Abstract: A system and method are provided for predicting airborne obscurant conditions related to work machine activity in a work area. Models are developed by collecting time-series inputs for changes in airborne obscurant levels, and corresponding activity by work machines in the same work area, as correlated with observed airborne obscurant conditions comprising airborne obscurant threshold violations, intervention events, and/or a lack thereof. In association with a current operation, input signals are collected from airborne obscurant sensors having a field of view associated with the current work area, and ascertaining work machine operating parameters for work machines within or proximate to the current work area, wherein the models are used to predict airborne obscurant conditions associated with the current work area and relating to detected changes in airborne obscurant levels and corresponding activity of the work machines in the current work area.

Abstract: A system and method are provided for predicting airborne obscurant conditions related to work machine activity in a work area. Models are developed by collecting time-series inputs for changes in airborne obscurant levels, and corresponding activity by work machines in the same work area, as correlated with observed airborne obscurant conditions comprising airborne obscurant threshold violations, intervention events, and/or a lack thereof. In association with a current operation, input signals are collected from airborne obscurant sensors having a field of view associated with the current work area, and ascertaining work machine operating parameters for work machines within or proximate to the current work area, wherein the models are used to predict airborne obscurant conditions associated with the current work area and relating to detected changes in airborne obscurant levels and corresponding activity of the work machines in the current work area.