Project management information backup method and system

By extracting and matching the backup data of the project management information, generating keyword sets, and processing the backup data accordingly, the problem of low backup efficiency and accuracy in the existing technology is solved, and efficient and accurate backup of engineering management information is achieved.

CN120045383APending Publication Date: 2025-05-27HEFEI UNIV OF TECH
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Patent Information

Application Number
CN202510208231.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-05-27

AI Technical Summary

Technical Problem

The prior art cannot effectively screen and prepare the backup project management information based on the backup project management information, resulting in low backup efficiency and accuracy.

Method used

By performing keyword extraction and matching analysis on the backup data, a backup keyword set is generated; performing keyword extraction and matching analysis on the backup data, determining the matching degree of the keyword to be backed up and the backup keyword set, deciding whether to classify it as stored keywords or new keywords, and performing corresponding backup operations.

Benefits of technology

It realizes effective screening and precise preparation of backup information based on the backup project management information, improving backup efficiency and accuracy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides an engineering management information backup method and system, and the key points of the technical scheme comprise the steps: obtaining backed-up keywords of backed-up data of engineering management information, carrying out the analysis to obtain the word meaning matching degree between the backed-up keywords, generating a backed-up keyword set according to the word meaning matching degree, and storing the backed-up keyword set in a database; backing up the keyword text information of the backed-up keywords to a backed-up keyword set corresponding to the backed-up keywords; to-be-backed-up keywords of to-be-backed-up data of project management information are obtained, the keyword matching degree of the to-be-backed-up keywords and the backed-up keyword set is obtained through analysis, and storage keywords and new keywords are obtained through analysis according to the keyword matching degree and a keyword matching degree threshold value; and backing up the keyword text information of the stored keyword to a backed-up keyword set corresponding to the stored keyword, and backing up the keyword text information of the new keyword to a new backup keyword set corresponding to the new keyword. According to the invention, the backup efficiency and the backup accuracy of the project management information are improved.
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Description

Technical Field

[0001] This application relates to the technical field of engineering information management, and specifically relates to an engineering management information backup method and system. Background Art

[0002] With the continuous expansion of the project scale and the improvement of the informatization level of project management, the requirements for the project management information backup method are also getting higher and higher. In today's complex and rapidly developing engineering field, the importance of project management information is becoming increasingly prominent. Project management information covers information such as project planning, design drawings, construction progress records, cost accounting data, and various contract documents. These project management information are the key factors to ensure the smooth progress of the project, the guarantee of quality, and the effective control of costs. Therefore, efficient and reliable backup of project information is of great significance for ensuring the normal operation and stability of the project.

[0003] The project management information backup methods in the related technologies often cannot effectively screen and accurately backup the project management information to be backed up based on the already backed-up project management information, resulting in low backup efficiency and backup accuracy of the project management information, and there is room for improvement. Summary of the Invention

[0004] The purpose of the embodiments of this application is to provide an engineering management information backup method and system to improve the problem that the project management information backup methods in the related technologies often cannot effectively screen and accurately backup the project management information to be backed up based on the already backed-up project management information, resulting in low backup efficiency and backup accuracy of the project management information.

[0005] In the first aspect of this application, an engineering management information backup method is provided, including the following steps:

[0006] Obtain the already backed-up data of the project management information;

[0007] Extract keywords from the already backed-up data to obtain the already backed-up keywords of the already backed-up data; where the already backed-up data contains at least one already backed-up keyword;

[0008] Conduct a matching analysis on the already backed-up keywords of the already backed-up data to obtain the semantic matching degree between the already backed-up keywords, and generate an already backed-up keyword set of the already backed-up data based on the semantic matching degree of the already backed-up keywords;

[0009] Obtain the keyword text information corresponding to the already backed-up keywords in the already backed-up data, and backup the keyword text information to the already backed-up keyword set corresponding to the already backed-up keywords;

[0010] Obtain the data to be backed up of the project management information;

[0011] Extract keywords from the data to be backed up to obtain the keywords to be backed up for the data to be backed up;

