Dependable system codesign using data flow models

Enabling automated engineering’s project progress measurement by using data flow models and digital twins

International Journal of Engineering Business Management ◽

10.1177/18479790211033697 ◽

2021 ◽

Vol 13 ◽

pp. 184797902110336

Author(s):

Helena Ebel ◽

Theresa Riedelsheimer ◽

Rainer Stark

Keyword(s):

Data Flow ◽

Historical Data ◽

Engineering Process ◽

Engineering Project ◽

Flow Models ◽

Significant Challenge ◽

Digital Twins ◽

Using Data ◽

Engineering Projects ◽

Progress Measurement

A significant challenge of managing successful engineering projects is to know their status at any time. This paper describes a concept of automated project progress measurement based on data flow models, digital twins, and machine learning (ML) algorithms. The approach integrates information from previous projects by considering historical data using ML algorithms and current unfinished artifacts to determine the degree of completion. The information required to measure the progress of engineering activities is extracted from engineering artifacts and subsequently analyzed and interpreted according to the project’s progress. Data flow models of the engineering process help understand the context of the analyzed artifacts. The use of digital twins makes it possible to connect plan data with actual data during the completion of the engineering project.

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Similarities between the Madeira and Canary Hotspots Revealed by Seismic Anisotropy from Teleseismic and Local Shear-Wave Splitting with the SIGHT Project

10.5194/egusphere-egu21-10797 ◽

2021 ◽

Author(s):

David Schlaphorst ◽

Graça Silveira ◽

João Mata ◽

Frank Krüger ◽

Torsten Dahm ◽

...

Keyword(s):

Shear Wave ◽

Canary Islands ◽

Delay Time ◽

Seismic Anisotropy ◽

Vertical Component ◽

Mantle Flow ◽

Crust And Upper Mantle ◽

Length Scales ◽

Flow Models ◽

Using Data

The Madeira and Canary archipelagos, located in the eastern North Atlantic, are two of many examples of hotspot surface expressions, but a better understanding of the crust and upper mantle structure beneath these regions is needed to investigate their structure in more detail. With the study of seismic anisotropy, it is possible to assess the rheology and structure of asthenosphere and lithosphere that can reflect a combination of mantle and crustal contributions.Here, as part of the SIGHT project (SeIsmic and Geochemical constraints on the Madeira HoTspot), we present the first detailed study of seismic anisotropy beneath both archipelagos, using data collected from over 60 local three-component seismic land stations. Basing our observations on both teleseismic SKS and local S splitting, we are able to distinguish between multiple layers of anisotropy. We observe significant changes in delay time and fast shear-wave orientation patterns on short length-scales on the order of tens of kilometres beneath the western Canary Islands and Madeira Island. In contrast, the eastern Canary Islands and Porto Santo the pattern is much more uniform. The detected delay time increase and more complex orientation patterns beneath the western Canary Islands and Madeira can be attributed to mantle flow disturbed and diverted on small-length scales by a strong vertical component. This is a clear indication of the existence of a plume at each of those archipelagos, nowadays exerting a strong influence on the western and younger islands. We therefore conclude that a plume-like feature beneath Madeira exists in a similar way to the Canary Island hotspot and that regional mantle flow models for the region should be reassessed.This is a contribution to project SIGHT (Ref. PTDC/CTA-GEF/30264/2017). The authors would like to acknowledge the financial support FCT through project UIDB/50019/2020 &#8211; IDL.

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