通信学报2025，Vol.46Issue(3)：1-12,12.DOI:10.11959/j.issn.1000-436x.2025025
面向工业生产的算力孪生网络数据处理优化方法
Optimization method for data processing in digital twin-enabled computing power network for industrial production
摘要
Abstract
To meet the demand for real-time sensing,synchronization,and analysis of high-throughput,heterogeneous in-dustrial data in computing power twin networks for industrial scenarios,an optimization method for data processing in in-dustrial computing twin networks was proposed to enhance data synchronization quality.Firstly,an industrial computing twin architecture was proposed,considering industrial production requirements and computing twin services.Secondly,in response to the digital twin's requirements for low synchronization latency,high data accuracy,and efficient compu-ting resource utilization,a data processing model placement problem was formulated by comprehensively incorporating these factors.To solve this problem,an optimization algorithm based on the harmony search algorithm was developed to efficiently address model placement.Simulation results show that,compared with benchmark algorithms,the proposed algorithm provides better model placement decisions and demonstrates superior global optimum search capabilities.关键词
工业物联网/数字孪生/算力网络/数据处理Key words
industrial Internet of things/digital twin/computing power network/data processing分类
信息技术与安全科学引用本文复制引用
吴双,谢人超,唐琴琴,谢高畅,黄韬..面向工业生产的算力孪生网络数据处理优化方法[J].通信学报,2025,46(3):1-12,12.基金项目
国家自然科学基金资助项目(No.92367104) The National Natural Science Foundation of China(No.92367104) （No.92367104）
