Risk level identification method, device, equipment and program product of nuclear power station

Abstract

The invention is suitable for the technical field of nuclear power stations, and provides a risk level identification method, device and equipment of a nuclear power station and a program product. The method comprises the steps of obtaining image information and sensor information of a nuclear power station; determining a risk type corresponding to each risk existing in the nuclear power plant according to the image information and the sensor information; determining the correlation degree between every two risks according to the risk type corresponding to each risk; and determining the risk level of the nuclear power station according to the risk type corresponding to each risk and the correlation degree between every two risks. According to the method, the risk level of the nuclear power station can be determined by the electronic equipment, and compared with a method for manually determining the risk level of the nuclear power station, the method can improve the efficiency of determining the risk level of the nuclear power station.

Description

Methods, devices, equipment and procedures for identifying the risk level of nuclear power plants Technical Field

[0001] This application belongs to the field of nuclear power plant technology, and in particular relates to a method, apparatus, equipment and procedure for identifying the risk level of a nuclear power plant. Background Technology

[0002] Currently, when it is necessary to determine the risk level of a nuclear power plant, staff usually need to review the image and sensor information of the nuclear power plant, and then determine the risk level based on the image and sensor information. Since it takes a long time for staff to review the image and sensor information of the nuclear power plant and determine the risk level based on the image and sensor information, the efficiency of determining the risk level of a nuclear power plant is reduced. Summary of the Invention

[0003] In view of this, embodiments of this application provide a method, apparatus, equipment, and procedure for identifying the risk level of a nuclear power plant, in order to solve the technical problem of low efficiency in determining the risk level of a nuclear power plant in the prior art.

[0004] In a first aspect, embodiments of this application provide a method for identifying the risk level of a nuclear power plant, comprising: acquiring image information and sensor information of the nuclear power plant; determining the risk type corresponding to each risk existing in the nuclear power plant based on the image information and the sensor information; determining the correlation degree between each pair of risks based on the risk type corresponding to each risk; and determining the risk level of the nuclear power plant based on the risk type corresponding to each risk and the correlation degree between each pair of risks.

[0005] Optionally, determining the correlation between any two risks based on their respective risk types includes: obtaining a pre-constructed risk correlation matrix, which records the correlation between any two risk types; and for each risk, determining the correlation between the risk and each of the other risks based on the risk type corresponding to the risk, the risk types corresponding to other risks besides the risk, and the risk correlation matrix.

[0006] Optionally, the risk correlation matrix is ​​constructed in the following manner: Several preset risk types are determined; for each preset risk type, the correlation degree between the preset risk type and each other risk type is determined based on the correlation degree scores given by the nuclear power plant staff to the preset risk type and each other risk type; and a risk correlation sub-matrix corresponding to the preset risk type is constructed based on the correlation degree between the preset risk type and each other risk type, wherein the other risk types are risk types other than the preset risk types among the several preset risk types; the risk correlation matrix is ​​then constructed based on the risk correlation sub-matrix corresponding to each preset risk type.

[0007] Optionally, determining the risk level of the nuclear power plant based on the risk type corresponding to each of the risks and the correlation between any two of the risks includes: determining a risk score corresponding to each risk type for each of the risks, and determining a first risk score based on the risk score corresponding to each of the risk types; determining a second risk score based on the correlation between any two of the risks; determining a first weight corresponding to the first risk score and a second weight corresponding to the second risk score based on the risk type corresponding to each of the risks; and determining the risk level based on the first risk score, the second risk score, the first weight, and the second weight.

[0008] Optionally, determining the second risk score based on the correlation between any two of the risks includes: for each risk, determining a sub-risk score corresponding to the risk based on the correlation between the risk and each other risk; determining the maximum risk correlation chain based on the correlation between any two of the risks, and determining the number of risks included in the maximum risk correlation chain; and determining the second risk score based on the sub-risk score corresponding to each risk and the number of risks included in the maximum risk correlation chain.

