Measurement – Advanced Sensor Data Processing & Analytics Features: • Signal Processing: 12+ smoothing methods (Kalman, Savitzky-Golay, median, filters) • Data Validation: outlier detection with Z-score, IQR, thresholds • Scaling & Calibration: interpolation, offset, range validation • Statistical Analytics: repeatability, stability, standard deviation monitoring • Simulation Mode: built-in signal generator with noise injection • Container Integration: seamless with MeasurementContainer for data flow • Event-Driven Architecture: EventEmitter-based notifications • Configurable Logging: multi-level, schema-based config Integration: Provides robust sensor data streams for industrial automation with TensorFlow.js-ready outputs.

Readme 204 KiB