CN115712842A - BIM and business system association method and system based on fuzzy matching - Google Patents
BIM and business system association method and system based on fuzzy matching Download PDFInfo
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Abstract
The invention belongs to the technical field of engineering management, and particularly discloses a BIM and business system association method and system based on fuzzy matching. The association method of the invention comprises the following steps: (1) Acquiring EBS node attribute data from the BIM, and performing data cleaning and labeling to obtain an EBS data label; (2) Meanwhile, WBS engineering division data is obtained from a service system, and data cleaning and labeling are carried out to obtain a WBS data label; (3) And calculating the similarity of the EBS data label and the WBS data label by a similarity calculation method, and automatically establishing and storing an association matching relationship when the similarity of the EBS data label and the WBS data label reaches a preset threshold value. By the method, the BIM model and the business system can be automatically and effectively associated, the association accuracy reaches 99%, the association efficiency is obviously improved, and the data back-check efficiency is obviously improved.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of engineering management, in particular to a BIM and business system association method and system based on fuzzy matching.
[ background ] A method for producing a semiconductor device
With the development of engineering management technology, a BIM (building information model) technology appears, which can be used as a carrier for integrating information sets of all stages of a building life cycle and plays a role in information integration and management. Therefore, the BIM model can be used as an information carrier and a visual display tool of a construction plan to provide guidance for all participants of a project. The construction plan of a complete project relates to various specialties, for example, the BIM model of a subway station project contains millions of components, the task context is complicated, the critical construction work and important lines are difficult to clearly reflect, and the task target in the construction process is not clear so that the construction progress is influenced.
A business system, namely a WBS (work breakdown structure) divides a project into tasks according to a certain principle, and then divides the tasks into various tasks, and then distributes the various tasks to daily tasks of each person.
The BIM model is associated with the WBS task, so that a unified information model facing to construction plan management can be formed, and further visual guidance and information management are provided for construction progress. At present, the association between the BIM and the business system is performed manually by the staff, and the association method has the following defects:
1. the association depends excessively on the unified structure tree of the business system, but most business systems do not have the structure tree at present;
2. the correlation matching degree is not high, and if the business system structure tree is changed, the correlation is easy to cause correlation failure, and the correlation is not flexible;
3. the intercommunication effect of the associated data is poor, and the mapping reverse check of the structure tree is difficult.
[ summary of the invention ]
The invention aims to: aiming at the existing problems, a BIM and business system association method and system based on fuzzy matching are provided. The method can automatically and effectively correlate the BIM model with the service system, the correlation accuracy reaches 99%, the correlation efficiency is obviously improved, and the data back-check efficiency is obviously improved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a BIM and business system association method based on fuzzy matching comprises the following steps:
(1) Acquiring EBS node attribute data from the BIM, and performing data cleaning and labeling to obtain an EBS data label;
(2) Meanwhile, WBS engineering division data is obtained from a business system, and data cleaning and labeling are carried out to obtain a WBS data label;
(3) And calculating the similarity of the EBS data label and the WBS data label by a similarity calculation method, and automatically establishing and storing an association matching relationship when the similarity of the EBS data label and the WBS data label reaches a set threshold value.
Further, in the step (1), the method for data washing and labeling comprises the following steps: and the EBS node attribute data is subjected to data processing through BIM attribute information appointed by a standard engineering project, irrelevant data is cleaned, and labeled storage is established for the cleaned key data.
Further, in the step (2), the method for data washing and labeling comprises the following steps: and the WBS engineering division data is subjected to data processing according to the engineering division standard of the standard engineering project, irrelevant data is cleaned, and labeled storage is established for the cleaned key data.
Further, in the step (3), the similarity algorithm is a semantic similarity algorithm, a word library label segmentation algorithm, a word forest coding method and/or a word similarity algorithm.
Further, in the step (3), the set threshold is 80%.
Further, in step (3), the similarity is displayed according to a value from high to low, and when the similarity of the EBS data tag and the WBS data tag is lower than a set threshold, an association match may be manually established and stored.
