Nuclear power plant field hazard source assessment method and system

Abstract

The invention discloses a nuclear power plant field hazard source assessment method and system, and relates to the technical field of nuclear power plant safety management, and the method comprises the steps: obtaining the field data of a first device; establishing a first object according to the field data to obtain a first result; and analyzing the first result to obtain a dangerous source list for maintenance. According to the method, through a quantitative risk assessment model, the assessment accuracy and practicability are improved, and the operation safety of the nuclear power plant is ensured. And performing quantitative analysis on the occurrence probability and potential consequences of each hazard source by applying a probability theory and a statistical method, and formulating targeted management and response measures.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power plant safety management, and in particular to a method and system for assessing on-site hazard sources in a nuclear power plant. Background Art

[0002] Nuclear power plants are important energy production facilities, and their operation involves a variety of complex equipment and systems, such as steam generators, reactor cooling systems, main pumps, nuclear fuel assemblies and pressure vessels. These equipment play a key role in the operation of nuclear power plants, and their normal operation directly affects the safety and stability of nuclear power plants. However, the high complexity and high risk of nuclear power plants make the monitoring and management of their potential hazards crucial. There are many potential hazards in the operation of nuclear power plants, which may cause serious safety accidents. At present, nuclear power plants mostly use risk assessment methods based on historical records and expert experience, combined with qualitative and quantitative analysis tools to identify and manage hazards. Common risk assessment methods include risk assessment methods based on standard processes, experience judgment, fault tree analysis, event tree analysis, etc. These methods can identify and reduce risks to a certain extent, but they have limitations in practical applications, such as slow response to changes in equipment status, limited and static data sources, lack of comprehensive quantitative analysis, and difficulty in reflecting the real-time status of hazards in complex operating environments.

[0003] Existing risk assessment methods mostly rely on static data and manual experience, which makes it difficult to fully cope with the dynamic changes in the operating status of various equipment in nuclear power plants. At the same time, the assessment results of existing methods mostly rely on subjective judgments of human factors and lack precise quantitative basis, resulting in insufficient accuracy and reliability of the assessment results. In addition, there are many types of hazardous sources in nuclear power plants and they change frequently. Existing risk management methods are usually unable to adjust control measures in a timely manner, making it difficult to form a systematic and dynamic risk assessment and management mechanism. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing hazard source assessment methods mostly focus on qualitative analysis and lack effective quantitative assessment means, resulting in insufficient accuracy and reliability of the assessment results.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for assessing on-site hazard sources of a nuclear power plant, comprising:

[0007] Acquiring field data of the first device;

[0008] Establish a first object according to the field data and obtain a first result;

[0009] Analyze the first result and obtain a list of hazardous sources for maintenance.

[0010] As a preferred solution of the method for assessing on-site hazard sources in a nuclear power plant according to the present invention, the obtaining of on-site data of the first equipment includes using a sensor to collect on-site operating data of the first equipment in the nuclear power plant in real time.

[0011] As a preferred solution of the method for evaluating on-site hazard sources in a nuclear power plant according to the present invention, the establishing of the first object according to on-site data includes establishing the first object according to on-site operation data for risk assessment.

[0012] As a preferred solution of the nuclear power plant on-site hazard source assessment method described in the present invention, the establishing of the first object based on on-site data also includes that the first object is independently assessed and used in combination with a yes / no judgment method and an LEC method.

[0013] As a preferred solution of the method for evaluating on-site hazard sources in a nuclear power plant according to the present invention, obtaining the first result includes taking the high risk level obtained by the risk evaluation of the first object as the first result.

[0014] As a preferred solution of the method for evaluating on-site hazardous sources in nuclear power plants described in the present invention, the analyzing the first result includes analyzing the first result, conducting risk assessment on the hazardous sources, and forming a hazardous source list.

[0015] As a preferred solution of the nuclear power plant on-site hazard source assessment method described in the present invention, the hazard source list obtained for maintenance includes determining existing and subsequent control measures, maintaining the hazard source list, and setting up an inspection plan for on-site supervision and inspection management.

[0016] As a preferred solution of the nuclear power plant on-site hazard source assessment system of the present invention, it includes: a data acquisition module, a risk assessment module, and a hazard source analysis module;

[0017] The data acquisition module is responsible for real-time acquisition, data transmission and preprocessing of various operating status data of the first equipment of the nuclear power plant using sensors, and transmitting them to the data processing module;

[0018] The risk assessment module establishes a first object based on the acquired field data to conduct risk assessment. The risk assessment can be conducted using the right or wrong judgment method and the LEC method respectively, and the assessment results are combined and used to form a complete risk assessment model;

[0019] The hazard source analysis module analyzes the first result generated by the risk modeling and assessment module to form a hazard source list, and maintains and updates the list based on the analysis results.

