基于BP神经网络算法的固体有机肥撒施装置控制系统设计*

doi:10.12398/j.issn.2096-7217.2021.01.002

智能化农业装备学报（中英文） ›› 2021, Vol. 2 ›› Issue (1): 13-19.DOI: 10.12398/j.issn.2096-7217.2021.01.002

基于BP神经网络算法的固体有机肥撒施装置控制系统设计^*

王鹏军¹, 陈永生¹, 孙冬霞², 吴爱兵¹, 郝延杰², 陈明江¹

1.农业农村部南京农业机械化研究所,南京市,210014;
2.滨州市农业机械化科学研究所,山东滨州,256600

收稿日期:2021-02-27 出版日期:2021-05-15 发布日期:2021-11-30
通讯作者: 陈永生,男,1964年生,江苏泰兴人,研究员,硕导;研究方向为农业机械化。E-mail: cys003@sina.com
作者简介:王鹏军,男,1986年生,河北唐县人,助理研究员;研究方向为农业机械智能化。E-mail: wpj8038@sina.com
基金资助:
*中国农业科学院基本科研业务费专项项目(Y2019LM02—03);山东省重点研发计划项目(2019GNC106114);山东省农机装备研发创新计划(2018YF024)

Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm^*

Pengjun Wang¹, Yongsheng Chen¹, Dongxia Sun², Aibing Wu¹, Yanjie Hao², Mingjiang Chen¹

1. Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, China;
2. Binzhou Agricultural Machinery Research Institute, Binzhou, 256600, China

Received:2021-02-27 Online:2021-05-15 Published:2021-11-30
Contact: Yongsheng Chen, Researcher, research direction: agricultural mechanization. E-mail: cys003@sina.com
About author:Pengjun Wang, Research Assistant, research direction: intelligent agricultural mechanization. E-mail: wpj8038@sina.com
Supported by:
*Special Fund for Basic Scientific Research of Chinese Academy of Agricultural Sciences (Y2019LM02—03); Shandong Key Research and Development Projects (2019GNC106114); Shandong Agricultural Machinery Equipment Innovation Plan (2018YF024)

摘要/Abstract

摘要： 为保证大田有机肥撒施量精确可控,符合大田作物生长需求,设计一个基于BP神经网络算法的固体有机肥撒施装置控制系统。该系统配套设备采用链板及挡肥板配合控制撒肥量的固体有机肥撒施机,控制系统以数据采集与监视控制系统(SCADA)为核心,人机交互由触摸屏实现。通过输入大田基础肥料需求量为控制算法提供基础数据,结合车辆行进速度,采用动量BP神经网络算法先行对挡肥板开度进行控制并为输肥链板转速控制提供输入值,再利用弹性BP神经网络算法对及链板转速进行控制。实验结果表明,控制系统能够根据设定的基础肥料需求量及车辆行进速度,实时改变挡肥板开度及撒肥机链板转速,撒肥量控制偏差小于9%。

关键词: 固体有机肥撒施机, 精准农业, SCADA, BP神经网络

Abstract: In order to ensure that the amount of organic fertilizer applied in the field is accurately controllable and meets the needs of field crop growth, a solid organic fertilizer application control system based on BP neural network algorithm is designed. The supporting equipment of the system adopts a solid organic fertilizer spreader with chain plate and fertilizer baffle to control the amount of fertilizer. The control system is developed based on supervisory control and data acquisition (SCADA), and the human-computer interaction is realized by the touch screen. The basic data of the control system is provided by the actual demand for basic fertilizer in farmland and input into the system through the input box. According to the speed of the vehicle, the momentum BP neural network algorithm is used to first control the opening size of the fertilizer blocking device and provide an input value for the rotating speed control of the fertilizer chain plates. Finally, the elastic BP neural network algorithm is used to control the rotating speed of the fertilizer chain plates. The experimental results show that the control system can change the opening size of the fertilizer blocking device and the speed of the chain plate of the fertilizer spreader in real time according to the set basic fertilizer demand and the traveling speed of the vehicle, and the control deviation of the fertilizer amount is less than 9%.

Key words: solid organic fertilizer spreader, precision agriculture, SCADA, BP neural network

中图分类号:

王鹏军, 陈永生, 孙冬霞, 吴爱兵, 郝延杰, 陈明江. 基于BP神经网络算法的固体有机肥撒施装置控制系统设计^*[J]. 智能化农业装备学报（中英文）, 2021, 2(1): 13-19.

Pengjun Wang, Yongsheng Chen, Dongxia Sun, Aibing Wu, Yanjie Hao, Mingjiang Chen. Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm^*[J]. Journal of Intelligent Agricultural Mechanization, 2021, 2(1): 13-19.

