IIoT solutions are becoming mainstream for corporations looking for benefits such as production quality, cost reduction, legacy asset optimization, and even new business model opportunities. In this white paper, we discuss the importance of deploying OT data to an OT/IT cloud, and highlight ho w Moxa can help OT engineers complete such a daunting task.
Why Deploying OT Data to an OT/ IT Cloud Matters
Over the past few years, the Industrial IoT (IIoT) has been transformed from a concept to real solutions that focus on business-to-business, device-to-device, and people-to-device connectivity across industrial networks.
The first step to realizing an IIoT application is data collection , and an ever-increasing number of IIoT technologies are now available to collect large amounts of data from monitored OT systems. Prime examples of such technologies are cloud services and pub/sub protocols. Because of the continual diversification of IIoT applications, the amount of data that needs to be collected and processed is increasing faster than ever.
IIoT solutions are becoming mainstream for corporations looking for benefits such as production quality, cost reduction, legacy asset optimization, and even new business model opportunities. In this white paper, we discuss the importance of deploying OT data to an OT/IT cloud, and highlight how Moxa can help OT engineers complete such a daunting task.
Value Chain Integration Between OT and IT Systems
Historically, operational technology (OT) departments have been responsible for keeping their plants running smoothly . The typical scenario has been to monitor the status of and data produced by manufacturing processes performed by shop floor machines. For some advanced corporations , process data was uploaded to SCADA systems as part of an effort to migrate from passively monitoring equipment status to proactively improving Overall Equipment Effectiveness (OEE) and control.
Information technology (IT) departments, on the other hand, were responsible for managing business applications related to finance, the supply chain, and product orders. In addition, they endeavored to improve the supply chain by enhancing the connectivity between enterprise resource planning (ERP), manufacturing execution systems (MES), an d the factory ’s OT system.