Abnormity determination method and device for reactor pressure vessel material and electronic equipment

Abstract

The invention provides an abnormity determination method and device for a reactor pressure vessel material and electronic equipment, and relates to the technical field of nuclear power station safety management, and the method comprises the steps: obtaining the appearance scanning data of the reactor pressure vessel material, and determining the microscopic feature data according to the appearance scanning data; target working conditions are determined, and under the target working conditions, the brittle transition temperature initial value of the reactor pressure vessel material is determined based on the microscopic characteristic data; predicting the expected variation of the brittle transition temperature of the material according to the initial value of the brittle transition temperature; determining an abnormal result of the brittle transition temperature of the material according to the expected variable quantity; the technical problem that key parts are not monitored in time in the prior art is solved, and safe operation of the reactor pressure vessel is ensured.

Description

Technical Field

[0001] This application relates to the field of nuclear power plant safety management technology, and in particular to a method, apparatus and electronic equipment for determining anomalies in reactor pressure vessel materials. Background Technology

[0002] In the nuclear energy industry, ensuring the safe operation of reactor pressure vessels is of paramount importance. With long-term reactor operation, materials undergo aging and performance degradation, which can lead to changes in the brittle transition temperature and consequently affect the overall safety of the vessel. Currently, the industry commonly employs periodic inspections and experience-based maintenance strategies to monitor the condition of critical components. However, this approach often fails to assess material performance trends in real time, potentially delaying necessary maintenance actions. Summary of the Invention

[0003] This application aims to at least partially address one of the technical problems in the related art.

[0004] Therefore, the first objective of this application is to propose a method for identifying anomalies in reactor pressure vessel materials in order to achieve accurate material performance evaluation.

[0005] The second objective of this application is to provide an anomaly detection device for reactor pressure vessel materials.

[0006] The third objective of this application is to propose an electronic device.

[0007] The fourth objective of this application is to provide a computer-readable storage medium.

[0008] The fifth objective of this application is to provide a computer program product.

[0009] To achieve the above objectives, the first aspect of this application proposes a method for determining anomalies in reactor pressure vessel materials, comprising: Obtain external scanning data of reactor pressure vessel materials, and determine microscopic feature data based on the external scanning data; Determine the target operating conditions, and under the target operating conditions, determine the initial value of the brittle transition temperature of the reactor pressure vessel material based on the microscopic feature data; Predict the expected change in the brittle transition temperature of the material based on the initial value of the brittle transition temperature; The abnormal results were determined based on the expected change in the material's brittle transition temperature.

[0010] To achieve the above objectives, a second aspect of this application provides an anomaly detection device for reactor pressure vessel materials, comprising: The first acquisition module is used to acquire the appearance scan data of the reactor pressure vessel material and determine the microscopic feature data based on the appearance scan data. The second acquisition module is used to determine the target operating conditions, and under the target operating conditions, determine the initial value of the brittle transition temperature of the reactor pressure vessel material based on the microscopic feature data. The third acquisition module is used to predict the expected change in the brittle transition temperature of the material based on the initial value of the brittle transition temperature. An anomaly determination module is used to determine anomalies in the material's brittle transition temperature based on the expected change.

[0011] To achieve the above objectives, a third aspect of this application provides an electronic device, including: a processor, and a memory communicatively connected to the processor; The memory executes computer-executable instructions; The processor executes computer execution instructions stored in the memory to implement the method described in the first aspect embodiment.

[0012] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, are used to implement the method described in the first aspect embodiment.

[0013] To achieve the above objectives, a fifth aspect of this application provides a computer program product including a computer program that, when executed by a processor, implements the method described in the first aspect.

