A project intelligent review method and system based on data analysis

By using data analysis methods based on intelligent control terminals, key characteristics and historical data of different stages of engineering projects are obtained, solving the problem of large errors in review results in existing technologies and achieving more accurate review results.

CN119963000BActive Publication Date: 2025-12-12STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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Patent Information

Application Number
CN202510057914.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-14
Publication Date
2025-12-12
Estimated Expiration
2045-01-14

AI Technical Summary

Technical Problem

Existing project review methods do not select relevant completed projects for reference, which may lead to significant errors in the review results.

Method used

By using data analysis methods based on intelligent control terminals, relevant data of the projects to be reviewed are obtained, key characteristics of different stages are analyzed, relevant historical data of the projects are screened out, and reviews are conducted according to the review criteria to obtain the review results.

Benefits of technology

By referencing and analyzing related completed projects, significant errors in the review results were avoided, thus improving the accuracy and efficiency of the review process.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of project intelligent review method and system based on data analysis, it is related to engineering project analysis management technical field, comprising: according to the data retrieval of database system to the project name to be reviewed.This application filters out multiple groups of relevant project historical data according to the key features of different stages of the project to be reviewed, then reviews multiple groups of relevant project historical data according to the review standards of different stages of the review project, obtains multiple groups of reference review scores, then analyzes the importance of different stages of the project to be reviewed in the whole stage, obtains the evaluation weight corresponding to different stages of the project to be reviewed, finally, calculates the reference review score and the evaluation weight corresponding to different stages of the project to be reviewed, determines the evaluation score of the project to be reviewed, determines the evaluation result of the project to be reviewed according to the evaluation score of the project to be reviewed, therefore, by reference analysis to the completed project with relevance, it avoids that review result appears larger error.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of project analysis management, in particular to a project intelligent review method and system based on data analysis. BACKGROUND

[0002] The feasibility study report review work of the engineering project is of great significance to guarantee the necessity of the implementation of the engineering project and improve the rationality and economy of the implementation scheme, and therefore, it plays an important role in the engineering project management system.

[0003] The existing engineering project needs to be reviewed before implementation to ensure that the engineering project can cope with all possible problems during construction, but the existing engineering project review method does not select the completed projects with relevance for reference, resulting in a large error in the review result. SUMMARY

[0004] To solve the above technical problems, a project intelligent review method and system based on data analysis are provided, which solves the problem of the existing engineering project review method not selecting the completed projects with relevance for reference, resulting in a large error in the review result.

[0005] To achieve the above purposes, the technical scheme adopted by the present application is as follows:

[0006] A project intelligent review method based on data analysis, comprising:

[0007] Based on the intelligent control terminal, the database system is searched according to the name of the project to be reviewed, and the related data of the project to be reviewed is obtained;

[0008] Based on the intelligent control terminal, the related data of the project to be reviewed is analyzed and processed, and the key features of different stages of the project to be reviewed are obtained;

[0009] Based on the intelligent control terminal, the database system is searched according to the key features of different stages of the project to be reviewed, and the related project historical data corresponding to different stages of the project to be reviewed is obtained;

[0010] Based on the intelligent control terminal, the related project historical data is used to analyze and review different stages of the project to be reviewed, and the review result of the project to be reviewed is obtained.

[0011] Preferably, the intelligent control terminal searches the database system according to the name of the project to be reviewed, and the related data of the project to be reviewed is obtained, which specifically includes the following steps:

[0012] The intelligent control terminal performs position retrieval processing on the storage data root directory according to the to-be-reviewed project name, and obtains a database system number of a database system storing to-be-reviewed project related data;

[0013] The intelligent control terminal performs information retrieval processing on the database system number of the database system storing to-be-reviewed project related data, and obtains a communication protocol of the database system storing to-be-reviewed project related data;

[0014] The intelligent control terminal establishes a communication connection with the database system according to the communication protocol of the database system storing to-be-reviewed project related data;

[0015] The intelligent control terminal sends a data transmission instruction to the database system according to the to-be-reviewed project name, and obtains to-be-reviewed project related data.

[0016] Preferably, the intelligent control terminal analyzes and processes to-be-reviewed project related data to obtain key features of different stages of the to-be-reviewed project, and the method comprises the following steps:

[0017] The intelligent control terminal analyzes the completeness of to-be-reviewed project related data to obtain complete to-be-reviewed project related data;

[0018] The intelligent control terminal analyzes the completeness of to-be-reviewed project related data to obtain complete to-be-reviewed project related data;

[0019] The intelligent control terminal analyzes and processes to-be-reviewed project related data to obtain key features of different stages of the to-be-reviewed project.

[0020] Preferably, the intelligent control terminal analyzes the completeness of to-be-reviewed project related data to obtain complete to-be-reviewed project related data, and the method comprises the following steps:

[0021] The intelligent control terminal analyzes the completeness of to-be-reviewed project related data to obtain complete to-be-reviewed project related data;

[0022] If the to-be-reviewed project related data is greater than or equal to a set first threshold value, the complete to-be-reviewed project related data is output;

[0023] If the to-be-reviewed project related data is less than the set first threshold value, the intelligent control terminal re-sends a data transmission instruction to the database system according to the to-be-reviewed project name, and obtains complete to-be-reviewed project related data.

