Different　linkages　in　a　high-end　equipment　innovation　chain　require　different　knowledge　of　innovative　methods.　A　partial　or　single　innovation　method　could　not　satisfy　the　increasingly　complex　innovation　activities.　It　becomes　an　urgent　necessity　to　integrate　innovation　method　knowledge　and　recommend　preferred　methods　for　computer　aiding　efficient　implementation　of　innovation　design　of　high-end　equipment.　Taking　advanced　rail　transportation　equipment　as　an　example,　a　series　of　innovative　methods　are　mined　as　basic　information　from　the　traced　formation　process　of　a　number　of　major　science　and　technology　achievements　and　frequently　used　methods　in　patent　technologies　in　the　field　by　analyzing　innovative　features　and　key　factors　controlling　the　emergence　effect　of　innovation.　In　order　to　make　it　become　reusable　knowledge　that　can　be　disseminated,　learned　and　applied,　the　specific　content　of　innovation　methods　is　described　in　a　normalized　manner　and　modeled　in　unit　data.　The　application　scenario　space　of　innovation　methods　in　equipment　field　is　constructed.　Based　on　the　structured　ontology　language,　the　knowledge　model　of　innovation　methods　in　the　application　scenario　space　is　established　to　facilitate　knowledge　acquiring,　storing,　processing　and　invoking.　A　knowledge　system　of　multi-dimensional　integrated　innovation　methods　is　developed　to　systematically　manage　the　dispersed　innovation　method　knowledge.　The　evaluation　indexes　of　innovation　method　applicability　are　structured　and　the　weights　are　evaluated　to　establish　the　multi-method　optimization　and　decision　model,　so　a　multi　method　sequence　push　method　is　proposed　based　on　statistical　principles　to　break　through　personal　experience　and　provide　a　theoretical　basis　for　programmatic　automatic　recommending.　The　implementation　process　of　knowledge　optimization　and　push　application　of　innovative　methods　is　constructed,　and　the　operability　and　effectiveness　of　the　knowledge　system　and　the　implementation　process　are　verified　by　the　application　example　of　a　design　project.　©　2024　Chinese　Mechanical　Engineering　Society.　All　rights　reserved.