CN113742357A - Method and system for automatically collecting and associating cross-platform design data - Google Patents
Method and system for automatically collecting and associating cross-platform design data Download PDFInfo
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Abstract
The invention provides a method and a system for automatically collecting and associating cross-platform design data, wherein the method comprises the following steps: and the step of automatic data collection, which is used for detecting the data change of each software of the data management platform and automatically starting the automatic data collection process according to the data change condition. And a data conversion step, namely automatically extracting each software data after the data are automatically collected, and automatically converting each extracted software data according to a required data format. And a data classification step, namely classifying the converted data and storing the classified data in a database of the data aggregation platform. And a data association step, which is used for automatically associating the classified data of different data types according to a preset logic rule to form an association relation. The invention effectively realizes the automatic collection and association of cross-platform design data.
Description
Technical Field
The invention belongs to the technical field of data collection, and particularly relates to a method and a system for automatically collecting and associating cross-platform design data.
Background
The digital design system is divided into two major categories, namely a three-dimensional factory design system (for developing layout design) and a two-dimensional digital design system (for developing system design, calculation and the like), the core of the digital design system is based on data, and the digital design system is widely applied to the engineering design field at present and provides design data for engineering general contract projects (EPC projects) and factories in the operating period.
In the design period, according to the requirements of different design specialties and design stages, various design software are applied, so that the design software cannot directly perform data collaboration and are independent of each other, automatic data collection cannot be performed automatically, an association relation is formed, the data designed by the data cannot be managed completely and uniformly, and a data management means is lacked.
The existing implementation scheme needs to configure data acquisition personnel and data sorting and associating personnel independently, the overall efficiency of automatic data collection and data association is low, human resources are occupied, and the response to data change is slow. Therefore, it is necessary to design a method and a system for automatically collecting and associating cross-platform design data, so as to automatically collect and associate data in different design software.
Disclosure of Invention
In view of the above problems, the present invention provides a method for automatically collecting and associating cross-platform design data, wherein the method comprises:
the data automatic collection step is used for detecting data changes of all software of the data management platform and automatically starting the data automatic collection process according to the data change conditions;
a data conversion step, which is used for automatically extracting each software data after the data are automatically collected and automatically converting each extracted software data according to the required data format;
a data classification step, which is used for classifying the converted data and storing the classified data in a database of a data collection platform;
and a data association step, which is used for automatically associating the classified data of different data types according to a preset logic rule to form an association relation.
Further, in the step of automatically collecting data, the manner of detecting data changes of each software of the data management platform is as follows:
and for the software with the database not open to access, checking the data change condition in the database of the design software in a shared folder checking mode.
For software with open access to a database, a data version record file is analyzed or design data updating is checked, and data change conditions in the database of the design software are checked.
Further, the method for checking the shared folder includes:
a data export step, which is used for exporting all data in the software which is not openly accessed by the database and storing the data in a shared folder;
and a shared data checking step, which is used for checking whether the data in the shared folder has changes.
Further, the method for analyzing the data version record file includes:
the analysis step is used for analyzing the data version record file in the software with open access to the database with the data version record file;
and a data version updating judgment step, which is used for judging whether the analyzed data version record file has data updating.
Further, the checking and updating method of the design data includes:
a data updating and checking step, which is used for checking all data in the software which has open access to the database of the non-data version record file;
and a data updating judging step, which is used for judging whether all the checked data have data updating.
Further, the data conversion step specifically operates as follows:
automatically extracting each software data after the data are automatically collected;
analyzing the extracted software data;
and carrying out format conversion on each analyzed software data according to a required data format, wherein the analyzed data of the same type can be converted into the same format during format conversion.
Further, the data classification step specifically operates as follows:
establishing a structured data rule and an unstructured data rule;
labeling the converted data according to a structured data rule;
and attaching codes to the data subjected to the label marking, and respectively coding and storing the data into a collection database according to different data types.
Further, the data association step specifically operates as follows:
and through the preset logic rules, the corresponding association relations of the different types of data are automatically generated, the association relations are checked, and the association relations can be automatically updated after the data and the rules are changed.
In another aspect, the present invention further provides a system for automatically collecting and associating cross-platform design data, wherein the system comprises:
and the data automatic collection module is used for detecting data change of each software of the data management platform and automatically starting the data automatic collection process according to the data change condition.
