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There should be plugins that generate 3D models of pipelines

711
5
10-15-2024 11:14 AM
Status: Open
LiangJunDing
Emerging Contributor

Quickly generate 3D pipeline models with 2D vector data of pipelines, such as shp data.

5 Comments
AyanPalit

@LiangJunDing Thanks for the idea. Please elaborate on what attributes, parameters would be used to render 2D data into 3D. For example a typical data requirement would be z-values or elevation of the pipeline features. It will also be good if you add visual samples of what you expect to see and how it will be used. 

LiangJunDing

我会来描述管点和管线在市政给水管网中的展现。

数据一般采用高斯克吕格投影到平面。

管点的主要属性包括 唯一ID,高程,管点类型(例如自来水阀门井)、特征点(例如三通)、附属物(可以关联到附属物表格数据,也可以在图形数据中扩展属性字段进行描述)、井盖编号、竣工日期、使用年限、施工单位、探测单位、权属单位等等。

管线的主要属性包括 唯一ID、起点ID、终点ID(和管点层数据关联)、起点埋深、终点埋深、起点覆土深度、终点覆土深度、管径(单位为mm)、管沟宽度、埋设类型(例如直埋)、结构形式(例如单衬)、材质(例如铸铁)、竣工日期、施工单位、探测单位、权属单位等等。

在三维展现中,对于附属物的表现,一般根据简单描述的参数对已有的模型进行拉伸旋转缩放等形成特定的模型。例如,井盖形状、井盖材质、井盖直径、检修井材质、井深度、井室代码、井宽度、井脖深度等等。

翻译成英文如下:

I'm going to describe how pipe points and lines appear in the municipal water network.

The data is generally projected onto the plane using Gaussian Kruger projection.

The main attributes of the pipe point include unique ID, elevation, type of pipe point (such as tap water valve Wells), feature point (such as tee), appendages (which can be associated with the appendage table data, or can be described in the extended attribute field in the graph data), manhole cover number, completion date, service life, construction unit, detection unit, ownership unit, etc.

The main properties of a pipeline include Unique ID, start ID, end ID (associated with the data of the pipe point layer), start buried depth, end buried depth, start covered depth, end covered depth, pipe diameter (in mm), trench width, buried type (such as direct buried), structural form (such as single lining), material (such as cast iron), completion date, construction unit, detection unit, ownership unit, etc.

In the three-dimensional presentation, for the performance of appendages, the existing model is generally stretched, rotated, scaled, etc., according to the parameters described briefly to form a specific model. For example, manhole shape, manhole cover material, manhole diameter, manhole material, well depth, well chamber code, well width, well neck depth, etc.Untitled.pngUntitled1.png

LiangJunDing

This is the display of the pipe network model in a chemical plant, with basically no attachments, just simple pipe points and pipeline data, without maps when rendering.(Provided by third party enterprises)

Untitled3.png

LiangJunDing

I'm going to describe how pipe points and lines appear in the municipal water network.

The data is generally projected onto the plane using Gaussian Kruger projection.

The main attributes of the pipe point include unique ID, elevation, type of pipe point (such as tap water valve Wells), feature point (such as tee), appendages (which can be associated with the appendage table data, or can be described in the extended attribute field in the graph data), manhole cover number, completion date, service life, construction unit, detection unit, ownership unit, etc.

The main properties of a pipeline include Unique ID, start ID, end ID (associated with the data of the pipe point layer), start buried depth, end buried depth, start covered depth, end covered depth, pipe diameter (in mm), trench width, buried type (such as direct buried), structural form (such as single lining), material (such as cast iron), completion date, construction unit, detection unit, ownership unit, etc.

In the three-dimensional presentation, for the performance of appendages, the existing model is generally stretched, rotated, scaled, etc., according to the parameters described briefly to form a specific model. For example, manhole shape, manhole cover material, manhole diameter, manhole material, well depth, well chamber code, well width, well neck depth, etc.

Untitled.pngUntitled1.png

LiangJunDing

It has technical terms, so the translation may not be entirely accurate.

I will describe the representation of pipe points and pipelines in the municipal water supply network.

The data is generally projected onto a plane using the Gauss-Kruger projection.

The main attributes of pipe points include a unique ID, elevation, point type (e.g., water valve well), feature point (e.g., T-junction), auxiliary structure (which can be linked to auxiliary data tables or described by extending attribute fields in graphical data), manhole cover number, completion date, service life, construction company, detection company, ownership entity, etc.

The main attributes of pipelines include a unique ID, start point ID, endpoint ID (associated with pipe point layer data), start point burial depth, endpoint burial depth, start point covering depth, endpoint covering depth, pipe diameter (in mm), trench width, burial type (e.g., direct burial), structural form (e.g., single lining), material (e.g., cast iron), completion date, construction company, detection company, ownership entity, etc.

In three-dimensional representation, the auxiliary structure is generally modeled by performing stretching, rotation, scaling, etc., based on simple descriptive parameters of the existing model. These parameters include manhole cover shape, manhole cover material, manhole cover diameter, maintenance well material, well depth, well chamber code, well width, and neck depth.