物联网实现真空热处理室的数据采集和分析

M. Haripriya, S. Saravanan, Rejul M
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引用次数: 2

摘要

工业物联网利用传感器的应用,通过计算机、云服务器获取实时数据,为工业应用带来变革性的业务成果。工业物联网的一些主要好处是减少人为错误、体力劳动、成本、时间和金钱。我们也不能忘记工业物联网在质量控制和维护方面的可能基础。热处理行业正处于转折点,数字技术有能力开启管理工艺变量的新方法,并提高真空热处理操作的生产率。真空热处理(VHT)在电容器生产中起着重要的作用。在热处理过程中,锌元素必须在高温室内进行一定的强化处理。在电容器生产过程中,温度应保持和控制在适当的比例。通过监测工作温度,可以识别温度升高或降低等错误,并可以进行预测性维护。在这项工作中,我们开发了一个系统来监测VHT中的温度水平,特别是指向VHT的冷却剂管道。开发的系统采用pt100传感器,通过PLC网关监测冷却剂管道的活温。整个过程在班加罗尔的施耐德电气实时完成。完成一个流程需要72小时。在此过程中收集的温度值存储在使用MySql创建的数据库中,然后传输到云端进行分析以进行预测性维护。
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Iot Enabling of Vacuum Heat Treatment Chambers for Data Acquisition and Analytics
The Industrial Internet of Things capitalize application of sensors in getting real time data through computers, cloud servers for transformational business outcomes for Industrial applications. Some of the key benefits of Industrial Internet of Things are to reduce human errors, manual labor work, costs, time & money. We also cannot forget the possible underpinnings of IIoT in quality control and maintenance. The heat treatment industry is at turning point, in which digital technology has the capacity to unlock new ways of managing process variables and enhance productivity in vacuum heat treatment operations. Vacuum heat treatment (VHT) plays an important role in capacitor production. During the heat treatment process the zinc element has to undergo certain process within VHT chamber for strengthening the element. The temperature should be maintained and controlled in a proper proportion during capacitor production. By monitoring the live temperature, errors like temperature increase and decrease can be identified and predictive maintenance can be done. In this work, we developed a system to monitor the temperature levels in VHT especially the coolant pipe which is directed to VHT. The developed system uses pt100 sensors to monitor the live temperature of the coolant pipe through a gateway using the PLC. This overall process is done in real time at Schneider Electric, Bangalore. The time taken to complete one process takes 72 hours. The temperature values collected during the process is stored in database created using MySql and then transferred to cloud for analysis to do predictive maintenances.
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