CN119292205A

CN119292205A - Nuclear power plant control model construction method, electronic equipment, and storage medium

Info

Publication number: CN119292205A
Application number: CN202411333074.7A
Authority: CN
Inventors: 王春冰; 平嘉临; 卢超; 毛万朝; 段奇志; 郭景任; 秦戈
Original assignee: China Nuclear Power Engineering Co Ltd
Current assignee: China Nuclear Power Engineering Co Ltd
Priority date: 2024-09-24
Filing date: 2024-09-24
Publication date: 2025-01-10

Abstract

The present application relates to the field of nuclear power modeling technology, and in particular to a method, electronic device, and storage medium for constructing a nuclear power plant control model. The method for constructing a nuclear power plant control model of the present application requires first obtaining the control logic diagram and modeling requirement information of the target nuclear power plant control system; performing simulation requirement analysis on the control logic diagram based on the modeling requirement information to determine the simulation implementation constraints; then performing function block icon analysis on the control logic diagram to determine multiple target modeling elements, and performing function block identification analysis on the control logic diagram to determine simulation fixed value parameters and parameter transfer relationships, and generating a transmission point-to-point file; based on the simulation implementation constraints on multiple target modeling elements, generating a simulation control diagram; based on the simulation control diagram, simulation fixed value parameters, transmission point-to-point files, and parameter transfer relationships, the model is loaded to generate a nuclear power plant control model. In this way, the quality and efficiency of the nuclear power plant engineering simulator in the nuclear power plant control model modeling link can be improved.

Description

Nuclear power plant control model construction method, electronic equipment and storage medium

Technical Field

The application relates to the technical field of nuclear power modeling, in particular to a nuclear power plant control model construction method, electronic equipment and a storage medium.

Background

The control logic diagram is a meter control logic diagram which visually expresses a certain system or equipment by using icon symbols, connecting wires and the like. It may be used to describe the logical relationships between controllers, sensors, actuators in a control system, including input, output, processing, and control. The nuclear power plant control model is a key component of a nuclear power plant engineering simulator and is mainly used for simulating the response and logic of a nuclear power plant control system and interaction with other systems (such as a reactor core model and a process model).

In some related technologies, a one-to-one mapping modeling method is used to construct a control model of a nuclear power plant, and this method needs to analyze a control logic diagram of an actual control system of the nuclear power plant in detail and map the model diagram in the control model of the nuclear power plant. In other related technologies, the construction of a control model of a nuclear power plant is realized by writing codes, that is, a control model diagram of the nuclear power plant is manually converted into a computer language, and executable codes are generated by compiling.

The problems of the related art are mainly low modeling efficiency, difficulty in ensuring accuracy, difficulty in troubleshooting problems, and insufficient maintainability and flexibility of the model. These problems limit the need for rapid and accurate modeling of the control model of the nuclear power plant and also affect the quality and efficiency of the nuclear power plant engineering simulator in the modeling link of the control model of the nuclear power plant.

Disclosure of Invention

The present application aims to solve at least one of the technical problems existing in the prior art. Therefore, the application provides a nuclear power plant control model construction method, electronic equipment and a storage medium, which can improve the quality and efficiency of a nuclear power plant engineering simulator in a modeling link of the nuclear power plant control model.

According to an embodiment of the first aspect of the application, a method for constructing a control model of a nuclear power plant comprises the following steps:

acquiring a control logic diagram and modeling demand information of a target nuclear power plant control system;

Performing simulation demand analysis on the control logic diagram based on the modeling demand information, and determining simulation realization constraint;

performing functional block icon analysis on the control logic diagram to determine a plurality of target modeling elements;

performing function block identification analysis on the control logic diagram, and determining simulation fixed value parameters required to be configured by each target modeling element and parameter transfer relations among each target modeling element;

constraining a plurality of the target modeling elements based on the simulation implementation, and generating a simulation control diagram corresponding to the target nuclear power plant control system;

generating a transmission point file based on the parameter transfer relation among the target modeling elements;

And loading a model based on the simulation control diagram, the simulation constant value parameter, the transmission point file and the parameter transfer relation, and generating a nuclear power plant control model corresponding to the target nuclear power plant control system.

According to some embodiments of the application, each of the target modeling elements is configured with corresponding element attribute information and pin connection information, and after the model loading is performed based on the simulation control graph, the simulation constant value parameter, the transmission point file and the parameter transfer relation, generating a nuclear power plant control model corresponding to the target nuclear power plant control system, the method further comprises:

Identifying the target modeling element which needs to be set with a reference state in the nuclear power plant control model, and determining a target configuration element;

generating a reference working condition setting file based on the element attribute information and the pin connection information configured by each target configuration element;

and loading the reference working condition setting file to the nuclear power plant control model to set the reference working condition of the nuclear power plant control model.

According to some embodiments of the application, the generating a reference condition setting file based on the element attribute information and the pin connection information configured by each target configuration element includes:

Determining the element type of the target configuration element based on the element attribute information and the pin connection information;

generating element setting information corresponding to the target configuration element based on the element type;

and integrating the element setting information corresponding to each target configuration element to obtain the reference working condition setting file.

According to some embodiments of the application, the element types include a device driver type, a group control type, a fixed value type, a bistable trigger type, and an alarm type;

The generating element setting information corresponding to the target configuration element based on the element type includes:

marking the target configuration element of the device driving type as a manual state or an automatic state, and determining a corresponding default value;

Selecting a corresponding group mode for the target configuration element of the group control type;

aiming at the target configuration element of the constant value type, configuring an internal preset driving mode or an external signal driving mode;

setting a reference output signal state for the target configuration element of the bistable trigger type;

And generating trigger setting information aiming at the target configuration element of the alarm type.

According to some embodiments of the application, the marking the target configuration element for the device driver type as either a manual state or an automatic state, and determining a corresponding default value, comprises:

Setting a corresponding reference driving state for the target configuration element of the equipment driving type, wherein the reference driving state comprises a manual state or an automatic state;

After setting the corresponding reference driving state for the target configuration element, configuring the corresponding default value for the target configuration element based on a preset initialization configuration parameter.

According to some embodiments of the application, the selecting a corresponding group mode for the target configuration element of the group control type includes:

acquiring group control requirement information aiming at each target configuration element of the group control type;

And configuring the corresponding grouping mode by each target configuration element of the grouping control type based on the grouping control requirement information.

According to some embodiments of the application, the configuring the corresponding group mode by each of the target configuration elements of the group control type based on the group control requirement information includes:

responding to the group control requirement information as a sequential operation requirement, and determining a sequential control mode as the group mode corresponding to each target configuration element;

Responding to the group control requirement information as parallel operation requirement, and determining a parallel control mode as the group mode corresponding to each target configuration element;

responding to the group control requirement information as a redundant operation requirement, and determining a redundant control mode as the group mode corresponding to each target configuration element;

And responding to the group control requirement information as a load balancing operation requirement, and determining a load distribution control mode as the group mode corresponding to each target configuration element.

According to some embodiments of the application, the target configuration element for the constant type is configured as an internal preset driving mode or an external signal driving mode, and includes:

determining a signal driving type of the target configuration element based on a preset initialization configuration parameter aiming at the target configuration element of the constant type;

Responding to the signal driving type as the internal preset driving mode, and configuring corresponding internal limiting parameters, element response characteristics and internal driving control logic for the target configuration element;

And responding to the signal driving type as the external signal driving mode, and configuring a corresponding signal external path and a corresponding signal external interface for the target configuration element.

According to some embodiments of the application, the setting a reference output signal state for the target configuration element of the bistable trigger type comprises:

And setting a reference output signal state for the target configuration element of the bistable trigger type based on a preset initialization configuration parameter.

According to some embodiments of the application, before the performing functional block icon parsing on the control logic diagram to determine a plurality of target modeling elements, the method further includes:

determining a control icon library and a modeling element library;

performing icon attribute analysis on each logic control icon of the control icon library to obtain a map Fu Yuzhi attribute corresponding to each logic control icon;

Performing element attribute analysis on each simulation modeling element of the modeling element library to obtain element preset attributes corresponding to each simulation modeling element;

Generating conversion mapping relations between each logic control icon and each simulation modeling element based on the matching relations between each map Fu Yuzhi attribute and each element preset attribute;

the performing functional block icon parsing with respect to the control logic diagram, determining a plurality of target modeling elements, includes:

Performing icon recognition on the control logic diagram, and determining the logic control icon contained in the control logic diagram as a target conversion icon;

And inquiring the simulation modeling element corresponding to each target conversion icon in the modeling element library based on the conversion mapping relation, and determining the inquired simulation modeling element as the target modeling element.

