Abstract: This paper attempts to extract the ability of ELK inprocessing large-scale and real-time log files, combines its superiority with geographic information technology, and provides a dynamic spatial-temporal data acquisition and mining method based on ELK stack. The method dynamically collects massive unstructured data and screens spatial-temporal information related to geographic elements in real time, so as to realize real-time dynamic analysis and mining of spatial-temporal geo-information data under massive analysis samples, and takes the traffic flow of Shanghai expressway which is used to verify the method model as a research object. The experimental results can reflect certain social potential laws and provide relevant guidance value, prove the method is feasible, and the advantages and disadvantages of the method are recorded and analyzed.

Key words: ELK, dynamic spatial-temporal data, real-time data acquisition and mining, unstructured, traffic flow