Build a Custom Digital Twin Dashboard Using AI in Minutes

window.awbMockup = { modelAgainstActual: "Build a digital twin dashboard showing predicted against measured values for each modelled output over time, deviation in absolute and percentage terms, periods where deviation exceeded tolerance, the input conditions during those periods, and a current status showing whether the twin and the asset agree.", simulation: "Build a simulation dashboard where an engineer adjusts inputs such as setpoints, load, feed rate or ambient conditions and sees the predicted effect on output, efficiency, throughput and any constraint being approached, comparing several saved scenarios side by side with the current operating point marked.", deviationDetection: "Build a twin deviation dashboard highlighting where measured behaviour has drifted from prediction, ranking deviations by magnitude and duration, showing which modelled component the drift is associated with, deviations that developed gradually against those appearing suddenly, and previous deviations that preceded a known fault.", modelCalibration: "Build a model calibration dashboard showing prediction accuracy per output over time, whether accuracy is degrading, the operating conditions where the model performs worst, parameters most recently recalibrated with the resulting change in accuracy, and the data periods used for each calibration."};