Quality evaluation method and device for nuclear power station design scheme, equipment and storage medium

Abstract

The embodiment of the invention provides a quality evaluation method and device for a nuclear power station design scheme, equipment and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring design defect data of nuclear power plant design scheme data; wherein the nuclear power plant design scheme data represents arrangement and layout of nuclear power equipment and nuclear power areas arranged in the nuclear power plant, and the design defect data represents defects existing in the generation and use stages of the nuclear power design scheme data; performing grading processing on the design defect data to obtain defect grade information; performing design quality evaluation according to the defect level information and the design defect data to obtain preliminary quality evaluation data; splicing the preliminary quality evaluation data to obtain target quality evaluation data of the nuclear power plant design scheme data; and adjusting the nuclear power plant design scheme data according to the target quality evaluation data. According to the embodiment of the invention, quality evaluation can be automatically carried out on the nuclear power station design scheme, manpower is saved, and evaluation accuracy is improved.

Description

Technical Field

[0001] The present application relates to the field of nuclear power plant management technology, and in particular to a quality assessment method and device, equipment and storage medium for a nuclear power plant design scheme. Background Art

[0002] Before building a nuclear power plant, it is necessary to conduct a quality assessment of the design plan of the nuclear power plant to ensure that the quality assessment data of the design plan meets the design requirements before constructing the nuclear power plant based on the design plan to ensure the safety of the nuclear power plant construction.

[0003] In the related art, the evaluation of nuclear power plant design schemes is mainly carried out manually, based on the reviewer's review opinions on the nuclear power plant design schemes. However, manual evaluation requires a lot of manpower, and the evaluation process is guided by people's subjective opinions, requiring experienced reviewers. If the reviewer is inexperienced, the accuracy of the nuclear power plant design evaluation will be affected. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to propose a quality assessment method and device, equipment and storage medium for a nuclear power plant design scheme, aiming to reduce the manpower required for nuclear power plant design assessment and improve the accuracy of the assessment.

[0005] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present application proposes a quality assessment method for a nuclear power plant design scheme, the method comprising:

[0006] Acquire design defect data of nuclear power plant design scheme data; wherein the nuclear power plant design scheme data represents the setting and layout of nuclear power equipment and nuclear power areas in the nuclear power plant setting, and the design defect data represents defects existing in the generation and use stages of the nuclear power design scheme data;

[0007] Performing classification processing on the design defect data to obtain defect level information;

[0008] Performing a design quality assessment based on the defect level information and the design defect data to obtain preliminary quality assessment data;

[0009] The preliminary quality assessment data are spliced ​​to obtain target quality assessment data of the nuclear power plant design scheme data;

[0010] The nuclear power plant design plan data is adjusted according to the target quality assessment data.

[0011] In some embodiments, performing design quality assessment according to the defect level information and the design defect data to obtain preliminary quality assessment data includes:

[0012] Screening out a selected quality weight coefficient from preset candidate quality weight coefficients according to the defect level information;

[0013] The design defect data are spliced ​​according to the selected quality weight coefficient to obtain the preliminary quality assessment data.

[0014] In some embodiments, the preliminary quality assessment data is the quality assessment data of each key design node, and the key design nodes include: document review nodes, quality inspection nodes and design change nodes; the design defect data include: document review defect data, quality inspection defect data and design change defect data; the preliminary quality assessment data include: document review quality assessment data, quality inspection quality assessment data and design change quality assessment data;

[0015] The step of splicing the design defect data according to the selected quality weight coefficient to obtain the preliminary quality assessment data comprises any one of the following steps:

[0016] The document review defect data are spliced ​​according to the selected quality weight coefficient to obtain the document review quality assessment data of the document review node;

[0017] The quality inspection defect data are spliced ​​according to the selected quality weight coefficient to obtain the quality inspection quality assessment data of the quality inspection node;

[0018] The design change defect data is spliced ​​according to the selected quality weight coefficient to obtain the design change quality assessment data of the design change node.

[0019] In some embodiments, the step of splicing the preliminary quality assessment data to obtain target quality assessment data of the nuclear power plant design solution data includes:

[0020] Acquire design node information of the preliminary quality assessment data; wherein the design node information indicates to which of the design key nodes the preliminary quality assessment data belongs;

[0021] Filtering a selected node weight coefficient from preset candidate node weight coefficients according to the design node information;

[0022] The preliminary quality assessment data are spliced ​​according to the selected node weight coefficients to obtain target quality assessment data of the nuclear power plant design scheme data.

