Autonomous situation awareness with ambient and reflexive context and anomaly-driven predicates

Abstract

Systems, methods, and other embodiments associated with autonomous situation awareness based on ambient intelligence and permuted binary-state predicate classification are described. In one embodiment, a method includes accessing a stream of multivariate observations of system status and command variables. The method supplements the multivariate observations with ML estimates of ambient variables based on the system variables and command variables. The method determines anomalies of the system variables based on residuals between observed values and ML estimates of the system variables based on the supplemented observations. The method evaluates the anomalies with predicates to select one of the command variables to be adjusted. The method generates a suggestion for the selected command variable based on ML predictions of future values for the system variables. And, the method generates an electronic alert to adjust the controls of the asset to match the suggestion for the selected command variable.