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An IoT-enabled approach for energy monitoring and analysis of die casting machines

机译：一种能量监测和分析压铸机的能量监测方法方法

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摘要

Die casting machines, widely used in manufacturing industry, consume a significant amount of energy. To reduce energy consumption, the primary task is to accurately characterize and evaluate the current performance. The ability to access energy-related data and, more importantly, effectively analyze these data to obtain key indicators is critical. In this paper, an Internet of Things (IoT) enabled method is proposed to stream online energy data for energy analysis of a die casting machine. The energy data captured by digital power meters and PLCs was transferred to a central server using real-time Ethernet. A set of indicators, including energy per part and energy per action, were developed to interpret the data and to evaluate the performance of a die casting machine. The feasibility of the developed energy monitoring and analysis approach was examined in a case study. Based on the results, several potential ways of energy savings were suggested.
机译：压铸机广泛用于制造业，消耗大量的能量。为了减少能耗，主要任务是准确地表征和评估当前的性能。访问能量相关数据的能力和更重要的是，有效地分析这些数据以获得关键指标至关重要。本文提出了一种物联网（IOT）的方法，用于将在线能量数据流传输压铸机的能量分析。数字功率计和PLC捕获的能量数据使用实时以太网传输到中央服务器。开发了一组指标，包括每个部件和每次动作的能量，以解释数据并评估压铸机的性能。在案例研究中检测了发达的能量监测和分析方法的可行性。根据结果​​，提出了几种潜在的节能方式。

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