The national economy is a complex system composed of many different industries and interdependent industries. Scientifically identifying the correlation conduction structure of industrial carbon emissions is of great theoretical and practical significance for achieving the goal of carbon emission reduction in China. Therefore, the total carbon footprint was defined from the direct and indirect angles. Based on the energy consumption and the direct consumption coefficient of production service, the admissibility of the function improvement was created to update the input-output table and ram the data source base. Then the balanced input output industrial total carbon footprint life cycle model was designed to calculate the total carbon footprint of the industry. Using the WT index method, China's industry total carbon footprint complex networks in the new and old normal periods were constructed, and the characteristics of networks were analyzed from the point of view of the whole network, nodes status and community structure. By comparison, it was found that the structures of China's industrial total carbon footprint complex networks in the new and old normal periods were reasonable. Compared with the old normal period, the total industrial carbon footprint in the new normal period industry linked closer, the core key industries had stronger control influence, and the community structure was generally stable. At last, the paper put forward countermeasures and suggestions, which were a comprehensive consideration of the total carbon footprint of the industry, taking into account the individual and the overall characteristics, focusing on the key nodes and taking full consideration of the characteristics of the industrial community. And we hope this paper could improve the efficiency of China's industrial synergistic emission reduction in the new normal period.