Desert area pipeline leakage target identification method based on convolutional neural network

Abstract

The invention discloses a desert area pipeline leakage target identification method based on a convolutional neural network, and the method comprises the steps: collecting target data through a ground penetrating radar, carrying out the preprocessing of the data, constructing the convolutional neural network, and carrying out the training and testing of the convolutional neural network. An artificial interpretation means which is most commonly used at present has extremely strong subjectivity and is easily influenced by people to generate great deviation, artificial intelligence is learned and identified by a computer, an obtained conclusion is not easily influenced by subjective factors of people, and an obtained interpretation result is more objective and accurate; according to the automatic target recognition method based on the convolutional neural network, the features of the pipeline and leakage can be automatically extracted from the input data, only part of labels need to be manually input in the training process, and excessive intervention is not needed. The trained network can efficiently identify the underground images of the desert area pipeline in real time, and can be widely applied to the leakage identification of the underground pipeline in the desert area.

Description

technical field [0001] The invention relates to the technical field of target recognition, in particular to a convolutional neural network-based pipeline leakage target recognition method in desert areas. Background technique [0002] There are many pipelines in the Tahe River in Xinjiang, some of which are in complex pipelines located in sensitive areas such as populus euphratica, red willow, and farmland. Once the pipeline leaks, it will cause a high risk of environmental pollution. [0003] Ground-penetrating radar is an effective means of non-destructive and accurate detection of underground targets with high practicability at present. Its main work is completed by the cooperation of the transmitting antenna and the receiving antenna. First, the transmitting antenna is used to transmit the high-frequency radar pulse wave that penetrates the formation downward, and then the receiving antenna is used to receive the reflected wave caused by the change of the dielectric cons...

AI Technical Summary

Problems solved by technology

For the interpretation of ground penetrating radar data, it is first necessary to preprocess the data according to the characteristics of the radar working environment, analyze the processed relevant data through the characteristics of the target, and perform manual interpretation from the data. Currently, the most commonly used manual interpretation method Has a strong subjectivity and is easily influenced by people to produce great deviations

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