CN115641087A - Engineering execution plan review system based on data identification - Google Patents

Abstract

The invention provides an engineering execution plan review system based on data identification, which relates to the technical field of engineering data processing, and comprises a plan database, a basic identification module, a calculation identification module and a review module; the basic identification module and the calculation identification module are used for carrying out data identification from a plan database; the basic identification module is used for identifying basic characters and format data; the basic identification module comprises a character identification unit and a format identification unit, and the character identification unit is used for carrying out character identification and screening on data in the plan database; the format recognition unit is used for carrying out format recognition and screening on the data in the plan database; the invention can carry out auditing on the standard of the project execution plan by carrying out systematic auditing on the plan book, thereby improving the matching quality of the project service and solving the problems of loopholes and deficiency in auditing in the project execution of the existing power grid.

Description

Engineering execution plan review system based on data identification

Technical Field

The invention relates to the technical field of engineering data processing, in particular to an engineering execution plan review system based on data identification.

Background

Engineering services are traditional service projects, and refer to services and technical assistance services for construction, construction and provision of projects, equipment, factories and the like. The engineering service has a wide range of business, including feasibility study of engineering projects, engineering design, site mapping, civil engineering, machine installation, engineering management and the like. In the field of power grids, in the process of engineering service bidding, an engineering execution plan book needs to be formulated, but the existing engineering execution plan book is usually checked manually, and some data problems existing in the plan book and matching data of bidding enterprises cannot be well checked, so that some errors exist in the quality-completed plan book of the bidding enterprises, and a service direction has a certain deviation from an actual planning standard.

Disclosure of Invention

Aiming at the defects in the prior art, the invention aims to provide a project execution plan review system based on data identification, which can be used for reviewing the standards of a project execution plan by systematically reviewing a plan book, so that the matching quality of project services is improved, and the problems of loopholes and defects in review of the project plan of the existing power grid are solved.

In order to achieve the purpose, the invention is realized by the following technical scheme: a project execution plan review system based on data identification comprises a plan database, a basic identification module, a calculation identification module and a review module; the basic identification module and the calculation identification module are used for carrying out data identification from a plan database;

the basic identification module is used for identifying basic characters and format data; the basic identification module comprises a character identification unit and a format identification unit, and the character identification unit is used for carrying out character identification and screening on data in the plan database; the format identification unit is used for carrying out format identification and screening on the data in the plan database;

the calculation identification module is used for identifying the data needing to be calculated after calculation; the calculation identification module comprises a calculation data identification unit and a calculation analysis unit; the calculation data identification unit is used for screening the calculated data; the calculation analysis unit is used for calculating and analyzing the data screened by the calculation data identification unit;

the evaluation module is used for evaluating and analyzing the identified data; the evaluation module comprises a basic evaluation unit, a calculation evaluation unit and a comprehensive evaluation unit, wherein the basic evaluation unit carries out evaluation analysis based on the identification result of the basic identification module; the calculation and evaluation unit carries out evaluation and analysis based on the recognition result of the calculation and recognition module; and the comprehensive evaluation unit performs comprehensive evaluation analysis based on evaluation results of the basic evaluation unit and the calculation evaluation unit.

Further, the word recognition unit is configured with a word recognition policy, and the word recognition policy includes: dividing the data in the plan database into file parts, and setting a corresponding screening entry for each file part;

screening corresponding screening entries for each file part in sequence, and respectively counting the number of categories of the screening entries appearing in each file part and the number of the screening entries appearing in each category;

and respectively setting entry coefficients for the screening entries of each type, and sequentially setting the entry coefficients to Xct1 to Xxti, wherein Xct represents the coefficients of the screening entries, 1 to i respectively correspond to the labels of different screening entries, and i also represents the number of the types of the screening entries.

Further, the format identification unit is configured with a format identification policy, which includes: setting a plurality of screening formats, calibrating format texts of data in a plan database, and sequentially identifying the screening formats of the calibrated data;

when the screened data do not accord with the screening format, carrying out format screening statistics on the data, and setting the data as a type that the screening format does not accord with;

and respectively setting format non-conforming coefficients for each screening format non-conforming type, and sequentially setting Xgsb1 to Xgsbj, wherein Xgsb represents the format non-conforming coefficients of the screening format non-conforming types, 1 to j respectively correspond to labels of different screening format non-conforming types, and j also represents the number of the screening format non-conforming types.

