At present, the deployment of smart distribution network terminals suffers from the coexistence of insufficient coverage of sensing terminals and redundant installations. Moreover, the concept of “one terminal per distribution area” has not yet been achieved and standardized configurations guidelines for smart terminals are lacking, resulting in increased operational and maintenance workloads. To address these issues, an optimization method for terminal deployment oriented to computational simulation of smart distribution networks is proposed. First, a smart terminal deployment optimization method based on the concept of “minimal precise data acquisition combined with digital system-based computational simulation” is presented. By adopting a three-pronged strategy that includes optimizing terminal deployment, strengthening interdisciplinary coordination, and deepening data utilization, a differentiated configuration strategy for the deployment of smart distribution terminals is formulated. Then, based on the proposed deployment optimization method, a computational simulation approach for smart distribution networks is established. By constructing a distribution network computational simulation framework supported by smart terminals, the intelligence level of distribution networks is enhanced, thereby facilitating the integration and development of distributed energy resources, energy storage systems, and electric vehicles. Finally, the effectiveness of the proposed method is demonstrated through simulations.