CN117575542B - Building engineering data control system and method based on modularized assembly - Google Patents
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Abstract
The invention relates to the technical field of engineering data management, in particular to a building engineering data control system and method based on modular assembly, comprising the following steps: the system comprises an engineering construction data acquisition module, a database, an engineering construction data analysis module, a data management target screening module and a data storage management module, wherein the engineering construction data acquisition module is used for acquiring engineering construction project decomposition information and engineering construction history information, the database is used for storing all acquired data, the engineering construction data analysis module is used for setting a critical threshold value for data storage priority integration, the data management target screening module is used for screening target projects needing data storage management, the data storage management module is used for carrying out sub-project data storage integration processing on the screened target projects, the difficulty of calling and integrating data of engineering construction projects is reduced on the basis of reducing unnecessary increase of engineering project data storage cost, and the probability of calling complete data is improved.
Description
Technical Field
The invention relates to the technical field of engineering data management, in particular to a building engineering data control system and method based on modular assembly.
Background
The building based on modularized assembly is a modularized integrated building, the building is split into modularized units, the construction procedures of a modular structure, decoration, water and electricity, equipment pipelines, bathroom facilities and the like are efficiently completed in a factory, the building is assembled into a whole in a field through a reliable connection technology, the modularized integrated building moves the building into the factory from a construction site, the construction period is greatly shortened, the construction difficulty is reduced, along with the development of economy, the construction project is gradually enlarged, more and more data are generated in the construction project construction process, project data management work is needed to be done when the construction project information is stored, and the smooth progress of the project construction project is ensured;
however, in the prior art, the data generated by the sub-items are usually stored on different servers separately, but for the project construction projects with excessive number of sub-items which are partially decomposed, the sub-item data are excessively scattered, which easily causes the problem that the difficulty of calling integration is increased when a plurality of sub-item partial data needs to be called jointly, and even the problem that the called data is incomplete due to the excessively scattered data storage may occur.
Therefore, there is a need for a modular assembly-based construction data control system and method that addresses the above-described problems.
Disclosure of Invention
The invention aims to provide a building engineering data control system and method based on modular assembly, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a modular assembly-based construction engineering data control system, the system comprising: the system comprises an engineering construction data acquisition module, a database, an engineering construction data analysis module, a data management target screening module and a data storage management module;
the output end of the engineering construction data acquisition module is connected with the input end of the database, the output end of the database is connected with the input ends of the engineering construction data analysis module and the data storage management module, the output end of the engineering construction data analysis module is connected with the input end of the data management target screening module, and the output end of the data management target screening module is connected with the input end of the data storage management module;
the engineering construction data acquisition module is used for acquiring engineering construction project decomposition information and engineering construction data generation and calling information and transmitting all acquired data to the database;
the database is used for storing all received data;
the engineering construction data analysis module is used for classifying historical engineering projects, and setting a critical threshold value for data storage priority integration by referring to classification;
the data management target screening module is used for screening target items needing to be subjected to data storage management;
and the data storage management module is used for carrying out sub-item data storage integration processing on the screened target items.
Further, the engineering construction data acquisition module comprises an item decomposition information acquisition unit and an engineering information acquisition unit;
the output ends of the project decomposition information acquisition unit and the engineering information acquisition unit are connected with the input end of the database;
the project decomposition information acquisition unit is used for acquiring sub-project information decomposed by different project projects in history, and comprises decomposed sub-project name information and sub-project quantity information;
the project information acquisition unit is used for acquiring data volume information generated by each sub-project in the construction process of the historical project and calling information of past sub-project data, and the calling information of the sub-project data comprises calling times and the called data volume information.
Further, the engineering construction data analysis module comprises a history item classification unit and a critical threshold setting unit;
the input end of the history item classification unit is connected with the output end of the database, and the output end of the history item classification unit is connected with the input end of the critical threshold setting unit;
the history project classification unit is used for comparing the sub-project quantity information decomposed by different history projects and classifying the history projects according to the comparison result;
the critical threshold setting unit is used for analyzing the classification result and setting a critical threshold for data storage priority integration.
