A method for evaluating the structural status of a ship unloader and a related device

Abstract

The present application discloses an evaluation method and related device for the structural state of a ship unloader, which relates to the field of structural state evaluation of a ship unloader, including: extracting a continuous type of sequential operating parameter group and a discrete type of sequential operating parameter group based on the operating parameters of the target structure in the detection period using a preset behavior model, outputting a predicted operating state parameter group of the target structure in the prediction period based on the continuous type of sequential operating parameter group and the discrete type of sequential operating parameter group, generating a predicted structural state parameter group of the target structure in the prediction period based on the operating parameters and the predicted operating state parameter group using a preset response surface model, displaying the predicted structural state parameter group, and outputting a structural state evaluation result of the target structure based on the display feedback result. The present application generates a predicted structural state parameter group based on a predicted operating state parameter group that characterizes continuous and discrete characteristics, thereby improving the evaluation accuracy of the structural state of each structure of the ship unloader in actual application scenarios.

Description

Technical Field

[0001] The present application relates to the technical field of ship unloader structural status assessment, and in particular to a ship unloader structural status assessment method and related devices. Background Art

[0002] Ship unloaders are equipment deployed in ports for loading and unloading ship cargo. Since ship unloaders are subjected to alternating loads for a long time and the working environment is highly corrosive, the various structures of the ship unloaders have different degrees of aging under long-term high-frequency use, which affects the safe operation of the ship unloader. Therefore, it is very necessary to evaluate the status of each structure of the ship unloader. The existing monitoring of the status of each structure of the ship unloader is mostly carried out by constructing a physical model of each structure and evaluating the status of each structure based on the simulation results of the physical model.

[0003] However, the existing physical model is only based on the simulation of the structural physical parameters collected by sensors, and does not consider the impact of the ship unloader's operating state on the structural state. In actual application scenarios, different operating states will cause the load on the structure to change dynamically, so that the structural state will change dynamically with different operating states. This leads to low accuracy in the evaluation of the structural state of each structure of the ship unloader in actual application scenarios by the existing technology. Therefore, how to improve the evaluation accuracy of the structural state of each structure of the ship unloader in actual application scenarios has become an urgent problem to be solved. Summary of the invention

[0004] In view of the above problems, the present application provides a method and a related device for evaluating the structural status of a ship unloader, so as to achieve the purpose of improving the evaluation accuracy of the structural status of each structure of the ship unloader in actual application scenarios. The specific scheme is as follows:

[0005] A first aspect of the present application provides a method for evaluating the structural status of a ship unloader, comprising:

[0006] Obtaining the operating parameters of the target structure during the detection period;

[0007] Utilizing a preset calculator in a preset behavior model to extract a continuous type of sequential operation parameter group based on the operation parameters; utilizing a preset discrete model in the preset behavior model to extract a discrete type of sequential operation parameter group based on the operation parameters; and utilizing a preset differential equation system in the preset behavior model to output a predicted operation state parameter group of the target structure within a predicted period based on the continuous type of sequential operation parameter group and the discrete type of sequential operation parameter group, wherein the discrete type of sequential operation parameter group includes an operation parameter group of the target structure under multiple operation states within the detection period;

[0008] Generate a predicted structural state parameter group of the target structure within the predicted time period according to the operating parameters and the predicted operating state parameter group using a preset response surface model;

[0009] The predicted structural state parameter group is displayed, and the structural state evaluation result of the target structure is output based on the display feedback result.

[0010] In a possible implementation, the process of constructing the preset response surface model includes:

[0011] An initial finite element model of the target structure is constructed based on the structural parameter group of the target structure, and the historical operating state parameters and the historical measured stress parameter group of the target structure are used to simulate and adjust the parameters of the initial finite element model to obtain a preset finite element model, wherein the input of the preset finite element model is the operating parameter group and the predicted operating state parameter group of the structure within the detection period, and the output is the predicted structural state parameter group of each sampling point of each stress component of the structure within the prediction period;

[0012] The design operation parameter groups of each load-bearing component of the target structure are input into the preset finite element model to obtain the response values ​​of the design operation parameter groups of each load-bearing component; the coefficients of the initial polynomial are solved according to the design operation parameter groups of each load-bearing component and each response value using a preset least squares algorithm, and the preset response surface model is constructed based on the initial polynomial substituted with the coefficients, the input of the preset response surface model is the operation parameters and the predicted operation state parameter group of the structure within the detection period, and the output is the predicted structure state parameter group of the target sampling points of each load-bearing component of the structure within the prediction period, and the target sampling point is one of the sampling points of the receiving component.

[0013] In a possible implementation, the extracting a continuous type of sequential operating parameter group based on the operating parameter by using a preset calculator in a preset behavior model includes:

[0014] Extracting a timing operation signal parameter from the operation parameter group according to the parameter name;

[0015] Calculate basic operation parameters according to the timing operation signal parameters using a preset calculator in the preset behavior model, and calculate auxiliary operation parameters of multiple dimensions according to the timing operation signal parameters and the basic operation parameters, wherein the dimensions of the auxiliary operation parameters have a corresponding relationship with the data types of the timing operation signal parameters;

[0016] A data group including the timing operation signal parameter, the basic operation parameter and the auxiliary operation parameters of each dimension is determined as the continuous type of timing operation parameter group.

[0017] In a possible implementation, the extracting a discrete type of timing operation parameter group based on the operation parameter by using a preset discrete model in the preset behavior model includes:

[0018] Extracting an operation timing signal parameter from the operation parameter group according to the parameter name, and parsing the operation timing signal parameter to obtain a plurality of operation running state parameters;

[0019] A plurality of operation status parameters are determined as a discrete type of sequential operation parameter group.

