Lansub Edge Platform

Introduction In the era of Industry 4.0, smart factories rely on real-time data, AI-driven automation, and seamless cloud

Introduction

In the era of Industry 4.0, smart factories rely on real-time data, AI-driven automation, and seamless cloud integration to optimize manufacturing operations. Edge platforms play a crucial role by enabling high-speed data collection, intelligent decision-making, and predictive analytics—right at the factory floor.

The Role of Edge Platforms in Smart Manufacturing

Edge technology bridges the gap between industrial machinery and digital intelligence. Unlike traditional cloud-based solutions, Edge computing processes data locally, reducing latency and enhancing real-time decision-making.

Core Features of Our Edge Platform

Collect PLC & Machine Control Data

Our platform supports universal data collection from MTConnect, OPC-UA, Modbus, and proprietary protocols like Fanuc, Siemens, Haas, and Mitsubishi.

Connect & Integrate External Sensors

Enhance machine capabilities with digital and analog IO sensors for legacy equipment, ensuring comprehensive data acquisition.

Automate Data Transformation

Standardize and transform machine data, creating a single source of truth for production monitoring, analytics, and reporting.

Leverage High-Frequency Data

Collect 1 kHz machine control data to power AI-driven predictive maintenance without the need for additional sensors.

Deploy Custom Edge Applications

Run machine learning models directly on the Edge, detect failures in real-time, and trigger automated machine responses for increased efficiency.

Secure & Scalable Cloud Integration

Seamlessly stream real-time machine data to the Cloud for centralized analytics, reporting, and AI model training.

Flexible & Remote Deployment

Deploy Edge solutions on dedicated hardware, virtual machines, or local servers while managing everything remotely for ultimate flexibility.

How Edge Technology is Revolutionizing Manufacturing

By implementing Edge platforms, manufacturers can:

  • Reduce unplanned downtime with AI-powered predictive maintenance.
  • Enhance quality control through real-time defect detection.
  • Optimize energy usage by monitoring and adjusting machine performance.
  • Improve supply chain efficiency with instant data-driven insights.

Conclusion

Edge platforms are reshaping the future of manufacturing by delivering real-time data, automation, and AI-powered insights. By adopting Edge technology, smart factories can significantly boost productivity, reduce operational costs, and stay ahead in the competitive manufacturing landscape.

Ready to revolutionize your manufacturing operations? Explore the power of Edge technology today!