Design margin determination method and device and electronic equipment

Abstract

The invention provides a design margin determination method and device and electronic equipment, which are applied to the technical field of nuclear power, and the method comprises the steps: determining a plurality of groups of first parameter values according to a plurality of physical parameter values of a nuclear power system, each group of first parameter values comprising an originating event occurrence frequency value and a processing measure failure probability value, the originating event is an event causing the change of the physical parameter value, and the processing measure is a measure taken to deal with the originating event; determining a plurality of radioactive substance release frequency values of the nuclear power system according to the plurality of groups of first parameter values; determining a target physical parameter value in the plurality of physical parameter values according to the plurality of radioactive substance release frequency values; and determining a design margin of the nuclear power system according to the target physical parameter value and a physical parameter design reference value of the nuclear power system. The method improves the reliability of the design margin.

Description

Technical Field

[0001] This application relates to the field of nuclear power technology, and in particular to a method, apparatus and electronic equipment for determining design margin. Background Technology

[0002] The "steep-side effect" in nuclear power plants refers to the significant and rapid abrupt change in the system state that can be triggered by minor changes or events (initiation events). This typically means a sudden, uncontrollable release of radioactive material or other serious accidents. Design margins are a range or tolerance set outside the performance specifications of equipment, systems, or structures to accommodate unpredictable loads, environmental conditions, and other potential anomalies. They ensure that even in the event of unexpected extreme situations or events, the system can maintain its function and prevent serious accidents or releases of radioactive material. Therefore, determining design margins is crucial to prevent system failure caused by steep-side effects. Currently, design margins are primarily determined by designers based on engineering experience. However, the resulting design margins cannot definitively eliminate the steep-side effect, thus the reliability of existing design margin determination methods is relatively low. Summary of the Invention

[0003] This application provides a method and apparatus for determining design margins to address the problem of low reliability in existing methods for determining design margins.

[0004] To solve the above-mentioned technical problems, this application is implemented as follows:

[0005] In a first aspect, embodiments of this application provide a method for determining design margin. The method includes:

[0006] Based on multiple physical parameter values ​​of the nuclear power system, multiple sets of first parameter values ​​are determined. Each set of first parameter values ​​includes an initiating event occurrence frequency value and a handling measure failure probability value. The initiating event is the event that causes the physical parameter value to change, and the handling measure is the measure taken to deal with the initiating event.

[0007] Based on the multiple sets of first parameter values, the release frequency values ​​of multiple radioactive materials of the nuclear power system are determined respectively;

[0008] Based on the multiple radioactive material release frequency values, determine the target physical parameter value among the multiple physical parameter values;

[0009] The design margin of the nuclear power system is determined based on the target physical parameter values ​​and the design baseline values ​​of the physical parameters of the nuclear power system.

[0010] Optionally, determining the target physical parameter value among the plurality of physical parameter values ​​based on the plurality of radioactive material release frequency values ​​includes:

[0011] Determine the maximum radioactive material release frequency value among the plurality of radioactive material release frequency values, wherein the maximum radioactive material release frequency value is greater than a preset threshold;

[0012] The physical parameter value corresponding to the maximum radioactive material release frequency value is determined as the target physical parameter value.

[0013] Optionally, determining multiple radioactive material release frequency values ​​based on the multiple sets of first parameter values ​​includes:

[0014] Calculate the product value corresponding to each group of the first parameter values, where the product value is the product of the occurrence frequency of the initiating event and the failure frequency of the mitigation measures in the first parameter values;

[0015] The product value corresponding to each group of the first parameter values ​​is determined as the release frequency value of each radioactive material.

[0016] Optionally, determining the design margin based on the target physical parameter value and the physical parameter design reference value includes:

[0017] The difference between the target physical parameter value and the physical parameter design baseline value is determined as the design margin.

[0018] Optionally, determining multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system includes:

[0019] Multiple initiation event frequency values ​​are determined based on multiple physical parameter values ​​of the nuclear power system and a preset database. The preset database stores N initiation event frequency values ​​and the physical parameter value corresponding to each initiation event frequency, where N is an integer greater than 1.

[0020] Based on multiple physical parameter values ​​of the nuclear power system and equipment parameter values ​​of multiple nuclear power devices in the nuclear power system, multiple failure probability values ​​of treatment measures are determined.