[0023] In some embodiments, after the preliminary quality assessment data are spliced ​​according to the selected node weight coefficients to obtain the target quality assessment data of the nuclear power plant design solution data, the method further includes:

[0024] Acquire the target quality assessment data of the current time period to obtain first quality assessment data;

[0025] Acquire the target quality assessment data of a historical time period to obtain second quality assessment data; wherein the historical time period includes the current time period and a time period before the current time period;

[0026] Adjusting the selected node weight coefficient according to the first quality assessment data and the second quality assessment data to obtain an updated node weight coefficient;

[0027] The target quality assessment data is updated according to the update node weight coefficient.

[0028] In some embodiments, adjusting the selected node weight coefficient according to the first quality assessment data and the second quality assessment data to obtain an updated node weight coefficient includes:

[0029] Performing fitting processing on the first quality assessment data to obtain a first fitting curve;

[0030] Obtaining the slope of the first fitting curve to obtain a first slope;

[0031] Performing fitting processing on the second quality assessment data to obtain a second fitting curve;

[0032] Obtaining the slope of the second fitting curve to obtain a second slope;

[0033] The selected node weight coefficient is adjusted according to the first slope, the second slope and preset constraint data to obtain the updated node weight coefficient.

[0034] In some embodiments, the step of performing grading processing on the design defect data to obtain defect level information includes:

[0035] Performing defect severity measurement on the design defect data to obtain defect severity measurement data;

[0036] The design defect data is graded according to the defect severity measurement data and a preset severity threshold to obtain the defect level information.

[0037] To achieve the above-mentioned purpose, a second aspect of an embodiment of the present application proposes a quality assessment device for a nuclear power plant design scheme, the device comprising:

[0038] A data acquisition module is used to acquire design defect data of nuclear power plant design scheme data; wherein the nuclear power plant design scheme data represents the layout of nuclear power equipment and nuclear power areas in the nuclear power plant, and the design defect data represents defects existing in the generation and use stages of the nuclear power design scheme data;

[0039] A grading module, used to perform grading processing on the design defect data to obtain defect level information;

[0040] A quality assessment module, used to perform a design quality assessment based on the defect level information and the design defect data to obtain preliminary quality assessment data;

[0041] A splicing module, used for splicing the preliminary quality assessment data to obtain target quality assessment data of the nuclear power plant design scheme data;

[0042] A scheme adjustment module is used to adjust the nuclear power plant design scheme data according to the target quality assessment data.

[0043] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes a computer device, which includes a memory and a processor, the memory stores a computer program, and the processor implements the method described in the first aspect when executing the computer program.

[0044] To achieve the above-mentioned purpose, the fourth aspect of an embodiment of the present application proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in the first aspect is implemented.

[0045] The quality assessment method, device, equipment and storage medium of the nuclear power plant design scheme proposed in this application obtains the design defect data generated in the generation and use stages of the nuclear power plant design scheme data, and performs graded processing on the design defect data to obtain defect level information, so as to perform design quality assessment based on the defect level information and design defect data to obtain preliminary quality assessment data, thereby realizing the automated assessment of the nuclear power design scheme. Then, the preliminary quality assessment data is spliced ​​into target quality assessment data to realize the automated quality assessment of the nuclear power plant design scheme data, saving manpower and improving the accuracy of quality assessment. Finally, the nuclear power plant design scheme data is optimized according to the target quality assessment data to realize the automated optimization of the design scheme and obtain a nuclear power plant design scheme with better quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flow chart of a quality assessment method for a nuclear power plant design scheme provided in an embodiment of the present application;

[0047] Figure 2 yes Figure 1Flow chart of step S102 in FIG.

[0048] Figure 3 yes Figure 1 Flow chart of step S103 in FIG.

[0049] Figure 4 yes Figure 1 Flow chart of step S104 in FIG.

[0050] Figure 5 is a flow chart of a quality assessment method for a nuclear power plant design scheme provided by another embodiment of the present application;

[0051] Figure 6 is a flow chart of a quality assessment method for a nuclear power plant design scheme provided by another embodiment of the present application;

[0052] Figure 7 It is a structural schematic diagram of a quality assessment device for a nuclear power plant design scheme provided in an embodiment of the present application;

[0053] Figure 8 It is a schematic diagram of the hardware structure of the computer device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0057] First, some nouns involved in this application are analyzed:

[0058] Design of nuclear power plants: Specifically the site characteristics, operational aspects and future decommissioning plans of nuclear power plants to achieve the highest level of safety. The goal of design is to ensure that nuclear power plants operate safely and efficiently, minimize the possibility of accidents, and ensure that their consequences can be reliably mitigated.

