基于NB-IoT的大田农业环境远程监测系统设计
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合肥大学先进制造工程学院,安徽 合肥 230601

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安徽省作物智慧种植与加工技术工程研究中心开放课题(ZHKF06);安徽省质量工程项目(2020xsxxkc387)。


Design of NB-IoT-Based Remote Environmental Monitoring System for Agricultural Fields
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School of Advanced Manufacturing Engineering, Hefei University, Hefei 230601, Anhui, China

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    摘要:

    实时全面地监测田间农业环境信息,可以帮助农民及时了解田间作物生长环境和肥力,为农田灌溉、作物生长建模和病虫害预测提供有价值的信息。为了满足农业环境监测的实际要求,根据国家标准和地方标准等规定的环境参数监测指标的要求,开发了基于窄带物联网(NB-IoT)的田间农业多个环境参数实时监测系统。该系统能够实时监测空气温度、相对湿度、CO2浓度、照度、土壤湿度、土壤温度、pH值和电导率(EC)8个关键环境参数;传感器节点被部署到农田现场以实时监测环境数据,并以无线方式通过NB-IoT基站把数据传输到OneNET云平台;种植户可以通过手机或电脑访问云平台,获取田间农业的相关环境数据。实验结果表明,该系统能够实现对农田环境参数的准确实时采集及远程传输,能够满足实际农田农业环境的实时监测要求,可以显著提高我国农田环境感知的自动化水平和生产效率。

    Abstract:

    Real-time and comprehensive monitoring of environmental information in agricultural fields can help farmers keep abreast of the field crop growth environment and fertility, and provide valuable information for farmland irrigation, crop growth modeling, and pest and disease prediction. In order to meet the actual requirements of agricultural environmental monitoring, a real-time monitoring system for multiple environmental parameters in agricultural fields based on narrow band internet of things (NB-IoT) has been developed according to the requirements of environmental parameter monitoring indexes stipulated in national standards and local standards and so on. Eight key environmental parameters such as air temperature, relative humidity, CO2 concentration, illuminance, soil humidity, soil temperature, pH and electric conductivity (EC) are monitored in real time. The sensor nodes are deployed in the farmland field to monitor environmental data in real-time, and wirelessly transmit the data to the OneNET cloud platform via NB-IoT base stations. Growers can access the cloud platform via cell phones or computers to obtain relevant environmental data for agricultural fields. The experimental results show that the system can realize accurate acquisition and remote transmission of environmental parameters, and can meet the real-time monitoring requirements of the actual agricultural field environment. The system, if widely popularized, can significantly improve the environmental monitoring for agricultural fields and the agricultural production efficiency.

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徐振峰,霍冬冬,邵芸艳,孙强.基于NB-IoT的大田农业环境远程监测系统设计[J].西昌学院学报(自然科学版),2024,38(2):43-50.

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  • 收稿日期:2023-11-30
  • 最后修改日期:2024-04-14
  • 录用日期:2024-04-25
  • 在线发布日期: 2024-09-14