Method, device, storage medium and program product for evaluating the safety performance of a cracked jacket structure

Abstract

This application discloses a method, device, storage medium, and program product for safety performance assessment of cracked jacket structures, belonging to the field of offshore wind power structural health monitoring and safety assessment technology. By real-time acquisition of strain field data and environmental loads, and combining this with a digital twin model of the cracked jacket structure, a first real-time stress intensity factor is obtained. By comparing the first real-time stress intensity factor with the current effective stress intensity, the model parameters of the digital twin model of the cracked jacket structure are updated, overcoming the limitation of traditional static models that cannot dynamically reflect crack propagation and structural performance degradation. Therefore, continuous, real-time perception and accurate assessment of the safety status of cracked jacket structures are achieved, providing a basis for timely detection of risks associated with cracked jacket structures.

Description

Technical Field

[0001] This application belongs to the field of offshore wind power structural health monitoring and safety assessment technology, specifically involving a method, equipment, storage medium and program product for safety performance assessment of a structure containing a cracked jacket. Background Technology

[0002] The fixed jacket structure is the core support system of offshore wind power platforms (especially near-shore and shallow-water wind farms), undertaking the crucial function of transferring the weight of the wind turbine units (tower, nacelle, blades), aerodynamic loads, and environmental loads (wind, waves, currents, ice) to the seabed pile foundation. However, during long-term service, the fixed jacket structure is continuously subjected to complex marine environmental loads, and the resulting fatigue cracking problems affect the overall safety of offshore wind power platforms.

[0003] Existing safety performance assessment methods for cracked jacket structures primarily rely on a combination of static modeling and offline analysis. This involves constructing a refined finite element model containing cracks to simulate the structural state, and then verifying stress, strain, and strength based on historical or preset load data collected offline. Finally, professional assessment parameters (such as stress intensity factor and safety factor) are output for manual interpretation. While this approach can quantitatively verify the static crack state of fixed jacket structures, it fails to reflect the dynamic crack propagation process and lacks real-time continuous monitoring capabilities. Consequently, it cannot meet the high requirements of offshore wind power platforms for dynamic safety monitoring, real-time risk warning, and intelligent operation and maintenance decision-making. Therefore, the safety performance assessment results for cracked jacket structures are significantly insufficient in terms of accuracy, reliability, and practicality. Summary of the Invention

[0004] The purpose of this application is to provide a method, device, storage medium, and program product for assessing the safety performance of a ductwork structure containing cracks, which can ensure the accuracy and reliability of the safety performance assessment of the ductwork structure containing cracks.

[0005] To solve the above-mentioned technical problems, this application is implemented as follows: In a first aspect, embodiments of this application provide a method for assessing the safety performance of a cracked guide frame structure, including: The effective stress intensity factor is determined by collecting strain field data in real time using strain sensors. Real-time environmental loads are collected by environmental sensors, and the real-time environmental loads and crack parameters are input into the digital twin model of the jacket structure containing cracks to obtain the first real-time stress intensity factor. Based on the comparison between the current effective stress intensity factor and the first real-time stress intensity factor, the model parameters of the digital twin model of the cracked guide frame structure are updated. Based on the real-time environmental load, the crack parameters, and the preset material fracture toughness, the first real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure.

[0006] Furthermore, based on the real-time environmental load, the crack parameters, and the preset material fracture toughness, the first real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure, including: The real-time environmental load and the crack parameters are input into the updated digital twin model of the cracked jacket structure to obtain the second real-time stress intensity factor. The first real-time safety factor of the cracked guide frame structure is calculated according to the following formula:

[0007] in, The first real-time safety factor refers to the aforementioned cracked guide frame structure. Refers to the second real-time stress intensity factor. The preset material fracture toughness refers to the material's fracture toughness.

[0008] Furthermore, it also includes: Based on the first real-time safety factor of the cracked guide frame structure, an early warning report is generated, which includes at least the current risk level and recommended maintenance measures; Early warnings are issued through a visual interface, and warning reports are pushed to the system. Wherein, when the first real-time safety factor of the cracked jacket structure is greater than the first threshold, the current risk level is normal, and the recommended operation and maintenance measure is to continuously collect the real-time environmental load; When the first real-time safety factor of the cracked guide frame structure is greater than the second threshold and less than or equal to the first threshold, the current risk level is "Caution", and the recommended maintenance measures are to remind the user to pay more attention and increase the acquisition frequency of the FBG strain sensor and the complete set of environmental sensors. When the first real-time safety factor of the cracked guide frame structure is greater than the third threshold and less than or equal to the second threshold, the current risk level is a warning, and the recommended maintenance measure is to issue an early warning and recommend planned inspections. When the first real-time safety factor of the cracked guide frame structure is less than or equal to the third threshold, the current risk level is dangerous, and the recommended maintenance measure is to issue an emergency alarm and recommend immediate shutdown for maintenance.

[0009] Furthermore, the intelligent analysis platform also performs the following steps: The measured parameters of the crack were obtained by using an ultrasonic scanning device carried by an underwater robot and / or an acoustic emission detection device. The crack parameters are calibrated based on the measured crack parameters. The real-time environmental load and the calibrated crack parameters are input into the digital twin model of the cracked jacket structure to obtain the third real-time stress intensity factor; Based on the real-time environmental load, the calibrated crack parameters, and the preset material fracture toughness, the second real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure.

[0010] Furthermore, it also includes the following steps: Based on the real-time environmental load, generate an environmental load data spectrum for the target historical time period; Based on the environmental load data spectrum within the target historical time period, the expected crack propagation amount in the cracked area of ​​the jacket structure within the target prediction time period is determined using the updated digital twin model of the jacket structure containing cracks.