[0021] Secondly, embodiments of this application also provide a design margin determination device. The design margin determination device includes:

[0022] The first determining module is used to determine multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system. Each set of first parameter values ​​includes an initiating event occurrence frequency value and a handling measure failure probability value. The initiating event is an event that causes a change in the physical parameter value, and the handling measure is a measure taken to deal with the initiating event.

[0023] The second determining module is used to determine multiple radioactive material release frequency values ​​of the nuclear power system based on the multiple sets of first parameter values ​​respectively;

[0024] The third determining module is used to determine the target physical parameter value among the multiple physical parameter values ​​based on the multiple radioactive material release frequency values;

[0025] The fourth determining module is used to determine the design margin of the nuclear power system based on the target physical parameter values ​​and the design reference values ​​of the physical parameters of the nuclear power system.

[0026] Optionally, the third determining module includes:

[0027] The first determining unit is used to determine the maximum radioactive material release frequency value among the plurality of radioactive material release frequency values, wherein the maximum radioactive material release frequency value is greater than a preset threshold.

[0028] The second determining unit is used to determine the physical parameter value corresponding to the maximum radioactive material release frequency value as the target physical parameter value.

[0029] Optionally, the second determining module includes:

[0030] The first calculation unit is used to calculate the product value corresponding to each group of the first parameter values, wherein the product value is the product of the occurrence frequency value of the initiating event and the failure frequency value of the mitigation measures in the first parameter values;

[0031] The third determining unit is used to determine the product value corresponding to each group of the first parameter values ​​as the release frequency value of each radioactive material.

[0032] Optionally, the fourth determining module includes:

[0033] The fourth determining unit is used to determine the difference between the target physical parameter value and the physical parameter design reference value as the design margin.

[0034] Optionally, the first determining module includes:

[0035] The fifth determining unit is used to determine multiple initiation event frequency values ​​based on multiple physical parameter values ​​of the nuclear power system and a preset database. The preset database stores N initiation event frequency values ​​and physical parameter values ​​corresponding to each initiation event frequency, where N is an integer greater than 1.

[0036] The sixth determining unit is used to determine the failure probability values ​​of multiple treatment measures based on multiple physical parameter values ​​of the nuclear power system and the equipment parameter values ​​of multiple nuclear power devices in the nuclear power system.

[0037] Thirdly, embodiments of this application also provide an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-described design margin determination method.

[0038] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described design margin determination method.

[0039] Fifthly, a computer program product is provided, including computer instructions that, when executed by a processor, implement the steps of the design margin determination method as described in the first aspect.

[0040] The design margin determination method of this application includes determining multiple sets of first parameter values ​​based on multiple physical parameter values ​​of a nuclear power system. Each set of first parameter values ​​includes an initiating event frequency value and a treatment measure failure probability value. The initiating event is an event that causes a change in the physical parameter value, and the treatment measure is a measure taken to deal with the initiating event. The method further includes determining multiple radioactive material release frequency values ​​of the nuclear power system based on the multiple sets of first parameter values; determining a target physical parameter value among the multiple physical parameter values ​​based on the multiple radioactive material release frequency values; and determining the design margin of the nuclear power system based on the target physical parameter value and the design reference value of the nuclear power system's physical parameters. This method uses multiple radioactive material release frequency values ​​to infer the target physical parameter value among the multiple physical parameter values, and then quantitatively determines the additional design margin required for prevention in the event of a steep-side effect in the nuclear power system based on the target physical parameter value and the design reference value of the nuclear power system, thereby improving the reliability of the design margin determination. Attached Figure Description

[0041] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a flowchart of the design margin determination method provided in the embodiments of this application;

[0043] Figure 2 This is a structural diagram of a design margin determination device provided in an embodiment of this application;

[0044] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0046] This application provides a method for determining design margin. See also... Figure 1 , Figure 1 This is a flowchart of the design margin determination method provided in the embodiments of this application, such as... Figure 1 As shown, it includes the following steps:

[0047] Step 101: Based on multiple physical parameter values ​​of the nuclear power system, determine multiple sets of first parameter values. Each set of first parameter values ​​includes an initiating event occurrence frequency value and a handling measure failure probability value. The initiating event is the event that causes the physical parameter value to change, and the handling measure is the measure taken to deal with the initiating event.