[0020] In a possible implementation, the using of the preset differential equation system in the preset behavior model to output the predicted operating state parameter group of the target structure within the prediction period based on the continuous type of sequential operating parameter group and the discrete type of sequential operating parameter group includes:

[0021] For each of the operation status parameters in the discrete type sequential operation parameter group:

[0022] Extracting each of the auxiliary operating parameters that are the same as the moment of the operating operating state parameter from the continuous type timing operating parameter group; for each of the auxiliary operating parameters: using the preset external state transfer function in the preset differential equation system to output the operating state parameter of the target structure at the target moment of the prediction period according to the operating operating state parameter and the auxiliary operating parameter; using the preset state event condition function in the preset behavior model to determine whether the operating state parameter at the target moment is consistent with the operating state represented by the operating state parameter, and if so, determining the operating state parameter at the target moment as a predicted operating state parameter of the target structure;

[0023] A data set including a plurality of the predicted operating state parameters is determined as a predicted operating state parameter set.

[0024] In a possible implementation, after extracting a discrete type of timing operation parameter group from the operation parameter group using a preset discrete model in the preset behavior model, the method further includes:

[0025] The discrete type sequential operation parameter group and the continuous type sequential operation parameter group in the operation parameter group are dynamically displayed in a target display area in a preset ship unloader geometric model, and the target display area has a corresponding relationship with the target structure.

[0026] A second aspect of the present application provides a system for evaluating the structural status of a ship unloader, comprising:

[0027] A parameter acquisition module is used to obtain the operating parameters of the target structure during the detection period;

[0028] A parameter prediction module, used to extract a continuous type of sequential operation parameter group based on the operation parameters using a preset calculator in a preset behavior model; to extract a discrete type of sequential operation parameter group based on the operation parameters using a preset discrete model in the preset behavior model; and to output a predicted operation state parameter group of the target structure within a prediction period based on the continuous type of sequential operation parameter group and the discrete type of sequential operation parameter group using a preset differential equation system in the preset behavior model, wherein the discrete type of sequential operation parameter group includes an operation parameter group of the target structure under multiple operation states within the detection period;

[0029] A state prediction module, used for generating a predicted structural state parameter group of the target structure within the prediction period according to the operating parameters and the predicted operating state parameter group by using a preset response surface model;

[0030] The state evaluation module is used to display the predicted structural state parameter group and output the structural state evaluation result of the target structure based on the display feedback result.

[0031] In a possible implementation, the ship unloader structural state evaluation system further includes a response surface model building module, and the response surface model building module is configured to:

[0032] An initial finite element model of the target structure is constructed based on the structural parameter group of the target structure, and the historical operating state parameters and the historical measured stress parameter group of the target structure are used to simulate and adjust the parameters of the initial finite element model to obtain a preset finite element model, wherein the input of the preset finite element model is the operating parameter group and the predicted operating state parameter group of the structure within the detection period, and the output is the predicted structural state parameter group of each sampling point of each stress component of the structure within the prediction period;

[0033] The design operation parameter groups of each load-bearing component of the target structure are input into the preset finite element model to obtain the response values ​​of the design operation parameter groups of each load-bearing component; the coefficients of the initial polynomial are solved according to the design operation parameter groups of each load-bearing component and each response value using a preset least squares algorithm, and the preset response surface model is constructed based on the initial polynomial substituted with the coefficients, the input of the preset response surface model is the operation parameters and the predicted operation state parameter group of the structure within the detection period, and the output is the predicted structure state parameter group of the target sampling points of each load-bearing component of the structure within the prediction period, and the target sampling point is one of the sampling points of the receiving component.

[0034] In a possible implementation, the parameter prediction module is set to:

[0035] Extracting a timing operation signal parameter from the operation parameter group according to the parameter name;

[0036] Calculate basic operation parameters according to the timing operation signal parameters using a preset calculator in the preset behavior model, and calculate auxiliary operation parameters of multiple dimensions according to the timing operation signal parameters and the basic operation parameters, wherein the dimensions of the auxiliary operation parameters have a corresponding relationship with the data types of the timing operation signal parameters;

[0037] A data group including the timing operation signal parameter, the basic operation parameter and the auxiliary operation parameters of each dimension is determined as the continuous type of timing operation parameter group.

[0038] In a possible implementation, when the parameter prediction module uses the preset discrete model in the preset behavior model to extract the discrete type of sequential operating parameter group based on the operating parameter, the parameter prediction module is set to:

[0039] Extracting an operation timing signal parameter from the operation parameter group according to the parameter name, and parsing the operation timing signal parameter to obtain a plurality of operation running state parameters;

[0040] A plurality of operation status parameters are determined as a discrete type of sequential operation parameter group.

[0041] In a possible implementation, the parameter prediction module is set to:

[0042] For each of the operation status parameters in the discrete type sequential operation parameter group:

[0043] Extracting each of the auxiliary operating parameters that are the same as the moment of the operating operating state parameter from the continuous type timing operating parameter group; for each of the auxiliary operating parameters: using the preset external state transfer function in the preset differential equation system to output the operating state parameter of the target structure at the target moment of the prediction period according to the operating operating state parameter and the auxiliary operating parameter; using the preset state event condition function in the preset behavior model to determine whether the operating state parameter at the target moment is consistent with the operating state represented by the operating state parameter, and if so, determining the operating state parameter at the target moment as a predicted operating state parameter of the target structure;

[0044] A data set including a plurality of the predicted operating state parameters is determined as a predicted operating state parameter set.

[0045] In a possible implementation, the ship unloader structural status assessment system further includes:

[0046] An operating parameter display module is used to dynamically display the discrete type timing operating parameter group and the continuous type timing operating parameter group in the operating parameter group in a target display area in a preset ship unloader geometric model after extracting the discrete type timing operating parameter group from the operating parameter group using a preset discrete model in a preset behavior model, and the target display area has a corresponding relationship with the target structure.

[0047] The third aspect of the present application provides a computer program product, comprising computer-readable instructions, which, when executed on an electronic device, enables the electronic device to implement the method for evaluating the structural status of a ship unloader according to the first aspect or any implementation of the first aspect.

[0048] A fourth aspect of the present application provides an electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0049] The memory is used to store computer programs;

[0050] The processor is used to execute the computer program so that the electronic device can implement the method for evaluating the structural state of the ship unloader according to the first aspect or any implementation manner of the first aspect.