[0024] Preferably, the intelligent control terminal analyzes and processes to-be-reviewed project related data to obtain key features of different stages of the to-be-reviewed project, and the method comprises the following steps:

[0025] The intelligent control terminal performs information retrieval processing on the storage data root directory according to the key features of different stages of the to-be-reviewed project, and obtains a plurality of groups of storage relevant project names corresponding to different stages of the to-be-reviewed project;

[0026] The intelligent control terminal performs location retrieval processing on the storage data root directory according to a plurality of groups of storage relevant project names corresponding to different stages of the to-be-reviewed project, and obtains a plurality of groups of database system numbers corresponding to different stages of the to-be-reviewed project;

[0027] The intelligent control terminal performs information retrieval processing on the plurality of groups of database system numbers corresponding to different stages of the to-be-reviewed project, and obtains a plurality of groups of communication protocols of the database systems corresponding to different stages of the to-be-reviewed project;

[0028] The intelligent control terminal establishes a communication connection with a plurality of groups of database systems according to the plurality of groups of communication protocols of the database systems corresponding to different stages of the to-be-reviewed project;

[0029] The intelligent control terminal sends a data transmission instruction to the plurality of groups of database systems according to the plurality of groups of relevant project names corresponding to different stages of the to-be-reviewed project, and obtains relevant project historical data corresponding to different stages of the to-be-reviewed project.

[0030] Preferably, the intelligent control terminal analyzes and reviews different stages of the to-be-reviewed project according to the relevant project historical data, and obtains a review result of the to-be-reviewed project, specifically including the following steps:

[0031] The intelligent control terminal filters the relevant project historical data according to the directory of the complete relevant data of the to-be-reviewed project, and obtains optimal relevant project historical data, wherein each of the different stages of the to-be-reviewed project corresponds to one optimal relevant project historical data;

[0032] The intelligent control terminal performs data preprocessing on the optimal relevant project historical data, and obtains optimal relevant project historical preprocessing data;

[0033] The intelligent control terminal analyzes and reviews different stages of the to-be-reviewed project according to the optimal relevant project historical preprocessing data, and obtains a review result of the to-be-reviewed project.

[0034] Preferably, the intelligent control terminal filters the relevant project historical data according to the directory of the complete relevant data of the to-be-reviewed project, and obtains optimal relevant project historical data, specifically including the following steps:

[0035] The intelligent control terminal splits the directory of the complete relevant data of the to-be-reviewed project, and obtains a plurality of groups of subdirectories of the complete relevant data of the to-be-reviewed project;

[0036] The intelligent control terminal matches the historical data of the related projects according to the sub-directories of the complete related data of the multiple groups of the to-be-evaluated projects, and obtains the correlation matching degrees of the multiple groups of the to-be-evaluated projects;

[0037] The intelligent control terminal compares the correlation matching degrees of the multiple groups of the to-be-evaluated projects, and obtains the correlation matching degree of the largest to-be-evaluated project;

[0038] The intelligent control terminal screens the correlation matching degree of the largest to-be-evaluated project, and determines the optimal historical data of the related projects;

[0039] The specific calculation formula of the correlation matching degree of the largest to-be-evaluated project is as follows:

[0040]

[0041] In the formula, D α is the correlation matching degree of the largest to-be-evaluated project; d i is the correlation matching degrees of the multiple groups of the to-be-evaluated projects; and n is the number of the correlation matching degrees of the to-be-evaluated projects.

[0042] Preferably, the intelligent control terminal analyzes and evaluates different stages of the to-be-evaluated project according to the optimal historical preprocessed data of the related projects, and obtains the evaluation result of the to-be-evaluated project, which specifically includes the following steps:

[0043] The intelligent control terminal performs information retrieval processing on the database system according to different stages of the to-be-evaluated project, and obtains the evaluation standards of different stages of the to-be-evaluated project;

[0044] The intelligent control terminal evaluates the optimal historical preprocessed data of the related projects according to the evaluation standards of different stages of the to-be-evaluated project, and obtains multiple groups of reference evaluation scores, the number of which is consistent with the number of the stages of the to-be-evaluated project;

[0045] The intelligent control terminal evaluates different stages of the to-be-evaluated project according to the multiple groups of the reference evaluation scores, and obtains the evaluation result of the to-be-evaluated project.

