An intelligent auxiliary decision-making system and method for severe accident management guidelines of nuclear power plants

Abstract

The present invention relates to an intelligent auxiliary decision-making system and method for severe accident management guidelines of nuclear power plants. The system includes: a data interface and processing module, an intelligent diagnosis module for the status of nuclear power plants, an intelligent auxiliary decision-making module for severe accident management guidelines, a database module for severe accident management guidelines, and an information online transmission module. The present invention, through the data interface with the nuclear power plant, monitors in real time the equipment status and instrument parameters related to the severe accident management of the power plant, and provides a real-time and intuitive status display for management personnel. The present invention uses a digital and intelligent status diagnosis table of the nuclear power plant to automatically diagnose the status of the nuclear power plant and gives an alarm to prompt the execution of corresponding severe accident management sub-guidelines; automatically judges the availability of equipment related to severe accident management according to the collected data and judgment criteria, and assists severe accident management personnel in making evaluation decisions. The present invention can send the decision form online for approval by the emergency general commander and transmit it to the main control room personnel to guide the implementation of severe accident management operations.

Description

Technical Field

[0001] The present invention belongs to the technical field of nuclear power plant design, and particularly relates to an intelligent auxiliary decision-making system and method for a severe accident management guideline of a nuclear power plant. Background Art

[0002] The severe accident management guideline (SAMG) of a nuclear power plant is the main tool to effectively exert the design performance of the nuclear power plant, integrate various resources of the nuclear power plant, return the nuclear power plant to a controllable and stable state under severe accident conditions, and reduce or mitigate the accident consequences. The use effect of SAMG will directly affect the actual effect of severe accident management of the nuclear power plant.

[0003] At present, in the application practice of SAMG, it is found that there are many guideline documents and frequent execution jumps. The severe accident management guidelines of domestic and foreign nuclear power plants mostly adopt paper documents, with low browsing efficiency and difficult content positioning. Due to the complexity and uncertainty of severe accidents in nuclear power plants, the state parameters of nuclear power plants change rapidly and the amount of information is large. At present, the severe threat state tree (SCST) and the diagnostic flow chart (DFC) are mostly used for nuclear power plant state diagnosis in severe accident management. Severe accident management personnel need to sequentially judge each state parameter of the nuclear power plant and execute the diagnostic process in a loop, resulting in untimely diagnosis. A large number of equipment and instruments are required for severe accident management of nuclear power plants. Personnel need time to think about the evaluation of the availability of nuclear power plant equipment and the negative effects of strategy implementation, and two people need to cooperate. One person executes the guideline and the other monitors the instruments, which increases the execution difficulty of severe accident management personnel and slows down the rhythm of severe accident management. In addition, adverse factors such as the tense mood of severe accident management personnel under accident conditions will also cause difficulties in the implementation of the severe accident management guideline or cause deviations in the implementation of the severe accident management guideline.

[0004] In response to this problem, some domestic and foreign design units and power plants have tried to develop SAMG-related software, and good practical results have been achieved in the electronic application of SAMG in the second-generation nuclear power technology reactor type, but there is still a long way to go in its intelligence.

[0005] The United States began to research intelligent severe accident management systems as early as the 1990s and developed corresponding software. Later, other countries such as Japan and South Korea also made similar attempts. At that time, the degree of attention to severe accidents in various countries was not enough, and the application of these systems was not extensive. The Spanish company TECNATOM, a nuclear power safety technology service company, also electronically processed the general SAMG of second-generation nuclear power technology, but there is still a lack of adaptive practice for specific power plants. After the Fukushima nuclear accident, the prevention and mitigation of severe accidents have once again become the focus of attention at home and abroad. Coupled with the wave of intelligent manufacturing globally, the research on SAMG intelligent auxiliary decision-making systems has emerged again internationally.

[0006] Therefore, according to the latest design features of domestic nuclear power plants, it is an urgent problem to be solved at present to propose an intelligent tool that enables the severe accident managers of nuclear power plants to carry out severe accident management more conveniently and efficiently. Summary of the Invention

[0007] The purpose of the present invention is to provide an intelligent auxiliary decision-making system and method for the severe accident management guidelines of nuclear power plants. In view of the design features of domestic reactor types, the data of the DCS platform of nuclear power plants are fully utilized, and digital and intelligent means are adopted to diagnose and make treatment decisions for severe accidents in nuclear power plants.