[0011] Furthermore, it also includes the following steps: Based on the long-term environmental load data collected by the complete set of environmental sensors within the target time period, long-term load statistics are generated. Based on the long-term load statistics, the evolution trend of crack propagation in the cracked area of ​​the jacket structure is continuously deduced and calculated using the updated digital twin model of the jacket structure with cracks, until the crack propagation reaches a preset critical size, and the deduction result of crack propagation in the cracked area of ​​the jacket structure is obtained. Based on the projection results of the crack propagation in the cracked area of ​​the jacket, the remaining fatigue life of the cracked area of ​​the jacket is determined.

[0012] Secondly, embodiments of this application provide a safety performance evaluation system for a cracked guide frame structure, including: The determination unit is used to acquire strain field data in real time through strain sensors and determine the current effective stress intensity factor; The input unit is used to collect real-time environmental loads through environmental sensors, input the real-time environmental loads and crack parameters into the digital twin model of the jacket structure containing cracks, and obtain the first real-time stress intensity factor. The update unit is used to update the model parameters of the digital twin model of the cracked guide frame structure based on the comparison result between the current effective stress intensity factor and the first real-time stress intensity factor. The first real-time safety factor unit is used to obtain the first real-time safety factor of the cracked jacket structure based on the real-time environmental load, the crack parameters, and the preset material fracture toughness, through the updated digital twin model of the cracked jacket structure.

[0013] Thirdly, embodiments of this application provide an electronic device, which includes a processor; Memory for storing processor-executable instructions; The processor is configured to execute the instructions to implement the safety performance evaluation method for the cracked guide frame structure as described in the first aspect.

[0014] Fourthly, embodiments of this application provide a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of a terminal, enables the terminal to perform the safety performance evaluation method for a cracked guide frame structure as described in the first aspect.

[0015] Fifthly, embodiments of this application provide a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the safety performance evaluation method for a cracked guide frame structure as described in the first aspect.

[0016] In this embodiment, by real-time acquisition of strain field data and environmental loads, and combining this with a digital twin model of the cracked jacket structure, a first real-time stress intensity factor is obtained. By comparing this first real-time stress intensity factor with the current effective stress intensity, the model parameters of the digital twin model of the cracked jacket structure are updated, overcoming the limitation of traditional static models that cannot dynamically reflect crack propagation and structural performance degradation. This enables continuous, real-time perception and accurate assessment of the safety status of the cracked jacket structure, providing a basis for timely detection of risks. By outputting a first real-time safety coefficient, quantitative and dynamic support is provided for subsequent risk warnings and operation and maintenance decisions. Ultimately, this achieves intelligent safety assessment of the cracked jacket structure, enabling perceptible status, knowable risks, and decision-making, providing core technical support for the full lifecycle operation and maintenance of offshore wind power platforms. Attached Figure Description

[0017] Figure 1 A flowchart of a safety performance evaluation method for a cracked guide frame structure provided in an embodiment of this application is shown; Figure 2 This invention provides a schematic diagram of a safety performance evaluation system for a cracked guide frame structure according to an embodiment of the present application. Figure 3 A schematic diagram of an electronic device structure provided in an embodiment of this application is shown. Detailed Implementation

[0018] 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 some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0020] The following description, in conjunction with the accompanying drawings, details the safety performance evaluation method, equipment, storage medium, and program product for the cracked guide frame structure provided in this application, through specific embodiments and application scenarios.

[0021] Figure 1 A flowchart illustrating a safety performance assessment method for a cracked guide frame structure according to an embodiment of this application is shown. (Refer to...) Figure 1 One embodiment of this application provides a method for assessing the safety performance of a cracked guide frame structure, comprising: S10. Collect strain field data in real time using strain sensors to determine the current effective stress intensity factor.

[0022] Specifically, strain sensors are installed at critical locations in cracked jacket structures, particularly near the crack, to monitor the deformation of the cracked jacket structure under stress. The current effective stress intensity factor is a mechanical parameter characterizing the stress concentration at the crack tip, obtained through inversion calculations of strain field data, and is used to reflect the driving force for crack propagation under current actual operating conditions.

[0023] As one implementation method, the strain sensor can be a resistance strain gauge, which is attached to the surface of the jacket structure. When the structure deforms, the resistance of the strain gauge changes, which is then converted into an electrical signal output. The collected strain data is converted into the current effective stress intensity factor through a preset inversion algorithm or lookup table method. For example, strain inversion can be performed using a pre-established finite element model of a jacket structure with cracks: the finite element model of the jacket structure with cracks serves as a digital reference sample, and the collected strain field data is used as input. Through iterative matching of parameters such as crack size and stress distribution in the model calculation and the measured strain field data, the stress intensity factor at the crack tip is inverted.

[0024] S20. Real-time environmental load is collected by environmental sensors, and the real-time environmental load and crack parameters are input into the digital twin model of the jacket structure containing cracks to obtain the first real-time stress intensity factor.

[0025] Specifically, environmental sensors refer to various physical quantities of the environment in which the jacket structure with cracks is located, such as wind speed, wind direction, wave height, wave period, and water flow velocity. Real-time environmental loads refer to external load information acting on the jacket structure with cracks, collected and acquired in real time by environmental sensors, such as wave force and wind load. Crack parameters refer to quantitative indicators used to describe the geometric characteristics of cracks, such as crack length, depth, width, location, and the geometry of the crack tip. The digital twin model of the jacket structure with cracks refers to a virtual model that maintains a high degree of consistency with the physical entity of the jacket structure with cracks in terms of geometry, materials, loads, and crack state. It is used to receive real-time data input and perform mechanical simulation calculations to predict the state of the jacket structure with cracks. The first real-time stress intensity factor refers to the prediction result of the digital twin model of the jacket structure with cracks on the crack state under the current operating conditions, and is a mechanical parameter used to characterize the degree of stress concentration at the crack tip.

