LogixEdge Controllers Combine Logix Control and Edge Computing
Running deterministic control alongside visualization, analytics, and other software usually means adding separate edge devices and computing hardware to the line. Rockwell Automation's LogixEdge controllers are industrial PC-based controllers that combine a Logix control engine, edge computing, and containerized application support on a single platform, so control and software workloads run on the same device close to production. Consolidating that hardware can lower engineering effort, simplify maintenance, and reduce lifecycle costs.
Applications
- Real-time machine control
- HMI and visualization
- Edge analytics and machine learning
- Containerized application hosting
Industries
- Processing
- Discrete manufacturing
- Software-defined environments
Who It's For
- Operations consolidating control and edge computing hardware
- Distributed sites needing consistent software deployment and updates
- Logix systems with existing remote I/O or non-CIP motion devices
- Plants preparing for Cyber Resilience Act requirements
Features:
- Logix memory: Up to 5 MB
- Workload memory: 120 GB, including a secured Linux guest operating system
- Networking: Dual 1 Gbps front Ethernet ports with dual IP addresses; one port assigned to the Logix control engine, one to workloads
- Remote I/O compatibility: POINT I/O, PointMax, Compact 5000, FLEX 5000, and other remote I/O platforms
- Motion: Supports non-CIP motion devices
- Platform: Industrial PC-based controller with scalable Logix control engine
- Protocols (via FactoryTalk Optix): OPC UA, MQTT, and Modbus TCP
- Security: CIP Security alignment, Syslog support, and Cyber Resilience Act readiness
- Containerized workloads: FactoryTalk Optix, MTP applications, customer-hosted web servers, and other third-party applications
- Integrated FactoryTalk Optix support for visualization, data modeling, and third-party system connectivity
- Integrated connectivity and data access for IT/OT alignment
- Edge data processing and contextualization for analytics, machine learning, and AI workflows
- Container-based software management for deploying, updating, and scaling applications across distributed operations
- Can shorten deployment time and simplify lifecycle management
- Fewer standalone edge devices and computing infrastructure needed
- Works alongside existing Logix-based systems
Rockwell Automation
Milwaukee, WI
(414) 382-2000
rockwellautomation.com
Contributors:
This piece was created with the help of generative AI tools and edited by our content team for clarity and accuracy.