[0051] A fifth aspect of the present application provides a computer storage medium, which carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can perform the method for evaluating the structural status of a ship unloader according to the first aspect or any implementation of the first aspect.

[0052] By means of the above technical solution, the evaluation method and related device of the structural state of the ship unloader provided by the present application realizes the extraction of the continuous type of sequential operation parameter group and the discrete type of sequential operation parameter group that characterize the different operation states of the target structure in the detection period by configuring the preset calculator in the preset behavior model to extract the continuous type of sequential operation parameter group based on the operation parameters, and the preset discrete model in the preset behavior model to extract the discrete type of sequential operation parameter group based on the operation parameters. And the preset differential equation system is configured based on the continuous type of sequential operation parameter group and the discrete type of sequential operation parameter group, so that the output predicted operation state parameter group fully considers the continuity and discreteness of the operation state change of the target structure, and improves the characterization accuracy of the operation state of the target structure in the prediction period. Subsequently, by configuring and utilizing the preset response surface model, a predicted structural state parameter group of the target structure within the prediction period is generated according to the operating parameters and the predicted operating state parameter group. The predicted operating state parameter group carries the continuity and discrete characteristics of each motion state of the target structure, so that the obtained predicted structural state parameter group can characterize the structural state changes of the target structure under the influence of different operating states in the actual application scenario, and the operating parameters are used to correct the prediction process, thereby reducing the probability of outputting abnormal values ​​and improving the generation accuracy of the predicted structural state parameter group. Finally, the predicted structural state parameter group is displayed through configuration, and the structural state evaluation result of the target structure is output based on the display feedback result, and the accuracy of the final output structural state evaluation result is further improved by manual verification. It can be seen that the present application improves the evaluation accuracy of the structural state of each structure of the ship unloader in the actual application scenario. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0054] Figure 1 A flow chart of a method for evaluating the structural status of a ship unloader provided in this application;

[0055] Figure 2 A block diagram of a ship unloader structural status evaluation system provided in this application;

[0056] Figure 3 A schematic diagram of the structure of an electronic device provided in this application. DETAILED DESCRIPTION

[0057] The following describes the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. The terms used in the implementation method section of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.

[0058] The embodiments of the present application are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0059] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, which is only to describe the distinction mode adopted by the objects of the same attributes when describing in the embodiments of the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment comprising a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0060] The first aspect of the present application provides a method for evaluating the structural status of a ship unloader, such as Figure 1 As shown, including:

[0061] S101, obtaining operating parameters of a target structure within a detection period.

[0062] It should be noted that in actual application scenarios, the target structure can be any one of the various action mechanisms of the ship unloader, which include but are not limited to: a lifting mechanism, a grabbing mechanism, a trolley running mechanism, a trolley traveling mechanism and a pitching mechanism.

[0063] It should be noted that, in actual application scenarios, the above detection period may be the time required for each target mechanism to respond to the operation instruction and perform a complete action. This application does not make too many restrictions and redundant descriptions on the specific values ​​of the above detection period.

[0064] It should be noted that, in actual application scenarios, the above-mentioned operating parameters include the timing operating parameters of the target device when performing the corresponding action in response to the operation instruction, which are collected by the sensor device deployed on the target device, and the timing operation instruction parameters collected by the controller of the target device. For example, when the target device is a lifting mechanism, its operating parameters during the detection period include the lifting speed of the lifting mechanism, and the corresponding hoisting device rising instruction and hoisting device stopping instruction of the lifting mechanism.

[0065] It should be noted that in actual application scenarios, the above Figure 1The implementation of step S101 shown may include the following steps A1 to A2.

[0066] Step A1, when the preset timer indicates that the current time is the start time of the detection period, a signal collection instruction is sent to each sensor device corresponding to the target mechanism, so that each sensor device collects the operating parameters of the target mechanism at each time during the detection period, and records each operation instruction received by the target mechanism during the detection period. Triggering step A2.

[0067] Step A2, when the preset timer indicates that the current moment is the end moment of the detection period, the operating parameters and operation instructions collected at each moment in the detection period are summarized to obtain the above operating parameters.

[0068] Wherein, the above-mentioned step A1 and the above-mentioned step A2 may preset a timer which may be deployed in the ship unloader control system.

[0069] S102. Utilize a preset calculator in a preset behavior model to extract a continuous type of timing operation parameter group based on the operation parameters; utilize a preset discrete model in the preset behavior model to extract a discrete type of timing operation parameter group based on the operation parameters; and utilize a preset differential equation system in the preset behavior model to output a predicted operation state parameter group of the target structure within a prediction period based on the continuous type of timing operation parameter group and the discrete type of timing operation parameter group, wherein the discrete type of timing operation parameter group includes an operation parameter group of the target structure under multiple operation states within a detection period.

[0070] It should be noted that in actual application scenarios, the researchers of this application have found through a lot of research that the structural state of the ship unloader structure in actual application scenarios is affected by its operating state. For example, during the transportation process, in order to avoid obstacles during the transportation process, the lifting mechanism of the ship unloader's operating state is affected by the operating instructions and load parameters and presents discrete changes. For example, in order to avoid obstacles, the lifting mechanism is converted from a static state to a slow lifting state. After completing the avoidance, in order to reduce the swing amplitude of the load, the lifting mechanism will be converted from a slow lifting state to a slow lowering state. The conversion of the above operating states is controlled by the operating instructions. The changes of the above operating instructions are discrete, and for a single operating state, its operating parameters are continuous (such as in the slow lifting state, its lifting speed is a continuous parameter). In addition, since in the process of converting the operating state, the load is affected by gravity acceleration, wind resistance, inertia, acceleration applied by the lifting mechanism, etc., the lifting mechanism will be subjected to continuous and dynamically changing stress, thereby causing the structural state of the lifting mechanism to produce continuous dynamic changes. It can be seen that in actual application scenarios, the structural state of the ship unloader structure will be affected by the operating state that is both continuous and discrete, resulting in dynamic changes. However, since the existing physical model is only simulated based on the structural physical parameters collected by the sensor, it does not consider the impact of the ship unloader's operating state on the structural state, which reduces the accuracy of the existing technology in evaluating the structural state of each structure of the ship unloader in actual application scenarios. However, the present application configures a preset behavior model to extract a continuous type of timing operation parameter group and a discrete type of timing operation parameter group from the operating parameters, and configures a preset differential equation system in the preset behavior model based on the continuous type of timing operation parameter group and the discrete type of timing operation parameter group, so that the output predicted operating state parameters fully consider the continuity and discreteness of the operating state changes, thereby improving the characterization accuracy of the operating state of the target structure within the prediction period, and then improving the final evaluation accuracy of the structural state of the target structure.

