Weld joint three-dimensional visual modeling method based on big data analysis

Abstract

The invention belongs to the technical field of weld pipelines, and particularly relates to a weld three-dimensional visual modeling method based on big data analysis. Comprising the following steps: step 1, building a pipeline plane; step 2, carrying out 3DMAX data modeling; 3, UNITY3D manufacturing is carried out; step 4, determining to publish WEBGL; and 5, carrying out three-dimensional visual analysis. The method has the advantages that data display is flexible, the Linear Regression algorithm and the PageRank algorithm are combined for extraction, display and analysis, all the three-dimensional models can serve as carriers of big data analysis, and data circulation, display and analysis are conducted by achieving big data analysis in the three-dimensional models; 2) the expansibility of the three-dimensional model is realized, and the design mode is beneficial to the expansion of the platform model; and for newly added welding seams in the later-period service inspection process, valve management and the like which are newly added according to other requirements can be integrated in a plug-pull mode on the basis of an original model, and the subsequent development cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of weld pipelines, and in particular relates to a three-dimensional visualization modeling method of welds based on big data analysis. Background Art

[0002] Since the pipelines and their welds in nuclear power plants are one of the important pressure boundaries of the power plants, the information on these pipelines and their welds is currently scattered and distributed in different technical documents such as design documents, change documents, maintenance documents, and in-service inspection documents. A unified visual management platform has not been formed. In the collection, transmission, analysis, and utilization of relevant information, there are problems such as accuracy, timeliness, completeness, intuitiveness, convenience, and low efficiency that need to be improved urgently. Summary of the invention

[0003] The purpose of the present invention is to provide a three-dimensional visualization modeling method for welds based on big data analysis. By querying data in a weld model, basic information can be intuitively obtained; by querying 720-degree panoramic images in different virtual rooms, the real environment around a weld can be intuitively viewed; based on big data data services, any single weld can be queried in a three-dimensional model to display basic weld data, work order data, status reports, etc., thereby improving retrieval effects; through file queries, isometric drawings, flow charts, completion drawings, and historical reports related to weld data can be displayed.

[0004] The technical solution of the present invention is as follows: A three-dimensional visualization modeling method of welds based on big data analysis, comprising the following steps:

[0005] Step 1: Build the pipeline plane;

[0006] Step 2: 3DMAX data modeling;

[0007] Step 3: UNITY3D production;

[0008] Step 4: Confirm to publish WEBGL;

[0009] Step 5: 3D visualization analysis.

[0010] The step 1 includes using the collected weld-related data, including various types of weld attribute parameters, weld overhaul documents, and as-built materials, to convert the weld data into a graph structure, in which welds are represented as nodes and different relationships are represented as edges, to construct a network model of the weld data.

[0011] In the step 1, the nodes connected by the edges are assigned corresponding weights according to their importance, and the importance score of each node is calculated using the PageRank algorithm. Multiple iterations are performed, and finally the important and critical welds in the weld data are determined based on the PageRank scores of the nodes.

[0012] The step 2 is based on the pipeline obtained from the pipeline isometric drawing and the weld information obtained in step 1, and the model is drawn through 3DMAX. The max pipe sections are spliced ​​according to the drawings, and the node positions are reserved for each opening and distinguished and named.

[0013] The step 3 described is to create relevant teaching experimental equipment and instruments through 3DMAX modeling, make relevant animations, and then output the file in FBX format, import it into the unity3d editor for integration and positioning, and finally enter interactive programming.

[0014] The step 5 comprises:

[0015] Step 51: Design direction;

[0016] Step 52: Design of three-dimensional display platform;

[0017] Step 53: Weld data modeling and design.

[0018] The step 51 includes the interaction and query of weld big data using GBASE8a storage, compression and intelligent indexing; the weld data including related isometric drawings, flow charts, completion drawings, historical reports, and on-site photos are uniformly associated with the three-dimensional model points one-to-one, so that all relevant information can be brought out together with one query condition.

