Establishment of corrosion big data standard acquisition platform for refining process

Abstract

The advent of the internet of things and big data era has brought new ideas for corrosion analysis and prediction of refining units. With the establishment and application of all kinds of information systems, refining enterprises have accumulated a large number of structured, unstructured, corrosion influencing factors and corrosion result data sources, but all kinds of system data are independent, and the traditional storage methods are limited in calculation, processing and analysis and mining ability, which do not have the conditions of big data analysis and utilization, so it is urgent to study the standardized collection method of corrosion data and establish a unified data center. Based on the whole life process of equipment, this paper studies the data content, data characteristics and current main data acquisition and management forms of corrosion related data in each link of the equipment through-life. In addition, this paper puts forward the overall structure of corrosion big data standard acquisition system for refining process in the enterprise as a whole. The big data acquisition system, which is suitable for corrosion big data comprehensive collection, efficient storage and open interface, is established to carry on the data acquisition step by step, and lays a foundation for the acquisition and analysis and utilization of corrosion big data from refining process.