[0071] It should be noted that, in actual application scenarios, the preset behavior model may be a combination model of the preset calculator, the preset discrete model and the preset differential equation system. Among them, the preset calculator is a virtual device for integrating or derivation of operating parameters to extract a continuous type of sequential operating parameter group that characterizes the changing trend of the operating parameters during the detection period. The preset discrete model may be a parameter extraction model constructed based on the Discrete Event System Specification (DEVS). The present application realizes the extraction of continuous type sequential operating parameter groups and discrete type sequential operating parameter groups that characterize different operating states of the target structure during the detection period by configuring the preset calculator in the preset behavior model to extract continuous type sequential operating parameter groups based on operating parameters, and by using the preset discrete model in the preset behavior model to extract discrete type sequential operating parameter groups based on operating parameters.

[0072] It should be noted that, in actual application scenarios, the above-mentioned preset differential equation system (DifferentialEquation System Specification, DESS) is used to perform differential operations on the parameters that characterize the target structure in the detection period to output a set of differential equations that characterize the operating state of the target structure in the prediction period. The present application configures the above-mentioned preset differential equation system based on a continuous type of timing operation parameter group and a discrete type of timing operation parameter group, so that the output predicted operating state parameter group fully considers the continuity and discreteness of the operating state changes of the target structure, thereby improving the characterization accuracy of the operating state of the target structure in the prediction period.

[0073] S103: Generate a predicted structural state parameter group of the target structure within a prediction period according to the operating parameters and the predicted operating state parameter group using a preset response surface model.

[0074] It should be noted that, in actual application scenarios, the above-mentioned preset response surface model is a physical model that characterizes the stress state of the target structure. This application generates a predicted structural state parameter group of the target structure within the prediction period according to the operating parameters and the predicted operating state parameter group by configuring the preset response surface model, and uses the characteristics of the predicted operating state parameter group carrying the continuity and discrete characteristics of each motion state of the target structure, so that the obtained predicted structural state parameter group can characterize the structural state changes of the target structure under the influence of different operating states in real application scenarios, and uses the operating parameters to correct the prediction process, thereby reducing the probability of outputting abnormal values ​​and improving the generation accuracy of the predicted structural state parameter group.

[0075] S104: Display the predicted structural state parameter group, and output the structural state assessment result of the target structure based on the display feedback result.

[0076] It should be noted that in actual application scenarios, the above Figure 1 The illustrated implementation of step S104 may include the following steps B1 to B2.

[0077] Step B1, importing the predicted structural state parameter group into the preset geometric model, and displaying the preset geometric model after the parameter import on the human-computer interaction interface.

[0078] The preset geometric model can be a digital twin model of a ship unloader constructed based on digital twin technology. The preset geometric model can demonstrate the operating state and structural state of the target structure within the prediction period in response to the predicted structural state parameter group, so as to assist the inspection personnel in evaluating the structural state of the target structure within the prediction period.

[0079] Step B2, analyzing the display feedback results generated by the human-computer interaction interface in response to the user operation, and outputting the structural state assessment results of the target structure.

[0080] The present application realizes the extraction of continuous type of sequential operation parameter group and discrete type of sequential operation parameter group characterizing different operation states of the target structure in the detection period by configuring the preset calculator in the preset behavior model to extract the sequential operation parameter group based on the operation parameters, and the sequential operation parameter group based on the discrete type of the preset discrete model in the preset behavior model. And the preset differential equation system is configured based on the sequential operation parameter group of the continuous type and the sequential operation parameter group of the discrete type, so that the output predicted operation state parameter group fully considers the continuity and discreteness of the operation state change of the target structure, and improves the characterization accuracy of the operation state of the target structure in the prediction period. Subsequently, by configuring the preset response surface model to generate the predicted structural state parameter group of the target structure in the prediction period according to the operation parameters and the predicted operation state parameter group, the predicted operation state parameter group carries the characteristics of the continuity and discrete characteristics of each motion state of the target structure, so that the obtained predicted structural state parameter group can characterize the structural state change of the target structure under the influence of different operation states in the real application scenario, and the prediction process is corrected by the operation parameters, thereby reducing the probability of outputting abnormal values ​​and improving the generation accuracy of the predicted structural state parameter group. Finally, the predicted structural state parameter group is displayed through configuration, and the structural state evaluation result of the target structure is output based on the display feedback result, and the accuracy of the final output structural state evaluation result is further improved by manual verification. It can be seen that this application improves the evaluation accuracy of the structural state of each structure of the ship unloader in actual application scenarios.

[0081] In a possible implementation, the construction process of the preset response surface model includes:

[0082] An initial finite element model of the target structure is constructed based on the structural parameter group of the target structure, and the historical operating state parameters and the historical measured stress parameter group of the target structure are used to simulate and adjust the parameters of the initial finite element model to obtain a preset finite element model. The input of the preset finite element model is the operating parameter group and the predicted operating state parameter group of the structure in the detection period, and the output is the predicted structural state parameter group of each sampling point of each stress component of the structure in the prediction period;

[0083] The design operating parameter groups of each load-bearing component of the target structure are input into a preset finite element model to obtain the response values ​​of the design operating parameter groups of each load-bearing component; the coefficients of the initial polynomial are solved according to the design operating parameter groups and the response values ​​of each load-bearing component using a preset least squares algorithm, and a preset response surface model is constructed based on the initial polynomial with the coefficients substituted into it. The input of the preset response surface model is the operating parameters and the predicted operating state parameter group of the structure during the detection period, and the output is the predicted structural state parameter group of the target sampling points of each load-bearing component of the structure during the prediction period, and the target sampling point is one of the sampling points of the receiving component.

