This invention discloses an intelligent meteorological
data processing system, comprising: a meteorological data
parsing and storage subsystem, which implements two-phase
commit based on Kafka
middleware for receiving and
parsing multi-source heterogeneous meteorological data; a business configuration subsystem, which provides a rule configuration interface for dynamically configuring meteorological
data processing rules and
synchronizing the
processing rules to business nodes in real time; a business monitoring subsystem, which collects business indicators in real time through Kafka log streams; and a distributed data storage subsystem, which uses a distributed
MySQL cluster to store meteorological data and caches it through Redis. This invention solves the problems of complex operation and maintenance, data backlog, poor
scalability, and low reliability of traditional meteorological decoding systems by dynamically configuring business rules, distributed meteorological data decoding, distributed storage architecture, real-time monitoring and alarm mechanism, and
fault tolerance function.