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脉冲式蒸发器水面蒸发量手机在线检测装置研制
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  • 英文篇名:Design of water surface evaporation on-line detection device of pulse type evaporator
  • 作者:曹春号 ; 杨启良 ; 李加念 ; 刘小刚 ; 喻黎明
  • 英文作者:Cao Chunhao;Yang Qiliang;Li Jianian;Liu Xiaogang;Yu Liming;College of Modern Agricultural Engineering, Kunming University of Science and Technology;
  • 关键词:蒸发 ; 蒸发器 ; 传感器 ; 脉冲式 ; 在线检测 ; 水位 ; 智能检测
  • 英文关键词:evaporation;;evaporators;;sensors;;pulse type;;on-line detection;;water level;;intelligent detection
  • 中文刊名:NYGU
  • 英文刊名:Transactions of the Chinese Society of Agricultural Engineering
  • 机构:昆明理工大学现代农业工程学院;
  • 出版日期:2019-01-08
  • 出版单位:农业工程学报
  • 年:2019
  • 期:v.35;No.353
  • 基金:国家自然科学基金(51779113、51379004);; 昆明理工大学学生课外学术科技创新基金课题项目(2018YB341)
  • 语种:中文;
  • 页:NYGU201901014
  • 页数:8
  • CN:01
  • ISSN:11-2047/S
  • 分类号:114-121
摘要
为提高水面蒸发量的智能检测水平,研制了一种可以通过手机进行水面蒸发量在线检测的装置。该装置主要由整体结构稳定装置、传感器位置固定装置、调节装置、检测和脉冲控制模块、电源模块及上位机控制计算显示存储软件、物联网服务器、数据传输模块组成。采用水位检测传感器探头接触水面后,通过传感器探头的电平状态变化,对单片机所发出的脉冲进行计数,推算水面蒸发量,进行灌溉区间的动态计算,实现了水面蒸发量的在线检测。结果表明:1)装置运行可靠:水位传感器回到初始位置的成功率和单片机开发板接收到检测指令的成功率均为100%;2)装置运行稳定,检测精度较高:试验测定的脉冲数的最大极差为3,与人工测量值相比,该装置测定值最大相对误差为2.04%;3)单片机所发出的脉冲数和水位高度呈现线性关系,决定系数R2达到1;4)田间试验结果表明,该装置适应性较好,性能良好,最小相对误差为0.85%,最大相对误差为2.68%。可见,该装置运行稳定可靠,测量精度较高,不仅通过手机实时查看数据,而且通过手机远程控制检测过程,提高了水面蒸发量在线检测的智能化水平,研究可为智能化节水灌溉的灌溉定额提供依据。
        In this research, a new water surface evaporation on-line detection device of pulse type evaporator was designed. The device was mainly composed of a whole structure stabilization device, a sensor position fixing device, a sensor position adjustment device, an Arduino Uno development board, a water level sensor, an A4988 drive board, a power module, upper computer control calculation and display storage software, Internet of Things server and data transmission module. The whole structure stabilization device was composed of a device base, a supporting rod fixed base and a supporting rod. The sensor position fixing device was composed of a motor fixed rod, a guide rail fixed pole and a probe fixed rod. The sensor position adjustment device was composed of a water level sensor, a coupler, a leading screw, a screw nut, a stepping motor, and a limit switch. The water level sensor was installed on the probe fixed rod. The limit switch was installed under the pole of the guide rail. The water level sensor could provide analog level signal and input to the interface of Arduino Uno. The 42BYGH48 stepping motor was driven by a A4988 drive board, and the drive board was supplied with pulse by Arduino Uno development board. The main interface of the upper computer was designed by Xcode software. The main functions of the mobile terminal software were to display device ID, send measurement instructions to the pulse type on-line detection device for evaporator evaporation and control its detection operation. After a detection operation was completed, it could receive message from the Internet of Things server and view the measured water level in real time; The water level value and irrigation interval parameters were calculated dynamically according to the water level value and irrigation interval parameters. The measured value of each water level were stored in the Internet of Things server. The historical measurement and its corresponding measurement time and trend map were displayed on the mobile app. The data could be viewed and analyzed at any time. In order to evaluate the accuracy and stability of the device. A total of 3 tests were carried out for each water level. The infrared optical sensor detected the change of the level of the sensor probe after the probe touched the water surface, and then calculate the water surface evaporation. Based on this sensor, the online detection of water surface evaporation was realized. The performance of the device was tested by the water surface height test of tap water. The results showed that: 1) the success rate of the water level sensor returning to the initial position was 100% in the 39 tests for the 13 water level levels. During the 39 tests, the success rate of the singlechip microcomputer development board receiving the detection instruction was 100%, indicating that the device runs reliably; 2) in the 39 tests, the maximum range of the number of pulses measured by 3 times at the same level was 3, indicating that the device runs stably; 3) The maximum relative error between water level measured by the device and the artificial method was 2.04%, indicating that the device has high detection accuracy; 4) The results of field tests showed that the device had good adaptability and good performance. The minimum relative error was 0.85% and the maximum relative error was 2.68%. The device can be used as an online detection platform for evaporator evaporation.
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