Automatic generation method of girder bridge girder disease expansion diagram

Abstract

The invention discloses an automatic generation method of a girder bridge girder defect expansion diagram, which comprises the following steps that a component surface coordinate system standard is established, and a default coordinate system and an original point position of a girder component are set; control point coordinate calculation in a content default coordinate system is uniformly described according to a disease position description standard; an on-site collection APP is developed according to disease position description standards, faces a MongoDB database, and stores OSS communication data for an object; the MongoDB database stores basic information and other data of the bridge; the object storage OSS stores the generated expansion drawing and provides a link to facilitate retrieval; a Web client accesses and edits a MongoDB database, inputs information required by bridge disease investigation, assigns a detection task, and automatically generates a disease development diagram. On the basis of a component surface coordinate system standard and a disease position description standard, a Web client and an on-site collection APP are developed on the basis of a MongoDB database and an object storage OSS, automatic generation of the disease expansion graph is achieved, and the problems of secondary data input, large workload of manual drawing and high error rate are solved.

Description

technical field [0001] The invention belongs to the technical field of bridge engineering, and in particular relates to a method for automatically generating a disease development diagram of a main girder of a girder bridge. Background technique [0002] The expansion diagram of beam bridge damage is used to show the distribution of different types of damage in the components, as well as the approximate size of the damage. Generally, it is manually drawn in AutoCAD software based on the damage pictures taken on site, and the data is entered twice, and the workload is heavy and cumbersome. , with a high probability of error. [0003] The realization of bridge disease information collection technology realizes the direct upload of disease on-site collection, and the automatic generation of inspection reports after database analysis and processing, but the information entered in the conventional on-site collection program can only realize that the disease information can be lis...

AI Technical Summary

Problems solved by technology

[0002] The expansion diagram of beam bridge damage is used to show the distribution of different types of damage in the components, as well as the approximate size of the damage. Generally, it is manually drawn in AutoCAD software based on the damage pictures taken on site, and the data is entered twice, and the workload is heavy and cumbersome. , a high probability of error

[0003] The realization of bridge disease information collection technology realizes the direct upload of disease on-site collection, and the automatic generation of inspection reports after database analysis and processing, but the information entered in the conventional on-site collection program can only realize that the disease information can be listed one by one in the report in tables or other fixed forms , not enough to support the automatic generation of disease expansion diagram

In addition, some applications support manual insertion of disease and its characteristic information in the form of lines and planes in specific bridge structure expansion diagrams and then display them in the inspection report. However, the drawing of disease schematic diagrams still relies on manual labor, although the drawing speed is greatly improved compared with traditional methods. However, it still cannot be automated by relying on manual drawing, and the relative relationship of disease size is wrong

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