Building an AIoT Architecture for Predictive Maintenance
Predictive maintenance requires a connection between physical equipment and intelligent software.
A typical AIoT architecture can contain several layers.
- Sensors
Industrial sensors collect information about equipment condition and operating behavior.
- Connectivity
IoT gateways and networks transfer data from physical equipment into digital systems.
- Data Pipeline
Machine, production, and maintenance data can be collected and organized for analysis.
- Edge Processing
Edge systems can process relevant information close to the equipment when low-latency analysis is required.
- AI & Analytics
Models can identify abnormal patterns, equipment degradation, and other signals associated with potential maintenance requirements.
- Maintenance Intelligence
Insights can be connected to maintenance planning and operational workflows.
The architecture can be summarized as:
Equipment → Sensors → IoT → Data → AI → Prediction → Maintenance Decision
The real value comes from connecting equipment condition with broader operational context.
🌐 https://apertureventurestudio.com/
Top comments (0)