[0048] In this step, the initiating event is the event that causes the nuclear power system to transition from a stable state to a potentially hazardous state. Generally, initiating events include failure events caused by intrinsic factors of the equipment itself and failure events caused by disasters. Failures caused by intrinsic factors of the equipment are malfunctions caused by problems within the nuclear power system itself, such as pumps, valves, or control systems that may fail due to aging, design flaws, or improper maintenance. Failures caused by disasters are malfunctions caused by external factors, such as natural disasters like earthquakes, floods, and storms, or human error and terrorist attacks. Failures caused by intrinsic factors of the equipment are due to the inherent characteristics of the nuclear power system's internal equipment, and the frequency of these failures is generally stable and can be estimated using statistical data. Compared to intrinsic factors, the frequency of internal and external disasters varies considerably because natural disasters and human factors are unpredictable and fluctuating. Therefore, external disasters are the main cause of changes in the frequency of initiating events. This application mainly considers the steep-side effect caused by external initiating events.

[0049] After an initial event occurs, some key physical parameters in the nuclear power system (such as temperature and pressure) will change. For example, due to a power failure, the pumps stop working, causing the cooling water circulation to be interrupted, and the temperature and pressure inside the reactor begin to rise rapidly. Once these parameter values ​​exceed the normal range, they will pose a threat to the stability and safety of the nuclear power system.

[0050] The aforementioned measures, also known as mitigation measures, refer to those means used to deal with abnormal situations and restore the system to a safe state. These include automatic and manual interventions, such as starting the cooling system, opening safety valves, and emergency shutdown. When adverse physical parameter values ​​increase, the probability of these measures failing also increases. For example, under high temperature or high pressure conditions, related equipment (such as pumps, valves, and cooling systems) may be more prone to damage or efficiency degradation, thus failing to function properly.

[0051] For a single initiating event, the physical parameter values ​​resulting from the disaster are negatively correlated with the frequency of occurrence. For example, small earthquakes may occur occasionally, but rarely cause serious failures in cooling systems, and drastic changes in temperature or pressure are not significant. Large earthquakes, on the other hand, are rare, but they usually cause severe adverse changes in physical parameters, such as significant increases in temperature and pressure. The relationship between the frequency of initiating events F and the physical parameter values ​​L can be found in expression (1):

[0052] F=f(L)(1)

[0053] The physical parameter values ​​resulting from the disaster are positively correlated with the probability of the treatment measures failing. For example, under high temperature and high pressure conditions, the cooling system may fail because the components cannot withstand the pressure. The relationship between the failure probability value G of the treatment measures and the physical parameter value L can be found in expression (2):

[0054] G = g(L)(2)

[0055] By using relevant domestic and international databases, we can obtain the correspondence between physical parameter values ​​and the frequency of initiating events. By analyzing the equipment manufacturing status of nuclear power systems and the probabilistic safety status of nuclear power systems, we can obtain the correspondence between physical parameter values ​​and the failure probability of mitigation measures.

[0056] Step 102: Determine the multiple radioactive material release frequency values ​​of the nuclear power system based on the multiple sets of first parameter values;

[0057] In this step, when an initiating event occurs, it will cause adverse changes in the physical parameter values ​​and lead to the failure of the treatment measures. The occurrence of the initiating event and the failure of the treatment measures will cause the nuclear power system to release a large amount of radioactive material, thereby causing a major abrupt change in the state of the nuclear power system (i.e., steep-side effect). Therefore, the frequency value of radioactive material release from the nuclear power system is jointly determined by the frequency value of the initiating event and the probability value of the failure of the treatment measures.

