In recent years, China has faced enormous pressure to reduce carbon emissions. As one of the pillar industries of China’s economy, the tobacco industry has been a high-energy and inefficient industry for a long time. However, the carbon emissions generated by the tobacco industry are also increasing the greenhouse effect. Therefore, this research uses information physics system technology to conduct real-time sensor monitoring and cloud computing on carbon emissions of the tobacco industry and uses an ant colony algorithm to perform multiobjective optimization based on ‘carbon emissions of construction period cost’. The experimental results show that, from the perspective of total carbon cost design, the carbon cost and carbon emission reductions obtained through process decomposition accounting provide a data basis for measuring the emission reduction effect of different low-carbon technology paths using ‘optical storage, direct and flexible’ path optimization. Emission reduction can be seen from three emission reduction technology paths. The supercritical unit technology path of the tobacco industry can reduce 225 000 tons of carbon dioxide emissions annually, while carbon capture technology can reduce 120 000 tons of carbon dioxide emissions annually. The emission reduction of carbon dioxide through online monitoring technology is limited, less than one-tenth of the first two technical approaches. The total carbon cost of carbon dioxide online monitoring technology is 1 953 383 900 yuan, with substantial economic value.