Boiler Monitoring based on Data Analytics Tools

机译：基于数据分析工具的锅炉监控

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The availability of large volumes of data in industrial automation is not directly related to the extraction of valuable information or process monitoring for a enhanced performance. Typically, data is visualized as tables, or trend plots; hiding information to increase energy-savings or decrease environmental impact. This paper presents a boiler operational monitoring design by considering alarms visualization plots that provide useful information, combined with a virtual sensor design used to predict the energy efficiency, which in turn defines the steam boiler operational performance.

机译：工业自动化中大量数据的可用性与提取有价值的信息或加工监测的提取无直接相关。通常，数据被视为表格或趋势图; 隐藏信息以提高节能或降低环境影响。本文通过考虑提供有用信息的警报可视化图，提出了锅炉操作监测设计，与虚拟传感器设计相结合，用于预测能源效率，又定义了蒸汽锅炉操作性能。

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《Mediterranean Conference on Control and Automation》|2021年|435-441|共7页
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Hugo O. Garcés; Eduardo Morales; Eduardo Espinosa; Alejandro J. Rojas; Sirish L. Shah;
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Process monitoring; Automation; Data analysis; Data visualization; Tools; Boilers; Market research;

机译：过程监控;自动化;数据分析;数据可视化;工具;锅炉;市场研究;

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Boiler Monitoring based on Data Analytics Tools

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