CN117493264A - Intelligent construction engineering electronic archive grouping method and system - Google Patents
Intelligent construction engineering electronic archive grouping method and system Download PDFInfo
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Abstract
The invention provides an intelligent construction engineering electronic archive assembly method and system, which relate to the technical field of intelligent archive assembly and comprise the following steps: receiving a first engineering file uploaded by a user side, wherein the first engineering file has file source characteristics, file white list characteristics, engineering progress characteristics and filling text characteristics; generating an engineering archive grouping result; traversing the grouping result of the engineering files according to the engineering progress characteristics to generate the pre-ordering of the engineering files; acquiring a coiled file of a first identification area of the BIM engineering model; traversing the project file pre-sequencing according to the project progress characteristics and the filling text characteristics, and combining the assembled files to obtain a project file pre-assembled file; and performing coil-forming encoding on the first engineering file based on the engineering file pre-coil-forming, and synchronously storing in a second identification area of the first identification area of the BIM engineering model. The technical problems of heavy calculation amount and low archiving efficiency in the prior art caused by the fact that mapping coding is needed for each attribute content of the archive are solved.
Description
Technical Field
The invention relates to the technical field of intelligent coiling, in particular to an intelligent coiling method and system for electronic files of construction engineering.
Background
The archival of construction engineering files mainly refers to the means that the complete process data in construction engineering, such as the platform, is provided with process data, hidden engineering data, starting data, metering data, third party detection data, construction drawing data, sound image data and supervision data, are electronically stored according to business categories and engineering progress, and are convenient for efficient backtracking.
The traditional automatic archiving of the construction project files mainly comprises the steps of constructing a fixed coding template according to various attributes of the project files as mentioned in CN116126790B, matching corresponding codes of the coding template when the construction project files are received, and archiving and storing according to coding results.
The disadvantage of the prior art is that mapping encoding is required for each attribute content of the archive, which is computationally intensive and results in low archiving efficiency.
Disclosure of Invention
The application provides the intelligent grouping and coiling method and system for the construction engineering electronic files, and aims to solve the technical problems that in the prior art, as mapping coding is needed for each attribute content of the files, the calculated amount is complicated, and the archiving efficiency is low.
In view of the above problems, the present application provides a method and a system for intelligent grouping and coiling of electronic files in construction engineering.
In a first aspect of the disclosure, a method for intelligently winding a construction engineering electronic archive is provided, which is applied to a construction engineering electronic archive intelligent winding system, the system is in communication connection with a BIM engineering model, the system includes a user end, and is applied to a platform end, and includes: receiving a first engineering file uploaded by a user side, wherein the first engineering file has file source characteristics, file white list characteristics, engineering progress characteristics and filling text characteristics; generating an engineering archive grouping result, wherein the engineering archive grouping result performs clustering grouping determination on the first engineering archive through the archive source feature and the archive white table feature; traversing the project file grouping result to perform serialization adjustment according to the project progress characteristics, and generating project file pre-ordering; acquiring a coiled file of a first identification area of a BIM engineering model, wherein the first identification area is determined by mapping the BIM engineering model based on the file source characteristics and the file white table characteristics; traversing the project file pre-sequencing according to the project progress characteristics and the filling text characteristics, and performing self-adaptive arrangement in the assembled file to obtain a project file pre-assembled file; and performing group volume coding on the first engineering file based on the engineering file pre-group volume, and synchronously storing the group volume coding in a second identification area of the first identification area of the BIM engineering model.