[0009] Optionally, determining the maximum risk correlation chain based on the correlation between any two of the risks includes: determining several risk combinations based on the correlation between any two of the risks, wherein the correlation between the two risks included in each risk combination is greater than a preset correlation threshold; for each risk combination, determining other risk combinations that include the same risks as the risk combination, and determining the risk correlation sub-chain corresponding to the risk combination based on the risk combination and each of the other risk combinations; and determining the maximum risk correlation chain based on the risk correlation sub-chain corresponding to each risk combination.

[0010] Optionally, determining the first weight corresponding to the first risk score and the second weight corresponding to the second risk score based on the risk type corresponding to each of the risks includes: determining a preset weight corresponding to each of the risk types; determining the first weight based on the risk type corresponding to each of the risks and the preset weight corresponding to each of the risk types; and determining the second weight based on the first weight.

[0011] Secondly, embodiments of this application provide a risk level identification device for a nuclear power plant, comprising: an information acquisition unit for acquiring image information and sensor information of the nuclear power plant; a first determination unit for determining the risk type corresponding to each risk existing in the nuclear power plant based on the image information and the sensor information; a second determination unit for determining the correlation degree between any two of the risks based on the risk type corresponding to each of the risks; and a third determination unit for determining the risk level of the nuclear power plant based on the risk type corresponding to each of the risks and the correlation degree between any two of the risks.

[0012] Thirdly, embodiments of this application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the risk level identification method for nuclear power plants as described in any of the first aspects above.

[0013] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the risk level identification method for nuclear power plants as described in any of the first aspects above.

[0014] Fifthly, embodiments of this application provide a computer program product that, when run on a control device, causes the control device to perform each step of the risk level identification method for nuclear power plants as described in any of the first aspects above.

[0015] The risk level identification method, apparatus, equipment, and program product for nuclear power plants provided in this application have the following beneficial effects: In the risk level identification method for nuclear power plants provided in this application, image information and sensor information of the nuclear power plant are first acquired. Then, based on the image information and sensor information, the risk type corresponding to each risk existing in the nuclear power plant is determined. Next, based on the risk type corresponding to each risk, the correlation between any two risks is determined. Finally, based on the risk type corresponding to each risk and the correlation between any two risks, the risk level of the nuclear power plant is determined. This method allows electronic equipment to determine the risk level of a nuclear power plant, which improves the efficiency of determining the risk level compared to methods that determine the risk level manually. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art 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.

[0017] Figure 1 is a flowchart of the implementation of the risk level identification method for nuclear power plants provided in the embodiments of this application; Figure 2 is a schematic diagram of a risk correlation sub-matrix provided in the embodiments of this application; Figure 3 is a schematic diagram of a risk correlation matrix provided in the embodiments of this application; Figure 4 is a flowchart of the implementation of a method for determining the risk level of a nuclear power plant provided in the embodiments of this application; Figure 5 is a structural schematic diagram of a risk level identification device for nuclear power plants provided in the embodiments of this application; Figure 6 is a structural schematic diagram of an electronic device provided in the embodiments of this application. Detailed Implementation

[0018] It should be noted that the terminology used in the embodiments of this application is only for explaining specific embodiments of this application and is not intended to limit this application. In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more, "at least one" or "one or more" means one, two or more. The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0019] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0020] The subject executing the risk level identification method for nuclear power plants provided in this application embodiment can be an electronic device, which may include, but is not limited to, electronic devices such as laptops, desktop computers, tablets, and mobile phones.

[0021] The nuclear power plant risk level identification method provided in this application can be applied to any scenario where the risk level of a nuclear power plant needs to be determined. Specifically, when a user needs to determine the risk level of a nuclear power plant, they can execute the various steps of the nuclear power plant risk level identification method provided in this application through an electronic device, thereby improving the efficiency of determining the risk level of the nuclear power plant.

[0022] Please refer to Figure 1. Figure 1 is a flowchart of the implementation of the risk level identification method for nuclear power plants provided in the embodiments of this application. The risk level identification method for nuclear power plants provided in the embodiments of this application may include S101~S104, which are described in detail below: In S101, image information and sensor information of the nuclear power plant are acquired.

[0023] In this embodiment of the application, the electronic device can acquire image information of the nuclear power plant through a camera set at a preset location in the nuclear power plant, and can acquire sensor information of the nuclear power plant through a sensor set at a preset location in the nuclear power plant.

