With the development of big data, in addition to the needs of business functions such as vehicle information and record forwarding, the monitoring of vehicles also requires analysis and statistics of real-time vehicle data. In order to solve this problem, a fusion model scheme is proposed that combines the business platform and the algorithm platform through the technologies of Java and Python integration. The Python script is called in the Java code through the command line, and an Application Program Interface (API) is provided externally for the business platform to call. The solution integrates the business platform and the algorithm platform, and at the same time, they are deployed as independent services, decoupled from each other, and better monitoring vehicle information, real-time data, fault information, and operating conditions. The design and implementation of the system are in line with the digital transformation needs of the vehicle industry in the era of big data. The technical optimization scheme of the vehicle monitoring system is proposed, and the technical design of the fusion model is elaborated in detail. The application of the fusion model in vehicle monitoring system is of great value to the intelligent development of vehicle industry.