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Monitoring of Industrial Electrical Equipment using IoT
IEEE Latin America Transactions ( IF 1.3 ) Pub Date : 2020-08-01 , DOI: 10.1109/tla.2020.9111678
Marcos Aurélio Fabrício 1 , Frank Herman Behrens 1 , David Bianchini 1
Affiliation  

This article presents a monitoring system for industrial electrical equipment in a production line, aiming at real-time monitoring of its operational state, allowing machine management and early detection of deviations and failures. The system measures the effective current draw of the monitored equipment using sensors connected to a data concentrator module, which stores the data collected by these sensors and performs preliminary processing before transmission to an Internet of Things platform. Preliminary data processing focuses on analyzing the time series of the electric current values in order to detect the operating state of the monitored machine. This information is then sent over the Internet to an IoT platform for long-term storage, post-processing and real-time visualization of data by end users. When a behavior deviation is detected in current consumption related to some type of potential failure, the system issues alerts and sends additional information to the production line supervisor, for example to proceed with equipment maintenance intervention without impact on production. The availability of full-time data series, as well as the history of all occurrences recorded by the monitoring system, also allow for correlations with data from other sources and their interpretation in contexts other than machine operation or maintenance. The proposed monitoring system provides minimal automation on older machines and opens up the possibility of independent, parallel and non-intrusive monitoring on machines that already have supervisory systems.

中文翻译:

使用物联网监控工业电气设备

本文介绍了一种生产线工业电气设备的监控系统,旨在实时监控其运行状态,实现机器管理并及早发现偏差和故障。该系统使用连接到数据集中器模块的传感器测量受监控设备的有效电流消耗,该模块存储这些传感器收集的数据并在传输到物联网平台之前进行初步处理。初步数据处理侧重于分析电流值的时间序列,以检测被监控机器的运行状态。然后,这些信息通过互联网发送到物联网平台,以便最终用户对数据进行长期存储、后处理和实时可视化。当在与某种类型的潜在故障相关的电流消耗中检测到行为偏差时,系统会发出警报并向生产线主管发送附加信息,例如在不影响生产的情况下进行设备维护干预。全时数据系列的可用性以及监控系统记录的所有事件的历史记录,还允许与来自其他来源的数据相关联,并在机器操作或维护以外的上下文中对其进行解释。提议的监控系统在旧机器上提供最低限度的自动化,并开辟了对已经有监控系统的机器进行独立、并行和非侵入式监控的可能性。系统发出警报并向生产线主管发送附加信息,例如在不影响生产的情况下进行设备维护干预。全时数据系列的可用性以及监控系统记录的所有事件的历史记录,还允许与来自其他来源的数据相关联,并在机器操作或维护以外的上下文中对其进行解释。提议的监控系统在旧机器上提供最低限度的自动化,并开辟了对已经有监控系统的机器进行独立、并行和非侵入式监控的可能性。系统发出警报并向生产线主管发送附加信息,例如在不影响生产的情况下进行设备维护干预。全时数据系列的可用性以及监控系统记录的所有事件的历史记录,还允许与来自其他来源的数据相关联,并在机器操作或维护以外的上下文中对其进行解释。提议的监控系统在旧机器上提供最低限度的自动化,并开辟了对已经有监控系统的机器进行独立、并行和非侵入式监控的可能性。以及监控系统记录的所有事件的历史记录,还允许与来自其他来源的数据相关联,并在机器操作或维护以外的上下文中对其进行解释。提议的监控系统在旧机器上提供最低限度的自动化,并开辟了对已经有监控系统的机器进行独立、并行和非侵入式监控的可能性。以及监控系统记录的所有事件的历史记录,还允许与来自其他来源的数据相关联,并在机器操作或维护以外的上下文中对其进行解释。提议的监控系统在旧机器上提供最低限度的自动化,并开辟了对已经有监控系统的机器进行独立、并行和非侵入式监控的可能性。
更新日期:2020-08-01
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