The Industrial Internet of Things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers’ industrial applications, including, but not limited to, manufacturing and energy management.
This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is an evolution of a Distributed Control System (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize the process controls.
- Enable faster and more informed decision making
- Improve efficiency across the whole manufacturing process
- Integrate and analyze data from multiple geo-locations
- Benefit from on-demand unlimited processing power
Real time as well as historical data analytics enables Automate IIoT & Analytics to predict and inform the factory managers of the possibility of an imminent failure ahead of time in order to take the appropriate corrective measures thus preventing unexpected downtime. Implementing Predictive Maintenance not only prevents catastrophes on the plant floor from happening but also optimizes employee productivity and increases revenue by minimizing unplanned downtime and maximizing equipment lifespan.
Data analytics is useful in predictive manufacturing and is a major asset for industrial technology development. To assist manufacturers in maintaining a competitive edge in operational management control and in improving their production efficiency and yield rates, Automate has developed a data analytics solution with integrated ensemble learning capability. An advanced machine learning algorithm analyzes process data collected from production systems to provide early warning for anomalies and system failures and to predict product quality.