OPC Server Rockwell

dataFEED OPC Server Rockwell is a dataFEED OPC Suite component and bundles the functionalities for fast and convenient access to process and diagnostic data in Rockwell Automation Allen-Bradley ControlLogix and CompactLogix controllers. Configure the OPC address space by simply browsing the controllers.

As an OPC Classic Server (or optional OPC UA Server) dataFEED OPC Server Rockwell enables the integration of Allen-Bradley controllers into modern industrie 4.0 solutions. Optionally, production data can be transferred via the MQTT, REST or MindConnect protocols to IoT Cloud or Big Data applications on Microsoft Azure IoT, Amazon AWS, IBM Watson IoT, MPDV MIP and Siemens MindSphere platforms.

Easy Access to Rockwell Controllers

• Read and write access to data in Rockwell controllers
• Quick and easy integration into OPC Client applications, such as SCADA or ERP systems
• No changes to control program required

Graphical User Interface Including Namespace Browsing

• Easy-to-use graphical configuration interface
• Intelligent wizards for configuration setup in just 3 clicks
• Configuration of OPC Namespace by browsing the namespace of Rockwell controllers
• CSV import of existing configurations from software applications like SCADA or process control systems

Support of OPC UA (Unified Architecture)

• Optional expansion through dataFEED OPC Organizer UA
• Integration of non-OPC UA-ready components like Rockwell PLC-5 controllers into OPC UA applications
• Easy integration of legacy and new controllers into Industrie 4.0“* solutions
• Cost savings through continued use of OPC Classic components
• Support of all security mechanisms defined by OPC UA standard

Gateway to IoT Clouds

• Optional expansion through dataFEED MQTT Connector
• Integration of automation devices in IoT cloud applications using MQTT Publisher functionality, e.g. in Microsoft Azure Cloud
• State-of-the-art security by SSL/TLS support, including certificates

_{*Industrie 4.0 is a German government-driven initiative for implementing an industrial "Internet of Things"}