双重预防机制在煤化工企业安全生产管理中的深化应用
Deepening Application of Dual Prevention Mechanism in Safety Production Management of Coal Chemical Enterprises
面向煤化工连续耦合与能量密集的工况场景,本文论证了双重预防机制“前置分级管控+反馈闭环治理”的理论适配性,提出以场景化风险识别为起点、处置闭环为终点的深化路径:构建HAZOP与LEC耦合的分级标准并对接LOPA,形成动态风险数据库;以物联网监测与事件关联驱动隐患闭环;通过OPC UA与语义模型融合MES、DCS、SIS,打通预警到工单的执行链;建立结果—过程—支撑三层指标与AHP权重评估体系。工程案例表明,事故发生率由0.8次/年降至0.1次/年,隐患整改完成率由85%升至98%,红橙级风险处置时效中位数由14 h缩短至6 h,DCS报警有效率由43%升至76%,无效告警抑制率由18%升至41%,SIS联锁健康度由0.92升至0.97,重大危险源稳定运行天数由180 d增至320 d,旁路合规率由88%升至99%。结果验证该机制可将重大危险源、剧毒介质与联锁失效纳入可分级、可核验、可追溯的治理路径。
Addressing continuous coupling and energy-intensive operational scenarios in coal chemical plants, this study validates the theoretical applicability of a dual prevention mechanism combining “preliminary hierarchical control + feedback-based closed-loop governance.” It proposes an implementation pathway starting with scenario-based risk identification and ending with closed-loop remediation: Establishing hierarchical standards integrating HAZOP and LEC methodologies coupled with LOPA to form a dynamic risk database; Driving closed-loop hazard management through IoT monitoring and event correlation analysis; Connecting early warning systems to work order execution chains via OPC UA integration with semantic models for MES, DCS, and SIS systems; Developing a three-tiered evaluation framework comprising outcome-process-support metrics and AHP weight assessment. Engineering case studies demonstrate significant improvements: Accident rates decreased from 0.8 incidents/year to 0.1, hazard rectification completion rate increased from 85% to 98%, median response time for red-orange risk incidents reduced from 14 hours to 6 hours, DCS alarm effectiveness rose from 43% to 76%, invalid alarm suppression rate improved from 18% to 41%, SIS interlock health status enhanced from 0.92 to 0.97, stable operation days for major hazard sources extended from 180 to 320 days, and bypass compliance rate increased from 88% to 99%. These results validate the mechanism’s capability to incorporate major hazard sources, highly toxic media, and interlock failures into a hierarchical, verifiable, and traceable governance framework.
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