The processing requirements of these data are also complex and changeable. The business personnel need to carry out corresponding algorithm customization, which involves not only relevant programming knowledge, but also cumbersome processing flow and lengthy development cycle. In order to solve the above problems, this paper designed and implemented a stream data processing and service system based on process modeling, which provided real-time access to multi-source stream data, stream data service and stream data processing service. The system encapsulated the stream data processing process into a service provided to the user, allowing the user to drag and drop the combined stream data processing and service module, configure relevant parameters, define the process of stream data processing and service, and implement stream data processing and service-oriented tasks quickly and naturally. The processing results were pushed to other application systems in real time through service routes to meet different business needs. Case studies show that the system is more efficient, flexible, and configurable than traditional streaming data processing systems, and has advantages in terms of usability, availability, and scalability.