摘要
边缘智能作为一项新兴技术,正受到国内外学者的广泛关注,其作为人工智能技术与边缘计算技术的结合,有望促进人工智能技术在各行业的部署,加速产业智能化进程。该文首先介绍了边缘智能技术的基本原理、系统架构及其比较优势,梳理了边缘智能技术的国内外研究现状;分析了边缘智能在轨道交通建设工程、运维调度、智能控制、改造升级的全生命周期应用前景,详述了边缘智能技术在轨道交通过程管理控制、建设现场数据采集分析、信息共享、智能运维、智能调度、自动驾驶系统、列车协同控制及改造升级等全生命周期中的赋能作用。该文随后设计与实现了轨道交通智能运行控制为背景下的边缘智能平台,测试基于深度学习和强化学习的边缘智能应用的功能及性能。最后,归纳了边缘智能技术在轨道交通领域应用的问题与挑战。该文的研究期望为轨道交通领域的边缘智能应用提供有益的借鉴和实践基础。
As an emerging technology,edge intelligence is receiving extensive attention from scholars at home and abroad.As a combination of artificial intelligence technology and edge computing technology,it is expected to promote the deployment of artificial intelligence technology in various industries and accelerate the process of industrial intelligence.In this paper the basic principles,system architecture,and comparative advantages of edge intelligence technology,and sorts out the research status of edge intelligence technology at home and abroad are first introduced.The application prospects of the life cycle,the application of edge intelligence technology in the whole life cycle of rail transit process management and control,construction site data collection and analysis,information sharing,intelligent operation and maintenance,intelligent scheduling,automatic driving system,train coordination control,and transformation and upgrading are described in detail.Then the designs and implements an edge intelligent platform under the background of rail transit intelligent operation control,and tests the functions and performance of edge intelligence applications based on deep learning and reinforcement learning are discussed.Finally,the problems and challenges in the application of edge intelligence technology to the field of rail transit are summarized.The research in this paper is expected to provide a useful reference and practical basis for edge intelligence applications to the field of rail transit.
作者
朱力
龚泰源
梁豪
唐涛
王悉
王洪伟
ZHU Li;GONG Taiyuan;LIANG Hao;TANG Tao;WANG Xi;WANG Hongwei(School of Electronic Information Engineering,Beijing Jiaotong University,Beijing 100044,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2023年第4期1514-1528,共15页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61973026)。
关键词
边缘智能
轨道交通运输
人工智能
边缘计算
Edge intelligence
Rail transportation
Artificial intelligence
Edge computing