[0046] Preferably, the intelligent control terminal evaluates different stages of the to-be-evaluated project according to the multiple groups of the reference evaluation scores, and obtains the evaluation result of the to-be-evaluated project, which specifically includes the following steps:

[0047] The intelligent control terminal analyzes and processes the directory of the complete related data of the to-be-evaluated project according to the sub-directories of the complete related data of the multiple groups of the to-be-evaluated projects, and obtains the evaluation weights corresponding to different stages of the to-be-evaluated project;

[0048] The intelligent control terminal calculates and processes the multiple groups of the reference evaluation scores according to the evaluation weights corresponding to different stages of the to-be-evaluated project, and obtains the evaluation scores of different stages of the to-be-evaluated project;

[0049] The intelligent control end calculates and processes the evaluation scores of different stages of the to-be-reviewed project, and obtains the review result of the to-be-reviewed project;

[0050] The specific calculation formula of the evaluation result of the to-be-reviewed project is:

[0051] P m =I1×G1+I2×G2+...+I k ×G h ;

[0052] In the formula, P m is the evaluation result of the to-be-reviewed project; I k is the evaluation weight corresponding to different stages of the to-be-reviewed project; G h is the reference review score; k is the number of evaluation weights corresponding to different stages of the to-be-reviewed project; h is the number of reference review scores, and the k=h.

[0053] Further, a project intelligent review system based on data analysis is provided, which is used to realize the project intelligent review method based on data analysis as described above, and includes:

[0054] An intelligent control end, which performs feature analysis on the related data of the to-be-reviewed project, obtains the key features of different stages of the to-be-reviewed project, performs information retrieval on the database system according to the key features of different stages of the to-be-reviewed project, obtains the corresponding related project historical data of different stages of the to-be-reviewed project, performs evaluation processing on the to-be-reviewed project according to the corresponding related project historical data of different stages of the to-be-reviewed project, and obtains the evaluation result of the to-be-reviewed project;

[0055] A database system, which is used to store the related data of the to-be-reviewed project, the corresponding related project historical data of different stages of the to-be-reviewed project, and the review standards of different stages of the to-be-reviewed project;

[0056] The intelligent control end is internally integrated with:

[0057] A control unit, which is used to realize information interaction and data transmission between units;

[0058] A retrieval unit, which performs information retrieval on the database system according to the communication unit;

[0059] A communication unit, which is used to realize data transmission between the database system and the intelligent control end;

[0060] A storage unit, which is used to store the related data position of the to-be-reviewed project and the corresponding related project position of different stages of the to-be-reviewed project;

[0061] An analysis unit analyzes the to-be-reviewed project related data to obtain key features of different stages of the to-be-reviewed project, splits the to-be-reviewed project related data according to a directory of the to-be-reviewed project related data to obtain subdirectories of multiple groups of complete to-be-reviewed project related data, judges the to-be-reviewed project related data according to a first threshold value, and obtains complete to-be-reviewed project related data.

[0062] A comparison unit compares the correlation matching degrees of multiple groups of to-be-reviewed projects to obtain the correlation matching degree of the largest to-be-reviewed project.

[0063] A calculation unit calculates the evaluation weight corresponding to different stages of the to-be-reviewed project and multiple groups of reference review scores, and sums the evaluation scores of different stages of the to-be-reviewed project.

[0064] Compared with the prior art, the present application provides a project intelligent review method and system based on data analysis, which has the following beneficial effects:

[0065] The present application determines the key features of different stages of the to-be-reviewed project by analyzing the features of the to-be-reviewed project related data, screens multiple groups of relevant project historical data according to the key features of different stages of the to-be-reviewed project, reviews the multiple groups of relevant project historical data according to the review standards of different stages of the to-be-reviewed project, obtains multiple groups of reference review scores, analyzes the importance of different stages of the to-be-reviewed project in the entire stage, obtains the evaluation weight corresponding to different stages of the to-be-reviewed project, finally calculates the reference review scores and the evaluation weight corresponding to different stages of the to-be-reviewed project to determine the evaluation score of the to-be-reviewed project, and determines the evaluation result of the to-be-reviewed project according to the evaluation score of the to-be-reviewed project, so that the reference analysis of the completed projects with correlation is avoided to avoid large errors in the review result. BRIEF DESCRIPTION OF DRAWINGS

[0066] Figure 1 A flowchart of steps S100-S400 in the project intelligent review method based on data analysis proposed by the present application is shown.

[0067] Figure 2 A flowchart of steps S101-S104 in the project intelligent review method based on data analysis proposed by the present application is shown.

[0068] Figure 3 A flowchart of steps S201-S203 in the project intelligent review method based on data analysis proposed by the present application is shown.

[0069] Figure 4A flowchart of steps S2011-S2013 in a project intelligent review method based on data analysis according to the present application is shown in the figure;

[0070] Figure 5 A flowchart of steps S301-S305 in a project intelligent review method based on data analysis according to the present application is shown in the figure;

[0071] Figure 6 A flowchart of steps S401-S403 in a project intelligent review method based on data analysis according to the present application is shown in the figure;

[0072] Figure 7 A flowchart of steps S4011-S4014 in a project intelligent review method based on data analysis according to the present application is shown in the figure;

[0073] Figure 8 A flowchart of steps S4031-S4033 in a project intelligent review method based on data analysis according to the present application is shown in the figure;

[0074] Figure 9 A flowchart of steps S40331-S40333 in a project intelligent review method based on data analysis according to the present application is shown in the figure;

[0075] Figure 10 A structural block diagram of a project intelligent review system based on data analysis according to the present application is shown in the figure. DETAILED DESCRIPTION

[0076] The following description is provided to disclose the present application so that those skilled in the art can implement the present application. The preferred embodiments in the following description are only examples, and other obvious modifications can be made by those skilled in the art.