[0058] Step 103: Determine the target physical parameter value among the multiple physical parameter values ​​based on the multiple radioactive material release frequency values;

[0059] In this step, after the nuclear power system design is completed, a probabilistic safety assessment (PSA) is performed to obtain a probabilistic safety value. To ensure the safe operation of the nuclear power system, considering the unavoidable defects in the system itself that could lead to the release of radioactive materials, the radioactive release frequency (LRF) generally needs to satisfy LRF < 1 × 10⁻⁶. -6 / reactor-year scale. In the event of a steep-side effect in a nuclear power system, the actual frequency of radioactive material release increases. This actual frequency of radioactive material release is denoted as LRF. cliff LRF that produces steep-edge effect cliff The following relationship should be satisfied:

[0060] LRF cliff ≤k×LRF original (k is a coefficient)

[0061] The value of K is determined based on the characteristics of the nuclear power system. For example, some nuclear power systems have an initial LRF value (i.e., LRF). original It's about 10. -7 For LRFs on the order of / pile·year, as long as the value of coefficient k is less than 10, the steep-side effect will cause significant losses. cliff No more than 10 -6 / The stack-year limit is still within the safe operating range.

[0062] Statistical calculations yielded multiple radioactive release frequency values ​​(i.e., LRF values). cliff When LRF exists cliff More than k×LRF original At that time, determine the largest LRF cliff This corresponds to the most unfavorable physical parameter value (i.e., the target physical parameter value). By comparing this target physical parameter value with the baseline value during the design of the nuclear power system, it is possible to determine the additional design margin required to prevent steep-side effects in the nuclear power system.

[0063] Step 104: Determine the design margin of the nuclear power system based on the target physical parameter values ​​and the design reference values ​​of the physical parameters of the nuclear power system.

[0064] In this step, the design margin of the nuclear power system can be determined based on the target physical parameter values ​​and the design baseline values ​​of the nuclear power system's physical parameters. By adding or improving protective design measures, the increase in the frequency of radioactive material release caused by adverse changes in physical parameter values ​​can be limited to a reasonable multiple, thus ensuring the safety of the nuclear power system.

[0065] In one implementation, multiple initiation event frequency values ​​and multiple treatment measure failure probability values ​​are determined based on multiple physical parameter values ​​of the nuclear power system. Through in-depth analysis of steep-side effects, the frequency values ​​of initiation event occurrence and treatment measure failure probability values ​​are used to calculate the radioactive material release frequency value of the nuclear power system. Then, the target physical parameter value among the multiple physical parameter values ​​is deduced based on the multiple radioactive material release frequency values. Based on this target physical parameter value and the design reference value of the nuclear power system, the additional design margin required for prevention in the event of a steep-side effect in the nuclear power system can be quantitatively determined, thereby improving the reliability of the design margin determination.

[0066] Optionally, determining the target physical parameter value among the plurality of physical parameter values ​​based on the plurality of radioactive material release frequency values ​​includes:

[0067] Determine the maximum radioactive material release frequency value among the plurality of radioactive material release frequency values, wherein the maximum radioactive material release frequency value is greater than a preset threshold;

[0068] The physical parameter value corresponding to the maximum radioactive material release frequency value is determined as the target physical parameter value.

[0069] In one implementation, multiple radioactive material release frequency values ​​(i.e., LRFs) are statistically calculated. cliff When LRF exists cliff More than k×LRF original When determining the largest LRF (i.e., the preset threshold mentioned above), cliff This corresponds to the most unfavorable physical parameter value (i.e., the target physical parameter value). For example, when the physical parameter is temperature, the occurrence frequency of the initiating event and the failure probability of the treatment measure are determined for each of the multiple physical parameter values. Then, based on the multiple occurrence frequency values ​​of the initiating event and the multiple failure probability values ​​of the treatment measures, multiple radioactive material release frequency values ​​are determined. When the temperature is 250°C, the radioactive material release frequency value is determined to be LRF. cliff1 At a temperature of 300℃, the radioactive release frequency was determined to be LRF. cliff2 At a temperature of 350℃, the radioactive release frequency was determined to be LRF. cliff3 In LRF cliff3 If the temperature exceeds a preset threshold and represents the maximum frequency of radioactive material release, 350°C is determined as the most unfavorable physical parameter value (i.e., the target parameter value). Subsequent comparison of this target physical parameter value with the baseline value used in the design of the nuclear power system will help to rationally determine the additional design margin required to prevent steep-side effects in the nuclear power system.

[0070] Optionally, determining multiple radioactive material release frequency values ​​based on the multiple sets of first parameter values ​​includes:

[0071] Calculate the product value corresponding to each group of the first parameter values, where the product value is the product of the occurrence frequency of the initiating event and the failure frequency of the mitigation measures in the first parameter values;

[0072] The product value corresponding to each group of the first parameter values ​​is determined as the release frequency value of each radioactive material.