[0020] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a method for assessing on-site hazard sources in a nuclear power plant.

[0021] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for assessing on-site hazard sources in a nuclear power plant.

[0022] The beneficial effects of the present invention are: through the quantitative risk assessment model, the accuracy and practicality of the assessment are improved to ensure the safe operation of nuclear power plants. By using probability theory and statistical methods, the probability of occurrence and potential consequences of each hazard source are quantitatively analyzed, and targeted management and response measures are formulated. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0024] Figure 1 An overall flow chart of a method for assessing on-site hazards in a nuclear power plant provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0026] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a method for assessing on-site hazard sources in a nuclear power plant, comprising:

[0027] S1: Acquire the on-site data of the first device.

[0028] Furthermore, the obtaining of the on-site data of the first device includes using a sensor to collect on-site operation data of the first device of the nuclear power plant in real time.

[0029] In an embodiment of the present application, the first device may be a key device in a nuclear power plant, such as a steam generator, a reactor cooling system, a main pump, a nuclear fuel assembly or a pressure vessel.

[0030] Furthermore, using sensors to collect real-time on-site operating data of the above equipment is an important means of risk assessment. These sensors may include temperature sensors, pressure sensors, vibration sensors, flow sensors, radiation monitoring devices, etc., which can record the operating status, working parameters and environmental changes of the equipment in real time.

[0031] In an optional embodiment, obtaining the field data of the first device may also be remote data collection and transmission, where after the field sensor collects the data, the real-time data is transmitted to a central data management system or a monitoring center via wireless transmission or wired transmission. Optionally, an encrypted transmission protocol is used to ensure the security and integrity of the data during transmission.

[0032] It should be noted that by processing and analyzing these data, detailed and reliable quantitative basis can be provided for risk assessment, thus improving the accuracy and reliability of the assessment.

[0033] S2: Establish a first object according to the field data to obtain a first result.

[0034] Furthermore, establishing the first object according to the field data includes establishing the first object according to the field operation data to perform risk assessment.

[0035] The first object can be a risk assessment model. The data preprocessing module preprocesses the collected raw data, including data cleaning, denoising, outlier removal and data formatting to ensure the accuracy and consistency of the data. The risk levels of the yes / no judgment method and LEC method modules are output respectively. Comprehensive risk assessment results: Compare and take the higher risk level of the two methods as the comprehensive output result of the model. The model can generate the final risk level result according to the set rules to guide risk management measures.

[0036] In the embodiment of the present application, establishing the first object according to the field data may be that the first object is independently evaluated by a yes / no judgment method and a LEC method and used in combination.

[0037] Yes or No Judgment Method: Site / equipment conditions and risk levels can be directly determined based on relevant management and technical requirements. Determine the site or equipment conditions and identify the specific site or equipment that needs to be risk assessed. Collect information such as the operating environment conditions, operating procedures, and safety management requirements of the site or equipment. Match management and technical requirements, and compare site conditions with relevant safety management standards and industry technical specifications. If the conditions meet or partially meet the relevant management requirements, determine the risk level based on the gap in management requirements. If the equipment operating conditions fully meet the standards, the risk may be rated as low; if there are non-compliance conditions, the risk may be rated as high or significant.

[0038] LEC method probability risk assessment method: evaluate the safety risk level by determining the product of the index values ​​of three factors related to the risk rate of the operating conditions (hazard score D = L × E × C). The three factors are:

[0039] L——Probability of an accident; E——How often the human body is exposed to a dangerous environment; C——Possible losses or consequences of an accident. The index values ​​of each factor are shown in Table 1-Table 4:

[0040] Table 1 Probability of an accident (L)

[0041]

[0042]

[0043] Table 2 Frequency of human exposure to hazardous environments (E)

[0044] Frequency Fractional value Frequency Fractional value Continuous exposure 10 Exposure once a month 2 Exposure during daily working hours 6 Exposure several times a year 1 Weekly or occasional exposure 3 Very rare exposure 0.5

[0045] Table 3 Possible losses or consequences of accidents (C)

[0046] as a result of Fractional value as a result of Fractional value Great disaster, many people died 100 Serious, severe injury, 7 Disaster, several deaths 40 Serious, disabling, 3 Very serious, one death, 15 Minor injury, need emergency treatment 1