[0014] The method, apparatus, and electronic equipment for determining anomalies in reactor pressure vessel materials provided in this application acquire external scanning data of the reactor pressure vessel materials, analyze the changes in the microstructure of the materials based on the external scanning data, and obtain microscopic characteristic data. This helps to achieve precise monitoring of the performance of reactor pressure vessel materials, determine target operating conditions, obtain the initial value of the brittle transition temperature of the materials based on the parameter values ​​under the target operating conditions, perform simulation prediction based on the initial value, provide a scientific basis for obtaining the amount of change in the brittle transition temperature, determine the expected amount of change in the brittle transition temperature of the materials based on the initial value of the brittle transition temperature of the materials, and determine whether there is an anomaly in the brittle transition temperature of the materials based on the expected amount of change. This helps to achieve precise monitoring of the performance of reactor pressure vessel materials and ensure the safe operation of nuclear facilities.

[0015] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0016] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart illustrating a method for determining anomalies in reactor pressure vessel materials provided in an embodiment of this application; Figure 2 A flowchart illustrating another method for determining anomalies in reactor pressure vessel materials provided in this application embodiment; Figure 3 This is a schematic diagram of a device for determining anomalies in reactor pressure vessel materials provided in an embodiment of this application. Detailed Implementation

[0017] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0018] The following description, with reference to the accompanying drawings, outlines a method, apparatus, and electronic device for determining anomalies in reactor pressure vessel materials according to embodiments of this application.

[0019] Figure 1 This is a flowchart illustrating a method for determining anomalies in reactor pressure vessel materials provided in an embodiment of this application. Figure 1 As shown, the method includes the following steps: S101, acquire the appearance scan data of the reactor pressure vessel material, and determine the microscopic feature data based on the appearance scan data.

[0020] The reactor pressure vessel material is the same as the base material, welding materials, and component materials such as bolts and nuts. The reactor pressure vessel is not considered for replacement during the lifespan of the nuclear power plant. Therefore, the reactor pressure vessel is required to have good mechanical properties at room temperature and high temperature, processing and welding performance, and resistance to neutron radiation embrittlement. At the same time, the performance of the reactor pressure vessel material needs to be evaluated to ensure the overall safety of the vessel.

[0021] Optionally, the appearance scanning data of the reactor pressure vessel material can be obtained based on non-destructive testing technology, such as scanning the reactor pressure vessel material with an ultrasonic testing device and combining it with three-dimensional imaging processing to obtain the appearance scanning data.

[0022] In some embodiments, appearance defects can be identified from the appearance scan data, for example, by quantifying relevant data of appearance defects based on three-dimensional imaging processing, including but not limited to data such as the size, shape, location and density of defects, so as to obtain microscopic defect data of reactor pressure vessel materials, and record and store the microscopic defect data for subsequent analysis and comparison.

[0023] In some embodiments, microscopic defect data can also be analyzed, such as identifying the microstructure of the defect location in the microscopic defect data. In this embodiment, grain size data and second phase particle data in the material can be obtained by scanning electron microscopy analysis. Based on the current identification results and historical data, the change trend of the material microstructure over time can be evaluated, thereby obtaining microscopic feature data.

[0024] S102, Determine the target operating conditions. Under the target operating conditions, determine the initial value of the brittle transition temperature of the reactor pressure vessel material based on microscopic characteristic data.

[0025] In some embodiments, candidate operating conditions can be determined based on different parameter conditions, including at least temperature, pressure and radiation dose; that is, different candidate operating conditions are determined by different parameter values, and different candidate operating conditions correspond to different temperatures, pressures or radiation doses.

[0026] The variation trend of the brittle transition temperature of the material under each candidate operating condition is determined; based on the variation trend, the target operating condition is determined from the candidate operating conditions; in this embodiment, according to different candidate operating conditions, the high temperature and high pressure environment of the primary loop of a nuclear power plant is simulated based on a dedicated test device, the variation trend of the brittle transition temperature of the material is predicted and recorded, the variation trend is compared with the initial value of the brittle transition temperature of the material, and the candidate operating condition with the most obvious change is determined as the target operating condition.

[0027] Optionally, the initial value of the brittle transition temperature of the reactor pressure vessel material under current conditions can be determined experimentally. That is, the initial value of the brittle transition temperature of the reactor pressure vessel material can be determined experimentally based on the current microscopic characteristic data and target operating conditions.

[0028] In some embodiments, the specific test plan may be: The testing equipment includes: temperature control chamber, mechanical testing machine, standard sample preparation tools, measuring tools (such as vernier calipers, microscopes, etc.), and data recording equipment.

