摘要
The mortar pumpability is essential in the construction industry,which requires much labor to estimate manually and always causes material waste.This paper proposes an effective method by combining a 3-dimensional convolutional neural network(3D CNN)with a 2-dimensional convolutional long short-term memory network(ConvLSTM2D)to automatically classify the mortar pumpability.Experiment results show that the proposed model has an accuracy rate of 100%with a fast convergence speed,based on the dataset organized by collecting the corresponding mortar image sequences.This work demonstrates the feasibility of using computer vision and deep learning for mortar pumpability classification.
基金
supported by the Key Project of National Natural Science Foundation of China-Civil Aviation Joint Fund under Grant No.U2033212。
作者简介
Hao-Zhe Feng was born in Shandong,China in 1993.He received the B.S.degree from University of Electronic Science and Technology of China(UESTC),Chengdu,China in 2015.He is currently pursuing the M.S.degree with the Research Institute Electronic Science and Technology,UESTC.His research interests include image classification and pattern recognition,cloud computing,and big data processing,E-mail addresses:fhz2833@163.com;Hong-Yang Yuwas born in Sichuan,China in 1964.He received the Ph.D.degree from UESTC in 1995.He is now a professor-level senior engineer at the Research Institute of Electronic Science and Technology,UESTC.His research interests include speech signal processing,machine intelligence,and pattern recognition.,E-mail addresses:hyyu@uestc.edu.cn;Corresponding author:Wen-Yong Wang was born in Sichuan,China in 1967.He received the B.S.degree from Beihang University(BUAA),Beijing,China in 1988.He received the M.S.degree from UESTC in 1991.He received the Ph.D.degree from UESTC in 2011.He is a professor,Ph.D.supervisor,IEEE member,senior member of the China Computer Society,and an editor and reviewer of several journals and conferences at home and abroad.He has presided over the completion of nearly 40 scientific research projects,presided over or participated in a number of 973 and 863 major special projects,and the National Development and Reform Commission major engineering China’s Next Generation Internet projects.His research interests include the research and application development of computer networks and wireless sensor networks,E-mail addresses:wangwy@uestc.edu.cn;Wen-Xuan Wang was born in Sichuan,China in 1999.He received the B.S.degree from UESTC in 2021.He is currently pursuing the M.S.degree with the School of Computer Science and Engineering,UESTC.His research interests include deep learning,multi-agent reinforcement learning,and deterministic networks,E-mail addresses:wwx990818@163.com;Ming-Qian Du was born in Sichuan,China in 1970.He received the B.S.degree from Sichuan University(SCU),Chengdu,China in 1993.He is now a researcher of The Second Research Institute of Civil Aviation Administration of China,Cheng du,China.In 2005,he won the second prize of National Science and Technology Progress Award for“Automatic Baggage Sorting System at Airport”(ranked ninth),and won 7 intellectual property rights and 5 scientific and technological awards related to this project.His research interests include electrical engineering and logistics equipment automation,E-mail addresses:dumingqian@caacetc.com。