[0059] Design Evolution Notice (DEN): A document used in engineering and manufacturing to notify all relevant parties of changes in product or project design. This notification is part of the project management and design control process, ensuring that all relevant personnel are aware of the latest status of the design and can adjust their work in a timely manner to accommodate these changes.

[0060] Hierarchical Weighting Algorithm (HWA): is a multi-criteria decision support method used to evaluate and rank alternatives when there are multiple objectives or criteria. This algorithm is particularly suitable when the decision problem can be decomposed into multiple hierarchical levels, where each level contains different criteria or sub-criteria.

[0061] The quality of the design scheme of a nuclear power plant is the basic guarantee for the safe and reliable operation of the nuclear power plant. In order to improve the quality of the design scheme, it is necessary to conduct a quality assessment of the design scheme of the nuclear power plant to analyze whether the design scheme meets the safety requirements. The quality assessment of the design scheme of a traditional nuclear power plant is mainly in the review stage, which is mainly based on the opinions of the reviewer and the auditor. However, manual review not only consumes a lot of manpower, but also affects the accuracy of the quality assessment. In the related technology, there is an automatic design and quality assessment management system for architectural drawings. The building structure information and electromechanical equipment information on each floor of the preliminary project plan drawings are used to generate a building structure location plan and electromechanical equipment location plan with three-dimensional coordinate information through a BIM model and a plan generation software to evaluate and classify the building structure location plan and the electromechanical equipment location plan. However, the quality assessment of the architectural plan only considers the big data of the design input, does not consider the quality feedback data after the design results are applied, and does not make a comprehensive quality assessment of the architectural plan, which affects the accuracy of the quality assessment.

[0062] Based on this, the embodiments of the present application provide a quality assessment method and device, equipment and storage medium for a nuclear power plant design plan, aiming to realize the automated assessment of the nuclear power plant design plan, and the assessment process will be based on the defect data of the nuclear power plant plan generation and use stages to achieve comprehensive quality assessment of the nuclear power plant and improve the accuracy of quality assessment.

[0063] The quality assessment method, device, equipment and storage medium of the nuclear power plant design scheme provided in the embodiments of the present application are specifically illustrated through the following embodiments. First, the quality assessment method of the nuclear power plant design scheme in the embodiments of the present application is described.

[0064] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0065] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0066] The quality assessment method of the nuclear power plant design scheme provided in the embodiment of the present application relates to the field of nuclear power plant management technology. The quality assessment method of the nuclear power plant design scheme provided in the embodiment of the present application can be applied to the terminal, can also be applied to the server side, and can also be software running in the terminal or the server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or it can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application of the quality assessment method for implementing the nuclear power plant design scheme, etc., but is not limited to the above forms.

[0067] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0068] Figure 1is an optional flow chart of a quality assessment method for a nuclear power plant design scheme provided in an embodiment of the present application, Figure 1 The method may include but is not limited to steps S101 to S105.

[0069] Step S101, obtaining design defect data of nuclear power plant design scheme data; wherein the nuclear power plant design scheme data represents the setting and layout of nuclear power equipment and nuclear power areas in the nuclear power plant setting, and the design defect data represents defects existing in the generation and use stages of the nuclear power design scheme data;

[0070] Step S102, performing classification processing on the design defect data to obtain defect level information;

[0071] Step S103, performing design quality assessment according to the defect level information and the design defect data to obtain preliminary quality assessment data;

[0072] Step S104, performing splicing processing on the preliminary quality assessment data to obtain target quality assessment data of the nuclear power plant design scheme data;

[0073] Step S105, adjusting the nuclear power plant design solution data according to the target quality assessment data.

[0074] Steps S101 to S105 shown in the embodiment of the present application collect design defect data of the nuclear power plant design scheme data, and perform classification processing on the design defect data to obtain defect level information, and perform design quality assessment based on the defect level information and design defect data to obtain preliminary quality assessment data, thereby realizing automated quality assessment of the automated design scheme. Then, multiple preliminary quality assessment data are spliced ​​into target quality assessment data, and the nuclear power plant design scheme data is adjusted according to the target quality assessment data to realize automatic assessment of the nuclear power plant design scheme, and the assessment is based on the design defect data generated during the generation and use stages of the nuclear power plant design scheme data, so as to realize a more accurate assessment of the design scheme. At the same time, the nuclear power plant design scheme data is optimized with more accurate assessment data to obtain higher quality nuclear power plant design scheme data.

[0075] In step S101 of some embodiments, the nuclear power plant design plan data characterizes the settings and layout of the nuclear power equipment and nuclear power areas in the nuclear power plant. Some defect data will be generated in the process of generating the nuclear power plant design plan data, and feedback defect data will also be received in the process of using the nuclear power plant design plan data. By combining the defect data in the process of generating and using the nuclear power plant design plan data into design defect data, quality assessment is performed using the defect data generated from the entire life cycle of the nuclear power plant design, thereby enabling a comprehensive assessment of the quality of the design plan.

