Chinese Journal on Internet of Things ›› 2020, Vol. 4 ›› Issue (3): 112-119.doi: 10.11959/j.issn.2096-3750.2020.00174

• Topic:IoT in Intelligent Transportation • Previous Articles     Next Articles

Big data mining and application of long-distance oil and gas pipeline

Tao YU1(),Lijun LIU2,Hongjun CHEN1,Yao YU1   

  1. 1 PetroChina Co.,Ltd.,Beijing Oil &Gas Pipeline Control Center,Beijing 100007,China
    2 Richfit Information Technology Co.,Ltd.,Beijing 100007,China
  • Revised:2020-06-30 Online:2020-09-30 Published:2020-09-07
  • Supported by:
    The National Natural Science Foundation of China(51774311)

Abstract:

In response to the need of the intelligent construction of the long-distance oil and gas pipeline in the future,combining with the supervisory control and data acquisition (SCADA) system and operating parameters of the oil and gas pipeline,comparing with the characteristics of traditional theoretical methods and big data mining methods,the direction of big data to promote intelligent pipeline and three steps of digital informatization,theorization,and intelligence of the pipeline intelligence research were proposed.The pipeline intelligent architecture was established,which included a physical layer,a data layer,a data mining layer,an application layer,and a user layer.The data mining layer was the core of the architecture.The statistical analysis,time series prediction and working condition identification and other application cases showed that the use of the big data mining could effectively solve the actual production business needs and guide the future pipeline intelligent research and construction.

Key words: long-distance oil and gas pipeline, big data, intelligent

CLC Number: 

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