GraphLED: A graph-based approach to process and visualise linked engineering documents

TL;DR

GraphLED introduces a graph-based system for processing and visualising linked engineering documents, enhancing understanding and analysis of complex industrial data to support digitalisation efforts.

Contribution

The paper presents a novel graph-based approach and visualisation system for managing and analysing large, linked engineering document datasets in the AEC sector.

Findings

85.9% ambiguous text data removed via OCR

Improved understanding of linked documents through graph modelling

Potential to enhance industrial system reliability

Abstract

The architecture, engineering and construction (AEC) sector extensively uses documents supporting product and process development. As part of this, organisations should handle big data of hundreds, or even thousands, of technical documents strongly linked together, including CAD design of industrial plants, equipment purchase orders, quality certificates, and part material analysis. However, analysing such records is daunting for users because it gets complicated to sift through hundreds of documents to establish valuable relationships. This paper addresses how knowledge extracted from linked engineering documents contributes to industrial digitalisation under IT/OT convergence. The proposed GraphLED is a system tasked with data processing, graph-based modelling, and colourful visualisation of related documents. The graph-based approach ensures an improved understanding of linked information because the graph structure offers a promising tool to model the underlying data properties of engineering documents. Preliminary system validation indicates quality improvements are possible in the OCR-based data (85.9% of ambiguous text data removed). This work has the potential to benefit the industry by improving the reliability and resilience of industrial production systems through automated summaries of large quantities of documents and their linkage.