CN113240252A - 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

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CN113240252A
CN113240252A CN202110469532.XA CN202110469532A CN113240252A CN 113240252 A CN113240252 A CN 113240252A CN 202110469532 A CN202110469532 A CN 202110469532A CN 113240252 A CN113240252 A CN 113240252A
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index information
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CN113240252B (en
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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
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China Nuclear Engineering Consulting Co Ltd
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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: acquiring a level parameter of each piece of evaluation index information in response to input signals of N pieces 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 obtaining the evaluation parameters corresponding to the level parameters, and generating scores corresponding to each piece of evaluation index information according to the level parameters, the weight parameters and the evaluation parameters. According to the invention, through acquiring the related evaluation indexes in the nuclear power engineering construction and visually displaying the scores corresponding to the evaluation indexes, the engineering quality in the nuclear power engineering construction is quickly and truly reflected, and the quality of the nuclear power engineering is conveniently mastered.

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, equipment and storage medium.
Background
The engineering quality directly influences the life and property safety of people, the nuclear power engineering construction is different from general industrial and civil projects, the nuclear power engineering construction has the characteristics of large investment, long period, complex construction process, more quality influencing factors and the like, once quality problems occur, great loss is probably caused, and the public benefit and the public safety are directly threatened. In the process of nuclear power engineering construction, the quality evaluation and dynamic evaluation of nuclear power engineering truly reflect the quality condition of the nuclear power engineering, better control the quality of the nuclear power engineering, provide scientific basis for formulating quality control measures of the nuclear power engineering, and become a problem to be solved urgently.
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 of 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.
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.
The invention also provides an electronic device.
The invention further proposes a non-transitory computer-readable storage medium.
According to a first aspect of the invention, a nuclear power engineering quality evaluation data processing method is provided, which comprises the following steps:
acquiring a level parameter of each piece of evaluation index information in response to input signals of N pieces 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 obtaining the evaluation parameters corresponding to the level parameters, and generating scores corresponding to each piece of evaluation index information according to the level parameters, the weight parameters and the evaluation parameters.
According to an embodiment of the present invention, the step of obtaining the level parameter of each of the N evaluation index information in response to the input signal of the evaluation index information includes:
responding to N input signals of the evaluation index information, and acquiring a preset item identifier corresponding to the evaluation index information;
extracting a preset index pool and a preset level tree corresponding to the preset project identification, wherein each preset index in the preset index pool corresponds to one preset level in the preset level tree, the preset level tree comprises M preset levels, and 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 one by one, 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 + 1-th level index, wherein K is an integer smaller than M;
and repeating the steps until all the preset indexes corresponding to the evaluation index information add corresponding preset levels.
Specifically, in the embodiment, an implementation manner of obtaining the level parameter of each piece of evaluation index information is provided, where a preset index pool and a preset level tree corresponding to each preset item identifier are extracted, the preset index pool includes preset indexes of the whole nuclear power project, and the preset level tree classifies the levels of the preset indexes, for example, there may be multiple first-level indexes and multiple second-level indexes, the multiple second-level indexes belong to one first-level index, and each first-level index includes multiple second-level indexes.
Furthermore, the identification and addition of the preset indexes and the preset levels are carried out on the evaluation index information according to the preset index pool and the preset level tree, so that the guarantee is provided for the subsequent score calculation of the corresponding construction quality according to the evaluation index information.
According to an embodiment 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 one to one, and performing the determination according to a preset level of the preset index corresponding to the piece of 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 project 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 the preset class tree, sequentially classifying each piece of 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 + 1-level index is a parent class of at least part of index classes in the K + 2-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 subcategories constructed according to the preset level tree, each subcategory is a parent category of subordinate subcategories, and the level grade of the index category in each parent category is higher than that of the index category in each subordinate subcategory;
and generating a level parameter of each piece of evaluation index information according to the preset level and the evaluation index category tree corresponding to all the pieces of evaluation index information.