[0076] It should be noted that the generation and use of nuclear power plant design data is divided into the document review stage, quality inspection stage and design change stage. Therefore, the comprehensive use of the design defect data related to quality assessment generated in the document review stage, quality inspection stage and design change stage, and the design quality assessment through the design defect data can achieve a comprehensive assessment of the nuclear power design plan.

[0077] See also Figure 2 In some embodiments, step S102 may include but is not limited to steps S201 to S202:

[0078] Step S201, performing defect severity measurement on the design defect data to obtain defect severity measurement data;

[0079] Step S202 , classifying the design defect data according to the defect severity measurement data and a preset severity threshold to obtain defect level information.

[0080] In step S201 of some embodiments, the defect severity metric data characterizes the severity of the design defect data, and the defect severity metric is a measure of the degree of influence of the design defect data on the quality of the nuclear power plant design scheme data. It should be noted that the design defect data is also called the number of errors, which characterizes the error information existing in the process of generating the nuclear power plant design scheme data. Then the defect severity metric data is used to determine whether the error information is a general error, a technical error or a principle error, so as to classify the error information by severity.

[0081] In step S202 of some embodiments, the defect severity metric data is compared with the severity threshold, and the severity threshold can be set according to the number of level divisions. It should be noted that if N defect level information is set, N-1 severity thresholds are set to achieve level division of design defect data. For example, if the defect level information is set to 3, the severity threshold is set to 2, and the 2 severity thresholds are defined as the first threshold and the second threshold. If the defect severity metric data is less than the first threshold, the defect level information is determined to be level one; if the defect severity metric data is greater than the first threshold and less than the second threshold, the defect level information is determined to be level two; if the defect severity metric data is greater than the second threshold, the defect level information is determined to be level three.

[0082] Specifically, error information is divided into general errors, technical errors or principle errors, and defect level information can be divided into small defect level, medium defect level and large defect level accordingly. Therefore, the higher the defect level information, the more serious the design defect data is.

[0083] In steps S201 to S202 shown in this embodiment, defect severity measurement data is obtained by performing defect severity measurement on the design defect data, and defect level information of each design defect data is determined based on the defect severity measurement data and the severity threshold, so that the defect severity degree is represented by the defect level information, so that a more accurate quality assessment can be made in combination with the defect severity degree when performing quality assessment.

[0084] See also Figure 3 In some embodiments, step S103 may include but is not limited to steps S301 to S302:

[0085] Step S301, selecting a selected quality weight coefficient from preset candidate quality weight coefficients according to defect level information;

[0086] Step S302, splicing the design defect data according to the selected quality weight coefficient to obtain preliminary quality assessment data.

[0087] In step S301 of some embodiments, different candidate quality weight coefficients of defect level information are different, that is, different candidate quality weight coefficients are set for different defect severity. Selected quality weight coefficients that match the defect level information are screened out from the candidate quality weight coefficients. For example, if the defect level information is divided into level one, level two, and level three, the corresponding selected quality weight coefficients are defined as k1, k2, and k3. It should be noted that the candidate quality weight coefficient corresponding to each defect level information is pre-set, specifically according to the particularity of the nuclear power plant design process.

[0088] In step S302 of some embodiments, there are at least two selected quality weight coefficients and at least two design defect data. The preliminary quality assessment data is obtained by multiplying each selected quality weight coefficient and the corresponding design defect data and then summing them.

[0089] In steps S301 to S302 shown in this embodiment, a selected quality weight coefficient matching the defect level information is first selected from the candidate quality weight coefficients, and then preliminary quality assessment data is obtained by weighted summation of the selected quality weight coefficient and the design defect data, so that the preliminary quality assessment data is easy to construct and can accurately characterize the quality of the nuclear power plant design process.

[0090] It should be noted that the preliminary quality assessment data is the quality assessment data of each key design node, and the key design nodes include: document review nodes, quality inspection nodes and design change nodes; the design defect data include: document review defect data, quality inspection defect data and design change defect data; the preliminary quality assessment data include: document review quality assessment data, quality inspection quality assessment data and design change quality assessment data. Specifically, the document review node represents the document review stage of the nuclear power plant design scheme data, the quality inspection node represents the quality inspection stage of the nuclear power plant design scheme data, and the design change node is the design change stage of the nuclear power plant design scheme data. The document review quality assessment data represents the degree of influence of defects generated in the document review stage on the quality of the nuclear power plant design scheme data, the quality inspection quality assessment data represents the degree of influence of defects generated in the quality inspection stage on the quality of the nuclear power plant design scheme data, and the design change quality assessment data represents the degree of influence of defects generated in the design change stage on the quality of the nuclear power plant design scheme data.

