CN114629801B

CN114629801B - Method and device for detecting high closure of nuclear power plant fluid network model

Info

Publication number: CN114629801B
Application number: CN202210190509.1A
Authority: CN
Inventors: 王姣; 王苏; 翟国伟; 罗彬�; 沙会娥
Original assignee: State Power Investment Group Science and Technology Research Institute Co Ltd
Current assignee: State Power Investment Group Science and Technology Research Institute Co Ltd
Priority date: 2022-02-28
Filing date: 2022-02-28
Publication date: 2023-09-22
Anticipated expiration: 2042-02-28
Also published as: CN114629801A

Abstract

The disclosure provides a method and a device for detecting high closure of a fluid network model of a nuclear power plant. Comprising the following steps: obtaining a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: the system comprises a plurality of initial connecting paths, wherein the initial connecting paths are used for connecting part of model nodes to be detected, determining the connection relation among different model nodes to be detected, determining a first number of connecting paths to be detected from the plurality of initial connecting paths according to the connection relation, and performing height detection on the first number of connecting paths to be detected to generate a height closing detection result of a nuclear power plant fluid network model, so that the height closing detection effect and the detection efficiency of the nuclear power plant fluid network model can be effectively improved, the smooth performance of the simulation of the follow-up nuclear power plant fluid network model can be effectively assisted based on the height closing detection result, and the simulation effect of the nuclear power plant fluid network model can be effectively improved.

Description

Method and device for detecting high closure of nuclear power plant fluid network model

Technical Field

The disclosure relates to the technical field of nuclear power plant fluid network simulation, in particular to a method and a device for detecting the high closure of a nuclear power plant fluid network model.

Background

In the technical field of nuclear power plant fluid network simulation, before the simulation calculation of a nuclear power plant fluid network model, reasonable detection is generally required to be carried out on the nuclear power plant fluid network model, namely whether the nuclear power plant fluid network model is highly closed is judged, so that the influence on the simulation effect of a follow-up nuclear power plant fluid network model due to the fact that the model is not highly closed is avoided.

The model height closing means that the node heights of circulation paths formed by the model nodes with common starting points and end points are consistent among a plurality of model nodes forming the fluid network model of the nuclear power plant, and the accuracy of the simulation result of the fluid network model of the nuclear power plant can be effectively ensured only under the condition of closing the model height.

In the related art, due to the fact that the nodes of the fluid network model of the nuclear power plant are numerous and the connection relation among the nodes of the model is complex, operation difficulty of high-closure detection of the model is high, accuracy of a high-closure detection result of the model cannot be guaranteed, and therefore simulation effect of the fluid network model of the follow-up nuclear power plant is affected.

Disclosure of Invention

The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.

Therefore, an object of the present disclosure is to provide a method, an apparatus, an electronic device, and a storage medium for detecting a high closure of a fluid network model of a nuclear power plant, which can effectively improve the high closure detection effect and detection efficiency of the fluid network model of the nuclear power plant, thereby effectively assisting the smooth performance of the simulation of the fluid network model of the subsequent nuclear power plant based on the high closure detection result, and further effectively improving the simulation effect of the fluid network model of the nuclear power plant.

The method for detecting the high closure of the fluid network model of the nuclear power plant according to the embodiment of the first aspect of the present disclosure comprises: obtaining a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: the system comprises a plurality of initial connection paths, a control device and a control device, wherein the initial connection paths are used for connecting part of model nodes to be detected, the model nodes to be detected describe control device information in a nuclear power plant fluid network, and describe connection conditions among control devices to which different control device information belongs; determining connection relations among different model nodes to be detected, wherein the connection relations are used for describing fluid data circulation conditions among control equipment to which different control equipment information belongs; determining a first number of connection paths to be detected from a plurality of initial connection paths according to the connection relationship; and performing height detection on the first number of connecting paths to be detected to generate a height closure detection result of the nuclear power plant fluid network model.

According to the highly closed detection method for the nuclear power plant fluid network model, which is provided by the embodiment of the first aspect of the present disclosure, the nuclear power plant fluid network model to be detected is obtained, wherein the nuclear power plant fluid network model to be detected comprises: the system comprises a plurality of initial connection paths, a plurality of to-be-detected model nodes, control equipment information describing the nuclear power plant fluid network, and initial connection paths, connecting conditions describing control equipment to which different control equipment information belongs, and determining connection relations among different to-be-detected model nodes, wherein the connection relations are used for describing fluid data circulation conditions among the control equipment to which different control equipment information belongs, and then determining a first number of to-be-detected connection paths from the plurality of initial connection paths according to the connection relations, and performing height detection on the first number of to-be-detected connection paths to generate a height closing detection result of the nuclear power plant fluid network model.

A highly closed detection device for a fluid network model of a nuclear power plant according to an embodiment of a second aspect of the present disclosure includes: the acquisition module is used for acquiring a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: the system comprises a plurality of initial connection paths, a control device and a control device, wherein the initial connection paths are used for connecting part of model nodes to be detected, the model nodes to be detected describe control device information in a nuclear power plant fluid network, and describe connection conditions among control devices to which different control device information belongs; the first determining module is used for determining the connection relation between different model nodes to be detected, wherein the connection relation is used for describing the fluid data circulation condition between control equipment to which different control equipment information belongs; the second determining module is used for determining a first number of connecting paths to be detected from a plurality of initial connecting paths according to the connection relation; the detection module is used for detecting the heights of the first number of connecting paths to be detected so as to generate a high closure detection result of the nuclear power plant fluid network model.

According to the highly closed detection device for the nuclear power plant fluid network model, the nuclear power plant fluid network model to be detected is obtained, wherein the nuclear power plant fluid network model to be detected comprises: the system comprises a plurality of initial connection paths, a plurality of to-be-detected model nodes, control equipment information describing the nuclear power plant fluid network, and initial connection paths, connecting conditions describing control equipment to which different control equipment information belongs, and determining connection relations among different to-be-detected model nodes, wherein the connection relations are used for describing fluid data circulation conditions among the control equipment to which different control equipment information belongs, and then determining a first number of to-be-detected connection paths from the plurality of initial connection paths according to the connection relations, and performing height detection on the first number of to-be-detected connection paths to generate a height closing detection result of the nuclear power plant fluid network model.