[0019] The step 52 includes realizing management among all systems of the whole plant, realizing basic operations of the three-dimensional model, and meeting the hiding and displaying of objects with different requirements; the types of pipelines and welds are distinguished by different colors and logos in the three-dimensional design.

[0020] The step 53 includes constructing the pipeline weld information data by connecting multiple data platforms in series, integrating the SAPHAHA big data platform, the document management system platform and its own three-dimensional virtual simulation data, constructing the pipeline weld data model, and then performing HANA modeling according to actual business, storing MYSQL data tables on the ground, and establishing a weld visualization management system model table.

[0021] The beneficial effects of the present invention are:

[0022] 1) Flexibility in data display

[0023] The Linear Regression algorithm is combined with the PageRank algorithm for extraction, display and analysis. All three-dimensional models can be used as carriers of big data analysis. By implementing big data analysis in three-dimensional models, data circulation, display and analysis can be carried out.

[0024] 2) 3D model scalability

[0025] This design method is conducive to the expansion of the platform model. For the newly added welds in the later service inspection process, including the newly added valve management due to other requirements, they can be plugged in based on the original model, reducing the subsequent development costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A flow chart of a weld 3D visualization modeling method based on big data analysis provided by the present invention;

[0027] Figure 2 This is a schematic diagram of the 3D modeling principle;

[0028] Figure 3 This is a schematic diagram of data information interaction. DETAILED DESCRIPTION

[0029] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] A three-dimensional visualization modeling method for welds based on big data analysis uses big data analysis technology combined with three-dimensional visualization modeling to comprehensively analyze and display weld data. First, data query is performed in the weld model to intuitively obtain basic information; second, 720-degree panoramic images are queried in different virtual rooms to achieve an intuitive view of the real environment around a weld; at the same time, based on the data service of big data, any single weld is queried, and basic weld data, work order data, status reports, etc. are displayed in the three-dimensional model to improve the retrieval effect; finally, isometric drawings, flow charts, completion drawings, and historical reports related to weld data are displayed through file query, thereby presenting weld information in an all-round way and optimizing welding process management and quality control.

[0031] The entire system pipeline is divided into sections, and the initial modeling is carried out in the 3DSMAX tool to realize the later pipe splicing and plug-in use. In 3DSMAX, according to the pipeline drawings, the several major types appearing in the drawings are classified by different colors, and modeling is carried out with the XYZ axis to realize point-to-point and pipe segment-to-pipe segment plug-in.

[0032] Standardized design, first: formulate a complete classification of pipelines, including shape, name, etc., organize them by major categories, and form a unified standard. Second, classify them according to the design drawings, first make a single pipeline model, and then perform the combination operation.

[0033] The model is unified and spliced ​​to form a whole. The connection parts are automatically closed or hidden during use. During maintenance, you can click on any pipe to replace it. When supplementing the content on the same pipe segment, you can add it on the original basis. When adding a new pipe segment, you can lengthen the model or "pull out" the pipe segment in the wrong position. The new model can be directly "inserted" after it is completed.

[0034] According to the Linear Regression algorithm and PageRank algorithm, the three-dimensional model is connected to the big data platform to extract data. All three-dimensional models can be used as carriers of big data analysis. By implementing big data analysis in the three-dimensional model, data circulation, display and analysis can be carried out.

[0035] 1. Use the Linear Regression algorithm to extract various data objects about welds from the big data platform, automatically remind deviation data, automatically add new weld data, and realize data extraction and circulation.

[0036] 2 Use the PageRank algorithm to design the weld data information association map, and display and analyze the weld data in the big data platform in a three-dimensional model.

[0037] 3. Through the plug-in modeling method, plug-ins, modules, extensions, etc. can be freely added, uninstalled and updated. The pipelines that can be made by multiple people can be spliced ​​by one person, which greatly improves efficiency and reduces operation and maintenance costs.