[0091] In some embodiments, step S103 may include but is not limited to any of the following steps:

[0092] The document review defect data is spliced ​​according to the selected quality weight coefficient to obtain the document review quality assessment data of the document review node;

[0093] The quality inspection defect data is spliced ​​according to the selected quality weight coefficient to obtain the quality inspection quality assessment data of the quality inspection node;

[0094] The design change defect data are spliced ​​according to the selected quality weight coefficient to obtain the design change quality assessment data of the design change node.

[0095] It should be noted that the file verification defect data is the number of error information generated by the file review node. The file verification defect data is defined as the review error information. The number of review error information corresponding to each defect level information is different, so the selected quality weight coefficient corresponding to each review error information is different. The selected quality weight coefficient and the file review defect data are spliced, that is, the number corresponding to each review error information is weighted and summed according to the selected weight coefficient to obtain the file review quality assessment data. For example, at the file review node, there are 3 selected quality weight coefficients, which are defined as k 11 , k 12 and k 13 , and there are also 3 proofreading error information. The quantities corresponding to the three proofreading error information are defined as a1, a2 and a3. The document proofreading quality assessment data is defined as E a , so the document review evaluation data is determined as shown in formula (1):

[0096] Ea =k 11 ∑a1+k 12 ∑a2+k 13 ∑a3 (1)

[0097] As disclosed above, the quality inspection defect data is the number of error information generated by the quality inspection node, and the quality inspection defect data is defined as quality error information. The number of quality error information corresponding to each defect level information is different, so the selected quality weight coefficient corresponding to each quality error information is different. The quality inspection defect data is spliced ​​according to the selected quality weight coefficient, that is, the number of quality error information is weighted and summed according to the selected quality weight coefficient to obtain the quality inspection quality assessment data. For example, at the quality inspection node, there are 3 selected quality weight coefficients, which are defined as k 21 , k 22 and k 23 , and there are also 3 proofreading error information. The quantities corresponding to the three proofreading error information are defined as b1, b2 and b3. The quality inspection quality assessment data is defined as E b , so the quality inspection quality assessment data is determined as shown in formula (2):

[0098] E b =k 21 ∑b1+k 22 ∑b2+k 23 ∑b3 (2)

[0099] Specifically, the design change quality assessment data is the number of error information generated by the design change node, and the design change defect data is defined as the design change error information. The number of design change error information corresponding to each defect level information is different, so the selected quality weight coefficient corresponding to each design change error information is different. The design change defect data is spliced ​​according to the selected quality weight coefficient, that is, the number of design change error information is weighted and summed according to the selected quality weight coefficient to obtain the design change quality assessment data. For example, at the design change node, there is 1 selected quality weight coefficient, which is defined as k3, and there is also 1 design change information, which is defined as c. The design change quality assessment data is defined as E c , so the design change quality assessment data is determined as shown in formula (3):

[0100] E c =k3∑c (3)

[0101] Therefore, quality assessment is carried out on the file review nodes, quality inspection nodes and design change nodes of the nuclear power plant design plan data respectively, so as to achieve a comprehensive quality assessment of the nuclear power plant design plan data.

[0102] See also Figure 4In some embodiments, step S104 may include but is not limited to steps S401 to S403:

[0103] Step S401, obtaining design node information of preliminary quality assessment data; wherein the design node information indicates to which key design node the preliminary quality assessment data belongs;

[0104] Step S402, selecting a selected node weight coefficient from preset candidate node weight coefficients according to the design node information;

[0105] Step S403, splicing the preliminary quality assessment data according to the selected node weight coefficients to obtain target quality assessment data of the nuclear power plant design solution data.

[0106] In step S401 of some embodiments, the design link information indicates to which key design node the preliminary quality assessment data belongs, specifically at least one of a file review node, a quality inspection node, and a design change node.

[0107] In steps S402 to S403 of some embodiments, different design node information corresponds to different candidate node quality weight coefficients, which characterizes the importance of errors occurring at different key design nodes on the quality of nuclear power plant design solution data. Specifically, a selected node weight coefficient matching the design node information is selected from the candidate node weight coefficients, and then the preliminary quality assessment data is spliced ​​based on the selected node weight coefficients, and the splicing method can be a weighted sum algorithm, an average algorithm, or a hierarchical weight algorithm.

