Edgenius offers an asset condition monitoring application for operational sensors, smart devices, field instruments and control systems. It increases your data-driven asset knowledge for smarter operational decisions, and improves your plant performance

Edgenius offers an asset condition monitoring application for operational sensors, smart devices, field instruments and control systems. It increases your data-driven asset knowledge for smarter operational decisions, and improves your plant performance.

Who are typical users?

• Maintenance and operations workers, as well as maintenance management

What are typical user scenarios?

• Equipment health monitoring in a ‘self-service’ environment
  • ABB Electrical Equipment – a holistic system view of electrical assets
  • Smart sensor integration to monitor a fleet of low/medium criticality rotating equipment
• Real-time asset condition monitoring, according to NAMUR NE107, with graphical dashboards and alarms for clear timely actions
  • by asset, asset type, plant area, fleet, plant and enterprise view of asset status

Powerful asset models that utilize real-time operational data

ABB delivers powerful asset models, based on over 30 years industry experience, for sensors, smart devices, field instruments and control systems.  The asset models connect to ABB control systems (System 800xA / Symphony Plus) and third-party OPC UA systems. These asset models enable quick time-to-value for monitoring and analyzing asset activities.

Analyze and act – for faster maintenance decisions and actions

With asset condition monitoring, operations has real-time data and analysis to make faster, better decisions. Pre-configured dashboards graphically show the asset status and trigger alerts for corrective or proactive maintenance activities.

 

More predictable assets result in – reducing asset downtime and preventing equipment failures

A better understanding of performance makes assets more predictable and leads to scheduled (instead of reactive) operational activities. Using the Engineering Toolkit, you can create your own monitoring algorithm based on data analysis and modeling.