[0026] As one implementation method, environmental sensors may include anemometers, wave height meters, and flow meters, which are deployed near the jacket structure to acquire environmental parameters such as wind speed, wave height, and water flow velocity in real time. Crack parameters can be obtained based on historical inspection data or periodic manual measurements, such as obtaining the length and depth of cracks through underwater visual inspection. The digital twin model can be a parameterized finite element model that can simulate the stress response of a jacket structure with specific crack geometry under current real-time environmental loads and calculate the first stress intensity factor at the crack tip.

[0027] S30. Based on the comparison results between the current effective stress intensity factor and the first real-time stress intensity factor, update the model parameters of the digital twin model of the cracked jacket structure.

[0028] Specifically, model parameters refer to the adjustable variables used in the digital twin model of a cracked jacket structure to describe aspects such as structural geometry, material properties, boundary conditions, load application methods, and crack characteristics. The accuracy of model parameters directly affects the simulation accuracy of the model.

[0029] As one implementation method, when the comparison results show a significant difference between the current effective stress intensity factor and the first real-time stress intensity factor, the relevant parameters in the digital twin model of the cracked jacket structure can be adjusted. For example, if the first real-time stress intensity factor continues to deviate from the current effective stress intensity factor, the material properties, boundary conditions, or crack geometry parameters in the model can be adjusted to make the model more accurately reflect the state of the cracked jacket structure.

[0030] As another implementation method, when the comparison results show a significant difference between the current effective stress intensity factor and the first real-time stress intensity factor, the model parameters of the digital twin model of the cracked jacket structure can be updated by combining the comparison results of measured strain data and simulated strain data of the twin model, and the comparison results of measured vibration data and simulated vibration data of the twin model. For example, when it is detected that the relative deviation between the current effective stress intensity factor obtained by strain field data inversion and the first real-time stress intensity factor output by the digital twin model exceeds a preset threshold and has a significant difference, the measured strain data collected by strain sensors deployed around the crack tip under the same acquisition time and working conditions as this set of data, and the simulated strain data of the corresponding monitoring points synchronously output by the digital twin model, as well as the measured vibration data collected by vibration sensors of the main pile legs and cross braces of the jacket and the simulated vibration data of the corresponding nodes synchronously output by the digital twin model, are immediately retrieved, and the relative deviation between the two sets of data is calculated respectively; the local mesh parameters of the crack area in the model are located by the deviation of the strain data. Deviations in local mechanical parameters such as material elastic modulus and crack geometry are identified by using vibration data to locate deviations in overall dynamic parameters such as pile-soil boundary conditions, overall structural equivalent stiffness, and damping ratio in the model. The optimization objective is to minimize the combined deviation of the three sets of comparison results. The identified deviation parameters are then jointly iteratively calibrated and updated until the relative deviations between the stress intensity factor, simulated strain data, simulated vibration data, and corresponding measured data output by the updated model are all reduced to within the preset allowable range. This completes the accurate correction of model parameters and effectively avoids the problems of parameter overfitting and mismatch between the overall mechanical properties of the model and the physical entity caused by updating the model only through the stress intensity factor.

[0031] S40. Based on the real-time environmental load, crack parameters, and preset material fracture toughness, the first real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure.

[0032] Specifically, the pre-defined material fracture toughness refers to the inherent property of its ability to resist crack propagation. It is an important reference standard for assessing the structural fracture safety margin and is determined experimentally. The first real-time safety factor refers to a quantitative index characterizing the structure's ability to resist fracture failure, calculated using a digital twin model under the current real-time load and crack state.

[0033] As one implementation, after the real-time environmental load and crack parameters are input into the updated digital twin model of the cracked jacket structure, a more accurate real-time stress intensity factor can be output. In some embodiments, S40, based on the real-time environmental load, crack parameters, and preset material fracture toughness, the first real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure, including: S41. Input the real-time environmental load and crack parameters into the updated digital twin model of the cracked jacket structure to obtain the second real-time stress intensity factor.

[0034] Specifically, real-time environmental loads can include wave forces, wind loads, and ocean current forces. These data are collected in real time by environmental sensors and transmitted to the updated digital twin model of the jacket structure containing the crack. Crack parameters refer to the geometric characteristics of the crack, such as length, depth, location, and shape. These parameters can be initial settings or calibrated or updated values. By inputting the real-time environmental loads and crack parameters into the updated digital twin model, the model performs simulation calculations based on its internally established mechanical model, thereby outputting the stress intensity factor at the crack tip.

[0035] As one implementation method, the digital twin model can be a simulation platform based on finite element analysis (FEM). In this FEM-based simulation platform, the jacket structure is discretized into a finite number of elements, and the crack region is modeled in detail. When real-time environmental loads and crack parameters are input as boundary conditions and geometric parameters, the FEM-based simulation platform solver runs, calculates the stress field distribution near the crack tip, and then extracts a second real-time stress intensity factor using fracture mechanics methods such as displacement extrapolation or stress extrapolation.

[0036] As another implementation method, the digital twin model employs a surrogate model based on machine learning or deep learning. This surrogate model is trained using a large amount of pre-performed finite element simulation data to learn the mapping relationship between environmental loads, crack parameters, and stress intensity factors. When real-time environmental loads and crack parameters are input, the surrogate model can quickly and efficiently predict the second real-time stress intensity factor, significantly improving computational efficiency and meeting real-time requirements.