[0108] For example, there are three preliminary quality assessment data, which are defined as document review quality assessment data, quality inspection quality assessment data, and design change quality assessment data. This embodiment uses a hierarchical weight algorithm to calculate the document review quality assessment data, quality inspection quality assessment data, and design change quality assessment data to generate target quality assessment data. The target quality assessment data generation process is shown in formula (4):

[0109]

[0110] Where E is the target quality assessment data, K a is the selected node weight coefficient corresponding to the file review node, K b is the selected node weight coefficient of the quality inspection node, K cis the selected node weight coefficient of the design change node, and S is the number of all data in the process of generating and using the nuclear power plant design scheme data. It can be seen that the target quality assessment data is a probability with a value in the range of 0-1, which characterizes the error probability in the process of generating and using the nuclear power plant design scheme data, and can more accurately characterize the quality of the nuclear power plant design scheme data.

[0111] In steps S401 to S403 shown in this embodiment, different selected node weight coefficients are configured for different key design nodes, and then based on the selected node weight coefficients, multiple preliminary quality assessment data are calculated using a hierarchical weight algorithm to obtain target quality assessment data, so that the quality assessment of the nuclear power plant design scheme data is more accurate.

[0112] In step S105 of some embodiments, the nuclear power plant design plan data is adjusted according to the target quality assessment data, that is, the number and layout of nuclear power equipment and nuclear power areas in the nuclear power plant design plan data are adjusted until the target quality assessment data meets the preset quality requirement threshold, so as to obtain a nuclear power plant design plan with better safety and quality.

[0113] See also Figure 5 In some embodiments, after step S105, the quality assessment method of the nuclear power plant design scheme may also include but is not limited to steps S501 to S504:

[0114] Step S501, obtaining target quality assessment data of the current time period to obtain first quality assessment data;

[0115] Step S502, obtaining target quality assessment data of a historical time period to obtain second quality assessment data; wherein the historical time period includes a current time period and a time period before the current time period;

[0116] Step S503, adjusting the selected node weight coefficient according to the first quality assessment data and the second quality assessment data to obtain an updated node weight coefficient;

[0117] Step S504: updating the target quality assessment data according to the updated node weight coefficient.

[0118] As disclosed above, the design quality defects in the design of nuclear power plants lead to a certain lag after the design changes occur, so the accuracy of the target quality assessment data can be analyzed based on the comparison of the target quality assessment data of two adjacent time periods. It should be noted that because the design scheme of a nuclear power plant will take a long time from its generation to its use, the quality assessment gap of the nuclear power plant design scheme will not be too large during this period. If the quality assessment gap is too large, it means that the weight coefficient of the selected node is too large, and the weight coefficient of the selected node needs to be adjusted to update the target quality assessment data.

[0119] In steps S501 to S502 of some embodiments, target quality assessment data of the current time period and the historical time period are collected respectively, and the target quality assessment data of the current time period is defined as the first quality assessment data, and the target quality assessment data of the historical time period is defined as the second quality assessment data, so as to determine the accuracy of the current nuclear power plant design scheme data assessment by comparing the first quality assessment data and the second quality assessment data. It should be noted that the current time period is a time period from the current time to the previous preset time period, and the historical time period is a time period earlier than the current time period. For example, if the current time period is the last year, then the historical time period is the last year and a half, and the accuracy of the target quality assessment data is analyzed by comparing the target quality assessment data of the last year and the last year and a half.

[0120] In steps S503 to S504 of some embodiments, the weight coefficient of the selected node is adjusted according to the first quality assessment data and the second quality assessment data to obtain the updated node weight coefficient, and then the target quality assessment data is updated according to the updated node weight coefficient, so that the quality assessment of the nuclear power plant design scheme is more accurate. It should be noted that after the selected node weight coefficient is updated, it is also convenient to make the subsequent quality assessment of the nuclear power plant design scheme data more accurate.

[0121] In steps S501 to S504 shown in this embodiment, the target quality assessment data of two adjacent time periods are selected to optimize the weight coefficient of the selected node, so as to update the target quality assessment data and achieve more accurate quality assessment of the nuclear power plant design scheme.

[0122] See also Figure 6 In some embodiments, after step S503, the quality assessment method of the nuclear power plant design scheme may also include but is not limited to steps S601 to S605:

[0123] Step S601, performing fitting processing on the first quality assessment data to obtain a first fitting curve;

[0124] Step S602, obtaining the slope of the first fitting curve to obtain a first slope;

[0125] Step S603, performing fitting processing on the second quality assessment data to obtain a second fitting curve;

[0126] Step S604, obtaining the slope of the second fitting curve to obtain a second slope;

[0127] Step S605 , adjusting the selected node weight coefficient according to the first slope, the second slope and the preset constraint data to obtain an updated node weight coefficient.

