Abstract: Abstract： With the continuous growth of meteorological data and the expansion of application scenarios， traditional data processing models are difficult to meet the needs of various industry and integrated services. In order to solve the difficulties of mass data， complex processing， demand diversification， and high response time requirements in meteorological services， we developed the Hunan meteorological service middle platform based on distributed architecture， and introduced key technologies to support high concurrency services， including adopting standardized processes to achieve unified processing of multi-source heterogeneous data， developing microservice parallel processing modules to improve data processing efficiency， designing dynamic load balancing algorithms to enhance concurrency capabilities， and ensuring operational stability through flow control mechanisms. The test results show that with the application of the above technology and limited basic resource support， the platform can support 5000 concurrent access， displaying average response time 1202 ms. It has achieved positive application effects in supporting cross industry and multi scenario meteorological services such as emergency management， water conservancy， natural resources.

Key words: Key words： meteorological service, high concurrency, processization, microservices, load balancing, flow control