Visual tools for aiding remote control systems experiments with embedded controllers

Maiti, Ananda and Maxwell, Andrew D. and Kist, Alexander A. (2019) Visual tools for aiding remote control systems experiments with embedded controllers. In: 15th International Conference on Remote Engineering and Virtual Instrumentation (REV 2018): Smart Industry and Smart Education, 21-23 March 2018, Duesseldorf, Germany.


Abstract

Remote Laboratories are used to teach a variety of experiment in an online mode. One of the fields of RAL is control systems where various embedded controller or similar devices such as FPGA, PLC and MicroController Units (MCU) are the main focus of teaching and learning. For these experiments, the students upload a program to the device. Once the program is uploaded, it runs on the hardware and the students must verify that the program is running correctly by providing further inputs. This is confirmed is the sensors return the right data according to the proper time response. This paper proposes a visual tool in the form a coloring scheme for a virtual model in a 3D virtual environment to aid the students in understanding the changes in the rig with a virtual “twin” of the real rig in the virtual world. The sensor data is streamed to the client user interface from the experiment site and the client-side virtual rig model aligns with its real remote counterpart. The main challenges are the timing issues when the rate of change in data is fast such that it is difficult to determine the changing values. The sensor data is proceeded to find their derivatives and is checked for a minimum threshold. The resulting system allows for greater visualization and ease of understanding of the data.


Statistics for USQ ePrint 34702
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 July 2013 -)
Date Deposited: 14 Jan 2020 23:53
Last Modified: 03 Feb 2020 22:46
Uncontrolled Keywords: e-learning, remote laboratories, virtual reality, programmable logic controller, embedded controller, visualization
Fields of Research : 13 Education > 1301 Education Systems > 130199 Education systems not elsewhere classified
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
Identification Number or DOI: 10.1007/978-3-319-95678-7_46
URI: http://eprints.usq.edu.au/id/eprint/34702

Actions (login required)

View Item Archive Repository Staff Only