Do You Know Where Your IIoT Alerts Are?

IIoT is being applied by original equipment manufacturers (OEM) to remotely monitor its equipment at the customer’s site and assess its condition. Using analytics, the OEM identifies an emerging problem with a specific machine, and sends an alert to the appropriate customer.  This form of predictive maintenance is intended to prevent unplanned downtime.  However, these alerts often don’t get to the right people within the plant, leading to equipment failure as predicted. 

As the number of OEMs providing IIoT-enabled predictive maintenance services grows, the quantity of alerts received by owner-operators increases.  Since they have many different equipment suppliers, the alerts come from multiple sources with a variety of formats and received by different people.  To avoid lost alerts and the associated downtime, owner-operators need a standard business process with governance.  This includes triage in which the maintenance group assesses, evaluates next steps, prioritizes, and converts condition monitoring alerts to work orders when appropriate.

Lost Alerts Lead to Unplanned Downtime
Currently, the dominant application for IIoT involves analytics for predictive maintenance (PdM) by an OEM for its equipment.  The objective is to prevent a failure and the resulting unplanned downtime.  The typical solution is for the OEM to send an email alert to someone in a customer’s plant.  This is effective only if, after the alert is generated, someone in the plant acts with a work order for an inspection or repair.  Unfortunately, in most plants today, this alert-to-action process has a gap, with alerts becoming lost or misdirected, and the equipment fails as predicted.

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Keywords: IIoT, Alerts, EAM, Maintenance, Asset Management, Unplanned Downtime, ARC Advisory Group.