According to some embodiments of the application, before the querying the simulation modeling element corresponding to each target conversion icon in the modeling element library based on the conversion mapping relationship, and determining the queried simulation modeling element as the target modeling element, the method further includes:

Extracting icon configuration information corresponding to each target conversion icon from a source file of the control logic diagram in response to the control logic diagram being of an editable type;

And inquiring the simulation modeling element corresponding to each target conversion icon in the modeling element library through the conversion mapping relation by taking the icon configuration information corresponding to each target conversion icon as an index, and determining the inquired simulation modeling element as the target modeling element.

In response to the control logic diagram being of a non-editable type, inputting the control logic diagram into a pre-trained icon analysis model to perform icon analysis on the control logic diagram, and determining icon configuration information corresponding to each target conversion icon;

According to some embodiments of the present application, the performing function block identifier parsing on the control logic diagram, determining a simulation constant value parameter required to be configured by each target modeling element, and a parameter transfer relationship between each target modeling element, includes:

performing function block identification analysis on the control logic diagram to determine a fixed value identification corresponding to each target conversion icon and an association identification between each target conversion icon;

Determining the simulation constant value parameters to be configured for each target modeling element based on the constant value identifiers corresponding to each target conversion icon;

and determining the parameter transfer relation between the target modeling elements based on the association identification between the target conversion icons.

In a second aspect, an embodiment of the present application provides an electronic device, including a memory, and a processor, where the memory stores a computer program, and the processor implements the method for building a control model of a nuclear power plant according to any one of the embodiments of the first aspect of the present application when executing the computer program.

In a third aspect, an embodiment of the present application provides a computer readable storage medium storing a program, where the program is executed by a processor to implement the method for constructing a control model of a nuclear power plant according to any one of the embodiments of the first aspect of the present application.

According to the nuclear power plant control model construction method, the electronic equipment and the storage medium, the nuclear power plant control model construction method at least has the following beneficial effects:

According to the nuclear power plant control model construction method, a control logic diagram and modeling requirement information of a target nuclear power plant control system are required to be acquired first, further simulation requirement analysis is conducted on the control logic diagram based on the modeling requirement information, simulation realization constraint is determined, functional block icon analysis is conducted on the control logic diagram, a plurality of target modeling elements are determined, functional block identification analysis is conducted on the control logic diagram, simulation fixed value parameters required to be configured by the target modeling elements and parameter transfer relations among the target modeling elements are determined, further simulation control diagrams corresponding to the target nuclear power plant control system are generated based on the simulation realization constraint on the plurality of target modeling elements, transmission files are generated based on the parameter transfer relations among the target modeling elements, and finally model loading is conducted on the basis of the simulation fixed value parameters, the transmission files and the parameter transfer relations of the simulation fixed value diagrams, and the simulation fixed value parameters, and finally a nuclear power plant control model corresponding to the target nuclear power plant control system is generated. Therefore, the quality and efficiency of the nuclear power plant engineering simulator in the modeling link of the nuclear power plant control model can be improved.

Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.

Drawings

The foregoing and/or additional aspects and advantages of the application will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:

FIG. 1 is a schematic flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

FIG. 2 is another flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

FIG. 3 is another flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

FIG. 4 is another schematic flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

FIG. 5 is another schematic flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

FIG. 6 is another schematic flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

FIG. 7 is another schematic flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

FIG. 8 is another flow chart of a method for constructing a control model of a nuclear power plant according to an embodiment of the present application;

fig. 9 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.

Detailed Description

Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.

In the description of the present application, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.

In the description of the present application, it should be understood that the direction or positional relationship indicated with respect to the description of the orientation, such as up, down, left, right, front, rear, etc., is based on the direction or positional relationship shown in the drawings, is merely for convenience of describing the present application and simplifying the description, and does not indicate or imply that the apparatus or element to be referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application.

In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

In the description of the present application, unless explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present application can be determined reasonably by a person skilled in the art in combination with the specific content of the technical solution. In addition, the following description of specific steps does not represent limitations on the order of steps or logic performed, and the order of steps and logic performed between steps should be understood and appreciated with reference to what is described in the embodiments.

First, some terms related to the present application will be explained:

Control logic diagram the control logic diagram is a meter control logic diagram for visually expressing a certain system or equipment by using icon symbols, connecting wires and the like. It may be used to describe the logical relationships between controllers, sensors, actuators in a control system, including input, output, processing, and control. Control logic diagrams are commonly used in engineering and development processes to facilitate a designer's better understanding and analysis of the operating principles and flows of a control system.

Nuclear power plant control model the nuclear power plant control model in the nuclear power plant engineering simulator is a key component and is mainly used for simulating the control system of the nuclear power plant. It can simulate the response, logic and interactions of the control system with other systems (e.g., core model, process model). The control model of a nuclear power plant is generally modeled based on drawings (control logic diagrams) provided by a design unit. These drawings reflect the basic control design principles but may not contain detailed algorithm variable names or specific details of inter-component data transfer. Modeling engineers of the engineering simulator need to use universal basic components of a simulation platform to realize the construction of a control model of the nuclear power plant according to the design drawings and by combining understanding and experience of the engineering engineers.

In some related technologies, a one-to-one mapping modeling method is used to construct a control model of a nuclear power plant, and this method needs to analyze a control logic diagram of an actual control system of the nuclear power plant in detail and map the model diagram in the control model of the nuclear power plant. Although this approach enables the construction of a model, it is inefficient and prone to omission and accuracy problems during the modeling process. Since this method relies on manual mapping and analysis, it is not only time-consuming and labor-consuming to process complex control logic, but also difficult to ensure accuracy and integrity of the model.

In other related technologies, the construction of a control model of a nuclear power plant is realized by writing codes, that is, a control model diagram of the nuclear power plant is manually converted into a computer language, and executable codes are generated by compiling. Although the method can generate a nuclear power plant control model, the modeling workload is huge, and once problems occur, the method is very difficult to find and correct. Furthermore, since this approach is non-graphical, great difficulties are encountered in later modification or upgrading of the control model of the nuclear power plant, which limits the flexibility and maintainability of the model.

In a comprehensive view, the problems of the related technology mainly comprise low modeling efficiency, difficult guarantee of accuracy, difficult problem investigation and insufficient maintainability and flexibility of the model. These problems limit the need for rapid and accurate modeling of the control model of the nuclear power plant and also affect the quality and efficiency of the nuclear power plant engineering simulator in the modeling link of the control model of the nuclear power plant.

The following is a further description based on the accompanying drawings.

Referring to fig. 1, a method for constructing a control model of a nuclear power plant according to an embodiment of the present application may include:

Step S101, a control logic diagram and modeling requirement information of a target nuclear power plant control system are obtained;

Step S102, carrying out simulation demand analysis on a control logic diagram based on modeling demand information, and determining simulation realization constraint;

step S103, carrying out function block icon analysis on the control logic diagram to determine a plurality of target modeling elements;

Step S104, carrying out function block identification analysis on the control logic diagram, and determining simulation fixed value parameters required to be configured by each target modeling element and parameter transfer relations among each target modeling element;

step S105, restraining a plurality of target modeling elements based on simulation realization, and generating a simulation control diagram corresponding to a target nuclear power plant control system;

step S106, generating a transmission point-to-point file based on the parameter transfer relation among the target modeling elements;

and step S107, loading a model based on the simulation control diagram, the simulation fixed value parameters, the transmission point files and the parameter transfer relation, and generating a nuclear power plant control model corresponding to the target nuclear power plant control system.

The nuclear power plant control model construction method shown in the steps S101 to S107 of the embodiment of the application needs to acquire a control logic diagram and modeling requirement information of a target nuclear power plant control system, further analyzes the simulation requirement of the control logic diagram based on the modeling requirement information to determine simulation realization constraint, then analyzes functional block icons of the control logic diagram to determine a plurality of target modeling elements, analyzes functional block identifiers of the control logic diagram to determine simulation fixed value parameters required to be configured by each target modeling element and parameter transfer relations among the target modeling elements, further constrains the plurality of target modeling elements based on simulation realization to generate a simulation control diagram corresponding to a target nuclear power plant control system, generates a transmission point file based on the parameter transfer relations among the target modeling elements, and finally loads a model based on the simulation control diagram, the simulation fixed value parameters, the transmission point file and the parameter transfer relations to generate a nuclear power plant control model corresponding to the target nuclear power plant control system. Therefore, the quality and efficiency of the nuclear power plant engineering simulator in the modeling link of the nuclear power plant control model can be improved.

