preHAZOP: Graph‐Based Safety Analysis for Early Integration into Automated Engineering Workflows

Abstract

The increasing digitalization and standardization within the process industry lead to a high availability of digital, machine-readable processes and plant descriptions. In particular, the publication of the DEXPI standard provides a digital representation of plant topologies including a complete description of all specifications. In early planning phases, this can be used as the basis for an automated safety assessment since digital availability significantly simplifies accessibility for smart search algorithms. This paper presents the preHAZOP search algorithm, which was developed to analyze P&IDs in DEXPI format and to detect safety-critical deviations regarding their risk according to a classical HAZOP analysis. The preHAZOP is of particular interest in early process development stages and can be easily integrated into modern, digital engineering workflows.

Graph Learning in Machine‐Readable Plant Topology Data

“…A large part of these P&IDs is available as an open‐source dataset provided by the KEEN project 26. To maintain good accessibility of the data, the DEXPI P&IDs were converted into a GraphML format 19 using a DEXPI2GraphML‐converter 27, 28, which is available as a python and windows application. The dataset contains 2504 components and 2842 connections (piping or signal lines), which are increased to 5647 connections for the case of an undirected representation.…”