[0024] In S102, based on image information and sensor information, the risk type corresponding to each risk existing in the nuclear power plant is determined.

[0025] In this embodiment of the application, after acquiring image information and sensor information, the electronic device can determine each risk existing in the nuclear power plant based on the image information and sensor information in a preset manner, and determine the risk type corresponding to each risk.

[0026] In this application, a nuclear power plant may have one or more risks at the same time, and each risk may correspond to a risk type; for example, risk types may include, but are not limited to, the following types: equipment failure risk, human error risk, unauthorized intrusion risk, environmental anomaly risk, disorder risk, and emergency failure risk.

[0027] Among them, equipment failure risk can be defined as: the risk of functional failure or performance degradation of various equipment in a nuclear power plant due to abnormal operation, aging, damage, etc.

[0028] Human error risk can be defined as the safety risks caused by personnel in nuclear power plants during the entire process of operation, inspection, and access control due to violations of regulations, lack of protection, or abnormal conditions.

[0029] Among them, the risk of unauthorized intrusion can be defined as: the risk that unauthorized personnel and / or vehicles may enter the controlled area of ​​a nuclear power plant through illegal means, which may cause safety accidents or information leaks.

[0030] Among them, environmental anomaly risk can be defined as: the risk that abnormal changes in the environment inside and outside the nuclear power plant may affect equipment operation and personnel safety.

[0031] Among them, the risk of disorder can be defined as: the potential for chain risks caused by the disorder of operation in the traffic, operation, storage and other scenarios within the nuclear power plant due to violations.

[0032] Emergency failure risk can be defined as the risk that a sudden accident may escalate due to a failure or untimely response in the emergency support system such as fire protection, rescue, and communication within a nuclear power plant.

[0033] In S103, the correlation between each pair of risks is determined based on the risk type corresponding to each risk.

[0034] In this embodiment of the application, after determining the risk type corresponding to each risk existing in the nuclear power plant, the electronic device can determine the correlation between pairs of risks based on the risk type corresponding to each risk.

[0035] In one possible implementation, the electronic device can determine the correlation between pairs of risks through steps a to b, as detailed below: In step a, a pre-constructed risk correlation matrix is ​​obtained, which records the correlation between any two risk types.

[0036] In this implementation, the risk correlation matrix can be determined in the following way: First, determine several preset risk types.

[0037] For example, the preset risk types may include the following six: equipment failure risk, human error risk, unauthorized intrusion risk, environmental anomaly risk, disorder risk, and emergency failure risk.

[0038] After identifying several preset risk types, the electronic equipment can determine the correlation degree between each preset risk type and each other risk type based on the correlation degree score given by the nuclear power plant staff. Then, based on the correlation degree between the preset risk type and each other risk type, a risk correlation degree sub-matrix corresponding to the preset risk type is constructed. The other risk types are the risk types other than the preset risk type among the several preset risk types.

[0039] For example, for the risk type of equipment failure risk, electronic equipment can determine the correlation degree between equipment failure risk and each of the following risks based on the correlation scores given by nuclear power plant personnel: risk of human error, risk of unauthorized intrusion, risk of environmental anomalies, risk of disorder, and risk of emergency failure. This allows for the construction of a risk correlation submatrix corresponding to equipment failure risk.

[0040] Please refer to Figure 2, which is a schematic diagram of a risk correlation sub-matrix provided in an embodiment of this application. As shown in Figure 2, the risk correlation sub-matrix corresponds to the equipment failure risk. Each number in this risk correlation sub-matrix represents the correlation degree between the equipment failure risk and other risks. For example, the correlation degree between the equipment failure risk and the human error risk is 2. It should be noted that the higher the number, the higher the corresponding correlation degree.

[0041] In addition, electronic devices can construct risk correlation sub-matrices corresponding to human error risk, illegal intrusion risk, environmental anomaly risk, disorder risk, and emergency failure risk respectively by constructing risk correlation sub-matrices corresponding to equipment failure risks, as provided above.

[0042] After constructing the risk correlation submatrix corresponding to each preset risk type, the electronic device can construct the risk correlation matrix based on the risk correlation submatrix corresponding to each preset risk type.

