Monitoring method, electronic device and storage medium for hydrogen-induced cracking risk

Abstract

The embodiments of the present application provide a method, electronic device and storage medium for monitoring the risk of hydrogen-induced cracking. The method includes: determining the object to be monitored, the toughness loss data of the object to be monitored under the first environmental condition, and the hydrogen permeation density data of the object to be monitored under the second environmental condition; determining the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored; constructing a relationship model characterizing the toughness loss data and the hydrogen permeation density data according to the hydrogen-induced cracking risk level, the toughness loss data and the hydrogen permeation density data; acquiring real-time monitoring data of the hydrogen permeation current density of the object to be monitored under the target environmental condition; monitoring the hydrogen-induced cracking risk of the object to be monitored in real time according to the real-time monitoring data of the hydrogen permeation current density and the relationship model. This method solves the problem of low efficiency in monitoring hydrogen-induced cracking of metal materials in hydrogen environments.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of computer technology, and in particular to a method for monitoring hydrogen-induced cracking risk, an electronic device, and a storage medium. Background Art

[0002] With the development of carbon peak and carbon neutrality goals, green hydrogen technology has become an important way to reduce carbon emissions, build a clean and low-carbon energy system, and promote sustainable social and economic development. Green hydrogen technology involves the use of green electricity (mainly generated by renewable energy such as wind and solar energy) to electrolyze water to produce hydrogen, thereby producing carbon-free hydrogen.

[0003] During the production process of green hydrogen, hydrogen molecules in the medium inside hydrogen facilities and pipelines can be adsorbed on the surface of metal materials and further decomposed into hydrogen atoms that penetrate into the interior of the material, causing hydrogen embrittlement of the material, leading to cracks in the material, and even causing brittle cracking and failure of pipelines and equipment.

[0004] In the prior art, the monitoring of hydrogen-induced cracking of metal materials in a hydrogen environment has the problem of low efficiency. Summary of the invention

[0005] The embodiments of the present application provide a method for monitoring hydrogen-induced cracking risk, an electronic device, and a storage medium, which are used to solve the problem of low efficiency in monitoring hydrogen-induced cracking of metal materials in a hydrogen environment.

[0006] In a first aspect, an embodiment of the present application provides a method for monitoring hydrogen-induced cracking risk, comprising:

[0007] Determining toughness loss data of the object to be monitored under a first environmental condition and hydrogen permeation density data under a second environmental condition;

[0008] Determine the hydrogen-induced cracking risk level of the material to be monitored based on the toughness loss data of the object to be monitored under the first environmental conditions;

[0009] According to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental condition, and the hydrogen permeation density data under the second environmental condition, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed;

[0010] Real-time acquisition of real-time monitoring data of hydrogen permeation current density of the monitored object under target environmental conditions;

[0011] The risk of hydrogen-induced cracking of the object to be monitored is monitored in real time based on the real-time monitoring data and relationship model of the hydrogen permeation current density of the object to be monitored under the target environmental conditions.

[0012] In a possible implementation, when the first environmental condition and the second environmental condition are both hydrogen environmental conditions,

[0013] Determining toughness loss data of the object to be monitored under a first environmental condition and hydrogen permeation density data under a second environmental condition, including:

[0014] Determine the objects to be monitored, there are at least two objects to be monitored, and different objects to be monitored have different hydrogen blending ratios;

[0015] Conduct a fracture toughness test on the monitored object under hydrogen environment conditions to obtain toughness loss data representing the degree of toughness loss or the fracture toughness value;

[0016] A hydrogen permeation current density test is performed on the monitored object under hydrogen environment conditions to obtain hydrogen permeation density data characterizing the hydrogen permeation current density.

[0017] In a possible implementation, when the first environmental condition includes a hydrogen environmental condition and an inert environmental condition, and the second environmental condition includes a hydrogen environmental condition,

[0018] Determining toughness loss data of the object to be monitored under a first environmental condition and hydrogen permeation density data under a second environmental condition, including:

[0019] Determine the objects to be monitored;

[0020] Obtaining fracture toughness and hydrogen permeation density data of the object to be monitored in a hydrogen environment, and fracture toughness of the object to be monitored in an inert environment;

[0021] According to the fracture toughness of the monitored objects with different hydrogen doping ratios in a hydrogen environment and the fracture toughness of the monitored objects with different hydrogen doping ratios in an inert environment, a fracture toughness ratio characterizing toughness loss data is obtained.

[0022] In a possible implementation manner, determining the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental condition includes:

[0023] Determine the preset classification intervals for hydrogen-induced cracking risk levels;

[0024] The hydrogen induced cracking risk level of the material to be monitored is determined based on the preset division interval of the hydrogen induced cracking risk level and the fracture toughness ratio that characterizes the toughness loss data.

[0025] In a possible implementation, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed according to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental conditions, and the hydrogen permeation density data of the object to be monitored under the second environmental conditions, including:

[0026] Performing a first transformation process on the hydrogen permeation density data to obtain a first input item of the relationship model;

[0027] Performing a second transformation process on the hydrogen permeation density data to obtain a second input item of the relationship model;

[0028] According to the first input item, the second input item, the hydrogen permeation density data and the hydrogen-induced cracking risk level of the material to be monitored, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed.

