An Edge Caching Strategy for Intelligent Manufacturing Supervision of Electrical Equipment

Abstract

Abstract: Intelligent IoT of electrical equipment is conducive to the realization of high-level development of the electric equipment industry, while the traditional information interaction architecture cannot meet the information interaction requirements of intelligent IoT. Aiming at the problem of information distribution efficiency of electrical equipment intelligent manufacturing monitoring platform, an information distribution framework of electrical equipment based on edge cache is designed. Considering the cost of network construction and the delay demand of business data distribution, and aiming at maximizing the benefit of service cache of power companies, an edge information cache strategy for intelligent supervision of electrical equipment is studied. To reduce the complexity of problem solving, a cache decision algorithm based on improved particle swarm optimization is proposed. The simulation results show that the proposed caching algorithm achieves the high caching service benefits of power companies while guaranteeing the data caching requirements with high partial delay priority.

Key words: electrical equipment, industrial Internet, edge cache, service revenue, data popularity, particle swarm optimization algorithm

LI Ling, CHEN Xi, SHEN Wei-jie, XIONG Han-wu, CAI Ran-ran. An Edge Caching Strategy for Intelligent Manufacturing Supervision of Electrical Equipment[J]. Computer and Modernization, 2022, 0(05): 61-67.

References

［1］任姚丹珺,戚正伟,管海兵,等. 工业互联网边缘智能发展现状与前景展望［J］. 中国工程科学, 2021(2):104-111.
［2］孙萌,崔强,陈曦,等. 面向工业互联网的电工装备智慧物联标准体系研究［J］. 电网技术, 2021(11):4594-4601.
［3］司羽飞,谭阳红,汪沨,等. 面向电力物联网得云边协同结构模型［J］. 中国电机工程学报, 2020,40(24):7973-7979.
［4］蔡振启,李志军. 面向工业物联网的移动边缘计算任务卸载与资源分配［J］. 工业控制计算机, 2021,34(8):50-52.
［5］王同,康桂华,刘祥,等. 基于能量收集的MEC系统的计算卸载策略研究［J］. 信息技术, 2021(2):85-91.
［6］刘通,方璐,高洪皓. 边缘计算中任务卸载研究综述［J］. 计算机科学, 2021,48(1):11-15.
［7］李智勇,王琦,陈一凡,等. 车辆边缘计算环境下任务卸载研究综述［J］. 计算机学报, 2021,44(5):963-982.
［8］王一蓉,王思宁,邹颖,等. 电力CDN业务需求分析及网络体系架构研究［J］. 电信科学, 2015,31(5):156-163.
［9］王舒平,张毅,韦文闻,等. 内容分发网络预取技术综述［J］. 电子技术应用, 2019,45(4):23-28.
［10］于波涛,王一蓉,王红凯,等. 电力CDN业务实验平台的研究与实现［J］. 电力信息与通信技术, 2016,14(4):160-165.
［11］胡敏,陈玉明,黄宏程. 基于社会关系感知的边缘网络缓存策略［J］. 计算机应用研究, 2020,38(6):1825-1829.
［12］王其朝,金光淑,李庆,等. 工业边缘计算研究现状与展望［J］. 信息与控制, 2021,50(3):257-274.
［13］蔡艳,吴凡,朱洪波. D2D协作边缘缓存系统中基于传输时延的缓存策略［J］. 通信学报, 2021(3):183-189.
［14］王俊岭,胡敏,黄宏程. 基于区域用户需求感知的边缘缓存策略研究［J］. 计算机应用研究, 2021,38(2):544-548.
［15］李东栋,宋荣方. 异构网中D2D协助的低能耗边缘缓存方法研究［J］. 南京邮电大学学报, 2020,40(1):23-28.
［16］LI L, CHAN C A, ERFANI S, et al. Adaptive edge caching based on popularity and prediction for mobile networks［C］// 2019 International Joint Conference on Neural Networks (IJCNN). 2019. DOI: 10.1109/IJCNN.2019.8851794.
［17］LIU Y, HE Q, ZHENG D Q, et al. Data caching optimization in the edge computing environment［C］// 2019 IEEE International Conference on Web Services (ICWS). 2020. DOI: 10.1109/ICWS.2019.00027.
［18］REN D W, GUI X L, LU W, et al. GHCC: Grouping-based and hierarchical collaborative caching for mobile edge computing［C］// 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).2018. DOI: 10.23919/WIOPT.2018.8362881.
［19］YANG P, ZHANG N, ZHANG S, et al. Content popularity prediction towards location-aware mobile edge caching［J］. IEEE Transactions on Multimedia, 2019,21(4):915-929.
［20］杨静,武佳,李红霞. 用户属性感知的移动社交网络边缘缓存机制［J］. 工程科学学报, 2020,42(7):930-938.
［21］苏命峰,王国军,李仁发. 边云协同计算中基于预测的资源部署与任务调度优化［J］. 计算机研究与发展, 2021,58(11):2558-2570.
［22］高寒,李晓辉. 边缘计算中云边任务下发策略研究［J］. 信息技术, 2021(2):103-108.
［23］MOUSS H, MOUSS D, MOUSS N, et al. Test of pagehinckley, an approach for fault detection in an agro-alimentaryproduction system［C］// 2004 5th Asian Control Conference.2004. DOI: 10.1109/ASCC.2004.184970.
［24］孟利民,王琨,郑增乾,等. 基于粒子群算法的D2D内容边缘缓存架构策略［J］. 计算机科学, 2020,47(S2):345-348.
［25］罗逸轩,刘建华,胡任远,等. 融合经验共享Q学习的粒子群优化算法［J］. 计算机科学与探索, 2021. DOI: 10.3778/j.issn.1673-9418.2102070.
［26］张雷,李琳,陈鸿龙,等. 一种面向工业边缘计算应用的缓存替换算法［J］. 计算机研究与发展, 2021,58(7):1533-1543.
［27］秦瑾,焦勇. 面向5G边缘计算的短视频缓存策略研究［J］. 通信技术, 2021,54(4):885-892.
［28］NAEEM M A, REHMAN M A U, ULLAH R. A comparative performance analysis of porpularity-based caching strategies in named data networking［J］. IEEE Access, 2020,8:50057-50077.
［29］黄永明,郑冲,张征明,等. 大规模无线通信网络移动边缘计算和缓存研究［J］. 通信学报, 2021,42(4):44-61.