Step S101 of some embodiments, obtaining a control logic diagram and modeling requirement information of a target nuclear power plant control system;

It should be noted that, obtaining the control logic diagram and modeling requirement information of the target nuclear power plant control system is the starting point of the entire modeling process. The control logic diagram is the core of the control system design of the nuclear power plant, and graphically details the control logic and operation flow of the system, wherein the control logic diagram comprises functional block icons of various control elements, such as sensors, controllers, actuators and the like, as well as connection relations and interactions among the control elements. The control logic diagram may not only show the normal operating state of the system, but may also contain descriptions of exception handling and security measures.

It should be noted that the modeling requirement information is a specific requirement for building a nuclear power plant control model for a target nuclear power plant control system, and defines performance criteria and functional targets that the nuclear power plant control model needs to achieve. Modeling requirement information may include modeling accuracy, response time, stability, scalability, etc. Modeling requirement information may also include information related to specific simulation scenarios, such as normal operation, fault simulation, emergency response, etc.

In the process of obtaining control logic diagrams and modeling requirement information, detailed analysis and understanding are required. First, the integrity and accuracy of the control logic diagram must be ensured, as it is the basis for constructing the control model of the nuclear power plant. Secondly, modeling demand information needs to be matched with actual running conditions and expected targets of the nuclear power plant so as to ensure that a control model of the nuclear power plant can truly reflect the behavior and performance of the system. Based on this, after step S101, the following steps S102, S103, and S104 need to be performed.

Step S102 of some embodiments performs simulation demand resolution on the control logic diagram based on the modeling demand information, and determines a simulation implementation constraint.

It should be noted that, performing simulation demand analysis on the control logic diagram based on the modeling demand information is a key link, which ensures that the control model of the nuclear power plant can meet the actual operation demand of the control system of the nuclear power plant. The core task of this step is to analyze the control logic diagram and extract therefrom the constraints that the control model of the nuclear power plant must adhere to.

First, simulation demand parsing requires parsing modeling demand information, which may include performance metrics, operation modes, safety standards, etc. of the control system of the nuclear power plant. These modeling requirement information provide targets and directions for the construction of a control model of the nuclear power plant.

Further, the embodiment of the application needs to convert the requirements into specific simulation implementation constraints, and the simulation implementation constraints can be used for constraining the functional block icon calling mode, the connection information implementation mode, the text description information implementation mode and the like of the control model of the nuclear power plant.

In the parsing process, embodiments of the present application need to identify key components and flows in the control logic diagram, determine how they should be represented and implemented in the nuclear power plant control model. For example, for a particular control logic, embodiments of the present application need to determine which parameters are critical, how they should be set, and how they actually affect the simulated performance of the overall target nuclear power plant control system. In addition, it is also necessary to determine abnormal conditions and boundary conditions to ensure that the nuclear power plant control model can operate stably under various expected conditions inside and outside.

Determining simulation implementation constraints may also include performing a learning of logical relationships and control flows in the control logic graph to determine how these logical relationships affect the behavior of the target nuclear power plant control system and to determine how accurately these logics are implemented in the nuclear power plant control model, such as to determine how the control algorithm is implemented in the nuclear power plant control model, the data transfer mechanism, and how interactions between the various portions of the simulation in the nuclear power plant control model.

It should be appreciated that simulation implementation constraints will be used in subsequent modeling steps to ensure that the generated control model of the nuclear power plant not only theoretically meets the requirements of the control logic diagram, but also in practical applications can be matched to the operational requirements of the control system of the nuclear power plant. Through the step, the practicability and reliability of the control model of the nuclear power plant can be improved, and powerful support is provided for engineering design, operation and maintenance of the nuclear power plant.

Step S103 of some embodiments, performing functional block icon parsing for the control logic diagram to determine a plurality of target modeling elements;

it should be noted that, performing functional block icon analysis on the control logic diagram is a crucial link, which directly affects the construction quality and efficiency of the control model of the nuclear power plant. The core objective of this step is to identify and determine the basic elements, i.e. functional block icons, that constitute the control model of the nuclear power plant.

It should be noted that the functional block diagrams are basic constituent elements in the control logic diagram, and they represent various components in the control system of the target nuclear power plant, such as sensors, controllers, actuators, and the like. Each function block icon has its specific functions and attributes, such as input-output interfaces, control logic, parameter settings, etc. In the parsing process, all the functional block icons in the control logic diagram need to be identified first, including their type, location, connection mode, and their role in the target nuclear power plant control system.

The embodiment of the application needs to analyze the functional block icons of the control logic diagram so as to accurately identify each functional block icon and understand the roles and the mutual relations of the functional block icons in the system. Among these are not only analysis of the icons themselves, but also analysis of the logical connections between the icons to ensure that these connections and interactions can be accurately reproduced in the nuclear power plant control model.

After the function block icons are determined, the next step is to determine the manifestations of these icons in the nuclear power plant control model. This may include details of the properties of the icon, such as the type of input-output signal, the particular implementation of the control logic, default values and adjustment ranges for the parameters, and so forth. In addition, it is desirable to determine how to map these function block icons into the nuclear plant control model so that they can be conveniently used and adjusted during the modeling process.

Optimization and adjustment of the function block icons can also be included in the parsing process to adapt to the specific requirements of the nuclear power plant control model. For example, certain icons may be merged or split to simplify the model structure or to improve simulation efficiency. And meanwhile, the expandability and maintainability of the control model of the nuclear power plant can be determined, so that the functional block icons can be conveniently adjusted and updated when the model needs to be updated or upgraded.

It should be understood that the functional block icon parsing of step S103 is the basis for constructing a high quality nuclear power plant control model. Through the step, the nuclear power plant control model can be ensured to accurately reflect the design intention of the control logic diagram, and a solid foundation is provided for subsequent simulation realization and verification.

Referring to fig. 2, before performing functional block icon parsing with respect to the control logic diagram in step S103 to determine a plurality of target modeling elements according to an embodiment of the present application, the method may further include:

step S201, determining a control icon library and a modeling element library;

Step S202, performing icon attribute analysis on each logic control icon of the control icon library to obtain a map Fu Yuzhi attribute corresponding to each logic control icon;

Step S203, analyzing element attributes of each simulation modeling element of the modeling element library to obtain element preset attributes corresponding to each simulation modeling element;

Step S204, based on the matching relation between the attributes of each graph Fu Yuzhi and the preset attributes of each element, generating a conversion mapping relation between each logic control icon and each simulation modeling element;

Step S103 performs functional block icon parsing with respect to the control logic diagram, and determines a plurality of target modeling elements, which may include:

step S205, carrying out icon recognition on the control logic diagram, and determining logic control icons contained in the control logic diagram as target conversion icons;

Step S206, inquiring simulation modeling elements corresponding to each target conversion icon in a modeling element library based on the conversion mapping relation, and determining the inquired simulation modeling elements as target modeling elements.

Step S201 of some embodiments entails determining a library of control icons and a library of modeling elements. The control icon library contains logic control icons used in the control logic diagram, and the modeling element library contains simulation modeling elements that can be used for simulation modeling. These two libraries are the basis for the parsing process, and they provide the necessary resources for subsequent attribute parsing and mapping relationship establishment.

In step S202 of some embodiments, the icon attribute analysis is performed on each logic control icon in the control icon library, where the purpose of this step is to obtain the map Fu Yuzhi attribute of each logic control icon. These map Fu Yuzhi attributes may include the function of the icon, input-output interfaces, parameter settings, etc., which define the role and nature of the icon in the control logic.

Step S203 of some embodiments performs element attribute analysis on each simulation modeling element in the modeling element library to obtain a preset attribute of each simulation modeling element. These element preset attributes are similar to the map Fu Yuzhi attributes, but are for simulation environments, including the behavior, interaction patterns, etc. of the simulation modeling elements in the nuclear power plant control model.

Step S204 of some embodiments generates a conversion mapping relationship between the logic control icon and the simulation modeling element. The method comprises the steps of matching the icons in the control icon library with elements in the modeling element library, ensuring that each logic control icon can be mapped to a corresponding simulation modeling element in the modeling element library, and determining the mapping relation as a conversion mapping relation.

In step S205 of some embodiments, icon recognition is required for the control logic diagram, and the logic control icon included in the control logic diagram is determined as the target transition icon.

Referring to fig. 3, according to an embodiment of the present application, before querying a simulation modeling element corresponding to each target conversion icon in a modeling element library based on the conversion mapping relationship and determining the queried simulation modeling element as the target modeling element in step S206, the method may further include:

Step S301, extracting icon configuration information corresponding to each target conversion icon from a source file of the control logic diagram in response to the control logic diagram being an editable type;

In step S302, the simulation modeling element corresponding to each target conversion icon is queried in the modeling element library through the conversion mapping relationship by using the icon configuration information corresponding to each target conversion icon as an index, and the queried simulation modeling element is determined as the target modeling element.