[0077] Reference Figure 1 As shown in the figure, a project intelligent review method based on data analysis comprises:

[0078] S100, based on an intelligent control terminal, data retrieval is performed on a database system according to a project name to be reviewed, and relevant data of the project to be reviewed is obtained;

[0079] S200, based on the intelligent control terminal, the relevant data of the project to be reviewed is analyzed and processed, and key features of different stages of the project to be reviewed are obtained;

[0080] S300, based on the intelligent control terminal, information filtering is performed on the database system according to the key features of different stages of the project to be reviewed, and relevant project historical data corresponding to different stages of the project to be reviewed is obtained;

[0081] S400, based on the intelligent control terminal, analyzing and reviewing different stages of the to-be-reviewed project according to relevant project historical data, and obtaining a review result of the to-be-reviewed project;

[0082] As can be understood by those skilled in the art, an engineering project will be divided into several stages during construction, and the engineering project will have different forms in different stages. Therefore, the relevant data of the to-be-reviewed project are analyzed by stages, the key features of different stages of the to-be-reviewed project are determined, the database system is screened according to the key features of different stages of the to-be-reviewed project, relevant project historical data corresponding to different stages of the to-be-reviewed project are obtained, the evaluation weights corresponding to different stages of the to-be-reviewed project are obtained by analyzing the importance of different stages of the to-be-reviewed project in the whole stage, in addition, the optimal relevant project historical preprocessing data are reviewed and processed by the review standards of different stages of the to-be-reviewed project, a plurality of groups of reference review scores are obtained, and finally the evaluation weights corresponding to different stages of the to-be-reviewed project and the plurality of groups of reference review scores are calculated to obtain evaluation scores of different stages of the to-be-reviewed project. According to the evaluation scores of different stages of the to-be-reviewed project, the overall score of the to-be-reviewed project is obtained, and the review result of the engineering project is determined according to the overall score of the to-be-reviewed project.

[0083] Referring to Figure 2 As shown in the figure, based on the intelligent control terminal, the database system is searched for data according to the name of the to-be-reviewed project, and the relevant data of the to-be-reviewed project are obtained, which specifically includes the following steps:

[0084] S101, the intelligent control terminal searches for the position of the storage data root directory according to the name of the to-be-reviewed project, and obtains the database system number for storing the relevant data of the to-be-reviewed project;

[0085] S102, the intelligent control terminal searches for information according to the database system number for storing the relevant data of the to-be-reviewed project, and obtains the communication protocol of the database system for storing the relevant data of the to-be-reviewed project;

[0086] S103, the intelligent control terminal establishes a communication connection with the database system according to the communication protocol of the database system for storing the relevant data of the to-be-reviewed project;

[0087] S104, the intelligent control terminal sends a data transmission instruction to the database system according to the name of the to-be-reviewed project, and obtains the relevant data of the to-be-reviewed project;

[0088] In this embodiment, in order to make the intelligent control terminal have enough running space, the data is stored in the database system, the name corresponding to the data and the database system number of the data storage are stored in the intelligent control terminal, when the relevant data needs to be retrieved, only the data name needs to be input for searching, the database system number of the data storage can be determined, the intelligent control terminal only needs to establish a communication connection with the database system, the relevant data can be retrieved, and the speed of the intelligent control terminal in subsequent calculation and analysis can be improved.

[0089] Referring to Figure 3 Based on the intelligent control terminal, the related data of the to-be-reviewed project is analyzed and processed, and the key features of different stages of the to-be-reviewed project are obtained, which specifically includes the following steps:

[0090] S201, the intelligent control terminal analyzes the completeness of the related data of the to-be-reviewed project, and obtains the complete related data of the to-be-reviewed project;

[0091] S202, the intelligent control terminal analyzes the complete related data of the to-be-reviewed project according to the directory of the complete related data of the to-be-reviewed project, and determines the data of different stages of the to-be-reviewed project;

[0092] S203, the intelligent control terminal analyzes and processes the data of different stages of the to-be-reviewed project, and obtains the key features of different stages of the to-be-reviewed project;

[0093] In this embodiment, the engineering project will enter different stages as the construction proceeds, and different characteristics will appear in different stages, therefore, the data of different stages of the to-be-reviewed project is analyzed to determine the key features of different stages of the to-be-reviewed project.

[0094] Referring to Figure 4 The intelligent control terminal analyzes the completeness of the related data of the to-be-reviewed project, and obtains the complete related data of the to-be-reviewed project, which specifically includes the following steps:

[0095] S2011, the intelligent control terminal analyzes the related data of the to-be-reviewed project;

[0096] S2012, if the related data of the to-be-reviewed project is greater than or equal to the set first threshold, the complete related data of the to-be-reviewed project is output;

[0097] S2013, if the related data of the to-be-reviewed project is less than the set first threshold, the intelligent control terminal re-sends a data transmission instruction to the database system according to the name of the to-be-reviewed project, and obtains the complete related data of the to-be-reviewed project;

[0098] In this embodiment, the database system may have communication interference when sending data to the intelligent control terminal, resulting in incomplete data. Therefore, the completeness of the data related to the project to be reviewed is analyzed. If the data is incomplete, the data related to the project to be reviewed is re-sent. The first threshold is the storage space occupied by the data related to the project to be reviewed. Therefore, when the data is incomplete, the data related to the project to be reviewed is less than the first threshold. When the data related to the project to be reviewed is supplemented, the data related to the project to be reviewed is greater than the first threshold.