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[3]	LIANG Zheng-you , , WANG Lu , LI Xuan-ang , YANG Feng , . A Point Cloud Registration Algorithm Combining Improved PSO Algorithm and TrICP Algorithm [J]. Computer and Modernization, 2022, 0(05): 90-95.
[4]	LIU Zhi-feng, SHU Zhi-hao, XU Yue-feng, YANG Shu-yi, SHEN Wen-long. Artificial Fish Swarm Algorithm Based on PSO Adaptive Dual Strategy [J]. Computer and Modernization, 2022, 0(05): 46-53.
[5]	DENG Zu-qiang, LIU Chao, ZHOU Jing, ZHANG Jin-luan, DONG Guo-chao, . Design of RFID Power Tag for Electrical Equipment Against Electromagnetic Interference [J]. Computer and Modernization, 2021, 0(01): 12-16.
[6]	LI Zhao-tong, ZHANG Wei-shan, GUO Wu-wu. LSTM-based Working State Prediction of Industrial Internet Equipment [J]. Computer and Modernization, 2020, 0(01): 1-.
[7]	CAI Li-ping, TIAN Hui, CHEN Hai-hua, HU Jia-liang. A Random Maximum Likelihood Algorithm Based on Limited PSO Initial Space [J]. Computer and Modernization, 2019, 0(02): 60-.
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[9]	GU Quan-yu1， ZHANG Meng-ting2. BP Neural Network Algorithm Based on Frog Leaping Particle Swarm Optimization [J]. Computer and Modernization, 2015, 0(9): 57-59,65.
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