Thermal margin determination method and apparatus for nuclear reactor, computer device and medium

Abstract

A thermal margin determination method and apparatus for a nuclear reactor, a computer device and a medium. The method comprises: determining a first predicted departure from nucleate boiling ratio of a reactor under test (201), the first predicted departure from nucleate boiling ratio referring to a predicted minimum departure from nucleate boiling ratio of said reactor; according to a prediction moment corresponding to the first predicted departure from nucleate boiling ratio, determining reactor parameters of said reactor at the prediction moment (202), the reactor parameters comprising the axial power distribution and the total assembly power of at least one reactor assembly in said reactor, and the total assembly power referring to the sum of the axial power and the radial power of the reactor assembly; and, according to the reactor parameters, determining a thermal margin of said reactor (203).

Description

Method, device, computer equipment and medium for determining thermal margin of nuclear reactor

[0001] Related applications

[0002] This application claims priority to Chinese patent application number 202311614954.7, filed on November 29, 2023, entitled “Method, device, computer equipment and medium for determining thermal margin of a nuclear reactor,” the entire text of which is hereby incorporated by reference. Technical Field

[0003] The present application relates to the field of nuclear engineering, and in particular to a method, device, computer equipment and medium for determining the thermal margin of a nuclear reactor. Background Art

[0004] With the continuous development of nuclear engineering, in order to conduct safety analysis on the operating status of the reactor, the thermal margin analysis of the reactor can be carried out to obtain the corresponding thermal margin of the reactor; then, the safety analysis of the operating status of the reactor can be realized according to the value of the thermal margin.

[0005] Currently, the thermal margin analysis of the reactor can be carried out through the core power distribution of the reactor to obtain the corresponding thermal margin of the reactor; however, the inventors realized that the above method is still difficult to accurately obtain the thermal margin of the reactor, resulting in low accuracy in the safety analysis of the reactor's operating status.

[0006] Summary of the Invention

[0007] According to various embodiments disclosed in the present application, a method, apparatus, computer equipment, and medium for determining thermal margin of a nuclear reactor are provided.

[0008] A method for determining thermal margin of a nuclear reactor, comprising:

[0009] determining a first predicted deviation from nucleate boiling ratio of the reactor to be tested, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum predicted deviation from nucleate boiling ratio of the reactor to be tested;

[0010] determining, based on a predicted time instant corresponding to the first predicted deviation from the nucleate boiling ratio, reactor parameters of the reactor to be tested at the predicted time instant, wherein the reactor parameters include an axial power distribution and a total component power of at least one reactor component in the reactor to be tested, where the total component power refers to the sum of the axial power and the radial power of the reactor component; and

[0011] Determine the thermal margin of the reactor to be tested based on the reactor parameters.

[0012] In one embodiment, determining the thermal margin of the reactor to be inspected based on the reactor parameters includes:

[0013] determining a target deviation from nucleate boiling ratio based on reactor parameters, wherein the target deviation from nucleate boiling ratio refers to an actual minimum deviation from nucleate boiling ratio of the reactor to be tested; and

[0014] The thermal margin of the reactor to be tested is determined based on the target deviation from nucleate boiling ratio.

[0015] In one embodiment, determining the thermal margin of the reactor to be inspected based on the target deviation from nucleate boiling ratio includes:

[0016] The target deviation from nucleate boiling ratio is calculated by difference with the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be tested.

[0017] In one embodiment, determining the target deviation from nucleate boiling ratio based on reactor parameters includes:

[0018] determining a candidate deviation from nucleate boiling ratio corresponding to at least one core channel based on reactor parameters; and

[0019] The candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel is used as the target deviation from nucleate boiling ratio.

[0020] In one embodiment, determining a first predicted deviation from nucleate boiling ratio of a reactor to be inspected includes:

[0021] Determining a target operating condition from candidate operating conditions corresponding to the reactor to be inspected, and determining core parameters of the target operating condition; and

[0022] The deviation from nucleate boiling ratio of the reactor to be inspected is predicted according to the core parameters to obtain a first predicted deviation from nucleate boiling ratio of the reactor to be inspected.

[0023] In one embodiment, determining the reactor parameters of the reactor to be inspected at the predicted time according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio includes:

[0024] According to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, data of the core physics library of the reactor to be detected is screened to obtain the reactor parameters of the reactor to be detected at the predicted time.

[0025] A device for determining thermal margin of a nuclear reactor, comprising:

[0026] a first determining module, configured to determine a first predicted deviation from nucleate boiling ratio of the reactor to be tested, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum predicted deviation from nucleate boiling ratio of the reactor to be tested;

[0027] a second determining module, configured to determine, based on a predicted time instant corresponding to the first predicted deviation from the nucleate boiling ratio, reactor parameters of the reactor to be tested at the predicted time instant, wherein the reactor parameters include an axial power distribution and a total component power of at least one reactor component in the reactor to be tested, where the total component power refers to the sum of the axial power and the radial power of the reactor component; and

[0028] The third determination module is used to determine the thermal margin of the reactor to be tested according to the reactor parameters.

[0029] In one embodiment, the third determining module includes a first determining unit and a second determining unit;

[0030] a first determining unit, configured to determine a target deviation from nucleate boiling ratio according to reactor parameters, wherein the target deviation from nucleate boiling ratio refers to an actual minimum deviation from nucleate boiling ratio of the reactor to be tested; and

[0031] The second determining unit is used to determine the thermal margin of the reactor to be inspected according to the target deviation from the nucleate boiling ratio.

[0032] In one embodiment, the second determining unit is further configured to:

[0033] The target deviation from nucleate boiling ratio is calculated by difference with the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be tested.

[0034] In one embodiment, the first determining unit includes a first determining subunit and a second determining subunit, wherein:

[0035] A first determining subunit is configured to determine a candidate deviation from nucleate boiling ratio corresponding to at least one core channel according to reactor parameters; and

[0036] The second determining subunit is configured to use the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel as the target deviation from nucleate boiling ratio.

