A wireless low-power safety monitoring acquisition system is developed by adopting LoRa communication, coprocessor and spectrum analysis to tackle the problems of scattered location of measuring points, danger of working condition, difficulty of guaranteeing wired communication and power supply of equipment, and unstable data of vibrating instrument. Consisting of low-power acquisition unit, data concentrator and equipment connection platform, the system transmits real-time wireless data with low-power operation of the automatic acquisition unit. The system is applied to the automatic monitoring of Danjiangkou Dam. Result manifests that the automatic monitoring result does not differ from artificial observation result in terms of accuracy and integrity obviously, and moreover, the frequency and timeliness of the monitored data are higher than those of the observed data. In conclusion, the proposed system solves the problem of safety monitoring automation for slopes and earth-rock dams in construction period, and has good application value and promotion prospect.
Key words
low power consumption /
LoRa communication /
Internet of Things /
safety monitoring acquisition system /
spectrum analysis
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] 许 卫,张 乾,周 武.基于无线网络的振弦式传感器微功耗测读系统的研制及应用[J].长江科学院院报,2015,32(10):134-138.
[2] 刘 琛,邵 震,夏莹莹.低功耗广域LoRa技术分析与应用建议[J].电信技术,2016(5):43-46,50.
[3] 郑 浩.LoRa技术在低功耗广域网络中的实现和应用[J].信息通信技术,2017,11(1):19-26.
[4] 孟祥儒,李 静,陶 陶,等.Quinn和Rife-Jane算法用于振弦式传感器频率的精确检测[J].数据采集与处理,2008,23(增刊1):136-139.
[5] 王大涛,滕德贵,胡 波.一种振弦采集仪自适应扫频激振方法[J].仪表技术与传感器,2016(2):103-106.
[6] 贺 虎,王万顺,田冬成,等.振弦式传感器激振策略优化[J].传感技术学报,2010,23(1):74-77.
[7] 周 玮,董全德,宋启祥.基于STM32的物联网底层平台研究与测试[J].沈阳工程学院学报(自然科学版),2017,13(4):370-375.