设计物联网和 IIoT 基础设施交通信息监控分布式系统架构

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
O. Kravets, D. Atlasov, A. Gorshkov, E. Sidorenko, E. Mutina, I. Aksenov, Yu. R. Redkin
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引用次数: 0

摘要

文章考虑了一种方法,即根据支持机器到机器和人机交互的解决方案,为物联网和工业物联网基础设施提供的通信服务设计分布式信息监控和质量管理系统架构。选择具有长短期记忆(LSTM)的神经网络作为信息监控系统主动节点建模的理论基础是合理的。考虑到分布式信息监测系统各观测点所获指标的时空相关性,介绍了所开发的 LSTM 网络结构。评估所提出的模型在接近实时的非稳态负载信息监测条件下的有效性的标准得到了证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing the architecture of a distributed system for information monitoring of IoT and IIoT infrastructures traffic
The article considers an approach to designing the architecture of a distributed information monitoring and quality management system for communication services provided by the Internet of Things and Industrial Internet of Things infrastructures based on solutions supporting machine-to-machine and human-machine interaction. The choice of a neural network with long Short-Term memory (LSTM) is justified as a theoretical basis for modeling the active node of an information monitoring system. The developed structure of the LSTM network is presented, taking into account the spatial and temporal correlation of the obtained indicators at various observation points of the distributed information monitoring system. The criteria for evaluating the effectiveness of the proposed model for the conditions of information monitoring of non-stationary load in a mode close to real time are substantiated.
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