And the data conversion module is used for automatically extracting each software data after the data are automatically collected and automatically converting each extracted software data according to the required data format.
And the data classification module is used for classifying the converted data and storing the classified data in a database of the data aggregation platform.
And the data association module is used for automatically associating the classified data of different data types according to a preset logic rule to form an association relation.
Further, the data conversion module performs operations of:
automatically extracting each software data after the data are automatically collected;
analyzing the extracted software data;
and carrying out format conversion on each analyzed software data according to a required data format, wherein the analyzed data of the same type can be converted into the same format during format conversion.
Further, the data classification module performs operations of:
establishing a structured data rule and an unstructured data rule;
labeling the converted data according to a structured data rule;
and attaching codes to the data subjected to the label marking, and respectively coding and storing the data into a collection database according to different data types.
Further, the data association module performs operations of:
the method comprises the steps of automatically generating corresponding association relations for different types of data through preset logic rules, checking the association relations, and automatically updating the association relations after the data, the rules and the like are changed.
The method and the system for automatically collecting and associating the cross-platform design data have the following beneficial effects:
(1) the method solves the problem of data correlation among different design software, eliminates a design isolated island in design, can check the data consistency in different professional design software, improves the quality of design data, improves the design quality, reduces errors generated by data inconsistency, and creates conditions for subsequent data transfer in the design process.
(2) The automatic data collection and association process basically realizes automation, the automatic data collection step, the data conversion step, the data classification step and the data association step can be completed through automatic operation, the requirements on data entry and maintenance personnel are reduced, and the accuracy of the automatic data collection, the data classification and the data association is improved by means of automatic operation. The mode realizes the non-inductive collection of the design data, and reduces the unnecessary workload of the design data collection to the design work.
(3) The invention can carry out data collection on most of the existing digital design software, has wide application range, is not limited to the application of a specific application platform, can meet the requirement of adapting to most of the existing design software on the market by customizing the rule, and has better universality.
(4) The data of the invention is automatically collected and associated, the design data forms a data set with an association relation in the system, the data set creates a precondition for the deep application of digital design, the data in different design software can be determined by the data set with the association relation, the data consistency check can be carried out on the design results among different software, and the problem of design caused by the difference of data consistency in the design process is avoided.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 shows a schematic block diagram according to an embodiment of the invention.
FIG. 2 shows a functional block diagram of the data auto-aggregation step according to an embodiment of the present invention.
FIG. 3 shows a flow chart of the steps of automatic data collection according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in FIG. 1, the present invention provides a method for automatically collecting and associating cross-platform design data, the method includes:
and S1, a data automatic collection step, which is used for detecting the data change of each software of the data management platform and automatically starting the data automatic collection process according to the data change condition.
And S2, a data conversion step, namely, automatically extracting each software data (data changed in each software) after the data are automatically collected, and automatically converting each software data after the data are automatically collected according to a required data format.
And S3, a data classification step, namely classifying the converted data and storing the classified data in a database of the data aggregation platform.
And S4, a data association step, namely automatically associating the classified data of different data types according to a preset logic rule to form an association relation.
Since data that is not single software needs to be extracted and the settings of the respective databases and data formats of the respective software are different, the present embodiment can set various data change detection modes. The method can automatically acquire a data field or a model area which changes (for the attribute which changes is data information, the data field which changes is automatically acquired, for the attribute which changes is space occupation information, the model area which changes is automatically acquired), count is carried out, and then the automatic data collection process is triggered in the specified time to realize the collection of the data.
For S1, the data auto-aggregation step, as shown in fig. 2, is detailed as follows:
s11, selecting a data inspection mode;
s12, updating automatic check data;
and S13, starting an automatic aggregation process. It should be appreciated that the automatic aggregation process is to aggregate data into a database of a data aggregation platform.
As shown in fig. 3, in step S11, specifically, it is necessary to determine which of the software is the software with database unopened access and which is the software with database opened access, and the software with database unopened access is checked for the data change in the database of the software by checking the shared folder in the manner of detecting the data change in the software of the data management platform.
The method for checking the shared folder comprises the following steps:
and a data export step, namely exporting all data in software (such as Smartplant 3D software and Smartplant P & id software) with open access to the database (by using a data export function of the software, all data in the software is exported regularly) and saving the data in the shared folder.
And a shared data checking step, which is used for checking whether the data in the shared folder has changes.
