The Endress+Hauser project is a continuation of last year’s work, where previous technical challenges have been addressed. However, two key issues remain. Firstly, the current design of the machine does not aggregate the output data from various sensors, making data interpretation more time-consuming than necessary. Secondly, the learning curve for operating the control cart is too high, especially for potential student training. By addressing these issues, we aim to improve the scalability of our project and make it more accessible for student training and industrial monitoring for Endress+Hauser and Rockwell Automation.
The cart is outfitted with an array of sensors. The data from the sensors cannot be easily accessed in the machine’s state and will need to be fully integrated. Endress+Hauser would like for the measurement values to be read in a real-time scenario.