What is Edge Computing and why it's crucial for Industry 4.0

Edge ComputingIndustry 4.0IIoT

Practical guide to implementing Edge Computing in industrial settings: how to process data close to the source for faster decisions, save bandwidth, and improve security of sensitive data.

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Elements

  • Industrial gateways certified for production environment
  • Reliable and segmented local network
  • Compatible IIoT sensors and devices
  • Centralized monitoring system
  • Scalable IT infrastructure

Core technologies

  • Edge device management platform
  • Container orchestration system
  • Real-time data analysis software
  • Industrial communication protocols
  • Multi-level security system

Results

  • 60% reduction in latency for critical operations
  • 40% decrease in data transmission costs
  • 30% increase in plant availability
  • Response time under 10 milliseconds for critical applications
  • 25% energy savings thanks to local optimization

    • Industrial Edge Computing architecture

    The implementation is structured on three interconnected levels. The operational level collects data from sensors and machinery through robust edge gateways certified for the industrial environment. The intermediate level locally processes critical data for process control, using containers for maximum application flexibility. The upper level manages the integration with the cloud for advanced analytics and long-term storage, keeping only sensitive data or data necessary for real-time operations locally.

    Management and maintenance

    Managing the edge infrastructure requires a systematic approach. Device configuration and updates are automated through centralized management tools, reducing manual interventions. Continuous performance monitoring allows for proactive identification of potential issues. Security is ensured through network segmentation, automatic software updates, and encrypted communication protocols. The architecture's scalability allows adding new edge nodes according to production needs.

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