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基于NB-IoT的水培智能监控系统设计与试验

Design and experiment of hydroponic intelligent monitoring systems based on NB-IoT

  • 摘要: 与传统土壤栽培相比,水培可以使作物更快生长并减少虫害。由于作物持续从营养液中吸收养分,需要对水培营养液的水质参数进行及时和准确地监测并根据需要补充养分。本文针对水培生菜生长过程,设计并试验一个基于窄带物联网(Narrowband Internet of Things, NB-IoT)的水培智能监控系统,通过微信公众号的用户界面实时监测水培环境参数,结合模糊控制方法,根据操作经验及作物需求调节营养液水质参数。由试验结果可知,本系统数据通信平均丢包率为0.76%;对初始pH值为7.3,电导率为1.2 mS/cm的营养液进行调控时,pH值和电导率分别在第68 s和第63 s后保持稳定的预设值;智能监控系统可以在作物生长周期内将营养液水质参数稳定维持在有利于作物生长的范围内。

     

    Abstract: Compared with traditional soil cultivation, hydroponics can make crops grow faster and reduce pests. As the crops continue to absorb nutrients from the nutrient solution, the water quality parameters of the hydroponic nutrient solution need to be monitored in a timely and accurate manner, and nutrients are supplemented as needed. This paper designs and tests an intelligent monitoring system based on the Narrowband Internet of Things(NB-IoT) for the growth process of hydroponic lettuce, Real-time monitoring of hydroponic environmental parameters through the user interface of WeChat, combined with fuzzy control methods, adjusting water quality parameters of nutrient solution based on expert experience and crop needs. It can be seen from the test results that the average packet loss rate of data communication in this system is 0.76%. When adjusting the nutrient solution with an initial pH of 7.3 and conductivity of 1.2 mS/cm, the pH and conductivity will maintain stable preset values after 68 s and 63 s, respectively. The intelligent monitoring system can stably maintain the water quality parameters of the nutrient solution within the range beneficial to crop growth during the crop growth cycle.

     

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