Industrial Equipment Monitoring Made Simple.

 

Stop Costly Manual Checks By Deploying IoT At Scale. you will never have to send a engineer to check the status of your machinery again.

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In the current trend toward digitalization, manufacturers increasingly rely on a range of technology platforms to help streamline and accelerate their production processes. Artificial Intelligence (AI), data analytics, or Digital Twin (DT) tools are more and more deployed. Organizations aim at a better understanding and usage of Industrial Internet of Things (IIoT) data. In general, data generated by IIoT devices can provide companies with deep insights enabling them to build products faster and more effectively. However, the difficulty resides in the integration of these technologies: often companies struggle with capitalizing on the information they have gathered. A future-proof network in which Information Technology (IT) and Operational Technology (OT) are fully connected and secured to the highest standards allows you to manufacture faster and cheaper than your competitors. It is the backbone of industrial improvements like edge computing, predictive maintenance, remote commissioning, DigitalTwin and advanced analytics.
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Asset condition monitoring

Asset condition monitoring keeps equipment in good shape through predictive maintenance, while preventing over-maintenance and the premature replacement of parts.  This not only optimizes operations and ensures facilities are not experiencing downtime due to insufficient maintenance, but also allows manufacturers to keep machines running for a longer period.

Digital Twins

Digital twins offer manufacturers a plan for the future through “what if” scenarios. The resource grants them the ability to create a virtual model or digital representation of an asset or a particular aspect of an operation that can be used to determine how to streamline the production environment without physically changing any processes. A digital twin of an asset produces useable insights for both process and factory, giving manufacturers full control to implement change and foster a fully integrated view of an asset throughout its lifecycle. 

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