Leslie, Andrew (2017) Design of high accuracy wireless tilt sensor system for measuring rail sleeper movement in remote areas. [USQ Project]
Abstract
Recent advances in wireless technologies coupled with condition monitoring sensors are proving to be a useful tool for rail operators. A market opportunity for a high accuracy tilt measurement device has been identified for measuring rail sleeper movement in remote areas using a long range wireless technology.
This project will develop and design a wireless tilt sensor system that is able to be deployed in remote areas with little infrastructure. The sensor will be based on a MEMS accelerometer that works under the static gravitational field. A calibration method was developed using a least squares error algorithm to reduce the errors in the sensors and improve accuracy. The LoRa wireless technology was found to be suitable for remote deployment. The sensor end devices will be battery powered allowing for potential years of lifetime.
This project goes through the methodology and procedure of the LoRa sensor and gateway design from concept to physical hardware. Details on the hardware operation are provided along with the software integration. The calibration was modelled using MATLAB and validated on tilt sensor calibrators. The project aimed to achieve the best accuracy of 0.01° and was found to not meet this target but did manage to accomplish an accuracy of under 0.1° using a linear least squared method.
The analysis of results showed the system designed will perform well for measuring rail sleeper movement in remote areas. However the targeted accuracy, while not initially achieved, could potentially be achieved with a non linear algorithm for least squared methods and will need to be developed as future work.
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| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Additional Information: | Bachelor of Engineering (Electrical & Electronic) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Phythian, Mark |
| Date Deposited: | 06 Sep 2022 01:41 |
| Last Modified: | 06 Sep 2022 01:41 |
| Uncontrolled Keywords: | wireless tilt sensor; rail sleeper; movement |
| URI: | https://sear.unisq.edu.au/id/eprint/40817 |
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