[0047] Table 4 Risk level classification

[0048] D value Risk level D value Risk level ＞320 Significant risks 20—70 Low risk 160—320 High risk ＜20 Negligible risk 70—160 Medium risk

[0049] In an optional embodiment, the first object can be established based on the field data by constructing a multi-level model to decompose the complex risk assessment problem into several relatively simple parts, and using the expert scoring method to score and weight each risk factor to quantitatively assess the risk level. Applicable scenarios: used for systematic risk assessment under the influence of multidimensional factors. Construct a hierarchical model, including a target layer, a criterion layer, and a solution layer. Determine the relative importance weight of each factor through expert scoring or data calculation. Calculate the total risk score through the weighted summation method.

[0050] The obtaining of the first result includes taking the high risk level obtained by the risk assessment of the first object as the first result. Result of the yes / no judgment method: directly obtain the risk level, which may be "significant risk", "high risk", "medium risk", "low risk" or "negligible risk". Result of the LEC method: the D value obtained by calculation is divided into risk levels according to predetermined standards, which may be "significant risk", "high risk", "medium risk", "low risk" or "negligible risk".

[0051] Furthermore, the two evaluation results are compared to compare the risk levels obtained by the yes / no judgment method and the LEC method. The results of each method are generated separately, representing different dimensions of risk.

[0052] Furthermore, to determine the high risk level, the higher risk level obtained from the two evaluation methods is taken as the first result. The specific rules are as follows:

[0053] Furthermore, if the risk level obtained by the non-judgment method is "high risk" and the risk level obtained by the LEC method is "medium risk", "high risk" is taken as the first result. If the results of the two methods are the same, the level is directly taken as the first result. In any case, the higher risk level is preferred to ensure the rigor and reliability of risk assessment.

[0054] Furthermore, the first result is output, and the high risk level is used as the final first result. This result will be used for subsequent hazard source list generation and management work to guide the implementation of further risk control and mitigation measures.

[0055] It should be noted that real-time operating data is obtained from sensors of equipment or places. This includes data such as temperature, pressure, vibration frequency, working hours and environmental conditions. The first object for risk assessment is established based on the collected data. The first object is a comprehensive representation of the equipment or place, which is used for subsequent risk analysis.

[0056] Example 2, reference Figure 1 , which is an embodiment of the present invention, provides a method for assessing on-site hazard sources in a nuclear power plant, comprising:

[0057] S3: Analyze the first result and obtain a list of hazardous sources for maintenance.

[0058] Furthermore, the analyzing the first result includes analyzing the first result, conducting a risk assessment on the hazard sources, and forming a hazard source list.

[0059] In an embodiment of the present application, analyzing the first result, conducting risk assessment on the hazard source, and forming a hazard source list may be to determine existing and subsequent control measures after conducting risk assessment on the hazard source, and form a hazard source list, specifically including:

[0060] Step 1, determine the existing control measures, for each hazard source, identify and summarize the risk control measures currently in place. These control measures may include engineering and technical measures (such as improving equipment structure or adding protective devices), management measures (such as rules and regulations, personnel training, etc.) and personal protection measures (such as safety protective clothing and equipment).

[0061] Step 2: Record the effectiveness and implementation of existing control measures to ensure full understanding of current measures. Develop follow-up control measures. For the major risks and high-risk hazards identified, develop targeted follow-up control measures to reduce their risk levels. These measures may include:

[0062] Step 3: Improvement of equipment design or technology. Upgrade of management measures: such as increasing the frequency of training, strengthening safety regulations, etc. Strengthening of monitoring: improving real-time monitoring capabilities to ensure dynamic tracking and monitoring of high-risk sources. Subsequent control measures should be coordinated with existing measures to form a systematic and comprehensive risk control plan.

[0063] Step 4: Form a list of hazard sources. All hazard sources are sorted into a hazard source list. Each hazard source contains the following information: name, risk level, description, existing control measures, subsequent control measures, etc. Hazard sources are color-coded according to different risk levels: major risk (red), high risk (orange), medium risk (yellow), low risk (blue), and negligible risk (green). Color coding helps to intuitively identify risks of different levels so that major and high risk sources can be dealt with first.

