摘要
土壤墒情监测对于农作物播种、预测产量、科学指导农业灌溉、提高农业用水效率具有重要现实意义。本文设计实现一体化的土壤墒情远程智能监测系统,实现土壤温度、土壤含水量的采集、存储、传输和应用管理。系统采用NB-IoT物联网低功耗传输方式,通过MQTT通讯协议将土壤墒情数据传送到云数据平台,通过应用软件开发技术研发云平台数据综合管理系统,实现对土壤数据的处理和分析。系统具有GPS定位防盗功能,采用锂电和太阳能共同供电模式;具有较好的扩展性,可根据监测需求扩展应用传感器的种类和数量。试验结果表明,土壤墒情远程智能监测系统数据采集准确高效,数据在NB-IoT无线网络中传输稳定,无数据丢包现象,数据传输平均响应时间小于1.7 s,数据查询响应时间小于1 s。系统应用部署实施简单、方便,具有良好的应用场景,可广泛应用于农业、林业、地质等方面土壤墒情监测及实验研究。
Soil moisture monitoring has important practical significance for crop sowing,yield prediction,scientific guidance of agricultural irrigation,and improvement of agricultural water use efficiency.An integrated remote intelligent monitoring system of soil moisture is designed to realize the collection,storage,transmission,and application management of soil temperature and soil moisture content in this paper.The low-power transmission mode of Nb-IoT is adopted to transmit the soil temperature and moisture data to the cloud data platform through the MQTT communication protocol.The cloud platform data integrated management system is developed to realize the processing and analysis of soil data through applying software development technology.The system has GPS positioning and anti-theft function and adopts the common power supply mode of lithium battery and solar energy.The system has good expansibility:the type and number of sensors can be expanded according to the monitoring needs.The experimental results show that the data collection of the remote intelligent monitoring system for soil moisture is accurate and efficient,the data transmission is stable in NB-IoT wireless network,and there is no packet loss phenomenon.The average response time of data transmission is less than 1.7 s,and the corresponding time of data query is less than 1 s.The system is easy to implement and has good application scenarios,which can be widely used in agriculture,forestry,geology,and other aspects of soil moisture monitoring and experimental research.
作者
王国杰
赵继春
王敏
王洪彪
Wang Guojie;Zhao Jichun;Wang Min;Wang Hongbiao(Handan Vocationa and Technical College,Handan,056001,China;Beijing Academy of Agriculture and Forestry Sciences,Beijing,100097,Chinma;The Research Center of Beijing Engineering Technology for Rural Remote Information Services,Beijing,100097,China)
出处
《中国农机化学报》
北大核心
2021年第5期208-214,共7页
Journal of Chinese Agricultural Mechanization
基金
国家自然科学基金(71603030)
北京市科技计划项目(Z181100002418009)
北京市农业科技项目(20200127)
北京市财政改革与发展项目。