An embodiment of a third aspect of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor executes the program to implement a method for detecting a high closure of a fluid network model of a nuclear power plant according to an embodiment of the first aspect of the present disclosure.

Embodiments of a fourth aspect of the present disclosure provide a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for highly closed detection for a fluid network model of a nuclear power plant as provided by embodiments of the first aspect of the present disclosure.

Embodiments of a fifth aspect of the present disclosure propose a computer program product, which when executed by an instruction processor in the computer program product, performs a method for highly closed detection of a fluid network model of a nuclear power plant as proposed by embodiments of the first aspect of the present disclosure.

Additional aspects and advantages of the disclosure 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 disclosure.

Drawings

The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:

FIG. 1 is a flow chart of a highly closed detection method for a fluid network model of a nuclear power plant according to an embodiment of the present disclosure;

FIG. 2 is a schematic illustration of a fluid network model of a nuclear power plant in accordance with an embodiment of the present disclosure;

FIG. 3 is a flow chart of a highly closed detection method for a fluid network model of a nuclear power plant according to another embodiment of the present disclosure;

FIG. 4 is a flow chart of a highly closed detection method for a fluid network model of a nuclear power plant according to another embodiment of the present disclosure;

FIG. 5 is a flow chart of a highly closed detection method for a fluid network model of a nuclear power plant according to another embodiment of the present disclosure;

FIG. 6 is a schematic structural diagram of a highly closed detection device for a fluid network model of a nuclear power plant according to an embodiment of the present disclosure;

FIG. 7 is a schematic structural view of a highly closed detection device for a fluid network model of a nuclear power plant according to another embodiment of the present disclosure;

fig. 8 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure 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 exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.

FIG. 1 is a flow chart of a method for highly closed detection for a fluid network model of a nuclear power plant according to an embodiment of the present disclosure.

It should be noted that, the execution body of the method for detecting the height closure of the fluid network model of the nuclear power plant in this embodiment is a device for detecting the height closure of the fluid network model of the nuclear power plant, which may be implemented in a software and/or hardware manner, and the device may be configured in an electronic device, and the electronic device may include, but is not limited to, a terminal, a server, and the like.

As shown in fig. 1, the method for detecting the high closure of the fluid network model of the nuclear power plant comprises the following steps:

s101: obtaining a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: and the initial connection paths are used for connecting part of model nodes to be detected.

The current nuclear power plant fluid network model to be subjected to the highly closed detection can be called a nuclear power plant fluid network model, and the nuclear power plant fluid network model to be detected can be specifically, for example, a nuclear power plant cooling water fluid network model, a nuclear power plant steam fluid network model, or the nuclear power plant fluid network model to be detected can be configured as any other possible fluid network model for a nuclear power plant, which is not limited.

In the embodiment of the disclosure, the to-be-detected nuclear power plant fluid network model may include a plurality of control devices for controlling the operation of the nuclear power plant, as shown in fig. 2, fig. 2 is a schematic diagram of the nuclear power plant fluid network model according to an embodiment of the disclosure, the to-be-detected nuclear power plant fluid network model may include, for example, 5 control devices, and the 5 control device pieces may have connection relations between fluid data input and output.

The plurality of control devices in the fluid network model of the nuclear power plant to be detected may have a corresponding plurality of information, which may be referred to as control device information, and the control device information may be specifically, for example, inclination information, altitude information, etc. of the control device, which is not limited.

Accordingly, as shown in fig. 2, a plurality of model nodes to be detected may have a corresponding plurality of connection paths, and the connection paths may be called initial connection paths, and the initial connection paths may be used to describe connection conditions between control devices to which different control device information belongs.

In the embodiment of the disclosure, the obtaining of the to-be-detected nuclear power plant fluid network model may be in response to an operation instruction for performing simulation on the nuclear power plant fluid network model, obtaining a current nuclear power plant fluid network model to be subjected to simulation on the to-be-detected nuclear power plant fluid network model, and taking the obtained nuclear power plant fluid network model as the to-be-detected nuclear power plant fluid network model, so that the to-be-detected nuclear power plant fluid network model is subjected to high closure detection, and smooth execution of simulation on a subsequent nuclear power plant fluid network model is effectively assisted according to a high closure detection result, which is not limited.

In other embodiments, the to-be-detected fluid network model of the nuclear power plant may be obtained, or the highly closed detection device for the fluid network model of the nuclear power plant may provide a corresponding data transmission interface, receive, via the data transmission interface, a data packet including the fluid network model of the nuclear power plant to be detected transmitted by other external devices, and perform packet format analysis processing on the data packet via the highly closed detection device for the fluid network model of the nuclear power plant, for example, may perform decryption processing on the data packet to obtain the fluid network model of the nuclear power plant to be detected, which is more suitable for subsequent highly closed detection, without limitation.

S102: and determining the connection relation between different model nodes to be detected.

The connection relationship may be used to describe a fluid data circulation condition between control devices to which different control device information belongs, where the data circulation condition may refer to an input and output circulation condition of fluid data between the control devices, and is not limited.

In the embodiment of the disclosure, the connection relationship between different model nodes to be detected may be determined by sequentially traversing a plurality of model nodes to be detected in a fluid network model of a nuclear power plant to be detected after obtaining the fluid network model of the nuclear power plant to be detected, so as to determine whether connection exists between each model node to be detected and other model nodes to be detected, thereby determining the connection relationship between different model nodes to be detected, and the method is not limited.

