CN113240252B - Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium - Google Patents

Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium Download PDF

Info

Publication number
CN113240252B
CN113240252B CN202110469532.XA CN202110469532A CN113240252B CN 113240252 B CN113240252 B CN 113240252B CN 202110469532 A CN202110469532 A CN 202110469532A CN 113240252 B CN113240252 B CN 113240252B
Authority
CN
China
Prior art keywords
preset
evaluation
evaluation index
level
index information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110469532.XA
Other languages
Chinese (zh)
Other versions
CN113240252A (en
Inventor
马尚国
陈施乐
李军建
孙炳通
贾立博
王志强
李永华
周爱萍
毛佳敏
蒋皓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Nuclear Engineering Consulting Co Ltd
Original Assignee
China Nuclear Engineering Consulting Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Nuclear Engineering Consulting Co Ltd filed Critical China Nuclear Engineering Consulting Co Ltd
Priority to CN202110469532.XA priority Critical patent/CN113240252B/en
Publication of CN113240252A publication Critical patent/CN113240252A/en
Application granted granted Critical
Publication of CN113240252B publication Critical patent/CN113240252B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Educational Administration (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Operations Research (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Quality & Reliability (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Monitoring And Testing Of Nuclear Reactors (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a nuclear power engineering quality evaluation data processing method, a device, equipment and a storage medium, wherein the method comprises the following steps: responding to input signals of N pieces of evaluation index information, and acquiring level parameters of each piece of evaluation index information, wherein N is a positive integer greater than or equal to 1; determining a weight parameter of each piece of evaluation index information according to the level parameter, and adding the weight parameter to each piece of evaluation index information; and acquiring an evaluation parameter corresponding to the level parameter, and generating a score corresponding to each evaluation index information according to the level parameter, the weight parameter and the evaluation parameter. According to the invention, through acquiring the related evaluation index in the nuclear power engineering construction and intuitively displaying the score corresponding to the evaluation index, the engineering quality in the nuclear power engineering construction is reflected rapidly and truly, and the quality of the nuclear power engineering is convenient to master.

