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.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB Raspberry pi/arduino,other hardware components (please call) • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL