AIoT for Aircraft Final Assembly:An Intelligent and Collaborative Framework  

作　　者：Cheng Ren Xiaojing Wen Xinping Guan Cailian Chen Yehan Ma 

机构地区：[1]Department of Automation,Shanghai Jiao Tong University,Shanghai 200240,China [2]Key Laboratory of System Control and Information Processing,Ministry of Education of China,Shanghai 200240,China [3]Shanghai Engineering Research Center of Intelligent Control and Management,Shanghai 200240,China [4]School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《Journal of Communications and Information Networks》2024年第3期262-276,共15页通信与信息网络学报（英文）

基　　金：supported in part by the National Natural Science Foundation of China under Grants 92167205,61933009,62025305,and 62103268.

摘　　要：Aircraft final assembly line(AFAL)involves thousands of processes that must be completed before delivery.However,the heavy reliance on manual labor in most assembly processes affects the quality and prolongs the delivery time.While the advent of artificial intelligence of things(AIoT)technologies has introduced advancements in certain AFAL scenarios,systematically enhancing the intelligence level of the AFAL and promoting the widespread deployment of artificial intelligence(AI)technologies remain significant challenges.To address these challenges,we propose the intelligent and collaborative aircraft assembly(ICAA)framework,which integrates AI technologies within a cloud-edge-terminal architecture.The ICAA framework is designed to support AI-enabled applications in the AFAL,with the goal of improving assembly efficiency at both individual and multiple process levels.We analyze specific demands across various assembly scenarios and introduce corresponding AI technologies to meet these demands.The three-tier ICAA framework consists of the assembly field,edge data platform,and assembly cloud platform,facilitating the collection of heterogeneous terminal data and the deployment of AI technologies.The framework enhances assembly efficiency by reducing reliance on manual labor for individual processes and fostering collaboration across multiple processes.We provide detailed descriptions of how AI functions at each level of the framework.Furthermore,we apply the ICAA framework to a real AFAL,focusing explicitly on the flight control system testing process.This practical implementation demonstrates the effectiveness of the framework in improving assembly efficiency and promoting the adoption of AIoT technologies.

关 键 词：INTELLIGENT aircraft final assembly line AIoT cloud-edge-terminal framework design 

分 类 号：TN92[电子电信—通信与信息系统]