[0128] In some embodiments, in steps S601 to S604, there are multiple first quality assessment data and multiple second quality assessment data, and multiple first quality assessment data are fitted into a first fitting curve, and multiple second quality assessment data are fitted into a second fitting curve. The first slope of the first fitting curve and the second slope of the second fitting curve are obtained to determine the difference in quality assessment of the nuclear power plant design scheme data in the entire cycle through the first slope and the second slope.

[0129] In step S605 of some embodiments, the weight coefficient of the selected node is adjusted based on the first slope, the second slope and the constraint condition to achieve an optimization operation of the weight coefficient of the selected node. It should be noted that three constraints are set, and three weight coefficients of the selected node are also set, namely K a , K b and K c , the three constraints are:

[0130] The first constraint: K a , K b and K c All are integers;

[0131] The second constraint: K a <K b <K c <100K a ;

[0132] The third constraint: K b and K c 5K a An integer multiple of .

[0133] It should be noted that, according to the three constraints as the boundary, the first slope and the second slope are used to select the node weight coefficient K a , K b and K c Adjust the second slope to be close to the first slope to complete the selected node weight coefficient K a , K b and K c of adjustment.

[0134] In steps S601 to S605 shown in this embodiment, the target quality assessment data of the two time periods are fitted into two fitting curves respectively, and then the weight coefficients of the selected nodes are optimized based on the slopes and constraints of the two fitting curves, so that the quality assessment of the nuclear power plant design scheme data can be more accurate with the optimized weight coefficients of the selected nodes.

[0135] See also Figure 7The embodiment of the present application also provides a quality assessment device for a nuclear power plant design scheme, which can implement the quality assessment method for the nuclear power plant design scheme, and the device includes:

[0136] The data acquisition module 701 is used to acquire design defect data of the nuclear power plant design scheme data; wherein the nuclear power plant design scheme data represents the layout of the nuclear power equipment and nuclear power area in the nuclear power plant, and the design defect data represents the defects existing in the generation and use stages of the nuclear power design scheme data;

[0137] The classification module 702 is used to classify the design defect data to obtain defect level information;

[0138] The quality assessment module 703 is used to perform design quality assessment based on the defect level information and the design defect data to obtain preliminary quality assessment data;

[0139] A splicing module 704 is used to splice the preliminary quality assessment data to obtain target quality assessment data of the nuclear power plant design scheme data;

[0140] The scheme adjustment module 705 is used to adjust the nuclear power plant design scheme data according to the target quality assessment data.

[0141] The specific implementation of the quality assessment device for the nuclear power plant design scheme is basically the same as the specific implementation of the quality assessment method for the nuclear power plant design scheme described above, and will not be repeated here.

[0142] The embodiment of the present application also provides a computer device, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the quality assessment method of the nuclear power plant design scheme when executing the computer program. The computer device can be any intelligent terminal including a tablet computer, a car computer, etc.

[0143] See also Figure 8 , Figure 8 The hardware structure of a computer device according to another embodiment is shown, and the computer device includes:

[0144] The processor 801 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0145] The memory 802 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 802 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 802, and the processor 801 calls and executes the quality assessment method of the nuclear power plant design scheme in the embodiment of this application;

[0146] Input / output interface 803, used to implement information input and output;

[0147] The communication interface 804 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.);

[0148] A bus 805 that transmits information between the various components of the device (e.g., the processor 801, the memory 802, the input / output interface 803, and the communication interface 804);

[0149] The processor 801 , the memory 802 , the input / output interface 803 and the communication interface 804 are connected to each other in communication within the device via a bus 805 .

[0150] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the quality assessment method of the above-mentioned nuclear power plant design scheme is implemented.

[0151] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0152] The quality assessment method, device, equipment and storage medium of the nuclear power plant design scheme provided in the embodiment of the present application obtain the design defect data generated in the generation and use stages of the nuclear power plant design scheme data, and perform graded processing on the design defect data to obtain defect level information, so as to perform design quality assessment based on the defect level information and the design defect data to obtain preliminary quality assessment data, thereby realizing the automated assessment of the nuclear power design scheme. Then, the preliminary quality assessment data is spliced ​​into target quality assessment data to realize the automated quality assessment of the nuclear power plant design scheme data, saving manpower and improving the accuracy of the quality assessment. Finally, the nuclear power plant design scheme data is optimized according to the target quality assessment data to realize the automated optimization of the design scheme and obtain a nuclear power plant design scheme with better quality.

[0153] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0154] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0155] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0156] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0157] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0158] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0159] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0160] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple 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.