[0029] In a possible implementation, the relationship model between the toughness loss data and the hydrogen permeation density data satisfies:

[0030] y=Dx 3 +Cx 2 +Bx+A;

[0031] Among them, y represents the toughness loss data of the monitored object under the first environmental conditions, x represents the hydrogen permeation density data of the monitored object under the second environmental conditions, D represents the first correlation coefficient, C represents the second correlation coefficient, B represents the first correlation coefficient, and A represents other correlation coefficients.

[0032] In a possible implementation, based on the real-time monitoring data and relationship model of the hydrogen permeation current density of the monitored object under the target environmental conditions acquired in real time, the risk of hydrogen-induced cracking of the monitored object is monitored in real time, including:

[0033] Inputting the hydrogen permeation current density of the monitored object under target environmental conditions obtained in real time into the relationship model to obtain the model output result;

[0034] According to the model output results, the risk of hydrogen-induced cracking of the monitored object is monitored in real time.

[0035] In a second aspect, an embodiment of the present application provides a monitoring device for hydrogen-induced cracking risk, comprising:

[0036] A first determination module is used to determine toughness loss data of the monitored object under a first environmental condition and hydrogen permeation density data under a second environmental condition;

[0037] A second determination module is used to determine the hydrogen-induced cracking risk level of the material to be monitored based on the toughness loss data of the object to be monitored under the first environmental conditions;

[0038] A processing module, for constructing a relationship model characterizing the toughness loss data and the hydrogen permeation density data according to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental condition, and the hydrogen permeation density data under the second environmental condition;

[0039] An acquisition module, used to acquire real-time monitoring data of the hydrogen permeation current density of the monitored object under target environmental conditions;

[0040] The monitoring module is used to monitor the hydrogen-induced cracking risk of the object to be monitored in real time based on the real-time monitoring data and relationship model of the hydrogen permeation current density of the object to be monitored under the target environmental conditions.

[0041] In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0042] Memory stores computer-executable instructions;

[0043] The processor executes the computer-executable instructions stored in the memory to implement various possible implementations of the first aspect and / or the second aspect as described above.

[0044] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0045] The embodiment of the present application provides a method, electronic device and storage medium for monitoring the risk of hydrogen-induced cracking. After determining the toughness loss data of the monitored object under the first environmental condition and the hydrogen permeation density data under the second environmental condition in a simulated environment, the risk level of hydrogen-induced cracking of the material to be monitored is determined according to the toughness loss data of the monitored object under the first environmental condition. Then, according to the risk level of hydrogen-induced cracking of the material to be monitored, the toughness loss data of the monitored object under the first environmental condition and the hydrogen permeation density data under the second environmental condition, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed, so that the monitoring of hydrogen-induced cracking of metal materials can be achieved by using the relationship model in a complex and difficult to simulate real environment. By acquiring the real-time monitoring data of the hydrogen permeation current density of the monitored object under the target environmental condition in real time, the risk of hydrogen-induced cracking of the monitored object is monitored in real time according to the real-time monitoring data of the hydrogen permeation current density of the monitored object under the target environmental condition acquired in real time and the relationship model, the effect of improving the monitoring efficiency of hydrogen-induced cracking of metal materials in a hydrogen environment is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0047] Figure 1 A schematic diagram of a scenario of a method for monitoring the risk of hydrogen-induced cracking provided in an embodiment of the present application;

[0048] Figure 2 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 1 ;

[0049] Figure 3 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 2 ;

[0050] Figure 4 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 3 ;

[0051] Figure 5 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 4 ;

[0052] Figure 6 A model diagram of the functional relationship between the fracture toughness in a hydrogen environment and the hydrogen permeation current density provided in the embodiment of the present application;

[0053] Figure 7 A schematic diagram of the structure of a monitoring device for hydrogen-induced cracking risk provided in an embodiment of the present application;

[0054] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0055] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0056] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0057] First, the terms involved in this application are explained:

[0058] Hydrogen embrittlement: refers to the fact that in a hydrogen environment, the fracture toughness of metal materials may decrease due to the penetration and adsorption of hydrogen;

[0059] Fracture toughness: refers to the ability of a material to resist crack propagation when there is a crack or notch;

[0060] Devanathan-Stachurski double cell principle: The sample is placed between two electrolytic cells, one of which (cathode side) is exposed to high-pressure hydrogen, while the other (anode side) contains an alkaline medium. By applying a potential and measuring the current through the sample, the rate at which hydrogen atoms permeate from one side to the other can be calculated. The hydrogen permeation current density at steady state reflects the permeability of the material to hydrogen under specific conditions;

[0061] Relational model: A mathematical model, which can be linear or nonlinear, depending on the characteristics of the data and the results of the analysis, can also be an equation, a set of equations, or an algorithm that can describe the relationship between experimentally relevant parameters.

[0062] The existing hydrogen-induced cracking monitoring technologies are mainly divided into laboratory testing and field monitoring. Among them: laboratory testing methods generally use more complex devices and detection methods, such as fluorescent agent sprayers, penetrant testing and ultrasonic sensor scanning, but these methods are only suitable for simulation tests. For some complex scene conditions or long-term real-time monitoring, it requires a lot of manpower and material costs. Although the field monitoring method pays more attention to practicality and real-time performance, the current existing field monitoring methods (for example, using extensometers, back strain principle and DC potential drop principle monitoring devices for monitoring) are only suitable for environmental conditions at normal temperature and pressure. For some special environmental conditions, such as high-pressure hydrogen environments, more accurate monitoring cannot be achieved.

