Digital Twin Data-Link Simulator
Watch a spinning industrial asset and its digital twin drift apart over an unreliable telemetry link. Tune update rate, packet loss and the twin's sync strategy (hold-last, extrapolate, interpolate) and watch the angular error settle.
This simulation explores the core concepts of digital twins — virtual representations of physical assets — and how they rely on a real-time data connection to stay accurate. A physical rotor spins continuously while its digital twin only receives updates through a lossy, latent telemetry link: tune the sensor's update rate, the link's packet-loss probability and one-way latency, and choose how the twin behaves between packets (hold the last reading, dead-reckon forward from the last known velocity, or smoothly interpolate). Watch the two rotors visibly desynchronize as the link degrades, and read the live angular-error and packet-delivery stats that quantify exactly how connectivity and sensor configuration drive a digital twin's accuracy and responsiveness.
This simulation allows you to explore the core concepts of digital twins – virtual representations of physical assets – and how they rely on robust connectivity for real-time data exchange. By manipulating network parameters and sensor configurations, you can observe how these factors impact a digital twin's accuracy and responsiveness.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install