[0161] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0162] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0163] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A quality assessment method for a nuclear power plant design scheme, characterized in that: The method comprises: Acquire design defect data of nuclear power plant design scheme data; wherein the nuclear power plant design scheme data represents the setting and layout of nuclear power equipment and nuclear power areas in the nuclear power plant setting, and the design defect data represents defects existing in the generation and use stages of the nuclear power design scheme data; Performing classification processing on the design defect data to obtain defect level information; Performing a design quality assessment based on the defect level information and the design defect data to obtain preliminary quality assessment data; The preliminary quality assessment data are spliced ​​to obtain target quality assessment data of the nuclear power plant design scheme data; The nuclear power plant design plan data is adjusted according to the target quality assessment data.

2. The method according to claim 1, characterized in that The performing of design quality assessment according to the defect level information and the design defect data to obtain preliminary quality assessment data includes: Screening out a selected quality weight coefficient from preset candidate quality weight coefficients according to the defect level information; The design defect data are spliced ​​according to the selected quality weight coefficient to obtain the preliminary quality assessment data.

3. The method according to claim 2, characterized in that The preliminary quality assessment data is the quality assessment data of each key design node, and the key design nodes include: document review nodes, quality inspection nodes and design change nodes; the design defect data include: document review defect data, quality inspection defect data and design change defect data; the preliminary quality assessment data include: document review quality assessment data, quality inspection quality assessment data and design change quality assessment data; The step of splicing the design defect data according to the selected quality weight coefficient to obtain the preliminary quality assessment data comprises any one of the following steps: The document review defect data are spliced ​​according to the selected quality weight coefficient to obtain the document review quality assessment data of the document review node; The quality inspection defect data are spliced ​​according to the selected quality weight coefficient to obtain the quality inspection quality assessment data of the quality inspection node; The design change defect data is spliced ​​according to the selected quality weight coefficient to obtain the design change quality assessment data of the design change node.

4. The method according to claim 1, characterized in that The step of splicing the preliminary quality assessment data to obtain target quality assessment data of the nuclear power plant design scheme data includes: Acquire design node information of the preliminary quality assessment data; wherein the design node information indicates to which of the design key nodes the preliminary quality assessment data belongs; Filtering a selected node weight coefficient from preset candidate node weight coefficients according to the design node information; The preliminary quality assessment data are spliced ​​according to the selected node weight coefficients to obtain target quality assessment data of the nuclear power plant design scheme data.

5. The method according to claim 4, characterized in that After the preliminary quality assessment data are spliced ​​according to the selected node weight coefficients to obtain the target quality assessment data of the nuclear power plant design scheme data, the method further includes: Acquire the target quality assessment data of the current time period to obtain first quality assessment data; Acquire the target quality assessment data of a historical time period to obtain second quality assessment data; wherein the historical time period includes the current time period and a time period before the current time period; Adjusting the selected node weight coefficient according to the first quality assessment data and the second quality assessment data to obtain an updated node weight coefficient; The target quality assessment data is updated according to the update node weight coefficient.

6. The method according to claim 5, characterized in that The step of adjusting the selected node weight coefficient according to the first quality assessment data and the second quality assessment data to obtain an updated node weight coefficient includes: Performing fitting processing on the first quality assessment data to obtain a first fitting curve; Obtaining the slope of the first fitting curve to obtain a first slope; Performing fitting processing on the second quality assessment data to obtain a second fitting curve; Obtaining the slope of the second fitting curve to obtain a second slope; The selected node weight coefficient is adjusted according to the first slope, the second slope and preset constraint data to obtain the updated node weight coefficient.

7. The method according to claim 5, characterized in that The step of performing grading processing on the design defect data to obtain defect level information includes: Performing defect severity measurement on the design defect data to obtain defect severity measurement data; The design defect data is graded according to the defect severity measurement data and a preset severity threshold to obtain the defect level information.

8. A quality assessment device for a nuclear power plant design scheme, characterized in that: The device comprises: A data acquisition module is used to acquire design defect data of nuclear power plant design scheme data; wherein the nuclear power plant design scheme data represents the layout of nuclear power equipment and nuclear power areas in the nuclear power plant, and the design defect data represents defects existing in the generation and use stages of the nuclear power design scheme data; A grading module, used to perform grading processing on the design defect data to obtain defect level information; A quality assessment module, used to perform a design quality assessment based on the defect level information and the design defect data to obtain preliminary quality assessment data; A splicing module, used for splicing the preliminary quality assessment data to obtain target quality assessment data of the nuclear power plant design scheme data; A scheme adjustment module is used to adjust the nuclear power plant design scheme data according to the target quality assessment data.

9. A computer device, characterized in that: The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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