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Optimization Control Strategy of Electricity Information Acquisition System Based on Edge-Cloud Computing Collaboration

机译:基于边缘云计算协同的电力信息采集系统优化控制策略

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With the rigorous development of the power industry and information technology, various types of information need to be collected by the electricity information acquisition system, indeed leading to huge data transmission, storage, and processing. This leads to the requirements of high-end technology for the electricity information acquisition system. Simultaneously, the requisite for power supply quality, service demand and power marketing smooth management increases. In order to meet the growing challenges, this paper presents a novel architecture of the customer electricity information acquisition system based on Edge-Cloud computing collaboration technology. This architecture is dedicated to solve the problems of long-distance communication, a large amount of data transmission through the channel, heavy data processing and storage burden of the main data center. Further, this architecture will assist to reduce the burden of information transmission through the channel, fully ensuring the timeliness of information processing and control instructions, and realizing local information processing. To achieve the concentrator information processing priority and make the concentrator highly effective information analysis and processing, this paper uses an analytical hierarchy process (AHP).
机译:随着电力工业和信息技术的严格发展,电力信息采集系统需要收集各种类型的信息,确实导致了巨大的数据传输,存储和处理。这导致对电力信息采集系统的高端技术的需求。同时,对电源质量,服务需求和电源营销进行平稳管理的要求也在增加。为了应对日益增长的挑战,本文提出了一种基于Edge-Cloud计算协作技术的新型客户用电信息获取系统架构。该体系结构专门用于解决远程通信,通过通道传输大量数据,繁重的数据处理以及主数据中心的存储负担等问题。此外,该架构将有助于减轻通过通道传输信息的负担,充分确保信息处理和控制指令的及时性,并实现本地信息处理。为了实现选矿厂信息处理的优先级,并使选矿厂高效地进行信息分析和处理,本文采用了层次分析法。

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