A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Integration of New and Emerging Technologies into Data Architectures : Deliverable D3.2
To appraise the ability to integrate the data provided by a specific technology into an existing data architecture this report commences with the development of an approach to describe the "ideal" data architecture, that can integrate various types of data from new and emerging technologies to facilitate decision making. The data architecture forms a pipeline from raw data creation/delivery to data ingestion, data organization, data analysis and visualisation, until information that is useful for decision making. We then review two existing data architectures as examples in the context of the proposed data architecture pipeline. From the understanding of the two sides – the data properties of technologies and the capabilities of data architectures – we develop an appraisal scoring process to evaluate the ability to integrate the new data into the existing data architecture. To generalize this approach, the report presents a list of questions that can be used by stakeholders to help understand the data architecture used by any NRA (not only limited to the selected examples) when conduct the appraisal. We also develop an appraisal scoring process to evaluate the potential of the technologies to support practical decision making.The outcomes in this report (D3.2) and the previous one (D3.1), complete the INFRACOMS appraisal (scoring) system for the aspects of: data analysis, visualisation, integration into data architecture and potential support for decision making (forming part of the overall appraisal process). An example application of the process is presented for the case of acoustic emission monitoring the wire break in steel cables. In addition, the process has been applied to further technologies in the INFRACOMS database 1.0, and provided in the appendix. It is anticipated that refinement, and further guidance
Integration of New and Emerging Technologies into Data Architectures : Deliverable D3.2
To appraise the ability to integrate the data provided by a specific technology into an existing data architecture this report commences with the development of an approach to describe the "ideal" data architecture, that can integrate various types of data from new and emerging technologies to facilitate decision making. The data architecture forms a pipeline from raw data creation/delivery to data ingestion, data organization, data analysis and visualisation, until information that is useful for decision making. We then review two existing data architectures as examples in the context of the proposed data architecture pipeline. From the understanding of the two sides – the data properties of technologies and the capabilities of data architectures – we develop an appraisal scoring process to evaluate the ability to integrate the new data into the existing data architecture. To generalize this approach, the report presents a list of questions that can be used by stakeholders to help understand the data architecture used by any NRA (not only limited to the selected examples) when conduct the appraisal. We also develop an appraisal scoring process to evaluate the potential of the technologies to support practical decision making.The outcomes in this report (D3.2) and the previous one (D3.1), complete the INFRACOMS appraisal (scoring) system for the aspects of: data analysis, visualisation, integration into data architecture and potential support for decision making (forming part of the overall appraisal process). An example application of the process is presented for the case of acoustic emission monitoring the wire break in steel cables. In addition, the process has been applied to further technologies in the INFRACOMS database 1.0, and provided in the appendix. It is anticipated that refinement, and further guidance
Integration of New and Emerging Technologies into Data Architectures : Deliverable D3.2
Zhang, Fengqiao (author) / Yang, Yuguang (author) / Workman, Robin (author) / McPherson, Kevin (author) / Wright, Alex (author) / Van Geem, Carl (author) / Yeganeh, Ali (author) / Saberi, Mogens (author) / Arvidsson, Anna K (author) / Kokot, Darko (author)
2023-01-01
D3.2
Paper
Electronic Resource
English
LiftWEC Deliverable D3.2: Preliminary assessment of computational capability report
| BASE | 2020
| BASE | 2020