[0008] The technical solution of the present invention is as follows: An intelligent auxiliary decision-making system for the severe accident management guidelines of nuclear power plants, comprising:

[0009] A data interface and processing module, configured to obtain the equipment status information data related to the severe accident management of nuclear power plants and the nuclear power plant monitoring instrument data, and perform logical processing and display on the data;

[0010] A nuclear power plant status intelligent diagnosis module, configured to diagnose the status of the nuclear power plant by using a variety of parameters that can reflect the severe accident status of the nuclear power plant according to the logically processed data, and prompt to execute the corresponding severe accident management sub-guidelines;

[0011] A severe accident management guidelines intelligent auxiliary decision-making module, configured to diagnose the availability of relevant equipment, perform alarm for faulty equipment and confirm the execution strategy;

[0012] A severe accident management guidelines database module, configured to store all the content of the severe accident management guidelines, the information of the equipment related to the severe accident, the monitoring instruments, the division of user roles and the permission management information;

[0013] An information online transmission module, configured to generate a decision form according to the evaluation decision of the severe accident manager, send the decision form to the emergency general commander for approval online and transmit it to the main control room personnel online to guide the implementation of the severe accident management operation.

[0014] Further, for the intelligent auxiliary decision-making system for the severe accident management guidelines of nuclear power plants as described above, the data obtained by the data interface and processing module includes the real data collected from the nuclear power plant in real time, or the simulated data imported from the nuclear power plant simulator, or the data manually input.

[0015] Further, for the intelligent auxiliary decision-making system for the severe accident management guidelines of nuclear power plants as described above, the variety of parameters that can reflect the severe accident status of the nuclear power plant include: primary loop pressure, water level in the insulation layer of the reactor pressure vessel, steam generator water level, core outlet temperature, hot leg water level, on-site fission products, containment pressure, and hydrogen concentration in the containment.

[0016] Furthermore, for the intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant as described above, in the nuclear power plant status diagnosis table, the status parameter values of the nuclear power plant are displayed in real time and automatically compared with the parameter set values, and corresponding severe accident management sub-guidelines are prompted through sound and / or color alarms.

[0017] Furthermore, different execution priorities of sub-guidelines can be represented by highlighting in different colors. The execution priorities of the sub-guidelines are SCG-1, SCG-2, SCG-3, SCG-4, SAG-1, SAG-2, SAG-3, SAG-4, SAG-5, SAG-6, and SAG-7 in sequence.

[0018] Furthermore, for the intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant as described above, the intelligent auxiliary decision-making module for the severe accident management guidelines includes an equipment availability intelligent diagnosis table, a system flow chart screen, and a parameter list;

[0019] The equipment availability intelligent diagnosis table automatically diagnoses the availability of relevant equipment based on the logically processed data and corresponding logical judgment criteria;

[0020] The system flow chart screen is used to display the status of equipment related to severe accident management and the values of monitoring instruments, and can perform alarm for faulty equipment and confirm the correct implementation of strategies;

[0021] The parameter list is used to quickly obtain the parameter values of the monitoring instruments, so as to confirm the limiting conditions for implementing different strategies and the evaluation of the effects after the implementation of the strategies.

[0022] Furthermore, for the intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant as described above, the user roles in the severe accident management guidelines database module include administrators, Technical Support Center (TSC) personnel, main control room personnel, and trainees; different permissions are assigned in the system according to different roles.

[0023] The decision-making method using the above intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant includes:

[0024] Obtain the equipment status information data and nuclear power plant monitoring instrument data related to the severe accident management of the nuclear power plant, and perform logical processing and display on the data;

[0025] Diagnose the status of the nuclear power plant using a nuclear power plant status diagnosis table according to the logically processed data through various parameters that can reflect the severe accident status of the nuclear power plant, and prompt the execution of corresponding severe accident management sub-guidelines;

[0026] Diagnose the availability of relevant equipment according to the logically processed data, perform alarm for faulty equipment, and confirm the execution of strategies.

[0027] Generate a decision form based on the assessment and decision of the severe accident management personnel, and send the emergency general commander for approval of the decision form online and transfer it online to the main control room personnel to guide the implementation of severe accident management operations.

[0028] Furthermore, the decision-making method as described above, wherein

[0029] Use the equipment availability intelligent diagnosis form to automatically diagnose the availability of relevant equipment according to the logically processed data and the corresponding logical judgment criteria;

[0030] Use the system flow chart screen to display the status of equipment related to severe accident management and the values of monitoring instruments, and perform fault equipment alarms and confirm the correct implementation of the confirmation strategy;

[0031] Use the parameter list to quickly obtain the parameter values of the monitoring instruments, so as to confirm the limiting conditions for implementing different strategies and the evaluation of the effects after the strategies are implemented.

