Chapter 2 Novel Data Acquisition Utilising a Flask Python Digital Twin Operational Platform Ruiyang Wang and Matthew S. Bonney Abstract Remote live sensor supervisory control and scenario prediction are vital aspects for asset management of deployed industrial systems. Additionally, this information can be used to schedule regular repairs and give advance warning to potentially harmful operational conditions to allow for risk mitigation procedures to be activated. This project presents some novel work in human–computer interaction via the remote sensing of a deployed structure. To demonstrate this work, modifications to DTOP-Cristallo is performed to remotely sense the acceleration of a three-storey structure. The implementation of the platform includes coding of Python, Html and Flask. With web page-based interface, the users can modify data acquisition parameters and investigate the current state of the structure. This remote sensing was performed using DTOP-Cristallo and the benchtop model of the three-storey structure deployed at the University of Sheffield. Keywords Digital twin · Twin connectivity · Data acquisition · Python 2.1 Introduction Digital twin (DT) technology is a currently popular topic of research for bridging the industrial needs with academic interest [1–4]. These DTs are used for a wide variety of twins (systems, processes and networks) such as aircraft [5–7], manufacturing processes [8–10], additive manufactured systems [11, 12] and a wide variety of other systems. The ability to utilise DTs for a wide range of systems makes it an appealing topic for industrial collaboration. There are two main connectivity areas when discussing DTs, these are the connectivity between the physical twin (PT) and DT and between the DT and the user. However, the recent work in Digital Twin Operational Platform (DTOP) development has developed a third main area of connectivity, the connection between the PT and the user through the DTOP [3]. This studies the interaction between the user and data generated from the PT as well as direct interaction between the user and PT. To further the work performed in [3], which gives an example use for the connectivity between the user and data generated from experimental testing of the PT, this work is the initial study on connecting the PT and user through the developed DTOP. There are several types of connectivity between the user and PT via the DTOP. This work focuses on the collection of data given from sensors for further use in simulations, such as model updating. The other types of connectivity, control scheme updating for example, is currently planned for future work. 2.2 Digital Twin Operational Platform A DT is a virtual representation of a physical object. This kind of representation can be used for digital simulation and problem solving. In this project, DT is deployed for a three-story structure, aiming to accurately represent the dynamic characteristics of the structure. The DTOP introduces a methodology to connect the user to DT, PT and the data generated from both twins. This methodology is expressed as connecting three layers that are shown in Fig. 2.1. This work focuses on the interaction between the interface layer and the Internet-of-Things (IoT) layer. Sensors are attached on the physical twin and data are streamed through the network to the user and the data storage (within the cloud computing layer). The interface layer addresses how R.Wang ( ) · M. S. Bonney Dynamics Research Group, Department of Mechanical Engineering, University of Sheffield, Sheffield, UK © The Society for Experimental Mechanics, Inc. 2023 M. Allen et al. (eds.), Special Topics in Structural Dynamics & Experimental Techniques, Volume 5, Conference Proceedings of the Society for Experimental Mechanics Series, https://doi.org/10.1007/978-3-031-05405-1_2 7
RkJQdWJsaXNoZXIy MTMzNzEzMQ==