[0043] Please refer to Figure 3. Figure 3 is a schematic diagram of a risk correlation matrix provided in an embodiment of this application. As shown in Figure 3, a risk correlation matrix can be obtained by combining the risk correlation sub-matrices corresponding to equipment failure risk, human error risk, illegal intrusion risk, environmental anomaly risk, disorder risk, and emergency failure risk.

[0044] In step b, for each risk, the correlation between the risk and each of the other risks is determined based on the risk type corresponding to the risk, the risk types corresponding to the other risks, and the risk correlation matrix.

[0045] In this implementation, after obtaining the pre-constructed risk correlation matrix, the electronic device can determine the correlation between each risk and each other risk based on the risk type corresponding to that risk, the risk types corresponding to other risks besides that risk, and the risk correlation matrix, thereby determining the correlation between each pair of risks.

[0046] For example, a nuclear power plant may face three risks: equipment failure risk, human error risk, and unauthorized intrusion risk. Based on this, electronic devices can determine the correlation between equipment failure risk and human error risk as 2, and the correlation between equipment failure risk and unauthorized intrusion risk as 1. Similarly, for human error risk, the correlation between human error risk and equipment failure risk is 2, and the correlation between human error risk and unauthorized intrusion risk is 2. Furthermore, for unauthorized intrusion risk, the correlation between unauthorized intrusion risk and equipment failure risk is 1, and the correlation between unauthorized intrusion risk and human error risk is 2. Therefore, the pairwise correlations between equipment failure risk, human error risk, and unauthorized intrusion risk can be determined; that is, the correlation between equipment failure risk and human error risk is 2, the correlation between equipment failure risk and unauthorized intrusion risk is 1, and the correlation between human error risk and unauthorized intrusion risk is 2.

[0047] In S104, the risk level of a nuclear power plant is determined based on the risk type corresponding to each risk and the correlation between any two risks.

[0048] In this embodiment of the application, after determining the correlation between each pair of risks in the nuclear power plant, the electronic device can determine the risk level of the nuclear power plant based on the risk type corresponding to each risk and the correlation between each pair of risks, as shown in Figure 4.

[0049] Please refer to Figure 4. Figure 4 is a flowchart of the implementation of a method for determining the risk level of a nuclear power plant provided in the embodiment of this application. The method for determining the risk level of a nuclear power plant provided in the embodiment of this application may include S201~S204, which are detailed as follows: In S201, for each risk, the risk score corresponding to the risk type is determined, and a first risk score is determined based on the risk score corresponding to each risk type.

[0050] In this implementation, the electronic device can acquire a pre-constructed risk scoring matrix, which records the risk scores corresponding to any risk type. In one possible implementation, the electronic device can determine the risk score corresponding to each risk type based on the hazard level rating given by nuclear power plant personnel. This determines the risk score for each risk type within the nuclear power plant; specifically, the higher the hazard level rating given by nuclear power plant personnel for a risk type, the higher the corresponding risk score.

[0051] After determining the risk score corresponding to each risk type included in the nuclear power plant, the electronic device can determine the sum of the risk scores corresponding to each risk type included in the nuclear power plant as the first risk score.

[0052] For example, if the risks included in a nuclear power plant correspond to the risk types of equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk, then the electronic equipment can determine the risk score corresponding to each of the equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk according to the risk scoring matrix. Then, the sum of the risk scores corresponding to each of the equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk is determined as the first risk score.

[0053] In S202, a second risk score is determined based on the correlation between each pair of risks.

[0054] In this implementation, the electronic device can determine the second risk score based on the correlation between each pair of risks through steps c to e, as detailed below: In step c, for each risk, the sub-risk score corresponding to the risk is determined based on the correlation between the risk and each other risk. For example, the electronic device can determine the sub-risk score corresponding to the risk based on the sum of the correlation between the risk and each other risk.

