公开(公告)号：US20230324234A1

公开(公告)日：2023-10-12

申请号：US18192224

申请日：2023-03-29

Applicant: Chengdu University of Technology

Inventor： Honghui WANG ,  Xiang WANG ,  Guangle YAO ,  Peng PENG ,  Jianbo YANG ,  Xianguo TUO

IPC: G01K11/32 ,  G06N3/08 ,  G06N3/0464

CPC classification number: G01K11/32 ,  G06N3/08 ,  G06N3/0464

Abstract: A method of locating a temperature anomalies of a distributed optical fiber includes the steps of: (a) generating a training dataset having training samples; (b) setting labels for training samples; (c) building a convolutional neural network composed of multi-layer convolutional networks and a fully connected layer, training to form a convolutional neural network model; (d) utilizing a fiber-optic temperature sensing system for measurement of testing object; (e) sending acquired data into the convolutional neural network model to obtain output features, then processing mapping and binarization; (f) offsetting the binary feature to obtain an offset feature and calculating a cosine similarity; and (g) obtaining a location of the abnormal temperature event by identifying the offset feature with a largest cosine similarity and identifying its location in the sequence P.