In this embodiment, by checking the updating manner of the design data, the change condition of the data stored in the shared folder can be monitored, and through the step S12, the export files in different time periods are compared, and the updated part is determined, so as to trigger the automatic data collection process.
For software with open access to a database, a data version record file is analyzed or design data updating is checked, and data change conditions in the database of the design software are checked.
The method for analyzing the data version record file comprises the following steps:
analyzing the data version record file in software with open access to a database with the data version record file, wherein the data version record file records whether the data version of the software is updated or not;
and a data version updating judgment step, which is used for judging whether data updating exists in the analyzed data version record file, if so, indicating that the data version updating exists.
Therefore, in this embodiment, the change of the data version record file can be monitored by analyzing the data version record file. When the software has data version update, the corresponding data update in the data version record file is identified by analyzing the data version record file, so that the automatic data collection action is triggered.
Wherein, the updating mode of the checking design data comprises the following steps:
a data updating and checking step, which is used for checking all data in software (such as Inpower software) with open access to a database without a data version record file;
and a data updating judging step, which is used for judging whether all the checked data have data updating.
Therefore, in this embodiment, by checking the design data update mode, the data state and modification time of the software in which the database is open without the data version record file (or the data version record file is unreadable) can be detected, and it can be determined which data or attribute needs to be updated in the database of the software. And after the updating part is determined, triggering the automatic data collection action.
Therefore, after selecting the data checking method in S11, and selecting the method for checking the shared folder for the software that does not open access to the database, as shown in fig. 3, the starting step in S12 is as follows:
s111, data derivation: exporting all data in the software which is not openly accessed by the database and storing the data in a shared folder;
s112, shared data checking: the shared folder is checked for changes, and if there is no change, the process continues to step S111, and if there is a change, the process proceeds to step S13.
After step S13, the process of automatically collecting all data in the software with the database not open to access is started.
For software that opens access to the database after the step of automatically collecting data through S1, as shown in fig. 3, the starting step of step S12 is as follows:
s121, analyzing database data: analyzing data of a database in software with open access to the database;
s122, judging whether a data version recording file exists: and judging whether the software which is accessed by the database in an open mode has a data version recording file or not according to the analyzed data of the database.
If the software which is accessed by the database in the open mode is judged to have the data version record file after the step S122, the following steps are executed:
s12211, analyzing the data version record file: analyzing the data version record file;
s12212, data version updating judgment: it is determined whether or not there is a data update in the analyzed data version record file, and if there is no update, the process proceeds to step S12211, and if there is a change, the process proceeds to step S13.
If the software which is accessed by the database in the open mode is judged to have no data version recording file after the step S122, the following steps are executed:
s12221, data updating and checking: in software with open access to a database without a data version record file, all data are checked;
s12222, data update judgment: it is determined whether or not all the data after the inspection has been updated, and if there is no data update, the process proceeds to step S12221, and if there is a change, it is also necessary to determine to which object the location of the changed data and the updated attribute belong, and to which hierarchical structure the updated model area belongs, in order to determine the range of data update, and then to perform step S13.
In step S2 and data conversion, the specific operation of automatically converting each software data after the data are automatically collected is as follows:
since there are many types of software data formats extracted, for example, a file in the format of ". vue" output by the three-dimensional software, and a file in the format of ". vue" contains three-dimensional model data, three-dimensional space data, geometric attributes, physical attributes, and material characteristics of a three-dimensional object, it is necessary to analyze each extracted software data to change the data into a data type and a data format that can be recognized by the data collection platform. It should be understood that, because data automatic collection work needs to be performed on multiple types of software, analysis after data extraction of different types of software is also one of the important links of the present invention, and is related to the subsequent data classification step and data association step.
And performing format conversion on each analyzed software data according to a required format, wherein all the converted data are stored in corresponding positions in a database of the data aggregation platform, for example, Smartplant P & id software takes an xml format file as an output file, the xml format file comprises drawing information, object attribute information, version edition information and the like, and after the xml format file is automatically extracted, the format is converted into a plurality of different types of data storage such as intelligent drawings, data, object attributes and the like in the conversion database. The Inpower software directly reads the data of the database corresponding to the corresponding software, directly couples the data to the database of the data collection platform, stores the data according to the data structure of the original software, and completes format conversion through the reading and writing functions of the database of the data collection platform.
