Research and Application Strategy for Intelligent Car Platform Construction Based on Flink, Kafka Stream Data Technology and Deepseek

With the rapid development of big data and intelligent networked vehicles, automobile enterprises have urgent needs for the establishment of the objective function of automobile users and the solution of the optimal path. In order to solve the real-time processing operation of large quantities of data, this paper introduces Flink, Kafka and DeepSeek technology, first of all, the vehicle network data is collected; Secondly, the pre-processing of cleaning, filtering and format conversion of the Internet of Vehicles data is carried out; Then, a real-time data warehouse with Lambda architecture is built based on Flink+Kafka for stream data processing; Finally, the stream data is input into DeepSeek's powerful data analysis and mining platform for intelligent data analysis. The results show that through the powerful combination of Flink+Kafka+DeepSeek, an efficient and intelligent research and using research wisdom automotive platform can be built to help enterprises better understand the regularity of user goals and formulate scientific and reasonable optimization paths and behavior parameters.