[0029] The experimental steps include: Sample preparation: Prepare samples according to existing relevant standards, ensuring that the geometric dimensions of the samples meet the standard requirements.

[0030] Temperature control: Use a temperature control chamber to gradually cool the sample to a predetermined temperature range, which should cover the expected brittle transition temperature range.

[0031] Mechanical property testing: The cooled specimens are placed in a mechanical testing machine for impact or tensile testing to evaluate the mechanical properties of the material at different temperatures; this process is repeated until all preset temperature points are covered.

[0032] Data recording and analysis: Record the fracture behavior of the specimen at each temperature point, analyze the changes in fracture behavior, and determine the range of the brittle transition temperature. Usually, the brittle transition temperature can be determined by the sharp drop in the fracture energy of the specimen.

[0033] Determine the initial value of the brittle transition temperature: Based on the data analysis results, determine the initial value of the brittle transition temperature of the material under the condition that the current microscopic characteristic data exists, and record and save the determined initial value of the brittle transition temperature.

[0034] S103, predicts the expected change in the brittle transition temperature of the material based on the initial value of the brittle transition temperature.

[0035] Optionally, the actual values ​​of different parameters under the current working conditions can be obtained, and the expected change in the brittle transition temperature of the material can be obtained based on the influence of different parameters on the initial value of the brittle transition temperature. For example, the influence factor can be determined based on the values ​​of different parameters, including but not limited to weighted summation or averaging to determine the influence factor, and the sum of the influence factor and the initial value of the brittle transition temperature can be calculated as the expected change.

[0036] S104, anomaly results in determining the brittle transition temperature of a material based on the expected amount of change.

[0037] Optionally, the expected change can be compared with a preset threshold. If the expected change is greater than or equal to the preset threshold, it can be determined that the change in the brittle transition temperature of the material exceeds the safe range, and the change in the brittle transition temperature of the material is judged to be abnormal. Conversely, if the expected change is less than the preset threshold, it can be determined that the change in the brittle transition temperature of the material does not exceed the safe range, and the change in the brittle transition temperature of the material is judged to be normal.

[0038] In this embodiment, non-destructive testing methods are used to obtain external scanning data of the reactor pressure vessel material. Based on the external scanning data, the microstructure changes of the material are analyzed to obtain microscopic feature data. This helps to achieve precise monitoring of the reactor pressure vessel material performance, determine target operating conditions, and obtain the initial value of the brittle transition temperature of the material based on the target operating conditions and microscopic feature data. Based on this initial value, simulation prediction is performed to provide a scientific basis for obtaining the amount of change in brittle transition temperature, ensuring the safe operation of nuclear facilities. Combining the initial value of the brittle transition temperature of the material, the expected amount of change is determined, and the presence of anomalies in the brittle transition temperature of the material is determined based on the expected amount of change. This helps to achieve precise monitoring of the reactor pressure vessel material performance and ensure the safe operation of nuclear facilities.

[0039] Figure 2 This is a flowchart illustrating another method for determining anomalies in reactor pressure vessel materials provided in an embodiment of this application. Figure 2 As shown, the method includes the following steps: S201, acquire the appearance scan data of the reactor pressure vessel material, and determine the microscopic feature data based on the appearance scan data.

[0040] In this application embodiment, the implementation method of step S201 can be implemented in any of the various embodiments of this disclosure, and no limitation is made here, nor will it be described in detail.

[0041] S202, Determine the target operating conditions. Under the target operating conditions, determine the initial value of the brittle transition temperature of the reactor pressure vessel material based on microscopic characteristic data.

[0042] In this application embodiment, the implementation method of step S202 can be implemented in any of the various embodiments of this disclosure, and no limitation is made here, nor will it be described in detail.

[0043] S203, determine the target temperature, target pressure and target radiation dose under the current operating conditions.

[0044] The temperature, pressure, and radiation dose under the current actual working conditions are obtained to obtain the target temperature, target pressure, and target radiation dose.