[0064] In an optional embodiment, the risk assessment of hazardous sources and the formation of a list of hazardous sources can also be carried out by constructing a hierarchical model of risk assessment and defining the target layer: clarifying the overall goal of risk assessment. Usually in the risk assessment of hazardous sources in nuclear power plants, the target layer is "comprehensive risk assessment of hazardous sources". Determine the criterion layer: according to the assessment objectives, divide the main factors or criteria that affect the risk assessment. For the assessment of hazardous sources in nuclear power plants, the following factors may be included:

[0065] Probability of an accident: the possibility of an accident occurring in a device or location. Exposure: the frequency with which people or the environment are exposed to a hazard. Severity of consequences: the possible consequences of an accident. Effectiveness of existing control measures: the degree to which the implemented control measures affect the risk. Determine the solution level: list the specific hazards that need to be evaluated, such as specific equipment, specific operating procedures, etc.

[0066] Furthermore, the list of hazardous sources obtained for maintenance includes determining existing and subsequent control measures, maintaining the list of hazardous sources, and setting up an inspection plan for on-site supervision and inspection management. Risk assessment summary, after conducting a risk assessment on on-site equipment or sites, classify the risk level of each hazardous source, which can be a major risk, high risk, medium risk, low risk, or negligible risk.

[0067] Maintain the hazard list, set up inspection plans for on-site supervision and inspection management, maintain the hazard list, update the hazard list regularly, and record changes in hazards after each risk assessment.

[0068] Re-label the hazardous sources whose risk level has been reduced, and record the updated control measures and implementation status. During the maintenance process, the control measures for each hazardous source need to be evaluated to ensure their effectiveness.

[0069] Develop a regular inspection plan to ensure that all hazards are periodically monitored and managed. The inspection plan may include: Daily inspection: Regular on-site inspections to ensure the implementation of basic risk control measures. Regular inspections: More in-depth inspections every week, month or quarter. Special inspections: Special inspections under special conditions (such as abnormal equipment operation, emergency conditions, etc.). When developing an inspection plan, it is necessary to clarify the content of the inspection, the person in charge, the frequency and the inspection method.

[0070] It should be noted that during the on-site inspection, the implementation of control measures and risk status are verified item by item against the hazard list. Digital management tools or manual recording of inspection results are used to ensure the tracking and traceability of all inspection data. Measures are taken in a timely manner for existing problems or new risk sources based on the inspection results, and the hazard list and control measures are adjusted when necessary.

[0071] Example 3: The following is an embodiment of the present invention, which provides a method for evaluating on-site hazard sources in a nuclear power plant. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0072] In order to verify the effect of the present invention in the on-site hazard source assessment of nuclear power plants, the on-site data of the first equipment of the nuclear power plant were first selected. Sensors were used to collect the operating data of the equipment in real time, including the operating temperature, pressure, vibration frequency, environmental conditions and maintenance records of the equipment. After data collection, the data was input into the simulation test model to build a digital model. The risk level was independently evaluated using the yes-no judgment method and the LEC method through the risk assessment module, and the higher risk level was used as the final risk level.

[0073] The specific process is as follows: A steam generator, a main equipment with high operating risk in a nuclear power plant, was selected. The data collected by the on-site sensors include equipment operating temperature (unit: °C), operating pressure (unit: MPa), vibration frequency (unit: Hz), operating time (unit: hours), ambient temperature (unit: °C), and equipment maintenance cycle (unit: days).

[0074] A digital model of the nuclear power plant's "steam generator" is established in professional simulation software, and a simulated operating environment is set. The model's parameter settings are based on actual operating data, including parameters such as temperature, pressure, and equipment vibration. Input simulation data and input the initial data of the equipment operation through the simulation platform

[0075] Based on the data collected above, the initial risk assessment was conducted using the yes-no judgment method, and the risk level was determined directly based on the equipment management requirements and relevant standards, and the safety of the equipment operation status was determined in combination with the actual on-site operation conditions. Subsequently, the LEC method was used for a more detailed quantitative analysis, and the hazard score D was calculated by determining the index values ​​of three factors related to the risk rate of the operating conditions, namely the probability of accident occurrence (L), the frequency of human exposure (E), and the consequences of the accident (C).

[0076] Calculation process: The probability of an accident L (3 according to actual historical data, i.e. possible but not frequent), exposure frequency E (regular weekly inspection by on-site operators, set to 3), and accident consequence C (may cause serious damage, set to 7) were determined. The D value is calculated according to the formula D = L × E × C. Risk classification and color marking: Risk classification is performed according to the D value and risk level classification standards, and different color risk markings are applied to the equipment according to the degree of risk, such as red for major risks, etc., to form a list of hazardous sources.