[0063] A method for monitoring the risk of hydrogen-induced cracking provided in an embodiment of the present application is to monitor the hydrogen-induced cracking of metal materials in hydrogen-prone equipment and pipelines. The method obtains the toughness loss data of the monitored object under the first environmental conditions and the hydrogen permeation density data under the second environmental conditions to obtain measurement data in a simulated environment. After determining the hydrogen-induced cracking risk level of the material to be monitored based on the toughness loss data of the monitored object under the first environmental conditions, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed using the hydrogen-induced cracking risk level, toughness loss data and hydrogen permeation density data of the material to be monitored, thereby converting the monitoring of hydrogen-induced cracking in a simulated environment into monitoring of hydrogen permeation density data based on the toughness loss data. When it is necessary to observe the risk of hydrogen-induced cracking, the real-time monitoring data of the hydrogen permeation current density of the monitored object under the target environmental conditions is obtained in real time. The hydrogen-induced cracking risk of the monitored object can be obtained by combining the relationship model, thereby solving the technical problem of low efficiency in monitoring hydrogen-induced cracking of metal materials in a hydrogen-prone environment.

[0064] Figure 1 A scenario diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application, such as Figure 1 As shown, the execution subject of the information processing method provided in the embodiment of the present application can be a monitoring system for hydrogen-induced cracking risk, and the system can be a server. Among them, the server can be a computer, notebook, tablet or mobile phone and other devices. This embodiment does not impose any special restrictions on the implementation method of the execution subject, as long as the execution subject can determine the object to be monitored, the toughness loss data of the object to be monitored under the first environmental conditions, and the hydrogen permeation density data of the object to be monitored under the second environmental conditions, and determine the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental conditions, and construct a relationship model characterizing the toughness loss data and the hydrogen permeation density data according to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental conditions, and the hydrogen permeation density data of the object to be monitored under the second environmental conditions, and obtain the real-time monitoring data of the hydrogen permeation current density of the object to be monitored under the target environmental conditions in real time, and monitor the hydrogen-induced cracking risk of the object to be monitored in real time according to the real-time monitoring data and relationship model of the hydrogen permeation current density of the object to be monitored under the target environmental conditions. The following is a detailed description of the technical scheme of the embodiment of the present application and how the technical scheme of the embodiment of the present application solves the above-mentioned technical problems with specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. The following will describe the embodiments of the present application in conjunction with the accompanying drawings.

[0065] Figure 2 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 1 ,like Figure 2 As shown, the method includes:

[0066] S201, determining toughness loss data of a monitored object under a first environmental condition and hydrogen permeation density data under a second environmental condition.

[0067] The object to be monitored may refer to a material that is sensitive to hydrogen under a specific environment. For example, the object to be monitored may be high-strength steel, a magnesium alloy, or an aluminum alloy.

[0068] Toughness loss data may refer to data that measures the degree of toughness loss of a material under specific conditions, such as critical crack tip opening displacement (CTOD), stress intensity factor (K), or fracture toughness.

[0069] Environmental conditions may refer to environmental settings for measurement or testing, and the environmental conditions may be set arbitrarily as needed, for example, a temperature range may be limited, an air pressure range may be limited, or a certain concentration ratio of the air may be limited, wherein the first environmental condition may refer to the environmental condition for measuring the toughness loss data of the object to be monitored, and the second environmental condition may refer to the environmental condition for measuring the hydrogen permeation density data of the object to be monitored, and the first environmental condition and the second environmental condition may be the same or different. In an embodiment of the present application, the first environmental condition and the second environmental condition may include limiting the hydrogen concentration in the air.

[0070] Determining the toughness loss data under the first environmental conditions may refer to measuring the toughness loss data of the object to be monitored under the constraints of the first environment, and determining the hydrogen permeation density data of the object to be monitored under the second environmental conditions may refer to measuring the hydrogen permeation density data of the object to be monitored under the constraints of the second environment.

[0071] The hydrogen permeation density data can refer to a measure of the performance and hydrogen embrittlement risk of a material under a specific environment. In the embodiment of the present application, the hydrogen permeation density data is the hydrogen permeation steady-state current density measured under the second environmental conditions, which is used to quantify the diffusion behavior of hydrogen atoms in hydrogen-containing equipment and pipeline metal materials in a hydrogen environment.

[0072] In the embodiment of the present application, the environmental condition is set to the second environmental condition, and the environmental condition is set to the hydrogen environmental condition, then the hydrogen permeation density data under the second environmental condition can refer to the hydrogen permeation steady-state current density of the object to be monitored measured under the hydrogen environmental condition. The hydrogen permeation density data is specifically the hydrogen permeation current density, which is carried out according to the Devanathan-Stachurski double electrolytic cell principle, records and measures the change of the hydrogen permeation current density over time, and then calculates the hydrogen permeation current density in a stable state.

[0073] S202: Determine the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental condition.

[0074] Among them, the hydrogen-induced cracking risk level can refer to the possibility and severity of hydrogen-induced cracking of materials under certain conditions. The classification can be divided by the staff according to the actual situation. The hydrogen-induced cracking risk level can be determined according to the ratio of fracture toughness under a hydrogen environment and under an inert environment. In the embodiment of the present application, the hydrogen-induced cracking risk level is divided into four levels with reference to the commonly used classification method, namely, severe damage, moderate damage, slight damage, and no obvious damage.