Step S301 of some embodiments, in response to the control logic diagram being of an editable type, means that details of the control logic diagram, including but not limited to attributes, parameters, connection means, etc. of the icon may be directly accessed. Therefore, the embodiment of the application can directly extract the icon configuration information related to each target conversion icon in the source file of the control logic diagram. This direct extraction method improves the accuracy and efficiency of information acquisition because it avoids parsing or identifying the configuration information of the icon by indirect means.

Step S302 of some embodiments queries in a modeling element library using the icon configuration information extracted from the source file as an index through a previously established conversion mapping relationship. This query process is to find a simulation modeling element in the library of modeling elements that matches each target transition icon in the control logic diagram. The conversion mapping relationship serves as a bridge to link the icon configuration information of the control logic diagram with the simulation modeling elements in the modeling element library. The queried simulation modeling elements are then determined as target modeling elements, which ensures that the nuclear power plant control model accurately reflects the design intent of the control logic diagram.

The conversion from the control logic diagram to the control model of the nuclear power plant is both direct and reliable via steps S301 to S302 of the embodiment of the present application. By directly extracting information from the source file and combining the conversion mapping relation to carry out accurate query, the process furthest reduces errors and inconsistencies possibly occurring in the conversion process. The method not only improves the efficiency of model construction, but also ensures the quality and reliability of the control model of the nuclear power plant.

Referring to fig. 4, according to an embodiment of the present application, before querying a simulation modeling element corresponding to each target conversion icon in a modeling element library based on the conversion mapping relationship and determining the queried simulation modeling element as the target modeling element in step S206, the method may further include:

Step S401, in response to the control logic diagram being of a non-editable type, inputting the control logic diagram into a pre-trained icon analysis model to perform icon analysis on the control logic diagram and determine icon configuration information corresponding to each target conversion icon;

step S402, taking the icon configuration information corresponding to each target conversion icon as an index, inquiring the simulation modeling element corresponding to each target conversion icon in a modeling element library through a conversion mapping relation, and determining the inquired simulation modeling element as a target modeling element.

In the embodiment provided by the application, a series of steps are implemented to ensure that necessary information can be accurately extracted from the control logic diagram and converted into simulation modeling elements aiming at the situation that the control logic diagram is not editable. The key to this process is to use a pre-trained icon parsing model to handle non-editable control logic diagrams.

In step S401 of some embodiments, the control logic diagram, because it is of a non-editable type, cannot directly extract icon configuration information from the source file. Therefore, the entire control logic diagram needs to be input into a pre-trained symbol parsing model. The icon analysis model is responsible for carrying out deep analysis on the control logic diagram, identifying each logic control icon in the diagram, and extracting icon configuration information corresponding to the target conversion icon. Such information may include types of icons, functions, parameter settings, etc., providing the necessary data support for subsequent determination of simulation modeling elements.

It should be noted that the icon resolution model is a tool specifically designed to understand and interpret icons in a control logic diagram. The model can be realized based on machine learning and artificial intelligence technology, can automatically identify and analyze various icon elements in the control logic diagram, and can play a role even if the control logic diagram is not editable.

The construction and training process of the icon resolution model involves a lot of data and expertise. First, a number of control logic graph samples need to be collected, which should be representative, covering various different types of icons and configurations. These samples are then used to train the model so that it can identify and classify the icons in the graph, learn the characteristics and properties of the icons. In the training process, the model can continuously optimize the algorithm so as to improve the accuracy and reliability of recognition. Once training is completed, the icon resolution model can accept the new control logic diagram as input, automatically performing the icon resolution task. The model analyzes the input chart, identifies the icon elements therein, and extracts configuration information, such as type, function, parameters, etc., for each icon. This information can then be used to build a mapping between the control logic diagram and the control model of the nuclear power plant, providing data support for the determination of the simulation modeling elements. It should be appreciated that the advantage of the icon resolution model is its automation and intelligence features. The method reduces the need of manually reading the control logic diagram, reduces the error rate and improves the analysis efficiency. Furthermore, since the model can handle non-editable charts, it expands the application scope of simulation modeling, so that more types of control logic diagrams can be used for construction of the control model of the nuclear power plant.

Step S402 of some embodiments then uses the icon configuration information obtained in step S401 as an index to query in the modeling element library by converting the mapping relationship. This query process is to find simulation modeling elements that match each target transition icon in the control logic diagram. The conversion map here associates the icon configuration information derived from the icon resolution model with the simulation modeling elements in the modeling element library. The queried simulation modeling elements are then determined as target modeling elements, which ensures that the nuclear power plant control model accurately reflects the design intent and logic structure of the control logic diagram.

Through steps S401 to S402 of the embodiment of the present application, it is allowed to accurately perform determination of simulation modeling elements even in the case where the control logic diagram is not editable. The control logic diagram is processed by using the icon analysis model, and then the accurate query is performed by combining the conversion mapping relation, so that the efficiency of model construction is improved, and the quality and reliability of the control model of the nuclear power plant are ensured. The method is particularly suitable for processing the control logic diagrams which cannot be directly edited or accessed to the source file, and provides an effective solution for the simulation of the control system of the nuclear power plant.

Step S206 of some embodiments queries a modeling element library for simulation modeling elements corresponding to each target conversion icon based on the previously established conversion mapping relationship. The queried simulation modeling element will be determined to be the target modeling.

Through the embodiment of the application shown in the steps S201 to S206, a systematic and standardized icon analysis flow is formed in the whole process from the determination of a control icon library and a modeling element library to the generation of a conversion mapping relation, the identification of a functional block icon and the determination of a target modeling element. The method not only improves the icon analysis efficiency, but also is beneficial to improving the quality and accuracy of the nuclear power plant control model generated in the follow-up step, and provides a solid foundation for the simulation of the nuclear power plant control system.

Step S104 of some embodiments, performing function block identification analysis on the control logic diagram, and determining simulation constant value parameters required to be configured by each target modeling element and parameter transfer relations among each target modeling element;

It should be noted that the function block identification parses the simulation constant value parameters required for determining each target modeling element and the parameter transfer relationship between these elements.

Firstly, the embodiment of the application needs to identify the identification of each functional block in the control logic diagram so as to determine the specific parameters required to be set in the control model of the nuclear power plant by the corresponding functional block. These parameters may include settings, thresholds, gains, time constants, etc., that determine the behavior and performance of the target modeling element corresponding to the functional block in the simulation environment. For example, a target modeling element for a controller function may need to configure its proportional gain (P), integral gain (I), and derivative gain (D) parameters to implement a particular control strategy.

In the parsing process, detailed descriptions of the properties and behavior of the target modeling elements are required, which may include interpretation of notes, tags, and chart symbols in the control logic diagram. In addition, the parameter transfer relationship in the nuclear power plant control model can be matched with the logic relationship in the actual target nuclear power plant control system through the identification and definition of interfaces and interaction modes between the functional blocks.

In the control system of the target nuclear power plant, information and data need to be exchanged between different functional blocks to realize cooperative work. For example, the sensor may send measurements to the controller, which may need to adjust the output of the actuator based on these inputs. In a nuclear power plant control model, this information exchange needs to be accomplished by defining clear parameter transfer paths and protocols to ensure that the flow of data in the model is accurate and timely.

It should be understood that step S104 outputs the simulation constant parameters configured for each target modeling element and the parameter transfer relationships between each target modeling element, thereby providing detailed parameter configuration references and interface definitions for the construction of the control model of the nuclear power plant. By this step, it is ensured that the control model of the nuclear power plant is not only structurally consistent with the control logic diagram, but also functionally accurate to simulate the behavior of the actual control system.

Referring to fig. 5, according to an embodiment of the present application, step S104 performs function block identification analysis on the control logic diagram, and determines a simulation constant value parameter required to be configured by each target modeling element and a parameter transfer relationship between each target modeling element, which may include:

Step S501, performing function block identification analysis on the control logic diagram to determine a fixed value identification corresponding to each target conversion icon and an association identification between each target conversion icon;

Step S502, determining simulation constant value parameters required to be configured for each target modeling element based on constant value identifiers corresponding to each target conversion icon;

step S503, based on the association identification between the target conversion icons, determining the parameter transfer relation between the target modeling elements.

According to the embodiment provided by the application, the analysis of the function block identification of the control logic diagram in the step S104 is a key link, and aims to accurately configure the interaction relationship between the parameters and the definition elements in the control model of the nuclear power plant.

In step S501 of some embodiments, deep function block identification parsing of the control logic diagram is required. The goal of this stage is to identify the constant value identifier and associated identifier for each target transition icon in the control logic diagram. The constant value identification refers to a fixed parameter or setting associated with a particular icon, such as a threshold value of a sensor, a gain of a controller, etc. The association identifiers describe the logical connections and data flow between the different icons that define interactions between elements in the control model of the nuclear power plant.

