基于AHP-EWM-模糊综合评价的智能油库成熟度评价

Smart Oil Depot Maturity Assessment Using the AHP-EWM Fuzzy Comprehensive Evaluation Model

随着物联网、大数据等技术的发展,石化行业正朝着智能化的方向迈进。作为储存石油产品的重要场所,油库的智能化发展相对缓慢。为提升油库的智能化水平、促进油库的智能化发展,基于中国国内油库智能化现状,从生产运行管理、环保安全管理、巡检设备管理等三大业务维度,建立了智能油库成熟度评价模型,将层次分析法和熵权法相结合,得出智能油库成熟度模型的各指标权重,并通过模糊综合评价分析评估智能油库的得分情况,进一步得出智能油库的成熟度等级。最后,以某油库为例进行了智能油库成熟度的评价分析,根据最终成熟度等级评估结果分析了该油库关键业务的不足,提出了针对性的改进优化措施,以期提升其整体智能化水平。

Thanks to the advancement of big data and the Internet of Things,the petrochemical industry is moving toward intelligence.Nevertheless,despite their significance as locations for the storage of petroleum products,oil depots are intelligently growing at a fairly slow pace.Based on the current state of intelligent oil depots in China,this article establishes an evaluation of the maturity of intelligent oil depots from three major business dimensions:operation management,environmental safety management,and equipment inspection management.The goal is to raise the intelligence level of oil depots and encourage their intelligent development.The model uses a combination of the analytical hierarchy process and the entropy weight method to determine the weights assigned to each indicator of the smart oil depot maturity model.It then uses fuzzy comprehensive evaluation analysis to assess the smart oil depot’s score and determine its maturity level.The assessment and analysis of an intelligent oil depot’s maturity is also done in this article using an oil depot as an example.It analyzes the inadequacies of the oil depot’s primary business and suggests targeted improvement and optimization approaches in order to raise its overall intelligence level,based on the findings o f the final maturity level evaluation.