Data Synchronization in Digital Twin for a Lab-Scale Drone Factory

This report examines a newly identified security vulnerability in a widely used web platform, highlighting how subtle flaws in access control can expose sensitive information to unauthorized users. By unpacking both the technical root cause and its broader implications, the study sheds light on how seemingly minor implementation oversights can translate into real-world security risks for modern web systems.

Authors: Aniruth Vishwanath Nagarajan & Gnyaneshwar Janaswami

Examiner: Torbjörn Ylipää

Supervisors:  Siyuan Chen & Paulo Victor Lopes

Year: 2024

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Industry 4.0 has introduced new technologies aimed at revolutionizing and digitizing the manufacturing sector. Among these, Digital Twin stands out as a leading technology for industrial digitalization. This thesis examines the integration of Digital Twin with an actual production system to achieve data synchronization. A lab-scale drone factory serves as the test bed for this research. Through an extensive literature review, the study identifies essential communication technologies and architectures that facilitate the connection between Digital Twin and real systems. The project’s methodologies involve developing a Digital Model, selecting a communication protocol, establishing a connection between the Digital Model and the real system, importing and exporting data between the Digital Twin and a server, and verifying the control of the real system via the Digital Twin and vice versa. The findings demonstrate that the Digital Twin can replicate and control the real system, offering suggestions for production parameter improvements. The study concludes by discussing the implications of future research on this thesis and detailing the steps and advantages of integrating event log data into PlantSim.

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