Industrial IoT

Industrial IoT for Manufacturers

Digital Transformation powered by Industrial IoT

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Industrial IoT – driving transformation in manufacturing

By creating real-time visibility, you can empower your plant operatives to make data driven decisions. Companies can now prevent unplanned downtime, by monitoring the performance and health of their assets and then use predicative maintenance to service those assets before they fail.

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Increase flexibility and agility

Companies who create real visibility of their assets and operations can empower their plant operatives to make data driven decisions. By getting the right information to the right person at the right time, company can greatly increase their flexibility and agility.

Create digital twins

By creating digital twins, you can increase the reliability of your assets and operations. Achieve improved OEE through reduced downtime and improved performance. Create new business opportunities such as mass customisation, mixed manufacturing, small-batch manufacturing, and more.

Digital Twin
Increase Productivity smart factory

Reduce maintenance costs

Make your technicians more effective and give them the tools they need to lower maintenance costs by predicting maintenance issues before breakdowns occur. Detect any irregularities quickly and with ease and avoid expensive and unexpected repairs.

Reduce downtime

Predict the probability of asset failure and optimise maintenance and repair schedules to minimise disruptions and extend the life of assets. Predictive analytics detects asset anomalies and helps prevent problems before they happen.

Engineer hand using tablet, automation robot arm machine in smart factory with tablet real time vibration analysis monitoring system application for check motor failure. Industry 4th sensor concept.
remote monitoring

Monitor and control remote assets

Monitor networks, devices and asset performance and security, all remotely. Access data from edge devices that were previously out of reach. Receive detailed reports and real-time alerts on network health and device conditions.

Enable machine learning

Streaming real-time granular data from edge devices gives you greater insight and allows you to see when assets are running outside of their normal parameters. This can be modeled and automated responses can be performed based on outcomes.

Smart industry control concept.Hands holding tablet on blurred automation machine as background

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