Open AccessAn Application of Image Recognition Technology Based on Deep Learning in Safety Review of Reservoir Dam Metal Structure
Author(s) -
Kai Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/643/1/012187
Subject(s) - realization (probability) , process (computing) , computer science , foundation (evidence) , key (lock) , image (mathematics) , software , artificial intelligence , deep learning , software engineering , computer security , programming language , statistics , mathematics , archaeology , history
The safety review calculation of the gate is an important job in the safety evaluation of metal structures. In accordance with the requirements of the specification, this paper has developed an intelligent software for metal structures safety review calculation, which can automate the calculation process and generate a review evaluation report. In order to simplify the labor of the manual input of a large number of gate review calculation parameters, this paper used a deep-learning-based image recognition technology to partially realize the collection of the information relevant to the calculation from the drawings of metal structures, laying the foundation for later realization of the fully intelligent gate safety review.