In another aspect of the disclosure, an intelligent construction engineering electronic archive winding system is provided, the system is in communication connection with a BIM engineering model, the system includes a user end, and is applied to a platform end, and includes: the system comprises an engineering file receiving module, a file processing module and a file processing module, wherein the engineering file receiving module is used for receiving a first engineering file uploaded by a user side, and the first engineering file is provided with file source characteristics, file white list characteristics, engineering progress characteristics and filling text characteristics; the archive grouping module is used for generating an engineering archive grouping result, wherein the engineering archive grouping result carries out clustering grouping determination on the first engineering archive through the archive source characteristics and the archive white table characteristics; the file pre-sequencing module is used for traversing the project file grouping result to carry out serialization adjustment according to the project progress characteristics so as to generate project file pre-sequencing; the assembled file loading module is used for acquiring assembled files of a first identification area of the BIM engineering model, wherein the first identification area is determined by mapping the BIM engineering model based on the file source characteristics and the file white table characteristics; the file pre-winding module is used for traversing the project file pre-sequencing according to the project progress characteristics and the filling text characteristics, and performing self-adaptive arrangement in the wound files to obtain project file pre-winding; the archive coding mapping module is used for performing scroll coding on the first engineering archive based on the engineering archive pre-scroll, and synchronously storing the scroll coding in a second identification area of the first identification area of the BIM engineering model; wherein, the user can inquire the file code through the BIM engineering model and inquire the engineering file.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
because the project files are grouped through the file source characteristics and the file white list characteristics, the grouped files of the project files are determined in BIM project model mapping based on the file source characteristics and the file white list characteristics; pre-coiling the engineering progress features of the engineering files and the filling text features according to the coiled files; according to the technical scheme of coding the pre-winding results, the storage positions of the engineering archives to be wound are matched through archival features, then direct coding is carried out according to the storage positions, one-to-one corresponding coding is not needed depending on coding templates, and the technical effect of improving the archival efficiency of the engineering archives is achieved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a possible method for intelligent grouping and scrolling of electronic files in construction engineering according to an embodiment of the present application;
fig. 2 is a schematic diagram of a possible structure of an intelligent system for assembling and rolling electronic files in construction engineering according to an embodiment of the present application.
Reference numerals illustrate: an engineering archive receiving module 100, an archive grouping module 200, an archive pre-ordering module 300, a scrolled archive loading module 400, an archive pre-scroll module 500, and an archive code mapping module 600.
Detailed Description
The technical scheme provided by the application has the following overall thought:
the embodiment of the application provides a method and a system for intelligently grouping electronic files of construction engineering, which are characterized in that the files are grouped through file source characteristics and file white table characteristics, and the grouped files of the engineering files are determined in BIM engineering model mapping based on the file source characteristics and the file white table characteristics; pre-coiling the engineering progress features of the engineering files and the filling text features according to the coiled files; according to the technical scheme of coding the pre-winding results, the storage positions of the engineering archives to be wound are matched through archival features, then direct coding is carried out according to the storage positions, one-to-one corresponding coding is not needed depending on coding templates, and the technical effect of improving the archival efficiency of the engineering archives is achieved.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, the embodiment of the application provides a construction engineering electronic archive intelligent volume grouping method, which is applied to a construction engineering electronic archive intelligent volume grouping system, the system is in communication connection with a BIM engineering model, the system comprises a user end, is applied to a platform end, and comprises:
in a preferred embodiment, the intelligent winding method of the construction engineering electronic file is implemented by a winding process and has instruction data; the construction project electronic file intelligent winding system is a virtual system built based on a construction project electronic file intelligent winding method and is used for dividing calculation tasks of each step task of the construction project electronic file intelligent winding method; BIM engineering model refers to the engineering digital model built based on BIM technology.
Further, the user side refers to a hardware or software tool for performing man-machine interaction between the construction engineering electronic archive intelligent winding system and a user, and the hardware tool is exemplified by: portable tablet, cell phone or stationary computer and operating interface, etc., the software tools are illustratively: and (5) writing an applet, a webpage or an APP according to the intelligent winding method of the construction engineering electronic file. The platform end refers to a virtual computing center of the construction engineering electronic file intelligent winding system for executing the calculation task of the construction engineering electronic file intelligent winding method.
Receiving a first engineering file uploaded by a user side, wherein the first engineering file has file source characteristics, file white list characteristics, engineering progress characteristics and filling text characteristics;
preferably, a first project file uploaded by a user terminal is received, where the first project file has a file source feature, a file white list feature, a project progress feature and a filling text feature, and includes:
the archive source features comprise identity source features, airspace source features, time domain source features and service source features;
the file white list features comprise frame line layout features, white list character content features and white list character position features;
the engineering progress features comprise engineering type features and construction progress features;
the filler text features include filler text content features and filler text location features.
In a preferred embodiment, when the user needs to archive engineering data, the user can select an electronic form from a form template library for filling in at a visual interface of the user side, and after the editing of the form is completed, the user can click to determine an archive menu option. The electronic file is transmitted to the platform end, namely the first engineering file; the first engineering archive may be one archive, or may be multiple archives of different services, or may be multiple archives of one service.
Further, any one of the project files includes at least a file source feature, a file whitelist feature, a project progress feature, and a fill text feature.