Further, the data management target screening module comprises a sub-item quantity comparison unit and a management target screening unit;
the input end of the sub-item quantity comparison unit is connected with the output end of the critical threshold setting unit, and the output end of the sub-item quantity comparison unit is connected with the input end of the management target screening unit;
the sub-project number comparison unit is used for obtaining the sub-project number decomposed by the current project and comparing the sub-project number decomposed by the current project with a critical threshold;
the management target screening unit is used for screening the current engineering project to serve as a data storage management target if the number of sub-projects decomposed by the current engineering project exceeds a critical threshold; if the number of sub-projects decomposed by the current engineering project does not exceed the critical threshold, the sub-projects are not used as data storage management targets.
Further, the data storage management module comprises a data association analysis unit and a data integration storage unit;
the input end of the data association analysis unit is connected with the output ends of the management target screening unit and the database, and the output end of the data association analysis unit is connected with the input end of the data integration storage unit;
the data association analysis unit is used for retrieving sub-project decomposition information of a data storage management target, acquiring a historical engineering project with the same name as the sub-project of the target decomposition, retrieving data amount information generated by each sub-project in the construction process of the acquired historical engineering project and calling information of past sub-project data, and analyzing association compactness between every two sub-projects;
the data integration storage unit is used for comparing the association closeness and preferentially integrating and storing the data generated by the data storage management target in the construction process according to the comparison result.
A building engineering data control method based on modular assembly comprises the following steps:
z1: collecting project construction project decomposition information and project construction data generation and calling information;
z2: classifying the historical engineering projects, and setting a critical threshold value for data storage priority integration by referring to classification;
z3: screening out target items which need to be subjected to data storage management;
z4: and carrying out sub-item data storage and integration processing on the screened target items.
Further, in step Z1: the number of sub-projects which collect the decomposition of the engineering project which is finished in the past is set as P= { P 1 ，P 2 ，...，P n And n represents the number of the project items which are finished in the past, sub-project name information of decomposition of the project items which are finished in the past is collected, data amount information of each sub-project generated in the construction process of the project items which are history and calling information of the data of the sub-project which comprises the calling times and the calling data amount information.
Further, in step Z2: comparing the number of sub-projects decomposed by the past finished engineering projects, arranging n finished engineering projects in the order of the number of the decomposed sub-projects from large to small, and dividing the n finished engineering projects into f types, wherein the number of the sub-projects decomposed by each finished engineering project in the former type is larger than that of the latter type, and acquiring a random classification result, wherein the average number set of the sub-projects decomposed by each engineering project in the f types is L= { L 1 ，L 2 ，...，L f -calculating a reference level Q of a random one of the classification results for data storage management object screening according to the following formula:
；
wherein L is i Representing the average number of sub-items decomposed by the i-th engineering item in f class in one classification result, calculating the reference degree of different classification results on the screening of the data storage management target in the same calculation mode, obtaining the classification result with the highest reference degree, and obtaining the sub-item number set of the first class of finished engineering item decomposition from the classification result with the highest reference degree as A= { A 1 ，A 2 ，...A m M represents the number of first class of finished engineering projects in the classification result with the highest reference degree, a critical threshold value for preferential integration of data storage is set as r,wherein A is j Represents the j-th in the first classNumber of sub-projects of the completed project breakdown;
in order to more accurately define whether the number of the sub-projects is more or less, a critical threshold value for data storage priority integration is set as a definition standard, the definition standard is confirmed by collecting the number of the sub-projects of the project decomposition which is finished in the past through a big data technology, classifying the project according to the number of the sub-projects, classifying the project with the large number of the sub-projects into one type, and setting the sub-project decomposition data of the project with the largest number of the sub-projects as reference data to set the critical threshold value for data storage priority integration, thereby improving the accuracy of measuring the number of the sub-projects of different project decompositions.