[0055] For example, the risks associated with a nuclear power plant include equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk. For equipment failure risk, a sub-risk score can be determined based on the sum of the correlation degrees between equipment failure risk and each of the three risks: human error risk, unauthorized intrusion risk, and environmental anomaly risk. According to the risk correlation matrix shown in Figure 3, the sum of the correlation degrees between equipment failure risk and each of these risks is 5 (2+1+2). Therefore, the sub-risk score for equipment failure risk can be determined to be 5.

[0056] Similarly, sub-risk scores can be determined for human error risk, unauthorized intrusion risk, and environmental anomaly risk, respectively.

[0057] In step d, the maximum risk correlation chain is determined based on the correlation between each pair of risks, and the number of risks included in the maximum risk correlation chain is determined.

[0058] In this implementation, the electronic device can determine several risk combinations based on the correlation between pairs of risks. Each risk combination contains two risks whose correlation exceeds a preset correlation threshold. Then, for each risk combination, the electronic device can determine other risk combinations that include the same risks. Based on the risk combination and each of these other risk combinations, the electronic device can determine the corresponding risk correlation sub-chain. Finally, the electronic device can determine the maximum risk correlation chain based on the risk correlation sub-chains corresponding to each risk combination. Specifically, determining the maximum risk correlation chain based on the risk correlation sub-chains corresponding to each risk combination can be achieved by identifying the risk correlation sub-chain containing the most risks among all risk correlation sub-chains for each risk combination as the maximum risk correlation chain.

[0059] For example, the risks included in a nuclear power plant are respectively classified as equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk. A preset correlation threshold is set to 1. Based on the risk correlation matrix shown in Figure 3, the risk combinations can be determined as follows: (equipment failure risk, human error risk), (equipment failure risk, environmental anomaly risk), and (human error risk, unauthorized intrusion risk). Then, for the risk combination (equipment failure risk, human error risk), the electronic equipment can determine other risk combinations containing the same risks as this risk combination as the risk combination (equipment failure risk, environmental anomaly risk) and the risk combination (human error risk, unauthorized intrusion risk). Therefore, the risk correlation sub-chain corresponding to the risk combination (equipment failure risk, human error risk) can be determined as environmental anomaly risk - equipment failure risk - human error risk - unauthorized intrusion risk. Since this risk correlation sub-chain already includes all risk types (equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk), the maximum risk correlation chain is environmental anomaly risk - equipment failure risk - human error risk - unauthorized intrusion risk. The maximum risk chain includes 4 risks.

[0060] For example, the risks included in a nuclear power plant are categorized into equipment failure risk, human error risk, unauthorized intrusion risk, environmental anomaly risk, disorder risk, and emergency failure risk. A preset correlation threshold of 2 is set. Based on the risk correlation matrix shown in Figure 3, the following risk combinations can be identified: (equipment failure risk, emergency failure risk), (human error risk, disorder risk), (unauthorized intrusion risk, disorder risk), (unauthorized intrusion risk, emergency failure risk), and (disorder risk, emergency failure risk). Then, for the risk combination (equipment failure risk, emergency failure risk), electronic equipment can identify other risk combinations containing the same risks as this combination: (unauthorized intrusion risk, emergency failure risk), (disorder risk, emergency failure risk), and this risk combination. Therefore, the risk correlation sub-chains corresponding to the risk combination (equipment failure risk, emergency failure risk) can be determined as equipment failure risk - emergency failure risk - disorder risk and equipment failure risk - emergency failure risk - unauthorized intrusion risk. Furthermore, the correlation sub-chains for (human error risk, disorder risk) can be determined. The corresponding risk association sub-chain is Human Factor Error Risk - Disorder Risk - Unauthorized Intrusion Risk. It can be determined that the risk association sub-chain corresponding to (Unauthorized Intrusion Risk, Disorder Risk) is Emergency Failure Risk - Unauthorized Intrusion Risk - Disorder Risk - Human Factor Error Risk. It can also be determined that the risk association sub-chain corresponding to (Unauthorized Intrusion Risk, Emergency Failure Risk) is Disorder Risk - Unauthorized Intrusion Risk - Emergency Failure Risk - Disorder Risk. Finally, it can be determined that the risk association sub-chain corresponding to (Disorder Risk, Emergency Failure Risk) is Unauthorized Intrusion Risk - Disorder Risk - Emergency Failure Risk - Equipment Failure Risk. It can be seen that the risk association sub-chain with the most risks in each risk combination contains 4 risks.