[0099] Referring to Figure 5 Based on the intelligent control terminal, the information of the database system is filtered according to the key features of different stages of the project to be reviewed, and the relevant project historical data corresponding to different stages of the project to be reviewed is obtained, including the following steps:

[0100] S301, the intelligent control terminal performs information retrieval processing on the storage data root directory according to the key features of different stages of the project to be reviewed, and obtains a plurality of groups of storage project names corresponding to different stages of the project to be reviewed;

[0101] S302, the intelligent control terminal performs location retrieval processing on the storage data root directory according to a plurality of groups of storage project names corresponding to different stages of the project to be reviewed, and obtains a plurality of groups of database system numbers corresponding to different stages of the project to be reviewed;

[0102] S303, the intelligent control terminal performs information retrieval processing on the plurality of groups of database system numbers corresponding to different stages of the project to be reviewed, and obtains a plurality of groups of communication protocols of the database system corresponding to different stages of the project to be reviewed;

[0103] S304, the intelligent control terminal establishes a communication connection with a plurality of groups of database systems according to a plurality of groups of communication protocols of the database system corresponding to different stages of the project to be reviewed;

[0104] S305, the intelligent control terminal sends a data transmission instruction to a plurality of groups of database systems according to a plurality of groups of storage project names corresponding to different stages of the project to be reviewed, and obtains relevant project historical data corresponding to different stages of the project to be reviewed;

[0105] In this embodiment, the relevant project historical data corresponding to different stages of the project to be reviewed may have a lot of data, and therefore the relevant project historical data corresponding to different stages of the project to be reviewed may be stored in different database systems. Therefore, the position where the relevant project historical data corresponding to different stages of the project to be reviewed is stored is determined by searching according to the relevant project name corresponding to different stages of the project to be reviewed. The communication connection between the intelligent control terminal and the corresponding database system is established, and the relevant project historical data corresponding to different stages of the project to be reviewed is obtained, thereby avoiding the slow analysis and calculation speed caused by the storage of a large amount of data in the intelligent control terminal, and improving the review efficiency.

[0106] Referring to Figure 6 As shown in the figure, based on the intelligent control terminal, the different stages of the to-be-evaluated project are analyzed and evaluated according to the relevant project historical data, and the evaluation result of the to-be-evaluated project includes the following steps:

[0107] S401, the intelligent control terminal screens and processes the relevant project historical data according to the directory of the complete relevant data of the to-be-evaluated project, and obtains the optimal relevant project historical data, wherein each different stage of the to-be-evaluated project corresponds to one optimal relevant project historical data;

[0108] S402, the intelligent control terminal performs data preprocessing on the optimal relevant project historical data, and obtains optimal relevant project historical preprocessing data;

[0109] The data preprocessing includes steps such as de-duplication, missing value filling, and standardization, so as to ensure the data quality;

[0110] S403, the intelligent control terminal analyzes and evaluates the different stages of the to-be-evaluated project according to the optimal relevant project historical preprocessing data, and obtains the evaluation result of the to-be-evaluated project.

[0111] Referring to Figure 7 As shown in the figure, the intelligent control terminal screens and processes the relevant project historical data according to the directory of the complete relevant data of the to-be-evaluated project, and obtains the optimal relevant project historical data, which includes the following steps:

[0112] S4011, the intelligent control terminal splits and processes the directory of the complete relevant data of the to-be-evaluated project, and obtains multiple groups of subdirectories of the complete relevant data of the to-be-evaluated project;

[0113] S4012, the intelligent control terminal matches and processes the relevant project historical data according to the multiple groups of subdirectories of the complete relevant data of the to-be-evaluated project, and obtains the correlation matching degrees of multiple to-be-evaluated projects;

[0114] S4013, the intelligent control terminal compares and processes the correlation matching degrees of multiple to-be-evaluated projects, and obtains the correlation matching degree of the largest to-be-evaluated project;

[0115] S4014, the intelligent control terminal screens and processes the correlation matching degree of the largest to-be-evaluated project, and determines the optimal relevant project historical data;

[0116] The specific calculation formula of the correlation matching degree of the largest to-be-evaluated project is:

[0117]

[0118] In the formula, D α is the correlation matching degree of the largest to-be-evaluated project; d iThe correlation matching degree of the plurality of groups of to-be-reviewed projects; n is the number of correlation matching degrees of the to-be-reviewed projects.