[0075] In an embodiment of the present application, when determining the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental condition, it includes:

[0076] Determine the preset classification intervals for hydrogen-induced cracking risk levels;

[0077] The hydrogen induced cracking risk level of the material to be monitored is determined based on the preset division interval of the hydrogen induced cracking risk level and the fracture toughness ratio that characterizes the toughness loss data.

[0078] Among them, the preset division interval may refer to a series of predefined intervals, which correspond to different ratio intervals of fracture toughness in a hydrogen environment and an inert environment. In the embodiment of the present application, the intervals are divided into A: 0-0.5, B: 0.5-0.86, C: 0.87-0.92 and D: 0.93-1.00. Under the first environmental conditions, the fracture toughness test is performed on the material to be measured to obtain the fracture toughness of the material to be measured, and the obtained fracture toughness is compared with the fracture toughness in an inert environment. This ratio reflects the degree of influence of the hydrogen environment on the toughness of the material and represents the toughness loss data. A, B, C and D correspond to severe damage, moderate damage, slight damage and no obvious damage, respectively. For example, if the toughness loss ratio is in the range of 0-0.50, it is classified as a "severe damage" risk level; if it is in the range of 0.93-1.00, it is considered to be a "no obvious damage" risk level. The interval range changes from 0.5 to 0.36, and then to 0.05. When the risk of hydrogen-induced cracking is very high, the wider interval range can cover more possible serious damage situations and ensure the identification and treatment of high-risk materials. Gradually narrowing the interval range can improve the accuracy of determining the risk of hydrogen-induced cracking.

[0079] S203, constructing a relationship model characterizing the toughness loss data and the hydrogen permeation density data according to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental conditions, and the hydrogen permeation density data of the object to be monitored under the second environmental conditions.

[0080] Among them, constructing a relationship model that characterizes the toughness loss data and the hydrogen permeation density data may refer to constructing a functional relationship based on the relationship between the toughness loss data and the hydrogen permeation density data of the material to be monitored.

[0081] In the embodiment of the present application, according to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental conditions, and the hydrogen permeation density data of the object to be monitored under the second environmental conditions, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed, including:

[0082] Performing a first transformation process on the hydrogen permeation density data to obtain a first input item of the relationship model;

[0083] Performing a second transformation process on the hydrogen permeation density data to obtain a second input item of the relationship model;

[0084] According to the first input item, the second input item, the hydrogen permeation density data and the hydrogen-induced cracking risk level of the material to be monitored, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed.

[0085] Among them, performing the first transformation processing on the hydrogen permeation density data and performing the second transformation processing on the hydrogen permeation density data may refer to performing mathematical processing on the hydrogen permeation density data, such as cubic operation, multiplication by a preset coefficient, and the like.

[0086] The first input item and the second input item may refer to input parts used to input into the relational model, and the first input item and the second input item in the relational model are mathematically processed, such as addition or subtraction, as part of the relational model.

[0087] In the embodiment of the present application, the relationship model between the toughness loss data and the hydrogen permeation density data satisfies:

[0088] y=Dx 3 +Cx 2 +Bx+A;

[0089] Among them, y represents the toughness loss data of the monitored object under the first environmental condition, x represents the hydrogen permeation density data of the monitored object under the second environmental condition, D represents the first correlation coefficient, C represents the second correlation coefficient, B represents the first correlation coefficient, and A represents other correlation coefficients. For example, when A is 0.3045, B is 6.0108, C is -15.049, and D is 9.793, the functional relationship between y and x is obtained, and the relationship model between the toughness loss data and the hydrogen permeation density data is:

[0090] y=9.793x3-15.049x2+6.0108x+0.3045;

[0091] When the value of x is obtained, the specific value of y can be obtained, and then the hydrogen-induced cracking risk level of the monitored object can be determined according to the value of y.

[0092] S204, acquiring real-time monitoring data of hydrogen permeation current density of the monitored object under target environmental conditions;

[0093] S205 , monitoring the hydrogen-induced cracking risk of the object to be monitored in real time according to the real-time monitoring data of the hydrogen permeation current density of the object to be monitored under the target environmental conditions and the relationship model acquired in real time.

[0094] Among them, the target environmental conditions may refer to the service environmental conditions of the object to be monitored. In the embodiment of the present application, the target environmental conditions refer to the service environment with complex media and changing working conditions.

[0095] The real-time monitoring data of the hydrogen permeation current density under the target environmental conditions may refer to the hydrogen permeation behavior of the monitored object in the service environment. In the embodiment of the present application, the hydrogen permeation current density is the current density generated by the permeation behavior of hydrogen atoms through the material in the electrochemical test.

[0096] In some embodiments, a test device based on the Devanathan-Stachurski double electrolytic cell principle is used to obtain the hydrogen permeation current density. This device consists of two electrolytic cells, and the object to be monitored is placed between the two electrolytic cells, one of which (cathode side) is exposed to hydrogen, and the other (anode side) contains an alkaline medium. Hydrogen enters the sample by applying a current on the cathode side, and the permeated hydrogen atoms are oxidized by applying a potential on the anode side to generate a hydrogen permeation current. The hydrogen permeation current density can be obtained by measuring the hydrogen permeation current. During the test, the change of the hydrogen permeation current over time is recorded until a steady-state value is reached. The hydrogen permeation current density at steady state reflects the permeability of the material to hydrogen under specific conditions.