[0032] The beneficial effects of the present invention are as follows:

[0033] 1) The present invention integrates the latest design features of domestic nuclear power plants, uses the nuclear power plant status diagnosis form PDT to diagnose the status of nuclear power plants in real time and intelligently, and prompts to jump to the corresponding severe accident management sub-guidelines, providing fast and intuitive support for the severe accident management of nuclear power plants;

[0034] 2) The present invention uses the nuclear power plant data information to monitor the parameter instruments and equipment status in real time, and automatically judges the availability of equipment related to severe accident management according to the collected data;

[0035] 3) The present invention can greatly reduce the work pressure of severe accident management personnel in nuclear power plants, effectively improve the efficiency of severe accident management personnel in dealing with severe accidents, and thus improve the ability of nuclear power plants to respond to severe accidents;

[0036] 4) The design concept of the present invention is universal and can be applied to operating units and subsequent newly built units. Description of the Drawings

[0037] Figure 1 It is a schematic diagram of the composition of the intelligent auxiliary decision-making system for the severe accident management guidelines of the nuclear power plant of the present invention;

[0038] Figure 2 It is a schematic diagram of the nuclear power plant status diagnosis form in the embodiment of the present invention;

[0039] Figure 3 It is a schematic diagram of the equipment availability intelligent diagnosis form in the embodiment of the present invention;

[0040] Figure 4 It is a schematic diagram of the execution interface of the severe accident management guidelines in the embodiment of the present invention;

[0041] Figure 5 This is a schematic diagram of the system process screen in the embodiment of the present invention;

[0042] Figure 6 This is a schematic diagram of the overall equipment screen in the embodiment of the present invention. Detailed implementation manners

[0043] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0044] The present invention provides an intelligent auxiliary decision-making system for the severe accident management guidelines of nuclear power plants, as Figure 1 shown, which includes a data interface and processing module, a nuclear power plant status intelligent diagnosis module, a severe accident management guidelines intelligent auxiliary decision-making module, a severe accident management guidelines database module, and an information online transmission module.

[0045] The data source of the data interface and processing module can collect real data of the nuclear power plant in real time, import simulation data of the nuclear power plant simulator, or manually input data; the data types include equipment status information related to the severe accident management of the nuclear power plant and the numerical values of the nuclear power plant monitoring instruments; according to the characteristics of different data, after necessary logical processing, the value-taking logic shown in the following table is used to intuitively display the status of the nuclear power plant through the system interface.

[0046] Monitoring parameter Value-taking logic Primary circuit pressure <![CDATA[y = INTER-VALIDATION x i > Water level in the insulation layer of the reactor pressure vessel y = x Steam generator water level y = x Core outlet temperature <![CDATA[y = MAX x i > Hot leg water level <![CDATA[y = MIN x i > Field fission products <![CDATA[y = SECOND MAX x i > Containment pressure <![CDATA[y = INTER-VALIDATION x i > Containment hydrogen concentration <![CDATA[y = MAX x i >

[0047] wherein, x i is the measured values of multiple monitoring instruments; the INTER-VALIDATION function is to take the average value of the effective values after removing the bad points of multiple instruments.

[0048] The nuclear power plant status intelligent diagnosis module is based on the data processed by the data interface and processing module logic, and through a variety of parameters that can reflect the severe accident status of the nuclear power plant, uses a nuclear power plant status diagnosis table (PDT) to intelligently diagnose the status of the nuclear power plant and issue sound and color alarms to prompt the execution of corresponding severe accident management sub-guidelines. Among them, the parameters reflecting the severe accident status of the nuclear power plant include primary loop pressure, water level in the insulation layer of the reactor pressure vessel, steam generator water level, core outlet temperature, hot leg water level, on-site fission products, containment pressure, containment hydrogen concentration and other parameters.