[0073] In one embodiment, the radioactive material release frequency value can be obtained by superimposing the initiation event frequency value and the mitigation measure failure frequency value. Specifically, the radioactive material release frequency value (LRF) is... cliff The relationship between the frequency value F of the initial event and the failure probability value G of the treatment measure can be found in expression (3):

[0074] LRF cliff =F×G(3)

[0075] In this implementation, the frequency of radioactive material release can be determined more accurately and transparently through numerical calculations rather than qualitative judgments.

[0076] Optionally, determining the design margin based on the target physical parameter value and the physical parameter design reference value includes:

[0077] The difference between the target physical parameter value and the physical parameter design baseline value is determined as the design margin.

[0078] In one implementation, for example, the design temperature baseline for a reactor cooling system is 300°C. However, during evaluation, it was found that the system exhibits the highest frequency of radioactive material release at 350°C. Therefore, 350°C is the most unfavorable physical parameter value (i.e., the target physical parameter value). The difference of 50°C between the target physical parameter value and the design baseline physical parameter value is the design margin that needs to be considered. By considering the design margin, even if the reactor cooling system temperature rises to 350°C, the system can still operate stably, preventing unexpected failures due to steep-side effects.

[0079] Compared to the existing technology that determines design margins through engineering experience, this implementation method determines design margins accurately through numerical calculations, thereby improving the reliability of the determined design margins.

[0080] Optionally, determining multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system includes:

[0081] Multiple initiation event frequency values ​​are determined based on multiple physical parameter values ​​of the nuclear power system and a preset database. The preset database stores N initiation event frequency values ​​and the physical parameter value corresponding to each initiation event frequency, where N is an integer greater than 1.

[0082] Based on multiple physical parameter values ​​of the nuclear power system and equipment parameter values ​​of multiple nuclear power devices in the nuclear power system, multiple failure probability values ​​of treatment measures are determined.

[0083] In one implementation, within a nuclear power system, monitoring instruments are used to monitor and collect multiple physical parameter values, such as multiple temperature values ​​or multiple flow rate values. A pre-stored database (i.e., the aforementioned preset database) is used, which records the occurrence frequencies of different initiating events and the physical parameters corresponding to each initiating event frequency. This database is typically generated using long-term historical data and statistical results derived from experiments. By comparing the collected multiple physical parameter values ​​of the current nuclear power system with the statistical data in the target database, the occurrence frequency value of the initiating event corresponding to each physical parameter value in the current nuclear power system is determined.

[0084] Based on multiple physical parameter values ​​of the nuclear power system (e.g., multiple temperature values) and equipment parameter values ​​of multiple nuclear power devices within the system (e.g., equipment age, latest maintenance and inspection results, past fault records, equipment type, and design specifications), the failure probability values ​​of multiple treatment measures of the nuclear power system are determined. For example, if the operating temperature of a nuclear power device is higher than its design limit and the device has been in use for many years, the failure probability value of the treatment measures for that device may be higher.

[0085] In this implementation, by monitoring multiple physical parameter values ​​of the nuclear power system and combining them with existing target database data, the frequency of initiation events can be effectively predicted and determined. By fully integrating multiple physical parameter values ​​of the nuclear power plant and equipment-specific data, the failure probability of various treatment measures under existing operating conditions can be accurately calculated.

[0086] See Figure 2 , Figure 2 This is a structural diagram of a design margin determination device provided in another embodiment of this application. (See diagram below.) Figure 2 As shown, the design margin determination device 200 includes:

[0087] The first determining module 201 is used to determine multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system. Each set of first parameter values ​​includes an initiating event occurrence frequency value and a handling measure failure probability value. The initiating event is an event that causes a change in the physical parameter value, and the handling measure is a measure taken to deal with the initiating event.

[0088] The second determining module 202 is used to determine multiple radioactive material release frequency values ​​of the nuclear power system based on the multiple sets of first parameter values ​​respectively;

[0089] The third determining module 203 is used to determine the target physical parameter value among the multiple physical parameter values ​​based on the multiple radioactive material release frequency values;

[0090] The fourth determining module 204 is used to determine the design margin of the nuclear power system based on the target physical parameter values ​​and the design reference values ​​of the physical parameters of the nuclear power system.