Further, in step Z3: the number of sub-projects decomposed by the current engineering project is s, and the s and r are compared: if s > r, screening the current engineering project as a data storage management target; if s is less than or equal to r, the current engineering project is not used as a data storage management target;
the purpose of setting the critical threshold of data storage priority integration is to judge whether the number of sub-projects decomposed by the current engineering project is excessive or not, so as to further judge whether the current engineering project is to be used as a data storage management target and conduct data storage management, and the screening process is beneficial to reducing unnecessary data storage management work.
Further, in step Z4: acquiring sub-project name information of a selected random data storage management target decomposition, acquiring g historical engineering projects with the same sub-project name as the corresponding target decomposition, and calling a total data volume set generated by each sub-project in the construction process of the random historical engineering project in the g historical engineering projects as B= { B 1 ，B 2 ，...，B y Wherein y represents the number of sub-items corresponding to the decomposition of the history engineering item, the number of times of simultaneous calling of data generated by two random sub-items is x, and the data volume set of the data to be simultaneously called each time is b= { b 1 ，b 2 ，...，b x Calculating a correlation closeness J between random two sub-items according to the following data u ：
；
Wherein b e Representing the data quantity of the e-th data called simultaneously by two random sub-items, B a And B c Respectively representing total data quantity generated by corresponding two sub-items, and calculating to obtain a correlation compactness set of J= { J between every two y sub-items through the same calculation mode 1 ，J 2 ，...，J u ，...，J t Wherein t represents the number of groups of sub-items in pairs,comparing the association closeness, screening out two sub-items with highest association closeness, obtaining the names of the screened sub-items, and integrating and storing the data generated by the two sub-items preferentially, wherein the names of the sub-items are the same as those of the screened sub-items and are decomposed by the data storage management target;
the sub-items needing to be subjected to data integration and storage are judged by analyzing the association compactness between the sub-items, the higher the association compactness is, the more likely that the data generated by the two sub-items are called simultaneously, and in order to improve the convenience and the integrity of engineering construction data calling, reduce the difficulty of the engineering construction project calling and integrating the data, the data of the two sub-items are selected for integration and storage, the unnecessary increase of the engineering project data storage cost can be reduced to a certain extent after the integration and storage is carried out, and the probability of calling the complete data is improved.
Compared with the prior art, the invention has the following beneficial effects:
the invention collects the number of sub-projects decomposed by the past completed building engineering projects through a big data technology, classifies the engineering projects according to the number of sub-projects, classifies the engineering projects with a plurality of sub-projects into one category, and sets the critical threshold value of data storage priority integration by taking the sub-project decomposed data of the project with the largest number of sub-projects as reference data, thereby improving the accuracy of measuring the number of sub-projects decomposed by different projects; judging whether the number of sub-projects decomposed by the current engineering project is excessive or not so as to further judge whether the current engineering project is to be used as a data storage management target and carry out data storage management, and the screening process effectively reduces unnecessary data storage management work;
the sub-projects needing to be subjected to data integration storage are judged by analyzing the association compactness among the sub-projects, so that the convenience and the integrity of engineering construction data calling are improved, the difficulty of engineering construction project calling and data integration is reduced, the data of the two sub-projects are selected for integration storage, the unnecessary increase of the engineering project data storage cost can be reduced to a certain extent after integration storage, and the probability of calling complete data is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of a modular assembly-based construction data control system of the present invention;
fig. 2 is a schematic diagram of steps of a construction engineering data control method based on modular assembly according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The invention is further described below with reference to fig. 1-2 and the specific embodiments.
Example 1:
as shown in fig. 1, the present embodiment provides a construction engineering data control system based on modular assembly, the system comprising: the system comprises an engineering construction data acquisition module, a database, an engineering construction data analysis module, a data management target screening module and a data storage management module, wherein the engineering construction data acquisition module is used for acquiring engineering construction project decomposition information and engineering construction data generation and calling information, transmitting all acquired data to the database, the database is used for storing all received data, the engineering construction data analysis module is used for classifying historical engineering projects, setting a critical threshold value for data storage priority integration by referring to classification, the data management target screening module is used for screening out target projects needing data storage management, and the data storage management module is used for carrying out sub-project data storage integration processing on the screened target projects.