Specifically, the embodiment provides an implementation manner for extracting a preset level of a preset index corresponding to the evaluation index information for judgment, and an evaluation index category tree based on the preset category tree is established through the evaluation index information, so that the scoring condition of the input corresponding evaluation index information can have multiple discrimination forms, the evaluation index information can be calculated relative to the corresponding internal construction quality score of the nuclear power engineering through the preset category tree, and the evaluation index information can be estimated based on the self construction quality score under the condition of internal weight distribution of the nuclear power construction through the evaluation index category tree.
It should be noted that the preset level tree is used for primarily classifying the evaluation index information, and after the evaluation index information is classified according to the preset level through the preset level tree, the evaluation index information in each level of index is classified again according to the preset category through the preset category tree, so that the evaluation index information input from the terminal can be subjected to attribute marking according to the level and the category, and more accurate scoring is facilitated.
In an application scene, the input evaluation index information comprises main loop installation, mechanical equipment installation, process pipeline installation, performance detection, allowable deviation, quality record and impression quality; the method comprises the steps that firstly, evaluation index information is graded according to a preset grade tree, main loop installation, mechanical equipment installation and process pipeline installation are divided into first-grade indexes, and performance detection, allowable deviation, quality recording and impression quality are divided into second-grade indexes; further, the evaluation index information is classified again according to a preset class tree, in a first-level index, three index classes are formed by main loop installation, mechanical equipment installation and process pipeline installation, in a second-level index, performance detection, allowable deviation, quality recording and impression quality respectively correspond to each index class in the first-level index, and it needs to be noted that the setting can be performed by the preset class tree and the preset class tree according to nuclear power engineering needs in advance, and editing ports can be opened in subsequent applications to adjust the distribution forms of the preset class tree and the preset class tree.
According to an embodiment of the present invention, the 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 includes:
acquiring a first weight of each index category in each preset level according to the preset item identifier 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 added with the weight characteristic;
and performing consistency check on the first judgment matrix, and if the consistency check of the first judgment matrix is qualified, taking the weight characteristic added by each piece of evaluation index information as a weight parameter.
Specifically, the present embodiment provides an implementation manner in which the weighting parameter is added to each of the evaluation index information, and by putting the evaluation index information into the entire preset item, the 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 level of index category obtained from the preset category tree is 1 in advance, but the total sum of the first weights in the same category for 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 in the same category for the evaluation index information at least at the end of the preset category tree is 1 in the first weight under the category belonging to the same parent index.
Further, in the present embodiment, the input evaluation index information is subjected to overall evaluation according to a preset category tree, that is, the input evaluation index information is evaluated based on all preset indexes in a preset index pool, such an arrangement is to obtain a score query or a score calculation for the input evaluation index information relative to all preset indexes of the whole nuclear power project, and it can be understood that the input evaluation index information is a part of the preset indexes of the whole nuclear power project, and in the present embodiment, the input evaluation index information is a score calculation manner for the input evaluation index information to be shared among all the 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 adding of the first weight is preferentially performed to each evaluation index information in the same level, and when a plurality of index categories are 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 categories.
In an application scenario, a preset level tree comprises four levels (performance detection, allowable deviation, quality record and impression quality), a preset category tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in nuclear power engineering, input evaluation index information comprises the performance detection, allowable deviation, quality record and impression quality in the main loop installation, and the weights of the three categories of the main loop installation, the mechanical equipment installation and the process pipeline installation are 0.3, the scores of the performance detection, the allowable deviation, the quality record and the impression quality in the main loop installation are finally 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, the score condition of the main loop installation in the nuclear power engineering is further known, and the score proportion of the whole score of the nuclear power engineering can be obtained in such a way, and support is provided for subsequently adopting corresponding construction strategies.
According to an embodiment of the present invention, the 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 includes:
acquiring a first weight of each index category in each preset level according to the preset item identifier 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 added with the weight characteristic;
and performing consistency check on the second judgment matrix, and if the consistency check of the second judgment matrix is qualified, taking the weight characteristic added by each piece of evaluation index information as a weight parameter.
