基于云平台大数据高效的成品油损溢管理模式

Efficient Profit and Loss Management Model for Oil Products Based on Cloud Platform and Big Data

为了改变成品油损溢管理的传统做法,提升加油站数质量管理的精准高效科学水平,以移动互联网、云计算、大数据等信息技术,结合中国石化广东石油分公司实际,探索建立了高效的云平台大数据成品油损溢管理模式,基于液位仪应用,集成了各加油站和油库全部收发调存各环节的数量、偏差、温度等数据,形成了成品油损溢管理大数据,同时结合视频监控以及GPS的应用,可随时随地获取各加油站的损溢数据,设置相应的逻辑关系便可得到需要的预判结果,既提高了异常事件的监控能力,也减少了跑冒滴漏的发生,防范了成品油数质量和安全风险,实现了成品油数质量全过程、可量化的精准损溢管理。

Based on the management system of gas station and information system of cloud platform and big data,combining the actual situation of quantity and quality management of oil products in SINOPEC Guangdong Oil Products Company,a scientific and efficient profit and loss management model for oil products based on cloud platform and big data was established,which integrated the data of quantity,deviation and temperature of all courses of purchase,delivery,transportation and deposit of gas stations and oil depots,on which the big data of profit and loss management of oil products is formed. At the same time,combining video surveillance and GPS,the profit and loss data of every gas station can be obtained at all time,and the required prediction results can be concluded by setting corresponding logical relation,which can not only improve the monitoring ability of abnormal events,but also reduce the leakage occurrence,prevent the quality and safety risk of oil product number,realize the accurate management of profit and loss of oil products in the whole process.