基于NB-IoT的花椒生长环境因子监测系统  

Monitoring system for the growth environmental factors of Zanthoxylum bungeanum based on NB-IoT

作　　者：梁裕巧 李洪兵[1] 罗洋 康云川 宋小令 向伟 Liang Yuqiao;Li Hongbing;Luo Yang;Kang Yunchuan;Song Xiaoling;Xiang Wei(School of Computer Science and Engineering,Chongqing Three Gorges University,Chongqing,404120,China;Agricultural and Rural Committee of Liangping District,Chongqing City,Chongqing,405200,China;Agriculture and Rural Committee of Jiangjin District,Chongqing City,Chongqing,402260,China)

机构地区：[1]重庆三峡学院计算机科学与工程学院,重庆市404120 [2]重庆市梁平区农业农村委,重庆市405200 [3]重庆市江津区农业农村委,重庆市402260

出　　处：《中国农机化学报》2021年第6期166-173,共8页Journal of Chinese Agricultural Mechanization

基　　金：重庆市自然基金项目(cstc2018jcyjAX0202);重庆市教委科学技术研究项目(KJQN202001229);重庆市人工智能+智慧农业学科群开放基金(ZNNYKFB201901)。

摘　　要：针对当前花椒产业种植基础设施薄弱,监测手段不足,信息化程度不高等问题,提出一种基于窄带物联网(Narrow Band Internet of Things,NB-IoT)的花椒生长环境监测系统。通过采用新型NB-IoT窄带通信技术与互联型微处理器STM32、物联网云平台和多种传感器结合设计一套深覆盖、强连接、低成本的花椒生长环境监测系统,有效降低组网成本,并将设计好的系统在江津区进行实地测验。测试结果表明:本系统采用非均匀部署方式使每个节点能量消耗逐渐变小,且网络生命周期在250 m范围内能达到1000轮的峰值;通信距离能适应10 km以上远程通信环境,在10 km范围内平均丢包率不超过0.35%;通信距离超过10 km时,平均丢包率在0.85%以内,经测试达到了预期效果。该系统设计弥补了传统种植中无法实时对花椒生长状态进行远程监测的弊端,为花椒的智能化种植提供一种可靠的技术方案,同时也为花椒种植人员提供一种高效的管理决策手段。Aiming at the problems of weak planting infrastructure,insufficient monitoring methods,and low degree of informatization in the current prickly ash industry,this paper proposes a Zanthoxylum bungeanum growing environment monitoring system based on Narrow Band Internet of Things(NB-IoT).By adopting new NB-IoT wireless communication technology,interconnected microprocessor STM32,IoT cloud platform and multiple sensors to design a set of deep-covering,strong-connected,low-cost Zanthoxylum bungeanum growing environment monitoring system,and by using non-uniform node deployment method,we observed improved network life cycle of each node,reduced network costs,and conducted field tests on the designed system in Jiangjin District.The test results show that the system uses a non-uniform deployment method to gradually reduce each node s energy consumption,and the network life cycle can reach a peak of 1000 rounds within a range of 250 m.The communication distance can adapt to a remote communication environment of more than 10 km.Within a range of 10 km,the average internal packet loss rate does not exceed 0.35%.When the communication distance exceeds 10 km,the average packet loss is within 0.85%,and the test has achieved the expected effect.The design makes up for the shortcomings of traditional planting that cannot remotely monitor the growth status of Zanthoxylum bungeanum in real-time.It provides a reliable technical solution for the intelligent planting of Zanthoxylum bungeanum.At the same time,it also provides an efficient management decision-making method for Zanthoxylum bungeanum growers.

关 键 词：NB-IoT 花椒 监测 STM32 传感器技术 

分 类 号：S24[农业科学—农业电气化与自动化]