[0084] It should be noted that in actual application scenarios, the above initial finite element model is a physical model built based on the finite element modeling method (Finite Element Modeling) and is used to characterize the physical characteristics of the target structure. Finite element analysis (FEA) refers to a common analysis method that uses data approximation methods to simulate the geometry and load conditions of a real physical system, thereby truly characterizing the physical characteristics of the physical system. In order to improve the analysis accuracy, the existing finite element model will split the physical system into multiple geometric bodies according to the smallest splitting dimension, determine the various force points of the geometric bodies, and then construct a finite element network based on the correspondence between nodes and units. However, this also leads to a decrease in the computational efficiency of the existing finite element model for complex structures. The present application configures the design operating parameter groups of each stress-bearing component of the target structure to be input into a preset finite element model to obtain the response values ​​of the design operating parameter groups of each stress-bearing component; utilizes a preset least squares algorithm to solve the coefficients of the initial polynomial according to the design operating parameter groups of each stress-bearing component and each response value, and constructs a preset response surface model based on the initial polynomial with the coefficients substituted into it. The input of the preset response surface model is the operating parameters and predicted operating state parameter group of the structure during the detection period, and the output is the predicted structural state parameter group of the target sampling points of each stress-bearing component of the structure during the prediction period, so that the obtained preset response surface model only needs to output the predicted structural state parameter group of a target sampling point within the prediction period, thereby reducing the amount of calculation and improving the calculation efficiency compared to the prior art.

[0085] It can be understood by those skilled in the art that, in actual application scenarios, in order to improve the output accuracy of the preset response surface model, after obtaining the preset response surface model through a construction process, the accuracy of the preset response surface model can be verified by methods such as the multi-correlation coefficient method, the root mean square relative error (RMSE) method, and the goodness of fit tool. If the verification fails, the selected values ​​of the design and operation parameters of each force-bearing component are adjusted, and the preset response surface model is rebuilt. This application does not make too many restrictions and redundant descriptions on the specific implementation process of the above-mentioned verification accuracy methods.

[0086] In a possible implementation, extracting a continuous type of sequential operating parameter group based on the operating parameters using a preset calculator in the preset behavior model includes:

[0087] Extract the timing operation signal parameters from the operation parameter group according to the parameter name;

[0088] Using a preset calculator in a preset behavior model to calculate basic operation parameters according to the timing operation signal parameters, and calculating auxiliary operation parameters of multiple dimensions according to the timing operation signal parameters and the basic operation parameters, wherein the dimensions of the auxiliary operation parameters correspond to the data types of the timing operation signal parameters;

[0089] A data group including the timing operation signal parameters, the basic operation parameters and the auxiliary operation parameters of each dimension is determined as a continuous type of timing operation parameter group.

[0090] It should be noted that, in actual application scenarios, the above-mentioned timing operation signal parameters refer to the parameters with continuity in the operation parameters, such as the lifting speed of the hoisting device, the travel speed of the trolley, the opening and closing angle of the grabbing mechanism, etc.

[0091] It should be noted that, in actual application scenarios, the above-mentioned basic operating parameters and auxiliary operating parameters can be parameters that are correlated with the motion state of the target structure after analyzing the motion state and motion characteristics of the target structure. For example, assuming that the target structure is a lifting structure, its timing operation signal parameter is the lifting speed. Based on the analysis of the motion state and motion characteristics of the lifting structure, it can be known that the parameters related to the operating state of the lifting structure include the sling displacement, the sling displacement per unit time and the sling lifting acceleration, and the above-mentioned sling displacement per unit time and the sling lifting acceleration both need to rely on the sling displacement for calculation, then the sling displacement is determined as the basic operating parameter corresponding to the speed type, and the sling displacement per unit time and the sling lifting acceleration are used as auxiliary operating parameters corresponding to the speed type.

[0092] In a possible implementation, extracting a discrete type of timing operation parameter group based on the operation parameters using a preset discrete model in the preset behavior model includes:

[0093] Extracting the operation timing signal parameter from the operation parameter group according to the parameter name, and parsing the operation timing signal parameter to obtain a plurality of operation running state parameters;

[0094] A plurality of operation status parameters are determined as a discrete type of sequential operation parameter group.

[0095] It should be noted that, in actual application scenarios, the above-mentioned operation timing signal parameters include the operation instructions received by the target structure during the detection period and the reception time of each operation instruction. The above-mentioned operation operation status parameters are parameters that characterize the time and type of reception of the operation instructions. For example: assuming that the target structure is a lifting mechanism, assuming that the above-mentioned operation instruction is a load grabbing and releasing instruction, the above-mentioned operation operation status parameters may include, in the order of the lifting time: sling rising, sling stopping and sling descending.

[0096] In a possible implementation, a preset differential equation system in a preset behavior model is used to output a predicted operation state parameter group of a target structure within a prediction period based on a continuous type of time series operation parameter group and a discrete type of time series operation parameter group, including:

[0097] For each operation status parameter in the discrete type timing operation parameter group:

[0098] Extracting each auxiliary operation parameter that is the same as the moment of the operation operation state parameter from the continuous type timing operation parameter group; for each auxiliary operation parameter: using a preset external state transfer function in a preset differential equation system to output the operation state parameter of the target structure at the target moment of the prediction period according to the operation operation state parameter and the auxiliary operation parameter; using a preset state event condition function in a preset behavior model to determine whether the operation state parameter at the target moment is consistent with the operation state represented by the operation operation state parameter, and if so, determining the operation state parameter at the target moment as a predicted operation state parameter of the target structure;

[0099] A data set including a plurality of predicted operating state parameters is determined as a predicted operating state parameter set.

[0100] In order to facilitate the understanding of the operation process of the above-mentioned preset behavior model, a possible implementation of the present application is specifically described here:

[0101] The above preset behavior model HM can be described as a twelve-tuple set structure: HM = <X cont , X discr , Y cont, Y discr , S cont , S discr , δ ext , C int , δ int ,λ discr , f, λ cont >.

