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BIM and GIS ontology fusion method and system based on SWRL rule

A fusion method, ontology technology, applied in character and pattern recognition, text database clustering/classification, unstructured text data retrieval, etc. problem, to achieve the effect of solving the mismatch of semantic information and solving the loss of semantics

Active Publication Date: 2022-01-28
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (1) The GIS data format after data format conversion does not have semantic information, cannot express the relationship between buildings, does not have a multi-level of detail expression form, and cannot be used for data sharing in multiple fields
[0008] (2) Standard extension According to specific research fields, some information in the BIM model is selected for research, without detailed discussion of building components, it is difficult to achieve a complete mapping
But its invention does not specifically describe what the mapping rules and conversion rules are
Although the invention proposes to use the ontology, it does not use the ontology files of the IFC and CityGML standards
And no swrl rules are used, only manual mapping, automatic conversion cannot be realized, manual mapping takes a lot of time, and the practicability is poor
[0010] Chinese invention patent (application number: 201910299613, patent name: a method for automatically extracting a multi-level-of-detail GIS surface model from a BIM solid model), although it mentions the CityGML model that maps the five layers of LOD0-LOD4 respectively, its invention is in the transformation The model is realized through the four aspects of IFC model analysis and IFC model filtering based on semantic mapping relationship. However, this invention is directly based on the two formats of IFC and CityGML, and the direct conversion will be caused by some information unequals, mismatches and other issues. Cause loss of data or information, ultimately resulting in incomplete conversion results

Method used

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  • BIM and GIS ontology fusion method and system based on SWRL rule
  • BIM and GIS ontology fusion method and system based on SWRL rule
  • BIM and GIS ontology fusion method and system based on SWRL rule

Examples

Experimental program
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Effect test

Embodiment 1

[0051] This embodiment provides a BIM and GIS ontology fusion method based on SWRL rules;

[0052] BIM and GIS ontology fusion method based on SWRL rules, including:

[0053] S101: Analyze the building information model BIM to obtain entity categories and entity attributes; wherein, entity attributes include: entity relationship attributes and entity data attributes;

[0054] S102: Convert the analyzed entity category and entity attribute to obtain the entity category and entity attribute corresponding to the geographic information system GIS;

[0055] S103: storing entity categories and entity attributes;

[0056] S104: Based on the stored entity categories and entity attributes, determine data corresponding to each level in the geographic information system (GIS).

[0057] Further, said S101: analyze the building information model BIM to obtain entity categories and entity attributes; specifically include:

[0058] Using the IfcOpenShell interface in Python, the building ...

example

[0224] Step 1: First create a building in IFC format through Revit, and export the IFC file, where the version of IFC is: IFC IFC4 reference view, the model is as follows figure 1 , the floor plan is as figure 2 .

[0225] Revit is an international 3D modeling software developed by Autodesk, and it is currently the most mainstream BIM software. Its main function is the design of the exterior and interior of the building or the planning of the equipment, so that the exterior and interior of the building can be viewed from multiple angles. In order to achieve the integration of BIM technology and GIS technology, it is first necessary to carry out 3D modeling through Revit software, and use the 3D model data as the basic data. The steps are as follows: (1) select the building model; (2) establish the elevation; (3) establish the grid (4) Establish various components such as doors, windows, curtain walls, stairs, roofs, terrains and sites; (5) Model checking, exporting other fo...

Embodiment 2

[0234] This embodiment provides a BIM and GIS ontology fusion system based on SWRL rules;

[0235] BIM and GIS ontology fusion system based on SWRL rules, including:

[0236] The analysis module is configured to: analyze the building information model BIM to obtain entity categories and entity attributes; wherein, the entity attributes include: entity relationship attributes and entity data attributes;

[0237] A conversion module, which is configured to: convert the parsed entity category and entity attribute to obtain the entity category and entity attribute corresponding to the geographic information system GIS;

[0238] a storage module configured to: store entity categories and entity attributes;

[0239] An output module configured to: determine the data corresponding to each level in the geographic information system (GIS) based on the stored entity category and entity attribute.

[0240] The functional details corresponding to each step in Embodiment 2 are consistent...

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PUM

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Abstract

The invention relates to the technical field of image data processing, and discloses a BIM and GIS ontology fusion method and system based on an SWRL rule. The method comprises the steps: carrying out the analysis of a building information model BIM, and obtaining an entity type and an entity attribute, wherein the entity attributes comprise entity relationship attributes and entity data attributes; converting the entity category and the entity attribute obtained by analysis to obtain the entity category and the entity attribute corresponding to a geographic information system (GIS); storing the entity category and the entity attribute; and determining data corresponding to each level in a geographic information system (GIS) based on the stored entity categories and entity attributes. A semantic matching and geometric reconstruction combined method is adopted in an ontology layer, semantic matching is adopted for entity correspondence and partial attribute correspondence under the IFC and CityGML standards, a geometric reconstruction method is adopted for attributes such as coordinate conversion, and conversion from the IFC to the CityGML is automatically completed.

Description

technical field [0001] The invention relates to the technical field of image data processing, in particular to a BIM and GIS ontology fusion method and system based on SWRL rules. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] Against the background of the rapid development of information technology, issues such as how to innovatively apply the new generation of information technology to optimize the urban structure, optimization and renewal of the smart city construction as the core have attracted widespread attention. From a digital city to a smart city is a more refined process of urban management. Only using the building information model BIM will lack the data information on the geographic coordinates, and if only using the geographic information system GIS, the structural composition of each entity in the building cannot be ...

Claims

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Application Information

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IPC IPC(8): G06F40/30G06F40/295G06F30/13G06F16/35G06F16/29G06K9/62
CPCG06F40/30G06F30/13G06F16/29G06F40/295G06F16/35G06F18/25
Inventor 胡瑛婷石玉王铭浩
Owner SHANDONG NORMAL UNIV