摘要
设计了一种基于云-边协同架构、多专业协同融合的城市轨道交通实训中心智能运维管理系统。首先,分析智能化时代实训中心多专业的融合协同、集成化的实时监测、智能化的故障预防、信息化的资源管理、数字化的场景输出和多方面的反哺机制等需求;其次,基于云-边协同架构,对系统逻辑架构和物理架构进行设计;最后,应用智能感知、数据库、云边协同、故障预测与健康管理等技术,实现智能运维管理系统实时监控、数据管理、健康管理、应急管理、物资管理和教学管理等功能。系统测试结果表明,该系统能有效实现上述功能,显著提高实训中心的智能运维管理水平。
This paper designs an intelligent operations and maintenance(O&M)management system for urban rail transit training centers.Firstly,we conduct an analysis of the requirements in the era of intelligence for these training centers,which include encompassing multidisciplinary collaboration,integrated real-time monitoring,intelligent fault prevention,information-based resource management,digital scenario generation,and diverse feedback mechanisms.Secondly,based on a cloud-edge collaborative architecture,we devise both the logical and physical structures of the system.Finally,by using technologies of cloud computing,big data,artificial intelligence,and digital twinning,we realize functionalities such as real-time monitoring,data management,health management,emergency management,inventory management,and educational management within the intelligent O&M system.Testing results confirm the system’s effectiveness in achieving these functionalities and its significant contribution to enhancing the intelligent O&M capabilities of training centers.
作者
曾光
杜飞
黎新华
ZENG Guang;DU Fei;LI Xinhua(School of Rail Transportation,Guangdong Communication Polytechnic,Guangzhou 510630,China;Beijing Urban Construction Design and Development Group Co.,Ltd.,Beijing 100034,China)
出处
《实验室研究与探索》
CAS
北大核心
2024年第3期188-193,共6页
Research and Exploration In Laboratory
基金
广东省教育科学规划课题(2022GXJK486)
广东省普通高校创新团队项目(2021KCXTD085)
教育部高等学校科学研究发展中心课题(ZJXF2022105)
广东省普通高校青年创新人才类项目(2021KQNCX176)
广东省普通高校特色创新类项目(2021KTSCX223)。
关键词
城市轨道交通
实训中心
多专业融合
云-边协同
智能运维
urban rail transit
training center
multi-professional integration
cloud-edge collaboration
intelligent operation and maintenance