An ultra-low-power sediment concentration detecting system in runoff based on LoRa networking

doi:10.12302/j.issn.1000-2006.202304039

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2025, Vol. 49 ›› Issue (2): 161-168.doi: 10.12302/j.issn.1000-2006.202304039

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An ultra-low-power sediment concentration detecting system in runoff based on LoRa networking

YANG Pengcheng¹(), LIU Yanyi¹^,^*(), CHEN Shuchang¹, SHEN Yicong¹, SONG Chenyue²

1. College of Information Science and Technology,Nanjing Forestry University,Nanjing 210037,China
2. College of Forestry and Grassland,College of Soil and Water Conservation,Nanjing Forestry University,Nanjing 210037,China

Received:2023-04-28 Accepted:2023-09-03 Online:2025-03-30 Published:2025-03-28
Contact: LIU Yanyi E-mail:1223035252@qq.com;yyliu@njfu.edu.cn

Abstract

Abstract:

【Objective】Soil erosion represents a critical issue in China. It is necessary to quantitatively evaluate soil erosion and the benefits of soil conservation, and to understand the situation of soil erosion and the effectiveness of treatment measures. This study involves effectively and reliably detecting the soil erosion status and providing a dependable data foundation for researchers. 【Method】The study used an internet of things (IoT) architecture to design an ultra-low-power sediment concentration detection system in runoff based on long range radio (LoRa) networking. The Standby-CAD with LoRa was employed to achieve ultra-low power consumption. 【Result】This system reduced energy consumption by 40% and increased standby time by 8.5 times compared to traditional techniques. The ECharts framework and Huawei cloud platform were utilized to design a visualization screen for data visualization. Through multiple tests, the average value of the relative error of data measured by this system was 3.08% compared to the traditional gravity method. 【Conclusion】This system can continuously detect the runoff sediment concentration and also rainfall in runoff plots on hillsides in real-time. Compared to traditional IoT technical solutions, this system demonstrates low power consumption, high testing accuracy, data visualization, and also reduced production and maintenance costs, providing accurate and effective measurement data and solutions for related production and research activities.

Key words: sediment concentration detection, ultra-low power consumption, long rang radio (LoRa), runofff

CLC Number:

YANG Pengcheng, LIU Yanyi, CHEN Shuchang, SHEN Yicong, SONG Chenyue. An ultra-low-power sediment concentration detecting system in runoff based on LoRa networking[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2025, 49(2): 161-168.

Figures/Tables 11

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An ultra-low-power sediment concentration detecting system in runoff based on LoRa networking

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