In other embodiments, the connection relationship between the different model nodes to be detected may be determined, or may be determined, after the to-be-detected fluid network model of the nuclear power plant is obtained, according to the output flow relationship of the fluid data between the plurality of control devices in the to-be-detected fluid network model of the nuclear power plant, without limitation.

For example, taking the above-mentioned nuclear power plant fluid network model shown in fig. 2 as an example, determining the connection relationship between different model nodes to be detected may be, for example, determining that the fluid data in the model node to be detected 1 is output to the model node to be detected 2 and the model node to be detected 3, so that it may be determined that the model node to be detected 1 and the model node to be detected 2 and the model node to be detected 3 have the connection relationship, which is not limited.

S103: and determining a first number of connection paths to be detected from the plurality of initial connection paths according to the connection relation.

After determining the connection relation between the different model nodes to be detected, the embodiment of the disclosure can determine a connection path for assisting in performing the highly closed detection of the fluid network model of the nuclear power plant from a plurality of initial connection paths according to the connection relation between the different model nodes to be detected, and the connection path can be called as the connection path to be detected.

The number of connection paths to be detected may be referred to as a first number.

In some embodiments, the determining the first number of connection paths to be detected from the plurality of initial connection paths may be performed by respectively analyzing connection relationships of a plurality of model nodes to be detected corresponding to the plurality of initial connection paths, and when the connection relationships of the plurality of model nodes to be detected corresponding to the plurality of initial connection paths satisfy a set condition (the set condition may be configured in a self-adaptive manner according to a high closed detection requirement of a model in an actual service scenario, and is not limited), the initial connection path corresponding to the connection relationship is used as the connection path to be detected, which is not limited.

For example, the connection relationships of the plurality of model nodes to be detected corresponding to the plurality of initial connection paths may be analyzed to determine the number of connection relationships of the plurality of model nodes to be detected corresponding to the plurality of initial connection paths, and set a corresponding connection relationship number threshold, and then the number of connection relationships of the plurality of model nodes to be detected corresponding to the plurality of initial connection paths may be determined and compared with the connection relationship number threshold, and when the number of connection relationships is greater than the connection relationship number threshold, it is determined that the connection relationships of the plurality of model nodes to be detected corresponding to the initial connection paths satisfy the set condition, and at this time, the initial connection path corresponding to the connection relationship may be used as the connection path to be detected, which is not limited.

In other embodiments, according to the connection relationship, a first number of connection paths to be detected is determined from a plurality of initial connection paths, or in combination with a highly closed detection requirement of a model in an actual service scenario, a model node to be detected that needs to be included in the connection paths to be detected is predetermined, and the connection relationship in the initial connection paths is analyzed to determine whether the initial connection paths include the model node to be detected, and when the initial connection paths include the model node to be detected, the initial connection paths are used as the connection paths to be detected, which is not limited.

S104: and performing height detection on the first number of connecting paths to be detected to generate a height closing detection result of the nuclear power plant fluid network model.

According to the embodiment of the disclosure, after a first number of connection paths to be detected are determined from a plurality of initial connection paths according to a connection relationship, the determined first number of connection paths to be detected can be subjected to height detection to generate a height closed detection result of a nuclear power plant fluid network model.

In some embodiments, the height detection of the first number of to-be-detected connection paths may be that after the first number of to-be-detected connection paths are determined, the first number of height sums of corresponding to a plurality of to-be-detected model nodes of the first number of to-be-detected connection paths are respectively determined, then the first number of height sums are compared, when the first number of height sums are the same, the height closure of the to-be-detected nuclear power plant fluid network model is determined, and when the first number of height sums are different, the height closure of the to-be-detected nuclear power plant fluid network model is determined, which is not limited.

In other embodiments, the first number of connection paths to be detected may be detected by combining a pre-trained deep learning model, that is, after the first number of connection paths to be detected is determined, the first number of connection paths to be detected is input into the pre-trained deep learning model, the pre-trained deep learning model performs a high closure detection on the first number of connection paths to be detected, and a high closure detection result of a corresponding fluid network model of the nuclear power plant is output, which is not limited.

In the embodiment of the disclosure, as shown in fig. 3, fig. 3 is a schematic flow chart of a method for detecting the height closure of a fluid network model of a nuclear power plant according to another embodiment of the disclosure, that is, a fluid network model of the nuclear power plant to be detected may be obtained in a beginning stage, a connection relationship between nodes of different models to be detected in the fluid network model of the nuclear power plant to be detected may be determined, then a connection path to be detected may be determined according to the connection relationship, and the height detection may be performed on the connection path to be detected, so as to generate a result of detecting the height closure of the fluid network model of the nuclear power plant.

In this embodiment, the to-be-detected nuclear power plant fluid network model is obtained, where the to-be-detected nuclear power plant fluid network model includes: the system comprises a plurality of initial connection paths, a plurality of to-be-detected model nodes, control equipment information describing the nuclear power plant fluid network, and initial connection paths, connecting conditions describing control equipment to which different control equipment information belongs, and determining connection relations among different to-be-detected model nodes, wherein the connection relations are used for describing fluid data circulation conditions among the control equipment to which different control equipment information belongs, and then determining a first number of to-be-detected connection paths from the plurality of initial connection paths according to the connection relations, and performing height detection on the first number of to-be-detected connection paths to generate a height closing detection result of the nuclear power plant fluid network model.

Fig. 4 is a flow chart of a highly closed detection method for a fluid network model of a nuclear power plant according to another embodiment of the present disclosure.

As shown in fig. 4, the method for detecting the high closure of the fluid network model of the nuclear power plant comprises the following steps:

s401: obtaining a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: and the initial connection paths are used for connecting part of model nodes to be detected.

S402: and determining the connection relation between different model nodes to be detected.

The descriptions of S401 to S402 may be specifically referred to the above embodiments, and are not repeated herein.

S403: and determining a path starting point and a path ending point from the plurality of model nodes to be detected according to the connection relation.

After determining the connection relation between different model nodes to be detected, the embodiment of the disclosure can determine the path start point and the path end point from a plurality of model nodes to be detected according to the connection relation.