Further, the calculation data identification unit is configured with a calculation identification policy including: acquiring a calculation symbol of data in a plan database, and setting calculation conformity as a calculation identification mark;

screening out the parts of the data in the plan database, which have the calculation symbols, and marking the parts as calculation identification data;

and acquires a calculation part and a result part of the calculation data.

Further, the computational analysis unit is configured with a computational analysis policy that includes: recalculating the calculation part of the calculation data obtained by the calculation data identification unit according to the calculation logic of the calculation symbol, and obtaining an audit calculation result;

comparing the result of the audit calculation with the result part of the calculation data acquired by the calculation data identification unit, and setting the calculation data with inconsistent comparison results as audit error data;

acquiring a difference value between the audit error data and a result part of the calculation data acquired by the calculation data identification unit;

and acquiring the number of the error data.

Further, the basic review unit is configured with a basic review strategy, and the basic review strategy comprises: substituting the number of the screening entries of each category, the entry coefficient of the screening entries of each type, the number of the screening format non-conforming types and the format non-conforming coefficient of each screening format non-conforming type into a basic evaluation formula to obtain a basic evaluation value;

and dividing the basic evaluation grade according to the basic evaluation value: when the basic evaluation value is larger than or equal to Pj1, outputting the basic evaluation result as a low basic quality grade; when the Pj1 is larger than the basic evaluation value and is not less than Pj2, outputting the basic evaluation result as a medium basic quality grade; when Pj2 is larger than the basic evaluation value, outputting the basic evaluation result as a high basic quality grade; wherein Pj1 is a first base review threshold, pj2 is a second base review threshold, and Pj1 > Pj2.

Further, the base review formula is configured to:

zjc = x1 x (Xct 1 × Sct1+. + Xct × Scti) + x2 x (Xgsb 1 × Sgsb1+ ·+ Xgsbj × Sgsbj); the method comprises the steps of obtaining a basic evaluation value Zjc, a character recognition ratio coefficient x1, a format recognition ratio coefficient x2, the number of the screened entries of each category from Sct1 to Scti, and the number of the screened format non-conforming types from Sgsb1 to Sgsbj.

Further, the calculation review unit is configured with a calculation review policy, and the calculation review policy includes: substituting the difference value of the audit error data and the result part of the calculation data obtained by the calculation data identification unit and the number of the audit error data into a calculation evaluation formula to obtain a calculation evaluation value;

dividing the calculation evaluation grade according to the calculation evaluation value: when the calculated evaluation value is larger than or equal to Ps1, outputting a calculated evaluation result as a low calculated quality grade; when the Ps1 is larger than the calculation evaluation value which is not less than Ps2, outputting a calculation evaluation result as a medium calculation quality grade; when Ps2 is larger than the calculation evaluation value, outputting a calculation evaluation result as a high calculation quality grade; wherein Ps1 is a first calculation review threshold, ps2 is a second calculation review threshold, and Ps1 > Ps2.

Further, the calculation review formula is configured to: zjs = nx (| C1| +,. + | Cn |); zjs is the calculated evaluation value, n is the number of the error checking data, and C1 to Cn are the difference between each error checking data and the result portion of the calculation data obtained by the calculation data identification unit.

Further, the comprehensive review unit is configured with a comprehensive review policy, and the comprehensive review policy includes: comprehensively calculating the basic evaluation value and the calculated evaluation value to obtain a comprehensive evaluation value;

and dividing the comprehensive evaluation grade according to the comprehensive evaluation value: when the comprehensive evaluation value is larger than or equal to Pz1, outputting the comprehensive evaluation result as a low comprehensive quality grade; when Pz1 is larger than the comprehensive evaluation value and is larger than or equal to Pz2, outputting the comprehensive evaluation result as a medium comprehensive quality grade; when Pz2 is larger than the comprehensive evaluation value, outputting the comprehensive evaluation result as a high comprehensive quality grade; wherein Pz1 is a first comprehensive review threshold, pz2 is a second comprehensive review threshold, and Pz1 > Pz2.

