As the number of electric vehicles in cities increases, the charging demand has surged. Optimizing deployment planning of electric vehicle charging piles is of great significance to safe charging. Based on the analysis of the factors affecting the planning of electric vehicle charging piles and the spatial distribution characteristics of electric vehicles, this paper proposes a new planning method for urban intelligent networked electric vehicle charging piles that takes into account the charging safety. Using the point clustering algorithm, the optimal division of the urban electric vehicle service range is calculated, and then the central point selection algorithm is employed to allocate the optimal site. Taking the actual electric vehicle charging pile planning in one of the central cities as the experimental example, and comparing with tow of existing charging pile planning methods, the calculation results show that the method proposed in this paper has better planning effects and obtains more reasonable service regional division, balanced services amount, and shorter charging path distance, thus ensuring the safety of charging pile operation and service capabilities.