Description

Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium
Technical Field
The invention relates to the technical field of nuclear power engineering, in particular to a nuclear power engineering quality evaluation data processing method, device and equipment and a storage medium.
Background
The engineering quality directly affects the life and property safety of people, while the nuclear power engineering construction is different from the common industrial and civil projects, and has the characteristics of large investment, long period, complex construction process, multiple quality factors, and the like, once the quality problem occurs, huge loss is likely to be caused, and public benefit and public safety are directly threatened. In the nuclear power engineering construction process, the quality of the nuclear power engineering is evaluated and dynamically evaluated, the quality condition of the nuclear power engineering is truly reflected, the quality of the nuclear power engineering is better controlled, scientific basis is provided for the establishment of nuclear power engineering quality control measures, and the problems to be solved are urgent.
Disclosure of Invention
The invention provides a nuclear power engineering quality evaluation data processing method, which is used for solving the defects that the quality evaluation and dynamic evaluation of the nuclear power engineering cannot be carried out in the prior art, the quality condition of the nuclear power engineering cannot be truly reflected, and the quality of the nuclear power engineering cannot be mastered in time.
The invention also provides a quality data processing device of the nuclear power engineering, which is used for solving the defects that the quality of the nuclear power engineering cannot be evaluated and dynamically evaluated, the quality condition of the nuclear power engineering cannot be truly reflected, and the quality of the nuclear power engineering cannot be mastered in time in the prior art, and realizing the rapid and truly reflecting of the quality of the nuclear power engineering in the construction of the nuclear power engineering by acquiring the related evaluation index in the construction of the nuclear power engineering and intuitively displaying the score corresponding to the evaluation index.
The invention further provides electronic equipment.
The invention further provides a non-transitory computer readable storage medium.
According to the invention, the nuclear power engineering quality evaluation data processing method comprises the following steps:
responding to input signals of N pieces of evaluation index information, and acquiring level parameters of each piece of evaluation index information, wherein N is a positive integer greater than or equal to 1;
determining a weight parameter of each piece of evaluation index information according to the level parameter, and adding the weight parameter to each piece of evaluation index information;
and acquiring an evaluation parameter corresponding to the level parameter, and generating a score corresponding to each evaluation index information according to the level parameter, the weight parameter and the evaluation parameter.
According to one embodiment of the present invention, the step of obtaining the level parameter of each evaluation index information in response to the input signals of the N evaluation index information specifically includes:
responding to the input signals of N pieces of evaluation index information, and acquiring preset item identifiers corresponding to the evaluation index information;
extracting a preset index pool and a preset level tree corresponding to the preset item identifier, wherein each preset index in the preset index pool corresponds to one preset level in the preset level tree, and the preset level tree comprises M preset levels, wherein M is a positive integer greater than or equal to 1;
traversing each piece of evaluation index information through the preset index pool to obtain preset indexes corresponding to each piece of evaluation index information, and judging according to preset levels of the preset indexes corresponding to the evaluation index information;
if K preset levels are larger than the preset levels corresponding to the evaluation index information in the preset level tree, marking the preset index corresponding to the evaluation index information as a K+1st level index, wherein K is an integer smaller than M;
repeating the steps until all the preset indexes corresponding to the evaluation index information are added with corresponding preset levels.
Specifically, the embodiment provides an implementation manner of obtaining the level parameter of each evaluation index information, and extracts a corresponding preset index pool and a preset level tree according to a preset item identifier, where the preset index pool includes preset indexes of the whole nuclear power engineering, and the preset level tree classifies the levels of the preset indexes, for example, there may be a plurality of first-level indexes and a plurality of second-level indexes, where the plurality of second-level indexes belong to one first-level index, and each first-level index includes a plurality of second-level indexes.
Further, through identifying and adding the preset indexes and the preset levels to the evaluation index information according to the preset index pool and the preset level tree, the method provides guarantee for subsequent score calculation of corresponding construction quality according to the evaluation index information.
According to one embodiment of the present invention, the step of traversing each piece of evaluation index information through the preset index pool to obtain preset indexes corresponding to each piece of evaluation index information, and determining according to preset levels of the preset indexes corresponding to the evaluation index information specifically includes:
responding to preset index matching completion signals corresponding to all the evaluation index information, and acquiring a preset category tree corresponding to the preset item identifier, wherein the preset category tree comprises R preset categories, and R is a positive integer greater than or equal to 1;
Classifying each evaluation index information according to the preset class tree, and sequentially classifying each evaluation index information according to the preset level of the evaluation index information to form Q index classes in each preset level, wherein the index class in the K+1st level index is a father class of at least part of index classes in the K+2nd level index, and Q is a positive integer less than or equal to R;
establishing an evaluation index category tree according to all classified index categories, wherein the evaluation index category tree comprises a plurality of sub-categories constructed according to the preset level tree, each sub-category is a parent category of a subordinate sub-category, and the level grade of the index category in each parent category is higher than the level grade of the index category in the subordinate sub-category;
and generating the level parameter of each evaluation index information according to the preset level and the evaluation index category tree corresponding to all the evaluation index information.
Specifically, the embodiment provides an implementation manner of extracting a preset level of a preset index corresponding to the evaluation index information to judge, and establishes an evaluation index category tree based on a preset category tree through the evaluation index information, so that the input corresponding evaluation index information score condition can have a multiple judging form, the evaluation index information can be calculated relative to the corresponding nuclear power engineering internal construction quality score through the preset category tree, and the evaluation index information can be estimated based on the self construction quality score under the condition of nuclear power construction internal weight distribution through the evaluation index category tree.
It should be noted that, the preset level tree is used for classifying the evaluation index information for the first time, after classifying the evaluation index information according to the preset level through the preset level tree, classifying the evaluation index information in each level of index again according to the preset category through the preset category tree, so that the evaluation index information input from the terminal can be marked with attributes according to the level and the category, and more accurate scores are convenient to obtain.
In an application scene, input evaluation index information is main loop installation, mechanical equipment installation, process pipeline installation, performance detection, allowable deviation, quality recording and visual quality respectively; firstly, classifying evaluation index information according to a preset level tree, wherein main loop installation, mechanical equipment installation and process pipeline installation are classified into first-level indexes, and performance detection, tolerance, quality recording and visual quality are classified into second-level indexes; further, the evaluation index information is reclassified according to a preset class tree, in the first level index, the main loop installation, the mechanical equipment installation and the process pipeline installation form three index classes, and in the second level index, the performance detection, the allowable deviation, the quality record and the visual quality respectively correspond to each index class in the first level index, and it is to be noted that the setting can be set in advance according to the nuclear power engineering requirement, the preset class tree and the preset class tree, or an editing port can be opened in the subsequent application, and the distribution forms of the preset class tree and the preset class tree can be adjusted.
According to an embodiment of the present invention, the step of determining a weight parameter of each of the evaluation index information according to the level parameter and adding the weight parameter to each of the evaluation index information specifically includes:
acquiring a first weight of each index category in each preset level according to the preset item identification and the preset category tree;
adding a weight characteristic to each piece of evaluation index information according to the first weight, and establishing a first judgment matrix according to each piece of evaluation index information after the weight characteristic is added;
and carrying out consistency test on the first judgment matrix, and taking the weight characteristic added by each evaluation index information as a weight parameter if the consistency test of the first judgment matrix is qualified.
Specifically, the present embodiment provides an embodiment in which the weight parameter is added to each piece of evaluation index information, and by putting the evaluation index information into the entire preset item, an actual score of the input evaluation index information with respect to the entire preset item can be obtained.
It should be noted that, for different evaluation index information, the corresponding first weights are different, in this embodiment, the total sum of the evaluation index information in each level of index is 1, that is, the total sum of the first weights in the same level for each index category in each level obtained according to the preset category tree is 1 in advance, but the total sum of the first weights in the same category of the evaluation index information at least at the end of the preset category tree is 1, that is, the total sum of the first weights of the evaluation index information at least at the end of the preset category tree is 1 under the category of the index belonging to the same father category.