The invention has the beneficial effects that: the data in the plan database can be subjected to character recognition and screening through the character recognition unit of the basic recognition module, and the data in the plan database can be subjected to format recognition and screening through the format recognition unit; the design can carry out basic identification on data of a plan database; the calculated data can be screened by the calculated data identification unit of the calculation identification module, the data screened by the calculated data identification unit can be calculated and analyzed by the calculation analysis unit, and errors in the calculated data can be screened and identified by the design;

the identification result of the basic identification module and the identification result of the calculation identification module can be evaluated and analyzed through an evaluation module; the comprehensive evaluation unit can perform comprehensive evaluation analysis based on evaluation results of the basic evaluation unit and the calculation evaluation unit, so that systematic screening and auditing are realized, auditing effectiveness of engineering services is improved, and further the quality of the engineering services is improved.

Drawings

Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:

FIG. 1 is a block schematic diagram of the system of the present invention;

FIG. 2 is a flow chart of the processing steps of the basic identification module of the present invention;

FIG. 3 is a flow chart of the processing steps of the calculation identification module of the present invention;

FIG. 4 is a flow chart of the processing steps of the review module of the present invention.

Detailed Description

In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.

Referring to fig. 1 to 4, the invention provides a project execution plan review system based on data identification, which can perform systematic review on a plan book and can perform review on the standards of a project execution plan, so as to improve the matching quality of project services, and solve the problems of loopholes and deficiency in the review of the project plan of the existing power grid.

The evaluation system comprises a plan database, a basic identification module, a calculation identification module and an evaluation module; the basis identification module and the calculation identification module are used for carrying out data identification from the plan database.

The basic identification module is used for identifying basic characters and format data; the basic identification module comprises a character identification unit and a format identification unit, and the character identification unit is used for carrying out character identification and screening on data in the plan database; the character recognition unit is configured with a character recognition strategy, and the character recognition strategy comprises the following steps:

step A10, dividing the data in the plan database into file parts, and setting a corresponding screening entry for each file part; wherein, the filter entries can be set as: "construction", "framework project", and "rental service".

Step A20, screening corresponding screening entries for each file part in sequence, and respectively counting the number of categories of the screening entries appearing in each file part and the number of the screening entries appearing in each category;

and step A30, respectively setting entry coefficients for the screening entries of each type, and sequentially setting the entry coefficients to Xct1 to Xxti, wherein Xct represents the coefficients of the screening entries, 1 to i respectively correspond to the labels of different screening entries, and i also represents the number of the types of the screening entries.

The format recognition unit is used for carrying out format recognition and screening on the data in the plan database; the format identification unit is configured with a format identification strategy, and the format identification strategy comprises the following steps:

step A40, setting a plurality of screening formats, calibrating format texts of data in a plan database, and sequentially identifying the screening formats of the calibrated data;

step A50, when the screened data do not accord with the screening format, format screening statistics is carried out on the data, and the data are set as a type that the screening format does not accord with;

step A60, setting format non-conforming coefficients for each screening format non-conforming type, and sequentially setting the format non-conforming coefficients as Xgsb1 to Xgsbj, wherein Xgsb represents the format non-conforming coefficients of the screening format non-conforming types, 1 to j respectively correspond to labels of different screening format non-conforming types, and j also represents the number of the screening format non-conforming types.

The calculation identification module is used for identifying the data needing to be calculated after calculation; the calculation identification module comprises a calculation data identification unit and a calculation analysis unit; the calculation data identification unit is used for screening the calculated data; the calculation data identification unit is configured with a calculation identification strategy, and the calculation identification strategy comprises the following steps:

step B10, acquiring calculation symbols of the data in the plan database, and setting calculation conformity as calculation identification marks; wherein the calculation symbols are calculation symbols in the mathematical field;

step B20, screening out the parts of the data in the plan database, which have the calculation symbols, and marking the parts as calculation identification data; the calculated data may be a voltage matching calculation, a bid amount calculation, etc.

And B30, acquiring a calculation part and a result part of the calculation data.