Specifically, the embodiment provides another implementation manner 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 an individual score of the input evaluation index information can be obtained, and an 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, corresponding first weights are different, and the total sum of the evaluation index information in each level of index is 1, that is, for the first weight of each index category in each level obtained according to the preset category tree, the total sum of the first weights in the same level is 1 in advance, but for the evaluation index information at least at the end of the preset category tree, the total sum of the first weights in the same category is 1, that is, for the evaluation index information at least at the end of the preset category tree, the total sum of the first weights under the category belonging to the same parent category is 1.
Further, in the present embodiment, after the first weight is determined, normalization processing is performed on each of the evaluation index information according to the evaluation index category tree and the first weight to form a second weight of each of the evaluation index information, and this setting is intended to query or calculate an evaluation score of the evaluation index information by using the input evaluation index information itself as an evaluation criterion, so that it can be understood that the input evaluation index information is a score evaluation independent of the preset indexes of the nuclear power plant.
It should be noted that the addition of the second weight to each evaluation index information is performed from top to bottom according to a preset level tree, that is, the addition of the second weight is preferentially performed to each evaluation index information in the same level, and when there are multiple index categories in the same level, the addition of the first weight is performed to the evaluation index information in the same category according to the index categories.
In an application scene, a preset level tree comprises four levels (performance detection, allowable deviation, quality record and impression quality), a preset category tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in nuclear power engineering, input evaluation index information comprises the performance detection, allowable deviation, quality record and impression quality in the main loop installation, the weight of the three categories of the main loop installation, the mechanical equipment installation and the process pipeline installation is 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 keep the original weight, and the performance detection, the allowable deviation, the quality record and the impression quality in the main loop installation are finally 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, And allowing deviation, quality recording and quality score observation, and further knowing the actual construction score condition of the main loop installation under the condition that each sublevel in the main loop installation adopts the weight in the nuclear power project, so that the method provides data support for the optimization of the main loop installation construction.
According to an embodiment of the present invention, the step of acquiring the evaluation parameter corresponding to the level parameter, and generating a score corresponding to each piece of evaluation index information according to the level parameter, the weight parameter, and the evaluation parameter specifically includes:
acquiring scoring information of each preset index in the preset index pool according to a preset item identifier;
and matching according to the preset levels corresponding to all the evaluation index information, the evaluation index category tree and the grading information to obtain a matching result, and generating evaluation parameters according to the grading matching result.
Specifically, the embodiment provides an implementation manner for acquiring evaluation parameters corresponding to the level parameters, and by acquiring the score information of each preset index, and performing matching according to the preset level corresponding to all the evaluation index information, the evaluation index category tree and the score information, it is ensured that each evaluation index information can obtain corresponding score information, so as to obtain the evaluation parameters, and then further, a 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 visually displayed, the engineering quality in the nuclear power engineering construction is quickly and truly reflected, and the quality of the nuclear power engineering is conveniently mastered.
It should be noted that, the process of obtaining the score 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 score information of the preset index at the end of the preset level tree is preferentially obtained.
According to an 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 comprises a first scoring set and a second scoring set;
the first scoring set comprises X evaluation 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;
the evaluation grades in the first evaluation set correspond to the preset indexes in the tail end sublevel of the preset grade tree one by one;
and the scores in the second scoring set are scores corresponding to the preset indexes in the terminal sublevel of the preset level tree under the evaluation level.
Specifically, the embodiment provides an implementation manner for obtaining the scoring information of each preset index according to the preset project identifier and the preset index pool, and by providing two evaluation criteria, namely a first scoring set and a second scoring set, for the scoring information, evaluation of corresponding evaluation index information through two display forms, namely an evaluation grade and a score, is realized.
