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Design and Implementation of Raspberry Pi Based Real time Industrial Energy Analyzer

机译:基于树莓派的实时工业能源分析仪的设计与实现

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Electrical Energy demand and generations are growing rapidly. Utilization of generated energy, effective usage, and saving energy is a recent challenge to meet the fastest growing energy demand. Statistical and a clear picture of total energy consumptions is the foremost criteria to research and to design optimum energy usage practice. Monitoring individual loads in the industrial plant rather monitoring the whole plant solely is results impactful to get precise energy statistics and utilized usage. Even in the recent past, individual consumer level, energy usage information, bill predictions, economic bill planning, real-time and historical power consumptions data is found demanded economic power usage planning. Therefore, real-time electrical power consumptions, environment monitoring is essential for both industries and general consumers to maintain their expected energy demand level. This paper discusses micro-controller and Raspberry Pi based smart monitoring, measurements, data logging, online monitoring, remote access, and statistical analysis system. The pilot Implementations in a data center monitoring (150 KVA) system found more productive in determining different factors like peak hour or energy efficient operations.
机译:电能需求和发电量正在迅速增长。满足快速增长的能源需求是产生能源的有效利用,有效利用和节约能源的一项新挑战。统计和清楚地了解总能耗是研究和设计最佳能耗实践的首要标准。监视工业工厂中的单个负载,而不是仅监视整个工厂,对于获得准确的能源统计信息和已利用的使用量来说,结果是有影响的。即使在最近的过去,仍需要进行个人用户级别,能源使用信息,账单预测,经济账单计划,实时和历史用电量数据,这是需要的经济用电量计划。因此,实时电力消耗,环境监控对于行业和一般消费者维持其预期的能源需求水平至关重要。本文讨论了基于微控制器和Raspberry Pi的智能监控,测量,数据记录,在线监控,远程访问和统计分析系统。数据中心监控(150 KVA)系统中的试点实施发现,在确定高峰时段或节能运行等不同因素方面,效率更高。

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