At the core of every intelligent manufacturing application lies high-fidelity data. AI4M’s High-Speed PLC / IoT Data Acquisition Module enables the collection of sub-second cyclic machine data, making real-time predictive analytics not just possible—but reliable and actionable.
Traditional SCADA or historian systems typically log data at intervals of 10–60
seconds—far too slow to capture fast-evolving patterns in modern automated systems.
AI4M’s custom-built module interfaces directly with PLCs, motion controllers, and IoT
sensors to stream data at millisecond-level resolution, with precise timestamps and low
latency.
This high-resolution data forms the foundation for advanced AI applications,
including:
- Predictive Maintenance based on subtle vibration, torque, or temperature patterns
- Anomaly Detection from high-frequency current or speed fluctuations
- Quality Prediction using live feedback from tightly coupled process variables
- Root-Cause Analysis powered by synchronized machine and sensor data across the line
Our data capture modules currently support seamless integration with:
- Rockwell Automation (Allen-Bradley)
- Siemens
- Mitsubishi Electric
This allows plug-and-play connectivity in most modern industrial environments without
major system overhauls.
- Real-time data ingestion via native protocols
- MQTT, OPC UA, REST, and tag-based acquisition
- Stream-ready pipelines for model inference and dashboard integration
- Seamless interoperability with AI4M’s EnableAI and analytics stack
Foundation of Predictive Intelligence
Whether you're building a smart factory, optimizing a high-speed packaging line, or rolling out
AI across legacy machines, predictive intelligence is only as good as the data it learns from.
AI4M ensures you don’t miss the patterns that matter.