湖北农业科学 ›› 2024, Vol. 63 ›› Issue (1): 177-184.doi: 10.14088/j.cnki.issn0439-8114.2024.01.032

• 信息工程 • 上一篇    下一篇

基于AT80C51单片机的物联网农业智能灌溉系统设计与实现

车鹏飞   

  1. 西安文理学院信息工程学院,西安 710065
  • 收稿日期:2022-04-27 出版日期:2024-01-25 发布日期:2024-02-05
  • 作者简介:车鹏飞(1976-),男,陕西西安人,副教授,硕士,主要从事单片机技术开发与应用研究,(电话)13992840158(电子信箱)pengfeiche@xawl.edu.cn。

Design and implementation of IoT intelligent irrigation system for agriculture based on AT80C51 microcontroller

CHE Peng-fei   

  1. School of Information Engineering, Xi'an University, Xi'an 710065,China
  • Received:2022-04-27 Online:2024-01-25 Published:2024-02-05

摘要: 针对传统人工灌溉方式存在的灌溉不智能、不及时等问题,开发了一套基于AT80C51单片机的物联网灌溉系统,该系统能够通过温度与湿度传感器获取农田环境状况,并通过无线通信模块传输到远程数据中心。同时,该系统配套了灌溉系统阈值控制设备,可以根据需要对抽水泵进行调节控制。当系统判断农田土壤干旱时,环境条件触发系统阈值后及时抽水灌溉,使土壤始终保持适宜的温、湿度。经仿真试验和实际测试,以春、夏季不同生长阶段温室生菜为研究对象,智能灌溉下每株植物地上部分平均鲜重比传统人工灌溉至少增加11.31%;春、夏季智能灌溉的平均排水量分别比传统人工灌溉低64.96%和63.47%;春、夏季智能灌溉的灌溉用水效率分别比传统人工灌溉高68.03%和98.61%。该系统运行稳定,相关试验数据和试验现象符合预期。

关键词: AT80C51, 物联网, 农业智能灌溉系统, 传统人工灌溉

Abstract: An IoT irrigation system based on the AT80C51 microcontroller had been developed to address the issues of unintelligent and untimely irrigation in traditional artificial irrigation methods,the system could obtain the environmental conditions of farmland through temperature and humidity sensors and transmit them to remote data centers through wireless communication modules. At the same time, the system was equipped with irrigation system threshold control equipment, which could adjust and control the pumping pump as needed. When the system determined that the farmland soil was dry, the environmental conditions triggered the system threshold and pumped water for irrigation in a timely manner, ensuring that the soil always maintained a suitable temperature and humidity.Through simulation experiments and actual testing, greenhouse lettuce at different growth stages in spring and summer was taken as the research object. Under intelligent irrigation, the average fresh weight of each plant above ground increased by at least 11.31% compared to traditional artificial irrigation;the average drainage of intelligent irrigation in spring and summer was 64.96% and 63.47% lower than that of traditional artificial irrigation, respectively;the irrigation water efficiency of intelligent irrigation in spring and summer was 68.03% and 98.61% higher than that of traditional artificial irrigation, respectively. The system operated stably, and the relevant experimental data and phenomena met expectations.

Key words: AT80C51, IoT, intelligent irrigation system for agriculture, traditional artificial irrigation

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