The traditional single-dimensional information management model (such as only focusing on vehicle fault diagnosis) has disadvantages such as data fragmentation, high processing delay, and single application scenarios, making it difficult to meet the comprehensive operational requirements of intelligent vehicles in the Internet of Things environment. Against this backdrop, building a management system structure that integrates diverse information and enables high-speed and low-latency and intelligent application has become a core issue in the development of the intelligent automotive industry. Based on this, this paper first analyzes the core requirements of the system, then elaborates on the overall architecture design, and finally discusses the key technical support, providing a reference for related research and practice.