[0037] In one embodiment, the first determining module includes a third determining unit and a fourth determining unit;

[0038] a third determining unit, configured to determine a target operating condition from candidate operating conditions corresponding to the reactor to be detected, and determine core parameters of the target operating condition; and

[0039] The fourth determining unit is configured to predict the deviation from nucleate boiling ratio of the reactor to be detected according to the core parameters, and obtain a first predicted deviation from nucleate boiling ratio of the reactor to be detected.

[0040] In one embodiment, the second determining module is further configured to:

[0041] According to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, data of the core physics library of the reactor to be detected is screened to obtain the reactor parameters of the reactor to be detected at the predicted time.

[0042] A computer device includes a memory and one or more processors, wherein the memory stores computer-readable instructions. When the computer-readable instructions are executed by the one or more processors, the one or more processors execute the steps of the method for determining the thermal margin of a nuclear reactor provided in any embodiment of the present application.

[0043] One or more computer storage media storing computer-readable instructions, which, when executed by one or more processors, implement the steps of the method for determining the thermal margin of a nuclear reactor provided in any embodiment of the present application.

[0044] One or more computer program products storing a computer program, when the computer program is executed by one or more processors, implement the steps of the method for determining the thermal margin of a nuclear reactor provided in any embodiment of the present application.

[0045] The details of one or more embodiments of the present application are set forth in the accompanying drawings and the description below. Other features and advantages of the present application will become apparent from the description, drawings, and claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] FIG1 is a diagram illustrating an application environment of a method for determining a thermal margin of a nuclear reactor according to one or more embodiments;

[0048] FIG2 is a flow chart of a method for determining a thermal margin of a nuclear reactor according to one or more embodiments;

[0049] FIG3 is a flow chart of steps for determining the thermal margin of a reactor to be tested according to one or more embodiments;

[0050] FIG4 is a flow chart illustrating steps for determining a target deviation from nucleate boiling ratio according to one or more embodiments;

[0051] 5 is a flow chart illustrating steps for determining a first predicted deviation from nucleate boiling ratio according to one or more embodiments;

[0052] 6 is a flow chart of a method for determining a thermal margin of a nuclear reactor according to one or more embodiments;

[0053] FIG7 is a structural block diagram of a first apparatus for determining thermal margin of a nuclear reactor according to one or more embodiments;

[0054] FIG8 is a structural block diagram of a second apparatus for determining thermal margin of a nuclear reactor according to one or more embodiments;

[0055] FIG9 is a structural block diagram of a third apparatus for determining thermal margin of a nuclear reactor according to one or more embodiments;

[0056] FIG10 is a structural block diagram of a fourth apparatus for determining thermal margin of a nuclear reactor according to one or more embodiments;

[0057] FIG11 is a diagram illustrating the internal structure of a computer device according to one or more embodiments. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0059] Based on the above situation, the method for determining the thermal margin of a nuclear reactor provided in an embodiment of the present application can be applied to the application environment shown in Figure 1. In one embodiment, a computer device is provided, which can be a server, and its internal structure diagram can be shown in Figure 1. The computer device includes a processor, a memory, and a network interface connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a data block. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The data block of the computer device is used to store the acquired data of the method for determining the thermal margin of a nuclear reactor. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining the thermal margin of a nuclear reactor is implemented.

[0060] The present application discloses a method, apparatus, computer equipment and medium for determining a thermal margin. The method determines a first predicted deviation from nucleate boiling ratio of a reactor to be tested, determines reactor parameters of the reactor to be tested at the predicted time according to the predicted time corresponding to the first predicted deviation from nucleate boiling ratio, and determines the thermal margin of the reactor to be tested based on the reactor parameters.

[0061] In an exemplary embodiment, as shown in FIG2 , FIG2 is a flow chart of a method for determining a thermal margin of a nuclear reactor provided in an embodiment of the present application, which provides a method for determining a thermal margin of a nuclear reactor, and is described by taking the method applied to the computer device in FIG1 as an example, including the following steps 201 to 203. Among them:

[0062] Step 201: Determine a first predicted deviation from nucleate boiling ratio of the reactor to be inspected.

[0063] The first predicted deviation from nucleate boiling ratio refers to the minimum deviation from nucleate boiling ratio predicted for the reactor to be tested.

[0064] It should be noted that the computer device can determine the first predicted deviation from nucleate boiling ratio of the reactor to be tested by using a pre-trained deviation from nucleate boiling ratio prediction model.

[0065] Specifically, when it is necessary to determine the first predicted deviation from nucleate boiling ratio of the reactor to be tested, the computer equipment can input the core parameters of the reactor to be tested under each candidate operating condition into the deviation from nucleate boiling ratio prediction model, and obtain the output result of the deviation from nucleate boiling ratio prediction model. The output result is the first predicted deviation from nucleate boiling ratio predicted by the deviation from nucleate boiling ratio prediction model.

[0066] Among them, the training process of the deviation from nucleate boiling ratio prediction model includes: the computer equipment obtains the sample parameters under the sample working conditions, and the staff marks the sample parameters with the first predicted deviation from nucleate boiling ratio, and the computer equipment trains the deviation from nucleate boiling ratio prediction model according to the sample parameters marked with the first predicted deviation from nucleate boiling ratio to obtain the trained deviation from nucleate boiling ratio prediction model.

[0067] It is further explained that when it is necessary to determine the first predicted deviation from nucleate boiling ratio of the reactor to be tested, the computer device can also select the target operating condition when the accident occurs from the candidate operating conditions of the reactor core to be tested. Then, the computer device obtains the core parameters under the target operating condition, determines the critical deviation from nucleate boiling heat flux density and the actual heat flux density; the computer device uses the ratio of the critical deviation from nucleate boiling heat flux density to the actual heat flux density as the first predicted deviation from nucleate boiling ratio.

