中文摘要：

以丙烯聚合过程为研究对象，给出了构建丙烯聚合过程非正常工况自愈调控系统知识库的方法。将危险与可操作性分析结果、机理模型以及相关事故案例应用于丙烯聚合过程，为状态监测、预警和自愈调控等技术应用提供依据。基于危险与可操作性分析结果编写报警规则，实时在线监测过程中温度、压力、流量、组分和液位等变化，计算非可监测变量，在非正常工况时及时报警，并自动给出非正常原因、不利后果、防范建议和措施，这对于保障石化企业安全生产具有重要意义。

英文摘要：

By taking the propylene polymerization process as the research object, a method of constructing the knowledge base of the abnormal situation self-recovery system was presented. By applying the results of hazard and operability analysis, mechanism model and related accident cases to the propylene polymerization process, a technical basis for condition monitoring, early warning and self-recovery was established. Based on the results of hazard and operability analysis, alarm rules were formulated, the temperature, pressure, flow rate and liquid level of the process could be real-time monitored, and non-monitored variables could be calculated to give in-time alarm, reasons for abnormal situation, consequences, and preventive measures, which may be important for maintaining normal production.