The archive source features refer to various feature data of archive sources, and at least comprise identity source features representing the identity of a user uploading the archive, airspace source features representing construction positions corresponding to archive record data, time domain source features representing construction time corresponding to the archive record data and service source features representing task types corresponding to the archive record data. Further, identity source features are illustratively as follows: a223, representing staff No. 223 of the A company; airspace source characteristics are illustratively as follows: (x, y, z) representing construction site space coordinates; the time domain source features are illustratively as follows: 202201091823, representing the construction time of 18 points and 23 minutes on day 1 and 9 of 2022; traffic source features are illustratively as follows: a8, representing the checking task of the company a to the construction quality. And (5) integrating the above whole to obtain the whole file source characteristics.
The file white form features refer to the form features which are only provided with the form templates and have contents, and at least comprise the frame line layout features of the forms, the white form character content features representing character contents in the white form and the white form character position features representing character distribution positions in the white form. The frame line layout feature, the white form text content feature and the white form text position feature can be realized through an OCR text recognition technology, and the white form text content feature and the white form text position feature of the electronic form are recognized by combining an OCR text scanning technology because the electronic form transmitted to the platform end is preferably in a PDF format after the electronic form is filled in to ensure the integrity of the form data. Preferably, the electronic form is scanned using an OCR scanning device to determine the white text content of the electronic form and the distribution location of the white text, preferably using a line characterization, preferably stored in the form: a= (a) k ，a y ) A represents the character recognition result, a k Characterization of the kth line table, a y Characterization of the y-th column table when a text occupies multiple columns or rows of cell tablesThe preferred storage format is as follows: a= (a) k1-k2 ，a y1-y2 )，a k1-k2 A merging table representing that A characters occupy x1 rows to x2 rows, a y1-y2 The token a word occupies a merged table of columns y1 through y 2. The frame line layout features, namely the distribution coordinates of each sub-table of the characterization table, are also marked by row and column coordinates, and the frame line layout features are already set when the table template is constructed and can be directly extracted.
The project progress features refer to data representing the construction progress, including project type features, different work types corresponding to different project types, and construction progress features, representing the construction completion of the project, and can be set by user definition. The filling text features refer to characters filled in the electronic form template by a user, and specifically comprise filling text content features and filling text position features, and the extraction and positioning modes of the filling text features are identical to those of the white form text features.
By extracting the characteristic data of the files, the method is convenient for later screening of similar archived files, and lays a foundation for efficient coding.
Generating an engineering archive grouping result, wherein the engineering archive grouping result performs clustering grouping determination on the first engineering archive through the archive source feature and the archive white table feature;
preferably, generating the project archive grouping result includes:
traversing the identity source feature, the airspace source feature, the time domain source feature and the service source feature to perform clustering intersection fitting on the first engineering archive to obtain a first engineering archive sub-group;
performing clustering intersection fitting on the first engineering files by traversing the frame wire layout features, the white list character content features and the white list character position features to obtain second engineering file sub-groups;
and performing clustering intersection fitting on the first project file sub-group and the second project file sub-group to obtain the project file grouping result.
Preferably, performing cluster intersection fitting on the first engineering archive by traversing the identity source feature, the airspace source feature, the time domain source feature and the service source feature to obtain a first engineering archive sub-group, including:
according to the identity source characteristics, the first engineering archives are subjected to primary clustering grouping to obtain primary clustering results;
grouping the second-level clusters of the first engineering files according to the airspace source characteristics to obtain a second-level clustering result;
according to the time domain source characteristics, grouping the first engineering archive tertiary clustering to obtain a tertiary clustering result;
grouping the fourth-level clusters of the first engineering archive according to the service source characteristics to obtain a fourth-level clustering result;
and solving a grouping intersection for the primary clustering result, the secondary clustering result, the tertiary clustering result and the quaternary clustering result to generate the first engineering archive sub-grouping.
In a preferred embodiment, the grouping result of the engineering archive refers to determining the grouping result by performing cluster analysis on the first engineering archive according to the similarity between the archive source feature and the archive white table feature.
Specifically, the clustering grouping algorithm is as follows:
step one, performing cluster intersection fitting on the identity source feature, the airspace source feature, the time domain source feature and the service source feature on the first engineering archive to obtain a first engineering archive sub-group, wherein a specific cluster intersection fitting algorithm is as follows:
dividing the engineering files with the same identity source characteristics in the first engineering files into a group to obtain a primary clustering result; dividing the engineering files with the same airspace source characteristics in the first engineering files into a group to obtain a secondary clustering result; dividing the engineering files with the same time domain source characteristics in the first engineering files into a group to obtain a three-level clustering result; dividing the engineering files with the same service source characteristics in the first engineering files into a group to obtain a four-level clustering result; and solving an intersection of the primary clustering result, the secondary clustering result, the tertiary clustering result and the quaternary clustering result to obtain a first engineering file sub-group, wherein the identity source characteristic, the airspace source characteristic, the time domain source characteristic and the service source characteristic of any one group of the first engineering file sub-group are the same.