In an application scenario, in a comprehensive evaluation process of quality of a nuclear island installation project, evaluation levels of a first evaluation set can be a good level, a passing level and a failing level which are input by an expert or an operator in advance according to corresponding indexes, corresponding evaluation is performed on the preset indexes in terminal sub-levels of a preset level tree, the terminal sub-levels of the preset level tree are performance detection, allowable deviation, quality record, appearance quality and the like, father levels of the performance detection, the allowable deviation, the quality record and the appearance quality in a preset category tree can be main loop installation, mechanical equipment installation, process pipeline installation, heating ventilation installation and electrical control installation, and the application scenario for specific setting of each father level is only an example and is not represented. Meanwhile, each preset level in the preset level tree also has 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, the corresponding scoring weights may be assigned according to the number, level, field, and the like of the experts or the 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 a 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 vacant, evaluation is performed according to the subsequent entry condition of experts or operators, and the experts or the operators evaluate the corresponding project quality, the evaluation in the first evaluation set is fuzzy evaluation, namely fuzzy words such as excellent, good, qualified and unqualified projects, and the evaluation can be performed directly through the fuzzy words when the project quality without specific corresponding scores is evaluated.
In another application scenario, in the process of comprehensively evaluating the quality of the nuclear island installation project, a second evaluation set is also set, the second evaluation set is a specific score, and the score corresponds to said predetermined index in the terminal sublevel of the predetermined level tree, which is a performance test, allowable deviation, quality record, look-and-feel quality, etc., and when a specific score is required, the fuzzy evaluation of the first scoring set can be led in according to a scoring system of the system or combined with the first scoring set, and the specific score of the corresponding project can be directly obtained.
According to a second aspect of the present invention, a quality data processing apparatus for nuclear power engineering is provided, which includes: the device comprises a response module, an adding module and a generating module;
the response module is used for responding to input signals of N pieces of evaluation index information and acquiring 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 piece of 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 apparatus comprising: a memory and a processor;
the memory and the processor complete mutual communication through a bus;
the memory stores computer instructions executable on the processor;
when the processor calls the computer program instruction, the nuclear power engineering quality evaluation data processing method can be executed.
According to a fourth aspect of the present invention, a non-transitory computer readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-mentioned nuclear power engineering quality assessment data processing method.
One or more 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 nuclear power engineering quality in construction is quickly and truly reflected by acquiring the related evaluation indexes in the nuclear power engineering construction and visually displaying the scores corresponding to the evaluation indexes, 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 technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart 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 present invention.
Reference numerals:
810: a processor; 820: a communication interface; 830: a memory; 840: a communication bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The present application will now be described in detail with reference to the drawings, and the specific operations in the method embodiments may also be applied to the apparatus embodiments or the system embodiments. In the description of the present application, "at least one" includes one or more unless otherwise specified. "plurality" means two or more. For example, at least one of A, B and C, comprising: a alone, B alone, a and B in combination, a and C in combination, B and C in combination, and A, B and C in combination. In this application, "/" means "or, for example, A/B may mean A or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone.
In some embodiments of the present invention, as shown in fig. 1, 4 and 5, the present disclosure provides a method for processing quality evaluation data of nuclear power engineering, including:
acquiring a level parameter of each piece of evaluation index information in response to input signals of N pieces 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 obtaining the evaluation parameters corresponding to the level parameters, and generating scores corresponding to each piece of 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 the quality of 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.
In some possible embodiments of the present invention, the step of obtaining the level parameter of each piece of evaluation index information in response to the input signals of the N pieces of evaluation index information specifically includes:
responding to the input signals of the N pieces of evaluation index information, and acquiring preset item identifications corresponding to the evaluation index information;
extracting a preset index pool and a preset level tree corresponding to a preset item identifier, wherein each preset index in the preset index pool corresponds to one preset level in the preset level tree, the preset level tree comprises M preset levels, and 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 one by one, 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 + 1-level index, wherein K is an integer smaller than M;
and repeating the steps until corresponding preset levels are added to the preset indexes corresponding to all the evaluation index information.
Specifically, in the embodiment, an implementation manner of obtaining the level parameter of each evaluation index information is provided, where a preset index pool and a preset level tree corresponding to each evaluation index information are extracted according to a preset item identifier, the preset index pool includes preset indexes of the whole nuclear power project, 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, the plurality of second-level indexes belong to one first-level index, and each first-level index includes a plurality of second-level indexes.