The invention also provides a BIM and service system association system based on fuzzy matching, which comprises:
the EBS data extraction module is used for acquiring EBS node attribute data from the BIM model, and cleaning and labeling the data;
the EBS database module is used for storing EBS data labels obtained after the EBS data labels are cleaned and labeled by the EBS data extraction module;
the WBS data extraction module is used for acquiring WBS engineering division data from the business system and performing data cleaning and labeling;
the WBS database module is used for storing WBS data tags obtained after cleaning and tagging by the WBS data extraction module;
the similarity calculation module is used for calculating the similarity of the EBS data label and the WBS data label based on a similarity calculation method and displaying the calculated similarity from high to low; meanwhile, whether the calculated similarity reaches a set threshold value is judged, when the similarity of the EBS data tag and the WBS data tag reaches a preset threshold value, an association matching relationship is automatically established, and when the similarity of the EBS data tag and the WBS data tag is lower than the preset threshold value, the association matching relationship can be manually established;
and the matching relation database module is used for storing the EBS data label and the WBS data label which establish the association matching relation.
Furthermore, the matching relation database module establishes persistence of the association matching relation between the EBS data tag and the WBS data tag through an intermediate table, and improves the reading performance of the association matching relation through a cache middleware.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
according to the invention, EBS node attribute data in a BIM model and WBS data in a service system are extracted, and the data are cleaned and labeled according to the same standard, so that the obtained EBS data label and WBS data label accord with the same division/naming standard, then semantic splitting is carried out through an algorithm, the similarity of the two labels is calculated according to the meaning or content similarity, the label with the similarity reaching a set threshold value can be automatically mapped and associated so as to be automatically matched, and the labels can be displayed according to the relevance percentage of the data labels from high to low, and some EBS and WBS which are not associated can be manually associated. And the system default automatic association of the EBS and the WBS which are already established with each other, the BIM system and the service system can directly carry out data intercommunication and thing initiation through the system default association relationship, and when the data of the service system is changed, the matching system can carry out association docking once again. In conclusion, compared with the traditional association method, the fuzzy matching method provided by the invention has the advantages that the association accuracy and the association efficiency are obviously improved, the accuracy reaches 99%, the efficiency is improved by one time, and meanwhile, the data back-checking efficiency is high.
[ description of the drawings ]
Fig. 1 is a general framework diagram of a method for associating a BIM with a service system based on fuzzy matching according to the present invention.
FIG. 2 is a correlation matching flow chart of a BIM and business system correlation method based on fuzzy matching according to the present invention.
FIG. 3 is a block diagram of a BIM and business system association system based on fuzzy matching according to the present invention.
[ detailed description ] embodiments
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are given in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof. Also, as used in this specification, the term "and/or" includes any and all combinations of the associated listed items.
The Work Breakdown Structure (WBS) is a work level breakdown that is directed at project deliverables and is the basis of project planning, implementation, and control. The WBS is an important basis for making a progress plan, a resource supply plan, a purchasing plan and controlling project change, and can effectively improve the project management level. The traditional decomposition method of the WBS task mainly includes: decomposition by project implementation process, decomposition by plane or spatial position, decomposition by function, decomposition by professional factor, decomposition by human resource, decomposition by resource consumption, etc. The decomposition result of the WBS task should include all the work required for the entity to complete. Considering the requirement of schedule planning, in the decomposition process, according to the structural form of the construction project subsection (sub-subsection) project and project subsection project, the WBS task is decomposed in a comprehensive decomposition mode according to the working position, the specialty and the construction process, the upper layer is decomposed according to the working flow, and the lower layer is decomposed according to the working content.
The WBS task decomposition method is a project plan which is formed by decomposing a plurality of project projects (processes) in accordance with a construction sequence, and inverting the project plan in accordance with a node construction period plan in accordance with a logical relationship between the front and rear of the processes until the project plan cannot be decomposed again.
The BIM model is a building information model, is an engineering data model integrating various related information of a construction engineering project based on a three-dimensional digital technology, and is a digital expression of the entity and the functional characteristics of engineering project facilities.