[0097] In the embodiment of the present application, the risk of hydrogen-induced cracking of the object to be monitored is monitored in real time according to the real-time monitoring data and relationship model of the hydrogen permeation current density of the object to be monitored under the target environmental conditions obtained in real time, including:

[0098] Inputting the hydrogen permeation current density of the monitored object under target environmental conditions obtained in real time into the relationship model to obtain the model output result;

[0099] According to the model output results, the risk of hydrogen-induced cracking of the monitored object is monitored in real time.

[0100] In an embodiment of the present application, after obtaining the relationship model between toughness loss data and hydrogen permeation density data, when it is necessary to monitor the risk of hydrogen-induced cracking, the hydrogen permeation density data of the object to be monitored under the environmental conditions can be obtained in real time, input into the relationship model, and the model output result can be obtained. Then, combined with the classification standard of hydrogen-induced cracking risk, the hydrogen-induced cracking risk of the object to be monitored under the environmental conditions can be obtained. The monitoring cycle can be set, and the cycle size can be adjusted according to the detection results within the cycle to improve the detection accuracy by multiple monitoring. For example, 30s is set as the cycle to monitor the risk of hydrogen-induced cracking. If severe damage is determined within 0-30s, the detection cycle time is shortened to 15s, and re-monitoring is performed within the next 30-45s. If it is still determined to be severe damage, it can be concluded that the risk of hydrogen-induced cracking is severe damage. Otherwise, the determination is inaccurate and monitoring continues.

[0101] A method for monitoring the risk of hydrogen-induced cracking provided in an embodiment of the present application collects toughness loss data and hydrogen permeation density data under different hydrogen doping ratios by conducting high-pressure hydrogen environment fracture toughness tests and hydrogen permeation current density tests on metal materials in a laboratory environment. Using these data, the hydrogen-induced cracking risk level of the material is determined according to the preset risk level classification standard. Then, a relationship model is constructed to describe the relationship between the toughness loss data and the hydrogen permeation density data. Finally, by real-time monitoring of the hydrogen permeation current density of the metal material in the actual working environment and inputting it into this model, a real-time assessment of the risk of hydrogen-induced cracking of the material is achieved. Thereby, the complex risk assessment process is simplified to direct monitoring of the hydrogen permeation current density, making the risk assessment more intuitive and easy to operate, achieving the effect of real-time monitoring of hydrogen-induced cracking of hydrogen-prone equipment and pipeline metal materials, and providing an effective safety guarantee for the hydrogen energy industry.

[0102] Figure 3 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 2 ,like Figure 3 As shown, in this embodiment Figure 2 Based on the embodiment, in a method for monitoring hydrogen-induced cracking risk, when the first environmental condition and the second environmental condition are both hydrogen environmental conditions, toughness loss data of the object to be monitored under the first environmental condition and hydrogen permeation density data under the second environmental condition are determined. The method includes:

[0103] S301, determining objects to be monitored, where there are at least two objects to be monitored, and different objects to be monitored have different hydrogen blending ratios.

[0104] Among them, in the embodiment of the present application, in a simulated environment, after selecting a metal material as the object to be detected, two or more objects to be monitored are selected for experiments to fully understand the impact of changes in hydrogen concentration on the performance of the metal material. In the embodiment of the present application, samples with different hydrogen doping ratios are selected, namely 5%, 10%, 20% and 30% of X80 steel base materials.

[0105] S302, performing a fracture toughness test on the monitored object under hydrogen environment conditions to obtain toughness loss data representing the toughness loss degree or fracture toughness value;

[0106] S303 , conducting a hydrogen permeation current density test on the monitored object under hydrogen environment conditions to obtain hydrogen permeation density data representing the hydrogen permeation current density.

[0107] In an embodiment of the present application, the degree of toughness loss is selected as the ratio of the fracture toughness of the material in a hydrogen environment to the fracture toughness in an inert environment, and the value of the toughness loss degree is used as the toughness loss data. Toughness loss data is used to quantify the degree of toughness loss of hydrogen-adjacent equipment and pipeline metal materials due to hydrogen penetration and adsorption in a hydrogen environment. In a laboratory, a high-pressure hydrogen environment is simulated, and a fracture toughness test experiment is performed on the monitored object to obtain the degree of toughness loss or fracture toughness value under each sample as the toughness loss data, and the monitored hydrogen permeation current density is selected as the hydrogen permeation density data, thereby creating a sample set for establishing a relationship model between the hydrogen permeation density and the risk of hydrogen-induced cracking of the material to be monitored. For example, an experimental condition with a hydrogen doping ratio of 10% is selected, and the toughness loss degree or fracture toughness value under the sample is measured as the toughness loss data, and the hydrogen permeation current density is measured as the hydrogen permeation density data.

[0108] A method for monitoring the risk of hydrogen-induced cracking provided in an embodiment of the present application selects a plurality of metal material samples with different hydrogen doping ratios, and performs fracture toughness tests and hydrogen permeation current density tests to collect toughness loss data and hydrogen permeation density data. A sample set is then prepared based on the analysis of the toughness loss data and the hydrogen permeation density data, in order to prepare for establishing a relationship model to predict the risk of hydrogen-induced cracking of materials in a hydrogen environment, thereby achieving real-time risk monitoring of metal materials in actual hydrogen energy systems and ensuring the safe and stable operation of hydrogen energy technology.

