation repair maintenance.

[0038] Pre-defined maintenance indicators include coating maintenance, corrosion maintenance, crack maintenance, and deformation repair maintenance. A coating is a thin film sprayed onto the surface of a substrate to protect it, improve its appearance, and enhance its performance. Coating maintenance includes data security indicators, resource utilization indicators, and preventative maintenance indicators. Data security indicators measure the degree of protection the coating provides to data security, such as the coating's effectiveness in preventing corrosion and oxidation of the substrate. Resource utilization indicators measure the rational utilization of coating materials, such as paint consumption rate and coating thickness control. Preventative maintenance indicators for coating maintenance include coating maintenance intervals (e.g., periodic checks on coating integrity and weather resistance) and maintenance time (e.g., the time and manpower required for coating repair). Corrosion is a phenomenon where the chemical or electrochemical interaction between a material and its environment damages the material's function. Corrosion maintenance includes failure rate indicators and preventative maintenance indicators. Failure rate indicators measure the frequency and severity of corrosion, such as the rate of expansion of the corroded area and changes in corrosion depth. Preventative maintenance indicators for corrosion maintenance include the implementation of corrosion prevention measures (e.g., the quality of the anti-corrosion coating and control of the operating environment) and maintenance time (e.g., the time and manpower required for cleaning and repairing the corroded area). A crack is a defect that disrupts the continuity of a metal, possessing a certain depth, width, and length. Crack maintenance includes fault handling efficiency indicators and preventative maintenance indicators. Fault handling efficiency indicators measure the efficiency of crack detection and repair, such as the time required for crack detection and the speed of crack repair. Preventative maintenance indicators for crack maintenance include the implementation of crack prevention measures (such as material selection and process control) and maintenance man-hours (such as the time and manpower required for crack detection and repair). Deformation repair maintenance includes deformation repair efficiency indicators and preventative maintenance indicators. Deformation repair efficiency indicators measure the speed and effectiveness of deformation repair, such as the degree of deformation recovery after repair and the time required for repair. Preventative maintenance indicators for deformation repair maintenance include the implementation of deformation prevention measures (such as the rationality of structural design and control of the service environment) and maintenance man-hours (such as the time and manpower required for deformation detection, repair, and verification).

[0039] Furthermore, the expression for the steel structure performance evaluation function is as follows:

[0040] ;in, For the target steel structure The real-time steel structure performance values, i.e. The feedback evaluation and analysis results For the target steel structure The initial steel structure performance values, For feedback evaluation coefficients, and ,in, In the first seawater feature data The summation of the seawater characteristic data, For the The first of the seawater characteristic data Seawater characteristic data, In the first environmental feature data The summation of environmental characteristic data, For the The first environmental characteristic data Environmental characteristic data, This refers to the first historical payload data. For the first maintenance quality index The sum of the maintenance quality indices For the The maintenance quality index is the first One maintenance quality index, and and and These are the first feedback coefficient, the second feedback coefficient, the third feedback coefficient, and the fourth feedback coefficient, respectively, and their sum is 1.

[0041] The steel structure performance evaluation function is used to calculate the real-time steel structure performance value of the target steel structure. It is based on the initial steel structure performance value and adjusted for some environmental, load and maintenance quality related factors. For target steel structure The real-time performance values ​​of the steel structure are the result of the function output. For target steel structure The initial steel structure performance values ​​are the baseline values ​​for the function input. The feedback evaluation coefficient is a coefficient that integrates multiple factors and is used to adjust the initial performance values ​​of the steel structure. . In the first seawater characteristic data The summation of the seawater characteristic data, for The first of the seawater characteristic data Seawater characteristic data. In the first environmental feature data The summation of environmental characteristic data, for The first environmental characteristic data Environmental characteristic data. This is the first historical load data, representing the historical load borne by the steel structure. In the first maintenance quality index The sum of the maintenance quality indices for The maintenance quality index is the first Maintenance quality index. and and and These are the first feedback coefficient, the second feedback coefficient, the third feedback coefficient, and the fourth feedback coefficient, which are used to adjust the degree of influence of different factors on performance evaluation, and their sum is 1. The expression can be viewed as a weighted summation model, which takes the initial steel structure performance values... In conjunction with various external factors (seawater characteristics, environmental characteristics, historical loads, and maintenance quality), feedback evaluation coefficients are used. and feedback coefficient and and and Adjustments are made to obtain real-time steel structure performance values. Feedback coefficient and and and Adjustments can be made according to specific circumstances to reflect the different degrees of influence of various factors on the performance of steel structures.

[0042] When the real-time steel structure performance value does not meet the steel structure performance limit, the life alarm component is activated to perform alarm processing on the target steel structure of the target ship.

[0043] When real-time steel structure performance values ​​fail to meet performance limits, it indicates a potential safety hazard or performance degradation in the target vessel's steel structure. In this situation, the lifespan alarm component is activated to promptly notify relevant personnel to take necessary measures to prevent potential safety incidents. Specifically, the real-time steel structure performance values ​​are continuously monitored and compared with preset performance limits. These limits are set based on the steel structure's design specifications, safety standards, and historical data. If the real-time performance value falls below the limit, it is deemed to fail to meet safety requirements, triggering an alarm. Once the alarm is triggered, the lifespan alarm component is activated. The lifespan alarm component can issue alerts via audible and visual alarms, email notifications, SMS notifications, or other means.

