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Automatic Visual leakage detection and localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques

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Engineering 2021年第6期7卷 758-776页

作者： Mina Fahimipirehgalin Emanuel Trunzer Matthias Odenweller Birgit Vogel-Heuser Institute of Automation and Information Systems Technical University of MunichGarching 85748Germany Evonik Technology and Infrastructure GmbH Hanau 63450Germany

Liquid leakage from pipelines is a critical issue in large-scale process *** in pipelines affects the normal operation of the plant and increases maintenance ***,it causes unsafe and hazardous situations for ***,the detection and localization of leakages is a crucial task for maintenance and condition ***,the use of infrared(IR)cameras was found to be a promising approach for leakage detection in large-scale *** cameras can capture leaking liquid if it has a higher(or lower)temperature than its *** this paper,a method based on IR video data and machine vision techniques is proposed to detect and localize liquid leakages in a chemical process *** the proposed method is a vision-based method and does not consider the physical properties of the leaking liquid,it is applicable for any type of liquid leakage(i.e.,water,oil,etc.).In this method,subsequent frames are subtracted and divided into ***,principle component analysis is performed in each block to extract features from the *** subtracted frames within the blocks are individually transferred to feature vectors,which are used as a basis for classifying the *** k-nearest neighbor algorithm is used to classify the blocks as normal(without leakage)or anomalous(with leakage).Finally,the positions of the leakages are determined in each anomalous *** order to evaluate the approach,two datasets with two different formats,consisting of video footage of a laboratory demonstrator plant captured by an IR camera,are *** results show that the proposed method is a promising approach to detect and localize leakages from pipelines using IR *** proposed method has high accuracy and a reasonable detection time for leakage *** possibility of extending the proposed method to a real industrial plant and the limitations of this method are discussed at the end.

关键词： leakage detection and localization Image analysis Image pre-processing Principle component analysis k-nearest neighbor classification

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