[0037] S42. Calculate the first real-time safety factor of the cracked jacket structure according to the following formula:

[0038] in, The first real-time safety factor refers to the safety factor of the jacket structure containing cracks. Refers to the second real-time stress intensity factor. This refers to the pre-defined fracture toughness of the material.

[0039] Specifically, the first real-time safety factor is a dimensionless indicator that intuitively reflects the ability of a cracked jacket structure to resist crack propagation and the margin of its current load. A larger first real-time safety factor indicates a safer jacket structure; when the first real-time safety factor is close to 1, it indicates that the jacket structure is in a critical state, and the crack may propagate unstably. The second real-time stress intensity factor is the actual stress level borne by the crack tip, reflecting the degree of danger of the crack under the current load; the preset material fracture toughness is the inherent ability of the material to resist unstably propagating cracks.

[0040] This embodiment of the application ensures that the obtained second real-time stress intensity factor accurately reflects the stress state at the crack tip of the cracked jacket structure under the current actual working conditions by inputting real-time environmental loads and crack parameters into the updated digital twin model. This avoids evaluation bias caused by untimely model updates or incomplete input data. By quantitatively comparing the preset material fracture toughness with the second real-time stress intensity factor, the first real-time safety factor becomes an intuitive and standardized evaluation indicator. This not only ensures that the evaluation results are more interpretable but also improves the accuracy and reliability of the safety assessment.

[0041] In this embodiment, by real-time acquisition of strain field data and environmental loads, and combining this with a digital twin model of the cracked jacket structure, a first real-time stress intensity factor is obtained. By comparing this first real-time stress intensity factor with the current effective stress intensity, the model parameters of the digital twin model of the cracked jacket structure are updated, overcoming the limitation of traditional static models that cannot dynamically reflect crack propagation and structural performance degradation. This enables continuous, real-time perception and accurate assessment of the safety status of the cracked jacket structure, providing a basis for timely detection of risks. By outputting a first real-time safety coefficient, quantitative and dynamic support is provided for subsequent risk warnings and operation and maintenance decisions. Ultimately, this achieves intelligent safety assessment of the cracked jacket structure, enabling perceptible status, knowable risks, and decision-making, providing core technical support for the full lifecycle operation and maintenance of offshore wind power platforms.

[0042] In some embodiments, it also includes: Based on the first real-time safety factor of the cracked jacket structure, an early warning report is generated. The early warning report includes at least the current risk level and recommended maintenance measures. Early warnings are issued through a visual interface, and warning reports are pushed out. Among them, when the first real-time safety factor of the cracked jacket structure is greater than the first threshold, the current risk level is normal, and the recommended operation and maintenance measure is to continuously collect real-time environmental loads. When the first real-time safety factor of the cracked jacket structure is greater than the second threshold and less than or equal to the first threshold, the current risk level is "Caution". The recommended maintenance measures are to pay close attention and increase the acquisition frequency of the FBG strain sensor and the complete set of environmental sensors. When the first real-time safety factor of the cracked jacket structure is greater than the third threshold and less than or equal to the second threshold, the current risk level is warning. The recommended maintenance measures are to issue an early warning and to recommend planned inspections. When the first real-time safety factor of the cracked jacket structure is less than or equal to the third threshold, the current risk level is dangerous. The recommended maintenance measure is to issue an emergency alarm and immediately shut down for maintenance.

[0043] Specifically, the current risk level refers to a qualitative assessment of the safety status of a cracked jacket structure, such as "normal," "caution," "warning," or "danger," used to visually demonstrate the degree of risk faced by the cracked jacket structure. Recommended maintenance measures refer to specific operational guidelines provided for different risk levels, designed to help maintenance personnel take timely and effective actions to prevent risk escalation or mitigate potential damage.

[0044] Visualized warnings allow users to quickly understand the safety status and warning information of cracked jacket structures through intuitive visual presentation. Push warning reports mean the system proactively sends generated warning reports to pre-defined recipients or receiving terminals, ensuring timely delivery and avoiding information delays. For example, the visual interface can take the form of a web-based dashboard, updating safety factors, risk levels, and warning report summaries in real time. When a new warning report is generated, the system pushes the report link or full report file to the operations team leader and relevant engineers via email, SMS, or instant messaging applications. Alternatively, warning information can be displayed and pushed through the notification function of a mobile application. When the system detects that the warning conditions are met, it sends a push notification to mobile devices with the application installed; users can click the notification to view the detailed visual warning interface and the full warning report within the application.

[0045] The first threshold is a preset upper limit for the safety factor. When the real-time safety factor is higher than the first threshold, it indicates that the cracked jacket structure has sufficient safety margin and the risk is extremely low. At this time, the current risk level is judged as "normal," and it is recommended to take the operation and maintenance measure of "continuously collecting real-time environmental loads," that is, maintaining the regular monitoring frequency and data collection process without additional intervention. For example, the first threshold can be set according to structural design specifications, material properties, and engineering experience, such as 2.0. By continuously comparing the first real-time safety factor with the first threshold, if the real-time safety factor is higher than 2.0, the risk level is automatically marked as "normal," and the existing monitoring plan is recommended to be maintained in the early warning report.

