EGU25-7, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-7
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
A Study on Infucencible Factors to LoRa LPWAN for monitoring System in Slopes
Chihping Kuo, Pochen Tsai, Xiaoxuan Tseng, and Meichun Liu
Chihping Kuo et al.
  • Geotechnical Disaster Prevention and Trackwork Research Center, Department of Civil and Construction Engineering, National Yunlin University of Science and Technology, Touliu Yunlin, Taiwan, Province of China (cpkuo@yuntech.edu.tw)

In Taiwan, due to the sparse population in mountainous areas, the 4G and 5G coverage is incomplete and the power system in the landslide area is not well-connected. Therefore, how to transmit the monitoring data back to the server and upload it to the cloud in real time during the monitoring of the slopes has always been a crucial issue in disaster prevention technology. Long-Range Low Power Wide Area Network (LoRa LPWAN) is a relatively new communication technology in recent years. According to the related literature and the project report made by our team, the temperature and humidity of the LoRa transmission system have a great influence on its Received Signal Strength Indicator (RSSI) under indoor experiments, and the higher the temperature, the lower the RSSI, and the higher the temperature, the higher the humidity will amplify the effect of RSSI, and the higher humidity, the higher RSSI, the higher humidity, the higher RSSI. The RSSI is higher in high humidity, and the transmission range is wider in urban areas and smaller in forested areas, and the transmission range is much smaller than that in urban areas. In this study, the effects of common climatic conditions in Taiwan and the changes in transmission distance on RSSI in forested areas were simulated and the effects of RSSI strength on the data leakage rate were collected. In addition, this study has also placed the LoRa system into the existing landslide sites for testing, and the results found that during rainfall, although there is no change in RSSI, the data leakage rate will be increased, and whether or not the communication sites are visible or not will produce a great change in RSSI and data leakage rate. In the number one site, the distance between the test stations is 766m and can be viewed, and the average RSSI is -88.0 dB. In the number two site, the distance between the test stations is 713m away and cannot be viewed, the RSSI is -112.1dB on average and the data leakage rate is high. Comparing overall factors, the terrain is the most influenceable factor in the performance of LoRa.

How to cite: Kuo, C., Tsai, P., Tseng, X., and Liu, M.: A Study on Infucencible Factors to LoRa LPWAN for monitoring System in Slopes, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7, https://doi.org/10.5194/egusphere-egu25-7, 2025.