Edge Computing Platform on Kubernetes

Imagine a factory or research laboratory filled with machines, each equipped with its own sensors and controllers. Traditionally, data from these devices is sent to central servers for processing. While effective, this approach often introduces delays and network bottlenecks. Industrial Edge Computing addresses the problem by bringing computation closer to where data is generated. Instead of relying on distant servers, applications run directly on edge devices installed near the equipment, allowing for real-time decision-making. These industrial PCs can host applications that collect diagnostics, perform analytics, or even take direct control of equipment. For example, a ventilation system can adjust airflow more efficiently by running advanced control algorithms locally on an edge device using nearby sensor readings.

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Advanced Control Algorithm on Edge

Large technical systems such as cooling plants, ventilation systems, and safety installations must operate continuously around the clock. These systems rely on programmable logic controllers (PLCs), specialized industrial computers built to execute precise instructions reliably for years without interruption. Designed with safety and stability in mind, PLCs form the backbone of industrial automation. They manage essential functions, such as circulating cooling water for accelerators, adjusting ventilation fans to maintain safe conditions in underground tunnels, and activating interlocks to shut down equipment immediately if unsafe conditions are detected.

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