Machine Intelligence
AIII Machine Intelligence™
Development
AIII is developing this offering. Scope and suitability are assessed for each production environment.
You cannot improve what you cannot see.
AIII Machine Intelligence™ is designed to help manufacturers see how existing machines are operating. Operational information from machines, PLCs, industrial networks, utilities and supporting production systems can be organised into dashboards, metrics, historical records, alerts and analytics. Available visibility depends on the machine interfaces present, the quality of the source data and the scope agreed for each site.
Problems addressed
- Limited visibility into production performance.
- Unknown causes of downtime.
- Poor machine utilisation.
- Manual production reporting.
- Disconnected operational data.
- Reactive operational decision making.
- Lack of historical production information.
- No practical foundation for future industrial AI.
Data Acquisition & Reporting
Production data acquisition
PLC integration
OPC-UA integration
MQTT data collection
Production dashboards
OEE dashboards
Downtime reporting
Machine utilisation reporting
Historical data collection
Alarm and notification systems
Utility monitoring
Benefits
Designed to help manufacturers:
- See production activity closer to real time, within the limits of the available machine interfaces and agreed scope.
- Understand where downtime occurs.
- Work toward improved machine utilisation.
- Make evidence-based operational decisions.
- Reduce manual reporting.
- Identify production bottlenecks.
- Pursue improvements in production efficiency.
- Build confidence in operational decision making.
- Establish a foundation for future automation and AI.
- Make better use of existing production assets.
Engineering Principles
- Collect information with a clearly defined operational purpose.
- Prioritise actionable information over excessive data collection.
- Preserve existing production systems wherever practical.
- Use open industrial communication standards where appropriate.
- Present information in a form that supports rapid decision making.
Engineering Boundaries
- Replacing functioning machinery.
- Collecting data without operational value.
- Creating unnecessary dashboards or reports.
- Artificial intelligence implemented without reliable operational data.
Most factories already have the machinery they need. What they often lack is visibility.
Discuss this offering
Start with the production problem, not the technology.