Siemens and OnLogic Extend Industrial Edge Computing to Harsh Environments with AI and Legacy Integration
Advanced Data Acquisition and Legacy Integration
In process and discrete manufacturing, older legacy machinery often operates in isolation from central data networks. The new collaboration directly addresses this challenge by integrating flexible, customizable I/O options within the hardware, enabling seamless communication with legacy serial interfaces and controllers.
Key architectural highlights of the edge platform include:
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Zero-Touch Provisioning: Managed centrally via Industrial Edge Management, allowing global teams to deploy and scale software without on-site technical intervention.
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Mission-Critical Connectivity: Facilitates data extraction from older devices without interfering with existing PLC or DCS control networks.
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Edge-Level Security: Incorporates hardware-level protections, including Trusted Platform Module (TPM) 2.0 and Secure Boot to safeguard critical OT infrastructure against vulnerabilities.
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Energy-Efficient Design: Reduces carbon footprints and meets modern sustainability initiatives for lower-emission operations.
Scalability and Deployment in Remote Environments
Deploying applications across distributed geographies—such as mining sites, energy grids, and remote pumping stations—traditionally requires significant logistical overhead and maintenance. By containerizing workloads, the Siemens and OnLogic solution minimizes the need for on-site technicians while ensuring high-performance computing at the extreme edge. Engineers can run heavy analytical processes without interrupting ongoing production or MRO (Maintenance, Repair, and Operations) cycles.
This platform allows system architects to bridge the gap between field-level data and modern IT systems. It transforms previously inaccessible environments into data-driven nodes, helping organizations optimize machine performance, improve reliability, and scale their digital transformation initiatives regardless of physical operating conditions.
Written by: Bob Odhiambo
Bob Odhiambo is an industrial automation journalist and systems analyst with over a decade of experience covering process control and hardware infrastructure. He specializes in the operational convergence of legacy field devices and IIoT platforms in extreme manufacturing environments.