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基于NB-IoT的花椒生长环境因子监测系统

梁裕巧, 李洪兵, 罗洋, 康云川, 宋小令, 向伟

梁裕巧, 李洪兵, 罗洋, 康云川, 宋小令, 向伟. 基于NB-IoT的花椒生长环境因子监测系统[J]. 中国农机化学报, 2021, 42(6): 166-173. DOI: 10.13733/j.jcam.issn.2095-5553.2021.06.26
引用本文: 梁裕巧, 李洪兵, 罗洋, 康云川, 宋小令, 向伟. 基于NB-IoT的花椒生长环境因子监测系统[J]. 中国农机化学报, 2021, 42(6): 166-173. DOI: 10.13733/j.jcam.issn.2095-5553.2021.06.26
LIANG Yu-qiao, LI Hong-bing, LUO Yang, KANG Yun-chuan, SONG Xiao-ling, XIANG Wei. Monitoring system for the growth environmental factors of Zanthoxylum bungeanum based on NB-IoT[J]. Journal of Chinese Agricultural Mechanization, 2021, 42(6): 166-173. DOI: 10.13733/j.jcam.issn.2095-5553.2021.06.26
Citation: LIANG Yu-qiao, LI Hong-bing, LUO Yang, KANG Yun-chuan, SONG Xiao-ling, XIANG Wei. Monitoring system for the growth environmental factors of Zanthoxylum bungeanum based on NB-IoT[J]. Journal of Chinese Agricultural Mechanization, 2021, 42(6): 166-173. DOI: 10.13733/j.jcam.issn.2095-5553.2021.06.26

基于NB-IoT的花椒生长环境因子监测系统

基金项目: 

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)

详细信息
    作者简介:

    梁裕巧,男,1996年生,重庆人,硕士,研究方向为农业工程与信息技术、农业物联网、无线传感器网络。E-mail:1028422481@qq.com

    通讯作者:

    李洪兵,男,1981年生,重庆人,博士,副教授,研究方向为无线传感器网络、控制工程与控制理论。E-mail:sxxylhb@163.com

  • 中图分类号: S573.9;S126

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

  • 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1 000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。
    Abstract: 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 1 000 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.
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出版历程
  • 收稿日期:  2020-08-18
  • 刊出日期:  2021-06-14

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