[0068] Step 202 : Determine the reactor parameters of the reactor to be inspected at the predicted time according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio.

[0069] The reactor parameters include the axial power distribution and the total power of at least one reactor assembly in the reactor to be tested. The total power of the assembly refers to the sum of the axial power and the radial power of the reactor assembly.

[0070] It should be noted that when it is necessary to determine the reactor parameters of the reactor to be detected at the predicted time, the following may be specifically included: the computer device screens the data of the core physical library of the reactor to be detected according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, and obtains the reactor parameters of the reactor to be detected at the predicted time, that is, the axial power distribution and total power of at least one reactor component in the reactor to be detected.

[0071] It is further explained that when it is necessary to perform data screening on the core physics library of the reactor to be inspected, the computer equipment can obtain the reactor parameters of the reactor to be inspected at the predicted time through keyword screening, numerical screening, category screening, etc. The method of performing data screening on the core physics library of the reactor to be inspected is not limited here.

[0072] In one embodiment of the present application, in order to further improve the accuracy of the thermal margin, the reactor parameters may also include the radial power distribution of at least one reactor component in the reactor to be tested, so that the influence of the radial power distribution of each reactor component on the thermal margin is considered in the subsequent process of determining the thermal margin based on the reactor parameters. Accordingly, when it is necessary to determine the reactor parameters of the reactor to be tested at the predicted time, it may specifically include the following contents: the computer device performs data screening on the core physical library of the reactor to be tested according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, and obtains the reactor parameters of the reactor to be tested at the predicted time, namely the axial power distribution, radial power distribution and total power of the component of at least one reactor component in the reactor to be tested.

[0073] Step 203: Determine the thermal margin of the reactor to be inspected based on the reactor parameters.

[0074] Among them, the thermal margin refers to the margin with which the reactor to be tested can maintain operation, and is used to indicate the safety performance of the reactor to be tested. Furthermore, the lower the thermal margin, the worse the safety performance and thermal performance of the reactor to be tested, and the higher the thermal margin, the better the safety performance and thermal performance of the reactor to be tested.

[0075] It should be noted that since the first predicted deviation from nucleate boiling ratio refers to the minimum deviation from nucleate boiling ratio predicted for the reactor to be tested, the computer device cannot accurately determine the thermal margin of the reactor to be tested based on the first predicted deviation from nucleate boiling ratio; therefore, the computer device can determine the target deviation from nucleate boiling ratio of the reactor to be tested based on the reactor parameters corresponding to the first predicted deviation from nucleate boiling ratio, wherein the target deviation from nucleate boiling ratio refers to the actual minimum deviation from nucleate boiling ratio of the reactor to be tested; therefore, when it is necessary to determine the thermal margin of the reactor to be tested, it may specifically include the following contents: the computer device determines the target deviation from nucleate boiling ratio based on the reactor parameters, and then determines the thermal margin of the reactor to be tested based on the target deviation from nucleate boiling ratio.

[0076] In one embodiment of the present application, the computer device can determine the candidate deviation from nucleate boiling ratio corresponding to at least one core channel based on the reactor parameters (i.e., the axial power distribution and total power of at least one reactor component in the reactor to be tested), and use the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel as the target deviation from nucleate boiling ratio. Furthermore, the computer device performs a difference operation on the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be tested.

[0077] In which, the computer device can input the reactor parameters into a pre-trained first analysis model to obtain the output result of the first analysis model, which is the candidate deviation from nucleate boiling ratio corresponding to at least one core channel; further, the first analysis model can be trained based on the sample reactor parameters and the sample deviation from nucleate boiling ratio corresponding to the sample reactor parameters.

[0078] It is further explained that in order to further improve the accuracy of determining the target deviation from the nucleate boiling ratio, the influence of the core parameters on the determination of the target deviation from the nucleate boiling ratio can be considered in the process of determining the target deviation from the nucleate boiling ratio. Therefore, when it is necessary to determine the thermal margin of the reactor to be tested, the following contents can be specifically included: the computer equipment determines the target deviation from the nucleate boiling ratio based on the reactor parameters and the core parameters, and then determines the thermal margin of the reactor to be tested based on the target deviation from the nucleate boiling ratio.

[0079] In one embodiment of the present application, the computer device can determine the candidate deviation from nucleate boiling ratio corresponding to at least one core channel based on the reactor parameters (i.e., the axial power distribution and total power of at least one reactor component in the reactor to be tested) and the core parameters (for example, core inlet temperature, pressure, flow rate, power, etc.), and use the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel as the target deviation from nucleate boiling ratio. Furthermore, the computer device performs a difference operation on the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be tested.

[0080] In which, the computer device can input the reactor parameters and core parameters into a pre-trained second analysis model to obtain the output result of the second analysis model, which is the candidate deviation from nucleate boiling ratio corresponding to at least one core channel; further, the second analysis model can be trained based on the sample reactor parameters, the sample core parameters and the sample deviation from nucleate boiling ratio corresponding to the sample reactor parameters.

[0081] The above-mentioned method for determining the thermal margin of a nuclear reactor determines the reactor parameters of the reactor to be tested at the predicted time by first predicting the time when the predicted deviation from the nucleate boiling ratio occurs, and further determines the thermal margin of the reactor to be tested based on the reactor parameters. Since the reactor parameters in the above-mentioned process include the axial power distribution and the total component power of at least one reactor component in the reactor to be tested, and the total component power refers to the sum of the axial power and radial power of the reactor component, when determining the thermal margin, the present application considers the influence of the axial power and radial power of each component on the determination of the thermal margin, compared to the current process of determining the thermal margin based solely on the core power distribution. Therefore, the present application considers the factors affecting the thermal margin more comprehensively, has a finer calculation granularity, improves the accuracy of the thermal margin, and enables the thermal margin to more accurately reflect the actual situation of the reactor to be tested.