The project construction data acquisition module comprises an project decomposition information acquisition unit and an engineering information acquisition unit, wherein the project decomposition information acquisition unit is used for acquiring sub-project information decomposed by different historical projects, the project decomposition information acquisition unit comprises decomposed sub-project name information and sub-project quantity information, the engineering information acquisition unit is used for acquiring data quantity information generated by each sub-project in the historical project construction process and calling information of past sub-project data, and the calling information of the sub-project data comprises calling times and calling data quantity information.
The engineering construction data analysis module comprises a history item classification unit and a critical threshold setting unit, wherein the history item classification unit is used for comparing sub-item quantity information decomposed by different history engineering items, classifying the history engineering items according to comparison results, and the critical threshold setting unit is used for analyzing classification results and setting a critical threshold for data storage priority integration.
The data management target screening module comprises a sub-project quantity comparison unit and a management target screening unit, wherein the sub-project quantity comparison unit is used for obtaining the sub-project quantity decomposed by the current project, comparing the sub-project quantity decomposed by the current project with a critical threshold value, and the management target screening unit is used for screening the current project as a data storage management target if the sub-project quantity decomposed by the current project exceeds the critical threshold value; if the number of sub-projects decomposed by the current engineering project does not exceed the critical threshold, the sub-projects are not used as data storage management targets.
The data storage management module comprises a data association analysis unit and a data integration storage unit, wherein the data association analysis unit is used for retrieving sub-project decomposition information of a data storage management target, acquiring a historical engineering project with the same name as the sub-project decomposed by the target, retrieving data amount information generated by each sub-project in the construction process of the acquired historical engineering project and calling information of past sub-project data, analyzing association closeness between every two sub-projects, and the data integration storage unit is used for comparing the association closeness and integrating and storing data generated by the data storage management target in the construction process preferentially according to a comparison result.
Example 2:
as shown in fig. 2, the present embodiment provides a construction engineering data control method based on modular assembly, which is implemented based on the data control system in the embodiment, and specifically includes the following steps:
z1: collecting project decomposition information and project data generation and call information, wherein the number set of sub-projects of project decomposition which is completed in the past is collected as P= { P 1 ，P 2 ，P 3 ，P 4 ，P 5 ，P 6 ，P 7 The method comprises the steps of collecting sub-project name information of decomposition of a past finished engineering project, collecting data amount information of each sub-project generated in the construction process of the past engineering project and calling information of past sub-project data, wherein the calling information of the sub-project data comprises calling times and calling data amount information;
z2: classifying the historical engineering projects, referring to classification setting data storage priority integrated critical threshold, comparing the number of sub-projects decomposed by the past finished engineering projects, arranging 7 finished engineering projects according to the sequence of the number of the decomposed sub-projects from large to small, classifying the 7 finished engineering projects into 3 classes, and obtaining a random classification result as follows: the number sets of sub-projects decomposed by 3 types of engineering projects are {12, 11}, {9,8,6}, and {5,4}, respectively, and in the corresponding classification result, the average number set of sub-projects decomposed by each type of engineering projects in 3 types is L= { L 1 ，L 2 ，L 3 The reference level Q of a random classification result for data storage management target screening is calculated according to the following formula:
；
wherein L is i Representing the average number of sub-items decomposed by the i-th engineering item in the f class in a random classification result, obtaining Q approximately equal to 2.9, calculating the reference degree of different classification results on the screening of the data storage management target in the same calculation mode, and obtaining the classification result with the highest reference degree as follows: the sub-project number sets of the 3-class project decomposition are {12, 11}, {9,8}, and {6,5,4}, respectively, and the sub-project number set of the first-class finished project decomposition obtained from the classification result with the highest reference degree is A= { A 1 ，A 2 } = {12, 11}, set the critical threshold for data storage priority integration to r,；