Further, in this embodiment, the input evaluation index information is integrally evaluated according to the preset category tree, that is, the input evaluation index information is evaluated based on all preset indexes in the preset index pool, and this setting aims to obtain the score query or the score calculation of the input evaluation index information relative to all preset indexes of the whole nuclear power engineering, which can be understood as a score calculation mode of the input evaluation index information as a part of the preset indexes of the whole nuclear power engineering, and in this embodiment, the input evaluation index information is the ratio of the input evaluation index information in all preset indexes.
It should be noted that, the adding of the first weight to each evaluation index information is performed from top to bottom according to a preset level tree, that is, the first weight is preferentially added to each evaluation index information in the same level, and when a plurality of index categories are in the same level, the first weight is added to the evaluation index information in the same category according to the index category.
In an application scenario, the preset class tree comprises four classes (performance detection, allowable deviation, quality record and observation quality), the preset class tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in the nuclear power engineering, the performance detection, allowable deviation, quality record and observation quality in the main loop installation are included in the input evaluation index information, the weight of the main loop installation in the three classes of the main loop installation, the mechanical equipment installation and the process pipeline installation is 0.3, and the score on the performance detection, the allowable deviation, the quality record and the observation quality of the main loop installation is finally obtained through the operation of the corresponding evaluation scores of the main loop installation, the quality record and the observation quality, so that the score condition of the main loop installation in the nuclear power engineering is known.
According to an embodiment of the present invention, the step of determining a weight parameter of each of the evaluation index information according to the level parameter and adding the weight parameter to each of the evaluation index information specifically includes:
acquiring a first weight of each index category in each preset level according to the preset item identification and the preset category tree;
normalizing each index category according to the first weight and the evaluation index category tree to form a second weight;
adding a weight characteristic to each piece of evaluation index information according to the second weight, and establishing a second judgment matrix according to each piece of evaluation index information after the weight characteristic is added;
and carrying out consistency test on the second judgment matrix, and taking the weight characteristic added by each evaluation index information as a weight parameter if the consistency test of the second judgment matrix is qualified.
Specifically, the embodiment provides another implementation mode of adding the weight parameter to each evaluation index information, and the evaluation index information is independent from the whole preset project, so that the independent score of the input evaluation index information can be obtained, and the actual quality condition of the input evaluation index information in the corresponding nuclear power engineering construction process can be obtained.
It should be noted that, for different evaluation index information, the corresponding first weights are different, the total sum of the evaluation index information in each level of index is 1, that is, the total sum of the first weights in the same level for each index class obtained according to the preset class tree in advance is 1, but at least the evaluation index information at the end of the preset class tree, the total sum of the first weights in the same class is 1, that is, at least the evaluation index information at the end of the preset class tree, the total sum of the first weights under the index class belonging to the same father class is 1.
Further, in this embodiment, after determining the first weight, normalizing each piece of evaluation index information according to the evaluation index category tree and the first weight to form the second weight of each piece of evaluation index information, where the setting is to query or calculate the evaluation score of the piece of evaluation index information by taking the input piece of evaluation index information itself as an evaluation criterion, it may be understood that the input piece of evaluation index information is evaluated as a score independent of the preset index of the nuclear power engineering, and in this embodiment, the input piece of evaluation index information is to obtain the self score made by the piece of evaluation index information, where the score of the piece of evaluation index information is not related to the scores of the other preset indexes of the nuclear power engineering, but is a score calculation mode of the input piece of evaluation index information as a whole.
It should be noted that, the adding of the second weight to each evaluation index information is performed from top to bottom according to a preset level tree, that is, the adding of the second weight is performed preferentially to each evaluation index information in the same level, and when a plurality of index categories are included in the same level, the adding of the first weight is performed to the evaluation index information in the same category according to the index category.
In one application scenario, the preset class tree comprises four classes (performance detection, allowable deviation, quality record and impression quality), the preset class tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in the nuclear power engineering, the input evaluation index information comprises the performance detection, allowable deviation, quality record and impression quality in the main loop installation, the weights of the three classes of the main loop installation, the mechanical equipment installation and the process pipeline installation are 0.3, the weight of the main loop installation is distributed to be 1 through normalization processing, the performance detection, allowable deviation, quality record and impression quality in the main loop installation still keeps the original weight, and the actual score of each sub-class in the main loop installation is obtained through the operation of corresponding evaluation scores of the main loop installation, the performance detection, the allowable deviation, the quality record and the impression quality in the main loop installation, so that the actual construction score of each sub-class in the main loop installation is known under the condition that the weight of the engineering is adopted, and the optimal construction mode of the main loop installation is provided for the main loop installation data.
According to an embodiment of the present invention, the step of obtaining the evaluation parameter corresponding to the level parameter and generating the score corresponding to each evaluation index information according to the level parameter, the weight parameter and the evaluation parameter specifically includes:
obtaining scoring information of each preset index in the preset index pool according to a preset item identifier;
and matching according to the preset level, the evaluation index category tree and the evaluation information corresponding to all the evaluation index information to obtain a matching result, and generating an evaluation parameter according to the evaluation matching result.
Specifically, the embodiment provides an implementation manner of obtaining the evaluation parameters corresponding to the level parameters, by obtaining the score information of each preset index and matching the score information according to the preset level, the evaluation index category tree and the score information corresponding to all the evaluation index information, it is ensured that each evaluation index information can obtain the corresponding score information, further the evaluation parameters are obtained, and further the score corresponding to each evaluation index information is generated according to the level parameters, the weight parameters and the evaluation parameters, so that the score corresponding to the evaluation index is intuitively displayed, the engineering quality in the nuclear power engineering construction is reflected rapidly and truly, and the quality of the nuclear power engineering is convenient to master.
It should be noted that, the process of obtaining the scoring information of each preset index in the preset index pool is performed from bottom to top according to the preset level tree, that is, the scoring information of the preset index at the tail end of the preset level tree is preferentially obtained.
According to one embodiment of the present invention, the step of obtaining the scoring information of each preset index according to the preset item identifier and the preset index pool specifically includes:
the scoring information includes a first scoring set and a second scoring set;
the first grading set comprises X grading grades, wherein X is an integer greater than or equal to 2;
the second scoring set comprises Y scores, wherein Y is an integer greater than or equal to 2;
wherein, the evaluation level in the first evaluation group corresponds to the preset index in the terminal sub-level of the preset level tree one by one;
and the score in the second grading set is the score corresponding to the preset index in the terminal sub-level of the preset level tree under the grading.
Specifically, the embodiment provides an implementation mode for obtaining the scoring information of each preset index according to the preset item identifier and the preset index pool, and the corresponding scoring index information is evaluated through two display forms of the evaluation grade and the score by providing two evaluation standards of a first scoring set and a second scoring set for the scoring information.
In an application scenario, in the comprehensive evaluation process of the quality of the nuclear island installation project, the evaluation level of the first evaluation group may be the best, good, pass and fail of the expert or the operator according to the corresponding index entry, the corresponding evaluation is performed on the preset index in the terminal sub-level of the preset level tree, the terminal sub-level of the preset level tree is performance detection, allowable deviation, quality recording and observation quality, and the like, and the father level of the performance detection, allowable deviation, quality recording and observation quality in the preset category tree may be main loop installation, mechanical equipment installation, process pipeline installation, heating ventilation installation and electrical instrument control installation, so that the application scenario is only an example and not an exhaustive demonstration for the specific setting of each father level. Meanwhile, each preset level in the preset level tree is provided with a corresponding weight value correspondingly distributed according to the first weight, and after the evaluation level and the corresponding weight value are obtained, the final score can be obtained according to the weight of each preset index and the corresponding evaluation level.
It should be noted that, when there are multiple experts or operators in this section, corresponding scoring weights may be allocated according to the number, the grade, the field, etc. of the experts or operators, and after the score of each expert or operator is obtained, corresponding calculation is performed according to the scoring weights, so as to form the first scoring set.