In some embodiments, according to the connection relationship, determining a path start point and a path end point from a plurality of model nodes to be detected may be performed by analyzing the connection relationship after determining the connection relationship between different model nodes to be detected, so as to determine that the connection relationship corresponding to the model nodes to be detected is an output connection relationship or an input connection relationship, if it is determined that the connection relationships corresponding to the model nodes to be detected are all output connection relationships, it may be determined that the model nodes to be detected are path start points, and if it is determined that the connection relationships corresponding to the model nodes to be detected are all input connection relationships, it may be determined that the model nodes to be detected are path end points.

Alternatively, any other possible manner may be used to determine the path start point and the path end point from the plurality of model nodes to be detected, for example, a model parsing manner, an algorithm manner, and the like, which is not limited thereto.

S404: and determining a first number of connection paths to be detected from the plurality of initial connection paths according to the path starting point and the path ending point.

Among the plurality of initial connection paths, a connection path between a path start point and a path end point may be referred to as a connection path to be detected.

That is, in the embodiment of the present disclosure, the first number of connection paths to be detected is determined from the plurality of initial connection paths according to the path start point and the path end point, that is, after the path start point and the path end point are determined, whether the plurality of model nodes to be detected that constitute the initial connection path include the path start point and the path end point is determined according to the path start point and the path end point, and when the initial connection path includes the path start point and the path end point is determined, the initial connection path is taken as the connection path to be detected, and then whether the fluid network model of the nuclear power plant to be detected is highly closed may be determined based on the connection path to be detected, which may be described in the following embodiment.

In this embodiment, since the first number of to-be-detected connection paths having the same path start point and path end point are determined from the plurality of to-be-detected model nodes according to the connection relationship, all to-be-detected connection paths can be accurately identified from the plurality of initial connection paths based on the connection relationship, so that the determination effect of the to-be-detected connection paths is effectively improved, further, the execution of the subsequent high-closure detection method can be effectively assisted based on the to-be-detected connection paths, and the comprehensiveness and the detection effect of the high-closure detection of the fluid network model of the nuclear power plant are effectively ensured.

S405: and determining the height information of the model nodes to be detected, which are respectively related to the first number of connecting paths to be detected.

The first number of to-be-detected connection paths may be respectively formed by a plurality of related to-be-detected model nodes, and the information used for describing the heights of the to-be-detected model nodes respectively related to the to-be-detected connection paths may be called height information, where the height information may be specifically, for example, a vertical height, an inclination angle height of the to-be-detected model nodes, or may be, for example, a sum of heights of a plurality of to-be-detected model nodes respectively related to the to-be-detected connection paths, which is not limited.

In the embodiment of the disclosure, determining the height information of the to-be-detected model nodes related to the first number of to-be-detected connection paths may be determining the vertical heights of a plurality of to-be-detected model nodes related to the first number of to-be-detected connection paths, calculating the sum of the vertical heights of a plurality of to-be-detected model nodes related to the to-be-detected connection paths, and taking the determined sum of the vertical heights as the height information of the to-be-detected model nodes related to the first number of to-be-detected connection paths, which is not limited.

S406: and generating a high closure detection result of the nuclear power plant fluid network model according to the height information.

According to the embodiment of the disclosure, after the height information of the model nodes to be detected, which are respectively related to the first number of connecting paths to be detected, is determined, the height closing detection result of the fluid network model of the nuclear power plant can be generated according to the height information.

In some embodiments, the generating the height closure detection result of the fluid network model of the nuclear power plant according to the height information may be performing a comparison process on a plurality of height information after determining the height information, and generating the height closure detection result of the fluid network model of the nuclear power plant according to the result obtained by the comparison process.

For example, the comparison processing of the plurality of height information may be that after determining the corresponding plurality of height information of the first number of connection paths to be detected, the plurality of height information may be compared, if the plurality of height information is the same, the height closure of the fluid network model of the nuclear power plant may be determined, otherwise, if the plurality of height information is different, the height of the fluid network model of the nuclear power plant may be determined to be not closed, or the comparison processing of the plurality of height information may be performed, after determining the connection paths to be detected with the first number of connection paths to be detected, one connection path to be detected may be arbitrarily selected from the first number of connection paths to be detected, and the height information of the connection paths to be detected may be determined, and then, the height of the fluid network model of the nuclear power plant may be determined to be not be closed if the height information of any connection path to be detected in the first number of connection paths to be detected is different from the selected height information of the connection paths to be detected.

Optionally, in some embodiments, the height closure detection result of the fluid network model of the nuclear power plant may be generated according to the height information, where the consistency detection result between the plurality of height information is determined as the height closure detection result, and the consistency detection result between the plurality of height information is used as the height closure detection result, so that whether the height information of the plurality of connection paths to be detected of the fluid network model of the nuclear power plant is consistent can be effectively detected, and thus the accuracy of the height closure detection of the fluid network model of the nuclear power plant can be effectively improved when the consistency detection result between the plurality of height information is used as the height closure detection result.

That is, in the embodiment of the present disclosure, after determining the height information of the to-be-detected model nodes related to the first number of to-be-detected connection paths, determining whether the plurality of height information are consistent, so as to obtain a corresponding consistency detection result, and taking the consistency detection result as a highly closed detection result of the fluid network model of the nuclear power plant.

In this embodiment of the present disclosure, the consistency detection result may be used to describe a height closing condition of a fluid network model of a nuclear power plant to be detected, if the consistency detection result indicates that the height information is consistent, it may be determined that the fluid network model of the nuclear power plant to be detected is highly closed, at this time, the consistency detection result may be directly used as a height closing detection result of the fluid network model of the nuclear power plant, if the consistency detection result indicates that the height information is inconsistent, it may be determined that the fluid network model of the nuclear power plant to be detected is highly non-closed, at this time, the consistency detection result, a first number of connection paths to be detected, and a plurality of corresponding model nodes to be detected of the first number of connection paths to be detected may be jointly used as a height closing detection result of the fluid network model of the nuclear power plant.