[0049] The nuclear power plant status diagnosis table displays the nuclear power plant status parameter values in real time and automatically compares them with the parameter set values to prompt the execution of the guidelines, as Figure 2As shown, the nuclear power plant status diagnosis table uses a more intuitive way to display relevant information. After the measured value of a certain parameter in the PDT table exceeds the set value, the corresponding implementation guidelines will be highlighted. For example, the SAG guidelines are highlighted in yellow, and the SCG guidelines are highlighted in red, indicating that the implementation priority of the SCG guidelines is higher than that of the SAG guidelines. When multiple guidelines are highlighted simultaneously, the implementation priority of the guidelines is SCG-1, SCG-2, SCG-3, SCG-4, SAG-1, SAG-2, SAG-3, SAG-4, SAG-5, SAG-6, SAG-7.

[0050] The intelligent auxiliary decision-making module for the severe accident management guidelines includes an intelligent diagnosis table for equipment availability, a system flow chart screen, and a parameter list.

[0051] Based on the data processed through logic and the corresponding logic judgment criteria, this module automatically diagnoses the availability of relevant equipment through the intelligent diagnosis table for equipment availability, as Figure 3 shown.

[0052] This module uses the system flow chart screen to display the status of equipment related to severe accident management and the values of monitoring instruments for each subsystem, and can perform alarm for faulty equipment and confirm the correct implementation of the strategy.

[0053] This module uses the parameter list to quickly obtain the parameter values of the monitoring instruments, so as to confirm the limiting conditions for implementing different strategies and the evaluation of the effects after the implementation of the strategies.

[0054] The database module for the severe accident management guidelines includes all the content of the severe accident management guidelines, information on equipment related to severe accidents, monitoring instruments, and information such as the division of user roles and permission management. User roles include administrators, TSC personnel in the technical support center, main control room personnel, and trainees. Different permissions are assigned in the system according to different roles.

[0055] The information online transmission module automatically generates a decision form based on the assessment and decision of severe accident management personnel, and sends the decision form to the emergency general commander for approval online and transmits it to the main control room personnel online to guide the implementation of severe accident management operations.

[0056] Embodiment

[0057] This embodiment provides an intelligent auxiliary decision-making system for severe accident management guidelines based on advanced domestic nuclear power units. In this embodiment, the data sources of the data interface and processing module can collect real data of the nuclear power plant in real time, import simulation data of the nuclear power plant simulator, or manually input data; the data types include equipment status information related to severe accident management in the nuclear power plant and the values of monitoring instruments in the nuclear power plant; according to the characteristics of different data, after necessary logical processing, the status of the nuclear power plant is intuitively displayed through the system interface.

[0058] For a certain parameter, several monitoring instruments in the DCS system of a nuclear power plant measure simultaneously, and the display value is determined according to the measured value of the DCS system through the corresponding value-taking logic. This step is automatically processed in the background of the intelligent auxiliary decision-making system for the severe accident management guidelines of the nuclear power plant. Examples of the value-taking logic are as follows:

[0059] Monitoring parameter Value-taking logic Primary circuit pressure <![CDATA[y = INTER-VALIDATION x i > Water level in the insulation layer of the reactor pressure vessel y = x Steam generator water level y = x Core outlet temperature <![CDATA[y = MAX x i > Hot leg water level <![CDATA[y = MIN x i > Field fission products <![CDATA[y = SECOND MAX x i > Containment pressure <![CDATA[y = INTER-VALIDATION x i > Containment hydrogen concentration <![CDATA[y = MAX x i >

[0060] where x i is the measured values of multiple monitoring instruments; the INTER-VALIDATION function is to take the average value of the effective values after removing bad points from multiple instruments.

[0061] There are various forms for the intuitive display of the nuclear power plant status: numerical display, trend graph display, parameter list display, system flow chart screen display, and overview screen display.

[0062] In this embodiment, the intelligent diagnosis module for the nuclear power plant status is based on the data after logical processing, and through various parameters that can reflect the severe accident status of the nuclear power plant, it intelligently diagnoses the nuclear power plant status using the nuclear power plant status diagnosis table (PDT), and issues sound and color alarms to prompt the execution of the corresponding severe accident management sub-guidelines.

[0063] As Figure 2 shown, based on the digital characteristics of the intelligent auxiliary decision-making system for the severe accident management guidelines, an integrated intelligent solution, the nuclear power plant status diagnosis table PDT, is proposed to realize the intelligent diagnosis of the power plant status. According to the current severe accident management guidelines system, the PDT table is divided into three levels: SCG, SAG, and SAEG. When a parameter value exceeds the set value, the system automatically prompts the sub-guidelines that need to be executed, and gives red and yellow alarm prompts according to the priority, and clicking enters the corresponding sub-guidelines. When a certain sub-guideline is being executed and other status parameters exceed the set value, the status alarm at the top of the page will also give red and yellow alarm prompts, and the TSC personnel will decide whether to suspend the currently executed sub-guideline and execute other guidelines according to the priority. When there is no alarm prompt, the SAEG-1 long-term supervision guideline is executed. When the measured values in the parameter trend graph at the lower part of the page are all stable below the yellow line, the SAEG-2 termination guideline is executed.

