A large wind tunnel has a large amount of real-time data during operation, and there is an urgent need to develop a real-time database management system to achieve data collection, storage, and management functions, in order to meet the data usage needs of various data application systems. To reduce project development risks, first develop a real-time data acquisition and storage prototype. A three-level storage architecture prototype was designed, including on-site full scale, data center level, and statistical analysis level, by classifying 风洞 real-time data and combining various data storage requirements, fully utilizing various storage methods such as real-time databases, relational databases, and DFS systems. Through hardware system construction, software function development and debugging, key performance indicators such as IOPS, real-time performance, data retrieval rate, and compression rate of the storage prototype were tested. The test results show that the real-time data acquisition and storage prototype can meet the real-time data acquisition and storage needs of large-scale wind tunnel sites, effectively reducing the technical risks of developing such real-time database management systems, and laying a good technical foundation for subsequent system development and improvement.