[0046] The second threshold is a safety factor lower than the first threshold. When the first real-time safety factor falls between the second and first thresholds, it indicates a decrease in structural safety margin and potential risks that require attention. In this case, the current risk level is set to "Caution," and maintenance measures such as "enhancing attention and increasing the data acquisition frequency of strain sensors and the entire set of environmental sensors" are recommended. This ensures more detailed information is obtained through denser data collection, allowing for a more accurate assessment of risk trends. For example, the second threshold can be set to 1.5. When the real-time safety factor is between 1.5 and 2.0, the risk level is automatically set to "Caution," and an early warning report prompts maintenance personnel to pay closer attention to the structural condition. Instructions are automatically sent to the strain sensors and the entire set of environmental sensors to increase their data acquisition frequency from the normal frequency (e.g., 1Hz) to a higher frequency (e.g., 5Hz or 10Hz).

[0047] The third threshold is a safety factor lower than the second threshold. When the real-time safety factor falls between the third and second thresholds, it indicates a significant reduction in structural safety margin and a high risk, requiring immediate action. At this point, the current risk level is classified as "Warning," and the system recommends issuing an early warning and suggesting planned on-site inspections. This means that in addition to issuing an alarm, planned on-site inspections should be arranged to manually verify the structural condition and crack development. For example, the third threshold can be set to 1.2. When the real-time safety factor is between 1.2 and 1.5, the system automatically sets the risk level to "Warning" and issues a formal warning notification to the operations team via an early warning report, recommending that an underwater robot or professional personnel conduct on-site inspections within a specified time (e.g., within 72 hours) to obtain more detailed measured crack parameters.

[0048] When the real-time safety factor is lower than or equal to the third threshold, it indicates that the structural safety margin has reached a critical level, posing a serious safety hazard and the possibility of fracture failure at any time. At this point, the current risk level is classified as "dangerous," and the system recommends issuing an emergency alert and immediately shutting down the equipment for maintenance. This means activating the highest level of emergency response, requiring the immediate cessation of equipment operation and emergency repairs to prevent catastrophic accidents. For example, when the real-time safety factor is less than or equal to 1.2, the system automatically sets the risk level to "dangerous" and issues an emergency alert to all relevant parties (including the maintenance team and safety department) via a warning report, explicitly recommending the immediate cessation of all work on the jacket structure and arranging emergency repairs, such as crack repair or component replacement.

[0049] In this embodiment, by converting the first real-time safety factor into an intuitive and easy-to-understand risk level and specific and feasible operation and maintenance measures, the problem of professional indicators being difficult to directly translate into operation and maintenance decisions is effectively solved. Through the aforementioned graded early warning mechanism, a seamless connection is achieved from real-time safety assessment to intelligent operation and maintenance decision-making. This allows operation and maintenance personnel to quickly determine the structural safety status and take corresponding actions based on intuitive risk levels and clear operation and maintenance recommendations, without needing to deeply understand complex mechanical calculation processes. This significantly improves the intelligence level and response efficiency of safety management, ensuring timely and effective intervention under different risk levels, thereby maximizing the safe operation of cracked jacket structures and reducing potential losses due to structural failure.

[0050] In some embodiments, the intelligent analytics platform also performs the following steps: The measured parameters of the crack are obtained by using an ultrasonic scanning device carried by an underwater robot and / or an acoustic emission detection device.

[0051] Specifically, ultrasonic scanning devices and / or acoustic emission detection devices carried by underwater robots are used to obtain measured parameters of the crack. The aim is to acquire parameters such as the actual physical size, shape, location, and activity of the crack through direct, non-contact, or contact detection methods. This provides high-precision physical reference data for the digital twin model.

[0052] For example, an underwater robot equipped with a phased array ultrasonic detection system can emit and receive ultrasonic waves to perform high-resolution scanning of the cracked area, generating two-dimensional or three-dimensional images of the crack, thereby accurately measuring the crack's length, depth, shape, and other geometric parameters. Alternatively, the underwater robot can carry acoustic emission sensors to monitor transient elastic wave signals generated at the crack tip in real time during structural stress or crack propagation. By analyzing the amplitude, frequency, and arrival time of these signals, the crack's activity, propagation rate, and even the location of the crack origin can be determined.

[0053] The crack parameters are calibrated based on the measured crack parameters.

[0054] Specifically, by calibrating the crack parameters based on the measured crack parameters, the original crack parameters in the digital twin model can be aligned and corrected with the actual physical measurement results, ensuring the consistency between the digital twin model and the physical entity.

[0055] For example, measured crack length, depth, angle, and other parameters can be directly updated into the digital twin model, replacing the original crack parameters. Alternatively, historical data, model predictions, and measured parameters can be combined using data fusion algorithms such as Kalman filtering, particle filtering, or Bayesian updating to optimize and estimate crack parameters, thereby obtaining more robust and accurate crack parameters.

[0056] By inputting the real-time environmental load and the calibrated crack parameters into the digital twin model of the jacket structure containing the crack, the third real-time stress intensity factor is obtained.

[0057] Specifically, real-time environmental loads and calibrated crack parameters are input into the digital twin model of the jacket structure containing the crack to obtain a third real-time stress intensity factor. This aims to recalculate the stress intensity factor at the crack tip using updated crack geometry information combined with the current external environmental loads. This ensures that the calculated stress intensity factor reflects both the actual external load and the accurate crack state.

[0058] For example, a digital twin model can reconstruct the local mesh based on calibrated crack parameters and calculate the stress intensity factor by combining it with real-time environmental loads. Alternatively, a pre-trained surrogate model (such as a model built based on machine learning or response surface methodology) can be used to quickly predict the stress intensity factor at the crack tip by taking the calibrated crack parameters and real-time environmental loads as input.

[0059] Based on real-time environmental load, calibrated crack parameters, and preset material fracture toughness, the second real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure.

