Guidelines for data acquisition, processing, and quality assurance

This deliverable addresses the asset ownersmanagers requirements for improved conditionbased maintenance processes the investigation of the current stateoftheart on linking monitoring and scanning data to corresponding asset information models the transfer of monitoring data and alerts to other systems in cybersecure way the management of the gathered monitoring and scanning data and the way for enhancing current usage of condition data gained for instance from structural health monitoring and terrestrial laser and LIDAR scanning systems etc The specific aspects addressed by this deliverable areData acquisition Standardisation for the design of monitoring systems taking into account the location of the data the analysis on this data itself throughout the complete transmission pipeline API to automatically send the postprocessed data to a cloud server which is accessible from a browser and allows for further postprocessing and fundamental requirements on security flexibility bandwidth and licensing restrictionsData processing and storage technology Considering the shift from databases and warehouses at fixedpredefined locations towards distributed and more fluid data processing such as the socalled data lakes and data spaces as well as the open standardisation approach to data sharing such as the International Data Space IDS association which aims to create a reference architecture to foster the development of data ecosystems and market placesData quality assurance Addressing the Data Quality Assurance Framework and Blockchain models