In step S502 of some embodiments, a desired simulation constant value parameter is configured for each target modeling element based on the constant value identification extracted from the control logic diagram. This step ensures that each component in the control model of the nuclear power plant is accurately set according to the original design of the control logic diagram. For example, if a controller icon in the control logic diagram has a particular gain value, then the corresponding controller element is also configured with the same gain parameter in the nuclear power plant control model.

In step S503 of some embodiments, the parameter transfer relationship between the target modeling elements is determined using the association identifier identified in step S501. This step is the key to constructing the internal connections of the control model of the nuclear power plant, and involves identifying which target modeling elements need to communicate with each other, as well as the type and direction of parameters passed between them. These parameter transfer relationships are critical to the accuracy of the dynamic behavior of the control model of the nuclear power plant, as they determine how data flows and processes in the simulation environment.

The necessary information is extracted and converted from the control logic diagram to construct an accurate nuclear power plant control model via the embodiment of the present application shown in steps S501 to S503. The method not only improves the efficiency of simulation modeling, but also improves the quality of the control model of the nuclear power plant by ensuring the accuracy of simulation fixed value parameters and parameter transfer relations.

Step S105 of some embodiments, generating a simulation control map corresponding to a target nuclear power plant control system based on simulation implementation constraints for a plurality of target modeling elements;

It should be noted that, step S105 needs to integrate the plurality of target modeling elements based on the simulation implementation constraint to generate the simulation control map corresponding to the target nuclear power plant control system. The step is to integrate the information such as the function block icon, the fixed value parameter, the parameter transfer relation and the like which are obtained by the previous analysis, and form a complete and visual nuclear power plant control model frame, namely a simulation control diagram.

First, simulation implementation constraints are determined in step S102 from modeling requirement information as a set of rules and constraints. These simulation implementation constraints may include performance criteria, safety requirements, operational constraints, etc. of the control model of the nuclear power plant. In step S105, simulation implementation constraints are used as a basis for evaluating and adjusting the target modeling elements to ensure that the generated simulation control diagram can meet the simulation requirements.

Next, the process of generating the simulated control diagram requires the layout of the target modeling elements. This includes determining the locations of the individual target modeling elements in the simulated control graph, the manner in which they are connected, and the flow of data. The simulation control diagram should clearly reflect the logic structure and operation flow of the control system of the control target nuclear power plant, so that the user of the control model of the nuclear power plant can intuitively understand the working principle of the control system of the target nuclear power plant.

In addition, operability and maintainability of the control model of the nuclear power plant also need to be considered in the process of generating the simulation control diagram. This means that the simulation control diagram should allow the user to easily identify and modify the parameters of the respective target modeling elements and adjust the connection relationships between the target modeling elements as needed.

It should be appreciated that the generated simulated control diagram provides a clear blueprint for the construction of the control model of the nuclear power plant, and also provides an important reference for the testing and verification of the control model of the nuclear power plant. Through the step, the control model of the nuclear power plant can be ensured to be consistent with the requirements of a target control system of the nuclear power plant in design and implementation, so that the accuracy and reliability of the control model of the nuclear power plant are improved.

Step S106 of some embodiments, generating a transmission point file based on parameter transfer relationships between the target modeling elements;

It should be noted that the transmission of the peer-to-peer file is the basis for ensuring the correct transfer of parameters between the target modeling elements in the control model of the nuclear power plant, and details the data flow and interface relationships inside the control model of the nuclear power plant. It should be noted that the parameter transfer relationships between the target modeling elements define which elements of the control model of the nuclear power plant need to receive data, which need to transmit data, and the specific flow direction of the data. For example, one sensor block may need to send measurement data to the controller block, and the controller may need to send control signals to the actuator block.

In the embodiment of the application, the process of generating the transmission point file requires accurate mapping and definition of the parameter transfer relations. In this process, the input-output interfaces of each target modeling element may be identified and assigned an appropriate data identifier or tag. These data identifiers or tags are used in the nuclear power plant control model to uniquely identify the data stream, ensuring that the data can be properly identified and processed.

In addition, the generation of the transmission point file can be used for reflecting the overall structure and organization mode of the nuclear power plant control model. Based on this, the transmission-to-point file may organize the data mapping information in a clear, logical manner. This process may involve using tables, charts, or other visualizations to demonstrate parameter transfer relationships.

In some more specific embodiments, the transmission point-to-point file may be implemented in a variety of formats, such as CSV (comma separated value), XML (extensible markup language), or custom text formats.

It should be appreciated that the generated transmission-to-point file will be one of the bases for generation of the control model of the nuclear power plant for configuring the parameter transfer mechanism in the simulation software, ensuring that data can flow between different functional blocks in a predetermined manner during the simulation. Through the step, the accuracy and the reliability of the control model of the nuclear power plant can be improved, and a solid foundation is provided for simulation analysis and decision making of a control system of the target nuclear power plant.

Step S107 of some embodiments generates a nuclear power plant control model corresponding to the target nuclear power plant control system based on model loading of the simulated control map, the simulated constant value parameters, the transmission point files, and the parameter transfer relationships.

It should be noted that the simulation control diagram provides a framework and structure for the model that details the logic flow and component layout of the control system. In the model loading process, the simulation control diagram is used as a basic blueprint to guide how each target modeling element and the relation between each target modeling element are represented and connected in a simulation environment.

Further, the simulation set-point parameters provide the necessary initial setup and runtime parameters for each target modeling element in the control model of the nuclear power plant. These parameters may include the threshold of the sensor, the gain of the controller, the response time of the actuator, etc. In the model loading process, the constant value parameters are configured into corresponding target modeling elements, so that the behavior of the model is ensured to meet the design requirements.

In addition, the transfer of the point-to-point file defines the data flow and interface relationships inside the model. When the model is loaded, the information in the transmission-to-point file will be used to set the data connection between the target modeling elements, ensuring that the input-output data can be properly transferred in the model. The method is helpful for realizing coordination work inside the model and ensuring the accuracy and timeliness of information flow.

It should be noted that the parameter transfer relationships further refine how data flows between different target modeling elements, including the type of data, flow direction, and manner of interaction. In the model loading process, the relations are converted into connection and interaction logic in simulation software, so that the model can accurately simulate the dynamic behavior of an actual control system.

In the process of loading the model, the embodiment of the application can be assisted by using a professional simulation software tool. The simulation software tools provide functions of model construction, parameter configuration, data connection and the like, so that the model loading process is more efficient and accurate. Through the tools, the embodiment of the application can conveniently import the simulation control diagram, the fixed value parameters and the information in the transmission point file into the simulation environment, and carry out necessary adjustment and optimization.

In some more specific embodiments, after model loading is completed, the generated nuclear power plant control model is subjected to a series of tests and verifications to ensure that its performance and behavior are in line with expectations. This includes evaluating the stability, responsiveness, accuracy, etc. of the model, and performing simulation tests under different operating conditions and scenarios.

Referring to fig. 6, according to an embodiment of the present application, each target modeling element is configured with corresponding element attribute information and pin connection information, and after model loading is performed based on the simulation control chart, the simulation constant value parameter, the transmission point file and the parameter transfer relation, generating a nuclear power plant control model corresponding to the target nuclear power plant control system may further include:

step S601, identifying a target modeling element in a nuclear power plant control model, wherein a reference state needs to be set, and determining a target configuration element;

Step S602, generating a reference working condition setting file based on element attribute information and pin connection information configured by each target configuration element;

Step S603, loading the reference condition setting file into the nuclear power plant control model to set the reference condition of the nuclear power plant control model.

According to the embodiment provided by the application, the construction of the control model of the nuclear power plant is not only limited to the generation model, but also comprises the setting of the reference state of the specific element in the model.

The purpose of setting the reference state is mainly to ensure that the reference state of the control model of the nuclear power plant can be matched with the process model in the control system of the target nuclear power plant. If the nuclear power plant control model is connected with the process model, the process model can be normally operated, and normal adjustment can be realized under the control of the nuclear power plant control model.

Step S601 of some embodiments involves identifying target modeling elements in a control model of a nuclear power plant for which reference states need to be set, and determining these target modeling elements as target configuration elements. Reference states generally refer to the operating states that the components of the nuclear power plant control model should achieve under certain operating conditions, which is critical to ensure that the nuclear power plant control model can be used to control the process model.