[0082] To ensure the safety performance of the reactor, the thermal margin of the reactor is currently calculated based on the core power distribution, which has the problem of low accuracy. To solve the above technical problems, the computer device of the present application can determine the thermal margin of the reactor to be tested in the manner shown in Figure 3, including the following steps 301 and 302. Among them:

[0083] Step 301: Determine a target deviation from nucleate boiling ratio based on reactor parameters.

[0084] The target deviation from nucleate boiling ratio refers to the actual minimum deviation from nucleate boiling ratio of the reactor to be tested.

[0085] In one embodiment of the present application, if the reactor parameters are the axial power distribution and the total power of at least one reactor component in the reactor to be tested, when it is necessary to determine the target deviation from the nucleate boiling ratio, it may specifically include the following contents: the computer device inputs the axial power distribution and the total power of at least one reactor component in the reactor to be tested into the reactor calculation model X, and obtains the output result of the reactor calculation model X, which is the target deviation from the nucleate boiling ratio.

[0086] To further illustrate, the training process of the reactor calculation model X may include the following: a computer device sets the axial power distribution of a sample reactor assembly, the total power of the sample assembly, and the sample target deviation from nucleate boiling ratio; the axial power distribution of the sample reactor assembly, the total power of the sample assembly, and the sample target deviation from nucleate boiling ratio are input into the reactor calculation model X; and the reactor calculation model X is trained to obtain a trained reactor calculation model X.

[0087] In another embodiment of the present application, if the reactor parameters are the axial power distribution, radial power distribution and total power of at least one reactor component in the reactor to be tested, when it is necessary to determine the target deviation from the nucleate boiling ratio, it may specifically include the following contents: the computer device inputs the radial power distribution and total power of at least one reactor component in the reactor to be tested into the reactor calculation model Y, and obtains the output result of the reactor calculation model Y, which is the target deviation from the nucleate boiling ratio.

[0088] To further illustrate, the training process of the reactor calculation model Y may include the following: a computer device sets the axial power distribution of the sample reactor assembly, the radial power distribution of the sample reactor assembly, the total power of the sample assembly, and the sample target deviation from nucleate boiling ratio; the axial power distribution of the sample reactor assembly, the radial power distribution of the sample reactor assembly, the total power of the sample assembly, and the sample target deviation from nucleate boiling ratio are input into the reactor calculation model Y; and the reactor calculation model Y is trained to obtain the trained reactor calculation model Y.

[0089] Step 302 : Determine the thermal margin of the reactor to be inspected based on the target deviation from nucleate boiling ratio.

[0090] It should be noted that when it is necessary to determine the thermal margin of the reactor to be tested, the following may be specifically included: the computer equipment performs a difference operation on the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be tested.

[0091] The preset deviation from nucleate boiling ratio is a deviation from nucleate boiling ratio determined based on the historical working experience of the staff and the actual situation of the reactor.

[0092] In one embodiment of the present application, if the target deviation from nucleate boiling ratio is A and the preset deviation from nucleate boiling ratio is B, the computer device performs a difference operation on the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio, and the result is: AB, which is the thermal margin of the reactor to be tested.

[0093] The above-mentioned method for determining the thermal margin of a nuclear reactor considers the influence of the axial power and radial power included in the reactor parameters on the determination of the thermal margin, considers the factors affecting the thermal margin more comprehensively, and has a finer calculation granularity, thereby improving the accuracy of the thermal margin and enabling the thermal margin to more accurately reflect the actual situation of the reactor to be tested.

[0094] In an exemplary embodiment, when it is necessary to determine the target deviation from the nucleate boiling ratio based on reactor parameters, the method shown in FIG4 may include the following steps 401 and 402. In which:

[0095] Step 401: Determine a candidate deviation from nucleate boiling ratio corresponding to at least one core channel according to reactor parameters.

[0096] The candidate deviation from nucleate boiling ratios refer to the deviation from nucleate boiling ratios corresponding to different core channels.

[0097] It should be noted that since the reactor to be tested is composed of multiple components, in order to ensure that the target deviation from nucleate boiling ratio obtained can more accurately reflect the actual situation of the reactor to be tested, the computer equipment needs to divide the multiple components contained in the reactor to be tested into at least one core channel, and then determine the candidate deviation from nucleate boiling ratio corresponding to each core channel.

[0098] In one embodiment of the present application, when it is necessary to determine the candidate deviation from nucleate boiling ratio corresponding to at least one core channel, the following may be specifically included: the computer device inputs the reactor parameters into the core channel model, divides and calculates the reactor to be tested through the core channel model, and obtains the output result of the core channel model, which is the candidate deviation from nucleate boiling ratio corresponding to at least one core channel.

[0099] It is further explained that the training process of the core channel model may include the following: a computer device sets sample reactor parameters and sample candidate deviation from nucleate boiling ratios, inputs the sample reactor parameters and sample candidate deviation from nucleate boiling ratios into the core channel model, and trains the core channel model to obtain a trained core channel model.

[0100] Step 402 : The candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel is used as the target deviation from nucleate boiling ratio.

[0101] It should be noted that when determining the target departure from nucleate boiling ratio, the computer device needs to sort the candidate departure from nucleate boiling ratios corresponding to each core channel from smallest to largest. The candidate departure from nucleate boiling ratio ranked first after sorting is the smallest value among the candidate departure from nucleate boiling ratios corresponding to each core channel, and this candidate departure from nucleate boiling ratio is used as the target departure from nucleate boiling ratio.

[0102] For example, if the value of the first candidate departure from nucleate boiling ratio is a, the value of the second candidate departure from nucleate boiling ratio is b, and the value of the third candidate departure from nucleate boiling ratio is c, where b < a < c. Since the value of the second candidate departure from nucleate boiling ratio is the smallest, the second candidate departure from nucleate boiling ratio is used as the target departure from nucleate boiling ratio.

