Currently it has accumulated vast amounts of test data on a variety of test platforms. Based on these data

how to make deeply data mining

utilization

and network performance analysis of different scenarios

is an urgent problem to be solved. This paper presents a meticulous analysis method of multi-scenario based on the military raster and geographic information

which supports user-defined test scenarios making on the GIS map. And the massive test data can be cutted and stored based on the military raster. By these

test data can be associated with the test scenarios. Then the meticulous analysis of the scenarized indexes can be done easily. So the method suggested can improve the efficiency of the scenarized analysis

make a depth big-data mining

and save the cost of the test and analysis.