[0012] Perform matching analysis on the keywords to be backed up and the set of backed-up keywords to obtain the keyword matching degree between the keywords to be backed up and the set of backed-up keywords;

[0013] Compare and analyze the keyword matching degree between the keywords to be backed up and the set of backed-up keywords with a preset keyword matching degree threshold;

[0014] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is greater than or equal to the preset keyword matching degree threshold, record the keywords to be backed up as stored keywords, and obtain the set of backed-up keywords corresponding to the stored keywords;

[0015] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is less than the preset keyword matching degree threshold, record the keywords to be backed up as new keywords, and generate a new set of backup keywords based on the new keywords;

[0016] Obtain the keyword text information corresponding to the stored keywords in the data to be backed up, and back up the keyword text information to the set of backed-up keywords corresponding to the stored keywords;

[0017] Obtain the keyword text information corresponding to the new keywords in the data to be backed up, and back up the keyword text information to the new set of backup keywords corresponding to the new keywords.

[0018] Preferably, extract keywords from the backed-up data to obtain the backed-up keywords of the backed-up data; where the backed-up data contains at least one backed-up keyword, specifically:

[0019] Set up a keyword library for project management information, and the keyword library contains at least one benchmark keyword;

[0020] Obtain the backed-up text information of the backed-up data;

[0021] Perform keyword recognition and keyword extraction on the backed-up text information based on the benchmark keyword to obtain the backed-up keywords of the backed-up data.

[0022] Preferably, perform matching analysis on the backed-up keywords of the backed-up data to obtain the semantic matching degree between the backed-up keywords, specifically:

[0023] Construct a first keyword matching model;

[0024] The first keyword matching model is provided with a model input end, a keyword matching end, and a model output end, where the keyword matching end is preset with a first keyword matching algorithm;

[0025] The input end of the model is used to input the backed-up keywords to be matched and analyzed;

[0026] The keyword matching end is used to generate a first algorithm training set based on historical keyword matching data, and perform algorithm training on the first keyword matching algorithm according to the first algorithm training set to obtain a first target matching algorithm;

[0027] And match the backed-up keywords to be matched and analyzed according to the first target matching algorithm to obtain the semantic matching degree between the backed-up keywords;

[0028] The output end of the model is used to output the semantic matching degree between the backed-up keywords to be matched and analyzed;

[0029] Input the backed-up keywords of the backed-up data into the first keyword matching model, and obtain the semantic matching degree between the backed-up keywords according to the first keyword matching model.

[0030] Preferably, a set of backed-up keywords of the backed-up data is generated according to the semantic matching degree of the backed-up keywords, specifically:

[0031] Compare the semantic matching degrees between the backed-up keywords with a preset semantic matching degree threshold;

[0032] Obtain the backed-up keywords whose semantic matching degree is greater than or equal to the preset semantic matching degree threshold, and mark the backed-up keywords as associated keywords;

[0033] Constitute a set of backed-up keywords according to the associated keywords, and each set of backed-up keywords contains at least two backed-up keywords;

[0034] Obtain the backed-up keywords whose semantic matching degree is less than the preset semantic matching degree threshold, and constitute a set of backed-up associated keywords according to the backed-up keywords, and the set of backed-up keywords contains one backed-up keyword.

[0035] Preferably, obtain the data to be backed up of the project management information; extract keywords from the data to be backed up to obtain the backed-up keywords of the data to be backed up, specifically:

[0036] Obtain the backed-up text information of the data to be backed up;

[0037] Identify and extract keywords from the backed-up text information according to the benchmark keywords in the keyword library to obtain the backed-up keywords of the data to be backed up;

[0038] The data to be backed up contains at least one backed-up keyword.

