| Abstract: | In order to study the visualization of intermediate processing results such as seismic event detection in the business scenarios based on seismic data such as earthquake quick report, a set of visualization system based on real-time seismic data is designed and implemented in this paper. The system uses distributed message queue Kafka to realize streaming data caching, and uses a distributed real-time data processing framework Flink, to realize seismic phase arrival time pick-up and seismic event detection. Finally, it uses the big data visualization component Echarts to display the seismic phase arrival time statistics of various seismic stations nationwide. Through the deployment and application, the system achieves the purpose of design, realizes its functions, and meets the actual needs. |