And step two, traversing the frame wire layout characteristics, the white list character content characteristics and the white list character position characteristics to perform clustering intersection fitting on the first engineering file, and obtaining a second engineering file sub-group. Specifically, the clustering intersection fitting algorithm is as follows:
dividing the project files with the same frame line layout characteristics in the first project file result into a group to obtain a five-level clustering result; dividing the project files with the same white list text content characteristics in the first project file result into a group to obtain a six-level clustering result; dividing the project files with the same white list character position characteristics in the first project file result into a group to obtain a seven-level clustering result; and solving a grouping intersection for the five-level clustering result, the six-level clustering result and the seven-level clustering result to obtain second engineering file sub-groups, wherein the frame line layout characteristics, the white list character content characteristics and the white list character position characteristics of the file data of any second engineering file sub-group are completely the same.
And thirdly, performing clustering intersection fitting on the first project file sub-group and the second project file sub-group, namely solving intersections of the characteristic attributes of the first project file sub-group and the second project file sub-group. Because each archive has the above clustering attribute, the missed archive is not stored, so that the clustering division of each engineering archive is realized, and a data basis is provided for matching the reference archive in the later step.
Traversing the project file grouping result to perform serialization adjustment according to the project progress characteristics, and generating project file pre-ordering;
acquiring a coiled file of a first identification area of a BIM engineering model, wherein the first identification area is determined by mapping the BIM engineering model based on the file source characteristics and the file white table characteristics;
in a preferred embodiment, the project file pre-ordering refers to a result that files of any one project file grouping result are arranged according to time sequence according to the project progress, and the project progress can distribute the files of any one project file grouping result to corresponding time nodes, so that the grouping position of the files can be determined according to the project progress. Preferably, files are arranged according to the engineering progress, files with the front time sequence are processed preferentially, and missing files are avoided.
A scrolled archive refers to an archive that has been archived that is uniquely mapped to a first identified region of the code and BIM engineering model. The first identification area refers to the identification area of the archive which is already archived and has the same archive source characteristics and archive white list characteristics in the BIM engineering model. Different files have different identification areas in the BIM engineering model, and the direct inquiry of the assembled files can be realized through the BIM engineering model.
Traversing the project file pre-sequencing according to the project progress characteristics and the filling text characteristics, and performing self-adaptive arrangement in the assembled file to obtain a project file pre-assembled file;
preferably, traversing the project file pre-ordering according to the project progress feature and the filling text feature, and performing adaptive arrangement in the assembled file to obtain a project file pre-assembled file, including:
constructing an adaptive arrangement algorithm:
acquiring a first filling text attribute matrix and a first engineering progress feature of an ith assembled file of the assembled file;
acquiring a second filling text attribute matrix and a second engineering progress feature of a j-th sequencing file of the engineering file pre-sequencing;
calculating the filling text similarity of the ith assembled file and the jth ordered file, wherein the filling text similarity is generated by calculating the first filling text attribute matrix and the second filling text attribute matrix by using a filling text similarity algorithm;
when the similarity of the filling text is greater than or equal to a similarity threshold, comparing the first engineering progress feature with the second engineering progress feature, and arranging the j-th ordered file and the i-th assembled file to obtain a j-th ordered file group-volume ordering result;
traversing the assembled files to perform self-adaptive arrangement according to the self-adaptive arrangement algorithm based on the j-th ordered files to obtain a j-th ordered file pre-assembled result;
and adding the j-th ordered file pre-winding result into the engineering file pre-winding.
Preferably, calculating the filled text similarity of the ith assembled file and the jth ordered file, where the filled text similarity is generated by calculating the first filled text attribute matrix and the second filled text attribute matrix by using a filled text similarity algorithm, and the method includes:
constructing a similarity evaluation function:
wherein M represents the total number of text attribute types of the ith assembled file and the jth ordered file, x represents any one text attribute type of the ith assembled file, y j Characterizing any text attribute type, x, of a j-th ranking profile i ＝y j The text attribute types that characterize the j-th ordered archive and the i-th assembled archive are the same, count (x i ＝y j ) Characterizing the number of text attribute types of the ith assembled file and the jth ordered file;
and calculating the similarity of the filled texts of the ith assembled file and the jth ordered file according to the similarity evaluation function.
