An Energy Management System with Edge Computing for Industrial Facility

Min Wei, Caiqin Li, Xu Yang
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Abstract

With the development of industry, the consumption of industrial electricity is increasing, reducing the cost of electricity has become an urgent problem to be solved. Meanwhile, remote monitoring of connected devices and the intelligence pushed to the edges of the monitoring devices becomes critical in industrial IoT (IIoT). How to design the energy management mechanism that can respond to the change of electricity price in time is the main problem we are facing at present. This paper proposes an energy management architecture based on edge computing for industrial facility, which introduces edge computing into the factory energy management scenes. Under this architecture, an energy management mechanism based on edge computing is proposed. Finally, the proposed mechanism is tested, and the test shows that the mechanism can reduce the electricity cost of the factory.
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基于边缘计算的工业设施能源管理系统
随着工业的发展,工业用电量不断增加,降低用电成本已成为迫切需要解决的问题。与此同时,对连接设备的远程监控以及将智能推送到监控设备的边缘在工业物联网(IIoT)中变得至关重要。如何设计能及时响应电价变化的能源管理机制是目前我们面临的主要问题。提出了一种基于边缘计算的工业设施能源管理架构,将边缘计算引入工厂能源管理场景。在此架构下,提出了一种基于边缘计算的能量管理机制。最后,对所提出的机制进行了测试,测试表明该机制可以降低工厂的电力成本。
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