  This research proposes a blockchain-based data visualization framework
integrated with VR to get manufacturing insights. This framework is implemented
at the testbed of the Future Factories Lab at the University of South Carolina.
The proposed system aims to enhance understanding, analysis, and
decision-making processes by immersing users in a VR environment where complex
manufacturing data stored using blockchain is translated into intuitive and
interactive representations. The project focuses on two main components:
blockchain and VR. Hyperledger Fabric is employed to establish a blockchain
network, recording data from the Future Factories testbed. This system captures
information from various sources, such as potentiometers on robot grippers to
measure grip positioning, load cells to gauge pressure, emergency stop buttons,
temperature, speed, and vibration sensors on the conveyors. Whenever predefined
conditions are met, pertinent data, including sensor ID, timestamp, value,
cause, and importance, is securely recorded in the blockchain, signaling the
occurrence of a defect within the cell. Data retrieved from the blockchain
system is accessed through 'GET' API requests. A VR application is developed
using a cross-platform Unity game engine to visualize the data retrieved from
the blockchain database. Meta Quest 3 is used as the targeted Head Mounted VR
device. The VR application has two C# scripts: one script to query blockchain
data using 'GET' API calls and another script converts the JSON object to text
data to visualize in the VR system. The proposed system leverages blockchain
technology and VR visualization to deliver immersive, actionable insights using
secure data transmission. By embracing the proposed framework, manufacturers
can unlock new potential for efficiency, sustainability, and resilience in
today's increasingly complex and interconnected manufacturing workplace.