[0103] The above method for determining the thermal margin of a nuclear reactor obtains at least one candidate departure from nucleate boiling ratio corresponding to each core channel through reactor parameters, and selects the candidate heat flux density with the smallest value as the target departure from nucleate boiling ratio, providing a calculation basis for subsequent determination of the thermal margin of the reactor to be detected.

[0104] In an exemplary embodiment, when it is necessary to determine the first predicted departure from nucleate boiling ratio of the reactor to be detected, the method shown in Figure 5 can be adopted, including the following steps 501 and step 502. Where:

[0105] Step 501, determine the target operating condition from the candidate operating conditions corresponding to the reactor to be detected, and determine the core parameters of the target operating condition.

[0106] Among them, the candidate operating conditions refer to any operating conditions that may occur during the operation of the reactor to be detected; the target operating condition refers to the operating condition of the reactor to be detected in the event of an accident during operation, for example, operating conditions of the DBC1-2 (Design Basis Condition 1-2) type, DBC3-4 (Design Basis Condition 3-4) type, etc.; the core parameters refer to the core thermal-hydraulic state parameters (such as core inlet temperature, pressure, flow rate, power, etc.) and accident initiation events (such as a rod drop accident) of the reactor to be detected at the moment of accident initiation under the target operating condition.

[0107] It should be noted that when it is necessary to determine the target operating condition from the candidate operating conditions corresponding to the reactor to be detected, the computer device can screen the candidate operating conditions corresponding to the reactor to be detected, and select the operating condition of the reactor to be detected in the event of an accident during operation from the candidate operating conditions, which is the target operating condition corresponding to the reactor to be detected.

[0108] In one embodiment of the present application, when it is necessary to determine the target operating condition from the candidate operating conditions corresponding to the reactor to be inspected, and to determine the core parameters of the target operating condition, the computer device can screen the candidate operating conditions through the operating condition screening model to obtain the target operating condition. Furthermore, the computer device detects and analyzes the reactor to be inspected through the detection equipment pre-set in the core to be inspected to obtain the core parameters, wherein the detection equipment may include temperature detection equipment, pressure detection equipment, flow detection equipment, etc.

[0109] To further illustrate, the training process of the working condition screening model may include the following: the computer device sets sample candidate working conditions and sample target working conditions, inputs the sample candidate working conditions and sample target working conditions into the working condition screening model, and trains the working condition screening model to obtain a trained working condition screening model.

[0110] Step 502 : predicting the deviation from nucleate boiling ratio of the reactor to be tested based on the core parameters to obtain a first predicted deviation from nucleate boiling ratio of the reactor to be tested.

[0111] In one embodiment of the present application, when it is necessary to predict the deviation from nucleate boiling ratio of the reactor to be tested based on the core parameters, so as to obtain a first predicted deviation from nucleate boiling ratio of the reactor to be tested, the computer equipment can input the core parameters into the core calculation model, perform predictive calculations on the reactor to be tested through the core calculation model, and obtain the result of the core calculation model, which is the first predicted deviation from nucleate boiling ratio of the reactor to be tested.

[0112] To further illustrate, the training process of the core calculation model may include the following: a computer device sets sample core parameters and a sample first predicted deviation from nucleate boiling ratio, inputs the sample core parameters and the sample first predicted deviation from nucleate boiling ratio into the core calculation model, and trains the core calculation model to obtain a trained core calculation model.

[0113] The above-mentioned method for determining the thermal margin of a nuclear reactor predicts the deviation from nucleate boiling ratio of the reactor to be tested by using the core parameters of the target operating conditions, thereby obtaining a first predicted deviation from nucleate boiling ratio of the reactor to be tested, thereby providing a basis for subsequently determining the thermal margin of the reactor to be tested.

[0114] In one embodiment of the present application, when it is necessary to determine the reactor parameters of the reactor to be detected at the predicted time, the computer equipment can screen the data of the core physics library of the reactor to be detected according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio to obtain the reactor parameters of the reactor to be detected at the predicted time.

[0115] Among them, the core physics library is used to store the physical characteristics of the reactor to be tested, such as component power distribution (including component axial power distribution and component radial power distribution), component total power (the sum of the component's axial power and radial power), etc.

[0116] The above-mentioned method for determining the thermal margin of a nuclear reactor obtains the reactor parameters of the reactor to be detected at the predicted time from the core physics library of the reactor to be detected, thereby providing a basis for subsequently determining the thermal margin of the reactor to be detected.

[0117] In an exemplary embodiment, when each data block to be stored needs to be stored, the following process may be specifically included, as shown in FIG6 :

[0118] Step 601 : determining a target operating condition from candidate operating conditions corresponding to the reactor to be inspected, and determining core parameters of the target operating condition.

[0119] Step 602 : predicting the deviation from nucleate boiling ratio of the reactor to be tested based on the core parameters to obtain a first predicted deviation from nucleate boiling ratio of the reactor to be tested.

[0120] Step 603 : Determine the reactor parameters of the reactor to be tested at the predicted time according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio.

[0121] Step 604: Determine a candidate deviation from nucleate boiling ratio corresponding to at least one core channel according to the reactor parameters.

[0122] Step 605 : The candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel is used as the target deviation from nucleate boiling ratio.

[0123] Step 606 , performing a difference operation between the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be tested.

[0124] The above-mentioned method for determining the thermal margin of a nuclear reactor determines the reactor parameters of the reactor to be tested at the predicted time by first predicting the time when the predicted deviation from the nucleate boiling ratio occurs, and further determines the thermal margin of the reactor to be tested based on the reactor parameters. Since the reactor parameters in the above-mentioned process include the axial power distribution and the total component power of at least one reactor component in the reactor to be tested, and the total component power refers to the sum of the axial power and radial power of the reactor component, when determining the thermal margin, the present application considers the influence of the axial power and radial power of each component on the determination of the thermal margin, compared to the current process of determining the thermal margin based solely on the core power distribution. Therefore, the present application considers the factors affecting the thermal margin more comprehensively, has a finer calculation granularity, improves the accuracy of the thermal margin, and enables the thermal margin to more accurately reflect the actual situation of the reactor to be tested.

