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基于NB-IoT的农业灌溉水渠远程监测系统设计
引用本文:高萌萌,孙志刚,曹娜,刘志,张敏,王国涛.基于NB-IoT的农业灌溉水渠远程监测系统设计[J].计算机测量与控制,2022,30(7):70-77.
作者姓名:高萌萌  孙志刚  曹娜  刘志  张敏  王国涛
作者单位:黑龙江大学,,,,,黑龙江大学
基金项目:国家自然科学基金(51607059);黑龙江省自然科学基金(QC2017059,JJ2020LH1310);黑龙江省博士后基金(LBH-Z16169);黑龙江省高校基本科研业务费(HDRCCX-201604,2020-KYYWF-1006);黑龙江省教育厅科技成果培育(TSTAU-C2018016);七台河市科技计划项目(20308C);黑龙江大学研究生创新科研项目(YJSCX2021-067HLJU)
摘    要:为了满足农田信息采集与智能水利检测技术的发展,进一步优化现有的智能监测水渠水利系统,设计了一套基于NB-IoT的农业灌溉水渠远程监测系统,系统包含监测节点、NB-IoT通信模块和远程服务器三部分。监测节点采用STM32F103RCT6为微控制器,定点采集所在位置的农田信息与灌溉水渠信息,并通过NB-IoT通信模块发送至远程服务器。远程服务器一方面解析接收的参数信息,实现数据显示与地图定位等功能,另一方面将接收的参数信息保存至TXT文件中,便于后续数据分析与历史查询等操作。在远程服务器设置参数阈值信息,可以反馈至监测节点完成预警判断与远程报警。测试结果表明:监测节点以3小时为时间间隔进行一次参数采集,参数信息到达远程服务器的时间差控制在80 ms以内,地图显示的定位误差在2 m以内,达到了系统设计的参数要求,为水渠水力智能化监测提供了有力保障。

关 键 词:NB-IoT  远程监测  参数采集  预警阈值  远程服务器
收稿时间:2022/2/19 0:00:00
修稿时间:2022/4/24 0:00:00

Design of Remote Monitoring System for Agricultural Irrigation Canals Based on NB-IoT
Abstract:In order to meet the technology development of farmland information collection and intelligent water conservancy detection, and to further optimize the existing intelligent monitoring system of canal water conservancy, a set of remote monitoring system for agricultural irrigation canals based on NB-IoT was designed. The system includes three parts: monitoring node, NB-IoT communication module and remote server. The monitoring node taken the STM32F103RCT6 as the microcontroller to collect farmland information and irrigation channel information at the fixed time point, and sent it to the remote server through the NB-IoT communication module. On the one hand, the remote server parsed the received parameter information, to realize functions such as data display and map positioning. On the other hand, the remote server saved the received parameter information to the TXT file, which is convenient for operations of subsequent data analysis and historical query. The parameter threshold information can be set on the remote server, which can be fed back to the monitoring node to complete early warning judgment and remote alarm. Test results show that the monitoring node collects parameters once at an interval of three hours, the time difference of parameter information reaching the remote server is controlled within eighty milliseconds, and the positioning error displayed on the map is within two meters, which meets the parameter requirements of the system design and provides a strong guarantee for the intelligent monitoring of canal hydraulics.
Keywords:NB-IoT      remote monitoring      parameter collection      warning threshold      remote server
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