[0060] Specifically, the second real-time safety factor is used to reassess the current safety margin of the structure after the crack parameters have been calibrated with high precision. For example, the second real-time safety factor for a jacket structure with cracks is obtained according to the following formula:

[0061] in, The second real-time safety factor refers to the safety factor of the jacket structure containing cracks. Refers to the third real-time stress intensity factor. This refers to the pre-defined fracture toughness of the material.

[0062] In this embodiment of the application, by introducing high-precision measured crack parameters to periodically or on-demand calibrate the crack parameters of the digital twin model, the problem of crack parameter drift and error accumulation caused by changes in environmental load is effectively solved, ensuring that the model's description of the crack state is highly consistent with the physical entity, and significantly improving the prediction accuracy of stress intensity factor and real-time safety factor.

[0063] In some embodiments, the following steps are also included: Based on real-time environmental loads, generate environmental load data spectra for the target historical time period.

[0064] Specifically, when it is necessary to generate environmental load data spectrum for a target historical period, environmental load data for a specified time period (e.g., the past 24 hours, the past 7 days, or the past 30 days) is extracted from the database and then processed, statistically analyzed, or interpolated to generate a continuous or discrete load time series.

[0065] For example, a data spectrum reflecting the environmental load characteristics within a target historical time period can be generated based on parameters such as wind speed, wave height, and wave period. Alternatively, real-time environmental load data can be combined with meteorological forecast data or historical statistical models, and a virtual data spectrum representing the environmental load characteristics within a target historical time period can be constructed through data fusion or machine learning algorithms. For instance, based on current real-time wind speed and direction, combined with historical wind field data, the trend of wind load changes over a past period can be deduced.

[0066] Based on the environmental load data spectrum within the target historical time period, the expected crack propagation amount in the cracked area of ​​the jacket structure within the target prediction time period is determined by using the updated digital twin model of the jacket structure containing cracks.

[0067] Specifically, the generated environmental load data spectrum for the target historical time period can be used as input and loaded into the updated digital twin model of the jacket structure containing cracks. By simulating the structural response under these historical loads, the stress intensity factor range at the crack tip can be calculated, and the expected crack propagation within the target prediction time period (e.g., the next 24 hours or 72 hours) can be accumulated. In the prediction phase, the environmental load data spectrum for the target historical time period is used as input, and the expected crack propagation within the target prediction time period is directly output by the trained prediction model.

[0068] This application embodiment generates an environmental load data spectrum based on real-time collected environmental load data and historical data, and inputs it into a digital twin model that is updated in real time. This allows for accurate prediction of the expected expansion of jacket cracks within the target prediction time, enabling maintenance personnel to grasp the evolution trend of cracks in advance. This provides sufficient time for maintenance planning and risk response, significantly improving the foresight and preventiveness of safety assessments, avoiding the risk of structural failure due to sudden crack expansion, and ensuring the safe operation of jacket structures containing cracks.

[0069] In some embodiments, the following steps are also included: Long-term load statistics are generated based on the long-term environmental load data collected by a complete set of environmental sensors within the target time period.

[0070] Specifically, the target time period refers to a specific time range used to collect environmental load data. This period is typically long enough to capture the seasonal and interannual variations of environmental loads, as well as the statistical characteristics of extreme events, such as several months to several years. Long-term environmental load data refers to a data sequence reflecting the external environmental forces acting on the jacket structure, continuously collected by a full suite of environmental sensors within the target time period, including but not limited to wind loads, wave loads, and ocean current loads. Long-term load statistics refer to quantitative information describing the characteristics of environmental loads obtained after statistical analysis of long-term environmental load data, such as the probability distribution of loads, load spectra, and return period analysis results of extreme loads. Long-term load statistics can be generated by statistically processing the original time series data, such as calculating the mean, variance, peak value, and trough value to extract fatigue load cycles, or by obtaining the power spectral density function of the load through frequency domain analysis.

[0071] Based on long-term load statistics, the evolution trend of crack propagation in the cracked area of ​​the jacket structure is continuously deduced and calculated using the updated digital twin model of the jacket structure with cracks, until the crack propagation reaches the preset critical size, thus obtaining the deduced result of crack propagation in the cracked area of ​​the jacket.

[0072] Specifically, continuous simulation and calculation refers to simulating the crack size growth process under long-term alternating loads in a digital twin model using fatigue crack propagation theory (such as the Paris formula or its modified form) combined with the aforementioned long-term load statistics. This process is iterative, with each calculation predicting the crack propagation amount for the next stage based on the current crack size and load conditions. The evolution trend of crack propagation refers to the regular curve of crack size (such as length and depth) changing with time or the number of load cycles, reflecting the entire process from the current state of the crack until it reaches the critical size. The preset critical size refers to the upper limit of crack size determined according to material fracture toughness, structural bearing capacity requirements, or relevant design specifications, at which the structure is considered to have a possibility of fracture or failure once the crack size reaches this value. The simulation results refer to the dataset describing the entire crack propagation process obtained through continuous simulation calculations, usually represented as a crack size-time (or load cycle number) curve, and the time or number of cycles required to reach the critical size.

[0073] Based on the projection results of crack propagation in the cracked area of ​​the jacket, the remaining fatigue life of the cracked area of ​​the jacket is determined.

[0074] Specifically, remaining fatigue life refers to the remaining service time or number of load cycles that a jacket structure can withstand from the current moment until the crack extends to a preset critical size, under the current crack state and expected load conditions. Determining the remaining fatigue life means directly reading or calculating the time or number of load cycles required to reach the critical size from the predicted crack extension results. For example, if the prediction results show that the crack will reach the critical size within the next 3 years, then the remaining fatigue life is 3 years.