In another application scenario, in the comprehensive evaluation process of the quality of the nuclear island installation project, the evaluation level of the first evaluation set can be set to be a gap, the evaluation is performed according to the subsequent input condition of an expert or an operator, the evaluation of the corresponding project quality of the expert or the operator is fuzzy evaluation, namely fuzzy vocabulary such as excellent, good and bad and the like in the first evaluation set, and the evaluation can be performed directly through the fuzzy vocabulary when the project quality without specific corresponding score is evaluated.
In another application scenario, in the comprehensive evaluation process of the quality of the nuclear island installation project, a second grading set is further set, the second grading set is a specific grade, the grade corresponds to the preset index in the terminal sub-grade of the preset grade tree, the terminal sub-grade of the preset grade tree is performance detection, tolerance deviation, quality record, visual quality and the like, when the specific grade is needed, the fuzzy evaluation of the first grading set can be introduced according to a grading system of the system or combined with the first grading set, the specific grade of the corresponding project is directly obtained, and the second grading set can be a specific grade which is preset and distributed with the first grading set in the preset grade tree, the preset index pool and the preset class tree according to the corresponding preset index weight, or a grade which is input according to the actual grading of an expert or an operator can be obtained later.
According to a second aspect of the present invention, there is provided a quality data processing apparatus for nuclear power engineering, comprising: the system comprises a response module, an adding module and a generating module;
the response module is used for responding to the input signals of N pieces of evaluation index information to acquire the level parameter of each piece of evaluation index information, wherein N is a positive integer greater than or equal to 1;
the adding module is used for determining a weight parameter of each piece of evaluation index information according to the level parameter and adding the weight parameter to each piece of evaluation index information;
the generation module is used for acquiring the evaluation parameters corresponding to the level parameters and generating scores corresponding to each evaluation index information according to the level parameters, the weight parameters and the evaluation parameters.
According to a third aspect of the present invention, there is provided an electronic device comprising: a memory and a processor;
the memory and the processor complete communication with each other through a bus;
the memory stores computer instructions capable of executing on the processor;
when the processor calls the computer program instructions, the nuclear power engineering quality evaluation data processing method can be executed.
According to a fourth aspect of the present invention there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described nuclear power engineering quality evaluation data processing method.
The above technical solutions in the present invention have at least one of the following technical effects: according to the nuclear power engineering quality evaluation data processing method, device, equipment and storage medium, the related evaluation indexes in the nuclear power engineering construction are acquired, and the scores corresponding to the evaluation indexes are intuitively displayed, so that the engineering quality in the nuclear power engineering construction is reflected rapidly and truly, and the quality of the nuclear power engineering is convenient to master.
Additional aspects and advantages of the invention 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 invention.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a nuclear power engineering quality evaluation data processing method provided by the invention;
FIG. 2 is a schematic structural diagram of a quality data processing device for nuclear power engineering provided by the invention;
fig. 3 is a schematic structural diagram of an electronic device provided by the present invention;
FIG. 4 is a weight schematic diagram of nuclear power engineering quality evaluation in the nuclear power engineering quality evaluation data processing method provided by the invention;
FIG. 5 is a statistical schematic diagram of nuclear power engineering quality evaluation in the nuclear power engineering quality evaluation data processing method provided by the invention.
Reference numerals:
810: a processor; 820: a communication interface; 830: a memory; 840: a communication bus.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The following description is provided in connection with the accompanying drawings, and the specific operation method in the method embodiment may also be applied to the device embodiment or the system embodiment. In the description of the present application, unless otherwise indicated, "at least one" includes one or more. "plurality" means two or more. For example, at least one of A, B and C, includes: a alone, B alone, a and B together, a and C together, B and C together, and A, B and C together. In the present application, "/" means or, for example, A/B may represent A or B; "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone.
In some embodiments of the present invention, as shown in fig. 1, fig. 4 and fig. 5, the present invention provides a method for processing nuclear power engineering quality evaluation data, including:
responding to input signals of N pieces of evaluation index information, and acquiring a level parameter of each piece of evaluation index information, wherein N is a positive integer greater than or equal to 1;
Determining a weight parameter of each piece of evaluation index information according to the level parameter, and adding the weight parameter to each piece of evaluation index information;
and acquiring the evaluation parameters corresponding to the level parameters, and generating a score corresponding to each evaluation index information according to the level parameters, the weight parameters and the evaluation parameters.
In detail, the invention provides a nuclear power engineering quality evaluation data processing method, which is used for solving the defects that in the prior art, the quality evaluation and dynamic evaluation of the nuclear power engineering cannot be carried out, the quality condition of the nuclear power engineering cannot be truly reflected, and the quality of the nuclear power engineering cannot be mastered in time.
In some possible embodiments of the present invention, the step of obtaining the level parameter of each evaluation index information in response to the input signals of the N evaluation index information specifically includes:
responding to the input signals of the N pieces of evaluation index information, and acquiring preset item identifiers corresponding to the evaluation index information;
Extracting a preset index pool and a preset level tree corresponding to preset item identifiers, wherein each preset index in the preset index pool corresponds to one preset level in the preset level tree, and the preset level tree comprises M preset levels, wherein M is a positive integer greater than or equal to 1;
traversing each piece of evaluation index information through a preset index pool to obtain preset indexes corresponding to each piece of evaluation index information, and judging according to preset levels of the preset indexes corresponding to the evaluation index information;
if K preset levels are larger than the preset levels corresponding to the evaluation index information in the preset level tree, marking the preset index corresponding to the evaluation index information as a K+1st level index, wherein K is an integer smaller than M;
repeating the steps until all the preset indexes corresponding to the evaluation index information are added with corresponding preset levels.
Specifically, the embodiment provides an implementation manner of obtaining the level parameter of each evaluation index information, and extracts a corresponding preset index pool and a preset level tree according to the preset item identifier, where the preset index pool includes preset indexes of the whole nuclear power engineering, and the preset level tree classifies the levels of the preset indexes, for example, there may be a plurality of first-level indexes and a plurality of second-level indexes, where the plurality of second-level indexes belong to one first-level index, and each first-level index includes a plurality of second-level indexes.
Further, through identifying and adding the preset indexes and the preset levels to the evaluation index information according to the preset index pool and the preset level tree, the method provides guarantee for subsequent score calculation of corresponding construction quality according to the evaluation index information.
In some possible embodiments of the present invention, the step of traversing each piece of evaluation index information through the preset index pool to obtain a preset index corresponding to each piece of evaluation index information, and determining according to a preset level of the preset index corresponding to the evaluation index information specifically includes:
responding to preset index matching completion signals corresponding to all the evaluation index information, and acquiring a preset category tree corresponding to the preset item identification, wherein the preset category tree comprises R preset categories, and R is a positive integer greater than or equal to 1;
classifying each piece of evaluation index information according to a preset class tree, and sequentially classifying each piece of evaluation index information according to a preset level of the evaluation index information to form Q index classes in each preset level, wherein the index class in the K+1st level index is a parent class of at least part of index classes in the K+2nd level index, and Q is a positive integer less than or equal to R;
Establishing an evaluation index category tree according to all classified index categories, wherein the evaluation index category tree comprises a plurality of sub-categories constructed according to a preset level tree, each sub-category is a parent category of a subordinate sub-category, and the level grade of the index category in each parent category is higher than the level grade of the index category in the subordinate sub-category;
and generating the level parameter of each piece of evaluation index information according to the preset level and the evaluation index category tree corresponding to all pieces of evaluation index information.
Specifically, the embodiment provides an implementation manner of extracting a preset level of a preset index corresponding to evaluation index information to judge, and establishes an evaluation index category tree based on a preset category tree through the evaluation index information, so that multiple judging forms can be provided for the input corresponding evaluation index information score, evaluation index information can be calculated relative to corresponding nuclear power engineering internal construction quality scores through the preset category tree, and evaluation index information can be estimated based on self construction quality scores under the condition of nuclear power construction internal weight distribution through the evaluation index category tree.
It should be noted that, the preset level tree is used for classifying the evaluation index information for the first time, after classifying the evaluation index information according to the preset level through the preset level tree, classifying the evaluation index information in each level of index again according to the preset category through the preset category tree, so that the evaluation index information input from the terminal can be marked with attributes according to the level and the category, and more accurate scores are convenient to obtain.