[0102] Among them, X cont is the timing operation signal parameter, X discr is the operation timing signal parameter, Y cont For the continuous type of timing operation parameter group, Y discr For discrete timing operation parameter groups, S cont is the basic operating parameter, S discr is the operating state parameter, δ ext is the operating status parameter at the target time, C int is the preset state event condition function, δ int is the preset internal state transfer function, λ discr is the output function of the discrete time series running parameter group, λ cont is the output function of the continuous type of timing operation parameter group, and f is the function change rate, wherein the function change rate f is used to monitor the stability of the preset behavior model.

[0103] Assume that the target structure is the lifting mechanism of a ship unloader, which is used to move the load in the vertical direction.

[0104] Assume that the timing operation signal parameter X cont For: X cont = {lifting speed}. Operation timing signal parameter X discr For: X discr ={Spreader up, spreader down}.

[0105] According to the data type of the lifting mechanism operation parameter, the preset calculator is used to calculate the timing operation signal parameter X cont Perform integral operation to obtain the basic operating parameter S cont For: S cont = {spreader displacement}. Use the preset calculator to run the signal parameter X according to the timing cont and basic operating parameters S cont Solve the auxiliary operation parameters: the unique lifting acceleration of the spreader per unit time. Call λ cont Output continuous type timing operation parameter group Y cont : Y cont ={lifting speed, spreader displacement, unique spreader per spreader time, spreader lifting acceleration}.

[0106] The preset discrete model is used to operate the timing signal parameter X discr Analyze and obtain the operation status parameter S discr :S discr = {spreader rises, spreader stops, spreader falls}. And call the output function λ of the discrete type timing operation parameter group discr Output discrete type timing operation parameter group Y discr : Y discr ={s discr |s discr ∈S discr}, where the operation status parameter s discr The method comprises at least one of: raising the spreader, stopping the spreader, and lowering the spreader.

[0107] Then, the operation status parameters s of each operation state parameter in the discrete type timing operation parameter group are discr , call the preset external state transfer function δ ext :δ ext [(S t1 cont ,s t1 discr ), s t2 discr ]=(S t3 cont ,s t3 discr ), determine the operating state parameters at the target time, where S t1 cont is the basic operating parameter at the first target detection time t1, s t1 discr The operating state parameter of the first target detection time t1, s t2 discr is the operating status parameter at the second target detection time, S t3 cont is the basic operating parameter at the target time t3 of the forecast period, s t3 discr is the operating state parameter of the target time t3 in the prediction period. ext [(spreader displacement, spreader stop), spreader lowering] = (spreader displacement, spreader lowering).

[0108] Then, using the preset state event condition function C in the preset behavior model int Determine whether the operating state parameter at the target time is consistent with the operating state represented by the operation operating state parameter. If so, determine the operating state parameter at the target time as a predicted operating state parameter of the target structure; if not, call the preset internal state transfer function δ int :δ int =[(St1 cont ,s t1 discr ), X t1 cont ]=(S t3 cont ,s t3 discr ). Among them, X t1 cont is the timing operation signal parameter at the first target detection time t1 (e.g., the lifting speed at time t1). In a possible implementation, after extracting the discrete type timing operation parameter group from the operation parameter group using the preset discrete model in the preset behavior model, the above Figure 1 The method for assessing the structural condition of the ship unloader shown also includes:

[0109] The discrete type timing operation parameter group and the continuous type timing operation parameter group in the operation parameter group are dynamically displayed in the target display area in the preset ship unloader geometric model, and the target display area has a corresponding relationship with the target structure.

[0110] It should be noted that, in actual application scenarios, the above-mentioned preset ship unloader geometric model can be a three-dimensional model of the ship unloader constructed based on the digital twin model technology. After the discrete type timing operation parameter group and the continuous type timing operation parameter group in the operation parameter group are imported into the preset ship unloader geometric model, the preset ship unloader geometric model will animate the operation status of the corresponding structure of the ship unloader based on the parameters in the discrete type timing operation parameter group and the continuous type timing operation parameter group in the operation parameter group, and dynamically display the above parameters in the corresponding target display area. This application configures the discrete type timing operation parameter group and the continuous type timing operation parameter group in the operation parameter group to be dynamically displayed in the target display area in the preset ship unloader geometric model, so that the operator can intuitively monitor the real-time operation status of each mechanism of the ship unloader.

[0111] Those skilled in the art can understand that, in actual application scenarios, the above-mentioned preset ship unloading geometric model can be constructed by importing the structural design parameters of the ship unloader into digital twin platforms such as Blender and Unity 3D, and configuring the assembly relationship, motion relationship and other constraints of each structure, thereby completing the construction process of the preset ship unloading geometric model. This application does not make too many restrictions or elaborate on the specific implementation method of using the digital twin platform to construct the preset ship unloading geometric model.

[0112] In a possible implementation, after the above-mentioned preset ship unloading geometric model is built, it can be connected to the communication of each sensor of the ship unloader entity, so as to dynamically collect the above-mentioned Figure 1The operating parameters in step S101 are shown in FIG. 1 . Since the digital twin model has the characteristic of high-speed data transmission. Therefore, in the case of Figure 1 After the evaluation method of the ship unloader structure status shown in the figure is deployed, the above-mentioned preset ship unloader geometric model can be used to implement the above-mentioned Figure 1 Step S101 shown.