The calculation analysis unit is used for calculating and analyzing the data screened by the calculation data identification unit; the calculation analysis unit is configured with a calculation analysis strategy, and the calculation analysis strategy comprises the following steps:

step B40, recalculating the calculation part of the calculation data obtained by the calculation data identification unit according to the calculation logic of the calculation symbol, and obtaining an audit calculation result;

step B50, comparing the checking calculation result with the result part of the calculation data acquired by the calculation data identification unit, and setting the calculation data with inconsistent comparison result as checking error data;

step B60, obtaining the difference value of the audit error data and the result part of the calculation data obtained by the calculation data identification unit;

and step B70, acquiring the number of the error data.

The evaluation module is used for evaluating and analyzing the identified data; the evaluation module comprises a basic evaluation unit, a calculation evaluation unit and a comprehensive evaluation unit, wherein the basic evaluation unit carries out evaluation analysis based on the identification result of the basic identification module; the basic evaluation unit is configured with a basic evaluation strategy, and the basic evaluation strategy comprises the following steps:

step C10, substituting the number of the screened entries of each category, the entry coefficient of the screened entries of each category, the number of the screened format non-conforming types and the format non-conforming coefficient of each screened format non-conforming type into a basic evaluation formula to obtain a basic evaluation value; the basic review formula is configured as: zjc = x1 x (Xct 1 × Sct1+. + Xct × Scti) + x2 x (Xgsb 1 × Sgsb1+ ·+ Xgsbj × Sgsbj); the method comprises the steps of obtaining a basic evaluation value Zjc, obtaining a character recognition ratio coefficient x1 and a format recognition ratio coefficient x2, obtaining the number of the screening entries of each category from Sct1 to Scti, obtaining the number of the screening entries of each category from Sgsb1 to Sgsbj, obtaining the number of the screening formats of each type, and obtaining the number of the screening formats of each type from Sgsbj 1 to Sgsbj, wherein x1 and x2 are respectively larger than zero.

Step C20, dividing the basic evaluation grade according to the basic evaluation value: when the basic evaluation value is larger than or equal to Pj1, outputting the basic evaluation result as a low basic quality grade; when the Pj1 is larger than the basic evaluation value and is not less than Pj2, outputting the basic evaluation result as a medium basic quality grade; when Pj2 is larger than the basic evaluation value, outputting the basic evaluation result as a high basic quality grade; wherein Pj1 is a first base review threshold, pj2 is a second base review threshold, and Pj1 > Pj2.

The calculation and evaluation unit carries out evaluation analysis based on the recognition result of the calculation and recognition module; the calculation and evaluation unit is configured with a calculation and evaluation strategy, and the calculation and evaluation strategy comprises the following steps:

step C30, substituting the difference value of the audit error data and the result part of the calculation data acquired by the calculation data identification unit and the number of the audit error data into a calculation review formula to obtain a calculation review value; the calculation review formula is configured as: zjs = nx (| C1| +,. + | Cn |); zjs is a calculated evaluation value, n is the number of the error checking data, and C1 to Cn are differences between each error checking data and a result part of the calculation data acquired by the calculation data identification unit;

step C40, dividing the calculation evaluation grades according to the calculation evaluation values: when the calculated evaluation value is larger than or equal to Ps1, outputting a calculated evaluation result as a low calculated quality grade; when the Ps1 is larger than the calculation evaluation value which is not less than Ps2, outputting a calculation evaluation result as a medium calculation quality grade; when Ps2 is larger than the calculation evaluation value, outputting a calculation evaluation result as a high calculation quality grade; wherein Ps1 is a first calculation review threshold, ps2 is a second calculation review threshold, and Ps1 > Ps2.