In this embodiment, the to-be-detected nuclear power plant fluid network model is obtained, where the to-be-detected nuclear power plant fluid network model includes: the method comprises the steps of determining a first number of to-be-detected connecting paths with the same path starting point and path ending point from a plurality of to-be-detected model nodes according to the connection relation, and further, accurately identifying all to-be-detected connecting paths from the plurality of to-be-detected connecting paths based on the connection relation, effectively improving the determining effect of the to-be-detected connecting paths, further, effectively assisting the execution of a follow-up highly-closed detection method based on the to-be-detected connecting paths, effectively guaranteeing the comprehensiveness and the detecting effect of highly-closed detection of a fluid network model of a nuclear power plant, further, determining the highly-closed detection result of the fluid network model of the nuclear power plant according to the highly-closed detection result of the fluid network model of the nuclear power plant, further, effectively improving the highly-closed detection effect and the detecting efficiency of the fluid network model of the nuclear power plant based on the highly-closed detection result, and further effectively assisting the fluid network simulation of the fluid network simulation model of the nuclear power plant.

Fig. 5 is a flow chart of a highly closed detection method for a fluid network model of a nuclear power plant according to another embodiment of the present disclosure.

As shown in fig. 5, the method for detecting the high closure of the fluid network model of the nuclear power plant comprises the following steps:

s501: obtaining a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: and the initial connection paths are used for connecting part of model nodes to be detected.

S502: and determining the connection relation between different model nodes to be detected.

The descriptions of S501-S502 may be specifically referred to the above embodiments, and are not repeated herein.

S503: constructing an adjacency matrix according to the connection relation, wherein the adjacency matrix comprises: and the plurality of first elements describe the connection condition between different model nodes to be detected.

After determining the connection relationship between different model nodes to be detected, the embodiments of the present disclosure may construct an adjacency matrix according to the connection relationship, where the adjacency matrix may include: a plurality of elements, which may be referred to as first elements, wherein the first elements may be used to describe the connection situation between different model nodes to be detected.

For example, taking the connection relationship between a plurality of model nodes to be detected in the fluid network model of the nuclear power plant to be detected as shown in fig. 2 as an example, a corresponding adjacency matrix M (5, 5) is constructed, the rows of the adjacency matrix correspond to the model node serial numbers to be detected (1, 2,3,4, 5), the columns of the adjacency matrix also correspond to the model node serial numbers to be detected (1, 2,3,4, 5), the first element in the adjacency matrix describes the connection situation between different model nodes to be detected (1 indicates that there is a connection, 0 indicates that there is no connection), taking the model node to be detected 1 in fig. 2 as an example, the output of which is the model node to be detected 2 and the model node to be detected 3, so the corresponding first element in the 2 nd column and the third column of the 1 st row in the adjacency matrix is set to be 1, so the adjacency matrix can be expressed as:

s504: and determining a path starting point and a path ending point from a plurality of model nodes to be detected according to the first element.

After the adjacency matrix is constructed, the embodiment of the disclosure can determine the path starting point and the path ending point from a plurality of model nodes to be detected according to the first element in the adjacency matrix.

That is, after the adjacency matrix is constructed, the embodiments of the present disclosure may traverse the first element in the adjacency matrix from left to right in turn, and determine the path start point and the path end point from the plurality of model nodes to be detected in combination with the connection condition between the different model nodes to be detected described by the first element, which is not limited.

Alternatively, in other embodiments, the path start point and the path end point are determined from the plurality of model nodes to be detected according to the first element, and the connection condition described by the first element may also be indicated: when a plurality of model nodes to be detected are connected with the corresponding model nodes to be detected, the model nodes to be detected are used as path starting points and/or path ending points, and the first elements in the adjacent matrix are combined to determine the path starting points and the path ending points from the plurality of model nodes to be detected, so that the determination efficiency of the path starting points and the path ending points can be effectively improved, the determination effect of the path starting points and the path ending points can be effectively improved, the adjacent matrix can be flexibly adjusted in combination with the change of the nuclear power plant fluid network model, and the rapid determination of the path starting points and the path ending points from the plurality of model nodes to be detected can be realized when the adjacent matrix changes in the nuclear power plant fluid network model.

That is, in the embodiment of the present disclosure, the first element corresponding to each row in the adjacency matrix may be traversed to determine whether there are multiple model nodes to be detected connected to the model node to be detected corresponding to the row (i.e., whether there are two values of 1 in the nth row), and if so, this takes the model node to be detected described by the corresponding row as the path start point.

In the embodiment of the present disclosure, the first element corresponding to each column in the adjacency matrix may also be traversed to determine whether there are multiple model nodes to be detected connected to the model node to be detected corresponding to the column (i.e., whether there are two values of 1 in the nth column), and if there are, this takes the model node to be detected described corresponding to the column as a path starting point.

S505: and determining the next model node to be detected connected with the path starting point.

The output node connected with the path start point can be called as the next model node to be detected, namely, the fluid data in the fluid network model of the nuclear power plant to be detected can be output from the path start point to the next model node to be detected and then to the path end point, and the output node is not limited.

In the embodiment of the disclosure, the next model node to be detected connected to the path start point may be determined by calling a depth first search algorithm (Depth First Search, DFS), and searching the next model node to be detected connected to the path start point in the adjacency matrix, which is not limited thereto.

According to the embodiment of the disclosure, after determining a path starting point and a path ending point from a plurality of model nodes to be detected according to a first element in an adjacent matrix, the first element in the adjacent matrix may be continuously traversed to determine a next model node to be detected corresponding to the path starting point from the plurality of model nodes to be detected, that is, after determining a first row corresponding to the path starting point, elements of the first row in the adjacent matrix may be traversed in sequence, and when the first element with a value of 1 exists in the first row, a column corresponding to the first element is used as the next model node to be detected, which is connected with the path starting point, and this is not a limitation.

