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Intelligent identification method of third-party damage in high consequence areas of pipelines

The high consequence areas of long-distance oil and gas pipelines are usually provided with technical defense by video surveillance to identify the third-party damage events such as manual excavation, mechanical excavation and heavy vehicles rolling around the pipelines in high consequence areas. Ho...

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Hlavní autoři: PENG Donghua, XU Lushuai, XIN Quanyu, HAN Song, QI Yingfeng, WANG Dongying, DONG Shaohua, LIU Hongyan
Médium: Artigo
Jazyk:Chinês
Vydáno: Editorial Office of Oil & Gas Storage and Transportation 2023-07-01
Edice:You-qi chuyun
Témata:
oil and gas pipeline
high consequence areas
third-party damage
risk identification
deep learning
neural network
On-line přístup:http://kykxxb.cumtb.edu.cn/article/10.6047/j.issn.1000-8241.2023.07.008
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