In a preferred embodiment, the project file pre-grouping refers to arranging any one file of the project file pre-ordering in the grouped file based on the project progress feature and the filling text feature, and determining the data of the position where the grouped file is needed. Based on the profile source characteristics and profile white table characteristics of any one of the group profiles of the project profile pre-ordering, the grouped volume profile of each group can be determined.
Further, extracting an ith assembled file from the assembled files, wherein the ith assembled file has a first filling text attribute matrix and a first engineering progress feature; and extracting a j-th ordered archive from the files in the corresponding group, wherein the j-th ordered archive has a second filling text attribute matrix and a second engineering progress feature, the filling text attribute refers to an attribute type of filling text, such as project name, quality score, defect number and the like, and the engineering progress refers to a construction progress time node of archive record.
Using a similarity evaluation function:wherein M represents the total number of text attribute types of the ith assembled file and the jth ordered file, x i Characterizing any one text attribute type, y, of the ith assembled file j Characterizing any text attribute type, x, of a j-th ranking profile i ＝y j The text attribute types that characterize the j-th ordered archive and the i-th assembled archive are the same, count (x i ＝y j ) And (3) representing the number of text attribute types of the ith assembled file and the jth ordered file to be the same, and calculating the filling text similarity of a second filling text attribute matrix and a first filling text attribute matrix of the ith assembled file and the jth ordered file.
When the similarity of the filling text is greater than or equal to a similarity threshold value set by user definition, comparing the first project progress feature with the second project progress feature, and when the first project progress feature is before the second project progress feature, the j-th ordered file should be assembled after the i-th assembled file; if the first project progress feature is behind the second project progress feature, the j-th ordered file should be assembled before the i-th assembled file; if the first project progress feature is the same as the second project progress feature, the j-th ordered file should be assembled at the same position of the i-th assembled file. The difference is in the specific fill property difference at the same location. Based on the j-th ordered archive, each archive of the assembled archive is traversed to determine its particular assembled location. And repeating the steps to obtain the coil position of any one of the files in the project file pre-sequence, and storing the coil position as the project file pre-coil. And the subsequent group volume coding is facilitated.
Performing group volume coding on the first engineering file based on the engineering file pre-group volume, and synchronously storing the group volume coding in a second identification area of a first identification area of the BIM engineering model;
preferably, the first engineering archive is subjected to the group volume encoding based on the engineering archive pre-group volume, the group volume encoding is synchronously stored in a second identification area of the first identification area of the BIM engineering model, and the method comprises the following steps:
acquiring a first pre-set roll position of a q-th archive of the first engineering archive;
acquiring common coding information and differential coding information of the first pre-group coil position;
acquiring mapping attribute characteristics and coding mapping rules of the difference coding information;
according to the mapping attribute characteristics and the coding mapping rule, carrying out local attribute coding on the q-th archive to obtain a first coding result;
synchronizing the common coding information to be set as a second coding result;
and combining the first coding result and the second coding result, obtaining a q-th archive group volume code, and adding the q-th archive group volume code into a second identification area of the group volume code in a first identification area of the BIM engineering model for synchronous storage, wherein the second identification area is a group volume code storage position of the first pre-group volume position.
Wherein, the user can inquire the file code through the BIM engineering model and inquire the engineering file.
In a preferred embodiment, the second identification area refers to any one of the first engineering files, and the code identification area is determined according to the specific group volume position. The second identification area belongs to the first identification area and is a subarea of the first identification area.
Preferably, the group volume coding algorithm is as follows:
taking the q-th archive of the first engineering archive as an example, the first pre-set volume position refers to the pre-set volume position of the q-th archive stored in the engineering archive pre-set volume; the common code of the grouped file at the first pre-grouped volume position is determined to be the common code information, and the different codes are stored as the difference code information. Sharing the q-th file for the bit number of the shared coding information to obtain a second coding result; mapping the bit number of the difference coding information based on a coding template to obtain a first coding result, combining the first coding result and the second coding result, obtaining a q-th archive group volume code, and adding the q-th archive group volume code into a second identification area of a first identification area of the BIM engineering model for synchronous storage, wherein the second identification area is a group volume code storage position of the first pre-group volume position.
By determining the coil positions, sharing the common codes and mapping a small amount of differential codes, compared with the traditional all-code mapping, the method reduces the computation redundancy, reduces the possible frequency of mapping failure and improves the automatic coil grouping efficiency.