Optionally, after determining the next to-be-detected model node connected to the path starting point, the embodiment of the disclosure may further generate state information corresponding to the next to-be-detected model node, and update the initial access identifier matrix according to the corresponding state information to obtain the target access identifier matrix.

Wherein the initial access identification matrix comprises: and the second element can be used for describing the access state of the connection path between the to-be-detected model nodes correspondingly described by the corresponding rows and the to-be-detected model nodes correspondingly described by the corresponding columns, and the second element sketches the non-access state between the path starting point and the next to-be-detected model node.

The state information may be used to describe whether a connection path between the path start point and the next model node to be detected is accessed.

In the embodiment of the disclosure, after determining the next model node to be detected connected to the path start point, state information of the path start point corresponding to the next model node to be detected may be determined, and according to the state information, a second element that correspondingly describes the path start point and the connection path of the next model node to be detected is updated in the initial access identifier matrix, and the identifier matrix obtained by the updating is used as the target access identifier matrix.

Optionally, in some embodiments, the updating the initial access identifier matrix according to the corresponding state information to obtain the target access identifier matrix may be updating the non-access state in the access identifier matrix to the accessed state, and by updating the non-access state in the access identifier matrix to the accessed state, the traversing of the second element marked as the accessed state may be skipped in the executing process of the subsequent high closure detection method, so that the workload of traversing the second element may be effectively saved.

That is, after determining the next model node to be detected connected to the path start point, the embodiments of the present disclosure may determine state information of the path start point corresponding to the next model node to be detected, and update, according to the state information, a second element of the initial access identifier matrix, which correspondingly describes the path start point and the path connected to the next model node to be detected, from an unvisited state to an accessed state, thereby obtaining a target identifier matrix, which is not limited.

S506: and if the next model node to be detected is a path end point, taking the connection path between the path start point and the next model node to be detected as the connection path to be detected.

After determining the next model node to be detected connected to the path start point, the embodiment of the disclosure may determine whether the next model node to be detected is the path end point determined above, and when the next model node to be detected is the path end point, take the connection path between the path start point and the next model node to be detected as the connection path to be detected.

Optionally, after the connection path between the path starting point and the next model node to be detected is taken as the connection path to be detected, the embodiment of the disclosure may further determine the next model node to be detected connected to the path starting point according to the target access identifier matrix.

That is, in the embodiment of the present disclosure, after a connection path between a path start point and a next model node to be detected is taken as a connection path to be detected, the model node to be detected whose access state is an unaccessed state may be determined from a plurality of model nodes to be detected according to an access state of the connection path between the model node to be detected correspondingly described by a corresponding row indicated by a target access identifier matrix and the model node to be detected correspondingly described by a corresponding column, and the model node to be detected whose access state is an unaccessed state is taken as the next model node to be detected.

Optionally, in some embodiments, after the connection path between the path starting point and the next model node to be detected is taken as the connection path to be detected, when there is a second element indicating the unvisited state in the target access identifier matrix, the path starting point may also be taken as the next model node to be detected.

That is, when the second element indicating the unvisited state exists in the target access identifier matrix, the path starting point may be used as a next model node to be detected, in this case, it may be characterized that there is a path starting point before the model node to be detected, at this time, the model node to be detected may be traced back through the model node to be detected corresponding to the second element indicating the unvisited state in the target access identifier matrix, and when the tracing back is traversed until the model node to be detected is the path starting point, a connection path between the path starting point and the next model node to be detected is used as a connection path to be detected.

S507: and if the next model node to be detected is not the path end point, taking the next model node to be detected as the path start point.

After determining the next model node to be detected connected to the path start point, the disclosed embodiment may determine whether the next model node to be detected is the determined path end point, and when the next model node to be detected is not the path end point, take the next model node to be detected as the path start point, then trigger the next model node to be detected which is determined to be connected to the path start point and is described in S505-S506, and take the connection path between the path start point and the next model node to be detected as the connection path to be detected, so as to identify all the connection paths to be detected having the same path start point and path end point from a plurality of initial connection paths.

S508: and performing height detection on the first number of connecting paths to be detected to generate a height closing detection result of the nuclear power plant fluid network model.

The description of S508 may be specifically referred to the above embodiments, and will not be repeated here.

In this embodiment, the to-be-detected nuclear power plant fluid network model is obtained, where the to-be-detected nuclear power plant fluid network model includes: the method comprises the steps of a plurality of initial connection paths, wherein the initial connection paths are used for connecting part of model nodes to be detected, determining connection relations among different model nodes to be detected, constructing an adjacent matrix according to the connection relations, determining path starting points and path ending points from the plurality of model nodes to be detected according to first elements, effectively improving determination efficiency of the path starting points and the path ending points, effectively improving determination effects of the path starting points and the path ending points, determining next model nodes to be detected connected with the path starting points, taking the connection paths between the path starting points and the next model nodes to be detected as the connection paths to be detected when the next model nodes to be detected are the path ending points, taking the next model nodes to be detected as the path starting points when the next model nodes to be detected are not the path ending points, further effectively and fully determining the connection paths to be detected, and then carrying out high-degree detection on the first quantity of the connection paths to be detected so as to generate high-degree closed detection results of a nuclear power plant fluid network model.

Fig. 6 is a schematic structural diagram of a highly closed detection device for a fluid network model of a nuclear power plant according to an embodiment of the present disclosure.

