A Scalable Data Management System Data Model facilitating the integration of any inspection system and the automated data digitalization process.

In the context of the EU-funded project PILOTING (No. 871542), a scalable Data Management System (DMS) was deployed and facilitated the easy integration of nine different robotic systems and various payloads and the storing of all the data observations produced during the inspections. In particular, a three-phase methodology was adopted for the creation of the DMS Data Model (DMS-DM) in order to define the architectural design of the DMS. <br> The first phase was to semantically define the entities of the PILOTING ecosystem, identifying assets and activities that were important to the data providers, and including them in the data model design. The second phase was to identify relationships between the entities, focusing on information that must pre-exist for entities to be semantically accurate, hierarchies between entities, especially physical assets, and the data needed to form the inspection plan. For the third phase, the information collected by the previous two stages of the data model construction was used to create the overall data model, taking into consideration the possible integration with third parties and the needs of the I&amp;M Visualization portal. <br> The constructed document is attempted to present the designed Entity-Relationship-Diagram (ERD) of the DMS-DM. Additional definitions of the existing entities and the relations between them are also depicted.在欧盟资助项目PILOTING（编号871542）的背景下，一套可扩展数据管理系统（Data Management System, DMS）得以部署，该系统实现了9种不同机器人系统与各类有效载荷的便捷集成，并存储了巡检过程中产生的全部数据观测结果。具体而言，为明确DMS的架构设计，研究团队采用三阶段方法论构建DMS数据模型（DMS Data Model, DMS-DM）。 第一阶段：对PILOTING生态系统的实体进行语义化定义，识别出对数据提供方至关重要的资产与活动，并将其纳入数据模型设计范畴。 第二阶段：梳理实体间的关联关系，重点关注确保实体语义准确性所需的前置信息、实体间的层级结构（尤其是物理资产），以及制定巡检计划所需的数据。 第三阶段：基于前两个阶段收集的数据模型构建信息，综合考虑与第三方的潜在集成需求以及I&M可视化门户的使用需求，搭建完整的数据模型。 本构建文档旨在呈现DMS-DM的实体关系图（Entity-Relationship-Diagram, ERD）设计方案，同时对现有实体及其间的关联关系补充相关定义说明。