[0045] S204, the target temperature, target pressure, target radiation dose and initial value of brittle transition temperature are weighted and summed to obtain the expected change.

[0046] Alternatively, the expected change can be calculated as follows:

[0047] in, P is the expected change in the brittle transition temperature of the material (unit: °C), P is the target pressure (unit: MPa), T is the target temperature (unit: °C), and R is the target radiation dose (radiation level, unit: Gy / s). This represents the initial value of the brittle transition temperature of the material (unit: °C). This is the coefficient representing the effect of pressure on the brittle transition temperature. This is the coefficient representing the effect of temperature on the change in brittle transition temperature. This is the coefficient representing the influence of radiation level on the brittle transition temperature.

[0048] In some embodiments, the influence coefficients of pressure on the brittle transition temperature, temperature on the brittle transition temperature, and radiation level on the brittle transition temperature can be obtained by fitting based on experimental conditions.

[0049] S205, an anomaly result in determining the brittle transition temperature of a material based on the expected amount of change.

[0050] In some embodiments, an abnormal change in the brittle transition temperature of the material is determined in response to the expected change being greater than or equal to the change in the safety threshold; the change in the safety threshold refers to the maximum permissible change in the brittle transition temperature. When the expected change is greater than or equal to the change in the safety threshold, the brittle transition temperature is determined to exceed the maximum permissible change in the brittle transition temperature, and the abnormal change in the brittle transition temperature of the material is determined. Correspondingly, a normal change in the brittle transition temperature of the material is determined in response to the expected change being less than the change in the safety threshold.

[0051] Optionally, when an abnormal change in the brittle transition temperature of a material is determined, a control strategy can also be determined; for example, when an abnormal change is determined, an emergency response procedure is initiated and a control strategy is obtained. Based on the initiated emergency response procedure, the reactor's operating parameters are adjusted according to the control strategy to mitigate the increase in the degree of abnormal change in the brittle transition temperature of the material.

[0052] Furthermore, after adjusting the working parameters, the expected change is redefined. That is, after adjusting the working parameters, the non-destructive testing process is restarted to obtain new microscopic feature data. The new microscopic feature data is then analyzed to obtain a new expected change. If the new expected change is still greater than or equal to the safety threshold change, the working parameters are adjusted again, and a new round of adjustment of the expected change is carried out until the expected change is less than the safety threshold change, that is, the expected change is within the safe range.

[0053] In some implementations, the number of consecutive adjustments to the working parameters can also be counted. The number of consecutive adjustments refers to the number of times continuous adjustments are made when the expected change is always greater than or equal to the change in the safety threshold. In response to the number of consecutive adjustments being greater than or equal to the preset number and the expected change being greater than or equal to the change in the safety threshold, an early warning message is issued and maintenance is carried out based on the maintenance plan.

[0054] For example, in this embodiment, the expected number of adjustments is 5. When the number of consecutive adjustments is 5 (equal to the expected number), if the expected change after the 5th adjustment is still greater than or equal to the change in the safety threshold, it indicates that the adjustment measures are insufficient to adjust the expected change in the brittle transition temperature of the material to a safe range. In order to avoid repeated meaningless adjustments, a warning message is issued in a timely manner to notify the staff to formulate a maintenance plan that complies with the nuclear power plant operation procedures and carry out maintenance according to the maintenance plan.

[0055] In some embodiments, after maintenance, non-destructive testing can continue to be performed to obtain microscopic feature data, and the expected change amount can be obtained based on the microscopic feature data until the expected change amount returns to a safe range, ensuring that the reactor pressure vessel is in a safe operating state.

[0056] In this embodiment, the appearance scanning data of the reactor pressure vessel material is obtained through non-destructive testing methods. Based on this data, the microstructure changes are analyzed to obtain microscopic feature data, which helps to accurately monitor the performance of the reactor pressure vessel material. The initial value of the brittle transition temperature (BET) is obtained based on the microscopic feature data, and simulation prediction is performed based on this initial value, providing a scientific basis for obtaining the BET change. The initial BET value is determined based on simulation experiments, and a weighted sum is performed on the actual parameter values ​​under the current operating conditions to determine the expected change. The comparison between the expected change and the safety threshold change determines whether there is an anomaly in the BET. When the expected change exceeds the safety threshold change, the operating parameters are adjusted and the expected change is recalculated to ensure the reactor pressure vessel operates safely for a long period. If multiple adjustments still fail to bring it within the safe range, an early warning is issued and maintenance is initiated. After maintenance, the detection and calculation of the expected change continue, achieving real-time and accurate monitoring of the reactor pressure vessel material performance and ensuring the reactor operates safely.