[0077] List maintenance and supervision and inspection: Follow up maintenance of the formed hazard source list, formulate regular inspection plans, and combine on-site supervision and management measures to reduce the possibility of risk and ensure safe operation. Some simulation experiment results are shown in Data Table 5.

[0078] Table 5 Simulation experiment results data table

[0079]

[0080] As can be seen from the table, the risk of steam generator equipment is quantitatively assessed and graded using the nuclear power plant site hazard source assessment method of the present invention. For steam generator A, the calculated D value is 63, which belongs to the low risk level, while the D value of steam generator F is 216, which belongs to the high risk level. It can be seen that the present invention can accurately distinguish the risk levels of different equipment by combining the right and wrong judgment method with the LEC method, thereby improving the accuracy and effectiveness of risk assessment.

[0081] Compared with the prior art, the innovation of the present invention lies in the simultaneous use of two evaluation methods and taking the higher risk level for comprehensive judgment, thus avoiding the underestimation of risk that may be caused by a single method. In addition, by comprehensively collecting and analyzing the real-time data of the equipment, dynamic monitoring and management of hazardous sources are achieved, significantly improving the safety management and control capabilities of nuclear power plant equipment. In the prior art, the monitoring of hazardous sources is usually relatively static and cannot fully reflect the actual operating status and risk changes of the equipment. The present invention makes equipment management more efficient and accurate through big data-driven risk assessment and flexible list maintenance.

[0082] Embodiment 4: The following is an embodiment of the present invention, which provides a nuclear power plant on-site hazard source assessment system, including a data acquisition module, a risk assessment module, and a hazard source analysis module.

[0083] The data acquisition module is responsible for using sensors to collect, transmit and pre-process various operating status data of the first equipment of the nuclear power plant in real time, and transmit it to the data processing module.

[0084] The risk assessment module establishes a first object based on the acquired field data to conduct risk assessment. The risk assessment can be conducted using the yes / no judgment method and the LEC method respectively, and the assessment results are combined and used to form a complete risk assessment model.

[0085] The hazard source analysis module analyzes the first result generated by the risk modeling and assessment module to form a hazard source list, and maintains and updates the list based on the analysis results.

[0086] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0087] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0088] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0089] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0090] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for assessing on-site hazard sources in a nuclear power plant, characterized in that: include: Acquiring field data of the first device; Establish a first object according to the field data and obtain a first result; Analyze the first result and obtain a list of hazardous sources for maintenance.

2. The method for assessing on-site hazard sources in a nuclear power plant according to claim 1, characterized in that: The obtaining of the on-site data of the first device includes using a sensor to collect on-site operation data of the first device of the nuclear power plant in real time.

3. The method for assessing on-site hazard sources in a nuclear power plant according to claim 2, characterized in that: The establishing of the first object according to the field data includes establishing the first object according to the field operation data to conduct risk assessment.

4. The method for assessing on-site hazard sources in a nuclear power plant according to claim 3, characterized in that: The establishing of the first object according to the field data also includes that the first object is independently evaluated by a yes / no judgment method and a LEC method and used in combination.

5. The method for assessing on-site hazard sources in a nuclear power plant according to claim 4, characterized in that: Obtaining the first result includes taking a high risk level obtained by risk evaluation of the first object as the first result.

6. The method for assessing on-site hazard sources of a nuclear power plant according to claim 5, characterized in that: The analyzing the first result includes analyzing the first result, conducting risk assessment on the hazard sources, and forming a hazard source list.

7. The method for assessing on-site hazard sources in a nuclear power plant according to claim 6, characterized in that: Obtaining the hazard list for maintenance includes determining existing and subsequent control measures, maintaining the hazard list, and setting up an inspection plan for on-site supervision and inspection management.

8. A system using the method for assessing on-site hazard sources in a nuclear power plant as claimed in any one of claims 1 to 7, characterized in that: Including data collection module, risk assessment module, and hazard source analysis module; The data acquisition module is responsible for real-time acquisition, data transmission and preprocessing of various operating status data of the first equipment of the nuclear power plant using sensors, and transmitting them to the data processing module; The risk assessment module establishes a first object based on the acquired field data to conduct risk assessment. The risk assessment can be conducted using the right or wrong judgment method and the LEC method respectively, and the assessment results are combined and used to form a complete risk assessment model; The hazard source analysis module analyzes the first result generated by the risk modeling and assessment module to form a hazard source list, and maintains and updates the list based on the analysis results.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for assessing on-site hazards of a nuclear power plant as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for assessing on-site hazards of a nuclear power plant described in any one of claims 1 to 7 are implemented.

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