CIMCON Digital named a key player in the “Global Industrial Edge Computing Market”
by Orbis Research
Your plant, be it machines, pumps, and motors or any other equipment, is continuously generating critical data that could provide an in-depth understanding of your plant health. This data could alert you to potential failures down the line, enabling predictive maintenance. Data can come in various forms, such as the sound or vibrations emanating from your motors, the status of various lamps on your machines, or the amount of power being consumed. By leveraging this data for predictive maintenance, you can proactively identify and address potential issues before they escalate into costly failures.
Smart manufacturing is synonymous with the Industry 4.0. It’s a fully integrated manufacturing system that responds in real-time to the changing demands of a smart factory.
Utilizing data from the production lines of machines, CIMCON iEdge 360 IoT Platform helps increase yield, efficiency, capacity utilization and asset availability.
The platform collects and integrates your sensor data on an Industrial iEdge 360 Platform. It then transforms it before making it available to a digital machine expert to analyze in real-time to offer accurate, actionable insights. It has everything you would need in terms of interfaces, protocols, networking and compute to make this happen.
CIMcloud enables deploying Digital Transformation at scale by allowing hundreds of thousands of devices to be provisioned, authenticated, authorized and managed from a web-based management application. It provides an easy to understand and explain visualization and analytics platform that allows users to run their plant through KPI’s.
Data drives Digital Transformation and it is the data that contains invaluable information about your assets and how they are performing and if they are at risk of failing in the near or distant future. CIMdata listens to what this data is saying and using advanced Machine Learning algorithms advises plant operators of actions they should take to avoid costly machine failures to improve bottom line.
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