[0057] To achieve the above embodiments, this application also proposes an anomaly determination device for reactor pressure vessel materials.

[0058] Figure 3 This is a schematic diagram of a device for determining anomalies in reactor pressure vessel materials, provided as an embodiment of this application. Figure 3 As shown, the anomaly detection device 300 for reactor pressure vessel materials includes: The first acquisition module 301 is used to acquire the appearance scan data of the reactor pressure vessel material and determine the microscopic feature data based on the appearance scan data. The second acquisition module 302 is used to determine the target operating conditions and, under the target operating conditions, determine the initial value of the brittle transition temperature of the reactor pressure vessel material based on microscopic feature data. The third acquisition module 303 is used to predict the expected change in the brittle transition temperature of the material based on the initial value of the brittle transition temperature. Anomaly determination module 304 is used to determine the abnormal results of the material's brittle transition temperature based on the expected amount of change.

[0059] Furthermore, in one possible implementation of this application embodiment, the first acquisition module 301 includes: The material of the reactor pressure vessel is scanned using ultrasonic testing equipment to determine the appearance scan data; Defect identification is performed on the external scanning data to determine microscopic defect data; Based on microscopic defect data, the degree of microscopic organizational change is obtained to acquire microscopic feature data.

[0060] Furthermore, in one possible implementation of this application embodiment, the third acquisition module 303 includes: Candidate operating conditions are determined based on different parameter conditions, including at least temperature, pressure, and radiation dose; Determine the trend of the brittle transition temperature of the material under each candidate working condition; Based on the changing trend, the target working condition is determined from the candidate working conditions.

[0061] Furthermore, in one possible implementation of this application embodiment, the third acquisition module 303 includes: Determine the target temperature, target pressure, and target radiation dose under the current operating conditions; The expected change is obtained by weighted summation of the target temperature, target pressure, target radiation dose, and initial values ​​of brittle transition temperature.

[0062] Furthermore, in one possible implementation of this application embodiment, the anomaly determination module 304 includes: When the expected change is greater than or equal to the change in the safety threshold, an abnormal change in the brittle transition temperature of the material is identified. Since the expected change is less than the safe threshold change, the change in the brittle transition temperature of the material is determined to be normal.

[0063] Furthermore, in one possible implementation of this application embodiment, the device 300 further includes: In response to abnormal changes in the brittle-brittle transition temperature of materials, a control strategy was determined. The reactor's operating parameters are adjusted according to the control strategy, and the expected change is redefined after the adjustment until the expected change is less than the change in the safety threshold.

[0064] Furthermore, in one possible implementation of this application embodiment, the device 300 further includes: The number of consecutive adjustments to statistical work parameters; In response to a continuous adjustment number greater than or equal to a preset number, and an expected change greater than or equal to a safety threshold change, an early warning message is issued and maintenance is carried out based on the maintenance plan.

[0065] It should be noted that the foregoing explanation of the method for determining anomalies in reactor pressure vessel materials also applies to the apparatus for determining anomalies in reactor pressure vessel materials in this embodiment, and will not be repeated here.

