详细信息
- 来源站点
- ArXiv CS.AI
- 作者
- Lukas Schulze Balhorn, Niels Seijsener, Kevin Dao, Minji Kim, Dominik P. Goldstein, Ge H. M. Driessen, Artur M. Schweidtmann
- 文章类型
- NEWS
- 语言
- en
- 发布日期
- 2026-06-09
摘要
arXiv:2502.18493v2 Announce Type: replace-cross Abstract: A piping and instrumentation diagram (P&ID) is a central reference document in chemical process engineering. Currently, chemical engineers manually review P&IDs through visual inspection to find and rectify errors. However, engineering projects can involve hundreds to thousands of P&ID pages, creating a significant revision workload. This study proposes a rule-based method to support engineers with error detection and correction in P&IDs. The method is based on a graph representation of P&IDs, enabling automated error detection and correction, i.e., autocorrection, through rule graphs. We use our pyDEXPI Python package to generate P&ID graphs from DEXPI-standard P&IDs. In this study, we developed 33 rules based on chemical engineering knowledge and heuristics, with five selected rules demonstrated as examples.
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