Big data mining and application of long-distance oil and gas pipeline
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 theoretica...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2020-09-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00174/ |
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| _version_ | 1841531199233720320 |
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| author | Tao YU Lijun LIU Hongjun CHEN Yao YU |
| author_facet | Tao YU Lijun LIU Hongjun CHEN Yao YU |
| author_sort | Tao YU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-be480a2778ed46cfb13a1d3ce5160ccb |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2020-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-be480a2778ed46cfb13a1d3ce5160ccb2025-01-15T02:52:59ZzhoChina InfoCom Media Group物联网学报2096-37502020-09-01411211959646196Big data mining and application of long-distance oil and gas pipelineTao YULijun LIUHongjun CHENYao YUIn 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.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00174/long-distance oil and gas pipelinebig dataintelligent |
| spellingShingle | Tao YU Lijun LIU Hongjun CHEN Yao YU Big data mining and application of long-distance oil and gas pipeline 物联网学报 long-distance oil and gas pipeline big data intelligent |
| title | Big data mining and application of long-distance oil and gas pipeline |
| title_full | Big data mining and application of long-distance oil and gas pipeline |
| title_fullStr | Big data mining and application of long-distance oil and gas pipeline |
| title_full_unstemmed | Big data mining and application of long-distance oil and gas pipeline |
| title_short | Big data mining and application of long-distance oil and gas pipeline |
| title_sort | big data mining and application of long distance oil and gas pipeline |
| topic | long-distance oil and gas pipeline big data intelligent |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00174/ |
| work_keys_str_mv | AT taoyu bigdataminingandapplicationoflongdistanceoilandgaspipeline AT lijunliu bigdataminingandapplicationoflongdistanceoilandgaspipeline AT hongjunchen bigdataminingandapplicationoflongdistanceoilandgaspipeline AT yaoyu bigdataminingandapplicationoflongdistanceoilandgaspipeline |