In summary, the method and system for intelligently organizing and rolling the electronic files of the construction engineering provided by the embodiment of the application have the following technical effects:
1. the embodiment of the application provides a method and a system for intelligently grouping electronic files of construction engineering, which are characterized in that the files are grouped through file source characteristics and file white table characteristics, and the grouped files of the engineering files are determined in BIM engineering model mapping based on the file source characteristics and the file white table characteristics; pre-coiling the engineering progress features of the engineering files and the filling text features according to the coiled files; according to the technical scheme of coding the pre-winding results, the storage positions of the engineering archives to be wound are matched through archival features, then direct coding is carried out according to the storage positions, one-to-one corresponding coding is not needed depending on coding templates, and the technical effect of improving the archival efficiency of the engineering archives is achieved.
2. By determining the coil positions, sharing the common codes and mapping a small amount of differential codes, compared with the traditional all-code mapping, the method reduces the computation redundancy, reduces the possible frequency of mapping failure and improves the automatic coil grouping efficiency.
Example two
Based on the same inventive concept as the construction project electronic archive intelligent reeling method in the foregoing embodiment, as shown in fig. 2, an embodiment of the present application provides a construction project electronic archive intelligent reeling system, where the system is in communication connection with a BIM project model, and the system includes a user end, and is applied to a platform end, and includes:
the project file receiving module 100 is configured to receive a first project file uploaded by a user side, where the first project file has a file source feature, a file white list feature, a project progress feature and a filling text feature;
a profile grouping module 200, configured to generate an engineering profile grouping result, where the engineering profile grouping result performs cluster grouping determination on the first engineering profile through the profile source feature and the profile white table feature;
the file pre-ordering module 300 is configured to traverse the project file grouping result to perform serialization adjustment according to the project progress feature, so as to generate a project file pre-ordering;
the assembled file loading module 400 is configured to obtain an assembled file of a first identification area of a BIM engineering model, where the first identification area is determined by mapping the BIM engineering model based on the file source feature and the file white table feature;
the archive pre-winding module 500 is configured to traverse the project archive pre-sequencing according to the project progress feature and the filling text feature, and perform adaptive arrangement in the assembled archive to obtain a project archive pre-winding;
the archive coding mapping module 600 is configured to perform an archive coding on the first engineering archive based on the engineering archive pre-archive, and store the archive coding in a second identification area of the first identification area of the BIM engineering model in synchronization;
wherein, the user can inquire the file code through the BIM engineering model and inquire the engineering file.
Further, the project file receiving module 100 performs the steps of:
the archive source features comprise identity source features, airspace source features, time domain source features and service source features;
the file white list features comprise frame line layout features, white list character content features and white list character position features;
the engineering progress features comprise engineering type features and construction progress features;
the filler text features include filler text content features and filler text location features.
Further, the archive grouping module 200 performs the steps of:
traversing the identity source feature, the airspace source feature, the time domain source feature and the service source feature to perform clustering intersection fitting on the first engineering archive to obtain a first engineering archive sub-group;
performing clustering intersection fitting on the first engineering files by traversing the frame wire layout features, the white list character content features and the white list character position features to obtain second engineering file sub-groups;
and performing clustering intersection fitting on the first project file sub-group and the second project file sub-group to obtain the project file grouping result.
Further, the archive grouping module 200 further performs the steps of:
according to the identity source characteristics, the first engineering archives are subjected to primary clustering grouping to obtain primary clustering results;
grouping the second-level clusters of the first engineering files according to the airspace source characteristics to obtain a second-level clustering result;
according to the time domain source characteristics, grouping the first engineering archive tertiary clustering to obtain a tertiary clustering result;
grouping the fourth-level clusters of the first engineering archive according to the service source characteristics to obtain a fourth-level clustering result;
and solving a grouping intersection for the primary clustering result, the secondary clustering result, the tertiary clustering result and the quaternary clustering result to generate the first engineering archive sub-grouping.
Further, the executing steps of the archive pre-winding module 500 include:
constructing an adaptive arrangement algorithm:
acquiring a first filling text attribute matrix and a first engineering progress feature of an ith assembled file of the assembled file;
acquiring a second filling text attribute matrix and a second engineering progress feature of a j-th sequencing file of the engineering file pre-sequencing;
calculating the filling text similarity of the ith assembled file and the jth ordered file, wherein the filling text similarity is generated by calculating the first filling text attribute matrix and the second filling text attribute matrix by using a filling text similarity algorithm;
when the similarity of the filling text is greater than or equal to a similarity threshold, comparing the first engineering progress feature with the second engineering progress feature, and arranging the j-th ordered file and the i-th assembled file to obtain a j-th ordered file group-volume ordering result;
traversing the assembled files to perform self-adaptive arrangement according to the self-adaptive arrangement algorithm based on the j-th ordered files to obtain a j-th ordered file pre-assembled result;
and adding the j-th ordered file pre-winding result into the engineering file pre-winding.
