用规则图自动修正化工流程图中的错误，减轻工程师审图负担。
Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs
- 将流程图转为图结构，通过规则图实现自动化纠错
- 基于33条工程知识规则，案例验证可有效修正错误
- 适合化工设计与审查环节的工程师快速辅助校对
管道仪表流程图（P&ID）是化工过程工程的核心参考文件。当前工程师需手动逐页检查数百至数千张P&ID以发现并修正错误，工作量巨大。本文提出一种基于规则的自动化方法，利用图表示对P&ID进行错误检测与修正。通过pyDEXPI Python工具包，将符合DEXPI标准的P&ID转换为图结构，并构建规则图实现自动纠错。研究基于化学工程知识与启发式规则，开发了33条规则，其中5条作为示例展示。一个示范性案例验证了该方法在修正P&ID方面的可靠性和有效性。
原文摘要 · Abstract (English)
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. A case study on an illustrative P&ID validates the reliability and effectiveness of the rule-based autocorrection method in revising P&IDs.
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