Abstract: A cabin air quality monitoring system including a communications interface configured to receive snapshot information representing in-cabin air quality of a vehicle, a memory configured to store the snapshot information received by the communications interface and a processing circuitry configured to batch the snapshot information stored to the memory to form batched snapshot information, to execute, using the batched snapshot information as an input, a trained machine learning model to obtain a model output that includes cabin air filter replacement information, and to transmit, via the communications interface, the model output to computing hardware of the vehicle.

Abstract: Systems and methods for designing and optimizing tools are provided. A computational fluid dynamics (CFD) simulation model implemented by a processor is provided to simulate a fluid flow inside the tool to generate a particle density distribution of fluids inside the tool. The particle density distribution is converted to a spatial distribution of fluid concentration of the mixture which allows for high resolution visualization of fluid flow in the tool.