[0075] This application embodiment utilizes long-term environmental load data collected by a complete set of environmental sensors to generate representative long-term load statistics, providing a solid data foundation for subsequent fatigue life prediction. Based on this, using an updated digital twin model of the cracked jacket structure, combined with the aforementioned long-term load statistics, the entire crack propagation process from its current state to reaching a preset critical size can be continuously and accurately extrapolated, thus obtaining the evolution trend of crack propagation. Finally, based on the extrapolation results, the remaining fatigue life of the cracked area of ​​the jacket is accurately determined. This allows maintenance decisions to move beyond short-term safety risk warnings and instead provide a comprehensive understanding of the structure's overall lifespan, offering a scientific basis for developing long-term maintenance strategies, resource allocation, and structural decommissioning plans.

[0076] Figure 2 A schematic diagram of a safety performance evaluation system for a cracked guide frame structure according to an embodiment of this application is shown. (Refer to...) Figure 2One embodiment of this application provides a safety performance evaluation system for a cracked guide frame structure, comprising: Unit 10 is used to acquire strain field data in real time through strain sensors and determine the current effective stress intensity factor. Input unit 20 is used to collect real-time environmental loads through environmental sensors, input the real-time environmental loads and crack parameters into the digital twin model of the jacket structure containing cracks, and obtain the first real-time stress intensity factor. The update unit 30 is used to update the model parameters of the digital twin model of the cracked jacket structure based on the comparison result between the current effective stress intensity factor and the first real-time stress intensity factor. The first real-time safety factor unit 40 is used to obtain the first real-time safety factor of the cracked jacket structure based on the real-time environmental load, crack parameters and preset material fracture toughness through the updated digital twin model of the cracked jacket structure.

[0077] In some embodiments, the first real-time security factor unit 40 includes: The input module is used to input real-time environmental loads and crack parameters into the updated digital twin model of the cracked jacket structure to obtain the second real-time stress intensity factor. The calculation module is used to calculate the first real-time safety factor of the cracked jacket structure according to the following formula:

[0078] in, The first real-time safety factor refers to the safety factor of the jacket structure containing cracks. Refers to the second real-time stress intensity factor. This refers to the pre-defined fracture toughness of the material.

[0079] In some embodiments, it also includes: The early warning report generation unit is used to generate an early warning report based on the first real-time safety factor of the cracked jacket structure. The early warning report includes at least the current risk level and recommended maintenance measures. The push unit is used to issue early warnings through a visual interface and push early warning reports. Among them, when the first real-time safety factor of the cracked jacket structure is greater than the first threshold, the current risk level is normal, and the recommended operation and maintenance measure is to continuously collect real-time environmental loads. When the first real-time safety factor of the cracked jacket structure is greater than the second threshold and less than or equal to the first threshold, the current risk level is "Caution". The recommended maintenance measures are to pay close attention and increase the acquisition frequency of the FBG strain sensor and the complete set of environmental sensors. When the first real-time safety factor of the cracked jacket structure is greater than the third threshold and less than or equal to the second threshold, the current risk level is warning. The recommended maintenance measures are to issue an early warning and to recommend planned inspections. When the first real-time safety factor of the cracked jacket structure is less than or equal to the third threshold, the current risk level is dangerous. The recommended maintenance measure is to issue an emergency alarm and immediately shut down for maintenance.

[0080] In some embodiments, it also includes: The crack measurement parameter acquisition unit is used to obtain crack measurement parameters by using an ultrasonic scanning device carried by an underwater robot and / or an acoustic emission detection device. The calibration unit is used to calibrate the crack parameters based on the measured crack parameters. The third real-time stress intensity factor unit is used to input the real-time environmental load and the calibrated crack parameters into the digital twin model of the jacket structure containing cracks to obtain the third real-time stress intensity factor. The second real-time safety factor unit is used to obtain the second real-time safety factor of the cracked jacket structure based on the real-time environmental load, the calibrated crack parameters, and the preset material fracture toughness through the updated digital twin model of the cracked jacket structure.

[0081] In some embodiments, it also includes: The environmental load data spectrum generation unit is used to generate environmental load data spectrum for a target historical time period based on real-time environmental loads. The crack propagation prediction unit is used to determine the expected crack propagation of the cracked area of ​​the jacket structure within the target prediction time based on the environmental load data spectrum during the target historical time period and through the updated digital twin model of the jacket structure containing cracks.

[0082] In some embodiments, it also includes: The long-term load statistics generation unit is used to generate long-term load statistics based on the long-term environmental load data collected by a complete set of environmental sensors within the target time period. The simulation unit is used to continuously simulate and calculate the evolution trend of crack propagation in the cracked area of ​​the jacket structure based on long-term load statistics and through the updated digital twin model of the jacket structure containing cracks, until the crack propagation reaches the preset critical size, and obtain the simulation result of crack propagation in the cracked area of ​​the jacket structure. The remaining fatigue life determination unit is used to determine the remaining fatigue life of the jacket crack region based on the extrapolation results of the crack propagation in the jacket crack region.

[0083] Figure 3 A schematic diagram of an electronic device structure according to an embodiment of this application is shown. (Refer to...) Figure 3One embodiment of this application provides an electronic device, including: processor; Memory is used to store processor-executable instructions; The processor is configured to execute instructions to implement any safety performance evaluation method for a cracked jacket structure.

[0084] In this embodiment, the computer device includes a processor, memory, and network interface connected via a system bus. The computer device's processor provides computational and control capabilities. Its memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs in the non-volatile storage media. The computer device's database stores data samples. Its network interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a safety performance evaluation method for any cracked jacket structure.

[0085] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0086] This application also provides a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by the processor of a terminal, enables the terminal to execute any safety performance evaluation method for a cracked guide frame structure.

