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28 September 2022 Construction and application of dynamic risk knowledge graph of large diameter emergency rescue well
Zhe Yang, Hongjun Qi, Bofan Tian
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Proceedings Volume 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022); 1233922 (2022) https://doi.org/10.1117/12.2655015
Event: Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 2022, Chendu, China
Abstract
The construction of a large-diameter emergency rescue well dynamic risk knowledge map is a strong support for the rapid drilling of large-diameter emergency rescue wells in a big data environment. Aiming at the problem of static mapping of existing drilling knowledge graphs, this paper introduces the time dimension to characterize the dynamic, sudden and time-effective evolution characteristics of the risk events in the drilling process of large-diameter emergency rescue wells. After large-diameter rescue well drilling risk knowledge extraction, knowledge fusion, ontology construction and dynamic knowledge reasoning, etc., the dynamic risk knowledge map of large-diameter emergency rescue wells is systematically constructed from top to bottom. In the process of constructing the knowledge graph, aiming at the imbalanced classification problem of the entity samples of the domain data set, this paper proposes a dynamic knowledge reasoning method and applies the knowledge graph to the intelligent question answering system of large-diameter rescue wells.
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Zhe Yang, Hongjun Qi, and Bofan Tian "Construction and application of dynamic risk knowledge graph of large diameter emergency rescue well", Proc. SPIE 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 1233922 (28 September 2022); https://doi.org/10.1117/12.2655015
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KEYWORDS
Mining
Safety
Intelligence systems
Data modeling
Internet
Visualization
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