Process safety is one of the essential preconditions for the achievement of green manufacturing. The improvement of process safety management requires a comprehensive risk analysis based on the collection of almost all safety related information, which are usually unstructured knowledge and experience. To handle the information and support the risk analysis, a process safety knowledge graph is prompted and the development of domain ontology on delayed coking process is elaborated. The combined top-down and bottom-up approaches are used in defining the process safety schema on ontology level. Several multi-structured data sources are introduced in establishing the process safety knowledge, in which the hazard and operability analysis (HAZOP) reports and process diagrams are most important. The ontology design and data extraction are demonstrated in the manuscript while various related applications are discussed. This process safety knowledge graph might empower the knowledge-based analysis abilities in discovering the hidden relationships between possible risk causes and consequences in an emergency situation, and could provide a foundation for more application related to process safety.

过程安全是实现绿色制造的基本前提之一。流程安全管理的改进要求基于收集几乎所有安全相关信息（通常是非结构化的知识和经验）进行全面的风险分析。为了处理这些信息并支持风险分析，系统会提示过程安全知识图，并详细阐述延迟焦化过程的领域本体的开发。自上而下和自下而上的组合方法用于在本体级​​别定义过程安全模式。在建立过程安全知识时，引入了多个多结构数据源，其中危害和可操作性分析（HAZOP）报告和过程图最为重要。手稿中演示了本体设计和数据提取，同时讨论了各种相关应用。该过程安全知识图可以增强基于知识的分析能力，以发现紧急情况下可能的风险原因与后果之间的隐藏关系，并可以为与过程安全相关的更多应用提供基础。