[0109] Figure 4 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 3 ,like Figure 4 As shown, in this embodiment Figure 2 Based on the embodiment, in a method for monitoring hydrogen-induced cracking risk, when the first environmental condition includes a hydrogen environmental condition and an inert environmental condition, and the second environmental condition includes a hydrogen environmental condition, determining toughness loss data of the object to be monitored under the first environmental condition and hydrogen permeation density data under the second environmental condition, the method includes:

[0110] S401, determining an object to be monitored.

[0111] Among them, in the embodiments of the present application, samples with different hydrogen doping ratios, namely 0%, 5%, 10%, 20% and 30% of X80 steel base materials are selected as the objects to be monitored, where 0% represents an inert environment, and 5%, 10%, 20% and 30% represent increasing hydrogen concentrations.

[0112] S402, obtaining fracture toughness and hydrogen permeation density data of the object to be monitored in a hydrogen environment, and fracture toughness of the object to be monitored in an inert environment.

[0113] In some embodiments, fracture toughness and hydrogen permeation density data are measured at 5%, 10%, 20%, and 30%, respectively, and fracture toughness is measured at 0%.

[0114] S403, obtaining a fracture toughness ratio representing toughness loss data according to the fracture toughness of the monitored objects with different hydrogen doping ratios in a hydrogen environment and the fracture toughness of the monitored objects with different hydrogen doping ratios in an inert environment.

[0115] Among them, the fracture toughness ratio used to characterize the toughness loss data can refer to the degree of toughness loss, which is calculated by dividing the fracture toughness of the monitored object in a hydrogen environment by the fracture toughness of the monitored object in an inert environment. For example, when the hydrogen doping ratio is 5%, the fracture toughness under this condition is obtained and divided by the fracture toughness under 0% conditions to obtain the fracture toughness ratio in a 5% hydrogen doping environment. The fracture toughness ratio in a 5% hydrogen doping environment is used as the toughness loss data in a 5% hydrogen doping environment.

[0116] The embodiment of the present application provides a method for monitoring the risk of hydrogen-induced cracking. By determining the metal material object to be monitored, the metal material object is tested in hydrogen and inert environments respectively to obtain the fracture toughness in hydrogen and inert environments, and the hydrogen permeation density data in hydrogen environments. By comparing the test results of materials with different hydrogen doping ratios in these two environments, the fracture toughness ratio is calculated, that is, the ratio of the fracture toughness in hydrogen environment to that in inert environment, thereby reflecting the degree of influence of hydrogen on the toughness of the material. Figure 3 Based on the embodiment, another sample set is produced to make more adequate preparations for establishing a relationship model to predict the risk of hydrogen-induced cracking of materials in a hydrogen environment, thereby enhancing the accuracy of real-time risk monitoring of metal materials in actual hydrogen energy systems.

[0117] Figure 5 A schematic diagram of a method for monitoring hydrogen-induced cracking risk provided in an embodiment of the present application Figure 4 ,like Figure 5 As shown in Figure 1, a high-pressure hydrogen environment is set up in a laboratory environment. First, a fracture toughness test is performed to obtain the hydrogen-induced cracking risk level and toughness loss data, as shown in Tables 1 and 2. Secondly, a hydrogen permeation current density test is performed to obtain the hydrogen permeation current density, as shown in Table 3. Then, a relationship model characterizing the toughness loss data and the hydrogen permeation current density is constructed. Finally, when hydrogen-induced cracking is monitored on site, the hydrogen permeation current density is monitored online to infer the hydrogen-induced cracking risk of the monitored object in real time, as shown in Table 3. Figure 6 shown.

[0118] Table 1:

[0119]

[0120] Table 1 is a fracture toughness test comparison chart provided in an embodiment of the present application. As shown in Table 1, the object to be monitored is selected as X80 pipeline steel, and the total pressure is selected as 12 MPa. The fracture toughness test is performed on the X80 pipeline steel. It can be seen that under the environmental conditions of 0%, 5%, 10%, 20% and 30% hydrogen doping ratios, the characteristic values ​​CTOD are 0.80, 0.78, 0.72, 0.55 and 0.41 respectively. When the hydrogen doping ratio is 5%, the fracture toughness data is 0.78 / 0.80=0.975, and the fracture toughness ratio characterizing the toughness loss data is 0.975. Similarly, when the hydrogen doping ratio is 10%, the fracture toughness ratio characterizing the toughness loss data is 0.900, when the hydrogen doping ratio is 20%, the fracture toughness ratio characterizing the toughness loss data is 0.688, and when the hydrogen doping ratio is 30%, the fracture toughness ratio characterizing the toughness loss data is 0.513.

[0121] Table 2:

[0122]

[0123] Table 2 is a schematic table of hydrogen-induced cracking risk levels provided in the embodiments of the present application. As shown in Table 2, the hydrogen-induced cracking risk is divided into four levels according to the ratio of fracture toughness under hydrogen environment and inert environment, namely, severe damage, moderate damage, slight damage, and no obvious damage, and the corresponding ratios are 0-0.50, 0.5-0.86, 0.87-0.92, and 0.93-1.00, respectively.