Furthermore, the identification and addition of the preset indexes and the preset levels are carried out on the evaluation index information according to the preset index pool and the preset level tree, so that the guarantee is provided for the subsequent score calculation of the 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 one to one, and performing the judgment according to the preset level of the preset index corresponding to the piece of 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 a 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 piece of evaluation index information according to a preset class tree, 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 + 1-level index is a parent class of at least part of index classes in the K + 2-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 subcategories constructed according to a preset level tree, each subcategory is a parent category of subordinate subcategories, and the level grade of the index category in each parent category is higher than the level grade of the index category in each subordinate subcategory;
and generating a level parameter of each piece of evaluation index information according to the preset level corresponding to all pieces of evaluation index information and the evaluation index category tree.
Specifically, the embodiment provides an implementation manner for extracting a preset level of a preset index corresponding to evaluation index information for judgment, and an evaluation index category tree based on the preset category tree is established through the evaluation index information, so that the scoring condition of the input corresponding evaluation index information can have multiple discrimination forms, the evaluation index information can be calculated relative to the corresponding internal construction quality score of the nuclear power engineering through the preset category tree, and the evaluation index information can be estimated based on the self construction quality score under the condition of internal weight distribution of the nuclear power construction through the evaluation index category tree.
It should be noted that the preset level tree is used for primarily classifying the evaluation index information, and after the evaluation index information is classified according to the preset level through the preset level tree, the evaluation index information in each level of index is classified again according to the preset category through the preset category tree, so that the evaluation index information input from the terminal can be subjected to attribute marking according to the level and the category, and more accurate scoring is facilitated.
In an application scene, the input evaluation index information comprises main loop installation, mechanical equipment installation, process pipeline installation, performance detection, allowable deviation, quality record and impression quality; the method comprises the steps that firstly, evaluation index information is graded according to a preset grade tree, main loop installation, mechanical equipment installation and process pipeline installation are divided into first-grade indexes, and performance detection, allowable deviation, quality recording and impression quality are divided into second-grade indexes; further, the evaluation index information is classified again according to a preset class tree, in a first-level index, three index classes are formed by main loop installation, mechanical equipment installation and process pipeline installation, in a second-level index, performance detection, allowable deviation, quality recording and impression quality respectively correspond to each index class in the first-level index, and it needs to be noted that the setting can be performed by the preset class tree and the preset class tree according to nuclear power engineering needs in advance, and editing ports can be opened in subsequent applications to adjust the distribution forms of the preset class tree and the preset class tree.
In some possible embodiments of the present invention, as shown in fig. 4 and 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 identifier 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 added with the weight characteristic;
and performing consistency check on the first judgment matrix, and if the consistency check of the first judgment matrix is qualified, taking the weight characteristic added by each piece of evaluation index information as a weight parameter.
Specifically, the present embodiment provides an implementation 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 level of index category obtained from the preset category tree is 1 in advance, but the total sum of the first weights in the same category for 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 in the same category for the evaluation index information at least at the end of the preset category tree is 1 in the first weight under the category belonging to the same parent index.
Further, in the present embodiment, the input evaluation index information is subjected to overall evaluation according to a preset category tree, that is, the input evaluation index information is evaluated based on all preset indexes in a preset index pool, such an arrangement is to obtain a score query or a score calculation for the input evaluation index information relative to all preset indexes of the whole nuclear power project, and it can be understood that the input evaluation index information is a part of the preset indexes of the whole nuclear power project, and in the present embodiment, the input evaluation index information is a score calculation manner for the input evaluation index information to be shared among all the 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 adding of the first weight is preferentially performed to each evaluation index information in the same level, and when a plurality of index categories are 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 categories.
In an application scenario, a preset level tree comprises four levels (performance detection, allowable deviation, quality record and impression quality), a preset category tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in nuclear power engineering, input evaluation index information comprises the performance detection, allowable deviation, quality record and impression quality in the main loop installation, and the weights of the three categories of the main loop installation, the mechanical equipment installation and the process pipeline installation are 0.3, the scores of the performance detection, the allowable deviation, the quality record and the impression quality in the main loop installation are finally 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, the score condition of the main loop installation in the nuclear power engineering is further known, and the score proportion of the whole score of the nuclear power engineering can be obtained in such a way, and support is provided for subsequently adopting corresponding construction strategies.