The comprehensive evaluation unit carries out comprehensive evaluation analysis based on evaluation results of the basic evaluation unit and the calculation evaluation unit, and is provided with a comprehensive evaluation strategy, and the comprehensive evaluation strategy comprises the following steps:

step C50, comprehensively calculating the basic evaluation value and the calculated evaluation value to obtain a comprehensive evaluation value;

step C60, dividing the comprehensive evaluation grade according to the comprehensive evaluation value: when the comprehensive evaluation value is larger than or equal to Pz1, outputting the comprehensive evaluation result as a low comprehensive quality grade; when the Pz1 is larger than the comprehensive evaluation value and is not less than the Pz2, outputting the comprehensive evaluation result as a medium comprehensive quality grade; when Pz2 is larger than the comprehensive evaluation value, outputting the comprehensive evaluation result as a high comprehensive quality grade; wherein Pz1 is a first comprehensive review threshold, pz2 is a second comprehensive review threshold, and Pz1 > Pz2. Wherein, the comprehensive calculation is configured with a comprehensive calculation formula, and the comprehensive calculation formula is configured as: zzh = z1 × Zjc + z2 × Zjs; wherein z1 is a basic evaluation ratio coefficient, and z2 is a calculation evaluation ratio coefficient.

The working principle is as follows: firstly, the character recognition unit of the basic recognition module can perform character recognition and screening on data in a plan database, and the format recognition unit can perform format recognition and screening on the data in the plan database; the calculated data can be screened by the calculated data identification unit of the calculation identification module, and the data screened by the calculated data identification unit can be calculated and analyzed by the calculation analysis unit;

the identification result of the basic identification module and the identification result of the calculation identification module can be evaluated and analyzed through an evaluation module; and finally, the comprehensive evaluation unit can perform comprehensive evaluation analysis based on evaluation results of the basic evaluation unit and the calculation evaluation unit, so that systematic screening and auditing are realized.

Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. A project execution plan review system based on data identification is characterized by comprising a plan database, a basic identification module, a calculation identification module and a review module; the basic identification module and the calculation identification module are used for carrying out data identification from a plan database;

the basic identification module is used for identifying basic characters and format data; the basic identification module comprises a character identification unit and a format identification unit, and the character identification unit is used for carrying out character identification and screening on data in the plan database; the format recognition unit is used for carrying out format recognition and screening on the data in the plan database;

the calculation identification module is used for identifying the data needing to be calculated after calculation; the calculation identification module comprises a calculation data identification unit and a calculation analysis unit; the calculation data identification unit is used for screening the calculated data; the calculation analysis unit is used for calculating and analyzing the data screened by the calculation data identification unit;

the evaluation module is used for evaluating and analyzing the identified data; the evaluation module comprises a basic evaluation unit, a calculation evaluation unit and a comprehensive evaluation unit, wherein the basic evaluation unit carries out evaluation analysis based on the identification result of the basic identification module; the calculation and evaluation unit carries out evaluation analysis based on the recognition result of the calculation and recognition module; and the comprehensive evaluation unit performs comprehensive evaluation analysis based on evaluation results of the basic evaluation unit and the calculation evaluation unit.

2. The data recognition-based project execution plan review system of claim 1, wherein the word recognition unit is configured with a word recognition strategy, the word recognition strategy comprising: dividing the data in the plan database into file parts, and setting a corresponding screening entry for each file part;

screening corresponding screening entries for each file part in sequence, and respectively counting the number of categories of the screening entries appearing in each file part and the number of the screening entries appearing in each category;

and respectively setting entry coefficients for the screening entries of each type, and sequentially setting the entry coefficients to Xct1 to Xxti, wherein Xct represents the coefficients of the screening entries, 1 to i respectively correspond to the labels of different screening entries, and i also represents the number of the types of the screening entries.

3. The project execution plan review system based on data identification of claim 3, wherein the format identification unit is configured with a format identification policy, the format identification policy comprising: setting a plurality of screening formats, calibrating format texts of data in a plan database, and sequentially identifying the screening formats of the calibrated data;

when the screened data do not accord with the screening format, carrying out format screening statistics on the data, and setting the data as a type that the screening format does not accord with;

and respectively setting format non-conforming coefficients for each screening format non-conforming type, and sequentially setting Xgsb1 to Xgsbj, wherein Xgsb represents the format non-conforming coefficients of the screening format non-conforming types, 1 to j respectively correspond to labels of different screening format non-conforming types, and j also represents the number of the screening format non-conforming types.

4. The system of claim 1, wherein the calculation data identification unit is configured with a calculation identification strategy, and the calculation identification strategy comprises: acquiring a calculation symbol of data in a plan database, and setting calculation conformity as a calculation identification mark;

screening out the parts of the data in the plan database, which have the calculation symbols, and marking the parts as calculation identification data;

and acquires a calculation part and a result part of the calculation data.

