Confronted with the disruptive spatio-temporal transformations triggered by the deep penetration of digital and intelligent technologies and the sudden changes in the global economic and trade landscape， the theoretical framework for technology innovation management urgently requires reconstruction. It integrated disciplines such as philosophy， physics， and management to analyze the essential characteristics of breakthrough technological innovation across multiple dimensions of time and space. It explored the influence of time， space， and their coupled effects on breakthrough technological innovation， as well as the multi-layered spatio-temporal attributes， intrinsic logic， and theoretical mechanisms of breakthrough technological innovation in the context of the digital intelligence era， particularly in terms of time management and spatial management. Based on interpreting the “spatiotemporal context” of breakthrough technological innovation from a network perspective， it constructed three core mechanisms. First， a three- dimensional interaction mechanism of spatio-temporal reconstruction， which includes spatio-temporal compression， spatial decoupling， and interface reconstruction， to reveal the spatio-temporal restructuring of breakthrough technological innovations in the era of digital intelligence. Second， a ternary synergy mechanism of evolutionary path， which consists of the fractal evolution of technological trajectories， the quantum-state reorganization of innovation resources， and the topological reconstruction of value networks， to uncover the evolutionary pathways of breakthrough innovations. Third， a loop coupling mechanism of the dynamic capability system， which involves spatio-temporal sensing， shaping power， and transition force， to reveal the dynamic capability framework for managing breakthrough innovation. The conclusion develops a spatio-temporal management analytical framework for breakthrough technological innovation， which fundamentally addresses the challenges posed by the digital intelligence era to traditional innovation theories， and provides a theoretical framework for understanding the complexity and non-linear emergence of such innovations.