z3: screening out target items which need to be subjected to data storage management, obtaining the number of sub-items decomposed by the current engineering item as s, and comparing s with r: if s > r, screening the current engineering project as a data storage management target;
for example: s=13, s > r is obtained, and the current engineering project is screened to be used as a data storage management target;
if s is less than or equal to r, the current engineering project is not used as a data storage management target;
z4: performing sub-item data storage integration processing on the screened target items, acquiring sub-item name information of a screened random data storage management target decomposition, acquiring g historical engineering items with the same sub-item name as the corresponding target decomposition, and calling a total data volume set generated by each sub-item in the construction process of the random one of the g historical engineering items as B= { B 1 ，B 2 ，...，B y Wherein y represents the number of sub-items corresponding to the decomposition of the history engineering item, the number of times of simultaneous calling of data generated by two random sub-items is x, and the data volume set of the data to be simultaneously called each time is b= { b 1 ，b 2 ，...，b x Calculating a correlation closeness J between random two sub-items according to the following data u ：
；
Wherein b e Representing the data quantity of the e-th data called simultaneously by two random sub-items, B a And B c Respectively representing total data quantity generated by corresponding two sub-items, and calculating to obtain a correlation compactness set of J= { J between every two y sub-items through the same calculation mode 1 ，J 2 ，...，J u ，...，J t Wherein t represents the number of groups of sub-items in pairs,comparing the association closeness, screening out two sub-items with highest association closeness, acquiring the names of the screened sub-items, and integrating and storing the data generated by the two sub-items preferentially, wherein the names of the sub-items are the same as those of the screened sub-items and are decomposed by the data storage management target.
Finally, it should be noted that: the foregoing is merely a preferred example of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The utility model provides a building engineering data control system based on modularization assembly which characterized in that: the system comprises: the system comprises an engineering construction data acquisition module, a database, an engineering construction data analysis module, a data management target screening module and a data storage management module;
the output end of the engineering construction data acquisition module is connected with the input end of the database, the output end of the database is connected with the input ends of the engineering construction data analysis module and the data storage management module, the output end of the engineering construction data analysis module is connected with the input end of the data management target screening module, and the output end of the data management target screening module is connected with the input end of the data storage management module;
the engineering construction data acquisition module is used for acquiring engineering construction project decomposition information and engineering construction data generation and calling information and transmitting all acquired data to the database;
the database is used for storing all received data;
the engineering construction data analysis module is used for classifying historical engineering projects, and setting a critical threshold value for data storage priority integration by referring to classification;
the data management target screening module is used for screening target items needing to be subjected to data storage management;
the data storage management module is used for carrying out sub-item data storage integration processing on the screened target items;
the number of sub-projects which collect the decomposition of the engineering project which is finished in the past is set as P= { P 1 ，P 2 ，...，P n N represents the number of the project items which are finished in the past, sub-project name information of decomposition of the project items which are finished in the past is collected, data amount information of each sub-project generated in the construction process of the project items which are history and calling information of the data of the sub-project which comprises the calling times and the calling data amount information are collected;
comparing the number of sub-projects decomposed by the past finished engineering projects, arranging n finished engineering projects in the order of the number of the decomposed sub-projects from large to small, and dividing the n finished engineering projects into f types, wherein the number of the sub-projects decomposed by each finished engineering project in the former type is larger than that of the latter type, and acquiring a random classification result, wherein the average number set of the sub-projects decomposed by each engineering project in the f types is L= { L 1 ，L 2 ，...，L f -calculating a reference level Q of a random one of the classification results for data storage management object screening according to the following formula:；
