Scan-to-Scoring: An Algorithmic Model for Conservation Maintenance Records

Abstract. This paper presents a Scan-to-Scoring framework supporting the Conservation Maintenance Record (CMR). The proposed methodological approach integrates expert-based assessment with interoperable digital environments (XLS, VPL, CAD/E-HBIM) to compute, manage and visualize a synthetic conservation risk index directly on semantically defined point clouds and 3D feature-based models. The main goal of the proposed evaluation system is the operational formalization and spatial mapping of a repeatable and transparent risk scoring process, enabling cross-asset comparison, periodic monitoring and maintenance planning. Geometric processing, including manual and semi-automatic segmentation, supports score attribution and visualisation at different scales. The XLS/VPL algorithm produces numerical and colour-coded outputs synchronized with the 3D representation. The workflow is suitable for both artefacts and architectural contexts. The innovation lies in the algorithmic and repeatable formalization of a traditionally qualitative assessment process, demonstrating adaptability, feasibility and operational applicability to support preventive conservation, monitoring and maintenance planning through an operational and accessible digital workflow.