In an application scene, input evaluation index information is main loop installation, mechanical equipment installation, process pipeline installation, performance detection, allowable deviation, quality recording and visual quality respectively; firstly, classifying evaluation index information according to a preset level tree, wherein main loop installation, mechanical equipment installation and process pipeline installation are classified into first-level indexes, and performance detection, tolerance, quality recording and visual quality are classified into second-level indexes; further, the evaluation index information is reclassified according to a preset class tree, in the first level index, the main loop installation, the mechanical equipment installation and the process pipeline installation form three index classes, and in the second level index, the performance detection, the allowable deviation, the quality record and the visual quality respectively correspond to each index class in the first level index, and it is to be noted that the setting can be set in advance according to the nuclear power engineering requirement, the preset class tree and the preset class tree, or an editing port can be opened in the subsequent application, and the distribution forms of the preset class tree and the preset class tree can be adjusted.
In some possible embodiments of the present invention, as shown in fig. 4 and fig. 5, the step of determining a weight parameter of each piece of evaluation index information according to the level parameter, and adding the weight parameter to each piece of evaluation index information specifically includes:
Acquiring a first weight of each index category in each preset category according to the preset item identification and the preset category tree;
adding weight characteristics to each piece of evaluation index information according to the first weight, and establishing a first judgment matrix according to each piece of evaluation index information after the weight characteristics are added;
and carrying out consistency test on the first judgment matrix, and taking the weight characteristic added by each evaluation index information as a weight parameter if the consistency test of the first judgment matrix is qualified.
Specifically, the present embodiment provides an embodiment in which a weight parameter is added to each piece of evaluation index information, and by putting the evaluation index information into the entire preset item, an actual score of the input evaluation index information with respect to the entire preset item can be obtained.
It should be noted that, for different evaluation index information, the corresponding first weights are different, in this embodiment, the total sum of the evaluation index information in each level of index is 1, that is, the total sum of the first weights in the same level for each index category in each level obtained according to the preset category tree is 1 in advance, but the total sum of the first weights in the same category of the evaluation index information at least at the end of the preset category tree is 1, that is, the total sum of the first weights of the evaluation index information at least at the end of the preset category tree is 1 under the category of the index belonging to the same father category.
Further, in this embodiment, the input evaluation index information is integrally evaluated according to the preset category tree, that is, the input evaluation index information is evaluated based on all preset indexes in the preset index pool, and this setting aims to obtain the score query or the score calculation of the input evaluation index information relative to all preset indexes of the whole nuclear power engineering, which can be understood as a score calculation mode of the input evaluation index information as a part of the preset indexes of the whole nuclear power engineering, and in this embodiment, the input evaluation index information is the ratio of the input evaluation index information in all preset indexes.
It should be noted that, the adding of the first weight to each evaluation index information is performed from top to bottom according to a preset level tree, that is, the first weight is preferentially added to each evaluation index information in the same level, and when a plurality of index categories are in the same level, the first weight is added to the evaluation index information in the same category according to the index category.
In an application scenario, the preset class tree comprises four classes (performance detection, allowable deviation, quality record and observation quality), the preset class tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in the nuclear power engineering, the performance detection, allowable deviation, quality record and observation quality in the main loop installation are included in the input evaluation index information, the weight of the main loop installation in the three classes of the main loop installation, the mechanical equipment installation and the process pipeline installation is 0.3, and the score on the performance detection, the allowable deviation, the quality record and the observation quality of the main loop installation is finally obtained through the operation of the corresponding evaluation scores of the main loop installation, the quality record and the observation quality, so that the score condition of the main loop installation in the nuclear power engineering is known.
In some possible embodiments of the present invention, as shown in fig. 4 and fig. 5, the step of determining a weight parameter of each piece of evaluation index information according to the level parameter, and adding the weight parameter to each piece of evaluation index information specifically includes:
acquiring a first weight of each index category in each preset level according to the preset item identification and the preset category tree;
normalizing each index category according to the first weight and the evaluation index category tree to form a second weight;
adding weight characteristics to each piece of evaluation index information according to the second weight, and establishing a second judgment matrix according to each piece of evaluation index information after the weight characteristics are added;
and carrying out consistency test on the second judgment matrix, and taking the weight characteristic added by each evaluation index information as a weight parameter if the consistency test of the second judgment matrix is qualified.
Specifically, the embodiment provides another implementation mode of adding the weight parameter to each piece of evaluation index information, and the evaluation index information is independent from the whole preset project, so that the independent score of the input evaluation index information can be obtained, and the actual quality condition of the input evaluation index information in the corresponding nuclear power engineering construction process can be obtained.
It should be noted that, for different evaluation index information, the corresponding first weights are different, the total sum of the evaluation index information in each level of index is 1, that is, the total sum of the first weights in the same level for each index class obtained according to the preset class tree in advance is 1, but at least the evaluation index information at the end of the preset class tree, the total sum of the first weights in the same class is 1, that is, at least the evaluation index information at the end of the preset class tree, the total sum of the first weights under the index class belonging to the same father class is 1.
Further, in this embodiment, after determining the first weight, normalizing each piece of evaluation index information according to the evaluation index category tree and the first weight to form the second weight of each piece of evaluation index information, where the setting is to query or calculate the evaluation score of the piece of evaluation index information by taking the input piece of evaluation index information itself as an evaluation criterion, it may be understood that the input piece of evaluation index information is a score evaluation independent of the preset index of the nuclear power engineering, and in this embodiment, the input piece of evaluation index information is to obtain the self score made by the piece of evaluation index information, where the score of the piece of evaluation index information is not related to the scores of the other preset indexes of the nuclear power engineering, but is a score calculation mode of the input piece of evaluation index information as a whole.
It should be noted that, the adding of the second weight to each evaluation index information is performed from top to bottom according to a preset level tree, that is, the adding of the second weight is performed preferentially to each evaluation index information in the same level, and when a plurality of index categories are included in the same level, the adding of the first weight is performed to the evaluation index information in the same category according to the index category.
In one application scenario, the preset class tree comprises four classes (performance detection, allowable deviation, quality record and impression quality), the preset class tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in the nuclear power engineering, the input evaluation index information comprises the performance detection, allowable deviation, quality record and impression quality in the main loop installation, the weights of the three classes of the main loop installation, the mechanical equipment installation and the process pipeline installation are 0.3, the weight of the main loop installation is distributed to be 1 through normalization processing, the performance detection, allowable deviation, quality record and impression quality in the main loop installation still keeps the original weight, and the actual score of each sub-class in the main loop installation is obtained through the operation of corresponding evaluation scores of the main loop installation, the performance detection, the allowable deviation, the quality record and the impression quality in the main loop installation, so that the actual construction score of each sub-class in the main loop installation is known under the condition that the weight of the engineering is adopted, and the optimal construction mode of the main loop installation is provided for the main loop installation data.
In some possible embodiments of the present invention, the step of obtaining an evaluation parameter corresponding to the level parameter and generating a score corresponding to each evaluation index information according to the level parameter, the weight parameter and the evaluation parameter specifically includes:
obtaining scoring information of each preset index in a preset index pool according to the preset item identification;
matching is carried out according to the preset level, the evaluation index category tree and the grading information corresponding to all the evaluation index information, a matching result is obtained, and evaluation parameters are generated according to the grading matching result.
Specifically, the embodiment provides an implementation manner of acquiring the evaluation parameters corresponding to the level parameters, by acquiring the scoring information of each preset index and matching according to the preset level, the evaluation index category tree and the scoring information corresponding to all the evaluation index information, each evaluation index information is guaranteed to obtain the corresponding scoring information, the evaluation parameters are further obtained, the scoring corresponding to each evaluation index information is further generated according to the level parameters, the weight parameters and the evaluation parameters, the scoring corresponding to the evaluation index is intuitively displayed, the engineering quality in the nuclear power engineering construction is rapidly and truly reflected, and the quality of the nuclear power engineering is convenient to master.
