The　purpose　of　this　study　was　to　predict　the　deformation　of　a　deep　foundation　pit　based　on　a　combination　model　of　wavelet　transform　and　gray　BP　neural　network.　Using　a　case　of　a　deep　foundation　pit,　a　combination　model　of　wavelet　transform　and　gray　BP　neural　network　was　used　to　predict　the　deformation　of　the　deep　foundation　pit.　The　results　show　that　compared　with　the　traditional　gray　BP　neural　network　model,　the　relative　error　of　the　combination　model　of　wavelet　transform　and　gray　BP　neural　network　was　reduced　by　2.38%.　This　verified　that　the　combined　model　has　high　accuracy　and　reliability　in　the　prediction　of　foundation　pit　deformation　and　also　conforms　to　the　actual　situation　of　the　project.　The　research　results　can　provide　a　valuable　reference　for　foundation　pit　deformation　monitoring.