猕猴桃土壤墒情智能控制系统的设计  被引量:1

Design of intelligent control system for kiwifruit soil moisture

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作  者:邓杰 文家雄 DENG Jie;WEN Jiaxiong(College of Intelligent Control,Sichuan Vocational College of Information Technology,Guangyuan 628040,Sichuan,China)

机构地区:[1]四川信息职业技术学院智能控制学院,四川省广元市628040

出  处:《农业装备与车辆工程》2023年第5期43-46,共4页Agricultural Equipment & Vehicle Engineering

基  金:2021年度广元市科技计划项目(前补助项目)(21ZDYF0022);广元市人工智能技术工程中心项目(2021KB03)。

摘  要:为提高猕猴桃种植生产效率,降低水肥资源浪费和提高光照利用率,设计了一种同时实现智能精准节水灌溉、光照自动补偿的实时监控系统。该系统以STC单片机为主控制器,搭建相应的外围电路,采用485型土壤温度、湿度、pH值及盐分四合一传感器实时检测土壤墒情,采用光电传感器实时监测环境光照强度,通过ESP8266物联网模块将土壤墒情和光照强度信号传输到手机远程控制APP(blinker APP),实现远程自动灌溉控制和智能光照补偿功能。为实现对猕猴桃生长的实时监控,系统搭载了视频监控功能。测试表明,该系统能实现自动光照补偿和自动灌溉等功能,控制性能较好,设备简单,价格低廉,具有一定的推广价值。In order to improve the production efficiency of kiwifruit planting,reduce the waste of water and fertilizer resources and improve the utilization rate of light,based on STC single-chip microcomputer,this system designs a system that can simultaneously achieve intelligent and accurate water-saving irrigation,automatic light compensation and real-time monitoring.The system takes STC single-chip microcomputer as the main controller and builds the corresponding peripheral circuit.The 485 type soil temperature,humidity,pH value and salinity sensor is used to detect the soil moisture in real time.Photoelectric sensors are used to monitor the ambient light intensity in real time.Through the ESP8266 Internet of Things module,the soil moisture signal and light intensity signal are transmitted to the mobile phone remote control APP(blinker APP)to realize the functions of remote automatic irrigation control and intelligent light compensation.Meanwhile,in order to meet the needs of real-time monitoring of kiwi fruit growth,the system is also equipped with video monitoring function.The test shows that the system can realize the functions of automatic light compensation and automatic irrigation,has good control performance,simple equipment and low price,and has certain popularization value.

关 键 词:STC单片机 土壤墒情 远程控制 

分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]

 

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