In some possible embodiments of the present invention, as shown in fig. 4 and 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 a preset item identifier and a 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 a second weight, and establishing a second judgment matrix according to each piece of evaluation index information added with the weight characteristic;
and performing consistency check on the second judgment matrix, and if the consistency check of the second judgment matrix is qualified, taking the weight characteristic added by each piece of evaluation index information as a weight parameter.
Specifically, the embodiment provides another implementation manner 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 individual 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, corresponding first weights are different, and the total sum of the evaluation index information in each level of index is 1, that is, for the first weight of each index category in each level obtained according to the preset category tree, the total sum of the first weights in the same level is 1 in advance, but for the evaluation index information at least at the end of the preset category tree, the total sum of the first weights in the same category is 1, that is, for the evaluation index information at least at the end of the preset category tree, the total sum of the first weights under the category belonging to the same parent category is 1.
Further, in the present embodiment, after the first weight is determined, normalization processing is performed on each piece of evaluation index information according to the evaluation index category tree and the first weight to form a second weight of each piece of evaluation index information, and this setting is intended to query or calculate an evaluation score of the piece of evaluation index information by using the input piece of evaluation index information itself as an evaluation criterion, so that it can be understood that the input piece of evaluation index information is a score evaluation independent of the preset indexes of the nuclear power engineering.
It should be noted that the addition of the second weight to each evaluation index information is performed from top to bottom according to a preset level tree, that is, the addition of the second weight is preferentially performed to each evaluation index information in the same level, and when there are multiple index categories in the same level, the addition of the first weight is performed to the evaluation index information in the same category according to the index categories.
In an application scene, a preset level tree comprises four levels (performance detection, allowable deviation, quality record and impression quality), a preset category tree comprises three items (main loop installation, mechanical equipment installation and process pipeline installation) in nuclear power engineering, input evaluation index information comprises the performance detection, allowable deviation, quality record and impression quality in the main loop installation, the weight of the three categories of the main loop installation, the mechanical equipment installation and the process pipeline installation is 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 keep the original weight, and the performance detection, the allowable deviation, the quality record and the impression quality in the main loop installation are finally 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, And allowing deviation, quality recording and quality score observation, and further knowing the actual construction score condition of the main loop installation under the condition that each sublevel in the main loop installation adopts the weight in the nuclear power project, so that the method provides data support for the optimization of the main loop installation construction.
In some possible embodiments of the present invention, the step of obtaining the evaluation parameter corresponding to the level parameter, and generating a score corresponding to each piece of evaluation index information according to the level parameter, the weight parameter, and the evaluation parameter specifically includes:
acquiring scoring information of each preset index in a preset index pool according to the preset item identifier;
and matching according to the preset levels corresponding to all the evaluation index information, the evaluation index category tree and the grading information to obtain a matching result, and generating evaluation parameters according to the grading matching result.
Specifically, the embodiment provides an implementation manner for acquiring evaluation parameters corresponding to level parameters, and by acquiring the score information of each preset index, and performing matching according to the preset levels, the evaluation index category trees and the score information corresponding to all the evaluation index information, it is ensured that each evaluation index information can obtain corresponding score information, so as to obtain the evaluation parameters, and then further, a 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 visually displayed, thereby realizing fast and real reflection of the engineering quality in the nuclear power engineering construction, and facilitating to grasp the quality of the nuclear power engineering.
In some possible embodiments of the present invention, as shown in fig. 5, the step of obtaining the score 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 scoring set comprises X evaluation 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;
the evaluation levels in the first evaluation set correspond to preset indexes in a terminal sublevel of a preset level tree one by one;
the scores in the second scoring set are scores corresponding to preset indexes in the terminal sublevels of the preset level tree under the evaluation level.
Specifically, the embodiment provides an implementation manner for acquiring the scoring information of each preset index according to the preset project identifier and the preset index pool, and by providing two evaluation criteria, namely a first scoring set and a second scoring set, for the scoring information, evaluation of corresponding evaluation index information through two display forms, namely an evaluation grade and a score, is realized.