[0039] Preferably, perform a matching analysis on the keyword to be backed up and the set of backed-up keywords to obtain the keyword matching degree between the keyword to be backed up and the set of backed-up keywords, specifically as follows:

[0040] Construct a second keyword matching model;

[0041] The second keyword matching model is provided with a model input end, a keyword matching end, and a model output end, where the keyword matching end is preset with a second keyword matching algorithm;

[0042] The model input end is used to input the keyword to be backed up and the set of backed-up keywords to be matched and analyzed;

[0043] The keyword matching end is used to generate a second algorithm training set based on historical keyword matching data, and perform algorithm training on the second keyword matching algorithm according to the second algorithm training set to obtain a second target matching algorithm;

[0044] And match the keyword to be backed up with the backed-up keywords in the set of backed-up keywords according to the second target matching algorithm to obtain the keyword matching degree between the keyword to be backed up and the set of backed-up keywords;

[0045] The model output end is used to output the keyword matching degree between the keyword to be backed up and the set of backed-up keywords;

[0046] Input the keyword to be backed up and the set of backed-up keywords into the second keyword matching model, and obtain the keyword matching degree between the keyword to be backed up and the set of backed-up keywords according to the second keyword matching model.

[0047] Preferably, if the keyword matching degree between the keyword to be backed up and the set of backed-up keywords is greater than or equal to a preset keyword matching degree threshold, then record the keyword to be backed up as a stored keyword, and obtain the set of backed-up keywords corresponding to the stored keyword, specifically as follows:

[0048] Record the set of backed-up keywords with a keyword matching degree greater than or equal to the preset keyword matching degree threshold with the stored keyword as the set of candidate keywords;

[0049] Generate a selection priority of the set of candidate keywords according to the keyword matching degree between the set of candidate keywords and the stored keyword, and the selection priority is positively correlated with the keyword matching degree between the set of candidate keywords and the stored keyword;

[0050] Obtain the set of backed-up keywords corresponding to the stored keyword according to the selection priority.

[0051] In the second aspect of the present application, an engineering management information backup system is provided. This system is applied to an engineering management information backup method, and the system includes:

[0052] The first acquisition module: acquires the backed-up data of the project management information;

[0053] The first analysis module: extracts keywords from the backed-up data to obtain the backed-up keywords of the backed-up data; at least one backed-up keyword is included in the backed-up data;

[0054] Performs matching analysis on the backed-up keywords of the backed-up data to obtain the semantic matching degree between the backed-up keywords, and generates a set of backed-up keywords of the backed-up data based on the semantic matching degree of the backed-up keywords;

[0055] Obtains the keyword text information corresponding to the backed-up keywords in the backed-up data, and backs up the keyword text information to the set of backed-up keywords corresponding to the backed-up keywords;

[0056] The second acquisition module: acquires the data to be backed up of the project management information;

[0057] The second analysis module: extracts keywords from the data to be backed up to obtain the keywords to be backed up of the data to be backed up;

[0058] Performs matching analysis on both the keywords to be backed up and the set of backed-up keywords to obtain the keyword matching degree between the keywords to be backed up and the set of backed-up keywords;

[0059] The third analysis module: performs comparison and analysis on the keyword matching degree between the keywords to be backed up and the set of backed-up keywords and a preset keyword matching degree threshold;

[0060] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is greater than or equal to the preset keyword matching degree threshold, the keywords to be backed up are recorded as stored keywords, and the set of backed-up keywords corresponding to the stored keywords is acquired;

[0061] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is less than the preset keyword matching degree threshold, the keywords to be backed up are recorded as new keywords, and a new set of backed-up keywords is generated based on the new keywords;

[0062] The information backup module: acquires the keyword text information corresponding to the stored keywords in the data to be backed up, and backs up the keyword text information to the set of backed-up keywords corresponding to the stored keywords;

[0063] Acquires the keyword text information corresponding to the new keywords in the data to be backed up, and backs up the keyword text information to the new set of backed-up keywords corresponding to the new keywords.

[0064] In summary, the beneficial effects of this application are:

[0065] 1. The present application extracts keywords from the backed-up data of project management information to obtain backed-up keywords, performs matching analysis on the backed-up keywords to obtain the semantic matching degree between the backed-up keywords, generates a set of backed-up keywords for the backed-up data based on the semantic matching degree of the backed-up keywords, and backs up the keyword text information corresponding to the backed-up keywords to the set of backed-up keywords corresponding to the backed-up keywords.