[0119] Referring to Figure 8 As shown in the figure, the intelligent control end analyzes and reviews different stages of the to-be-reviewed project according to the optimal related project historical pretreatment data, and obtains the review result of the to-be-reviewed project, which specifically includes the following steps:

[0120] S4031, the intelligent control end performs information retrieval processing on the database system according to different stages of the to-be-reviewed project, and obtains the review standard of different stages of the to-be-reviewed project;

[0121] S4032, the intelligent control end performs review processing on the optimal related project historical pretreatment data according to the review standard of different stages of the to-be-reviewed project, and obtains a plurality of groups of reference review scores, the number of which is consistent with the number of stages of the to-be-reviewed project;

[0122] S4033, the intelligent control end performs evaluation processing on different stages of the to-be-reviewed project according to the plurality of groups of reference review scores, and obtains the review result of the to-be-reviewed project.

[0123] Referring to Figure 9 As shown in the figure, the intelligent control end analyzes and reviews different stages of the to-be-reviewed project according to the optimal related project historical pretreatment data, and obtains the review result of the to-be-reviewed project, which specifically includes the following steps:

[0124] S40331, the intelligent control end analyzes and processes the directory of the complete to-be-reviewed project related data according to the subdirectory of the complete to-be-reviewed project related data, and obtains the evaluation weight corresponding to different stages of the to-be-reviewed project;

[0125] S40332, the intelligent control end calculates and processes the plurality of groups of reference review scores according to the evaluation weight corresponding to different stages of the to-be-reviewed project, and obtains the evaluation score of different stages of the to-be-reviewed project;

[0126] S40333, the intelligent control end calculates and processes the evaluation score of different stages of the to-be-reviewed project, and obtains the review result of the to-be-reviewed project;

[0127] Wherein, the specific calculation formula of the evaluation result of the to-be-reviewed project is:

[0128] P m =I1×G1+I2×G2+...+I k ×G h ;

[0129] In the formula, P m is the evaluation result of the to-be-reviewed project; I k is the evaluation weight corresponding to different stages of the to-be-reviewed project; G hThe reference review score; k is the number of evaluation weights corresponding to different stages of the to-be-reviewed project; h is the number of reference review scores, and k=h;

[0130] In this embodiment, a plurality of relevant project historical data are screened according to the key features of different stages of the to-be-reviewed project, but in order to improve the accuracy of the review result of the to-be-reviewed project, the plurality of relevant project historical data are screened to select the optimal relevant project historical data, and the subdirectory of the complete to-be-reviewed project relevant data corresponds to each stage of the to-be-reviewed project, and each subdirectory can accurately reflect the state of each stage of the to-be-reviewed project. Therefore, the relevant project historical data are screened and matched according to the subdirectory of the complete to-be-reviewed project relevant data, the correlation matching degree of the to-be-reviewed project is obtained, the correlation matching degrees of the to-be-reviewed project are compared, the maximum correlation matching degree of the to-be-reviewed project is determined, the relevant project historical data corresponding to the maximum correlation matching degree of the to-be-reviewed project are the data closest to each stage of the to-be-reviewed project, and the relevant project historical data corresponding to the maximum correlation matching degree of the to-be-reviewed project are reviewed according to the review standard of each stage of the to-be-reviewed project in the subsequent process. The reference review score is determined, finally, the proportion of the plurality of groups of subdirectories of complete to-be-reviewed project relevant data in the directory of complete to-be-reviewed project relevant data is calculated, the evaluation weights corresponding to different stages of the to-be-reviewed project are determined, the evaluation weights corresponding to different stages and the plurality of reference review scores are calculated to obtain the review score of the to-be-reviewed project, the review result is determined according to the review score, and the review result is more accurate through the analysis of the relevant project historical data.

[0131] Referring to Figure 10 The project intelligent review system based on data analysis is used to realize the project intelligent review method based on data analysis, and comprises:

[0132] The intelligent control end analyzes the features of the to-be-reviewed project relevant data, obtains the key features of different stages of the to-be-reviewed project, performs information retrieval on the database system according to the key features of different stages of the to-be-reviewed project, obtains the relevant project historical data corresponding to different stages of the to-be-reviewed project, and performs evaluation processing on the to-be-reviewed project according to the relevant project historical data corresponding to different stages of the to-be-reviewed project to obtain the evaluation result of the to-be-reviewed project.

[0133] The database system is used to store the to-be-reviewed project relevant data, the relevant project historical data corresponding to different stages of the to-be-reviewed project, and the review standards of different stages of the to-be-reviewed project.

[0134] The intelligent control end is internally integrated with:

[0135] A control unit is arranged to realize information interaction and data transmission among units;

[0136] A retrieval unit is arranged to retrieve information from the database system according to the communication unit;

[0137] A communication unit is arranged to realize data transmission between the database system and the intelligent control terminal;

[0138] A storage unit is arranged to store data positions of the to-be-reviewed project and positions of the to-be-reviewed project in different stages;

[0139] An analysis unit is arranged to analyze the to-be-reviewed project related data and obtain key features of the to-be-reviewed project in different stages; the analysis unit is arranged to split the directory of the complete to-be-reviewed project related data and obtain sub-directories of multiple groups of complete to-be-reviewed project related data; the analysis unit is arranged to judge according to the to-be-reviewed project related data and the set first threshold value and obtain complete to-be-reviewed project related data;

[0140] A comparison unit is arranged to compare multiple groups of to-be-reviewed project correlation matching degrees and obtain a maximum to-be-reviewed project correlation matching degree;

[0141] A calculation unit is arranged to calculate evaluation weights corresponding to different stages of the to-be-reviewed project and multiple groups of reference review scores; and the calculation unit is arranged to sum the evaluation scores of different stages of the to-be-reviewed project.

