Date of Award


Degree Type


Degree Name

Master of Science in Electrical Engineering (MSEE)


Electrical, Computer, and Biomedical Engineering

First Advisor

Tao Wei


Strain measurement is widely implemented in the civilization, mechanical, electrical and material industrial and research field. The traditional strain measurement devices are tremendous in dimension and power consumption. Most of them connect with computers with wire communication such as RS232, USB, etc. With the rapid development of the Internet of Things, many devices have been connected in wireless communication which enables long-range and low-power measurement in the industry.

This thesis is focused on the design and development of a low-power strain measurement system based on LoRa IoT technology, which requires accuracy strain gauge measurement, low-power consumption, and long-range wireless communication. Special contributions to the presented system include high-accuracy strain sensing circuit, low-power design, and long-range wireless communication. Additionally, a Graphic User Interface software is designed and developed on the computer to receive, plot the real-time strain data transfer from devices, and save to files. To verify the accuracy and effectiveness of the system, a comparative test is performed with the manufactured strain measurement device. Finally, the optimization of the system in the future is suggested. The hardware schematic, PCB files, firmware, and software are also listed in the appendix.



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