[0066] 2. The present application extracts keywords from the data to be backed up of project management information to obtain keywords to be backed up, performs matching analysis on both the keywords to be backed up and the set of backed-up keywords to obtain the keyword matching degree between the keywords to be backed up and the set of backed-up keywords, and conducts a comparison and analysis on the keyword matching degree between the keywords to be backed up and the set of backed-up keywords and a preset keyword matching degree threshold. If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is greater than or equal to the preset keyword matching degree threshold, the keywords to be backed up are recorded as stored keywords, and the set of backed-up keywords corresponding to the stored keywords is obtained; if the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is less than the preset keyword matching degree threshold, the keywords to be backed up are recorded as new keywords, and a new set of backed-up keywords is generated based on the new keywords; finally, the keyword text information corresponding to the stored keywords in the data to be backed up is backed up to the set of backed-up keywords corresponding to the stored keywords; the keyword text information corresponding to the new keywords in the data to be backed up is backed up to the new set of backed-up keywords corresponding to the new keywords, realizing the effective screening and accurate backup of the data to be backed up of project management information based on the backed-up project management information, and improving the backup efficiency and backup accuracy of project management information. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the technical solutions of the embodiments of the present application, some of the drawings in the embodiments of the present application will be briefly described below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be considered as limiting the scope of the present application.

[0068] Figure 1 It is a schematic flowchart of a method for backing up project management information provided by an embodiment of the present application;

[0069] Figure 2 It is a schematic structural diagram of a system for backing up project management information provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0070] The following combines the embodiments and Figure 1 and Figure 2 to further elaborate on the present application in detail, but the implementation manners of the present application are not limited thereto.

[0071] Refer to Figure 1As shown in the figure, it is a schematic flowchart of a method for backing up engineering management information provided by an embodiment of the present application.

[0072] A method for backing up engineering management information includes the following steps:

[0073] Obtain the backed-up data of the engineering management information;

[0074] Extract keywords from the backed-up data to obtain the backed-up keywords of the backed-up data; where the backed-up data contains at least one backed-up keyword;

[0075] Perform matching analysis on the backed-up keywords of the backed-up data to obtain the semantic matching degree between the backed-up keywords, and generate a set of backed-up keywords of the backed-up data based on the semantic matching degree of the backed-up keywords;

[0076] Obtain the keyword text information corresponding to the backed-up keywords in the backed-up data, and back up the keyword text information to the set of backed-up keywords corresponding to the backed-up keywords;

[0077] Obtain the data to be backed up of the engineering management information;

[0078] Extract keywords from the data to be backed up to obtain the keywords to be backed up of the data to be backed up;

[0079] Perform matching analysis on both the keywords to be backed up and the set of backed-up keywords to obtain the keyword matching degree between the keywords to be backed up and the set of backed-up keywords;

[0080] Perform comparison and analysis on the keyword matching degree between the keywords to be backed up and the set of backed-up keywords and a preset keyword matching degree threshold;

[0081] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is greater than or equal to the preset keyword matching degree threshold, record the keywords to be backed up as stored keywords, and obtain the set of backed-up keywords corresponding to the stored keywords;

[0082] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is less than the preset keyword matching degree threshold, record the keywords to be backed up as new keywords, and generate a new set of backup keywords based on the new keywords;

[0083] Obtain the keyword text information corresponding to the stored keywords in the data to be backed up, and back up the keyword text information to the set of backed-up keywords corresponding to the stored keywords;

[0084] Obtain the keyword text information corresponding to the new keywords in the data to be backed up, and back up the keyword text information to the new set of backup keywords corresponding to the new keywords.

[0085] Extract keywords from the backed-up data to obtain the backed-up keywords of the backed-up data; where the backed-up data contains at least one backed-up keyword, specifically:

[0086] Set up a keyword library for project management information, and the keyword library contains at least one benchmark keyword;

[0087] Obtain the backed-up text information of the backed-up data;

[0088] Based on the benchmark keywords, perform keyword recognition and extraction on the backed-up text information to obtain the backed-up keywords of the backed-up data.