In some possible embodiments of the present invention, as shown in fig. 5, the step of obtaining the scoring information of each preset index according to the preset item identifier and the preset index pool specifically includes:
the scoring information comprises a first scoring set and a second scoring set;
the first grading set comprises X grading grades, wherein X is an integer greater than or equal to 2;
the second scoring set comprises Y scores, wherein Y is an integer greater than or equal to 2;
wherein, the evaluation level in the first evaluation set corresponds to the preset index in the terminal sub-level of the preset level tree one by one;
the score in the second grading set is the score corresponding to the preset index in the terminal sub-level of the preset level tree under the evaluation level.
Specifically, the embodiment provides an implementation mode for obtaining the scoring information of each preset index according to the preset item identification and the preset index pool, and the scoring information is provided with a first scoring set and a second scoring set to evaluate the corresponding scoring information through two presentation forms of the scoring grade and the score.
It should be noted that, the process of obtaining the scoring information of each preset index in the preset index pool is performed from bottom to top according to the preset level tree, that is, the scoring information of the preset index at the tail end of the preset level tree is preferentially obtained.
In fig. 5, the number of the scoring numbers of each grade may be understood as a first score set, and the score of each corresponding evaluation index may be understood as a second score set.
In an application scenario, in the comprehensive evaluation process of the quality of the nuclear island installation engineering, the evaluation level of the first evaluation group may be a priority, a good, a pass and a fail which are input by an expert or an operator according to corresponding indexes in advance, the preset indexes in the terminal sub-level of the preset level tree are correspondingly evaluated, the terminal sub-level of the preset level tree is performance detection, allowable deviation, quality recording, observation quality and the like, and the father level of the performance detection, allowable deviation, quality recording and observation quality in the preset category tree may be main loop installation, mechanical equipment installation, process pipeline installation, heating ventilation installation and electrical instrument control installation, so that the application scenario is only an example and not representative of exhaustive display for the specific setting of each father level. Meanwhile, each preset level in the preset level tree is provided with a corresponding weight value correspondingly distributed according to the first weight, and after the evaluation level and the corresponding weight value are obtained, the final score can be obtained according to the weight of each preset index and the corresponding evaluation level.
It should be noted that, when there are multiple experts or operators in this section, corresponding scoring weights may be allocated according to the number, the grade, the field, etc. of the experts or operators, and after the score of each expert or operator is obtained, corresponding calculation is performed according to the scoring weights, so as to form the first scoring set.
In another application scenario, in the comprehensive evaluation process of the quality of the nuclear island installation project, the evaluation level of the first evaluation set can be set to be a gap, the evaluation is performed according to the subsequent input condition of an expert or an operator, the evaluation of the corresponding project quality of the expert or the operator is fuzzy evaluation, namely fuzzy vocabulary such as excellent, good and bad and the like in the first evaluation set, and the evaluation can be performed directly through the fuzzy vocabulary when the project quality without specific corresponding score is evaluated.
It should be noted that, when there are multiple experts or operators in this section, corresponding scoring weights may be allocated according to the number, the grade, the field, etc. of the experts or operators, and after the score of each expert or operator is obtained, corresponding calculation is performed according to the scoring weights, so as to form the first scoring set.
In another application scenario, in the comprehensive evaluation process of the quality of the nuclear island installation project, a second grading set is further set, the second grading set is a specific grade, the grade corresponds to a preset index in an end sub-grade of a preset grade tree, the end sub-grade of the preset grade tree is performance detection, tolerance, quality record, visual quality and the like, when the specific grade is needed, the fuzzy evaluation of the first grading set can be imported according to a grading system of the system or combined with the first grading set, the specific grade of the corresponding project is directly obtained, and the specific grade of the corresponding project can be obtained.
It should be noted that, when there are multiple experts or operators in this section, corresponding scoring weights may be allocated according to the number, the grade, the field, etc. of the experts or operators, and after the score of each expert or operator is obtained, corresponding calculation is performed according to the scoring weights, so as to form the first scoring set.
In some embodiments of the present invention, as shown in fig. 2, the present solution provides a quality data processing apparatus for a nuclear power engineering, including: the system comprises a response module, an adding module and a generating module;
the response module is used for responding to the input signals of the N pieces of evaluation index information to acquire the level parameter of each piece of evaluation index information, wherein N is a positive integer greater than or equal to 1;
the adding module is used for determining the weight parameter of each piece of evaluation index information according to the level parameter and adding the weight parameter to each piece of evaluation index information;
the generation module is used for acquiring the evaluation parameters corresponding to the level parameters and generating scores corresponding to each evaluation index information according to the level parameters, the weight parameters and the evaluation parameters.
In detail, the invention also provides a quality data processing device of the nuclear power engineering, which is used for solving the defects that the quality of the nuclear power engineering cannot be evaluated and dynamically evaluated, the quality condition of the nuclear power engineering cannot be truly reflected and the quality of the nuclear power engineering cannot be mastered in time in the prior art, and realizing the rapid and truly reflecting of the quality of the nuclear power engineering by acquiring the related evaluation index in the construction of the nuclear power engineering and intuitively displaying the score corresponding to the evaluation index, thereby being convenient for mastering the quality of the nuclear power engineering.
Fig. 3 illustrates a physical schematic diagram of an electronic device, as shown in fig. 3, where the electronic device may include: processor 810, communication interface (Communications Interface) 820, memory 830, and communication bus 840, wherein processor 810, communication interface 820, memory 830 accomplish communication with each other through communication bus 840. The processor 810 may invoke logic instructions in the memory 830 to perform the nuclear power engineering quality assessment data processing method.
It should be noted that, in this embodiment, the electronic device may be a server, a PC, or other devices in the specific implementation, so long as the structure of the electronic device includes a processor 810, a communication interface 820, a memory 830, and a communication bus 840 as shown in fig. 3, where the processor 810, the communication interface 820, and the memory 830 complete communication with each other through the communication bus 840, and the processor 810 may call logic instructions in the memory 830 to execute the above method. The embodiment does not limit a specific implementation form of the electronic device.
The server may be a single server or a server group. The server farm may be centralized or distributed (e.g., the servers may be distributed systems). In some embodiments, the server may be local or remote to the terminal. For example, the server may access information stored in the user terminal, a database, or any combination thereof via a network. As another example, the server may be directly connected to at least one of the user terminal and the database to access information and/or data stored therein. In some embodiments, the server may be implemented on a cloud platform; for example only, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud (community cloud), distributed cloud, inter-cloud (inter-cloud), multi-cloud (multi-cloud), and the like, or any combination thereof. In some embodiments, the server and user terminal may be implemented on an electronic device having one or more components of embodiments of the present application.
Further, the network may be used for the exchange of information and/or data. In some embodiments, one or more components in the interaction scenario (e.g., servers, user terminals, and databases) may send information and/or data to other components. In some embodiments, the network may be any type of wired or wireless network, or a combination thereof. By way of example only, the network may include a wired network, a Wireless network, a fiber optic network, a telecommunications network, an intranet, the Internet, a Local area network (Local AreaNetwork, LAN), a Wide area network (Wide Area Network, WAN), a Wireless Local area network (Wireless Local AreaNetworks, WLAN), a Metropolitan area network (Metropolian AreaNetwork, MAN), a Wide area network (Wide AreaNetwork, WAN), a public switched telephone network (Public Switched Telephone Network, PSTN), a Bluetooth network, a ZigBee network, a near field communication (Near Field Communication, NFC) network, or the like, or any combination thereof. In some embodiments, the network may include one or more network access points. For example, the network may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of the interaction scenario may connect to the network to exchange data and/or information.
Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Further, embodiments of the present invention disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the methods provided by the above-described method embodiments.
In another aspect, an embodiment of the present invention further provides a non-transitory computer readable storage medium, on which a computer program is stored, where the computer program is implemented when executed by a processor to perform the method for processing nuclear power engineering quality evaluation data provided in the foregoing embodiments.
In yet another aspect, embodiments of the present invention further provide a non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor is implemented to perform the method for processing nuclear power engineering quality evaluation data provided in the foregoing embodiments.
The apparatus embodiments described above are merely illustrative, wherein elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product, which may be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the various embodiments or methods of some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (7)

