Architecture to integrate Predictive Maintenance with IBM IOT platformAsset-intensive industries, such as oil and gas, mining, and energy and utilities, use complex equipment such as compressors, haul trucks, and turbines, in their day-to-day operation. Any unplanned downtime or major unforeseen failure of this equipment has a direct impact on production downtime, which affects the financial performance of the organization. Potential component and equipment failure, plus machine health of in-service equipment needs to be monitored by identifying early signs of possible downtime. The goal is to maximize the up-time of the component/equipment.

The IBM Predictive Maintenance and Quality (PMQ) solution helps industries monitor, analyze, and report on information that is gathered from high-value assets and recommend maintenance activities before assets start to go South.

IBM® Watson™ IoT Platform provides powerful application access to IoT devices and data to help industries to rapidly compose analytic applications, visualization dashboards, and mobile IoT apps. Platform also provides powerful device management operations, and store and access device data, connect a wide variety of devices and gateway devices.

It is obvious that an Analytic platform like IBM PMQ solution will need to be engaged by a platform that specializes in Connect, Collect and Management of Devices. We lay down the integration of these two unique offerings in our recipe and trust it ensures rapid deployments for your industrial solutions.

Join The Discussion

Your email address will not be published. Required fields are marked *