[0089] In some embodiments, the benchmark keywords in the keyword library can be custom preset according to the actual situation of the project management information.

[0090] Perform a matching analysis on the backed-up keywords of the backed-up data to obtain the semantic matching degree between the backed-up keywords, specifically:

[0091] Construct a first keyword matching model;

[0092] The first keyword matching model is provided with a model input end, a keyword matching end and a model output end, where the keyword matching end is preset with a first keyword matching algorithm;

[0093] The model input end is used to input the backed-up keywords to be matched and analyzed;

[0094] The keyword matching end is used to generate a first algorithm training set based on the historical keyword matching data, and perform algorithm training on the first keyword matching algorithm based on the first algorithm training set to obtain a first target matching algorithm;

[0095] And perform matching on the backed-up keywords to be matched and analyzed according to the first target matching algorithm to obtain the semantic matching degree between the backed-up keywords;

[0096] The model output end is used to output the semantic matching degree between the backed-up keywords to be matched and analyzed;

[0097] Input the backed-up keywords of the backed-up data into the first keyword matching model, and obtain the semantic matching degree between the backed-up keywords according to the first keyword matching model.

[0098] In some embodiments, the historical keyword matching data can be obtained through Internet big data or historical keyword association information in the corresponding field of project management information; in addition, the keyword matching end matches all the backed-up keywords of the backed-up data, so the semantic matching degrees between all the backed-up keywords output by the model output end.

[0099] And generate a set of backup keywords for the backup data according to the semantic matching degree of the backup keywords. Specifically:

[0100] Compare the semantic matching degrees between the backup keywords with a preset semantic matching degree threshold;

[0101] Obtain the backup keywords whose semantic matching degree is greater than or equal to the preset semantic matching degree threshold, and mark the backup keywords as associated keywords;

[0102] Constitute a set of backup keywords based on the associated keywords. Each set of backup keywords contains at least two backup keywords;

[0103] Obtain the backup keywords whose semantic matching degree is less than the preset semantic matching degree threshold, and constitute a set of backup associated keywords based on the backup keywords. Each set of backup keywords contains one backup keyword.

[0104] In some embodiments, the semantic matching degree threshold can be preset according to the actual situation of the project management information.

[0105] Obtain the data to be backed up of the project management information; perform keyword extraction on the data to be backed up to obtain the backup keywords of the data to be backed up. Specifically:

[0106] Obtain the backup text information of the data to be backed up;

[0107] Perform keyword recognition and keyword extraction on the backup text information according to the corresponding keywords in the keyword library to obtain the backup keywords of the data to be backed up;

[0108] The data to be backed up contains at least one backup keyword.

[0109] Perform matching analysis on the backup keywords and the set of backup keywords to obtain the keyword matching degree between the backup keywords and the set of backup keywords. Specifically:

[0110] Construct a second keyword matching model;

[0111] The second keyword matching model is provided with a model input end, a keyword matching end and a model output end. Among them, the keyword matching end is preset with a second keyword matching algorithm;

[0112] The model input end is used to input the backup keywords and the set of backup keywords to be matched and analyzed;

[0113] The keyword matching end is used to generate a second algorithm training set according to the historical keyword matching data, and perform algorithm training on the second keyword matching algorithm according to the second algorithm training set to obtain a second target matching algorithm;

[0114] Match the keywords to be backed up with the backed-up keywords in the backed-up keyword set according to the second target matching algorithm to obtain the keyword matching degree between the keywords to be backed up and the backed-up keyword set;

[0115] The model output end is used to output the keyword matching degree between the keywords to be backed up and the backed-up keyword set;

[0116] Input the keywords to be backed up and the backed-up keyword set into the second keyword matching model, and obtain the keyword matching degree between the keywords to be backed up and the backed-up keyword set according to the second keyword matching model.

[0117] In some embodiments, the historical keyword matching data can be obtained through Internet big data or the historical keyword association information in the corresponding field of engineering management information; in addition, the keyword matching end matches all the keywords to be backed up with all the backed-up keyword sets one by one.