[0038] A weld three-dimensional visualization modeling method based on big data analysis includes the following steps:

[0039] Step 1: Pipeline plane construction

[0040] The pipeline isometric drawing is also called the pipe section drawing or the empty view. It is a type of three-dimensional drawing used for industrial pipelines and equipment. The drawing fully depicts the specific placement of pipe fittings, welds, valves, etc. in the plane design. In the early stage of design, before switching to 3DMAX model building, the pipeline isometric drawings are sorted out, the pipeline routing, the upper and lower structures of the plant are designed and analyzed, and the plane data is converted. (Including layer height data information, spacing and size one-to-one), specifically including the following:

[0041] Weld data conversion uses the collected weld-related data, including various types of weld attribute parameters, weld overhaul documents, as-built materials and other information. The weld data is converted into a graph structure, where welds can be represented as nodes, and different relationships (such as adjacent welds, similarity, etc.) can be represented as edges, to build a network model of weld data. At the same time, for the nodes connected by the edges, corresponding weights can be assigned according to their importance. The PageRank algorithm is used to calculate the importance score of each node, and multiple iterations are performed. Finally, the important and critical welds in the weld data can be determined based on the PageRank score of the node, which helps adjust and optimize the welding process. Its LinearRegression algorithm verifies its results.

[0042] Step 2: 3DMAX data modeling

[0043] Based on the pipeline obtained from the pipeline isometric drawing and the weld information obtained in step 1, the model is drawn through 3DMAX. The pipe segments of MAX are spliced ​​according to the drawings, and the node positions of each opening are reserved and named separately. The replaceability, controllability and flexibility of the pipe where each weld is located are guaranteed.

[0044] Creating pipe sections and paths Use the Spline tool to draw cross-sections (such as circles) and paths for pipes.

[0045] Creating Pipes Using Lofting Edit Poly Modifier Create pipeline interface details Use the Inset command to add detail at the pipe joint, such as the thickness of the pipe. Use the Extrude command again, this time with a negative value, to extrude inward to create the inner edge of the pipe.

[0046] Making Hard Edges Delete end faces and smooth Special pipeline modeling For curved pipes, you can use the Bend modifier to adjust the curvature of the pipe. Select the Bend modifier in the Modify panel and set the bend angle and axis to achieve the desired bending effect.

[0054] By following these steps, a detailed and realistic piping model can be created in 3ds Max, with all the individual pipe segments correctly stitched together to form a continuous pipe network.

[0055] Step 3: UNITY3D production

[0056] Through 3DMAX modeling, create relevant teaching experimental equipment and instruments, make relevant animations, and then output files in FBX format, import them into the unity3d editor for integration and positioning, and finally enter interactive programming. Through in-depth analysis and research on the architecture and working principle of the unity3d engine, realize the virtual simulation of the welding plant structure, spatial mimetic design, and realize the three-dimensional display and animation preview of the plant. Secondly, analyze and study the "communication" mechanism of unity3d and page information data to integrate data with space.

[0057] Step 4: Confirm to publish WEBGL

[0058] With the introduction of WEBGL, the model can be embedded in the WEB page, which greatly increases the user interactivity. After releasing WEBGL, VUE uses components to render the page.

[0059] In the BuildSettings under File, select the scene you want to publish.

[0060] Click Player'Settings to modify the relevant configuration of the package, such as name, resolution and other parameters.

[0061] Click Build, select the location to publish, and click Select Folder to start packaging and publishing.

[0062] After publishing, you will get the WEBGL file, which will be loaded and rendered using the WEB component.

[0063] Step 5: 3D visualization analysis

[0064] According to the management requirements of the Qinshan Nuclear Power Plant's commissioning inspection welds, the refined management of weld data was improved. Through data analysis and on-site field surveys, existing problems were identified, and a multifunctional weld digital management platform was developed. A single platform was used to realize the association between virtual three-dimensional visualization models and attribute objects, thereby reducing on-site elimination work, thereby reducing radiation doses, improving overall work efficiency, and truly realizing a new management model of low contact and low query.

[0065] Step 51: Design Direction

[0066] Weld big data interaction and query use GBASE8a storage, compression and intelligent indexing, combined with full-text indexing technology, to work together for retrieval.