[0124] Table 3:

[0125]

[0126] Table 3 is a schematic table of hydrogen permeation steady-state current density provided in the embodiment of the present application. As shown in Table 3, referring to GB / T30074, using the Devanathan-Stachurski double electrolytic cell principle, when conducting a hydrogen permeation test in a high-pressure hydrogen environment, the selected sample is a sheet-shaped material with a surface roughness of 0.8 μm, and the material is X80, which is the same as the hydrogen permeation material. The total test pressure is 12 MPa, the hydrogen charging cell is charged with high-pressure hydrogen, and the oxidation cell uses an alkaline gel electrolyte and an external 0.3 V vs SCE potential. The hydrogen permeation current of the sample electrode and the platinum electrode is recorded over time, so as to calculate the hydrogen permeation steady-state current density. When the hydrogen doping ratio is 5%, 10%, 20%, and 30%, respectively, the hydrogen permeation steady-state current density obtained is 0.36, 0.42, 0.55, and 0.68, respectively, as a sample set of hydrogen permeation density data.

[0127] Figure 6 The model diagram of the functional relationship between the fracture toughness in a hydrogen environment and the hydrogen permeation current density provided in the embodiment of the present application is as follows: Figure 6As shown, it can be seen that the fracture toughness in hydrogen environment has a nonlinear relationship with the hydrogen penetration current density.

[0128] Figure 7 A schematic diagram of the structure of a monitoring device for hydrogen-induced cracking risk provided in an embodiment of the present application is shown in FIG. Figure 7 As shown, the monitoring device 70 for hydrogen-induced cracking risk provided in this embodiment includes:

[0129] A first determination module 701 is used to determine the object to be monitored, toughness loss data of the object to be monitored under a first environmental condition, and hydrogen permeation density data of the object to be monitored under a second environmental condition;

[0130] The second determination module 702 is used to determine the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental condition;

[0131] Processing module 703, for constructing a relationship model representing the hydrogen permeation density and hydrogen induced cracking risk of the material to be monitored according to the hydrogen induced cracking risk level and hydrogen permeation density data of the material to be monitored;

[0132] An acquisition module 704 is used to acquire hydrogen permeation density data of the object to be monitored under target environmental conditions in real time;

[0133] The monitoring module 705 is used to monitor the hydrogen-induced cracking risk of the object to be monitored in real time according to the hydrogen permeation current density and the relationship model of the object to be monitored under the target environmental conditions obtained in real time.

[0134] In a possible implementation, when the first environmental condition and the second environmental condition are both hydrogen environmental conditions, the first determination module 701 may also be used to determine an object to be monitored, where there are at least two objects to be monitored, and different objects to be monitored have different hydrogen doping ratios;

[0135] Conduct a fracture toughness test on the monitored object under hydrogen environment conditions to obtain toughness loss data representing the degree of toughness loss or the fracture toughness value;

[0136] A hydrogen permeation current density test is performed on the monitored object under hydrogen environment conditions to obtain hydrogen permeation density data characterizing the hydrogen permeation current density.

[0137] In a possible implementation, when the first environmental condition includes a hydrogen environmental condition and an inert environmental condition, and the second environmental condition includes a hydrogen environmental condition, the first determination module 701 may also be used to determine an object to be monitored;

[0138] Obtaining fracture toughness and hydrogen permeation density data of the object to be monitored in a hydrogen environment, and fracture toughness of the object to be monitored in an inert environment;

[0139] According to the fracture toughness of the monitored objects with different hydrogen doping ratios in a hydrogen environment and the fracture toughness of the monitored objects with different hydrogen doping ratios in an inert environment, a fracture toughness ratio characterizing toughness loss data is obtained.

[0140] In a possible implementation, the second determination module 702 may also be used to determine a preset division interval of the hydrogen-induced cracking risk level;

[0141] The hydrogen induced cracking risk level of the material to be monitored is determined based on the preset division interval of the hydrogen induced cracking risk level and the fracture toughness ratio that characterizes the toughness loss data.

[0142] In a possible implementation, the processing module 703 may also be used to perform a first transformation process on the hydrogen permeation density data to obtain a first input item of the relationship model;

[0143] Performing a second transformation process on the hydrogen permeation density data to obtain a second input item of the relationship model;

[0144] According to the first input item, the second input item, the hydrogen permeation density data and the hydrogen-induced cracking risk level of the material to be monitored, a relationship model characterizing the hydrogen permeation density of the material to be monitored and the hydrogen-induced cracking risk is constructed.

[0145] In a possible implementation, the monitoring module 705 may also be used to input the hydrogen permeation current density of the monitored object under the target environmental conditions acquired in real time by the acquisition module 704 into the relationship model to obtain a model output result;

[0146] According to the model output results, the risk of hydrogen-induced cracking of the monitored object is monitored in real time.

[0147] The device for monitoring the risk of hydrogen-induced cracking provided in this embodiment can execute the method provided in the above method embodiment, and its implementation principle and technical effect are similar, which will not be described in detail in this embodiment.

[0148] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 8 As shown, the electronic device 80 provided in this embodiment includes: at least one processor 801 and a memory 802. Optionally, the device 80 also includes a communication component 803. The processor 801, the memory 802 and the communication component 803 are connected via a bus 804.

[0149] In a specific implementation process, at least one processor 801 executes the computer-executable instructions stored in the memory 802, so that at least one processor 801 executes the above method.

[0150] The specific implementation process of the processor 801 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0151] In the above embodiments, it should be understood that the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the invention can be directly implemented as a hardware processor, or can be implemented by a combination of hardware and software modules in the processor.

