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基于NB-IoT的水土保持监测系统设计
引用本文:罗义凯,胡延苏,闫茂德,杨盼盼.基于NB-IoT的水土保持监测系统设计[J].计算机测量与控制,2022,30(2):51-57.
作者姓名:罗义凯  胡延苏  闫茂德  杨盼盼
作者单位:长安大学电子与控制工程学院,西安 710064
基金项目:陕西省自然科学基金2021JM-186,西安市科技计划 GXYD21.2。
摘    要:针对目前我国的水土流失以及水土保持系统低效等问题,根据新型的蜂窝窄带物联网技术,设计并实现了一种基于NB-IoT的水土保持监测系统;系统由多个传感器数据采集节点、远程监测云平台以及本地冗余数据存储系统组成;传感器数据采集节点采用STM32微控制器,负责采集地理信息、温湿度信息参数;并将采集的信息分别发送给本地服务器和云上服务器,登录云端服务器即可实时获取到终端采集的信息;实际测试结果表明:NB模块采用省电技术,耗流低至3μA,符合低功耗特性;同时测试了一天的丢包率,总丢包率低于0.15%,保证了数据的准确性;测试云平台数据显示时间与实际采集数据时间差在30 ms内,符合实时特性。

关 键 词:窄带蜂窝物联网  华为云平台  水土保持监测  STM32  SDI-12
收稿时间:2021/8/10 0:00:00
修稿时间:2021/9/8 0:00:00

Design of Soil and Water Conservation Monitoring System Based on NB-IoT
LUO Yikai,HU Yansu,YAN Maode,YANG Panpan.Design of Soil and Water Conservation Monitoring System Based on NB-IoT[J].Computer Measurement & Control,2022,30(2):51-57.
Authors:LUO Yikai  HU Yansu  YAN Maode  YANG Panpan
Affiliation:(School of Electronic and Control Engineering,Chang'an University,Xi'an 710064,China)
Abstract:Aiming at the problems of soil and water loss and low efficiency of soil and water conservation system in China, a soil and water conservation monitoring system based on NB-IOT is designed and implemented according to the new cellular narrowband Internet of things technology. The system consists of multiple sensor data acquisition nodes, remote monitoring cloud platform and local redundant data storage system; The sensor data acquisition node uses STM32 as the microcontroller, which is responsible for collecting geographic information, temperature and humidity information parameters. The collected information is sent to the local server and the cloud server respectively, and the information collected by the terminal can be obtained in real time by logging in to the cloud server. The actual test results show that the NB module adopts power-saving technology and the current consumption is as low as 3uA, which is in line with the characteristics of low power consumption; At the same time, the one-day packet loss rate is tested, and the total packet loss rate is less than 0.15%, which ensures the accuracy of the data. The difference between the data display time of the test cloud platform and the actual data collection time is within 30ms, which conforms to the real-time characteristics;
Keywords:NB-IoT  Huawei cloud platform  Soil and water conservation monitoring  STM32  SDI-12
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