| 无土栽培远程灌溉控制系统 |
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| 引用本文： | 王佳明,陈思,荆腾,王颢,贺照明.无土栽培远程灌溉控制系统[J].排灌机械工程学报,2020,38(9):959-965. |
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| 作者姓名： | 王佳明 陈思 荆腾 王颢 贺照明 |
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| 作者单位： | 江苏大学国家水泵及系统工程技术研究中心,江苏镇江212013;德州理工大学机械工程系,美国 德克萨斯州 拉伯克79409 |
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| 基金项目： | 国家自然科学基金;江苏省自然科学基金;江苏省博士后科研项目 |
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| 摘 要： | 针对无土栽培灌溉控制方式人工劳动强度大、精度低,智能化程度不够的问题,设计了一套无土栽培远程灌溉控制系统.以MSP430单片机为检测与控制核心,进行灌溉部件驱动控制,并结合相应传感器实时采集营养液监控参数.基于Qt编程设计了配套的上位机软件,对作物灌溉状况进行可视化监控,具有监测值设定、灌溉方式选择、监控参数实时显示、数据保存与历史数据查询等功能.使用GPRS无线传输技术实现上位机与下位机之间的数据同步通信,将BP神经网络应用于营养液电导率EC和pH值的调控中,经监测值调控试验表明,该系统能实现远距离稳定监测与控制,EC调控误差不超过0.11 mS/cm,pH值调控误差不超过0.08.
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| 关 键 词： | 无土栽培 灌溉控制 远程控制 BP神经网络 MSP430单片机 Qt编程 GPRS无线传输 |
| 收稿时间： | 2019-02-15 |
Remote irrigation control system for soilless culture |
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| WANG Jiaming,CHEN Si,JING Teng,WANG Hao,HE Zhaoming.Remote irrigation control system for soilless culture[J].Journal of Drainage and Irrigation Machinery Engineering,2020,38(9):959-965. |
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| Authors: | WANG Jiaming CHEN Si JING Teng WANG Hao HE Zhaoming |
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| Institution: | 1. National Research Center of Pumps, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2. Department of Mechanical Enginee-ring, Texas Tech University, Lubbock, Texas 79409, USA |
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| Abstract: | In view of the problems such as high labor intensity, low precision, and insufficient intelligence in irrigation control mode of soilless culture in China, a remote irrigation control system was designed for soilless culture in this paper. The single chip microcomputer MSP430 is the core of detection and control, and performs the drive control of irrigation components, and combines with corresponding sensors to acquire monitoring parameters of nutrient solution in real time. The upper computer software was designed based on Qt programming to monitor the irrigation status of crops. The software has a number of functions, for example, setting of monitoring values, selection of irrigation modes, real-time display of monitoring parameters, data storage and query of historical data and so on. GPRS wireless transmission technology was used for synchronous data communication between the upper and lower computers. Back propagation(BP)neural network was applied to the regulation of conductivity(EC)and pH values of nutrient solution. The monitoring value regulating experiments showed that the system could realize remote stable monitoring and control, the regulation errors in EC and pH values were no more than 0.11 mS/cm and 0.08, respectively. |
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| Keywords: | soilless culture irrigation control remote control BP neural network MSP430 microcontroller Qt programming GPRS wireless transmission |
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