[0061] In step e, a second risk score is determined based on the sub-risk score corresponding to each risk and the number of risks included in the largest risk association chain.

[0062] In this implementation, for example, the electronic device may determine the second risk score by summing the sub-risk scores corresponding to each risk and the number of risks included in the chain of the largest risk.

[0063] For example, the risks included in a nuclear power plant are respectively the risk types of equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk. If the sub-risk score corresponding to equipment failure risk is 5, the sub-risk score corresponding to human error risk is 5, the sub-risk score corresponding to unauthorized intrusion risk is 4, and the sub-risk score corresponding to environmental anomaly risk is 4, and the number of risks included in the maximum risk association chain is 4, then based on this, the electronic device can determine 22 (5+5+4+4+4) as the second risk score.

[0064] In S203, based on the risk type corresponding to each risk, the first weight corresponding to the first risk score and the second weight corresponding to the second risk score are determined.

[0065] In this embodiment of the application, the electronic device can first determine the preset weight corresponding to each risk type, then determine the first weight according to the risk type corresponding to each risk and the preset weight corresponding to each risk type, and finally determine the second weight according to the first weight.

[0066] Specifically, the electronic device can determine the first weight by summing the preset weights corresponding to the risk type for each risk, and then determine the value of (1 - first weight) as the second weight.

[0067] For example, if the risks included in a nuclear power plant correspond to the risk types of equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk, and the preset weights for equipment failure risk, human error risk, unauthorized intrusion risk, and environmental anomaly risk are 0.1, then 0.55 (0.1+0.15+0.2+0.1) can be determined as the first weight, and 0.45 (1-0.55) can be determined as the second weight.

[0068] In S204, the risk level is determined based on the first risk score, the second risk score, the first weight, and the second weight.

[0069] In this embodiment of the application, after determining the first risk score, the second risk score, the first weight, and the second weight, the electronic device can determine the target risk score based on the first product of the first risk score and the first weight, and the second product of the second risk score and the second weight, and determine the risk level of the nuclear power plant based on the target risk score.

[0070] As can be seen from the above, the risk level identification method for nuclear power plants provided in this application first acquires image information and sensor information of the nuclear power plant. Then, based on the image information and sensor information, it determines the risk type corresponding to each risk existing in the nuclear power plant. Next, based on the risk type corresponding to each risk, it determines the correlation between any two risks. Finally, based on the risk type corresponding to each risk and the correlation between any two risks, it determines the risk level of the nuclear power plant. This method allows electronic devices to determine the risk level of a nuclear power plant, which, compared to methods that determine the risk level manually, improves the efficiency of determining the risk level of a nuclear power plant.

[0071] Based on the risk level identification method for nuclear power plants provided in the above embodiments, this application further provides a risk level identification device for nuclear power plants that implements the above method embodiments. Please refer to Figure 5, which is a structural schematic diagram of a risk level identification device for nuclear power plants provided in this application embodiment. As shown in Figure 5, the risk level identification device 50 for nuclear power plants may include: an information acquisition unit 51, a first determination unit 52, a second determination unit 53, and a third determination unit 54. Wherein: the information acquisition unit 51 is used to acquire image information and sensor information of the nuclear power plant.

[0072] The first determining unit 52 is used to determine the risk type corresponding to each risk existing in the nuclear power plant based on image information and sensor information.

[0073] The second determining unit 53 is used to determine the correlation between pairs of risks based on the risk type corresponding to each risk.

[0074] The third determining unit 54 is used to determine the risk level of the nuclear power plant based on the risk type corresponding to each risk and the correlation between any two risks.

[0075] Optionally, the second determining unit 53 is specifically used to: obtain a pre-constructed risk correlation matrix, which records the correlation between any two risk types; and for each risk, determine the correlation between the risk and each other risk based on the risk type corresponding to the risk, the risk types corresponding to other risks besides the risk, and the risk correlation matrix.

