A Real-Time Mechanical Structures Monitoring System Based On Digital Twin, Iot and Augmented Reality

Abstract

In the Industry 4.0 era, a fundamental role is played by the application of new digital and informatics technologies such as the Digital Twin and the Internet of Things. These technologies offer the possibility of implementing innovative systems related to industrial safety and security. This paper focuses on the application of a new system for monitoring the stresses acting on loaded metal shelving through the use of an integrated application based on augmented reality, the industrial internet of things, digital twin and simulation to improve the safety of the working environment. The stresses are evaluated by the use of strain gauges and a simulation model, the latter being designed to send the strain data to a server. The user has the possibility to access the history of all the stresses during the component lifecycle.

Cloud-Based Digital Twinning for Structural Health Monitoring Using Deep Learning

“…The study achieved a clear improvement compared to the traditional fault diagnosis method with error rates under 5% in locating fault and assessing its extent. Revetria et al [5] presented a DT-based real-time monitoring system for mechanical structures to improve the safety of the work environment. The essential components of the system included strain gauges mounted to the structure for deformation measurement, Arduino card for data integration, augmented reality glasses, and FEA Toolbox in the software Matlab for numerical simulation.…”

Developing the Next Generation of Augmented Reality Games for Pediatric Healthcare: An Open-Source Collaborative Framework Based on ARCore for Implementing Teaching, Training and Monitoring Applications

“…The concept of collaboration can be also understood as a way of enabling the interaction between Internet of Things (IoT) and AR/MR devices [ 20 ]. For instance, in [ 21 ] the authors presented a PoC of metal shelving that is monitored with strain gauges and that has a QR code attached. When the operator scans the QR code, certain identification data are sent to a cloud and a simulation model designed with Matlab provides a stress analysis that is visualized through a pair of F4 smart glasses.…”

Parametric Digital Twin of Autonomous Electric Vehicle Transmission

“…To define the domain to be simulated, specific data is required, such as mechanical and material characteristics, Poisson's ratio (i.e., the negative of the ratio of (signed) transverse strain to (signed) axial strain) and Young's modulus (i.e., a mechanical property that measures the stiffness of a solid material), which create the geometry of the component [10]. For the first step of transmission parametrization, the spatial model was created using 3D scanner ATOS II 400.…”