Machine Alarms & AI Troubleshooting

About the Product

This application bridges the gap between the machine park and the human operator. By capturing real-time PLC alarm streams via MQTT or OPC UA, it links cryptic error codes with human readable descriptions and actionable instructions. It ensures that critical machine stops are communicated instantly to the right personnel, along with the right information for resolution. AI enhances this use case with context-based summaries and the possibility to convert and assess unstructured feedback from the operator into a structured knowledge base.

Typical challenges

Hidden alarms: Machines stopping without operators immediately noticing the fault signal.
Cryptic error codes: PLC messages that are difficult for operators to interpret without technical manuals.
Lack of history: Difficulty in tracking intermittent faults that clear themselves but indicate underlying issues.
Information overload: Key alarms getting lost in a sea of non-critical system messages.

Business impact

Minimized Unplanned Downtime: Real-time alerts ensure that machines are not left idle after an automatic stop or machine error.
Reduced MTTR: Direct access to machine documentation and automatically improving knowledge bases ensure fast resolution.
Knowledge retention & employee enablement: Converting employee knowledge with AI into structured knowledge databases makes best practices easily accessible to any employee.