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Research on Hierarchical Autonomous Operation Monitoring of Energy Stations Based on Cloud Technology

机译:基于云技术的能源站分层自主运行监测研究

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摘要

To solve the problem of remote monitoring and hierarchical autonomy of distributed energy stations, the hierarchical autonomous operation monitoring platform of energy stations is studied based on cloud technology. The flow computing framework and wide area message queue technology are introduced to realize distributed data collection and distributed data processing. The platform defines the operators of basic operation of flow data on wide area message queue, and supports the modeling, discovery, programming, providing and hosting of flow computing services; the distributed data acquisition and processing includes channel parser, data aggregation group, channel supervision service, repeater, message service, data calculation, alarm processing and control Each component independently constitutes a docker operator in the flow computing framework to complete the data processing of the configuration or monitoring model specified segments; through the research of data acquisition and processing and equipment operation data analysis and early warning technology, it provides customers with a reasonable, clean and reliable energy supply mode of distributed autonomous operation for power and hot / cold energy required by production. In the simulation environment of open stack and docker, the feasibility of integrated information collection and monitoring and hierarchical monitoring of distributed energy station is verified.
机译:为了解决分布式能源站的远程监测和分层自主权的问题,基于云技术研究了能量站的分层自主操作监控平台。引入流量计算框架和广域消息队列技术,以实现分布式数据收集和分布式数据处理。该平台定义了在广域消息队列上的流数据的基本操作运算符,并支持流量计算服务的建模,发现,编程,提供和托管;分布式数据采集和处理包括频道解析器,数据聚合组,信道监控服务,转发器,消息服务,数据计算,报警处理和控制每个组件在流量计计算框架中独立构成Docker运算符,以完成配置的数据处理或监控模型指定的段;通过对数据采集和加工和设备运行数据分析和预警技术的研究,它为客户提供了可合理,清洁可靠的能源供应模式,用于生产的电源和热/冷能量。在开放堆栈和码头的仿真环境中,验证了分布式能源站的集成信息收集和监控和分层监控的可行性。

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