[0118] If the keyword matching degree between the keywords to be backed up and the backed-up keyword set is greater than or equal to the preset keyword matching degree threshold, then record the keywords to be backed up as stored keywords, and obtain the backed-up keyword set corresponding to the stored keywords. Specifically:

[0119] Record the backed-up keyword set with a keyword matching degree greater than or equal to the preset keyword matching degree threshold with the stored keywords as the candidate keyword set;

[0120] Generate the selection priority of the candidate keyword set according to the keyword matching degree between the candidate keyword set and the stored keywords. The selection priority is positively correlated with the keyword matching degree between the candidate keyword set and the stored keywords;

[0121] Obtain the backed-up keyword set corresponding to the stored keywords according to the selection priority.

[0122] In some embodiments, the fact that the selection priority is positively correlated with the keyword matching degree between the candidate keyword set and the stored keywords means that: the higher the keyword matching degree between the candidate keyword set and the stored keywords, the higher the selection priority of the candidate keyword set; if there are candidate keywords with the same keyword matching degree with the stored keywords, then randomly sort the candidate keywords with the same keyword matching degree to obtain the selection priority corresponding to the candidate keywords with the same keyword matching degree;

[0123] In addition, obtaining the backed-up keyword set corresponding to the stored keywords according to the selection priority means that the candidate keyword set with the highest selection priority is used as the backed-up keyword set corresponding to the stored keywords.

[0124] Refer to Figure 2 As shown in the figure, it is a schematic structural diagram of an engineering management information backup system provided by an embodiment of the present application. The system includes:

[0125] The first acquisition module: acquire the backed-up data of the project management information;

[0126] The first analysis module: extract keywords from the backed-up data to obtain the backed-up keywords of the backed-up data; at least one backed-up keyword is included in the backed-up data;

[0127] Perform a matching analysis on the backed-up keywords of the backed-up data to obtain the semantic matching degree between the backed-up keywords, and generate a set of backed-up keywords of the backed-up data based on the semantic matching degree of the backed-up keywords;

[0128] Acquire the keyword text information corresponding to the backed-up keywords in the backed-up data, and back up the keyword text information to the set of backed-up keywords corresponding to the backed-up keywords;

[0129] The second acquisition module: acquire the data to be backed up of the project management information;

[0130] The second analysis module: extract keywords from the data to be backed up to obtain the keywords to be backed up of the data to be backed up;

[0131] Perform a matching analysis on both the keywords to be backed up and the set of backed-up keywords to obtain the keyword matching degree between the keywords to be backed up and the set of backed-up keywords;

[0132] The third analysis module: compare and analyze the keyword matching degree between the keywords to be backed up and the set of backed-up keywords with a preset keyword matching degree threshold;

[0133] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is greater than or equal to the preset keyword matching degree threshold, record the keywords to be backed up as stored keywords, and acquire the set of backed-up keywords corresponding to the stored keywords;

[0134] If the keyword matching degree between the keywords to be backed up and the set of backed-up keywords is less than the preset keyword matching degree threshold, record the keywords to be backed up as new keywords, and generate a new set of backed-up keywords based on the new keywords;

[0135] The information backup module: acquire the keyword text information corresponding to the stored keywords in the data to be backed up, and back up the keyword text information to the set of backed-up keywords corresponding to the stored keywords;

[0136] Acquire the keyword text information corresponding to the new keywords in the data to be backed up, and back up the keyword text information to the new set of backed-up keywords corresponding to the new keywords.

[0137] The above are all preferred embodiments of the present application, and do not limit the protection scope of the present application. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application shall be covered within the protection scope of the present application.