Since the data in the different digitizing software can be stored in different formats, the data between the different digitizing software cannot be directly used, and the data needs to be converted, through the S2 and the data conversion step of the embodiment, the data in different formats can be analyzed, and then the data of the same type is converted into the same format, for example, the data related to temperature needs to be classified, and the data of the same type is the data of text type or data type related to temperature, and the data of text type needs to be uniformly converted into the data of digital type, thereby creating conditions for the data classification step and the data association step.
For S3, the specific operations of the data classification step are:
pre-establishing a preset classification rule, wherein the preset classification rule comprises a structured data rule and an unstructured data rule;
and according to a preset classification rule established in advance, labeling the acquired converted data according to different classification rules.
Specifically, the converted data is classified according to the format of the data, then the data is classified according to the structured data and the unstructured data, then the classified structured data and the unstructured data are subdivided (the subdivision principle can be classified according to the items, attributes and purposes of data attribution, such as temperature data, voltage data, electric quantity data and the like), and meanwhile, the structured data are labeled according to the pre-established structured data rule and the unstructured data rule, so that the structured data can be matched according to different application requirements, and subsequent application is facilitated.
And labeling the converted unstructured data according to the unstructured data rule. Specifically, after the converted unstructured data is classified according to different dimensions (for example, the file is classified according to the type of the file, the specialty to which the file belongs, the type of the object associated with the file, the stage of file generation, the working state of the file, and the like), the unstructured data may be attached to the corresponding data in the form of a tag.
After the labeling is carried out, different types of data are respectively encoded and stored in a database of the data aggregation platform.
Through the step of S3 and the step of data classification, the later step of S4 and the step of data association are facilitated.
For step S4, in the data association step, the specific operation of automatically associating the data of different data types is as follows:
the method comprises the steps of automatically generating corresponding association relations for different types of data through a preset logic rule (the preset logic rule is an automatic association rule), checking the association relations, and automatically updating the association relations after the data, the rule and the like are changed.
In this embodiment, the data association step is particularly important, and in the original working mode, the generation of the corresponding association relationship is determined manually, and is completed manually. The embodiment automatically generates the corresponding association relationship, so that the integrity and consistency of mass data can be maintained relatively reliably, and the generation of empty and wrong association relationships is reduced, which is difficult to realize by manual operation.
The preset logic rule in S4 and the data association step in this embodiment is to form a logic relationship of data by analyzing past engineering design experience, and form a data set having an association relationship from isolated data by using the logic relationship between data, and the formation of this relationship is also an embodiment of the existing design experience on data. S3, the data classification step is the basis of forming data association, and then the data association step is completed through S4 to form association relation for the classified data.
The main point of this embodiment is to automatically label the converted data, perform data association, and associate the structured data and the unstructured data by means of coding or the like, so as to form an interactive relationship between the data (for example, for temperature, a document related to temperature is unstructured data, and a parameter related to temperature is structured data, so where the parameter related to temperature appears in the document related to temperature, the structured data and the unstructured data need to be associated by means of coding or the like).
Since the retrieval and report generation are functions of the conventional database, they are not described herein.
In this embodiment S2 and the data conversion step, the analytic data of the same type are converted into the same format during format conversion.
In another aspect, the present invention further provides a system for automatically collecting and associating cross-platform design data, wherein the system comprises:
and the data automatic collection module is used for detecting data change of each software of the data management platform and automatically starting the data automatic collection process according to the data change condition.
And the data conversion module is used for automatically extracting each software data after the data are automatically collected and automatically converting each extracted software data according to the required data format.
And the data classification module is used for classifying the converted data and storing the classified data in a database of the data aggregation platform.
And the data association module is used for automatically associating the classified data of different data types according to a preset logic rule to form an association relation.
The data conversion module performs the following operations:
automatically extracting each software data after the data are automatically collected;
analyzing the extracted software data;
and carrying out format conversion on each analyzed software data according to a required data format, wherein the analyzed data of the same type can be converted into the same format during format conversion.
The data classification module performs the operations of:
establishing a structured data rule and an unstructured data rule;
labeling the converted data according to a structured data rule;
and attaching codes to the data subjected to the label marking, and respectively coding and storing the data into a collection database according to different data types.
