Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins

TL;DR

This paper presents algorithms for converting 2D piping and instrumentation diagrams and 3D pipe routing data into graphs, enabling automatic integration into unified digital plant models for Industry 4.0 applications.

Contribution

It introduces novel algorithms for automatic graph generation from 2D and 3D plant representations to facilitate their integration via graph matching.

Findings

Algorithms successfully generate graphs from 2D and 3D data

Case study validates the graph generation approach

Discussion on reprocessing graphs for improved matching

Abstract

Ongoing standardization in Industry 4.0 supports tool vendor neutral representations of Piping and Instrumentation diagrams as well as 3D pipe routing. However, a complete digital plant model requires combining these two representations. 3D pipe routing information is essential for building any accurate first-principles process simulation model. Piping and instrumentation diagrams are the primary source for control loops. In order to automatically integrate these information sources to a unified digital plant model, it is necessary to develop algorithms for identifying corresponding elements such as tanks and pumps from piping and instrumentation diagrams and 3D CAD models. One approach is to raise these two information sources to a common level of abstraction and to match them at this level of abstraction. Graph matching is a potential technique for this purpose. This article focuses on automatic generation of the graphs as a prerequisite to graph matching. Algorithms for this purpose are proposed and validated with a case study. The paper concludes with a discussion of further research needed to reprocess the generated graphs in order to enable effective matching.