wherein L is i Representing the average number of sub-items decomposed by the i-th engineering item in f class in one classification result, calculating the reference degree of different classification results on the screening of the data storage management target in the same calculation mode, obtaining the classification result with the highest reference degree, and obtaining the sub-item number set of the first class of finished engineering item decomposition from the classification result with the highest reference degree as A= { A 1 ，A 2 ，...A m M represents the number of first class of finished engineering projects in the classification result with the highest reference degree, a critical threshold value for preferential integration of data storage is set as r,wherein A is j Representing the number of sub-projects of the j-th completed project decomposition in the first class;
the number of sub-projects decomposed by the current engineering project is s, and the s and r are compared: if s > r, screening the current engineering project as a data storage management target; if s is less than or equal to r, the current engineering project is not used as a data storage management target;
acquiring sub-project name information of a selected random data storage management target decomposition, acquiring g historical engineering projects with the same sub-project name as the corresponding target decomposition, and calling a total data volume set generated by each sub-project in the construction process of the random historical engineering project in the g historical engineering projects as B= { B 1 ，B 2 ，...，B y Wherein y represents the number of sub-items corresponding to the decomposition of the history engineering item, the number of times of simultaneous calling of data generated by two random sub-items is x, and the data volume set of the data to be simultaneously called each time is b= { b 1 ，b 2 ，...，b x Calculating a correlation closeness J between random two sub-items according to the following data u ：
；
Wherein b e Representing the data quantity of the e-th data called simultaneously by two random sub-items, B a And B c Respectively representing total data quantity generated by corresponding two sub-items, and calculating to obtain a correlation compactness set of J= { J between every two y sub-items through the same calculation mode 1 ，J 2 ，...，J u ，...，J t Wherein t represents the number of groups of sub-items in pairs,comparing the association closeness, screening out two sub-items with highest association closeness, acquiring the names of the screened sub-items, and integrating and storing the data generated by the two sub-items preferentially, wherein the names of the sub-items are the same as those of the screened sub-items and are decomposed by the data storage management target.
2. A modular assembly-based construction data control system as claimed in claim 1, wherein: the engineering construction data acquisition module comprises an item decomposition information acquisition unit and an engineering information acquisition unit;
the output ends of the project decomposition information acquisition unit and the engineering information acquisition unit are connected with the input end of the database;
the project decomposition information acquisition unit is used for acquiring sub-project information decomposed by different project projects in history, and comprises decomposed sub-project name information and sub-project quantity information;
the project information acquisition unit is used for acquiring data volume information generated by each sub-project in the construction process of the historical project and calling information of past sub-project data, and the calling information of the sub-project data comprises calling times and the called data volume information.
3. A modular assembly-based construction data control system as claimed in claim 1, wherein: the engineering construction data analysis module comprises a history item classification unit and a critical threshold setting unit;
the input end of the history item classification unit is connected with the output end of the database, and the output end of the history item classification unit is connected with the input end of the critical threshold setting unit;
the history project classification unit is used for comparing the sub-project quantity information decomposed by different history projects and classifying the history projects according to the comparison result;
the critical threshold setting unit is used for analyzing the classification result and setting a critical threshold for data storage priority integration.
4. A modular assembly-based construction data control system according to claim 3, wherein: the data management target screening module comprises a sub-item quantity comparison unit and a management target screening unit;
the input end of the sub-item quantity comparison unit is connected with the output end of the critical threshold setting unit, and the output end of the sub-item quantity comparison unit is connected with the input end of the management target screening unit;
the sub-project number comparison unit is used for obtaining the sub-project number decomposed by the current project and comparing the sub-project number decomposed by the current project with a critical threshold;
the management target screening unit is used for screening the current engineering project to serve as a data storage management target if the number of sub-projects decomposed by the current engineering project exceeds a critical threshold; if the number of sub-projects decomposed by the current engineering project does not exceed the critical threshold, the sub-projects are not used as data storage management targets.