[0125] It should be understood that although the steps in the flowcharts of Figures 2, 3, 4, 5, and 6 are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in Figures 2, 3, 4, 5, and 6 may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times. The order of execution of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0126] Based on the same inventive concept, embodiments of the present application also provide a device for determining thermal margin for a nuclear reactor, for implementing the aforementioned method for determining thermal margin for a nuclear reactor. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for determining thermal margin for a nuclear reactor provided below can be found in the aforementioned method for determining thermal margin for a nuclear reactor, and will not be further elaborated here.

[0127] In one embodiment, as shown in FIG7 , a device for determining thermal margin of a nuclear reactor is provided, comprising: a first determining module 10 , a second determining module 20 , and a third determining module 30 , wherein:

[0128] The first determination module 10 is configured to determine a first predicted deviation from nucleate boiling ratio of the reactor to be inspected.

[0129] The second determination module 20 is used to determine the reactor parameters of the reactor to be tested at the predicted time according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, wherein the reactor parameters include the axial power distribution and the total power of the component of at least one reactor component in the reactor to be tested, and the total power of the component refers to the sum of the axial power and the radial power of the reactor component.

[0130] The second determining module 20 is specifically configured to screen data of the core physics library of the reactor to be detected according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, and obtain reactor parameters of the reactor to be detected at the predicted time.

[0131] The third determination module 30 is used to determine the thermal margin of the reactor to be inspected according to the reactor parameters.

[0132] The above-mentioned thermal margin determination device for a nuclear reactor determines the reactor parameters of the reactor to be tested at the predicted time by first predicting the time when the predicted deviation from the nucleate boiling ratio occurs, and further determines the thermal margin of the reactor to be tested based on the reactor parameters. Since the reactor parameters in the above-mentioned process include the axial power distribution and the total component power of at least one reactor component in the reactor to be tested, and the total component power refers to the sum of the axial power and radial power of the reactor component, when determining the thermal margin, the present application considers the influence of the axial power and radial power of each component on the determination of the thermal margin, compared to the current process of determining the thermal margin based solely on the core power distribution. Therefore, the present application considers the factors affecting the thermal margin more comprehensively, has a finer calculation granularity, improves the accuracy of the thermal margin, and enables the thermal margin to more accurately reflect the actual situation of the reactor to be tested.

[0133] In one embodiment, as shown in FIG8 , a device for determining a thermal margin of a nuclear reactor is provided. In the device for determining a thermal margin of a nuclear reactor, a third determining module 30 includes a first determining unit 31 and a second determining unit 32 , wherein:

[0134] The first determining unit 31 is configured to determine a target deviation from nucleate boiling ratio according to reactor parameters, wherein the target deviation from nucleate boiling ratio refers to an actual minimum deviation from nucleate boiling ratio of the reactor to be tested.

[0135] The second determining unit 32 is configured to determine the thermal margin of the reactor to be inspected according to the target deviation from the nucleate boiling ratio.

[0136] The second determining unit 32 is specifically configured to perform a difference operation between the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be inspected.

[0137] In one embodiment, as shown in FIG9 , a device for determining a thermal margin of a nuclear reactor is provided. In the device for determining a thermal margin of a nuclear reactor, a first determining unit 31 includes a first determining subunit 311 and a second determining subunit 312 , wherein:

[0138] The first determining subunit 311 is configured to determine a candidate deviation from nucleate boiling ratio corresponding to at least one core channel according to reactor parameters.

[0139] The second determining subunit 312 is configured to use the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel as the target deviation from nucleate boiling ratio.

[0140] In one embodiment, as shown in FIG10 , a device for determining a thermal margin of a nuclear reactor is provided. In the device for determining a thermal margin of a nuclear reactor, a first determining module 10 includes a third determining unit 11 and a fourth determining unit 12 , wherein:

[0141] The third determining unit 11 is configured to determine a target operating condition from candidate operating conditions corresponding to the reactor to be detected, and determine core parameters of the target operating condition.

[0142] The fourth determining unit 12 is configured to predict the deviation from nucleate boiling ratio of the reactor to be detected according to the core parameters, and obtain a first predicted deviation from nucleate boiling ratio of the reactor to be detected.

[0143] Each module in the aforementioned apparatus for determining the thermal margin of a nuclear reactor may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0144] In one embodiment, a computer device is provided, which may be a terminal. Its internal structure diagram may be as shown in FIG11 . The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to communicate with external terminals via wired or wireless communication, where the wireless communication may be achieved via Wi-Fi, a mobile cellular network, NFC (near-field communication), or other technologies. When executed by the processor, the computer program implements a method for determining the thermal margin of a nuclear reactor. The display unit of the computer device is configured to produce a visually visible image and may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0145] Those skilled in the art will understand that the structure shown in FIG11 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0146] In one embodiment, a computer device is provided, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the following steps when executing the computer program: determining a first predicted deviation from nucleate boiling ratio of a reactor to be tested, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum deviation from nucleate boiling ratio predicted for the reactor to be tested; determining reactor parameters of the reactor to be tested at the predicted moment according to the predicted moment corresponding to the first predicted deviation from nucleate boiling ratio, wherein the reactor parameters include the axial power distribution and the total component power of at least one reactor component in the reactor to be tested, wherein the total component power refers to the sum of the axial power and the radial power of the reactor component; and determining the thermal margin of the reactor to be tested according to the reactor parameters.