[0067] Basic concept: The way of dividing a sequence of values ​​into separate words is called word segmentation. Natural word segmentation is to use certain identifiers as natural delimiters between words. The "3" in the ternary word segmentation means that when there are more than 3 consecutive English or numbers, they are segmented into groups of 3. If the original data is segmented normally, it is directly stored as a KEY in the index. Chinese is usually segmented by single words. For English and numbers, natural word segmentation and ternary word segmentation are used throughout the text.

[0068] Refined design and analysis of weld data

[0069] The refined management of data will unify the weld data including related isometric drawings, flow charts, completion drawings, historical reports, on-site photos, etc. and make a one-to-one association with the 3D model points (welds). This will achieve the effect of bringing out all relevant information with one query condition, thus minimizing the query cost. At the same time, it will integrate with the virtual 3D model to the greatest extent and interact with the data, forming a two-way "transmission" between the data and the 3D model.

[0070] Step 52: 3D display platform design

[0071] It realizes the management among all systems in the whole plant, realizes the basic operation of 3D model, and meets the hiding and displaying of objects with different needs; the types of pipelines and welds are distinguished by different colors and logos in 3D design. When designing the 3D model of welds, basic operations such as zooming in and out, stretching and viewing of the model are retained, and when querying, it can be viewed according to different object attribute fields to achieve the hiding and displaying function.

[0072] Step 53: Weld data modeling design

[0073] The pipeline weld information data currently adopts a series combination of multiple data platforms, integrating the SAPHAHA big data platform, the document management system platform and its own three-dimensional virtual simulation data to construct the pipeline weld data model.

[0074] Its own 3D simulation data modeling relies on the MAX technology field. At the same time, HANA modeling is carried out according to actual business, MYSQL data tables are stored on the ground, and the weld visualization management system model table is established.

[0075] Since the amount of nuclear power plant weld information data is large, the information comes from many sources and the format is relatively complex, and is taken from EAM production, ECM documents, management support, ERP and other systems. This leads to incomplete information in the collation and summarization, and there are cases where specific attribute data of weld objects are entered and information entry is wrong.

[0076] The data related to the welds in nuclear power plants are scattered. The data in the welding records of historical changes and design modifications in power plants are very easy to be lost or incomplete. The new and old data are mixed, and it is generally very difficult to check and find some data. The data related to the welds in nuclear power plants are messy. Due to the lack of standardized centralized management, a large amount of data is inaccurate or inconsistent with the actual situation on site. It is difficult to check the historical data related to the welds in nuclear power plants; it is difficult to check and confirm the data related to the welds in nuclear power plants; there is a lack of technical means to analyze and judge.

[0077] The present invention uses a big data platform as a carrier to achieve full-process and full-scene management and control of weld data sources, modeling, and display. The big data platform is used to extract data from each system into the big data platform using a number extraction tool, and the HANA tool is used for unified modeling. Using the big data platform as the data source of the weld three-dimensional model solves the problem of data dispersion in each system, and realizes the query of various types of data in three-dimensional space according to the system layout. In addition, the data and the three-dimensional model are developed into a universal version to facilitate the use of other business demand parties. At the same time, the approval process is integrated to check and modify the erroneous attribute information in real time. The data model will standardize the model field attributes, and view the changes in data in real time by querying the model. The platform sets data permissions, which will be divided into different levels of 1) query only 2) auditable / approved 3) modifiable. The final model realizes data collection, verification, and display by modifying the reporting, display, and download functions.

[0078] Example

[0079] This design is used in the weld visualization management system of Qinshan Nuclear Power Plant, which adopts a completely real 3D power plant model. Based on the 3D design model of Qinshan Nuclear Power Fangjiashan (AECL), the 3D digital model of the power plant is established by Unity3D modeling. The model is created in a 1:1 way that is safe and consistent with the real object, and truly restores the actual situation of the power plant.

[0080] (1) Obtain all drawings required for the Qinshan Nuclear Power Plant's RIS, RCP, RCV, VVP, TEG and other 25 systems, including complete flow charts and isometric drawings (including main pipelines and small branches).