[0076] Optionally, the second determining unit 53 is specifically used for: determining several preset risk types; for each preset risk type, determining the correlation degree between the preset risk type and each other risk type based on the correlation degree scores given by the nuclear power plant staff to the preset risk type and each other risk type, and constructing a risk correlation degree sub-matrix corresponding to the preset risk type based on the correlation degree between the preset risk type and each other risk type, wherein the other risk types are risk types other than the preset risk types among the several preset risk types; and constructing a risk correlation degree matrix based on the risk correlation degree sub-matrix corresponding to each preset risk type.

[0077] Optionally, the third determining unit 54 is specifically used for: determining the risk score corresponding to the risk type for each risk, and determining a first risk score based on the risk score corresponding to each risk type; determining a second risk score based on the correlation between pairs of risks; determining a first weight corresponding to the first risk score and a second weight corresponding to the second risk score based on the risk type corresponding to each risk; and determining the risk level based on the first risk score, the second risk score, the first weight, and the second weight.

[0078] Optionally, the third determining unit 54 is specifically used for: for each risk, determining the sub-risk score corresponding to the risk based on the correlation degree between the risk and each other risk; determining the maximum risk correlation chain based on the correlation degree between each pair of risks, and determining the number of risks included in the maximum risk correlation chain; and determining the second risk score based on the sub-risk score corresponding to each risk and the number of risks included in the maximum risk correlation chain.

[0079] Optionally, the third determining unit 54 is specifically used for: determining several risk combinations based on the correlation between pairs of risks, wherein the correlation between the two risks included in each risk combination is greater than a preset correlation threshold; for each risk combination, determining other risk combinations that include the same risks as the risk combination, and determining the risk correlation sub-chain corresponding to the risk combination based on the risk combination and each other risk combination; and determining the maximum risk correlation chain based on the risk correlation sub-chain corresponding to each risk combination.

[0080] Optionally, the third determining unit 54 is specifically used to: determine the preset weight corresponding to each risk type; determine the first weight according to the risk type corresponding to each risk and the preset weight corresponding to each risk type; and determine the second weight according to the first weight.

[0081] It should be noted that the information interaction and execution process between the above-mentioned units are based on the same concept as the method embodiments of this application. Their specific functions and technical effects can be referred to the method embodiments section, and will not be repeated here.

[0082] Please refer to Figure 6, which is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. As shown in Figure 6, the electronic device 6 provided in this embodiment may include: a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60, such as a program corresponding to a risk level identification method for nuclear power plants. When the processor 60 executes the computer program 62, it implements the steps described above in the embodiment of the risk level identification method for nuclear power plants, such as S101~S104 shown in Figure 1 and S201~S204 shown in Figure 4. Alternatively, when the processor 60 executes the computer program 62, it implements the functions of each module / unit in the embodiment of the risk level identification device for nuclear power plants, such as the functions of units 51~54 shown in Figure 5.

[0083] For example, computer program 62 can be divided into one or more modules / units, one or more of which are stored in memory 61 and executed by processor 60 to complete this application. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of computer program 62 in electronic device 6. For example, computer program 62 can be divided into information acquisition unit 51, first determination unit 52, second determination unit 53, and third determination unit 54. The specific functions of each unit are described in the relevant embodiments corresponding to FIG. 5, and will not be repeated here.

[0084] Those skilled in the art will understand that FIG6 is merely an example of electronic device 6 and does not constitute a limitation on electronic device 6. It may include more or fewer components than shown, or combine certain components, or different components.

[0085] The processor 60 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0086] The memory 61 can be an internal storage unit of the electronic device 6, such as a hard disk or RAM. The memory 61 can also be an external storage device of the electronic device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, or flash card. Furthermore, the memory 61 can include both internal and external storage units of the electronic device 6. The memory 61 is used to store computer programs and other programs and data required by the electronic device. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0087] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units is merely an example. In practical applications, the functions described above can be assigned to different functional units as needed. For instance, the internal structure of a nuclear power plant's risk level identification device can be divided into different functional units to complete all or part of the functions described above. The functional units in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units are merely for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0088] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the steps in the various method embodiments described above.

[0089] This application provides a computer program product that, when run on a terminal device, enables the terminal device to implement the steps described in the various method embodiments above.

