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Supervisor: Dr. Máté Tömösközi
Sensors capture various physical phenomena such as pressure, temperature, and light, which are immediately transmitted to deliver the current and possible future conditions of assets within a smart factory. Displayed on a dashboard, these insights help prevent delays in the production process or even asset breakage. Therefore, the aim of this work is to build and deploy a wireless sensor network within a training factory (Lernfabrik) from Fischertechnik, in order to perform condition monitoring, with the help of our bitteiler software modules, intended to promote data collection from sensor devices in an industrial environment.
The student is expected to build a wireless sensor network from scratch using the equipment provided, and establish a wireless network that delivers in real-time the readings from the sensors to a raspberry pi, which in turn processes and analyzes the data for monitoring purposes.
Install and test the operability of bitteiler software modules.
Hardware to use
Fischertechnik training factory, sensors, arduinos, raspberry pi, router
PDF task description
At Meshmerize, we build wireless mesh networks for industrial robots and UAVs. We enable systems with reliable and resilient networks based on relatively inexpensive WiFi hardware by combining bleeding-edge research with the practical needs of the Industry 4.0. Backed by some of the top-tier early-stage investors in Europe, we are on a journey to redefine the way moving robots communicate with each other.
We are looking for students who are familiar with Linux wireless and C programming, willing to learn and explore the magic of wireless mesh networks, to help us build the internet of moving things.
For more information, please visit our website and get in touch with us today.