5. The data identification-based project execution plan review system of claim 4, wherein the computational analysis unit is configured with a computational analysis strategy, the computational analysis strategy comprising: recalculating the calculation part of the calculation data obtained by the calculation data identification unit according to the calculation logic of the calculation symbol, and obtaining an audit calculation result;

comparing the result of the audit calculation with the result part of the calculation data acquired by the calculation data identification unit, and setting the calculation data with inconsistent comparison results as audit error data;

acquiring a difference value between the audit error data and a result part of the calculation data acquired by the calculation data identification unit;

and acquiring the number of the error data.

6. The data identification-based project execution plan review system of claim 3, wherein the base review unit is configured with a base review strategy, the base review strategy comprising: substituting the number of the screening entries of each category, the entry coefficient of the screening entries of each type, the number of the screening format non-conforming types and the format non-conforming coefficient of each screening format non-conforming type into a basic evaluation formula to obtain a basic evaluation value;

and dividing the basic evaluation grade according to the basic evaluation value: when the basic evaluation value is larger than or equal to Pj1, outputting the basic evaluation result as a low basic quality grade; when Pj1 is larger than the basic evaluation value and is larger than or equal to Pj2, outputting the basic evaluation result as a medium basic quality grade; when Pj2 is larger than the basic evaluation value, outputting the basic evaluation result as a high basic quality grade; wherein Pj1 is a first base review threshold, pj2 is a second base review threshold, and Pj1 > Pj2.

7. The data identification-based project execution plan review system of claim 6, wherein the base review formula is configured to:

zjc = x1 x (Xct 1 × Sct1+. + Xct × Scti) + x2 x (Xgsb 1 × Sgsb1+ ·+ Xgsbj × Sgsbj); the method comprises the steps of obtaining a basic evaluation value Zjc, a character recognition ratio coefficient x1, a format recognition ratio coefficient x2, the number of the screened entries of each category from Sct1 to Scti, and the number of the screened format non-conforming types from Sgsb1 to Sgsbj.

8. The project execution plan review system based on data identification of claim 5, wherein the calculation review unit is configured with a calculation review strategy, the calculation review strategy comprising: substituting the difference value of the result part of the calculation data obtained by the audit error data and calculation data identification unit and the number of the audit error data into a calculation review formula to obtain a calculation review value;

and dividing the calculation evaluation grade according to the calculation evaluation value: when the calculated evaluation value is larger than or equal to Ps1, outputting a calculated evaluation result as a low calculated quality grade; when the Ps1 is larger than the calculated evaluation value and is not less than the Ps2, outputting a calculated evaluation result as a calculated quality grade; when Ps2 is larger than the calculation evaluation value, outputting a calculation evaluation result as a high calculation quality grade; wherein Ps1 is a first calculation review threshold, ps2 is a second calculation review threshold, and Ps1 > Ps2.

9. The data identification-based project execution plan review system of claim 8, wherein the computational review formula is configured to: zjs = n × (C1 + ·+ Cn); the calculation evaluation value Zjs is the calculation evaluation value, n is the number of the error checking data, and C1 to Cn are the difference between each error checking data and the result part of the calculation data acquired by the calculation data identification unit.

10. The project execution plan review system based on data identification according to any one of claims 7 or 9, wherein the comprehensive review unit is configured with a comprehensive review strategy, and the comprehensive review strategy comprises: comprehensively calculating the basic evaluation value and the calculated evaluation value to obtain a comprehensive evaluation value;

and dividing the comprehensive evaluation grade according to the comprehensive evaluation value: when the comprehensive evaluation value is larger than or equal to Pz1, outputting the comprehensive evaluation result as a low comprehensive quality grade; when Pz1 is larger than the comprehensive evaluation value and is larger than or equal to Pz2, outputting the comprehensive evaluation result as a medium comprehensive quality grade; when Pz2 is larger than the comprehensive evaluation value, outputting the comprehensive evaluation result as a high comprehensive quality grade; wherein Pz1 is a first comprehensive review threshold, pz2 is a second comprehensive review threshold, and Pz1 > Pz2.

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