Aiming　at　the　reuse　of　existing　CAD　engineering　drawings　in　manufacturing　product　design,　a　2D　engineering　drawing　retrieval　method　based　on　bag　of　visual　words　model　is　proposed.　The　scale　invariant　feature　transformation　(SIFT)　algorithm　is　used　to　extract　visual　vocabulary　vectors　from　different　kinds　of　2D　engineering　drawings,　and　the　K-Means　algorithm　is　used　to　cluster　the　extracted　SIFT　features　to　form　visual　vocabulary,　construct　visual　dictionary,　construct　the　bag　of　visual　words　model　of　2D　engineering　drawings,　and　realize　the　retrieval　of　engineering　drawings.　Select　1000　engineering　drawings,　build　bag　of　visual　words　model　of　engineering　drawings,　and　build　a　2D　engineering　drawing　retrieval　system.　The　method　of　retrieving　engineering　drawings　using　product　point　cloud　data　is　proposed.　The　point　cloud　data　of　enterprise　products　is　scanned　by　3D　scanner　to　generate　multi　views　of　STL　model,　extract　the　contour　of　product　view,　extract　the　characteristics　of　contour　view,　and　retrieve　similar　2D　engineering　drawings,　so　as　to　provide　help　for　reverse　engineering.