[0147] In one embodiment, when the processor executes the computer program, the processor further implements the following steps: determining a target deviation from nucleate boiling ratio based on reactor parameters, wherein the target deviation from nucleate boiling ratio refers to the actual minimum deviation from nucleate boiling ratio of the reactor to be tested; and determining the thermal margin of the reactor to be tested based on the target deviation from nucleate boiling ratio.

[0148] In one embodiment, when the processor executes the computer program, the processor further implements the following steps: performing a difference operation between the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be inspected.

[0149] In one embodiment, when the processor executes the computer program, the processor further implements the following steps: determining, based on reactor parameters, a candidate deviation from nucleate boiling ratio corresponding to at least one core channel; and using the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel as the target deviation from nucleate boiling ratio.

[0150] In one embodiment, when the processor executes the computer program, it also implements the following steps: determining a target operating condition from candidate operating conditions corresponding to the reactor to be tested, and determining the core parameters of the target operating condition; predicting the deviation from nucleate boiling ratio of the reactor to be tested based on the core parameters to obtain a first predicted deviation from nucleate boiling ratio of the reactor to be tested.

[0151] In one embodiment, when the processor executes the computer program, the following steps are further implemented: according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, data of the core physics library of the reactor to be detected is screened to obtain the reactor parameters of the reactor to be detected at the predicted time.

[0152] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: determining a first predicted deviation from nucleate boiling ratio of a reactor to be tested, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum deviation from nucleate boiling ratio predicted for the reactor to be tested; determining reactor parameters of the reactor to be tested at the predicted moment according to the predicted moment corresponding to the first predicted deviation from nucleate boiling ratio, wherein the reactor parameters include the axial power distribution and the total component power of at least one reactor component in the reactor to be tested, wherein the total component power refers to the sum of the axial power and the radial power of the reactor component; and determining the thermal margin of the reactor to be tested according to the reactor parameters.

[0153] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining a target deviation from nucleate boiling ratio based on reactor parameters, wherein the target deviation from nucleate boiling ratio refers to the actual minimum deviation from nucleate boiling ratio of the reactor to be tested; and determining the thermal margin of the reactor to be tested based on the target deviation from nucleate boiling ratio.

[0154] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: performing a difference operation between the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be inspected.

[0155] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining a candidate deviation from nucleate boiling ratio corresponding to at least one core channel based on reactor parameters; and using the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel as the target deviation from nucleate boiling ratio.

[0156] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining a target operating condition from candidate operating conditions corresponding to the reactor to be tested, and determining the core parameters of the target operating condition; predicting the deviation from nucleate boiling ratio of the reactor to be tested based on the core parameters to obtain a first predicted deviation from nucleate boiling ratio of the reactor to be tested.

[0157] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, data is screened in the core physics library of the reactor to be tested to obtain the reactor parameters of the reactor to be tested at the predicted time.

[0158] In one embodiment, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the following steps: determining a first predicted deviation from nucleate boiling ratio of a reactor to be tested, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum deviation from nucleate boiling ratio predicted for the reactor to be tested; determining reactor parameters of the reactor to be tested at the predicted moment based on the predicted moment corresponding to the first predicted deviation from nucleate boiling ratio, wherein the reactor parameters include an axial power distribution and a total component power of at least one reactor component in the reactor to be tested, wherein the total component power refers to the sum of the axial power and the radial power of the reactor component; and determining a thermal margin of the reactor to be tested based on the reactor parameters.

[0159] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: determining a target deviation from nucleate boiling ratio based on reactor parameters, wherein the target deviation from nucleate boiling ratio refers to the actual minimum deviation from nucleate boiling ratio of the reactor to be tested; and determining the thermal margin of the reactor to be tested based on the target deviation from nucleate boiling ratio.

[0160] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: performing a difference operation between the target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio to obtain the thermal margin of the reactor to be inspected.

[0161] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented: determining a candidate deviation from nucleate boiling ratio corresponding to at least one core channel based on reactor parameters; and using the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each core channel as the target deviation from nucleate boiling ratio.

[0162] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: determining a target operating condition from candidate operating conditions corresponding to the reactor to be tested, and determining the core parameters of the target operating condition; predicting the deviation from nucleate boiling ratio of the reactor to be tested based on the core parameters to obtain a first predicted deviation from nucleate boiling ratio of the reactor to be tested.

[0163] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented: according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, data is screened in the core physics library of the reactor to be tested to obtain the reactor parameters of the reactor to be tested at the predicted time.

[0164] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0165] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, data blocks or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The data blocks involved in the various embodiments provided herein may include at least one of relational data blocks and non-relational data blocks. Non-relational data blocks may include, but are not limited to, distributed data blocks based on blockchain. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic units (PLCs), data processing logic units based on quantum computing, and the like.

[0166] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0167] The above embodiments merely illustrate several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for determining thermal margin of a nuclear reactor, characterized in that: The method comprises: Determining a first predicted deviation from nucleate boiling ratio of the reactor to be tested, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum deviation from nucleate boiling ratio predicted for the reactor to be tested; Determining the reactor parameters of the reactor to be detected at the predicted time according to the predicted time corresponding to the first predicted deviation from nucleate boiling ratio, wherein the reactor parameters include the axial power distribution and the total power of the component of at least one reactor component in the reactor to be detected, and the total power of the component refers to the sum of the axial power and the radial power of the reactor component; and The thermal margin of the reactor to be inspected is determined according to the reactor parameters.

2. The method according to claim 1, characterized in that Determining the thermal margin of the reactor to be tested according to the reactor parameters includes: Determining a target deviation from nucleate boiling ratio according to the reactor parameters, wherein the target deviation from nucleate boiling ratio refers to an actual minimum deviation from nucleate boiling ratio of the reactor to be tested; and The thermal margin of the reactor to be inspected is determined according to the target deviation from nucleate boiling ratio.