[0066] In this embodiment, non-destructive testing methods are used to obtain the appearance scanning data of the reactor pressure vessel material. Based on this data, the microstructure changes are analyzed to obtain microscopic feature data, which helps to accurately monitor the performance of the reactor pressure vessel material. The initial value of the brittle transition temperature (BET) is obtained based on the microscopic feature data, and simulation prediction is performed based on this initial value, providing a scientific basis for obtaining the BET change. The initial BET value is determined based on simulation experiments, and a weighted sum is performed using the actual parameter values ​​under current operating conditions to determine the expected change. The comparison between the expected change and the safety threshold change determines whether there is an anomaly in the BET. When the expected change exceeds the safety threshold change, the operating parameters are adjusted and the expected change is recalculated to ensure the reactor pressure vessel operates safely for a long period. If multiple adjustments fail to bring it within the safe range, an early warning is issued and maintenance is initiated. After maintenance, the detection and calculation of the expected change continue, achieving real-time and accurate monitoring of the reactor pressure vessel material performance and ensuring the reactor operates safely.

[0067] To implement the above embodiments, this application also proposes an electronic device, including: a processor and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments. To implement the above embodiments, this application also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.

[0068] To implement the above embodiments, this application also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.

[0069] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this application all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0070] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.

[0071] This application is intended to provide an implementation scheme for users to selectively prevent the use or access to their personal information data. Specifically, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information is de-identified to protect user privacy.

[0072] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0073] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0074] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0075] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0076] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0077] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0078] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0079] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method of anomaly determination of a reactor pressure vessel material, characterized by, The method comprises: acquiring appearance scanning data of a reactor pressure vessel material, and determining micro-feature data according to the appearance scanning data; determining a target working condition, under which an initial value of a brittle transition temperature of the reactor pressure vessel material is determined based on the micro-feature data; predicting an expected change amount of the brittle transition temperature of the material according to the initial value of the brittle transition temperature; determining an abnormal result of the brittle transition temperature of the material according to the expected change amount.

2. The method of claim 1, wherein, The method for determining the micro-feature data comprises: scanning the reactor pressure vessel material based on an ultrasonic detection device to determine the appearance scanning data; performing defect identification on the appearance scanning data to determine micro-defect data; acquiring a micro-structure change degree based on the micro-defect data to obtain the micro-feature data.

3. The method of claim 2, wherein, The determination of the target working condition comprises: determining candidate working conditions based on different parameter conditions, the parameters at least including temperature, pressure and radiation dose; determining a change trend of the brittle transition temperature of the material under each of the candidate working conditions; determining the target working condition from the candidate working conditions according to the change trend.

4. The method of claim 3, wherein, The prediction of the expected change amount of the brittle transition temperature of the material according to the initial value of the brittle transition temperature comprises: determining a target temperature, a target pressure and a target radiation dose under a current working condition; performing weighted summation on the target temperature, the target pressure, the target radiation dose and the initial value of the brittle transition temperature to obtain the expected change amount.

5. The method according to any one of claims 1 to 4, characterized in that, The determination of the abnormal result of the brittle transition temperature of the material according to the expected change amount comprises: determining that the change of the brittle transition temperature of the material is abnormal in response to the expected change amount being greater than or equal to a safe threshold change amount; determining that the change of the brittle transition temperature of the material is normal in response to the expected change amount being less than the safe threshold change amount.

6. The method of claim 5, wherein, The method further comprises: determining a regulation strategy in response to the change of the brittle transition temperature of the material being abnormal; adjusting working parameters of the reactor according to the regulation strategy, and re-determining the expected change amount after the adjustment of the working parameters until the expected change amount is less than the safe threshold change amount.

7. The method of claim 6, wherein, The method further comprises: counting a number of continuous adjustments of the working parameters; issuing a warning information and performing maintenance processing based on a maintenance plan in response to the number of continuous adjustments being greater than or equal to a preset number and the expected change amount being greater than or equal to the safe threshold change amount.

8. An anomaly determination apparatus for a reactor pressure vessel material, characterized by, The method comprises: a first acquisition module configured to acquire appearance scanning data of a reactor pressure vessel material, and determine micro-feature data according to the appearance scanning data; a second acquisition module configured to determine a target working condition, under which an initial value of a brittle transition temperature of the reactor pressure vessel material is determined based on the micro-feature data; a third acquisition module configured to predict an expected change amount of the brittle transition temperature of the material according to the initial value of the brittle transition temperature; an abnormality determination module configured to determine an abnormal result of the brittle transition temperature of the material according to the expected change amount.

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

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

Images