It should be noted that, the process of obtaining the score 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 score information of the preset index at the end of the preset level tree is preferentially obtained.
In fig. 5, the number of persons scored in each stage, i.e., the number of persons passing through the score, is defined as the first scoring set, and the number of persons passing through the score corresponding to each evaluation index is defined as the second scoring set.
In an application scenario, in a comprehensive evaluation process of quality of a nuclear island installation project, evaluation levels of a first evaluation set can be high, good, qualified and unqualified levels recorded by experts or operators in advance according to corresponding indexes, corresponding evaluation is performed on preset indexes in terminal sub-levels of a preset level tree, the terminal sub-levels of the preset level tree are performance detection, allowable deviation, quality recording, impression quality and the like, father levels of the performance detection, allowable deviation, quality recording and impression quality in a preset category tree can be main loop installation, mechanical equipment installation, process pipeline installation, heating ventilation installation and electrical instrument control installation, and specific setting of each father level is only an example and is not represented. Meanwhile, each preset level in the preset level tree also has 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, the corresponding scoring weights may be assigned according to the number, level, field, and the like of the experts or the 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 a 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 vacant, evaluation is performed according to the subsequent entry condition of experts or operators, and the experts or the operators evaluate the corresponding project quality, the evaluation in the first evaluation set is fuzzy evaluation, namely fuzzy words such as excellent, good, qualified and unqualified projects, and the evaluation can be performed directly through the fuzzy words when the project quality without specific corresponding scores is evaluated.
It should be noted that, when there are multiple experts or operators, the corresponding scoring weights may be assigned according to the number, level, field, and the like of the experts or the 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 a first scoring set.
In another application scenario, in the process of comprehensively evaluating the quality of the nuclear island installation project, a second scoring set is further set, the second scoring set is a specific score, the score corresponds to a preset index in a terminal sub-level of a preset level tree, the terminal sub-level of the preset level tree is performance detection, allowable deviation, quality record, impression quality and the like, when the specific score is needed, fuzzy evaluation of the first scoring set can be conducted according to a scoring system of the system or combined with the first scoring set, and the specific score of the corresponding project is directly obtained, wherein the second scoring set can be a specific score which is preset and distributed in the preset level tree, the preset index pool and the preset category tree according to corresponding preset index weights, or a score which is subsequently recorded according to an expert or an operator actually.
It should be noted that, when there are multiple experts or operators, the corresponding scoring weights may be assigned according to the number, level, field, and the like of the experts or the 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 a first scoring set.
In some embodiments of the present invention, as shown in fig. 2, the present disclosure provides a quality data processing apparatus for nuclear power engineering, including: the device comprises a response module, an adding module and a generating module;
the response module is used for responding to input signals of N pieces of evaluation index information and acquiring 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 piece of 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 for 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.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. Processor 810 may invoke logic instructions in memory 830 to perform a nuclear power engineering quality assessment data processing method.
It should be noted that, when being implemented specifically, the electronic device in this embodiment may be a server, a PC, or other devices, as long as the structure includes the processor 810, the communication interface 820, the memory 830, and the communication bus 840 shown in fig. 3, where the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840, and the processor 810 may call the logic instructions in the memory 830 to execute the above method. The embodiment does not limit the specific implementation form of the electronic device.
The server may be a single server or a server group. The set of servers can be centralized or distributed (e.g., the servers can be a distributed system). 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; by way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud (community cloud), a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof. In some embodiments, the server and the user terminal may be implemented on an electronic device having one or more components in 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 (e.g., servers, user terminals, and databases) in an interaction scenario may send information and/or data to other components. In some embodiments, the network may be any type of wired or wireless network, or combination thereof. Merely by way of example, 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 (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a ZigBee Network, or a Near Field Communication (NFC) Network, among others, 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.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to 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), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Further, the present invention discloses 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, enable the computer to perform the methods provided by the above-mentioned method embodiments.
On the other hand, the 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 by a processor to execute the nuclear power engineering quality evaluation data processing method provided in the foregoing embodiments.
