Simulating the innovation resilience of industrial enterprises is an important direction for China to strengthen its innovation system's sustainable capacity. With A-share listed industrial enterprises as research sample from 2013 to 2023, digital proximity degree was constructed based on multidimensional proximity theory and product space theory firstly, and then panel data econometric model was utilized to explore the influential mechanism and mediating effect of digital proximity on innovation resilience. Results are as follows. Firstly, digital proximity's empowering effect shows such U-shaped curve which the turning point is 0.551. Moreover, it remains robustness in a series of robust tests. Secondly, digital proximity's empowering effect indicates significant heterogeneity. Concerning regional heterogeneity, these effects are U-shaped curve for both eastern and central enterprises while it shows weak and not significant. Meanwhile, for state-owned and non-state-owned enterprises, they both show U-shaped curves and the turning point of state-owned enterprises is slightly more than that of non-state-owned enterprises. The turning point for large-scale enterprises is lower than that of small and medium-sized ones. For higher financing-constraint enterprises, it is lower than that of lower financing-constraint ones. The moderating effect of corporate internal control quality is non-negligible. Thirdly, among the four mediating effects of dynamic capacity, two of them (OPEN and MAR) are positive mediating effects while the other twos (TFP_OP and Spill) indicate negative effects. Therefore, emphasis should be placed on the optimization of digital proximity mechanism in the digitalization process of industrial enterprises and the positive empowering pathways of digital proximity to enhance innovation resilience through dynamic capabilities, which provides new driving forces for stimulating the technological innovation resilience capacity of China's industrial enterprises.