[0091] Optionally, the third determining module includes:

[0092] The first determining unit is used to determine the maximum radioactive material release frequency value among the plurality of radioactive material release frequency values, wherein the maximum radioactive material release frequency value is greater than a preset threshold.

[0093] The second determining unit is used to determine the physical parameter value corresponding to the maximum radioactive material release frequency value as the target physical parameter value.

[0094] Optionally, the second determining module includes:

[0095] The first calculation unit is used to calculate the product value corresponding to each group of the first parameter values, wherein the product value is the product of the occurrence frequency value of the initiating event and the failure frequency value of the mitigation measures in the first parameter values;

[0096] The third determining unit is used to determine the product value corresponding to each group of the first parameter values ​​as the release frequency value of each radioactive material.

[0097] Optionally, the fourth determining module includes:

[0098] The fourth determining unit is used to determine the difference between the target physical parameter value and the physical parameter design reference value as the design margin.

[0099] Optionally, the first determining module includes:

[0100] The fifth determining unit is used to determine multiple initiation event frequency values ​​based on multiple physical parameter values ​​of the nuclear power system and a preset database. The preset database stores N initiation event frequency values ​​and physical parameter values ​​corresponding to each initiation event frequency, where N is an integer greater than 1.

[0101] The sixth determining unit is used to determine the failure probability values ​​of multiple treatment measures based on multiple physical parameter values ​​of the nuclear power system and the equipment parameter values ​​of multiple nuclear power devices in the nuclear power system.

[0102] See Figure 3 , Figure 3 This is a structural diagram of the electronic device provided in one embodiment of this application, such as... Figure 3 As shown, the electronic device includes: a processor 301, a communication interface 302, a communication bus 304, and a memory 303, wherein the processor 301, the communication interface 302, and the memory 303 interact with each other through the communication bus 304.

[0103] The memory 303 is used to store computer programs; the processor 301 is used to execute the programs stored in the memory 303. When the computer program is executed by the processor 301, it determines multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system. Each set of first parameter values ​​includes a frequency value of an initiating event and a failure probability value of a handling measure. The initiating event is an event that causes a change in the physical parameter value, and the handling measure is a measure taken to deal with the initiating event.

[0104] Based on the multiple sets of first parameter values, the release frequency values ​​of multiple radioactive materials of the nuclear power system are determined respectively;

[0105] Based on the multiple radioactive material release frequency values, determine the target physical parameter value among the multiple physical parameter values;

[0106] The design margin of the nuclear power system is determined based on the target physical parameter values ​​and the design baseline values ​​of the physical parameters of the nuclear power system.

[0107] Optionally, the processor 301 is specifically used for:

[0108] Determine the maximum radioactive material release frequency value among the plurality of radioactive material release frequency values, wherein the maximum radioactive material release frequency value is greater than a preset threshold;

[0109] The physical parameter value corresponding to the maximum radioactive material release frequency value is determined as the target physical parameter value.

[0110] Optionally, the processor 301 is specifically used for:

[0111] Calculate the product value corresponding to each group of the first parameter values, where the product value is the product of the occurrence frequency of the initiating event and the failure frequency of the mitigation measures in the first parameter values;

[0112] The product value corresponding to each group of the first parameter values ​​is determined as the release frequency value of each radioactive material.

[0113] Optionally, the processor 301 is specifically used for:

[0114] The difference between the target physical parameter value and the physical parameter design baseline value is determined as the design margin.

[0115] Optionally, determining multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system includes:

[0116] Multiple initiation event frequency values ​​are determined based on multiple physical parameter values ​​of the nuclear power system and a preset database. The preset database stores N initiation event frequency values ​​and the physical parameter value corresponding to each initiation event frequency, where N is an integer greater than 1.

[0117] Based on multiple physical parameter values ​​of the nuclear power system and equipment parameter values ​​of multiple nuclear power devices in the nuclear power system, multiple failure probability values ​​of treatment measures are determined.

[0118] The communication bus 304 mentioned in the above electronic device can be a Peripheral Component Interconnect (PCT) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of identification, it is represented by only one thick line in the figure, but this does not indicate that there is only one bus or one type of data.