[0044] In summary, the embodiments of this application have at least the following technical effects:

[0045] First, the target basic feature information collected based on predetermined basic features is analyzed to obtain initial steel structure performance values. The target basic feature information refers to the basic feature information of the target steel structure of the target vessel. Next, the target vessel's historical operation records are acquired, including historical navigation records and historical maintenance records. Then, a steel structure performance evaluation function is introduced, and the initial steel structure performance values ​​are evaluated and analyzed in conjunction with the historical navigation and maintenance records to obtain real-time steel structure performance values. Finally, when the real-time steel structure performance values ​​do not meet the steel structure performance limits, a lifespan alarm component is activated to issue an alarm for the target steel structure of the target vessel. This solves the technical problem in existing technologies where the performance evaluation of ship steel structures is not timely and accurate, leading to difficulties in timely detection and handling of potential safety hazards. It achieves the technical effect of real-time and accurate evaluation of ship steel structure performance, timely detection and handling of potential safety hazards, and extension of ship service life.

[0046] Example 2, Figure 3 This is a schematic diagram of the structure of an electronic device provided in Embodiment 2 of the present invention, showing a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present invention. Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality or scope of the embodiments of the present invention. Figure 3 As shown, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of processors 31 in the electronic device can be one or more. Figure 3 Taking a processor 31 as an example, the processor 31, memory 32, input device 33, and output device 34 in an electronic device can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0047] The memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the safety status early warning method for ship steel structures in this embodiment of the invention. The processor 31 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the memory 32, thereby realizing the aforementioned safety status early warning method for ship steel structures.

[0048] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0049] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0050] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. A safety state early warning method for a ship steel structure, characterized by, The method comprises: analyzing the target basic feature information collected based on the predetermined basic feature to obtain an initial steel structure performance value, wherein the target basic feature information refers to the basic feature information of the target steel structure of the target ship; obtaining a target historical operation record of the target ship, wherein the target historical operation record comprises a target historical navigation record and a target historical maintenance record; introducing a steel structure performance evaluation function, and evaluating and analyzing the initial steel structure performance value in combination with the target historical navigation record and the target historical maintenance record to obtain a real-time steel structure performance value; when the real-time steel structure performance value does not meet the steel structure performance limit value, activating a life warning component to perform warning processing on the target steel structure of the target ship; The method comprises: extracting a first historical navigation record in the target historical navigation record, the first historical navigation record comprising a first historical navigation area, a first historical navigation environment and a first historical navigation load; traversing the first historical navigation area in a sea area database to obtain first sea water feature data corresponding to a first sea area; extracting environmental feature data of the first historical navigation environment based on a predetermined environmental feature to obtain first environmental feature data; analyzing the first historical navigation load to obtain first historical load data; The first sea water feature data, the first environmental feature data and the first historical load data jointly constitute a performance feedback data set; The steel structure performance evaluation function combines the performance feedback data set to obtain the real-time steel structure performance value; The first historical navigation load comprises a first historical loading load, a first historical wave load time sequence and a first historical unloading load, and the method comprises: smoothing the first historical wave load time sequence to obtain a first target wave load time sequence; obtaining a first wave load spectral density of the first target wave load time sequence based on Fourier transform; reverse matching a first target time range corresponding to a first wave load level of the first wave load spectral density; weighting the first wave load level by taking a first target time length of the first target time range as a coefficient to obtain a first wave load mean value; using the coefficient of variation principle to weight and calculate the first historical loading load, the first wave load mean value and the first historical unloading load to obtain the first historical load data; The method comprises: The predetermined basic feature comprises a design feature, a material feature and a manufacturing feature; analyzing the design feature of the target steel structure by using the expert decision principle to obtain a target design rationality; performing multi-dimensional information collection on the material of the target steel structure according to the material performance index in the material feature to obtain a target material goodness; evaluating the target manufacturing process feature of the target steel structure based on the manufacturing feature to obtain a target manufacturing reliability; weighting the target design rationality, the target material goodness and the target manufacturing reliability to obtain the initial steel structure performance value; The method further comprises: extracting a first historical maintenance record in the target historical maintenance records, wherein the first historical maintenance record comprises first pre-maintenance detection data and first post-maintenance detection data; extracting a first maintenance index in the predetermined maintenance indexes, and sequentially matching the first pre-maintenance index parameter and the first post-maintenance index parameter of the first maintenance index in the first pre-maintenance detection data and the first post-maintenance detection data; obtaining a first maintenance quality index according to the comparison between the first pre-maintenance index parameter and the first post-maintenance index parameter; adding the first maintenance quality index to the performance feedback data set; the predetermined maintenance indexes comprise coating maintenance, corrosion maintenance, crack maintenance and deformation repair maintenance; an expression of the steel structure performance evaluation function is as follows: ； in, For the target steel structure The real-time steel structure performance values, i.e. The feedback evaluation and analysis results For the target steel structure The initial steel structure performance values, For feedback evaluation coefficients, and ,in, In the first seawater feature data The summation of the seawater characteristic data, For the The first of the seawater characteristic data Seawater characteristic data, In the first environmental feature data The summation of environmental characteristic data, For the The first environmental characteristic data Environmental characteristic data, This refers to the first historical payload data. For the first maintenance quality index The sum of the maintenance quality indices For the The maintenance quality index is the first One maintenance quality index, and and and These are the first feedback coefficient, the second feedback coefficient, the third feedback coefficient, and the fourth feedback coefficient, respectively, and their sum is 1.

2. An electronic device, comprising: the electronic device comprises: a memory for storing executable instructions; a processor for executing the executable instructions stored in the memory to implement the safety state early warning method for the ship steel structure according to claim 1.

3. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the safety state early warning method for the ship steel structure according to claim 1.

Images