Further, the executing steps of the archive pre-winding module 500 include:
constructing a similarity evaluation function:
wherein M represents the total number of text attribute types of the ith assembled file and the jth ordered file, x represents any one text attribute type of the ith assembled file,y j characterizing any text attribute type, x, of a j-th ranking profile i ＝y j The text attribute types that characterize the j-th ordered archive and the i-th assembled archive are the same, count (x i ＝y j ) Characterizing the number of text attribute types of the ith assembled file and the jth ordered file;
and calculating the similarity of the filled texts of the ith assembled file and the jth ordered file according to the similarity evaluation function.
Further, the archive code mapping module 600 performs the steps of:
acquiring a first pre-set roll position of a q-th archive of the first engineering archive;
acquiring common coding information and differential coding information of the first pre-group coil position;
acquiring mapping attribute characteristics and coding mapping rules of the difference coding information;
according to the mapping attribute characteristics and the coding mapping rule, carrying out local attribute coding on the q-th archive to obtain a first coding result;
synchronizing the common coding information to be set as a second coding result;
and combining the first coding result and the second coding result, obtaining a q-th archive group volume code, and adding the q-th archive group volume code into a second identification area of the group volume code in a first identification area of the BIM engineering model for synchronous storage, wherein the second identification area is a group volume code storage position of the first pre-group volume position.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any of the methods to implement embodiments of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (8)
1. The intelligent construction engineering electronic archive winding method is characterized by being applied to an intelligent construction engineering electronic archive winding system, wherein the system is in communication connection with a BIM engineering model, the system comprises a user end and is applied to a platform end, and the intelligent construction engineering electronic archive winding method comprises the following steps:
receiving a first engineering file uploaded by a user side, wherein the first engineering file has file source characteristics, file white list characteristics, engineering progress characteristics and filling text characteristics;
generating an engineering archive grouping result, wherein the engineering archive grouping result performs clustering grouping determination on the first engineering archive through the archive source feature and the archive white table feature;
traversing the project file grouping result to perform serialization adjustment according to the project progress characteristics, and generating project file pre-ordering;
acquiring a coiled file of a first identification area of a BIM engineering model, wherein the first identification area is determined by mapping the BIM engineering model based on the file source characteristics and the file white table characteristics;
traversing the project file pre-sequencing according to the project progress characteristics and the filling text characteristics, and performing self-adaptive arrangement in the assembled file to obtain a project file pre-assembled file;
performing group volume coding on the first engineering file based on the engineering file pre-group volume, and synchronously storing the group volume coding in a second identification area of a first identification area of the BIM engineering model;
wherein, the user can inquire the file code through the BIM engineering model and inquire the engineering file.
2. The method of claim 1, wherein receiving a first project archive uploaded by a client, wherein the first project archive has archive source features, archive whitelist features, project progress features, and fill text features, comprises:
the archive source features comprise identity source features, airspace source features, time domain source features and service source features;
the file white list features comprise frame line layout features, white list character content features and white list character position features;
the engineering progress features comprise engineering type features and construction progress features;
the filler text features include filler text content features and filler text location features.
3. The method of claim 2, wherein generating the project archive grouping result comprises:
traversing the identity source feature, the airspace source feature, the time domain source feature and the service source feature to perform clustering intersection fitting on the first engineering archive to obtain a first engineering archive sub-group;
performing clustering intersection fitting on the first engineering files by traversing the frame wire layout features, the white list character content features and the white list character position features to obtain second engineering file sub-groups;
and performing clustering intersection fitting on the first project file sub-group and the second project file sub-group to obtain the project file grouping result.
4. The method of claim 3, wherein performing cluster intersection fitting on the first engineering archive by traversing the identity source feature, the airspace source feature, the time-domain source feature, and the traffic source feature to obtain a first engineering archive sub-group, comprising:
according to the identity source characteristics, the first engineering archives are subjected to primary clustering grouping to obtain primary clustering results;
grouping the second-level clusters of the first engineering files according to the airspace source characteristics to obtain a second-level clustering result;
according to the time domain source characteristics, grouping the first engineering archive tertiary clustering to obtain a tertiary clustering result;
grouping the fourth-level clusters of the first engineering archive according to the service source characteristics to obtain a fourth-level clustering result;
and solving a grouping intersection for the primary clustering result, the secondary clustering result, the tertiary clustering result and the quaternary clustering result to generate the first engineering archive sub-grouping.