3. The method according to claim 2, characterized in that The step of determining the thermal margin of the reactor to be tested according to the target deviation from the nucleate boiling ratio comprises: The target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio are subjected to difference calculation to obtain the thermal margin of the reactor to be tested.

4. The method according to claim 2, characterized in that: Determining the target deviation from nucleate boiling ratio according to the reactor parameters includes: Determining a candidate deviation from nucleate boiling ratio corresponding to at least one core channel according to the reactor parameters; and The candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each of the core channels is used as the target deviation from nucleate boiling ratio.

5. The method according to claim 1, characterized in that The step of determining a first predicted deviation from nucleate boiling ratio of the reactor to be tested comprises: Determining a target operating condition from candidate operating conditions corresponding to the reactor to be detected, and determining core parameters of the target operating condition; and The deviation from nucleate boiling ratio of the reactor to be tested is predicted according to the core parameters to obtain the first predicted deviation from nucleate boiling ratio of the reactor to be tested.

6. The method according to claim 1, characterized in that The step of determining the reactor parameters of the reactor to be tested at the predicted time according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio comprises: According to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, data screening is performed on the core physics library of the reactor to be detected to obtain reactor parameters of the reactor to be detected at the predicted time.

7. A device for determining thermal margin of a nuclear reactor, characterized in that: The device comprises: A first determination module is used to determine a first predicted deviation from nucleate boiling ratio of the reactor to be detected, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum deviation from nucleate boiling ratio predicted by the reactor to be detected; a second determination module, configured to determine the reactor parameters of the reactor to be detected at the predicted time according to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, wherein the reactor parameters include the axial power distribution and the total power of the component of at least one reactor component in the reactor to be detected, and the total power of the component refers to the sum of the axial power and the radial power of the reactor component; and The third determination module is used to determine the thermal margin of the reactor to be detected according to the reactor parameters.

8. The device according to claim 7, characterized in that The third determination module includes a first determination unit and a second determination unit; The first determination unit is used to determine a target deviation from nucleate boiling ratio according to the reactor parameters, wherein the target deviation from nucleate boiling ratio refers to an actual minimum deviation from nucleate boiling ratio of the reactor to be detected; and The second determination unit is used to determine the thermal margin of the reactor to be tested according to the target deviation from nucleate boiling ratio.

9. The device according to claim 8, characterized in that The second determining unit is further configured to: The target deviation from nucleate boiling ratio and the preset deviation from nucleate boiling ratio are subjected to difference calculation to obtain the thermal margin of the reactor to be tested.

10. The device according to claim 8, characterized in that The first determining unit includes a first determining subunit and a second determining subunit, wherein: The first determination subunit is used to determine a candidate deviation from nucleate boiling ratio corresponding to at least one core channel according to the reactor parameter; and The second determination subunit is used to use the candidate deviation from nucleate boiling ratio with the smallest value among the candidate deviation from nucleate boiling ratios corresponding to each of the core channels as the target deviation from nucleate boiling ratio.

11. The device according to claim 7, characterized in that The first determining module includes a third determining unit and a fourth determining unit; The third determination unit is used to determine a target operating condition from candidate operating conditions corresponding to the reactor to be detected, and determine core parameters of the target operating condition; and The fourth determination unit is used to predict the deviation from nucleate boiling ratio of the reactor to be detected according to the core parameters to obtain the first predicted deviation from nucleate boiling ratio of the reactor to be detected.

12. The device according to claim 7, characterized in that The second determining module is further used for: According to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, data screening is performed on the core physics library of the reactor to be detected to obtain reactor parameters of the reactor to be detected at the predicted time.

13. A computer device comprising a memory and one or more processors, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the one or more processors perform the following steps: A first predicted deviation from nucleate boiling ratio of the reactor to be tested is determined, wherein: The first predicted deviation from nucleate boiling ratio refers to the minimum deviation from nucleate boiling ratio predicted by the reactor to be tested; According to the predicted time corresponding to the first predicted deviation from the nucleate boiling ratio, the reactor parameters of the reactor to be detected at the predicted time are determined, wherein the reactor parameters include the parameters of at least one reactor component in the reactor to be detected. Axial power distribution and total assembly power, where the total assembly power is the sum of the axial power and the radial power of the reactor assembly; and The thermal margin of the reactor to be inspected is determined according to the reactor parameters.

14. One or more computer storage media storing computer readable instructions, wherein when the computer readable instructions are executed by one or more processors, the one or more processors perform the following steps: When the processors execute the computer readable instructions, the one or more processors also perform the following steps: A first predicted deviation from nucleate boiling ratio of the reactor to be tested is determined, wherein: The first predicted deviation from nucleate boiling ratio refers to the minimum deviation from nucleate boiling ratio predicted by the reactor to be tested; Determining the reactor parameters of the reactor to be detected at the predicted time according to the predicted time corresponding to the first predicted deviation from nucleate boiling ratio, wherein the reactor parameters include the axial power distribution and the total power of the component of at least one reactor component in the reactor to be detected, and the total power of the component refers to the sum of the axial power and the radial power of the reactor component; and The thermal margin of the reactor to be inspected is determined according to the reactor parameters.

15. A computer program product comprising a computer program, characterized in that When the computer program is executed by one or more processors, the one or more processors are caused to perform the following steps: Determining a first predicted deviation from nucleate boiling ratio of the reactor to be tested, wherein the first predicted deviation from nucleate boiling ratio refers to a minimum deviation from nucleate boiling ratio predicted for the reactor to be tested; Determining the reactor parameters of the reactor to be detected at the predicted time according to the predicted time corresponding to the first predicted deviation from nucleate boiling ratio, wherein the reactor parameters include the axial power distribution and the total power of the reactor assembly in the reactor to be detected, and the total power of the assembly refers to the sum of the axial power and the radial power of the reactor assembly; and The thermal margin of the reactor to be inspected is determined according to the reactor parameters.

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