Research on Big Data Access and Management Technology of Industrial Control Under High Frequency and High Concurrency Environment of Oil and Gas Field
With the continuous progress of oil and gas field exploitation technology and the rapid development of industry 4.0,the industrial control big data generated in oil and gas field production environment has the characteristics of large amount of data,fast generation speed,and diverse sources.These big data are of great value for intelligent monitoring,fault prediction and production optimization of oil and gas fields.How to ensure the security and real-time of data has become a hot and difficult point in current research.To solve these problems,this paper proposes a distributed deployment architecture of 2 write and 4 read and a scheme of big data access and management of industrial control based on multi-node data synchronization technology to realize high frequency and high concurrency analysis and processing of data,and the effectiveness and feasibility of the industrial control big data access and control scheme proposed in this paper are verified by practical cases.The experimental results show that the scheme can efficiently process the high frequency and high concurrency industrial control big data,while ensuring the safety and real-time data,which provides a strong technical support for the intelligent monitoring and optimization of oil and gas field production.
high frequency and high concurrencydistributed deploymentindustrial control big data
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