[0064] In this embodiment, the intelligent auxiliary decision-making module for the severe accident management guidelines includes a parameter list, an intelligent diagnosis table for equipment availability, and a system flow chart screen.

[0065] As Figure 3As shown, this module automatically diagnoses the availability of relevant equipment based on the logically processed data and corresponding logical judgment criteria. For the data transmitted through the data interface, according to the judgment criteria on the left side of the diagnosis table, it automatically determines whether the availability of a single device is "yes" or "no". All the devices in a vertical column form a complete execution strategy. When the availability of all devices in a vertical column is judged as "yes", then this strategy is available, and the corresponding information will be transmitted to the subsequent execution steps. When at least one device in a vertical column is judged as "no" in terms of availability, then this strategy is unavailable, and the relevant information of this strategy will be automatically blocked from execution in the subsequent execution steps. The above judgment process is automatically processed by the system background logic without the need for manual confirmation of each device one by one.

[0066] As Figure 4 shown, this module uses the parameter list on the right side of the interface to quickly obtain the parameter values of the monitoring instruments, so as to confirm the limiting conditions for executing different strategies and the evaluation of the effects after the strategies are executed.

[0067] If there is an unavailable device, it can be linked to the system flowchart screen. As Figure 5 shown, this module uses the system flowchart screen to display the status of the equipment related to severe accident management and the numerical values of the monitoring instruments by subsystem. According to the alarm prompt, it locates the faulty device and guides the on-site operator to locate the fault and repair the equipment. In addition, it can also confirm the correct implementation of the strategy through the system flowchart screen.

[0068] In this embodiment, the severe accident management guideline database module includes all the contents of the severe accident management guidelines, information on the equipment related to severe accidents, monitoring instruments, the division of user roles, and permission management, etc.

[0069] The specific content of the severe accident management guidelines is as Figure 4 shown in the middle. The information on the equipment related to severe accidents and monitoring instruments is displayed on the overview screen. Examples of the division of user roles and permission allocation are as follows:

[0070] Scope of authority Administrator TSC user Main control room operator Trainee SACRG √ √ √ SAG √ √ SCG √ √ SAGE √ √ CA √ √ Spent fuel pool guidelines √ √ Equipment and plant status √ √ √ User management √ MT √ √ OP √ √ ME √ √

[0071] For the convenience of carrying out SAMG drills and training, the administrator can set the device status and parameter values on the device overview screen (as Figure 6 shown) and the parameter overview screen respectively to provide an operation scenario for severe accident management personnel and trainees.

[0072] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, in any regard, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

[0073] In addition, it should be understood that although this specification is described in terms of embodiments, not every embodiment only contains an independent technical solution. This narrative manner of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. An intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant, characterized in that, it includes: A data interface and processing module, which is used to obtain the equipment status information data related to the severe accident management of the nuclear power plant and the nuclear power plant monitoring instrument data, and perform logical processing and display on the data; The intelligent nuclear power plant status diagnosis module is used to diagnose the nuclear power plant status according to the logically processed data, through a variety of parameters that can reflect the severe accident status of the nuclear power plant, and use the nuclear power plant status diagnosis table to diagnose the nuclear power plant status. The nuclear power plant status diagnosis table displays the nuclear power plant status parameter values in real time, and automatically compares them with the parameter set values, and gives an alarm through sound and / or color to prompt the execution of the corresponding severe accident management sub-guidelines; the nuclear power plant status diagnosis table represents the execution priorities of different sub-guidelines through high-light display of different colors. When a parameter value exceeds the set value, the system automatically prompts the sub-guidelines that need to be executed, and gives an alarm prompt in red and yellow respectively according to the priority, and clicks to enter the corresponding sub-guideline; when a certain sub-guideline is being executed and other status parameters exceed the set value, the status alarm at the top of the page will also give an alarm prompt in red and yellow, and the TSC personnel will decide whether to suspend the sub-guideline being executed and execute other guidelines according to the priority; The intelligent auxiliary decision-making module for the severe accident management guidelines is used to diagnose the availability of relevant equipment, perform alarm for faulty equipment and confirm the execution strategy; The severe accident management guidelines database module is used to store all the content of the severe accident management guidelines, information on severe accident-related equipment and monitoring instruments, and information on the division of user roles and permission management; The information online transmission module is used to generate a decision form according to the evaluation decision of the severe accident management personnel, send the decision form online for approval by the emergency general commander and transmit it online to the main control room personnel to guide the implementation of severe accident management operations.