The data association module performs the operations of:
the method comprises the steps of automatically generating corresponding association relations for different types of data through preset logic rules, checking the association relations, and automatically updating the association relations after the data, the rules and the like are changed.
The functions and implementation manners realized by other modules of the cross-platform design data automatic collection and association system are consistent with the functions and implementation manners of the steps in the cross-platform design data automatic collection and association method, and therefore, other details are not repeated here.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (12)
1. A method for automatically collecting and associating cross-platform design data, which is characterized by comprising the following steps:
the data automatic collection step is used for detecting data changes of all software of the data management platform and automatically starting the data automatic collection process according to the data change conditions;
a data conversion step, which is used for automatically extracting each software data after the data are automatically collected and automatically converting each extracted software data according to the required data format;
a data classification step, which is used for classifying the converted data and storing the classified data in a database of a data collection platform;
and a data association step, which is used for automatically associating the classified data of different data types according to a preset logic rule to form an association relation.
2. The method for automatically collecting and associating cross-platform design data according to claim 1, wherein in the step of automatically collecting data, the manner of detecting data changes of each software of the data management platform is as follows:
for software with a database not open to access, checking the data change condition in the database of the design software in a shared folder checking mode;
for software with open access to a database, a data version record file is analyzed or design data updating is checked, and data change conditions in the database of the design software are checked.
3. The method for automatically collecting and associating cross-platform design data according to claim 2, wherein the manner for checking the shared folder comprises:
a data export step, which is used for exporting all data in the software which is not openly accessed by the database and storing the data in a shared folder;
and a shared data checking step, which is used for checking whether the data in the shared folder has changes.
4. The method of claim 2, wherein the analyzing the data version record file comprises:
the analysis step is used for analyzing the data version record file in the software with open access to the database with the data version record file;
and a data version updating judgment step, which is used for judging whether the analyzed data version record file has data updating.
5. The method of claim 2, wherein the checking for design data updates comprises:
a data updating and checking step, which is used for checking all data in the software which has open access to the database of the non-data version record file;
and a data updating judging step, which is used for judging whether all the checked data have data updating.
6. The method for automatically collecting and associating cross-platform design data according to claim 1, wherein the data conversion step is specifically operated as follows:
automatically extracting each software data after the data are automatically collected;
analyzing the extracted software data;
and carrying out format conversion on each analyzed software data according to a required data format, wherein the analyzed data of the same type can be converted into the same format during format conversion.
7. The method for automatically collecting and associating cross-platform design data according to claim 1, wherein the data classification step specifically operates as follows:
establishing a structured data rule and an unstructured data rule;
labeling the converted data according to a structured data rule;
and attaching codes to the data subjected to the label marking, and respectively coding and storing the data into a collection database according to different data types.
8. The method for automatically collecting and associating cross-platform design data according to claim 1, wherein the data association step is specifically operated as follows:
and through the preset logic rules, the corresponding association relations of the different types of data are automatically generated, the association relations are checked, and the association relations can be automatically updated after the data and the rules are changed.
9. A system for automatically aggregating and correlating cross-platform design data, the system comprising:
the data automatic collection module is used for detecting data change of each software of the data management platform and automatically starting the data automatic collection process according to the data change condition;
the data conversion module is used for automatically extracting each software data after the data are automatically collected and automatically converting each extracted software data according to a required data format;
the data classification module is used for classifying the converted data and storing the classified data in a database of the data aggregation platform;
and the data association module is used for automatically associating the classified data of different data types according to a preset logic rule to form an association relation.
10. The system for automatically aggregating and associating cross-platform design data according to claim 9, wherein the data transformation module is operative to:
automatically extracting each software data after the data are automatically collected;
analyzing the extracted software data;
and carrying out format conversion on each analyzed software data according to a required data format, wherein the analyzed data of the same type can be converted into the same format during format conversion.
11. The system for automatically aggregating and associating cross-platform design data according to claim 9, wherein the data classification module performs operations of:
establishing a structured data rule and an unstructured data rule;
labeling the converted data according to a structured data rule;
and attaching codes to the data subjected to the label marking, and respectively coding and storing the data into a collection database according to different data types.
12. The system for automatically aggregating and associating cross-platform design data according to claim 9, wherein the data association module performs operations of:
the method comprises the steps of automatically generating corresponding association relations for different types of data through preset logic rules, checking the association relations, and automatically updating the association relations after the data, the rules and the like are changed.
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