Industrial Operating System for Digital Twins: Real-Time AI-Driven Production Control скачать в хорошем качестве

Industrial Operating System for Digital Twins: Real-Time AI-Driven Production Control

At Digital Twins Day, 3dverse shared the stage with Laurent Mismacque from Siemens to demonstrate concrete, production-grade digital twin use cases. In this session, we showcase how a complete industrial production line can be virtualized in a live, operational environment—where industrial systems, real-time data, and AI converge into a single collaborative space. 🛑 As shown in the video, an operator clears a red signal after an issue is identified directly within the digital twin—illustrating how teams can move beyond observation to real-time intervention. 🚦 Through bidirectional, real-time communication between the digital twin and operational systems, organizations can shift from passive monitoring to active control: Detect issues as they emerge Coordinate responses across teams Mitigate risks before production is impacted Why this matters for OEE and operations Zero-latency intervention through real-time, bidirectional system communication HSE integration, with safety incidents managed directly within the digital environment AI behavior analysis, enabling a shift from “what happened” to “what happens next” This is not about visualization. It’s about anticipation, decision-making, and closing the loop between insight and action—before downtime and operational losses occur. If your organization is ready to move digital twins from pilot projects to live operational control, let’s start the conversation.