云计算和持续能源消耗监测

V. Lupu
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引用次数: 0

摘要

电能消耗的测量已经从自主测量装置不断发展到连续测量网络。数字时代允许使用数字网络进行连续和远程测量。数字测量网络或传感器网络的构建可以基于不同的拓扑结构和通信技术。与深度学习相关的物联网和云计算带来了新的机遇。提高计算能力,降低能耗,扩展集成到芯片上的系统和降低成本成为扩展和改进传感器网络的新基础。本文从三年以上连续运行的角度,介绍了云计算技术对传感器网络测量精度的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud computing and continuous energy consumption monitoring
Measurement of electrical energy consumption has evolved continuously from autonomous measuring devices to continuous measurement networks. The digital era allowed digital networks to be used for continuous and remote measurements. Building of digital measurement networks or sensor networks can be based on different topologies and communication technologies. The Internet of Things and Cloud Computing associated with Deep Learning opens up new opportunities. Increased computing power, lower energy consumption, extended integration into systems on a chip and lower costs becomes a new foundation for expanding and improving sensor networks. This paper presents the impact on the accuracy of measurements using sensor networks with cloud computing technologies from the perspective of continuous running over a period of more than three years.
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