[0113] The second aspect of the present application provides a system for evaluating the structural status of a ship unloader, such as Figure 2 As shown, the evaluation system of the structural status of the ship unloader includes:

[0114] The parameter acquisition module 201 is used to obtain the operating parameters of the target structure during the detection period;

[0115] The parameter prediction module 202 is used to extract a continuous type of sequential operation parameter group based on the operation parameters using a preset calculator in the preset behavior model; extract a discrete type of sequential operation parameter group based on the operation parameters using a preset discrete model in the preset behavior model; and output a predicted operation state parameter group of the target structure within the prediction period based on the continuous type of sequential operation parameter group and the discrete type of sequential operation parameter group using a preset differential equation system in the preset behavior model, wherein the discrete type of sequential operation parameter group includes an operation parameter group of the target structure under multiple operation states within the detection period;

[0116] The state prediction module 203 is used to generate a predicted structural state parameter group of the target structure within a prediction period according to the operating parameters and the predicted operating state parameter group using a preset response surface model;

[0117] The state evaluation module 204 is used to display the predicted structural state parameter group and output the structural state evaluation result of the target structure based on the display feedback result.

[0118] In one possible implementation, the above Figure 2 The evaluation system for the structural state of the ship unloader shown further includes a response surface model building module, which is set to:

[0119] An initial finite element model of the target structure is constructed based on the structural parameter group of the target structure, and the historical operating state parameters and the historical measured stress parameter group of the target structure are used to simulate and adjust the parameters of the initial finite element model to obtain a preset finite element model. The input of the preset finite element model is the operating parameter group and the predicted operating state parameter group of the structure in the detection period, and the output is the predicted structural state parameter group of each sampling point of each stress component of the structure in the prediction period;

[0120] The design operating parameter groups of each load-bearing component of the target structure are input into a preset finite element model to obtain the response values ​​of the design operating parameter groups of each load-bearing component; the coefficients of the initial polynomial are solved according to the design operating parameter groups and the response values ​​of each load-bearing component using a preset least squares algorithm, and a preset response surface model is constructed based on the initial polynomial with the coefficients substituted into it. The input of the preset response surface model is the operating parameters and the predicted operating state parameter group of the structure during the detection period, and the output is the predicted structural state parameter group of the target sampling points of each load-bearing component of the structure during the prediction period, and the target sampling point is one of the sampling points of the receiving component.

[0121] In a possible implementation, the parameter prediction module 202 is set to:

[0122] Extract the timing operation signal parameters from the operation parameter group according to the parameter name;

[0123] Using a preset calculator in a preset behavior model to calculate basic operation parameters according to the timing operation signal parameters, and calculating auxiliary operation parameters of multiple dimensions according to the timing operation signal parameters and the basic operation parameters, wherein the dimensions of the auxiliary operation parameters correspond to the data types of the timing operation signal parameters;

[0124] A data group including the timing operation signal parameters, the basic operation parameters and the auxiliary operation parameters of each dimension is determined as a continuous type of timing operation parameter group.

[0125] In a possible implementation, the parameter prediction module 202 is set to:

[0126] Extracting the operation timing signal parameter from the operation parameter group according to the parameter name, and parsing the operation timing signal parameter to obtain a plurality of operation running state parameters;

[0127] A plurality of operation status parameters are determined as a discrete type of sequential operation parameter group.

[0128] In a possible implementation, the parameter prediction module 202 is set to: when outputting the predicted operating state parameter group of the target structure within the prediction period based on the continuous type of time series operating parameter group and the discrete type of time series operating parameter group using the preset differential equation system in the preset behavior model:

[0129] For each operation status parameter in the discrete type timing operation parameter group:

[0130] Extracting each auxiliary operation parameter that is the same as the moment of the operation operation state parameter from the continuous type timing operation parameter group; for each auxiliary operation parameter: using a preset external state transfer function in a preset differential equation system to output the operation state parameter of the target structure at the target moment of the prediction period according to the operation operation state parameter and the auxiliary operation parameter; using a preset state event condition function in a preset behavior model to determine whether the operation state parameter at the target moment is consistent with the operation state represented by the operation operation state parameter, and if so, determining the operation state parameter at the target moment as a predicted operation state parameter of the target structure;

[0131] A data set including a plurality of predicted operating state parameters is determined as a predicted operating state parameter set.

[0132] In one possible implementation, the above Figure 2 The illustrated system for evaluating the structural condition of the ship unloader also includes:

[0133] The operating parameter display module is used to dynamically display the discrete type timing operating parameter group and the continuous type timing operating parameter group in the operating parameter group in the target display area of ​​the preset ship unloader geometric model after extracting the discrete type timing operating parameter group from the operating parameter group using the preset discrete model in the preset behavior model. The target display area has a corresponding relationship with the target structure.

[0134] A third aspect of the present application provides a computer program product, comprising computer-readable instructions, which, when executed on an electronic device, enables the electronic device to implement the method for evaluating the structural status of a ship unloader according to the first aspect or any implementation of the first aspect.

[0135] A fourth aspect of the present application provides an electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0136] The memory is used to store computer programs;

[0137] The processor is used to execute the computer program so that the electronic device can implement the method for evaluating the structural state of the ship unloader according to the first aspect or any implementation of the first aspect.

[0138] A structural schematic diagram of an electronic device provided in the fourth aspect of the present application is as follows Figure 3 The electronic devices in the embodiments of the present application may include but are not limited to fixed terminals such as mobile phones, notebook computers, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, and the like. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0139] like Figure 3 As shown, the electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 to a random access memory (RAM) 303. When the electronic device is powered on, various programs and data required for the operation of the electronic device are also stored in the RAM 303. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0140] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a memory card, a hard disk, etc.; and communication devices 309. The communication device 309 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 An electronic device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0141] A fifth aspect of the present application provides a computer storage medium, which carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the method for evaluating the structural status of a ship unloader according to the first aspect or any implementation of the first aspect.

[0142] It should also be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines.

[0143] Through the description of the above implementation mode, the technicians in the field can clearly understand that the present application can be implemented by means of software plus necessary general hardware, and of course, it can also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components, etc. In general, all functions completed by computer programs can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be various, such as analog circuits, digital circuits or special circuits. However, for the present application, software program implementation is a better implementation mode in more cases. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer floppy disk, a U disk, a mobile hard disk, a ROM, a RAM, a disk or an optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, a training device, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0144] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.

