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🧪 Iot Iot Data Analytics Simulation

Interactive IoT analytics simulator: a fleet of sensor nodes streams noisy readings to a central hub that computes a live exponentially-weighted mean and standard deviation and flags anomalies by z-score, exactly like a real edge-analytics pipeline.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted

This simulation demonstrates how IoT devices generate data and how that data is analyzed to gain insights in real time. A ring of sensor nodes transmits noisy readings to a central analytics hub on a fixed interval; the hub maintains a live exponentially-weighted mean and standard deviation for each node and flags any reading whose z-score crosses a threshold as an anomaly, mirroring the streaming-analytics pipelines used in real industrial IoT deployments. Tune the fleet size, report interval, EWMA smoothing factor and anomaly threshold, watch packets travel across the network in 3D, and inject a deliberate spike to see the detector catch it live.

⚙ Under the hood

This simulation demonstrates how IoT devices can generate data and how that data can be analyzed to gain insights. It focuses on the application of data analytics in an Internet of Things (IoT) context.

IoT Data Analytics

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install