Abstract: A system for measuring the emission mass flow rates of pollutants that uses a flow unit remote from the emission site and multiple layers of physics-informed neural networks, or PINN. The system allows for continuously monitoring, measuring, and quantifying of a variety of greenhouse gas (GHG) emissions (e.g. CH4, CH3Br, C2H6, C3H8, COx, NxO, SOx, SF6, H2, MOX, HCHO, VOC, and HC). The systems can include measuring the flow of GHG emissions that are emitted by, oil and gas facilities, industrial farming facilities, manufacturing facilities, waste management facilities, and high-density residential buildings/complexes and other locations of interest.

Abstract: An apparatus for measuring the wind velocity and wind direction that uses a three dimensional 360-degree rotating ambient flow intake assembly, a multiphase flowmeter and a blower, and establishes wind functions and further incorporates a neural network to reduce Gaussian noise. Such an apparatus can have high utility in systems that detect emissions.