Step S602 of some embodiments generates a reference operating condition setting file based on the element attribute information and the pin connection information configured by the target configuration element. The element attribute information may include the type, model number, performance parameters, etc. of the components, while the pin connection information details the electrical or logical connection between the components. It should be noted that the process of generating the reference condition setting file needs to comprehensively consider the attribute and connection information of all relevant components in the control model of the nuclear power plant. This requires that their properties and connection configuration be recorded for all target configuration elements. In addition, interactions and dependencies between the target configuration elements need to be considered to ensure that the baseline operating condition profile can fully cover relevant aspects of the nuclear power plant control model.

Step S603 of some embodiments loads the generated reference condition setting file into the nuclear power plant control model to set the reference condition of the model. This step is an important component of the model debugging and verification process, which ensures that the model can start running from a known, standardized state at start-up. By loading the baseline operating condition setting file, each target configuration element in the nuclear power plant control model can be configured to a proper initial state, and a stable reference point is provided for subsequent interaction with the process model.

Referring to fig. 7, according to an embodiment of the present application, step S602 generates a reference operating mode setting file based on element attribute information and pin connection information configured by each target configuration element, and may include:

step S701, determining the element type of the target configuration element based on the element attribute information and the pin connection information;

Step S702, generating element setting information corresponding to a target configuration element based on the element type;

step S703, integrating the element setting information corresponding to each target configuration element to obtain the reference working condition setting file.

In step S701 of some embodiments, it is necessary to determine the element type of the target configuration element based on the attribute information and the pin connection information of the element. The element attribute information may include functions, performance parameters, operation modes, etc., and the pin connection information describes connection relations between the target configuration elements. From this information, the basic characteristics of the target configuration element and its role in the target nuclear power plant control system can be identified, thereby determining its type.

In step S702 of some embodiments, element setting information corresponding to each target configuration element is generated according to the element type that has been determined. This step requires configuration of its specific parameters and settings depending on the function and intended use of the target configuration element. For example, if one element is a sensor, its setting information may include parameters such as sensitivity, measurement range, etc., and if it is an actuator, it may be necessary to set a threshold or response time of its driving signal.

In step S703 of some embodiments, element setting information corresponding to all target configuration elements is integrated. The step is to collect element setting information corresponding to each target configuration element into a unified file to form a reference working condition setting file. This document details the initial configuration of all key components in the control model of a nuclear power plant, providing a standardized starting point for the model.

Generating the baseline operating condition profile via the embodiment of the present application shown in steps S701 through S703 ensures that the nuclear power plant control model can be started and run in a known, standardized state. Therefore, the efficiency of the control model setting of the nuclear power plant is improved, and the reliability and the accuracy of the model are enhanced by ensuring that each target modeling element is configured according to the preset parameters.

Referring to fig. 8, element types include a device driving type, a group control type, a fixed value type, a bistable trigger type, and an alarm type according to an embodiment provided by the present application. Step S702 generates element setting information corresponding to the target configuration element based on the element type, and may include:

step S801, marking as a manual state or an automatic state for a target configuration element of a device driving type, and determining a corresponding default value;

step S802, selecting a corresponding grouping mode aiming at a target configuration element of a grouping control type;

step 803, for the target configuration element of the fixed value type, configuring the target configuration element as an internal preset driving mode or an external signal driving mode;

step S804, setting a reference output signal state for a target configuration element of a bistable trigger type;

Step S805, for the target configuration element of the alarm type, trigger setting information is generated.

According to an embodiment provided by the application, the definition of element types is critical to generating the baseline operating condition profile. Element types include device driver type, group control type, constant value type, bistable trigger type, and alarm type, each with its specific setup requirements and functions.

Step S801 of some embodiments is specific to a target configuration element of a device driver type. In this step it is necessary to mark whether the device driving element is in a manual state or an automatic state and to determine a default value for the selected state. This default value defines the initial value that the target modeling element corresponding to the target configuration element should take at the beginning of the simulation.

Step S802 of some embodiments processes a target configuration element of a group control type. Group control typically involves the collaborative work of multiple target configuration elements. In this step, a suitable grouping pattern needs to be selected, which may involve defining which target configuration elements belong to the same group and their coordination.

Step S803 of some embodiments configures the element for the target of the constant type. A target configuration element of a fixed value type is typically used to maintain stable operation of the system at a particular set point. In this step, it is required that the target configuration element is configured to an internal preset driving mode or an external signal driving mode, which determines whether the target configuration element responds to an internally set value or an externally input signal.

Step S804 of some embodiments involves a target configuration element of the bistable trigger type. A bistable flip-flop is a device with two stable states, typically used to implement a memory or locking function. In this step, a reference output signal state needs to be set, which defines the state that the target configuration element of the bistable trigger type is in, at the start of the simulation, the corresponding target modeling element.

Step S805 of some embodiments configures an element for the target of the alarm type. The alarm element is used to monitor the system status and to issue a warning in the event of an abnormality. In this step trigger setting information needs to be generated, which may include defining the condition that triggered the alarm, the type of alert and the corresponding response measures.

The embodiment of the application shown in the steps S801 to S805 provides detailed setting guidance for different types of target configuration elements, and ensures that a simulation model can perform accurate initial configuration according to actual system requirements. The integration of these settings ultimately forms a baseline operating profile that provides a standardized starting point for the nuclear power plant control model, enabling the model to operate in a known, expected state.

According to an embodiment provided by the present application, for a target configuration element of a device driver type, marking as a manual state or an automatic state, and determining a corresponding default value may include:

setting a corresponding reference driving state according to a target configuration element of the equipment driving type, wherein the reference driving state comprises a manual state or an automatic state;

After setting the corresponding reference driving state for the target configuration element, configuring the corresponding default value for the target configuration element based on the preset initialization configuration parameter.

In the embodiment provided by the application, the accurate configuration of the target configuration element of the device driving type is an important step for ensuring that the control model correctly reflects the actual system behavior. This includes marking these elements as manual or automatic and determining corresponding default values so that the system can operate as intended under start-up or specific conditions.

First, a target configuration element of the device driver type needs to set a reference driving state. The reference driving state is a default operation mode of the apparatus when no external instruction is input, and it determines whether the apparatus waits for a manual instruction of an operator (manual state) or automatically operates according to a preset program or algorithm (automatic state).

After the reference driving state is determined, the next step is to configure default values for the target configuration elements based on preset initialization configuration parameters. These default values are the initial settings that the device should take at start-up or under certain trigger conditions. For example, a device driving element of a pump may have a default value indicating the rotational speed or flow of the pump at system start-up. For the automatic state, the default values may include a start-up sequence, preset operating parameters, or a mode of automatic operation. For the manual state, the default value may include an initial position or state of the device when on standby.

The process of configuring the default values requires comprehensive consideration of the operational logic, safety standards and performance requirements of the target nuclear power plant control system. For example, a safety-related target nuclear power plant control system may be designed to automatically switch to a safe state (e.g., shut down or shut down) upon detection of a fault, where the corresponding default value reflects the design intent of such safety priority.

In practice, configuring default values typically involves programming of control software, setting of control model parameters for the nuclear power plant, and interface configuration with hardware devices. After configuration is completed, a series of test and verification steps can be used to ensure that the set reference driving state and default values can correctly implement the expected functions and coordinate with other parts of the nuclear power plant control model. It should be appreciated that setting the reference driving state and default values for the target configuration elements of the device driving type is a key step to ensure that the target nuclear power plant control system corresponding to the control nuclear power plant control model is safely, reliably and efficiently operated.

According to an embodiment provided by the present application, for a target configuration element of a group control type, selecting a corresponding group mode may include:

aiming at each target configuration element of the group control type, group control requirement information is acquired;

based on the group control requirement information, each target configuration element of the group control type configures a corresponding group mode.

In the embodiments provided by the present application, selecting an appropriate group mode for the target configuration elements of the group control type is a key step in achieving efficient management and control. Group control allows multiple devices or control elements to operate as a unit, which helps to improve operational efficiency, optimize resource allocation, and ensure consistent coordination among the multiple components.

First, group control requirement information needs to be acquired for each target configuration element of the group control type. This step involves the operational objectives, performance metrics, safety requirements, and any specific process flow requirements of the target nuclear power plant control system. The group control demand information is derived from a number of aspects such as target nuclear power plant control system design documentation, operating manuals, process flow diagrams, or feedback directly from operators and engineers. This information provides a basis for selecting the appropriate grouping mode.

After the group control requirement information is acquired, a corresponding group mode is configured for each target configuration element of the group control type based on the requirements. The group mode should be selected taking into account how the objectives defined in the demand information are most effectively achieved. For example, if group control requirement information emphasizes the synchronicity of operations, it may be desirable to select a group mode that ensures that all of the devices within a group start and stop simultaneously. If the demand information highlights the need for resource optimization, then the group mode may need to support load balancing or priority scheduling.

