[1]TIAN Feng,BAI Xinyu,LIU Fang,et al.A lightweight intrusion detection algorithm for hazardous areas in oilfields[J].CAAI Transactions on Intelligent Systems,2022,17(3):634-642.[doi:10.11992/tis.202107033]
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A lightweight intrusion detection algorithm for hazardous areas in oilfields

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 17 Number of periods: 2022 3 Page number: 634-642 Column: 人工智能院长论坛 Public date: 2022-05-05
Title:
A lightweight intrusion detection algorithm for hazardous areas in oilfields
Author(s):
TIAN Feng;  BAI Xinyu;  LIU Fang;  JIANG Wenwen
School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China
Keywords:
intrusion into hazardous areas in oilfields; target detection; depth separable convolution; lightweight; channel attention; deep learning; feature fusion; feature extraction
CLC:
TP37
DOI:
10.11992/tis.202107033
Abstract:
Hazardous areas in oilfields are a core problem in oilfield security, and capturing hazards occurring in real-time with target detection is the focus of intrusion detection models. To improve the real-time performance of such models, this paper proposes a lightweight YOLO detection algorithm combining the cross-stage linear bottleneck module and channel attention mechanism. First, a feature extraction network is built with the cross-stage linear bottleneck module cascaded with the lightweight convolutional and cross-stage local residual modules; this greatly reduces the parameters of the model. Then, an improved channel attention mechanism is used in front of the feature fusion module of the feature pyramid to enhance feature expressiveness and global relevance. In the feature inference module, the output is optimized using a central, normalized, nonmaximal suppression method to avoid false suppression of neighboring targets. This algorithm is tested in the VOC2007 dataset, and the accuracy rate can reach 74.9%, which is better than most lightweight detection algorithms. The algorithm has been deployed and applied in the Jidong Oilfield, where it effectively ensures the safety of life and property of oilfield operators.
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