[0090] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, refer to the relevant descriptions of other embodiments.

[0091] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0092] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for identifying the risk level of a nuclear power plant, characterized in that, include: Acquire image and sensor information from nuclear power plants; Based on the image information and the sensor information, determine the risk type corresponding to each risk existing in the nuclear power plant; Determine the correlation between each pair of risks based on the risk type corresponding to each risk. The risk level of the nuclear power plant is determined based on the risk type corresponding to each of the risks and the correlation between any two of the risks.

2. The method according to claim 1, characterized in that, The step of determining the correlation between any two of the risks based on their respective risk types includes: obtaining a pre-constructed risk correlation matrix, which records the correlation between any two risk types; and for each risk, determining the correlation between the risk and each of the other risks based on the risk type corresponding to the risk, the risk types corresponding to other risks besides the risk, and the risk correlation matrix.

3. The method according to claim 1, characterized in that, The risk correlation matrix is ​​constructed as follows: several preset risk types are determined; for each preset risk type, the correlation degree between the preset risk type and each other risk type is determined based on the correlation degree scores given by the nuclear power plant staff to the preset risk type and each other risk type; and a risk correlation sub-matrix corresponding to the preset risk type is constructed based on the correlation degree between the preset risk type and each other risk type, wherein the other risk types are risk types other than the preset risk types among the several preset risk types. The risk correlation matrix is ​​constructed based on the risk correlation submatrix corresponding to each of the preset risk types.

4. The method according to any one of claims 1 to 3, characterized in that, The step of determining the risk level of the nuclear power plant based on the risk type corresponding to each of the risks and the correlation between any two of the risks includes: determining a risk score corresponding to each risk type for each of the risks, and determining a first risk score based on the risk score corresponding to each of the risk types; determining a second risk score based on the correlation between any two of the risks; determining a first weight corresponding to the first risk score and a second weight corresponding to the second risk score based on the risk type corresponding to each of the risks; and determining the risk level based on the first risk score, the second risk score, the first weight, and the second weight.

5. The method according to claim 4, characterized in that, The step of determining the second risk score based on the correlation between each pair of risks includes: for each risk, determining a sub-risk score corresponding to the risk based on the correlation between the risk and each other risk; determining the maximum risk correlation chain based on the correlation between each pair of risks, and determining the number of risks included in the maximum risk correlation chain; and determining the second risk score based on the sub-risk score corresponding to each risk and the number of risks included in the maximum risk correlation chain.

6. The method according to claim 4, characterized in that, The step of determining the maximum risk correlation chain based on the correlation between any two of the risks includes: determining several risk combinations based on the correlation between any two of the risks, wherein the correlation between the two risks included in each risk combination is greater than a preset correlation threshold; for each risk combination, determining other risk combinations that include the same risks as the risk combination, and determining the risk correlation sub-chain corresponding to the risk combination based on the risk combination and each of the other risk combinations; and determining the maximum risk correlation chain based on the risk correlation sub-chain corresponding to each risk combination.

7. The method according to claim 4, characterized in that, The step of determining the first weight corresponding to the first risk score and the second weight corresponding to the second risk score based on the risk type corresponding to each of the risks includes: determining the preset weight corresponding to each of the risk types; determining the first weight based on the risk type corresponding to each of the risks and the preset weight corresponding to each of the risk types; and determining the second weight based on the first weight.

8. A risk level identification device for a nuclear power plant, characterized in that, include: The information acquisition unit is used to acquire image and sensor information from the nuclear power plant. The first determining unit is used to determine the risk type corresponding to each risk existing in the nuclear power plant based on the image information and the sensor information; The second determining unit is used to determine the correlation between any two of the risks based on the risk type corresponding to each of the risks. The third determining unit is used to determine the risk level of the nuclear power plant based on the risk type corresponding to each of the risks and the correlation between any two of the risks.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements each step of the risk level identification method for nuclear power plants as described in any one of claims 1 to 7.

10. A computer program product, characterized in that, When the computer program product is executed by a processor, it implements the steps of the risk level identification method for nuclear power plants as described in any one of claims 1 to 7.

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