In still 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 to execute the nuclear power engineering quality evaluation data processing method provided in each of the above embodiments when executed by a processor.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A nuclear power engineering quality evaluation data processing method is characterized by comprising the following steps:
acquiring a level parameter of each piece of evaluation index information in response to input signals of N pieces 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 obtaining the evaluation parameters corresponding to the level parameters, and generating scores corresponding to each piece of evaluation index information according to the level parameters, the weight parameters and the evaluation parameters.
2. The method for processing nuclear power engineering quality evaluation data according to claim 1, wherein the step of acquiring the level parameter of each piece of evaluation index information in response to the input signals of the N pieces of evaluation index information specifically includes:
responding to N input signals of the evaluation index information, and acquiring a preset item identifier corresponding to the evaluation index information;
extracting a preset index pool and a preset level tree corresponding to the preset project identification, wherein each preset index in the preset index pool corresponds to one preset level in the preset level tree, the preset level tree comprises M preset levels, and 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 one by one, 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 + 1-th level index, wherein K is an integer smaller than M;
and repeating the steps until all the preset indexes corresponding to the evaluation index information add corresponding preset levels.
3. The method for processing nuclear power engineering quality evaluation data according to claim 2, 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 to one, and performing judgment according to a preset level of the preset index corresponding to the piece of 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 project 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 the preset class tree, sequentially classifying each piece of 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 + 1-level index is a parent class of at least part of index classes in the K + 2-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 subcategories constructed according to the preset level tree, each subcategory is a parent category of subordinate subcategories, and the level grade of the index category in each parent category is higher than that of the index category in each subordinate subcategory;
and generating a level parameter of each piece of evaluation index information according to the preset level and the evaluation index category tree corresponding to all the pieces of evaluation index information.
4. The method for processing nuclear power engineering quality evaluation data according to claim 3, wherein 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 identifier 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 added with the weight characteristic;
and performing consistency check on the first judgment matrix, and if the consistency check of the first judgment matrix is qualified, taking the weight characteristic added by each piece of evaluation index information as a weight parameter.
5. The method for processing nuclear power engineering quality evaluation data according to claim 3, wherein 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 identifier 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 added with the weight characteristic;
and performing consistency check on the second judgment matrix, and if the consistency check of the second judgment matrix is qualified, taking the weight characteristic added by each piece of evaluation index information as a weight parameter.
6. The method for processing nuclear power engineering quality evaluation data according to any one of claims 2 to 5, wherein the step of acquiring the evaluation parameters corresponding to the level parameters and generating scores corresponding to each piece of evaluation index information according to the level parameters, the weight parameters, and the evaluation parameters specifically includes:
acquiring scoring information of each preset index in the preset index pool according to a preset item identifier;
and matching according to the preset levels corresponding to all the evaluation index information, the evaluation index category tree and the grading information to obtain a matching result, and generating evaluation parameters according to the grading matching result.
7. The nuclear power engineering quality evaluation data processing method according to claim 6, wherein the step of obtaining the score information of each preset index according to a preset project identifier and the preset index pool specifically comprises:
the scoring information comprises a first scoring set and a second scoring set;
the first scoring set comprises X evaluation 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;
the evaluation grades in the first evaluation set correspond to the preset indexes in the tail end sublevel of the preset grade tree one by one;
and the scores in the second scoring set are scores corresponding to the preset indexes in the terminal sublevel of the preset level tree under the evaluation level.
8. A quality data processing device of nuclear power engineering is characterized by comprising: the device comprises a response module, an adding module and a generating module;
the response module is used for responding to input signals of N pieces of evaluation index information and acquiring 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 piece of evaluation index information according to the level parameters, the weight parameters and the evaluation parameters.
9. An electronic device, comprising: a memory and a processor;
the memory and the processor complete mutual communication through a bus;
the memory stores computer instructions executable on the processor;
when the processor calls the computer program instructions, the nuclear power engineering quality evaluation data processing method of any one of claims 1 to 7 can be executed.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the nuclear power engineering quality assessment data processing method according to any one of claims 1 to 7.
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