5. The method of claim 1, wherein traversing the project archive pre-ordering based on the project progress feature and the fill text feature, performing an adaptive arrangement in the assembled archive, obtaining a project archive pre-assembled volume, comprises:
constructing an adaptive arrangement algorithm:
acquiring a first filling text attribute matrix and a first engineering progress feature of an ith assembled file of the assembled file;
acquiring a second filling text attribute matrix and a second engineering progress feature of a j-th sequencing file of the engineering file pre-sequencing;
calculating the filling text similarity of the ith assembled file and the jth ordered file, wherein the filling text similarity is generated by calculating the first filling text attribute matrix and the second filling text attribute matrix by using a filling text similarity algorithm;
when the similarity of the filling text is greater than or equal to a similarity threshold, comparing the first engineering progress feature with the second engineering progress feature, and arranging the j-th ordered file and the i-th assembled file to obtain a j-th ordered file group-volume ordering result;
traversing the assembled files to perform self-adaptive arrangement according to the self-adaptive arrangement algorithm based on the j-th ordered files to obtain a j-th ordered file pre-assembled result;
and adding the j-th ordered file pre-winding result into the engineering file pre-winding.
6. The method of claim 5, wherein calculating a filled text similarity for the i-th assembled dossier and the j-th ordered dossier, wherein the filled text similarity is generated by the first filled text attribute matrix and the second filled text attribute matrix using a filled text similarity algorithm calculation, comprises:
constructing a similarity evaluation function:
wherein M represents the total number of text attribute types of the ith assembled file and the jth ordered file, x represents any one text attribute type of the ith assembled file, y j Characterizing any text attribute type, x, of a j-th ranking profile i ＝y j The text attribute types that characterize the j-th ordered archive and the i-th assembled archive are the same, count (x i ＝y j ) Characterizing the number of text attribute types of the ith assembled file and the jth ordered file;
and calculating the similarity of the filled texts of the ith assembled file and the jth ordered file according to the similarity evaluation function.
7. The method of claim 5, wherein encoding the first project archive as a group based on the project archive pre-group of volumes, the group of volumes encoded in a second identified region of the first identified region of the BIM project model being stored synchronously, comprising:
acquiring a first pre-set roll position of a q-th archive of the first engineering archive;
acquiring common coding information and differential coding information of the first pre-group coil position;
acquiring mapping attribute characteristics and coding mapping rules of the difference coding information;
according to the mapping attribute characteristics and the coding mapping rule, carrying out local attribute coding on the q-th archive to obtain a first coding result;
synchronizing the common coding information to be set as a second coding result;
and combining the first coding result and the second coding result, obtaining a q-th archive group volume code, and adding the q-th archive group volume code into a second identification area of the group volume code in a first identification area of the BIM engineering model for synchronous storage, wherein the second identification area is a group volume code storage position of the first pre-group volume position.
8. The intelligent construction engineering electronic archive winding system, which is used for implementing the method of any one of claims 1-7, wherein the system is in communication connection with a BIM engineering model, the system comprises a user end, and the system is applied to a platform end and comprises:
the system comprises an engineering file receiving module, a file processing module and a file processing module, wherein the engineering file receiving module is used for receiving a first engineering file uploaded by a user side, and the first engineering file is provided with file source characteristics, file white list characteristics, engineering progress characteristics and filling text characteristics;
the archive grouping module is used for generating an engineering archive grouping result, wherein the engineering archive grouping result carries out clustering grouping determination on the first engineering archive through the archive source characteristics and the archive white table characteristics;
the file pre-sequencing module is used for traversing the project file grouping result to carry out serialization adjustment according to the project progress characteristics so as to generate project file pre-sequencing;
the assembled file loading module is used for acquiring assembled files of a first identification area of the BIM engineering model, wherein the first identification area is determined by mapping the BIM engineering model based on the file source characteristics and the file white table characteristics;
the file pre-winding module is used for traversing the project file pre-sequencing according to the project progress characteristics and the filling text characteristics, and performing self-adaptive arrangement in the wound files to obtain project file pre-winding;
the archive coding mapping module is used for performing scroll coding on the first engineering archive based on the engineering archive pre-scroll, and synchronously storing the scroll coding in a second identification area of the first identification area of the BIM engineering model;
wherein, the user can inquire the file code through the BIM engineering model and inquire the engineering file.
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