Claims

1. A method for backing up engineering management information, characterized in that: The following steps are involved: Obtain backed-up data of project management information; Extracting keywords from the backed up data to obtain backed up keywords for the backed up data; The backed-up data contains at least one backed-up keyword; Performing matching analysis on the backed-up keywords of the backed-up data to obtain semantic matching degrees between the backed-up keywords, and generating a backed-up keyword set for the backed-up data according to the semantic matching degrees of the backed-up keywords; Obtaining keyword text information corresponding to the backed-up keyword in the backed-up data, and backing up the keyword text information to a backed-up keyword set corresponding to the backed-up keyword; Obtain the data to be backed up of engineering management information; Extracting keywords from the data to be backed up to obtain keywords for the data to be backed up; Perform matching analysis on the keywords to be backed up and the keyword set that has been backed up to obtain the keyword matching degree between the keywords to be backed up and the keyword set that has been backed up; Compare and analyze the keyword matching degree of the keyword to be backed up and the keyword set that has been backed up with a preset keyword matching degree threshold; If the keyword matching degree between the keyword to be backed up and the backed-up keyword set is greater than or equal to a preset keyword matching degree threshold, the keyword to be backed up is recorded as a stored keyword, and the backed-up keyword set corresponding to the stored keyword is obtained; If the keyword matching degree of the keyword to be backed up and the keyword set that has been backed up is less than the preset keyword matching degree threshold, the keyword to be backed up is recorded as a newly created keyword, and a newly created backup keyword set is generated based on the newly created keyword; Acquire keyword text information corresponding to the stored keyword in the data to be backed up, and back up the keyword text information to a backed up keyword set corresponding to the stored keyword; The keyword text information corresponding to the newly created keyword in the data to be backed up is obtained, and the keyword text information is backed up to a newly created backup keyword set corresponding to the newly created keyword.

2. A method for backing up engineering management information according to claim 1, characterized in that: Extracting keywords from the backed up data to obtain backed up keywords for the backed up data; The backed up data contains at least one backed up keyword, specifically: Setting a keyword library of engineering management information, wherein the keyword library includes at least one benchmarking keyword; Obtaining backed-up text information of the backed-up data; Keyword recognition and keyword extraction are performed on the backed up text information according to the matching keywords to obtain backed up keywords of the backed up data.

3. A method for backing up engineering management information according to claim 2, characterized in that: Perform matching analysis on the backed-up keywords of the backed-up data to obtain the semantic matching degree between the backed-up keywords, specifically: Construct the first keyword matching model; The first keyword matching model is provided with a model input terminal, a keyword matching terminal and a model output terminal, wherein the keyword matching terminal is preset with a first keyword matching algorithm; The model input end is used to input the backed-up keywords to be matched and analyzed; The keyword matching end is used to generate a first algorithm training set according to the historical keyword matching data, and perform algorithm training on the first keyword matching algorithm according to the first algorithm training set to obtain a first target matching algorithm; and matching the backed-up keywords to be matched and analyzed according to the first target matching algorithm to obtain the semantic matching degree between the backed-up keywords; The model output terminal is used to output the semantic matching degree between the backed-up keywords to be matched and analyzed; The backed-up keywords of the backed-up data are input into a first keyword matching model, and the semantic matching degree between the backed-up keywords is obtained according to the first keyword matching model.

4. A method for backing up engineering management information according to claim 3, characterized in that: And generate the backed up keyword set of the backed up data according to the semantic matching degree of the backed up keywords, specifically: Compare the semantic matching degrees between the backed-up keywords with the preset semantic matching degree threshold; Acquire backed-up keywords whose word meaning matching degree is greater than or equal to a preset word meaning matching degree threshold, and mark the backed-up keywords as associated keywords; A backed-up keyword set is formed according to the associated keywords, wherein each of the backed-up keyword sets contains at least two backed-up keywords; A backed-up keyword whose word meaning matching degree is less than a preset word meaning matching degree threshold is obtained, and a backed-up associated word set is formed according to the backed-up keyword, wherein the backed-up keyword set includes one backed-up keyword.

5. A method for backing up engineering management information according to claim 4, characterized in that: Acquire the data to be backed up of the engineering management information; extract keywords from the data to be backed up to obtain keywords to be backed up of the data to be backed up, specifically: Obtain text information of the data to be backed up; Perform keyword recognition and keyword extraction on the text information to be backed up according to the matching keywords in the keyword library to obtain keywords to be backed up for the data to be backed up; The data to be backed up includes at least one keyword to be backed up.

