As an industrial manufacturer, you know that instrumenting your production lines and products
with sensors is a unique business opportunity to reinvent and transform yourself.
Your value chain can be transformed from product-centric to customer-centric. Data-enabled offerings
and valuable feedback into engineering and product design are within reach.
Today's IoT platforms are great in monitoring and visualizing huge amounts of data that are constantly
created by connected assets. Real competitive differentiation, however, is gained when these data can be
understood, acted upon and monetized.
Does your IoT Platform look like this?
Modern machinery comes with embedded sensors and computer chips that send constant
readings from these machines. Preventing asset failure by analyzing these data to
identify patterns and predict issues before they happen, is a promising use case for
manufacturers and asset managers.
Suppose, you run an IoT platform that constantly collects production asset data and
monitors pressure, temperature, vibrations and more to visualize asset health in real-time.
But for predicting production issues before they happen, you need more: Business data need to be added
to provide context to the machine data. This is the basis for predictive analytics to predict future failures.
Empowering your favorite IoT platform is easy: Visit the blueprint market place, select profiler for your IoT
platform, ERP and MES system, optionally choose a rule engine to add logic, pick a predictor engine and determine
the maintenance graph (or any other data store) as your data destination. Arrange these components into a data workflow.
Feed Predictive Works' big data fabric with this blueprint and execute it. Then, you are ready to
perform root cause analysis and customize your maintenance activities for each machine or even for
each component on a machine.