1. The nuclear power engineering quality evaluation data processing method is characterized by comprising the following steps of:
responding to input signals of N pieces of evaluation index information, and acquiring preset item identifiers corresponding to the evaluation index information;
extracting a preset index pool and a preset level tree corresponding to the preset item identifier, wherein each preset index in the preset index pool corresponds to one preset level in the preset level tree, and the preset level tree comprises M preset levels, wherein M is a positive integer greater than or equal to 1;
traversing each piece of evaluation index information through the preset index pool to obtain preset indexes corresponding to each piece of evaluation index information, and judging according to preset levels of the preset indexes corresponding to the evaluation index information;
If K preset levels are larger than the preset levels corresponding to the evaluation index information in the preset level tree, marking the preset index corresponding to the evaluation index information as a K+1st level index, wherein K is an integer smaller than M;
repeating the steps until all the preset indexes corresponding to the evaluation index information are added with corresponding preset levels;
determining a weight parameter of each piece of evaluation index information according to the level parameter, and adding the weight parameter to each piece of evaluation index information;
obtaining scoring information of each preset index in the preset index pool according to a preset item identifier;
matching according to preset levels, evaluation index category trees and the evaluation information corresponding to all the evaluation index information to obtain a matching result, and generating evaluation parameters according to the evaluation matching result;
the step of obtaining the scoring information of each preset index according to the preset item identifier and the preset index pool specifically comprises the following steps:
the scoring information includes a first scoring set and a second scoring set;
the first grading set comprises X grading grades, wherein X is an integer greater than or equal to 2;
the second scoring set comprises Y scores, wherein Y is an integer greater than or equal to 2;
Wherein, the evaluation level in the first evaluation group corresponds to the preset index in the terminal sub-level of the preset level tree one by one;
and the score in the second grading set is the score corresponding to the preset index in the terminal sub-level of the preset level tree under the grading.
2. The method for processing nuclear power engineering quality evaluation data according to claim 1, wherein the step of traversing each piece of evaluation index information through the preset index pool to obtain a preset index corresponding to each piece of evaluation index information one by one, and determining according to a preset level of the preset index corresponding to the evaluation index information specifically comprises:
responding to preset index matching completion signals corresponding to all the evaluation index information, and acquiring a preset category tree corresponding to the preset item identifier, wherein the preset category tree comprises R preset categories, and R is a positive integer greater than or equal to 1;
classifying each evaluation index information according to the preset class tree, and sequentially classifying each evaluation index information according to the preset level of the evaluation index information to form Q index classes in each preset level, wherein the index class in the K+1st level index is a father class of at least part of index classes in the K+2nd level index, and Q is a positive integer less than or equal to R;
Establishing an evaluation index category tree according to all classified index categories, wherein the evaluation index category tree comprises a plurality of sub-categories constructed according to the preset level tree, each sub-category is a parent category of a subordinate sub-category, and the level grade of the index category in each parent category is higher than the level grade of the index category in the subordinate sub-category;
and generating the level parameter of each evaluation index information according to the preset level and the evaluation index category tree corresponding to all the evaluation index information.
3. The nuclear power engineering quality evaluation data processing method according to claim 2, wherein the step of determining a weight parameter of each of the evaluation index information according to the level parameter and adding the weight parameter to each of the evaluation index information specifically comprises:
acquiring a first weight of each index category in each preset level according to the preset item identification and the preset category tree;
adding a weight characteristic to each piece of evaluation index information according to the first weight, and establishing a first judgment matrix according to each piece of evaluation index information after the weight characteristic is added;
and carrying out consistency test on the first judgment matrix, and taking the weight characteristic added by each evaluation index information as a weight parameter if the consistency test of the first judgment matrix is qualified.
4. The nuclear power engineering quality evaluation data processing method according to claim 2, wherein the step of determining a weight parameter of each of the evaluation index information according to the level parameter and adding the weight parameter to each of the evaluation index information specifically comprises:
acquiring a first weight of each index category in each preset level according to the preset item identification and the preset category tree;
normalizing each index category according to the first weight and the evaluation index category tree to form a second weight;
adding a weight characteristic to each piece of evaluation index information according to the second weight, and establishing a second judgment matrix according to each piece of evaluation index information after the weight characteristic is added;
and carrying out consistency test on the second judgment matrix, and taking the weight characteristic added by each evaluation index information as a weight parameter if the consistency test of the second judgment matrix is qualified.
5. The utility model provides a quality data processing apparatus of nuclear power engineering which characterized in that includes: the system comprises a response module, an adding module and a generating module;
the response module is used for responding to the input signals of the N pieces of evaluation index information and acquiring preset item identifiers corresponding to the evaluation index information; extracting a preset index pool and a preset level tree corresponding to the preset item identifier, wherein each preset index in the preset index pool corresponds to one preset level in the preset level tree, and the preset level tree comprises M preset levels, wherein M is a positive integer greater than or equal to 1; traversing each piece of evaluation index information through the preset index pool to obtain preset indexes corresponding to each piece of evaluation index information, and judging according to preset levels of the preset indexes corresponding to the evaluation index information; if K preset levels are larger than the preset levels corresponding to the evaluation index information in the preset level tree, marking the preset index corresponding to the evaluation index information as a K+1st level index, wherein K is an integer smaller than M; repeating the steps until all the preset indexes corresponding to the evaluation index information are added with corresponding preset levels;
The adding module is used for determining a weight parameter of each piece of evaluation index information according to the level parameter and adding the weight parameter to each piece of evaluation index information;
the generation module is used for acquiring scoring information of each preset index in the preset index pool according to the preset item identification; matching according to preset levels, evaluation index category trees and the evaluation information corresponding to all the evaluation index information to obtain a matching result, and generating evaluation parameters according to the evaluation matching result; the step of obtaining the scoring information of each preset index according to the preset item identifier and the preset index pool specifically comprises the following steps: the scoring information includes a first scoring set and a second scoring set; the first grading set comprises X grading grades, wherein X is an integer greater than or equal to 2; the second scoring set comprises Y scores, wherein Y is an integer greater than or equal to 2; wherein, the evaluation level in the first evaluation group corresponds to the preset index in the terminal sub-level of the preset level tree one by one; and the score in the second grading set is the score corresponding to the preset index in the terminal sub-level of the preset level tree under the grading.
6. An electronic device, comprising: a memory and a processor;
the memory and the processor complete communication with each other through a bus;
the memory stores computer instructions capable of executing on the processor;
the processor, when calling the computer instructions, is capable of executing the nuclear power engineering quality evaluation data processing method according to any one of claims 1 to 4.
7. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the nuclear power engineering quality assessment data processing method of any of the preceding claims 1 to 4.
CN202110469532.XA 2021-04-28 2021-04-28 Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium Active CN113240252B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110469532.XA CN113240252B (en) 2021-04-28 2021-04-28 Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110469532.XA CN113240252B (en) 2021-04-28 2021-04-28 Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium

Publications (2)

Publication Number Publication Date
CN113240252A CN113240252A (en) 2021-08-10
CN113240252B true CN113240252B (en) 2024-01-12

Family

ID=77131322

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110469532.XA Active CN113240252B (en) 2021-04-28 2021-04-28 Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113240252B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115187143A (en) * 2022-09-07 2022-10-14 南方电网数字电网研究院有限公司 Engineering project management method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136626A (en) * 2011-11-29 2013-06-05 北京建龙重工集团有限公司 On-line management method for engineering project
CN108985595A (en) * 2018-07-03 2018-12-11 北京科东电力控制***有限责任公司 The move transaction service evaluation method and device mutually commented based on counterparty
CN111882198A (en) * 2020-07-22 2020-11-03 北京市水科学技术研究院 Project performance evaluation method and system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102411591A (en) * 2010-09-21 2012-04-11 阿里巴巴集团控股有限公司 Method and equipment for processing information

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136626A (en) * 2011-11-29 2013-06-05 北京建龙重工集团有限公司 On-line management method for engineering project
CN108985595A (en) * 2018-07-03 2018-12-11 北京科东电力控制***有限责任公司 The move transaction service evaluation method and device mutually commented based on counterparty
CN111882198A (en) * 2020-07-22 2020-11-03 北京市水科学技术研究院 Project performance evaluation method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
园林树木艺术造型质量评价方法研究;王德芳;;北京农业职业学院学报(06);全文 *
工程咨询成果的质量管理;毛佳敏;;核标准计量与质量(04);全文 *

Also Published As

Publication number Publication date
CN113240252A (en) 2021-08-10

Similar Documents

Publication Publication Date Title
CN106934000B (en) Voice automatic quality inspection method and system for calling system
CN108399114A (en) A kind of system performance testing method, apparatus and storage medium
CN117294727B (en) Cloud edge end collaborative management method based on cloud primordia and container technology
CN113240252B (en) Nuclear power engineering quality evaluation data processing method, device, equipment and storage medium
CN110286938A (en) For exporting the method and apparatus for being directed to the evaluation information of user
WO2020238965A1 (en) Production environment performance evaluation method and apparatus, and storage medium
WO2021169630A1 (en) Configurable report generation method, apparatus and device, and readable storage medium
CN116976713A (en) Object evaluation method and device, storage medium and electronic equipment
CN115470867A (en) Agent matching method, device, equipment and storage medium based on knowledge graph
CN106910075A (en) Intelligent processing system and method that client mobile communication is complained
CN113408880A (en) Test paper generation method and device and intelligent examination system
CN115330358B (en) Education and training management system and education and training method
CN115018471B (en) Data processing method and related device
CN115987692A (en) Safety protection system and method based on flow backtracking analysis
CN114205355B (en) Substation gateway accessory equipment performance test method and system and electronic equipment
CN113946651B (en) Maintenance knowledge recommendation method and device, electronic equipment, medium and product
CN113449966B (en) Gypsum board equipment inspection method and system
CN115884235A (en) 5G network digital twin modeling method and device, computer equipment and storage medium
CN115146715A (en) Power utilization potential safety hazard diagnosis method, device, equipment and storage medium
CN112712002B (en) CGAN-based environment monitoring method, CGAN-based environment monitoring device, CGAN-based environment monitoring system and storage medium
CN116094747B (en) Factorization-based risk assessment method and system
CN112907404A (en) Auxiliary teaching method and device based on big data, server and storage medium
CN111565121A (en) Method and device for evaluating IT (information technology) support degree by personnel and technology
CN110197397A (en) The partitioning method and device of node level
CN114911847B (en) Cross-border trade data statistics and analysis method based on big data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant