【摘要】 近年来,随着大数据、云计算技术在炼化行业的应用,通过模型优化产品结构、操作条件,可以显著提升炼化企业效益。随着装置运行,炼油厂内换热器循环水侧会在诸多方面(如pH、电解质组成、电导率等)表现出不同的水质劣化倾向。通过可视化的手段进行分析,可以实现各运行参数解耦,定量调控循环水处理工艺,最大程度推进节能减排。采用云平台作为模型部署基础,以Vue.js作为前端框架,实现了数据存储、可视化等关键功能。将多维度的循环水分析数据整合,构建了水质分析、在线诊断和优化为一体的智慧循环水数据分析系统。介绍了该系统数据存储、可视化、数据优化、在线诊断等功能的实现方式,并通过实例展示该系统在某炼油厂循环水处理优化过程中的应用效果。更多还原

【Abstract】 In recent years, with the application of big data and cloud computing technology in the refining and chemical industry, the model optimization of product structure and operating conditions can significantly improve the benefits of refining and chemical enterprises. With the operation of the unit, the circulating water side of the heat exchanger in the refinery shows different deterioration tendency in many dimensions, such as pH,electrolyte composition, conductivity, and so on. By means of visual analysis, the operation parameters can be decoupled, the process of circulating water treatment can be controlled quantitatively, and energy saving and emission reduction can be promoted to the greatest extent. Cloud platform is used as the base of model deployment and Vue.js as the front-end framework to realize the key functions of data storage, visualization, and so on. The intelligent circulating water data analysis system is constructed, which integrates the multi-dimensional circulating water analysis data. The realization of the functions of the system such as data storage, visualization, data optimization, on-line diagnosis was introduced, and an application case of the system in the process of circulating water treatment optimization in a refinery was presented.更多还原