[0119] Communication interface 302 is used for communication between the aforementioned terminal and other devices.

[0120] The memory 303 may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Optionally, the memory 303 may also be at least one storage device located remotely from the aforementioned processor 301. The aforementioned processor 301 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0121] This application also provides a computer-readable storage medium storing a computer program. When executed by a processor, this computer program implements the various processes of the above-described design margin determination method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0122] This application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the above-described... Figure 1 The various processes of the method embodiments shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0123] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0124] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0125] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for determining design margin, characterized in that, The method includes: Based on multiple physical parameter values ​​of the nuclear power system, multiple sets of first parameter values ​​are determined. Each set of first parameter values ​​includes an initiating event occurrence frequency value and a handling measure failure probability value. The initiating event is the event that causes the physical parameter value to change, and the handling measure is the measure taken to deal with the initiating event. Based on the multiple sets of first parameter values, the release frequency values ​​of multiple radioactive materials of the nuclear power system are determined respectively; Based on the multiple radioactive material release frequency values, determine the target physical parameter value among the multiple physical parameter values; The design margin of the nuclear power system is determined based on the target physical parameter values ​​and the design baseline values ​​of the physical parameters of the nuclear power system.

2. The method for determining design margin according to claim 1, characterized in that, The step of determining the target physical parameter value among the multiple physical parameter values ​​based on the multiple radioactive material release frequency values ​​includes: Determine the maximum radioactive material release frequency value among the plurality of radioactive material release frequency values, wherein the maximum radioactive material release frequency value is greater than a preset threshold; The physical parameter value corresponding to the maximum radioactive material release frequency value is determined as the target physical parameter value.

3. The method for determining design margin according to claim 1, characterized in that, The determination of multiple radioactive material release frequency values ​​based on the multiple sets of first parameter values ​​includes: Calculate the product value corresponding to each group of the first parameter values, where the product value is the product of the occurrence frequency of the initiating event and the failure frequency of the mitigation measures in the first parameter values; The product value corresponding to each group of the first parameter values ​​is determined as the release frequency value of each radioactive material.

4. The method for determining design margin according to claim 1, characterized in that, The step of determining the design margin based on the target physical parameter values ​​and the physical parameter design reference values ​​includes: The difference between the target physical parameter value and the physical parameter design baseline value is determined as the design margin.

5. The method for determining design margin according to any one of claims 1 to 4, characterized in that, The determination of multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system includes: Multiple initiation event frequency values ​​are determined based on multiple physical parameter values ​​of the nuclear power system and a preset database. The preset database stores N initiation event frequency values ​​and the physical parameter value corresponding to each initiation event frequency, where N is an integer greater than 1. Based on multiple physical parameter values ​​of the nuclear power system and equipment parameter values ​​of multiple nuclear power devices in the nuclear power system, multiple failure probability values ​​of treatment measures are determined.

6. A design margin determination device, characterized in that, The device includes: The first determining module is used to determine multiple sets of first parameter values ​​based on multiple physical parameter values ​​of the nuclear power system. Each set of first parameter values ​​includes an initiating event occurrence frequency value and a handling measure failure probability value. The initiating event is an event that causes a change in the physical parameter value, and the handling measure is a measure taken to deal with the initiating event. The second determining module is used to determine multiple radioactive material release frequency values ​​of the nuclear power system based on the multiple sets of first parameter values ​​respectively; The third determining module is used to determine the target physical parameter value among the multiple physical parameter values ​​based on the multiple radioactive material release frequency values; The fourth determining module is used to determine the design margin of the nuclear power system based on the target physical parameter values ​​and the design reference values ​​of the physical parameters of the nuclear power system.

7. The design margin determination device according to claim 6, characterized in that, The third determining module includes: The first determining unit is used to determine the maximum radioactive material release frequency value among the plurality of radioactive material release frequency values, wherein the maximum radioactive material release frequency value is greater than a preset threshold. The second determining unit is used to determine the physical parameter value corresponding to the maximum radioactive material release frequency value as the target physical parameter value.

8. An electronic device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the design margin determination method as described in any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the design margin determination method as described in any one of claims 1 to 5.

10. A computer program product, characterized in that, It includes computer instructions that, when executed by a processor, implement the steps of the design margin determination method as described in any one of claims 1 to 5.

Images