[0152] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0153] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the embodiments of the present application is not limited to only one bus or one type of bus.

[0154] An embodiment of the present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0155] An embodiment of the present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the above method is implemented.

[0156] The above-mentioned 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 (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0157] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0158] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0159] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0160] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0161] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0162] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0163] Finally, it should be noted that those skilled in the art will readily conceive of other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses or adaptations of the present invention, which follow the general principles of the present invention and include common knowledge or customary technical means in the art not disclosed by the present invention, are not limited to the precise structure described above and shown in the drawings, and may be modified and changed in various ways without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for monitoring the risk of hydrogen-induced cracking, characterized in that: The method comprises: Determining toughness loss data of the object to be monitored under a first environmental condition and hydrogen permeation density data under a second environmental condition; Determining the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental conditions; According to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental condition, and the hydrogen permeation density data under the second environmental condition, a relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed; Acquiring real-time monitoring data of the hydrogen permeation current density of the object to be monitored under target environmental conditions; The risk of hydrogen-induced cracking of the object to be monitored is monitored in real time based on the real-time monitoring data of the hydrogen permeation current density of the object to be monitored under target environmental conditions and the relationship model.

2. The method according to claim 1, characterized in that When the first environmental condition and the second environmental condition are both hydrogen environmental conditions, The determining of toughness loss data of the object to be monitored under the first environmental condition and hydrogen permeation density data under the second environmental condition comprises: Determining the objects to be monitored, where there are at least two objects to be monitored, and different objects to be monitored have different hydrogen blending ratios; Performing a fracture toughness test on the object to be monitored under the hydrogen environment conditions to obtain toughness loss data characterizing the degree of toughness loss or the fracture toughness value; A hydrogen permeation current density test is performed on the object to be monitored under the hydrogen environment conditions to obtain hydrogen permeation density data characterizing the hydrogen permeation current density.

3. The method according to claim 1, characterized in that When the first environmental condition includes the hydrogen environmental condition and the inert environmental condition, and the second environmental condition includes the hydrogen environmental condition, The determining of toughness loss data of the object to be monitored under the first environmental condition and hydrogen permeation density data under the second environmental condition comprises: Determining the object to be monitored; Acquiring the fracture toughness and hydrogen permeation density data of the object to be monitored in the hydrogen environment, and the fracture toughness of the object to be monitored in the inert environment; A fracture toughness ratio characterizing the toughness loss data is obtained according to the fracture toughness of the monitored object with different hydrogen doping ratios in the hydrogen environment and the fracture toughness of the monitored object with different hydrogen doping ratios in the inert environment.

4. The method according to claim 3, characterized in that Determining the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental condition includes: Determining a preset division interval of the hydrogen-induced cracking risk level; The hydrogen induced cracking risk level of the material to be monitored is determined according to the preset division interval of the hydrogen induced cracking risk level and the fracture toughness ratio characterizing the toughness loss data.

5. The method according to claim 1, characterized in that The step of constructing a relationship model characterizing the toughness loss data and the hydrogen permeation density data according to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental condition, and the hydrogen permeation density data of the object to be monitored under the second environmental condition comprises: Performing a first transformation process on the hydrogen permeation density data to obtain a first input item of the relationship model; Performing a second transformation process on the hydrogen permeation density data to obtain a second input item of the relationship model; A relationship model characterizing the toughness loss data and the hydrogen permeation density data is constructed based on the first input item, the second input item, the hydrogen permeation density data and the hydrogen-induced cracking risk level of the material to be monitored.

6. The method according to claim 5, characterized in that The relationship model between the toughness loss data and the hydrogen permeation density data satisfies: y=Dx 3 +Cx 2 +Bx+A; Among them, y represents the toughness loss data of the monitored object under the first environmental conditions, x represents the hydrogen permeation density data of the monitored object under the second environmental conditions, D represents the first correlation coefficient, C represents the second correlation coefficient, B represents the first correlation coefficient, and A represents other correlation coefficients.

7. The method according to claim 1, characterized in that The method of monitoring the hydrogen-induced cracking risk of the object to be monitored in real time based on the real-time monitoring data of the hydrogen permeation current density of the object to be monitored under target environmental conditions and the relationship model, comprises: Inputting the hydrogen permeation current density of the object to be monitored under target environmental conditions obtained in real time into the relationship model to obtain a model output result; The hydrogen-induced cracking risk of the object to be monitored is monitored in real time according to the output result of the model.

8. A monitoring device for hydrogen-induced cracking risk, comprising: A first determination module is used to determine toughness loss data of the monitored object under a first environmental condition and hydrogen permeation density data under a second environmental condition; A second determination module is used to determine the hydrogen-induced cracking risk level of the material to be monitored according to the toughness loss data of the object to be monitored under the first environmental conditions; A processing module, for constructing a relationship model characterizing the toughness loss data and the hydrogen permeation density data according to the hydrogen-induced cracking risk level of the material to be monitored, the toughness loss data of the object to be monitored under the first environmental condition, and the hydrogen permeation density data under the second environmental condition; An acquisition module, used for acquiring real-time monitoring data of the hydrogen permeation current density of the object to be monitored under target environmental conditions; The monitoring module is used to monitor the hydrogen-induced cracking risk of the object to be monitored in real time based on the real-time monitoring data of the hydrogen permeation current density of the object to be monitored under the target environmental conditions and the relationship model.

9. An electronic device, comprising: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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