[0145] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a training device, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, training device, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device, a data center, etc. that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

Claims

1. A method for evaluating the structural status of a ship unloader, characterized in that: include: Obtaining the operating parameters of the target structure during the detection period; Extracting a continuous type of sequential operating parameter group based on the operating parameters using a preset calculator in a preset behavior model; Extracting a discrete type of sequential operation parameter group based on the operation parameters using a preset discrete model in the preset behavior model; and outputting a predicted operation state parameter group of the target structure within a prediction period based on the continuous type of sequential operation parameter group and the discrete type of sequential operation parameter group using a preset differential equation system in the preset behavior model, wherein the discrete type of sequential operation parameter group includes an operation parameter group of the target structure under multiple operation states within the detection period; Generate a predicted structural state parameter group of the target structure within the predicted time period according to the operating parameters and the predicted operating state parameter group using a preset response surface model; The predicted structural state parameter group is displayed, and the structural state evaluation result of the target structure is output based on the display feedback result.

2. The method for evaluating the structural status of a ship unloader according to claim 1, characterized in that: The process of constructing the preset response surface model includes: An initial finite element model of the target structure is constructed based on the structural parameter group of the target structure, and the historical operating state parameters and the historical measured stress parameter group of the target structure are used to simulate and adjust the parameters of the initial finite element model to obtain a preset finite element model, wherein the input of the preset finite element model is the operating parameter group and the predicted operating state parameter group of the structure within the detection period, and the output is the predicted structural state parameter group of each sampling point of each stress component of the structure within the prediction period; The design operation parameter groups of each load-bearing component of the target structure are input into the preset finite element model to obtain the response values ​​of the design operation parameter groups of each load-bearing component; the coefficients of the initial polynomial are solved according to the design operation parameter groups of each load-bearing component and each response value using a preset least squares algorithm, and the preset response surface model is constructed based on the initial polynomial substituted with the coefficients, the input of the preset response surface model is the operation parameters and the predicted operation state parameter group of the structure within the detection period, and the output is the predicted structure state parameter group of the target sampling points of each load-bearing component of the structure within the prediction period, and the target sampling point is one of the sampling points of the receiving component.

3. The method for evaluating the structural status of a ship unloader according to claim 1, characterized in that: The step of extracting a continuous type of sequential operating parameter group based on the operating parameters by using a preset calculator in a preset behavior model includes: Extracting a timing operation signal parameter from the operation parameter group according to the parameter name; Calculate basic operation parameters according to the timing operation signal parameters using a preset calculator in the preset behavior model, and calculate auxiliary operation parameters of multiple dimensions according to the timing operation signal parameters and the basic operation parameters, wherein the dimensions of the auxiliary operation parameters have a corresponding relationship with the data types of the timing operation signal parameters; A data group including the timing operation signal parameter, the basic operation parameter and the auxiliary operation parameters of each dimension is determined as the continuous type of timing operation parameter group.

4. The method for evaluating the structural status of a ship unloader according to claim 3, characterized in that: The step of extracting a discrete type of sequential operating parameter group based on the operating parameters by using a preset discrete model in the preset behavior model includes: Extracting an operation timing signal parameter from the operation parameter group according to the parameter name, and parsing the operation timing signal parameter to obtain a plurality of operation running state parameters; A plurality of operation status parameters are determined as a discrete type of sequential operation parameter group.

5. The method for evaluating the structural status of a ship unloader according to claim 4, characterized in that: The method of using the preset differential equation system in the preset behavior model to output the predicted operation state parameter group of the target structure within the prediction period based on the continuous type time series operation parameter group and the discrete type time series operation parameter group includes: For each of the operation status parameters in the discrete type sequential operation parameter group: Extracting each of the auxiliary operating parameters that are the same as the moment of the operating operating state parameter from the continuous type timing operating parameter group; for each of the auxiliary operating parameters: using the preset external state transfer function in the preset differential equation system to output the operating state parameter of the target structure at the target moment of the prediction period according to the operating operating state parameter and the auxiliary operating parameter; using the preset state event condition function in the preset behavior model to determine whether the operating state parameter at the target moment is consistent with the operating state represented by the operating state parameter, and if so, determining the operating state parameter at the target moment as a predicted operating state parameter of the target structure; A data set including a plurality of the predicted operating state parameters is determined as a predicted operating state parameter set.

6. The method for evaluating the structural status of a ship unloader according to claim 1, characterized in that: After extracting a discrete type of sequential operating parameter group from the operating parameter group using a preset discrete model in the preset behavior model, the method further includes: The discrete type sequential operation parameter group and the continuous type sequential operation parameter group in the operation parameter group are dynamically displayed in a target display area in a preset ship unloader geometric model, and the target display area has a corresponding relationship with the target structure.

7. A system for evaluating the structural status of a ship unloader, characterized in that: include: A parameter acquisition module is used to obtain the operating parameters of the target structure during the detection period; A parameter prediction module, used for extracting a continuous type of sequential operation parameter group based on the operation parameters by using a preset calculator in a preset behavior model; Extracting a discrete type of sequential operation parameter group based on the operation parameters using a preset discrete model in the preset behavior model; and outputting a predicted operation state parameter group of the target structure within a prediction period based on the continuous type of sequential operation parameter group and the discrete type of sequential operation parameter group using a preset differential equation system in the preset behavior model, wherein the discrete type of sequential operation parameter group includes an operation parameter group of the target structure under multiple operation states within the detection period; A state prediction module, used for generating a predicted structural state parameter group of the target structure within the prediction period according to the operating parameters and the predicted operating state parameter group by using a preset response surface model; The state evaluation module is used to display the predicted structural state parameter group and output the structural state evaluation result of the target structure based on the display feedback result.

8. A computer program product, characterized in that It comprises computer-readable instructions, and when the computer-readable instructions are executed on an electronic device, the electronic device implements the method for evaluating the structural status of a ship unloader as claimed in any one of claims 1 to 6.

9. An electronic device, characterized in that: The method comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program so that the electronic device can implement the method for evaluating the structural status of a ship unloader as claimed in any one of claims 1 to 6.

10. A computer storage medium, characterized in that: The storage medium carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, the electronic device can implement the method for evaluating the structural status of a ship unloader as described in any one of claims 1 to 6.

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