The BIM model is associated with the WBS task, so that a unified information model facing to construction plan management can be formed, and further visual guidance and information management are provided for construction progress. At present, the traditional association method excessively depends on a unified structure tree of a business system, but most of the business systems do not have the structure tree at present; meanwhile, the correlation matching degree is not high, and if the business system structure tree is changed, the correlation is easy to cause correlation failure, and the correlation is not flexible; in addition, the intercommunication effect of the associated data is poor, the reverse check of the structure tree mapping is difficult, and the accuracy and the timeliness of information matching cannot be ensured.
In order to solve the problems, the invention provides a BIM and business system association method based on fuzzy matching.
Referring to fig. 1-2, in an embodiment of the present invention, a method for associating a BIM with a business system based on fuzzy matching includes the following steps:
(1) Acquiring EBS node attribute data from the BIM, and performing data cleaning and labeling to obtain an EBS data label;
specifically, when the BIM model is modeled, data information such as project names, mileage stake numbers, left and right frames, upper and lower structures, branch item names and the like needs to be added, and when the EBS information is obtained from the BIM model, node attribute data information under the EBS is obtained together to be used as one party of associated data;
(2) Meanwhile, WBS engineering division data is obtained from a business system, and data cleaning and labeling are carried out to obtain a WBS data label;
specifically, WBS engineering division data is obtained from a business system through an interface, and each piece of WBS engineering division data needs to be accompanied by data information similar to EBS and serves as the other side of the associated data;
the data cleaning and labeling of the EBS node attribute data and the WBS engineering partition data specifically includes: the data are defined according to the relevant standard appointed by 'division of unit, division and project division' in 'first civil engineering work (JTGF 80-1-2017)' in Highway engineering quality inspection assessment standard, and after irrelevant data are cleaned, the remaining critical data are subjected to tagged storage.
(3) Calculating the similarity of the EBS data label and the WBS data label by a similarity calculation method, and automatically establishing and storing an association matching relationship when the similarity of the EBS data label and the WBS data label reaches a set threshold value;
specifically, the similarity algorithm is a semantic similarity algorithm, a thesaurus label segmentation algorithm, a wordline coding method and/or a word similarity algorithm, and the similarity is calculated according to the meaning or content similarity of the two-party data labels by performing semantic splitting on the european EBS data label and the WBS data label. In this embodiment, the set threshold is 80%, the value is obtained through a data matching result, and the matching result of the data tags on the two sides is good in effect, close in accuracy and in line with the service requirement under the value of 80%.
Meanwhile, the similarity algorithm can be corrected and optimized by establishing a synonym word bank related to the service, so that the quality of a matching result is further improved.
In another preferred embodiment, in step (3), after the similarity between the EBS data tag and the WBS data tag is calculated by a similarity calculation method, the similarity of the data tags is displayed from high to low according to a numerical value, and for the data tags with the similarity lower than a set threshold of 80%, an association matching relationship can be manually established and stored according to actual needs.
In the invention, the EBS data and the WBS data which are matched in association are established, the system defaults to be automatically associated, the BIM system and the service system can directly carry out data intercommunication and event initiation through the default association relationship of the system, and when the data of the service system is changed, the system can carry out association docking once again.
Referring to fig. 3, the present invention further provides a system for associating BIM with a business system based on fuzzy matching, where the system includes:
the EBS data extraction module is used for acquiring EBS node attribute data from the BIM model, and cleaning and labeling the data;
the EBS database module is used for storing EBS data labels obtained after the EBS data labels are cleaned and labeled by the EBS data extraction module;
the WBS data extraction module is used for acquiring WBS engineering division data from the business system through the interface, and performing data cleaning and labeling;
the WBS database module is used for storing WBS data tags obtained after cleaning and tagging by the WBS data extraction module;
the similarity calculation module is used for calculating the similarity of the EBS data label and the WBS data label based on a similarity calculation method and displaying the calculated similarity from high to low; meanwhile, whether the calculated similarity reaches a set threshold value is judged, when the similarity of the EBS data tag and the WBS data tag reaches a preset threshold value, an association matching relationship is automatically established, and when the similarity of the EBS data tag and the WBS data tag is lower than the preset threshold value, the association matching relationship can be manually established;
and the matching relation database module is used for storing the EBS data label and the WBS data label which establish the association matching relation. Specifically, the matching relationship database module establishes persistence of the association matching relationship between the EBS data tag and the WBS data tag through an intermediate table, and improves reading performance of the association matching relationship through a cache middleware.