It should be appreciated that selecting and configuring a group pattern for a target configuration element of a group control type is a comprehensive process. Through the process, the group control can be ensured, so that the convenience and the efficiency of operation are improved, and the stability and the reliability of a control model of the nuclear power plant are enhanced.

According to an embodiment of the present application, based on the group control requirement information, configuring a corresponding group mode by each target configuration element of the group control type may include:

responding to the group control requirement information as a sequential operation requirement, and determining a sequential control mode as a group mode corresponding to each target configuration element;

responding to the group control requirement information as parallel operation requirement, and determining a parallel control mode as a group mode corresponding to each target configuration element;

responding to the group control requirement information as a redundant operation requirement, and determining a redundant control mode as a group mode corresponding to each target configuration element;

And responding to the grouping control requirement information as the load balancing operation requirement, and determining a load distribution control mode as a grouping mode corresponding to each target configuration element.

In the embodiment provided by the application, the group mode configuration of each target configuration element of the group control type is a key link, and is directly related to the effective implementation of the control strategy and the overall performance of the control model of the nuclear power plant. This configuration process ensures that the selected group mode is able to meet specific operational requirements based on detailed group control requirement information.

If the group control requirement information indicates that sequential operations are required, for example, in a particular process flow, certain steps must be completed before other steps can begin, then the sequential control mode will be a suitable choice. In the sequential control mode, the nuclear power plant control model can gradually activate each target configuration element according to a preset sequence, so that operation continuity and coordination are ensured. This mode is particularly important in start-up procedures, staged tasks or strongly dependent operations.

For the requirement of parallel operation, for example, when a plurality of operations can be performed simultaneously and there is no direct dependency relationship between each other, selecting the parallel control mode can improve efficiency and response speed. In the parallel control mode, a plurality of target configuration elements can be activated at the same time, so that various resources in the nuclear power plant control model are allowed to be fully utilized, the waiting time is reduced, and the whole process is accelerated.

When the group control requirement information emphasizes redundant operations, the redundant control mode can provide a desired solution. The redundant control mode is designed to improve the reliability and fault tolerance of a target nuclear power plant control system corresponding to the nuclear power plant control model, and by configuring a plurality of identical target configuration elements, when one element fails, other elements can immediately take over the functions of the element, so that the continuous and stable operation of the nuclear power plant control model is ensured.

Finally, if the demand information indicates that load balancing operations are required, the load distribution control mode will be the ideal choice. In the load distribution control mode, the nuclear power plant control model dynamically distributes tasks to each target configuration element according to the current load condition so as to avoid the condition that some elements are overloaded and other elements are idle. This model is critical to optimizing resource usage, extending equipment life, and improving overall performance and response capability of the nuclear power plant control model.

In implementing these group modes, real-time performance, reliability requirements, operational complexity, and future scalability of the nuclear power plant control model need to be considered in combination. In addition, there is a need to ensure that the selected group mode is compatible with existing control architecture and communication protocols and that it is properly implemented through analog testing and field verification. By means of the configuration, each target configuration element of the group control type can be ensured to effectively meet the group control requirement, and efficient, reliable and flexible operation is achieved.

According to an embodiment of the present application, for a target configuration element of a constant value type, configured as an internal preset driving mode or an external signal driving mode may include:

Determining a signal driving type of a target configuration element based on a preset initialization configuration parameter aiming at the target configuration element of a constant value type;

responding to the signal driving type as an internal preset driving mode, and configuring corresponding internal limiting parameters, element response characteristics and internal driving control logic for a target configuration element;

and responding to the signal driving type as an external signal driving mode, and configuring a corresponding signal external path and a corresponding signal external interface for the target configuration element.

In the embodiments provided by the present application, proper configuration of the signal drive type is a critical step to ensure its intended operation for a targeted configuration element of a constant value type. The target configuration elements of the constant type are used in the control system to maintain specific set values, and can be configured into an internal preset driving mode or an external signal driving mode to adapt to different control requirements and operating environments.

First, it is necessary to determine the signal driving type of the target configuration element based on a preset initialization configuration parameter. The initialization configuration parameters here include basic settings of the control elements such as desired output range, response speed, stability requirements, etc. These parameters provide the basis for selecting the most appropriate driving mode.

If the signal drive type is determined to be an internal preset drive pattern, then the next task is to configure the target configuration element with the corresponding internal definition parameters, element response characteristics and internal drive control logic. The internal limiting parameters define the operating limits and target values of the control element in an internal preset mode, such as a maximum flow, a pressure set point or a temperature range. The element response characteristics relate to how the behavior of the control element is adjusted according to these internal parameters to achieve a fast and stable control effect. Internal drive control logic is an algorithm or rule that implements these response characteristics that determines how the control element adjusts its output based on internal parameters and system state.

Otherwise, if the signal driving type is the external signal driving mode, a corresponding signal external path and a corresponding signal external interface are required to be configured for the target configuration element. The signal external path refers to a specific channel for the control element to receive an external signal, which may include a sensor, remote control, or other input device. The external interface of the signal is the interface for communication between the control element and the external signal sources, and the external interface needs to be able to correctly analyze the external signal and convert it into a command that can be understood and executed by the control element.

It should be understood that selecting an appropriate signal driving type for the target configuration element of the constant value type and performing corresponding configuration is an important link for realizing accurate control and optimizing the system performance.

According to an embodiment of the present application, setting a reference output signal state for a target configuration element of a bistable trigger type may include:

and setting a reference output signal state for a target configuration element of the bistable trigger type based on a preset initialization configuration parameter.

In the embodiment provided by the application, aiming at the target configuration element of the bistable trigger type, the nuclear power plant control model is ensured to start to run from a known and controllable state when being started or reset. Bistable flip-flops, which are devices that can be switched between two stable states, are used in target nuclear power plant control systems to perform tasks such as latching functions, state memory, or condition switching.

The setting of the reference output signal state is based on preset initialization configuration parameters defining the state that the bistable flip-flop should be in when the target nuclear power plant control system is initialized. The initialization configuration parameters herein may include, but are not limited to, the initial output value (high or low level) of the flip-flop, the trigger condition, and the coordination with other components. In some cases, initializing configuration parameters may also include fine-tuning specific behavior of the trigger, such as response time, stability thresholds, or interaction rules with other control logic.

In practice, it is first necessary to identify and understand the role and importance of target configuration elements of the bistable trigger type in a nuclear power plant control model. Then, a suitable baseline output signal condition is determined based on the demand of the nuclear power plant control model. For example, if a bistable trigger is used to control a safety-related mechanism, its reference state may be set to a safe preset value to ensure that the mechanism automatically enters a safe mode when the control model of the nuclear power plant is started or fails.

Setting the reference output signal state may involve programming and configuring control software, and possibly hardware adjustments. This includes programming the logic required for implementation in the nuclear power plant control model, configuring the input signal sources of the target configuration elements of the trigger types, and ensuring that the target configuration elements of all hardware component types are able to support the selected reference states. In addition, thorough testing is required to verify that the bistable flip-flop can accurately enter and maintain its reference output signal state during actual operation.

Referring to fig. 9, fig. 9 illustrates a hardware structure of an electronic device of another embodiment, the electronic device including:

the processor 901 may be implemented by a general purpose CPU (Centra l Process I ngUn it ), a microprocessor, an application specific integrated circuit (APP L I CAT I onSpec I F I C I NTEGRATEDCI rcu it, AS ic), or one or more integrated circuits, etc. for executing related programs to implement the technical solution provided by the embodiments of the present application;

The memory 902 may be implemented in the form of read-only memory (ReadOn l yMemory, ROM), static storage, dynamic storage, or random access memory (RandomAccessMemory, RAM), among others. The memory 902 may store an operating system and other application programs, and when the technical solution provided in the embodiments of the present disclosure is implemented by software or firmware, relevant program codes are stored in the memory 902, and the processor 901 invokes the method for constructing a control model of a nuclear power plant to execute the embodiments of the present disclosure;

an input/output interface 903 for inputting and outputting information;

the communication interface 904 is configured to implement communication interaction between the present device and other devices, and may implement communication in a wired manner (such as USB, network cable, etc.), or may implement communication in a wireless manner (such as mobile network, WI F I, bluetooth, etc.);

A bus 905 that transfers information between the various components of the device (e.g., the processor 901, the memory 902, the input/output interface 903, and the communication interface 904);

wherein the processor 901, the memory 902, the input/output interface 903 and the communication interface 904 are communicatively coupled to each other within the device via a bus 905.

Embodiments of the present application also provide a computer program product comprising a computer program. The processor of the computer device reads the computer program and executes the computer program, so that the computer device executes the method for constructing the control model of the nuclear power plant.