5. A modular assembly-based construction data control system as claimed in claim 4, wherein: the data storage management module comprises a data association analysis unit and a data integration storage unit;
the input end of the data association analysis unit is connected with the output ends of the management target screening unit and the database, and the output end of the data association analysis unit is connected with the input end of the data integration storage unit;
the data association analysis unit is used for retrieving sub-project decomposition information of a data storage management target, acquiring a historical engineering project with the same name as the sub-project of the target decomposition, retrieving data amount information generated by each sub-project in the construction process of the acquired historical engineering project and calling information of past sub-project data, and analyzing association compactness between every two sub-projects;
the data integration storage unit is used for comparing the association closeness and preferentially integrating and storing the data generated by the data storage management target in the construction process according to the comparison result.
6. A building engineering data control method based on modularized assembly is characterized in that: the method comprises the following steps:
z1: collecting project construction project decomposition information and project construction data generation and calling information;
z2: classifying the historical engineering projects, and setting a critical threshold value for data storage priority integration by referring to classification;
z3: screening out target items which need to be subjected to data storage management;
z4: carrying out sub-item data storage and integration processing on the screened target items;
in step Z1: the number of sub-projects which collect the decomposition of the engineering project which is finished in the past is set as P= { P 1 ，P 2 ，...，P n N represents the number of the project items which are finished in the past, sub-project name information of decomposition of the project items which are finished in the past is collected, data amount information of each sub-project generated in the construction process of the project items which are history and calling information of the data of the sub-project which comprises the calling times and the calling data amount information are collected;
in step Z2: comparing the number of sub-projects decomposed by the past completed engineering projects, and arranging n completed engineering projects in the order of the number of the decomposed sub-projects from large to small and classifying the n completed engineering projects into f types, wherein each completed engineering project in the former type is decomposedThe number of sub-items is larger than that of the latter class, and the average number set of sub-items decomposed by each engineering item in class f is L= { L in the random classification result 1 ，L 2 ，...，L f -calculating a reference level Q of a random one of the classification results for data storage management object screening according to the following formula:；
wherein L is i Representing the average number of sub-items decomposed by the i-th engineering item in f class in one classification result, calculating the reference degree of different classification results on the screening of the data storage management target in the same calculation mode, obtaining the classification result with the highest reference degree, and obtaining the sub-item number set of the first class of finished engineering item decomposition from the classification result with the highest reference degree as A= { A 1 ，A 2 ，...A m M represents the number of first class of finished engineering projects in the classification result with the highest reference degree, a critical threshold value for preferential integration of data storage is set as r,wherein A is j Representing the number of sub-projects of the j-th completed project decomposition in the first class;
in step Z3: the number of sub-projects decomposed by the current engineering project is s, and the s and r are compared: if s > r, screening the current engineering project as a data storage management target; if s is less than or equal to r, the current engineering project is not used as a data storage management target;
in step Z4: acquiring sub-project name information of a selected random data storage management target decomposition, acquiring g historical engineering projects with the same sub-project name as the corresponding target decomposition, and calling a total data volume set generated by each sub-project in the construction process of the random historical engineering project in the g historical engineering projects as B= { B 1 ，B 2 ，...，B y Wherein y represents the number of sub-items corresponding to the decomposition of the historical engineering item, and the data generated by the two random sub-items are acquired simultaneouslyThe number of calls is x, and the data volume set of the data called simultaneously each time is b= { b 1 ，b 2 ，...，b x Calculating a correlation closeness J between random two sub-items according to the following data u ：
；
Wherein b e Representing the data quantity of the e-th data called simultaneously by two random sub-items, B a And B c Respectively representing total data quantity generated by corresponding two sub-items, and calculating to obtain a correlation compactness set of J= { J between every two y sub-items through the same calculation mode 1 ，J 2 ，...，J u ，...，J t Wherein t represents the number of groups of sub-items in pairs,comparing the association closeness, screening out two sub-items with highest association closeness, acquiring the names of the screened sub-items, and integrating and storing the data generated by the two sub-items preferentially, wherein the names of the sub-items are the same as those of the screened sub-items and are decomposed by the data storage management target. />
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