Abstract: The networked and intelligent manufacturing industry is an important part of China's new round of scientific and technological revolution, and it is the main path for the transformation and upgrading of the manufacturing industry. In the past 20 years, China as a major manufacturing country, has significantly improved its manufacturing scale, manufacturing quality and international competitiveness, and even surpassed developed economies in some fields. At this stage, the primary goal of China's economic development strategy is still industrialization, especially industrial intelligence with intelligent manufacturing as the core. Under the new wave of technology, new technologies have had a profound and significant impact on manufacturing process technology, production methods, operation mechanisms, organizational processes, management models, and business models, which has made China's manufacturing industry change from traditional manufacturing to the process of accelerating the transformation of the modern manufacturing industry, it can no longer stick to the intelligent development paradigm of developed economies, walk out of the intelligent development path different from developed countries, gradually change from a chaser to a leader, and realize the transformation from a manufacturing power to a manufacturing power. The transformation of intelligent manufacturing seeks to lead the transformation of the global manufacturing industry. Due to the status quo of China's intelligent manufacturing technology and industrial segmentation, the development of industrial intelligence has been greatly inhibited. Manufacturing enterprises in different regions and industries have different levels of technical capabilities, and the external environment faced by enterprises is also different. intelligentization. Therefore, in order to achieve intelligent transformation and upgrading, manufacturing enterprises need to formulate an appropriate intelligent development model according to their actual technical level. By constructing a theoretical framework of the relationship between the technical capabilities and development models of intelligent manufacturing enterprises, the development model of China's intelligent manufacturing enterprises is analyzed, and on this basis, corresponding theoretical models and panel probit measurement models are constructed. of listed companies, and deeply explored the inherent relationship between the technical capabilities and development models of China's smart manufacturing enterprises. The results show that Chinese manufacturing enterprises are still in the early stage of intelligent transformation, and intelligent manufacturing enterprises can be roughly divided into three development modes: parallel mode (networked and intelligent development at the same time), network progressive mode (prioritized network development), intelligent Progressive mode (prioritizing intelligent development). The technical capability of an intelligent manufacturing enterprise has a significant impact on the choice of its development model. The study found that between the parallel mode and the progressive mode, with the improvement of their technical capabilities, enterprises will be more inclined to choose the parallel mode; it will tend to choose the intelligent progressive model, with the improvement of its technological innovation ability, and it will tend to choose the network progressive model; the support of policies and financing promotes the differentiation of enterprises' choice of models, and policy support and financing capabilities will The selection of the parallel mode has a positive regulatory effect, and the selection of the progressive mode has a negative regulatory effect. In the mode selection of network progression and intelligent progression, policy support and financing capacity will have a positive regulatory effect on network progression and a negative regulatory effect on intelligent progression. The model selection conforms to the above characteristics in terms of enterprise nature, industry characteristics, and geographical distribution, but shows a certain degree of heterogeneity. Among them, non-state-owned enterprises have a more significant impact on technological innovation capabilities, and labor-intensive enterprises are more inclined to choose network progressive mode, the eastern region is more inclined to choose the parallel mode.