Edge
Connect
Real-time Data Connectivity for Industry 4.0
IOTech Edge Connect is the first Industry 4.0 connectivity solution designed specifically for time-critical and resource-constrained industrial edge systems. The technology is used as a high-performance embedded OT connectivity solution by some of the world’s leading industrial OEMs.
It provides a powerful edge software solution that simplifies the real-time acquisition of data from OT systems. Edge Connect supports key capabilities such as multi-protocol Southbound OT device connectivity, real-time data acquisition and aggregation, edge data processing, and data normalization to an Industry 4.0 standard OPC UA data layer that can be accessed by local edge applications or remote Cloud/IT systems.
Efficient Device Management with MQTT
An easy-to-use device management API based on MQTT is also provided to help on-board and manage the lifecycle of new connected device endpoints. MQTT can also be used to stream data to other edge applications or Cloud/IT endpoints or receive commands from external applications.
Edge Connect delivers these capabilities while also supporting the following key non-functional properties:
- Small memory footprint
- Ultra-low latency data processing
- Predictable and deterministic real-time execution
- Easily ported legacy hardware and/or operating system
Comprehensive Configurable Industrial OT Connectivity
Provides extensive pluggable “out-of-the-box” data connectivity for many of the most common Southbound OT (e.g. Modbus, OPC UA, BACnet, EtherCAT, EtherNet/IP, PROFINET, s7, and many others) industrial protocols used by the leading device manufacturers including:- Allen Bradley, Siemens, Rockwell Collins, Schneider Electric, Johnson Controls, and Beckhoff, etc.
View the range of device connectors for Edge Connect
Simplified OT Connectivity and Real-time Data Acquisition
Easy Integration via Normalised OPC UA Data Layer and APIs
Edge Central aggregates your edge data for sensor fusion and is delivered with key data processing services such as a scheduler service, rules engines, analytics packages and dashboarding tools.
Also available are advanced services for collecting and managing alarms, and a robust edge data historian service that can store and manage long-term data acquired and created by the platform.
If you have your own analytics or preferred third-party AI/ML package, no problem – Edge Central is designed for easy integration with external services.