For the specific definition of the BIM and business system association system, reference may be made to the above definition of the BIM and business system association method, which is not described herein again. The various modules in the BIM and business system association system may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.
The above description is intended to describe in detail the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the claims of the present invention, and all equivalent changes and modifications made within the technical spirit of the present invention should fall within the scope of the claims of the present invention.
Claims (8)
1. A BIM and business system association method based on fuzzy matching is characterized by comprising the following steps:
(1) Acquiring EBS node attribute data from the BIM, and performing data cleaning and labeling to obtain an EBS data label;
(2) Meanwhile, WBS engineering division data is obtained from a business system, and data cleaning and labeling are carried out to obtain a WBS data label;
(3) And calculating the similarity of the EBS data tag and the WBS data tag by a similarity calculation method, and automatically establishing and storing an association matching relationship when the similarity of the EBS data tag and the WBS data tag reaches a set threshold value.
2. The BIM and business system association method based on fuzzy matching as claimed in claim 1, wherein in step (1), the data washing and labeling method is: and the EBS node attribute data is subjected to data processing through BIM attribute information appointed by a standard engineering project, irrelevant data is cleaned, and labeled storage is established for the cleaned key data.
3. The BIM and business system association method based on fuzzy matching as claimed in claim 1, wherein: in the step (2), the data cleaning and labeling method comprises the following steps: and the WBS engineering division data is subjected to data processing according to the engineering division standard of the standard engineering project, irrelevant data is cleaned, and labeled storage is established for the cleaned key data.
4. The BIM and business system association method based on fuzzy matching as claimed in claim 1, wherein in step (3), said similarity algorithm is semantic similarity algorithm, thesaurus label segmentation algorithm, lexical coding and/or word similarity algorithm.
5. The BIM and business system association method based on fuzzy matching of claim 1, wherein in step (3), the threshold is set to 80%.
6. The BIM and business system association method based on fuzzy matching as claimed in claim 1, wherein: in the step (3), the similarity is displayed according to a numerical value from high to low, and when the similarity of the EBS data tag and the WBS data tag is lower than a set threshold, an association match can be manually established and stored.
7. A BIM and business system association system based on fuzzy matching, characterized in that the system comprises:
the EBS data extraction module is used for acquiring EBS node attribute data from the BIM, and cleaning and labeling the data;
the EBS database module is used for storing EBS data labels obtained after the EBS data labels are cleaned and labeled by the EBS data extraction module;
the WBS data extraction module is used for acquiring WBS engineering division data from the business system and performing data cleaning and labeling;
the WBS database module is used for storing WBS data tags obtained after cleaning and tagging by the WBS data extraction module;
the similarity calculation module is used for calculating the similarity of the EBS data label and the WBS data label based on a similarity algorithm and displaying the calculated similarity from high to low according to numerical values; meanwhile, whether the calculated similarity reaches a set threshold value is judged, when the similarity of the EBS data tag and the WBS data tag reaches a preset threshold value, an association matching relationship is automatically established, and when the similarity of the EBS data tag and the WBS data tag is lower than the preset threshold value, the association matching relationship can be manually established;
and the matching relation database module is used for storing the EBS data label and the WBS data label which establish the association matching relation.
8. The BIM and business system association system based on fuzzy matching of claim 7, wherein the match relationship database module establishes persistence of the EBS data tag and WBS data tag association match relationship through an intermediate table and improves reading performance of the association match relationship through caching middleware.
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| CN117035694A (en) * | 2023-10-08 | 2023-11-10 | 深圳市辰普森信息科技有限公司 | BIM system management method and device and computer equipment |
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| CN117035694A (en) * | 2023-10-08 | 2023-11-10 | 深圳市辰普森信息科技有限公司 | BIM system management method and device and computer equipment |
| CN117035694B (en) * | 2023-10-08 | 2024-01-26 | 深圳市辰普森信息科技有限公司 | BIM system management method and device and computer equipment |
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