[0142] The basic principles, main features and advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection claimed by the present application is defined by the appended claims and their equivalents.

Claims

1. A data-driven intelligent project review method, characterized in that, include: Based on the intelligent control terminal, the database system is searched according to the name of the project to be reviewed to obtain relevant data of the project to be reviewed. Based on the intelligent control terminal, the relevant data of the project to be reviewed is analyzed and processed to obtain the key characteristics of the project at different stages. Based on the intelligent control terminal, the database system is filtered according to the key characteristics of different stages of the project to be reviewed, and relevant historical data of the project to be reviewed at different stages are obtained. Based on the intelligent control terminal, the review results of the project to be reviewed are obtained by analyzing and reviewing the historical data of the relevant projects at different stages. The intelligent control terminal filters and processes the historical data of the relevant projects according to the catalog of complete data related to the project to be reviewed, and obtains the optimal historical data of the relevant projects. Each stage of the project to be reviewed corresponds to one optimal historical data of the relevant projects. The intelligent control terminal reviews the historical preprocessed data of the optimal relevant project according to the review criteria of different stages of the project to be reviewed, and obtains multiple sets of reference review scores. The number of the multiple sets of reference review scores is consistent with the number of stages of the project to be reviewed. The intelligent control terminal analyzes and processes the directory of relevant data for the complete project to be reviewed based on the subdirectories of multiple sets of complete project-related data to obtain the evaluation weights corresponding to different stages of the project to be reviewed. The intelligent control terminal calculates and processes multiple sets of reference review scores based on the evaluation weights corresponding to different stages of the project to be reviewed, and obtains the evaluation scores of the project at different stages.

2. The intelligent project review method based on data analysis according to claim 1, characterized in that, The process of retrieving relevant data from the database system based on the name of the project to be reviewed, using the intelligent control terminal, specifically includes the following steps: The intelligent control terminal performs a location retrieval process on the root directory of the stored data based on the name of the project to be reviewed, and obtains the database system number that stores the relevant data of the project to be reviewed. The intelligent control terminal performs information retrieval processing based on the database system number that stores the relevant data of the project to be reviewed, and obtains the communication protocol of the database system that stores the relevant data of the project to be reviewed. The intelligent control terminal establishes a communication connection with the database system according to the communication protocol of the database system storing relevant data of the project to be reviewed; The intelligent control terminal sends a data transmission command to the database system based on the name of the project to be reviewed, and obtains relevant data of the project to be reviewed.

3. The intelligent project review method based on data analysis according to claim 1, characterized in that, The process of analyzing and processing relevant data of the project to be reviewed based on the intelligent control terminal to obtain key characteristics of the project at different stages includes the following steps: The intelligent control terminal performs a completeness analysis on the relevant data of the project to be reviewed, and obtains complete relevant data of the project to be reviewed. The intelligent control terminal performs phased analysis on the complete data related to the project to be reviewed based on the catalog of relevant data for the project to be reviewed, and determines the data for different stages of the project to be reviewed. The intelligent control terminal analyzes and processes data from different stages of the project to be reviewed, and obtains key characteristics of the project at different stages.

4. The intelligent project review method based on data analysis according to claim 3, characterized in that, The intelligent control terminal performs a completeness analysis on the relevant data of the project to be reviewed, and obtains complete relevant data of the project to be reviewed by the following steps: The intelligent control terminal performs judgment and analysis on the relevant data of the project to be reviewed; If the relevant data of the project to be reviewed is greater than or equal to the set first threshold, output the complete relevant data of the project to be reviewed. If the data related to the project to be reviewed is less than the set first threshold, the intelligent control terminal will resend the data transmission instruction to the database system according to the name of the project to be reviewed, and obtain the complete data related to the project to be reviewed.

5. The intelligent project review method based on data analysis according to claim 1, characterized in that, The process of using an intelligent control terminal to filter information from the database system based on key characteristics of different stages of the project under review, and obtaining relevant historical data of the project at different stages, specifically includes the following steps: The intelligent control terminal performs information retrieval processing on the root directory of the stored data based on the key characteristics of different stages of the project to be reviewed, and obtains multiple sets of relevant project names corresponding to different stages of the stored project to be reviewed. The intelligent control terminal performs location retrieval processing on the root directory of the stored data based on the relevant project names corresponding to different stages of multiple sets of stored projects to be reviewed, and obtains the database system number corresponding to different stages of multiple sets of stored projects to be reviewed. The intelligent control terminal performs information retrieval processing based on the database system numbers corresponding to different stages of multiple stored projects to be reviewed, and obtains the communication protocols of the database systems corresponding to different stages of multiple stored projects to be reviewed. The intelligent control terminal establishes communication connections with multiple database systems based on the communication protocols of the database systems corresponding to different stages of the stored projects to be reviewed. The intelligent control terminal sends data transmission instructions to multiple database systems based on the relevant project names corresponding to different stages of the projects to be reviewed, thereby obtaining historical data of the relevant projects corresponding to different stages of the projects to be reviewed.