The terms "first," "second," "third," "fourth," and the like in the description of the present disclosure and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein, for example. Furthermore, the terms "comprises," "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in this disclosure, "at least one" means one or more, and "a plurality" means two or more. "and/or" is used to describe an association relationship of an associated object, and indicates that three relationships may exist, for example, "a and/or B" may indicate that only a exists, only B exists, and three cases of a and B exist simultaneously, where a and B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of the following" or its similar expressions means any combination of these items, and may include any combination of single item(s) or plural items(s). For example, at least one of a, b or c may represent a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

It should be understood that in the description of the embodiments of the present application, plural (or multiple) means two or more, and that greater than, less than, exceeding, etc. are understood to not include the present number, and that greater than, less than, within, etc. are understood to include the present number.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present disclosure may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, and may include several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present disclosure. The storage medium includes various media capable of storing program codes, such as a U disk, a removable hard disk, a Read-On-y Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk or an optical disk.

It should also be appreciated that the various embodiments provided by the embodiments of the present application may be arbitrarily combined to achieve different technical effects.

The above is a specific description of the embodiments of the present disclosure, but the present disclosure is not limited to the above embodiments, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present disclosure, and are included in the scope of the present disclosure as defined in the claims.

Claims

1. A method for constructing a nuclear power plant control model, comprising:

Obtain control logic diagram and modeling requirement information of the target nuclear power plant control system;

Perform simulation requirement analysis on the control logic diagram based on the modeling requirement information to determine simulation implementation constraints;

Performing function block symbol analysis on the control logic diagram to determine a plurality of target modeling elements;

Performing function block identification analysis on the control logic diagram to determine the simulation constant value parameters required to be configured for each target modeling element and the parameter transfer relationship between each target modeling element;

Constraining a plurality of the target modeling elements based on the simulation implementation, generating a simulation control diagram corresponding to the target nuclear power plant control system;

Based on the parameter transfer relationship between the target modeling elements, generating a transmission point file;

Model loading is performed based on the simulation control diagram, the simulation constant parameters, the transmission point file and the parameter transfer relationship to generate a nuclear power plant control model corresponding to the target nuclear power plant control system.

2. The method according to claim 1, characterized in that each of the target modeling elements is configured with corresponding element attribute information and pin connection information, and after the model is loaded based on the simulation control diagram, the simulation set value parameters, the transmission point file and the parameter transfer relationship to generate a nuclear power plant control model corresponding to the target nuclear power plant control system, it also includes:

Identifying the target modeling elements in the nuclear power plant control model that need to set a reference state, and determining target configuration elements;

Generate a reference operating condition setting file based on the element attribute information and the pin connection information configured for each of the target configuration elements;

The reference operating condition setting file is loaded into the nuclear power plant control model to set the reference operating condition of the nuclear power plant control model.

3. The method according to claim 2, characterized in that the generating of the reference operating condition setting file based on the element attribute information and the pin connection information configured by each of the target configuration elements comprises:

Determining an element type of the target configuration element based on the element attribute information and the pin connection information;

Based on the element type, generating element setting information corresponding to the target configuration element;

The element setting information corresponding to each of the target configuration elements is integrated to obtain the reference operating condition setting file.

4. The method according to claim 3, characterized in that the element types include device drive type, group control type, fixed value type, bistable trigger type and alarm type;

The step of generating element setting information corresponding to the target configuration element based on the element type includes:

For the target configuration element of the device driver type, mark it as a manual state or an automatic state, and determine a corresponding default value;

For the target configuration element of the group control type, selecting a corresponding grouping mode;

For the target configuration element of the fixed value type, configure it as an internal preset driving mode or an external signal driving mode;

For the target configuration element of the bistable trigger type, setting a reference output signal state;

For the target configuration element of the alarm type, trigger setting information is generated.

5. The method according to claim 3, wherein the target configuration element for the device driver type is marked as a manual state or an automatic state, and a corresponding default value is determined, comprising:

For the target configuration element of the device driver type, setting a corresponding reference driving state; wherein the reference driving state includes a manual state or an automatic state;

After the corresponding reference driving state is set for the target configuration element, the corresponding default value is configured for the target configuration element based on a preset initialization configuration parameter.

6. The method according to claim 3, characterized in that the selecting a corresponding grouping mode for the target configuration element of the grouping control type comprises:

For each of the target configuration elements of the group control type, obtaining group control requirement information;

Based on the group control requirement information, each target configuration element of the group control type configures the corresponding group mode.

7. The method according to claim 6, characterized in that, based on the group control requirement information, each of the target configuration elements of the group control type configures the corresponding group mode, comprising:

In response to the group control requirement information being a sequential operation requirement, determining a sequential control mode as the group mode corresponding to each of the target configuration elements;

In response to the group control requirement information being a parallel operation requirement, determining a parallel control mode as the group mode corresponding to each of the target configuration elements;

In response to the grouping control requirement information being a redundant operation requirement, determining a redundant control mode as the grouping mode corresponding to each of the target configuration elements;

In response to the grouping control requirement information being a load balancing operation requirement, a load distribution control mode is determined to be the grouping mode corresponding to each of the target configuration elements.

8. The method according to claim 3, characterized in that the target configuration element for the fixed value type is configured as an internal preset driving mode or an external signal driving mode, comprising:

For the target configuration element of the fixed value type, determining the signal driving type of the target configuration element based on a preset initialization configuration parameter;

In response to the signal driving type being the internal preset driving mode, configuring corresponding internal limiting parameters, element response characteristics and internal driving control logic for the target configuration element;

In response to the signal driving type being the external signal driving mode, a corresponding signal external connection path and a signal external interface are configured for the target configuration element.

9. The method according to claim 3, characterized in that the step of setting a reference output signal state for the target configuration element of the bistable trigger type comprises:

Based on the preset initialization configuration parameters, a reference output signal state is set for the target configuration element of the bistable trigger type.

10. The method according to claim 1, characterized in that before parsing the function block symbol of the control logic diagram to determine a plurality of target modeling elements, it further comprises:

Determine the control symbol library and modeling element library;

Performing symbol attribute analysis on each logic control symbol in the control symbol library to obtain the symbol preset attributes corresponding to each logic control symbol;

Analyzing the element attributes of each simulation modeling element in the modeling element library to obtain element preset attributes corresponding to each simulation modeling element;

Based on the matching relationship between the preset attributes of each icon and the preset attributes of each element, generating a conversion mapping relationship between each logic control icon and each simulation modeling element;

The function block diagram is parsed for the control logic diagram to determine a plurality of target modeling elements, including:

Performing icon recognition on the control logic diagram, and determining the logic control icon included in the control logic diagram as a target conversion icon;

Based on the conversion mapping relationship, the simulation modeling element corresponding to each target conversion icon is searched in the modeling element library, and the searched simulation modeling element is determined as the target modeling element.

11. The method according to claim 10, characterized in that before searching the modeling element library for the simulation modeling element corresponding to each target conversion icon based on the conversion mapping relationship and determining the queried simulation modeling element as the target modeling element, it further comprises:

In response to the control logic diagram being of an editable type, extracting icon configuration information corresponding to each of the target conversion icons from a source file of the control logic diagram;

Using the icon configuration information corresponding to each target conversion icon as an index, the simulation modeling element corresponding to each target conversion icon is searched in the modeling element library via the conversion mapping relationship, and the queried simulation modeling element is determined as the target modeling element.

12. The method according to claim 10, characterized in that before searching the modeling element library for the simulation modeling element corresponding to each target conversion icon based on the conversion mapping relationship and determining the queried simulation modeling element as the target modeling element, it further comprises:

In response to the control logic diagram being of a non-editable type, inputting the control logic diagram into a pre-trained icon parsing model to perform icon parsing on the control logic diagram to determine icon configuration information corresponding to each of the target conversion icons;

13. The method according to claim 1, characterized in that the performing of functional block identification analysis on the control logic diagram to determine the simulation constant parameters required to be configured for each of the target modeling elements and the parameter transfer relationship between the target modeling elements comprises:

Performing function block identification analysis on the control logic diagram to determine the fixed value identification corresponding to each target conversion icon and the association identification between each target conversion icon;

Based on the fixed value identifier corresponding to each target conversion icon, determining the simulation fixed value parameter to be configured for each target modeling element;

Based on the association identifiers between the target conversion icons, the parameter transfer relationship between the target modeling elements is determined.

14. An electronic device, characterized in that it comprises: a memory and a processor, wherein the memory stores a computer program, and the processor implements the nuclear power plant control model construction method as described in any one of claims 1 to 13 when executing the computer program.

15. A computer-readable storage medium, characterized in that the storage medium stores a program, and the program is executed by a processor to implement the nuclear power plant control model construction method according to any one of claims 1 to 13.