Digital Twin Enabled Methane Emission Abatement Using Networked Mobile Sensing and Mobile Actuation
Di An, YangQuan Chen · 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI) · 2021
Digital Twin is a revolutionary concept from Industry 4.0 for solving physical experiments that cannot frequently repeat due to high cost and safety concerns. It is well known that increasing methane emissions have caused potential global warming, which doesn't satisfy carbon neutralized statement. We proposed a Digital Twin enabled methane emission abatement framework using drones to update real-time data to measure methane emissions to address these issues. We validated our Digital Twin by separated subsystems of targeting in methane emissions mapping and prediction. The preliminary results demonstrate that Digital Twin is an efficient tool in abating methane emissions and contributes efforts to global climate change.