[0087] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory, electrically erasable programmable read-only memory, erasable programmable read-only memory, programmable read-only memory, read-only memory, magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0088] Optionally, a readable storage medium can be coupled to the processor, enabling the processor to read information from and write information to the readable storage medium. Alternatively, the readable storage medium can be an integral part of the processor. The processor and the readable storage medium can reside in application-specific integrated circuits (ASICs). Of course, the processor and the readable storage medium can also exist as discrete components in the device.

[0089] This application also provides a computer program product, which includes a computer program that, when executed by a processor, implements a method for assessing the safety performance of any cracked guide frame structure.

[0090] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0091] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0092] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0093] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0094] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0095] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

[0096] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0097] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0098] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for assessing the safety performance of a cracked guide frame structure, characterized in that, include: The effective stress intensity factor is determined by collecting strain field data in real time using strain sensors. Real-time environmental loads are collected by environmental sensors, and the real-time environmental loads and crack parameters are input into the digital twin model of the jacket structure containing cracks to obtain the first real-time stress intensity factor. Based on the comparison between the current effective stress intensity factor and the first real-time stress intensity factor, the model parameters of the digital twin model of the cracked guide frame structure are updated. Based on the real-time environmental load, the crack parameters, and the preset material fracture toughness, the first real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure.

2. The method as described in claim 1, characterized in that, Based on the real-time environmental load, the crack parameters, and the preset material fracture toughness, the first real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure, including: The real-time environmental load and the crack parameters are input into the updated digital twin model of the cracked jacket structure to obtain the second real-time stress intensity factor. The first real-time safety factor of the cracked guide frame structure is calculated according to the following formula: in, The first real-time safety factor refers to the aforementioned cracked guide frame structure. Refers to the second real-time stress intensity factor. The preset material fracture toughness refers to the material's fracture toughness.

3. The method as described in claim 1, characterized in that, Also includes: Based on the first real-time safety factor of the cracked guide frame structure, an early warning report is generated, which includes at least the current risk level and recommended maintenance measures; Early warnings are issued through a visual interface, and warning reports are pushed to the system. Wherein, when the first real-time safety factor of the cracked jacket structure is greater than the first threshold, the current risk level is normal, and the recommended operation and maintenance measure is to continuously collect the real-time environmental load; When the first real-time safety factor of the cracked guide frame structure is greater than the second threshold and less than or equal to the first threshold, the current risk level is "Caution", and the recommended maintenance measures are to remind the user to pay more attention and increase the acquisition frequency of the FBG strain sensor and the complete set of environmental sensors. When the first real-time safety factor of the cracked guide frame structure is greater than the third threshold and less than or equal to the second threshold, the current risk level is a warning, and the recommended maintenance measure is to issue an early warning and recommend planned inspections. When the first real-time safety factor of the cracked guide frame structure is less than or equal to the third threshold, the current risk level is dangerous, and the recommended maintenance measure is to issue an emergency alarm and recommend immediate shutdown for maintenance.

4. The method as described in claim 1, characterized in that, The intelligent analysis platform also performs the following steps: The measured parameters of the crack were obtained by using an ultrasonic scanning device carried by an underwater robot and / or an acoustic emission detection device. The crack parameters are calibrated based on the measured crack parameters. The real-time environmental load and the calibrated crack parameters are input into the digital twin model of the cracked jacket structure to obtain the third real-time stress intensity factor; Based on the real-time environmental load, the calibrated crack parameters, and the preset material fracture toughness, the second real-time safety factor of the cracked jacket structure is obtained through the updated digital twin model of the cracked jacket structure.

5. The method as described in claim 1, characterized in that, It also includes the following steps: Based on the real-time environmental load, generate an environmental load data spectrum for the target historical time period; Based on the environmental load data spectrum within the target historical time period, the expected crack propagation amount in the cracked area of ​​the jacket structure within the target prediction time period is determined using the updated digital twin model of the jacket structure containing cracks.

6. The method as described in claim 5, characterized in that, It also includes the following steps: Based on the long-term environmental load data collected by the complete set of environmental sensors within the target time period, long-term load statistics are generated. Based on the long-term load statistics, the evolution trend of crack propagation in the cracked area of ​​the jacket structure is continuously deduced and calculated using the updated digital twin model of the jacket structure with cracks, until the crack propagation reaches a preset critical size, and the deduction result of crack propagation in the cracked area of ​​the jacket structure is obtained. Based on the projection results of the crack propagation in the cracked area of ​​the jacket, the remaining fatigue life of the cracked area of ​​the jacket is determined.

7. A safety performance evaluation system for a cracked guide frame structure, characterized in that, include: The determination unit is used to acquire strain field data in real time through strain sensors and determine the current effective stress intensity factor; The input unit is used to collect real-time environmental loads through environmental sensors, input the real-time environmental loads and crack parameters into the digital twin model of the jacket structure containing cracks, and obtain the first real-time stress intensity factor. The update unit is used to update the model parameters of the digital twin model of the cracked guide frame structure based on the comparison result between the current effective stress intensity factor and the first real-time stress intensity factor. The first real-time safety factor unit is used to obtain the first real-time safety factor of the cracked jacket structure based on the real-time environmental load, the crack parameters, and the preset material fracture toughness, through the updated digital twin model of the cracked jacket structure.

8. An electronic device, characterized in that, include: processor; Memory for storing processor-executable instructions; The processor is configured to execute the instructions to implement the safety performance evaluation method for a cracked guide frame structure as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the terminal, the terminal is able to perform the safety performance evaluation method for a cracked guide frame structure as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the safety performance evaluation method for a cracked guide frame structure as described in any one of claims 1-6.

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