2. The intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant according to claim 1, characterized in that, The data obtained by the data interface and processing module includes real-time collected real data of the nuclear power plant, or imported simulation data of the nuclear power plant simulator, or manually input data.

3. The intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant according to claim 1, characterized in that, The various parameters that can reflect the severe accident status of the nuclear power plant include: primary loop pressure, water level in the insulation layer of the reactor pressure vessel, steam generator water level, core outlet temperature, hot leg water level, on-site fission products, containment pressure, containment hydrogen concentration.

4. The intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant according to claim 1, characterized in that, The execution priorities of the sub-guidelines are SCG-1, SCG-2, SCG-3, SCG-4, SAG-1, SAG-2, SAG-3, SAG-4, SAG-5, SAG-6, SAG-7 in sequence.

5. The intelligent auxiliary decision-making system for the severe accident management guidelines of a nuclear power plant according to claim 1, characterized in that, The intelligent auxiliary decision-making module for the severe accident management guidelines includes an equipment availability intelligent diagnosis table, a system flow chart screen, and a parameter list; Automatically diagnose the availability of relevant equipment according to the logically processed data and corresponding logical judgment criteria by using the equipment availability intelligent diagnosis table; Use the system flow chart screen to display the status of equipment related to severe accident management and the values of monitoring instruments, and can perform fault equipment alarms and confirm the correct implementation of strategies; Use the parameter list to quickly obtain the parameter values of the monitoring instruments, so as to confirm the limiting conditions for implementing different strategies and the evaluation of the effects after strategy implementation.

6. The intelligent auxiliary decision-making system for severe accident management guidelines of a nuclear power plant as described in claim 1, characterized in that, The user roles in the severe accident management guidelines database module include administrators, Technical Support Center (TSC) personnel, main control room personnel, and trainees; different permissions are assigned in the system according to different roles.

7. A decision-making method using the intelligent auxiliary decision-making system for severe accident management guidelines of a nuclear power plant as described in any one of claims 1-6, characterized in that, including, Obtain the equipment status information data related to severe accident management of a nuclear power plant and the data of nuclear power plant monitoring instruments, and perform logical processing and display of the data; According to the logically processed data, diagnose the status of the nuclear power plant by using a nuclear power plant status diagnosis table through various parameters that can reflect the severe accident status of the nuclear power plant. The nuclear power plant status diagnosis table displays the nuclear power plant status parameter values in real time, and automatically compares them with the parameter set values. Through sound and / or color alarms, it prompts to execute the corresponding severe accident management sub-guidelines; the nuclear power plant status diagnosis table represents the execution priorities of different sub-guidelines through highlighted displays of different colors. When a parameter value exceeds the set value, the system automatically prompts the sub-guidelines that need to be executed, and alarms and prompts in red and yellow respectively according to the priorities. Click to enter the corresponding sub-guidelines; when a certain sub-guideline is being executed and other status parameters exceed the set value, the status alarms at the top of the page will also alarm and prompt in red and yellow. The TSC personnel will decide whether to suspend the sub-guideline being executed and execute other guidelines according to the priorities; Diagnose the availability of relevant equipment according to the logically processed data, perform fault equipment alarms and confirm the implementation of strategies; Generate a decision form according to the evaluation decision of severe accident management personnel, send the decision form online for approval by the emergency general commander and transfer it online to the main control room personnel to guide the implementation of severe accident management operations.

8. The intelligent auxiliary decision-making method for severe accident management guidelines of a nuclear power plant as described in claim 7, characterized in that, Automatically diagnose the availability of relevant equipment according to the logically processed data and corresponding logical judgment criteria by using the equipment availability intelligent diagnosis table; Use the system flow chart screen to display the status of equipment related to severe accident management and the values of monitoring instruments, and perform fault equipment alarms and confirm the correct implementation of strategies; Use the parameter list to quickly obtain the parameter values of the monitoring instruments, so as to confirm the limiting conditions for implementing different strategies and the evaluation of the effects after strategy implementation.

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