As shown in fig. 6, the high closure detection device 60 for a fluid network model of a nuclear power plant includes:

the obtaining module 601 is configured to obtain a to-be-detected nuclear power plant fluid network model, where the to-be-detected nuclear power plant fluid network model includes: the system comprises a plurality of initial connection paths, a control device and a control device, wherein the initial connection paths are used for connecting part of model nodes to be detected, the model nodes to be detected describe control device information in a nuclear power plant fluid network, and describe connection conditions among control devices to which different control device information belongs;

the first determining module 602 is configured to determine a connection relationship between different model nodes to be detected, where the connection relationship is used to describe a fluid data flow condition between control devices to which different control device information belongs;

a second determining module 603, configured to determine a first number of connection paths to be detected from a plurality of initial connection paths according to the connection relationship;

the detection module 604 is configured to perform a height detection on the first number of connection paths to be detected, so as to generate a height closed detection result of the fluid network model of the nuclear power plant.

In some embodiments of the present disclosure, as shown in fig. 7, fig. 7 is a schematic structural diagram of a high closure detection device for a fluid network model of a nuclear power plant according to another embodiment of the present disclosure, where the second determining module 603 includes:

a first determining submodule 6031 for determining a path start point and a path end point from a plurality of model nodes to be detected according to the connection relation;

the second determining submodule 6032 is configured to determine a first number of connection paths to be detected from a plurality of initial connection paths according to a path start point and a path end point, where the first number of connection paths to be detected have the same path start point and path end point.

In some embodiments of the present disclosure, the first determination submodule 6031 is further configured to:

constructing an adjacency matrix according to the connection relation, wherein the adjacency matrix comprises: the first elements describe the connection conditions among different model nodes to be detected;

and determining a path starting point and a path ending point from a plurality of model nodes to be detected according to the first element.

the connection case described in the first element indicates: when a plurality of model nodes to be detected connected with the corresponding model nodes to be detected exist, the model nodes to be detected are used as a path starting point and/or a path ending point.

In some embodiments of the present disclosure, the second determining submodule 6032 is further configured to:

determining a next model node to be detected connected with the path starting point;

if the next model node to be detected is a path end point, taking a connection path between the path start point and the next model node to be detected as a connection path to be detected;

and if the next model node to be detected is not the path end point, taking the next model node to be detected as the path start point.

after determining the next model node to be detected connected with the path starting point, generating state information corresponding to the next model node to be detected;

updating the initial access identification matrix according to the corresponding state information to obtain a target access identification matrix;

after updating the path starting point according to the next model node to be detected, determining the next model node to be detected connected with the path starting point according to the target access identification matrix.

In some embodiments of the present disclosure, the initial access identification matrix comprises: the second element is configured to be in an unaccessed state between the path starting point and the next model node to be detected;

Wherein the second determining submodule 6032 is further configured to:

and updating the non-accessed state in the access identification matrix to the accessed state.

In some embodiments of the disclosure, the number of second elements is a plurality;

wherein the second determining submodule 6032 is further configured to:

after the connection path between the path start point and the next model node to be detected is taken as the connection path to be detected, if a second element indicating the unvisited state exists in the target access identification matrix, the path start point is taken as the next model node to be detected.

In some embodiments of the present disclosure, the detection module 604 includes:

a third determining submodule 6041, configured to determine height information of to-be-detected model nodes respectively related to the first number of to-be-detected connection paths;

a generating submodule 6042 is configured to generate a highly closed detection result of the fluid network model of the nuclear power plant according to the altitude information.

In some embodiments of the present disclosure, the generating submodule 6042 is further configured to:

and determining a consistency detection result among the plurality of height information as a height closure detection result.

Corresponding to the above-mentioned method for detecting the height closure of the fluid network model of the nuclear power plant provided by the embodiment of fig. 1 to 5, the present disclosure further provides a device for detecting the height closure of the fluid network model of the nuclear power plant, and since the device for detecting the height closure of the fluid network model of the nuclear power plant provided by the embodiment of the present disclosure corresponds to the method for detecting the height closure of the fluid network model of the nuclear power plant provided by the embodiment of fig. 1 to 5, the implementation of the method for detecting the height closure of the fluid network model of the nuclear power plant is also applicable to the device for detecting the height closure of the fluid network model of the nuclear power plant provided by the embodiment of the present disclosure, which is not described in detail in the embodiment of the present disclosure.

In order to achieve the above embodiments, the present disclosure further proposes an electronic device including: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the high closure detection method for the nuclear power plant fluid network model according to the embodiment of the disclosure.

To achieve the above embodiments, the present disclosure also proposes a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for highly closed detection for a nuclear power plant fluid network model as proposed in the foregoing embodiments of the present disclosure.

To achieve the above embodiments, the present disclosure also proposes a computer program product which, when executed by an instruction processor in the computer program product, performs a method for highly closed detection of a fluid network model of a nuclear power plant as proposed by the previous embodiments of the present disclosure.

Fig. 8 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present disclosure. The electronic device 12 shown in fig. 8 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.

As shown in fig. 8, the electronic device 12 is in the form of a general purpose computing device. Components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.

Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include industry Standard architecture (Industry Standard Architecture; hereinafter ISA) bus, micro channel architecture (Micro Channel Architecture; hereinafter MAC) bus, enhanced ISA bus, video electronics standards Association (Video Electronics Standards Association; hereinafter VESA) local bus, and peripheral component interconnect (Peripheral Component Interconnection; hereinafter PCI) bus.

Electronic device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.

Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter: RAM) 30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, commonly referred to as a "hard disk drive").

Although not shown in fig. 8, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a compact disk read only memory (Compact Disc Read Only Memory; hereinafter CD-ROM), digital versatile read only optical disk (Digital Video Disc Read Only Memory; hereinafter DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure.

A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods in the embodiments described in this disclosure.

The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the electronic device 12, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks, such as a local area network (Local Area Network; hereinafter: LAN), a wide area network (Wide Area Network; hereinafter: WAN) and/or a public network, such as the Internet, via the network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 over the bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

The processing unit 16 performs various functional applications and data processing by running programs stored in the system memory 28, such as implementing the highly closed detection method for a nuclear power plant fluid network model mentioned in the previous embodiments.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

It should be noted that in the description of the present disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.

In the description of the present specification, a description referring to terms "one embodiment," "some 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 present disclosure. 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.

Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.

Claims

1. A method for highly closed detection of a fluid network model of a nuclear power plant, comprising:

obtaining a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: the system comprises a plurality of initial connection paths, a control device and a control device, wherein the initial connection paths are used for connecting part of model nodes to be detected, the model nodes to be detected describe control device information in a nuclear power plant fluid network, and the initial connection paths describe connection conditions between control devices to which different control device information belongs;

Determining a connection relation between different model nodes to be detected, wherein the connection relation is used for describing fluid data circulation conditions between control equipment to which different control equipment information belongs;

determining a first number of connection paths to be detected from the plurality of initial connection paths according to the connection relationship; and

performing height detection on the first number of connecting paths to be detected to generate a height closing detection result of a nuclear power plant fluid network model;

the step of detecting the height of the first number of connection paths to be detected to generate a height closing detection result of the fluid network model of the nuclear power plant includes:

determining height information of the model nodes to be detected, which are respectively related to the first number of connecting paths to be detected;

and determining a consistency detection result among a plurality of the height information as the height closing detection result.

2. The method of claim 1, wherein the determining a first number of connection paths to be detected from the plurality of initial connection paths based on the connection relationship comprises:

determining a path starting point and a path ending point from a plurality of model nodes to be detected according to the connection relation;

And determining the first number of connection paths to be detected from the plurality of initial connection paths according to the path starting point and the path ending point, wherein the first number of connection paths to be detected have the same path starting point and path ending point.

3. The method of claim 2, wherein determining a path start point and a path end point from a plurality of the model nodes to be detected according to the connection relation comprises:

constructing an adjacency matrix according to the connection relation, wherein the adjacency matrix comprises: a plurality of first elements describing connection conditions between different model nodes to be detected;

and determining the path starting point and the path ending point from a plurality of model nodes to be detected according to the first element.

4. A method according to claim 3, wherein said determining said path start point and said path end point from a plurality of said model nodes to be detected based on said first element comprises:

the connection case described in the first element indicates: when a plurality of to-be-detected model nodes connected with the to-be-detected model nodes exist corresponding to the to-be-detected model nodes, the to-be-detected model nodes are used as the path starting points and/or the path ending points.

5. The method of claim 3, wherein said determining the first number of connection paths to be detected from the plurality of initial connection paths based on the path start point and the path end point comprises:

if the next model node to be detected is the path end point, taking a connection path between the path start point and the next model node to be detected as the connection path to be detected;

6. The method of claim 5, further comprising, after said determining a next model node to be detected that is connected to said path start point:

generating state information corresponding to the next model node to be detected;

wherein after the connection path between the path starting point and the next model node to be detected is used as the connection path to be detected, the method further comprises:

And determining the next model node to be detected connected with the path starting point according to the target access identification matrix.

7. The method of claim 6, wherein the initial access identification matrix comprises: a second element describing a state configured as not visited between the path start point and the next model node to be detected;

the updating the initial access identification matrix according to the corresponding state information to obtain a target access identification matrix includes:

updating the non-access state in the access identification matrix to an accessed state.

8. The method of claim 7, wherein the number of second elements is a plurality;

and if a second element indicating the unvisited state exists in the target access identification matrix, taking the path starting point as the next model node to be detected.

9. A highly closed detection device for a fluid network model of a nuclear power plant, comprising:

The acquisition module is used for acquiring a nuclear power plant fluid network model to be detected, wherein the nuclear power plant fluid network model to be detected comprises: the system comprises a plurality of initial connection paths, a control device and a control device, wherein the initial connection paths are used for connecting part of model nodes to be detected, the model nodes to be detected describe control device information in a nuclear power plant fluid network, and the initial connection paths describe connection conditions between control devices to which different control device information belongs;

the first determining module is used for determining the connection relation between different model nodes to be detected, wherein the connection relation is used for describing the fluid data circulation situation between control equipment to which different control equipment information belongs;

the second determining module is used for determining a first number of connecting paths to be detected from the plurality of initial connecting paths according to the connecting relation; and

the detection module is used for detecting the heights of the first number of connecting paths to be detected so as to generate a height closed detection result of the nuclear power plant fluid network model;

wherein, detection module includes:

a third determining submodule, configured to determine height information of the model nodes to be detected, which are respectively related to the first number of connection paths to be detected;

And the generation sub-module is used for determining consistency detection results among a plurality of the height information as the height closing detection results.

10. The apparatus of claim 9, wherein the second determination module comprises:

the first determining submodule is used for determining a path starting point and a path ending point from a plurality of model nodes to be detected according to the connection relation;

and the second determining submodule is used for determining the first number of connecting paths to be detected from the plurality of initial connecting paths according to the path starting point and the path ending point, wherein the first number of connecting paths to be detected have the same path starting point and path ending point.

11. The apparatus of claim 10, wherein the first determination submodule is specifically configured to:

12. The apparatus of claim 11, wherein the first determination submodule is further to:

13. The apparatus of claim 11, wherein the second determination submodule is further to:

14. The apparatus of claim 13, wherein the second determination submodule is further to:

after the next model node to be detected connected with the path starting point is determined, generating state information corresponding to the next model node to be detected;

And after updating the path starting point according to the next model node to be detected, determining the next model node to be detected connected with the path starting point according to the target access identification matrix.

15. The apparatus of claim 14, wherein the initial access identification matrix comprises: a second element describing a state configured as not visited between the path start point and the next model node to be detected;

wherein the second determination submodule is further configured to:

16. The apparatus of claim 15, wherein the number of second elements is a plurality;

wherein the second determination submodule is further configured to:

and after the connection path between the path starting point and the next model node to be detected is used as the connection path to be detected, if a second element indicating the unvisited state exists in the target access identification matrix, the path starting point is used as the next model node to be detected.

17. An electronic device, comprising:

at least one processor; and

A memory communicatively coupled to the at least one processor; wherein,,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.

18. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-8.