Abstract
AbstractWithin the FFG‐project PreMainSHM the area of preventive structural health monitoring is raised to a new level of networked systems. This applies not only to the networking of self‐sustaining sensors and their sensor data, but also to the networking and utilization of relevant information for the building condition assessment and building management. The paper presents and discusses the basic considerations in terms of data models and interfaces of cloud‐based systems to guarantee interoperability between different software systems and long‐term‐availability and accessibility not only of raw but also of and relevant meta and analysed data. The starting point for further developments is provided by the existing technologies of the involved partners, which is a GIS based infrastructure asset management system and wireless as well as fibre optic sensor systems from the authors. In order to obtain information relevant to the building management, suitable analysis and prognosis procedures are discussed. Data models and analysis tools are developed and integrated into an interoperable software framework in order to provide relevant status information that can be either assessed directly by web user interfaces in form of a georeferenced digital twin or that can be used in building management systems.
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