6. The intelligent project review method based on data analysis according to claim 1, characterized in that, The process of analyzing and reviewing different stages of the project based on historical data from relevant projects, and obtaining the review results of the project to be reviewed, specifically includes the following steps: The intelligent control terminal performs data preprocessing on the historical data of the optimal relevant project to obtain the historical preprocessed data of the optimal relevant project. The intelligent control terminal analyzes and reviews different stages of the project to be reviewed based on the best relevant historical preprocessed data, and obtains the review results of the project to be reviewed.

7. The intelligent project review method based on data analysis according to claim 6, characterized in that, The intelligent control terminal filters and processes historical data of relevant projects based on a complete catalog of data related to the projects to be reviewed, and obtains the optimal historical data of relevant projects through the following steps: The intelligent control terminal splits the directory of complete data related to the project to be reviewed, and obtains multiple subdirectories of complete data related to the project to be reviewed. The intelligent control terminal matches historical data of relevant projects based on subdirectories of multiple sets of complete data related to projects to be reviewed, and obtains the correlation matching degree of multiple sets of projects to be reviewed. The intelligent control terminal compares the correlation matching degree of multiple groups of projects to be reviewed and obtains the correlation matching degree of the project to be reviewed with the highest correlation matching degree. The intelligent control terminal filters and processes data based on the correlation and matching degree of the project with the highest number of projects to be reviewed, and determines the historical data of the most relevant projects. The specific formula for calculating the maximum relevance matching degree of the project to be reviewed is as follows: In the formula, The maximum relevance matching degree of the projects to be reviewed; The degree of association matching for multiple groups of projects to be reviewed; n is the number of association matching degrees for the projects to be reviewed.

8. The intelligent project review method based on data analysis according to claim 6, characterized in that, The intelligent control terminal analyzes and reviews the project to be reviewed at different stages based on the optimal relevant historical preprocessed data, and obtains the review results of the project to be reviewed. The specific steps include the following: The intelligent control terminal performs information retrieval and processing on the database system according to different stages of the project to be reviewed, and obtains the review criteria for different stages of the project to be reviewed. The intelligent control terminal evaluates and processes the project at different stages based on multiple sets of reference review scores to obtain the review results of the project.

9. The intelligent project review method based on data analysis according to claim 8, characterized in that, The intelligent control terminal evaluates and processes the project under review at different stages based on multiple sets of reference review scores, and obtains the review results of the project under review through the following steps: The intelligent control terminal calculates and processes the evaluation scores of the project to be reviewed at different stages to obtain the review results of the project to be reviewed; The specific formula for calculating the evaluation results of the project to be reviewed is as follows: In the formula, The evaluation results for the projects to be reviewed; The evaluation weights corresponding to different stages of the project to be reviewed; The reference review score is k; k is the number of evaluation weights corresponding to different stages of the project to be reviewed; h is the number of reference review scores, where k=h.

10. A data-analysis-based intelligent project review system, used to implement a data-analysis-based intelligent project review method as described in any one of claims 1-9, characterized in that, include: The intelligent control terminal performs feature analysis on the relevant data of the project to be reviewed, obtains the key features of the project at different stages, retrieves information from the database system based on the key features of the project at different stages, obtains the relevant historical data of the project at different stages, and evaluates the project based on the relevant historical data of the project at different stages to obtain the evaluation result of the project. A database system is used to store data related to the project to be reviewed, historical data of the project to be reviewed at different stages, and review criteria for the project to be reviewed at different stages. The intelligent control terminal integrates the following: A control unit, which is used to realize information interaction and data transmission between various units; A retrieval unit, which retrieves information from a database system based on a communication unit; A communication unit is used to realize data transmission between the database system and the intelligent control terminal; The storage unit is used to store the location of relevant data for the project to be reviewed and the location of relevant projects at different stages of the project to be reviewed. The analysis unit analyzes and processes the relevant data of the project to be reviewed to obtain key features of the project at different stages; the analysis unit splits the complete directory of the relevant data of the project to be reviewed to obtain multiple subdirectories of the complete relevant data of the project to be reviewed; the analysis unit makes a judgment based on the relevant data of the project to be reviewed and a set first threshold to obtain the complete relevant data of the project to be reviewed. The comparison unit compares the correlation matching degrees of multiple groups of projects to be reviewed to obtain the maximum correlation matching degree of the project to be reviewed. The calculation unit calculates the evaluation weights and multiple sets of reference evaluation scores corresponding to different stages of the project to be reviewed; the calculation unit sums the evaluation scores of different stages of the project to be reviewed.

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