基于重要度的电弧炉炼钢系统维修决策

摘要

以电弧炉炼钢过程系统为例,建立设备系统重要度评价判据体系(包括可靠性、维修性、经济性和监测性);针对系统重要度影响因素的模糊特性,采用模糊层次分析法确定各指标之间的相对初始权重,提出模糊判断矩阵的一致性调整方法;应用Monte Carlo仿真模拟计算电弧炉炼钢12个子系统的重要度指数,采用重要度面积指数反映设备的重要度级别,并根据此指标将设备系统划分为关键设备、重要设备、一般设备和次要设备4类,建立基于重要度的钢铁生产设备维修模式决策模型.研究结果表明:基于模糊层次分析法和Monte Carlo法计算设备的重要度可以降低人为主观因素的影响,且易于实现；将其应用于钢铁企业复杂设备系统的维修决策,对提高系统的可靠性和可用性,使钢铁生产过程连续、协调和高效地运行具有重要作用.%The criticality evaluation criteria system of equipment, which consists of reliability, maintainability, economy and monitoring factors, fuzzy analytic hierarchy process (FAHP) was established and employed to determine the relative initial weights of various criticality factors considering the fuzziness of these factors, and the consistency adjustment method for fuzzy judgment matrix was proposed. Then the criticality index (CI) for 12 subsystems of electric arc furnace (EAF) steelmaking process was calculated by adopting Monte Carlo simulation. Moreover, the criticality area index was used to represent the importance level of equipment, and the equipment system was divided into four categories according to this indicator, including critical equipment, main equipment, general equipment and minor equipment. Maintenance strategy was presented based on the classification of equipment in steel plants. The results show that the methodology of equipment criticality calculation based on FAHP and Monte Carlo simulation can alleviate the impact of subjective factors, and is easy to implement, therefore, it is highly significant to improve system reliability and availability, and to ensure the steel production process running continuously, stably and efficiently by applying this method to maintenance decision-making for complex equipment systems in steel plants.