Patent　is　an　important　embodiment　of　innovation.　Before　patent　application,　many　people　will　check　a　patent　application　process　on　the　Internet　to　understand　the　steps　of　a　patent　application.　In　fact,　these　people＇s　search　is　also　a　means　to　understand　whether　innovative　enterprises　or　individuals　imply　the　importance　of　innovation.　It　has　become　a　new　crucial　problem　to　obtain　more　information　about　time-series　data.　Research　has　found　that　the　concept　of　VG　can　provide　deeper　information　in　time-series　data　so　that　it　can　understand　the　information　of　patent　applications　more　comprehensively.　After　analyzing　the　data　from　1　January　2011　to　31　December　2018,　we　find:　i)　there　are　very　few　peaks　and　valleys,　and　80%　of　searches　are　in　the　normal　range.　ii)　according　to　the　central　value　of　the　ranking,　it　can　be　found　that　the　peaks　of　the　annual　patent　application　search　times　time　series　occurred　in　December　last　year,　after　January,　February　of　this　year　or　after　August-October,　and　iii)　after　clustering　the　time　series　data,　we　find　that　the　attention　of　people　shows　noticeable　segmentation　effect.