NDT spatial data integration for monumental buildings: technical information management for the Royal Alcazar of Seville

Non-destructive testing (NDT) for the diagnosis of heritage buildings has proved to be one of the most sustainable approaches in the field of preventive conservation. Nevertheless, the comprehensive management of NDT information is complex, often resulting in a poorly optimized use of the data. This contribution aims to propose a method for integrating NDT data in a standardized way into simplified digital information models, produced using Geographic Information Systems (GIS). This method is applied to the plasterwork located in the Courtyard of the Maidens, which are elements with an enormous historic-artistic value in the Royal Alcazar of Seville (Spain), a significant UNESCO monument. For this purpose, a multi-scale web GIS-based model has integrated the NDT information from the plasterworks, such as ambient conditions, damage mapping, C-Shore Hardness, Superficial Humidity, Infrared thermography (IRT), Digital Image Processing (DIP) and Ground Penetration Radar (GPR). The combined georeferencing of the data from the various measurements and their simultaneous visualization has enabled the detection of vulnerable areas in the complex. The results are easily accessible for managers, and additionally show the analytical potential of the research approach, thereby allowing a quick diagnosis and hierarchization of tasks.

无损检测（Non-destructive testing, NDT）用于文物建筑诊断，已被证实为预防性保护领域最具可持续性的路径之一。然而，无损检测信息的综合管理复杂度较高，常导致数据优化利用程度不足。本研究提出一种方法，可将无损检测数据以标准化形式集成至地理信息系统（Geographic Information Systems, GIS）构建的简化数字信息模型中。该方法被应用于塞维利亚皇家阿尔卡萨宫（西班牙，联合国教科文组织认定的重要古迹）内少女庭院的抹灰构件——此类构件具备极高的历史艺术价值。为此，本研究搭建了基于Web GIS的多尺度模型，集成了该抹灰构件的各类无损检测信息，涵盖环境条件、损伤制图、C型肖氏硬度、表面湿度、红外热成像（IRT）、数字图像处理（DIP）以及探地雷达（GPR）。通过对多源测量数据的联合地理配准与同步可视化，本研究成功识别出该建筑群中的脆弱区域。研究结果便于管理人员快速获取，同时展现了本研究方法的分析潜力，可实现快速诊断与任务分级。