Hierarchical nondestructive detection of full‐scene suspended ceiling systems using point cloud

Suspended ceiling (SC) systems constitute a critical nonstructural building component. Excessive deformation of the ceiling surface can cause life-threatening falling debris during earthquakes and create voids that may expose occupants to hazardous materials concealed above the ceiling. To address limitations of the in-service detection of SC deformation, this paper presents a point cloud–based full-scene SC detection method, integrating region growing, Hough Transform, a customized Set2Seq network, and robust principal component analysis to achieve a complete workflow from ceiling segmentation, panel extraction to deformation quantification. Point cloud data with color information acquired from two precision-differentiated devices are used in substage tests and holistic evaluation. The substage tests demonstrate that the local panel deformation quantitative accuracy of the proposed method is generally over 80%, and the holistic experiments show the feasibility of full-scenario practical application.