Realtime Digital Twin-Operational Ecosystem in Your Pocket

The Realtime Digital Twin-Operational Ecosystem project integrates physical hardware sensing with a cloud-backed virtual interface. At the core of the physical setup is the Arduino UNO R4 WiFi, which reads analog and digital inputs from several connected sensors. A 5Kg load cell measures applied weight or mechanical force, an NTC 103 10K thermistor tracks temperature changes, and a 10K potentiometer provides manual input or calibration values. The microcontroller processes these incoming analog signals and transmits the telemetry data over a Wi-Fi network. This information is securely routed to the Google Firebase Realtime Database, acting as a live bridge between the physical prototype and external software. On the client side, the cloud database interacts with Unity and Blender environments, where a 3D digital twin renders the real-time movements, temperatures, and load statuses corresponding to the physical hardware. The entire portable system is housed securely inside an acrylic enclosure and powered independently by a WLY52535 450 mAh 3.7V single-cell rechargeable LiPo battery routed through a prototype board and regulated wiring, ensuring complete mobility for the operator.