6. A method for backing up engineering management information according to claim 5, characterized in that: The keywords to be backed up are matched and analyzed with the backed-up keyword set to obtain the keyword matching degree between the keywords to be backed up and the backed-up keyword set, which is specifically: Constructing a second keyword matching model; The second keyword matching model is provided with a model input terminal, a keyword matching terminal and a model output terminal, wherein the keyword matching terminal is preset with a second keyword matching algorithm; The model input end is used to input the backed-up keywords and backed-up keyword sets to be matched and analyzed; The keyword matching end is used to generate a second algorithm training set according to the historical keyword matching data, and perform algorithm training on the second keyword matching algorithm according to the second algorithm training set to obtain a second target matching algorithm; and matching the keyword to be backed up with the backed up keywords in the backed up keyword set according to the second target matching algorithm to obtain a keyword matching degree between the keyword to be backed up and the backed up keyword set; The model output terminal is used to output the keyword matching degree between the keyword to be backed up and the keyword set that has been backed up; The keywords to be backed up and the backed-up keyword set are input into a second keyword matching model, and the keyword matching degree between the keywords to be backed up and the backed-up keyword set is obtained according to the second keyword matching model.

7. A method for backing up engineering management information according to claim 6, characterized in that: If the keyword matching degree between the keyword to be backed up and the backed-up keyword set is greater than or equal to the preset keyword matching degree threshold, the keyword to be backed up is recorded as the stored keyword, and the backed-up keyword set corresponding to the stored keyword is obtained, specifically: Recording the backed-up keyword set whose keyword matching degree with the stored keyword is greater than or equal to a preset keyword matching degree threshold as a candidate keyword set; Generating a selection priority of the candidate keyword set according to the keyword matching degree between the candidate keyword set and the stored keywords, wherein the selection priority is positively correlated with the keyword matching degree between the candidate keyword set and the stored keywords; A backed-up keyword set corresponding to the stored keyword is obtained according to the selection priority.

8. A system for backing up engineering management information, the system being used to implement a method for backing up engineering management information according to any one of claims 1 to 7, characterized in that: The system includes: The first acquisition module: acquires the backed-up data of the engineering management information; The first analysis module: extracts keywords from the backed up data to obtain backed up keywords of the backed up data; wherein the backed up data contains at least one backed up keyword; Performing matching analysis on the backed-up keywords of the backed-up data to obtain semantic matching degrees between the backed-up keywords, and generating a backed-up keyword set for the backed-up data according to the semantic matching degrees of the backed-up keywords; Obtaining keyword text information corresponding to the backed-up keyword in the backed-up data, and backing up the keyword text information to a backed-up keyword set corresponding to the backed-up keyword; The second acquisition module: acquires the data to be backed up of the engineering management information; The second analysis module extracts keywords from the data to be backed up to obtain keywords for the data to be backed up; Perform matching analysis on the keywords to be backed up and the keyword set that has been backed up to obtain the keyword matching degree between the keywords to be backed up and the keyword set that has been backed up; The third analysis module compares and analyzes the keyword matching degree between the keyword to be backed up and the keyword set that has been backed up and a preset keyword matching degree threshold; If the keyword matching degree between the keyword to be backed up and the backed-up keyword set is greater than or equal to a preset keyword matching degree threshold, the keyword to be backed up is recorded as a stored keyword, and the backed-up keyword set corresponding to the stored keyword is obtained; If the keyword matching degree of the keyword to be backed up and the keyword set that has been backed up is less than the preset keyword matching degree threshold, the keyword to be backed up is recorded as a newly created keyword, and a newly created backup keyword set is generated based on the newly created keyword; Information backup module: obtaining keyword text information corresponding to the stored keyword in the data to be backed up, and backing up the keyword text information to a backed up keyword set corresponding to the stored keyword; The keyword text information corresponding to the newly created keyword in the data to be backed up is obtained, and the keyword text information is backed up to a newly created backup keyword set corresponding to the newly created keyword.