Students' personal information, learning information, behavior track and other data which originally recorded in isolated business application systems will be extracted, cleaned and transformed in the data center of smart campus. The "virtual image of the main body" is realized through big data technology, which supports decision analysis and early warning research and judgment di- rectly or indirectly. Based on the limited consumption related behavior data of students in school, this paper studies on how to reflect the consumption level of students in time, predict the consumption trend, and guide them to open up sources and reduce expenditure. Finally, a formula is designed for assessing risk when deal with the risk websites which committed by students themselves using big data processing.