[0081] (2) Data cleaning: convert the drawing data into table data according to the model production data specifications and weld attribute data requirements. (All basic information contained in the drawing is recorded, such as room number, pipe section number, flow chart and isometric file number, etc., and it is divided according to every two weld nodes to form a pipeline-data object-room number map data.)

[0082] (3) 3DMAX uses the weld drawing data information for detailed modeling, dividing the entire system pipeline into segments. In 3DMAX, the several major types that appear in the pipeline drawing are classified by different colors, and modeling is performed using the XYZ axis to achieve point-to-point and pipe segment-to-pipe segment pluggability.

[0083] (4) Package the model file and then use Unity3D to render the animation, and finally generate the WEBGL package. (WEBGL performs memory processing and compresses the volume according to the hardware device requirements.)

[0084] (5) Data association design: Use the HAHA big database and integrated table data to associate weld data with WEBGL model data. Image files use data node names to perform path queries within a small range and perform data attachment.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that modifying the technical solutions described in the aforementioned embodiments, or replacing some or all of the technical features therein by equivalents, does not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A three-dimensional visualization modeling method for welds based on big data analysis, characterized in that: The steps include: Step 1: Build the pipeline plane; Step 2: 3DMAX data modeling; Step 3: UNITY3D production; Step 4: Confirm to publish WEBGL; Step 5: 3D visualization analysis.

2. A weld three-dimensional visualization modeling method based on big data analysis as claimed in claim 1, characterized in that: The step 1 includes using the collected weld-related data, including various types of weld attribute parameters, weld overhaul documents, and as-built materials, to convert the weld data into a graph structure, in which welds are represented as nodes and different relationships are represented as edges, to construct a network model of the weld data.

3. A weld three-dimensional visualization modeling method based on big data analysis as claimed in claim 2, characterized in that: In the step 1, the nodes connected by the edges are assigned corresponding weights according to their importance, and the importance score of each node is calculated using the PageRank algorithm. Multiple iterations are performed, and finally the important and critical welds in the weld data are determined based on the PageRank scores of the nodes.

4. The method for three-dimensional visualization modeling of welds based on big data analysis according to claim 1, characterized in that: The step 2 is based on the pipeline obtained from the pipeline isometric drawing and the weld information obtained in step 1, and the model is drawn through 3DMAX. The max pipe sections are spliced ​​according to the drawings, and the node positions are reserved for each opening and distinguished and named.

5. The method for three-dimensional visualization modeling of welds based on big data analysis according to claim 1, characterized in that: The step 3 described is to create relevant teaching experimental equipment and instruments through 3DMAX modeling, make relevant animations, and then output the file in FBX format, import it into the unity3d editor for integration and positioning, and finally enter interactive programming.

6. A weld three-dimensional visualization modeling method based on big data analysis as claimed in claim 1, characterized in that: The step 5 comprises: Step 51: Design direction; Step 52: Design of three-dimensional display platform; Step 53: Weld data modeling and design.

7. A weld three-dimensional visualization modeling method based on big data analysis as claimed in claim 6, characterized in that: The step 51 includes the interaction and query of weld big data using GBASE8a storage, compression and intelligent indexing; the weld data including related isometric drawings, flow charts, completion drawings, historical reports, and on-site photos are uniformly associated with the three-dimensional model points one-to-one, so that all relevant information can be brought out together with one query condition.

8. The method for three-dimensional visualization modeling of welds based on big data analysis according to claim 6, characterized in that: The step 52 includes realizing management among all systems of the whole plant, realizing basic operations of the three-dimensional model, and meeting the hiding and displaying of objects with different requirements; the types of pipelines and welds are distinguished by different colors and logos in the three-dimensional design.

9. The method for three-dimensional visualization modeling of welds based on big data analysis according to claim 6, characterized in that: The step 53 includes constructing the pipeline weld information data by connecting multiple data platforms in series, integrating the SAPHAHA big data platform, the document management system platform and its own three-dimensional virtual simulation data, constructing the pipeline weld data model, and then performing HANA modeling according to actual business, storing MYSQL data tables on the ground, and establishing a weld visualization management system model table.

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