参考文献

[1] 张北赢, 陈天林, 王兵. 长期施用化肥对土壤质量的影响[J]. 中国农学通报, 2010, 26(11): 182-187.
Zhang Beiying, Chen Tianlin, Wang Bing. Effects of longterm uses of chemical fertilizers on soil quality [J]. Chinese Agricultural Science Bulletin,2010,26(11):182-187.
[2] 孙冬霞, 李明军, 吴爱兵, 等. 有机肥及其配套机械化技术的研究进展[J]. 中国农机化学报, 2019, 40(2): 72-80.
Sun Dongxia, Li Mingjun, Wu Aibing, et al. Research progress of organic fertilizer and its supporting mechanization technology [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(2): 72-80.
[3] 李洁, 吴明亮, 汤远菊, 等. 有机肥施肥机械的研究现状与发展趋势[J]. 湖南农业大学学报, 2013, 39(S1): 97-100.
[4] 孙冬霞, 樊平, 王鹏军, 等. 有机肥施肥机关键部件的有限元分析及试验[J]. 中国农机化学报, 2020, 41(7): 9-15.
Sun Dongxia, Fan Ping, Wang Pengjun, et al. Finite element analysis and experiment on key components of organic fertilizer applicator [J]. Journal of Chinese Agricultural Mechanization, 2020, 41(7): 9-15.
[5] 马标, 付菁菁, 许斌星, 等. 有机肥撒施技术及装备研究[J]. 中国农机化学报, 2019, 40(8): 1-6.
Ma Biao, Fu Jingjing,Xu Binxing, et al. Research on manure spreader technology and equipment [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(8): 1-6.
[6] 姚爱萍, 傅剑, 冯洋, 等. 有机肥撒肥机的现状分析与思考[J]. 农业开发与装备, 2019(3): 97-98.
[7] 赵进. 定量施肥机控制系统研究[D]. 重庆: 西南大学, 2017.
[8] 陈满, 金诚谦, 倪有亮, 等. 基于多传感器的精准变量施肥控制系统[J]. 中国农机化学报, 2018, 39(1): 56-60.
Chen Man, Jin Chengqian, Ni Youliang, et al. Study on control system of precise fertilizing machine based on multi-sensor information [J].Journal of Chinese Agricultural Mechanization, 2018, 39(1): 56-60.
[9] 张睿, 王秀, 周建军, 等. 肥料抛撒机抛撒系统幅宽控制技术[J]. 农业机械学报, 2012, 43(S1): 39-43.
Zhang Rui, Wang Xiu, Zhou Jianjun, et al. Breadth control of scatter system for fertilizer spreader [J]. Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(S1): 39-43.
[10] 张睿, 王秀, 赵春江, 等. 链条输送式变量施肥抛撒机的设计与试验[J]. 农业工程学报, 2012, 28(6): 20-25.
Zhang Rui, Wang Xiu, Zhao Chunjiang, et al. Design and experiment of variable rate fertilizer spreader with conveyor chain [J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(6): 20-25.
[11] Reyes J F, Esquivel W, Cifuentes D, et al. Field testing of an automatic control system for variable rate fertilizer application [J]. Computers and Electronics in Agriculture, 2015, 113: 260-265.
[12] 杨伟男, 陈永生, 吴爱兵, 等. 基于FPGA的有机肥撒施机控制系统研究[J]. 中国农机化学报, 2020, 41(4): 158-162.
Yang Weinan, Chen Yongsheng, Wu Aibing, et al. Research on control system of organic fertilizer spreading machine based on FPGA [J]. Journal of Chinese Agricultural Mechanization, 2020, 41(4): 158-162.
[13] 程占伟, 周珍珍, 陈娜娜, 等. 基于PLC程序和SCADA软件的风机信息采集上传系统设计[J]. 自动化技术与应用, 2020, 39(12): 77-81.
Cheng Zhanwei, Zhou Zhenzhen, Chen Nana, et al. Design of fan information collection and upload system based on PLC program and SCADA software [J]. Automation Technology and Application, 2020, 39(12): 77-81.
[14] Capano D. Make the most of your SCADA system [J]. Opflow, 2020, 46(8): 14-17.
[15] Meyers J. SCADA platform tool savings [J]. Control Engineering, 2020, 67(6): 16.
[16] 阚涛, 高哲, 杨闯. 采用分数阶动量的卷积神经网络随机梯度下降法[J]. 模式识别与人工智能, 2020, 33(6): 559-567.
[17] 杨文龙, 肖程望. 一种具有自适应动量因子的BP神经网络算法实现[J]. 计算机与数字工程, 2019, 47(5): 1199-1202.
[18] Zhang Y Y, Zhao J J, Liang W. The fault diagnosis of electric power metering system based on momentum BP neural network [J]. Applied Mechanics and Materials, 2014, 668-669: 724-728.
[19] 金保明, 卢光毅, 王伟, 等. 基于弹性梯度下降算法的BP神经网络降雨径流预报模型[J]. 山东大学学报(工学版), 2020, 50(3): 117-124.
[20] 谭文学, 赵春江, 吴华瑞, 等. 基于弹性动量深度学习神经网络的果体病理图像识别[J]. 农业机械学报, 2015, 46(1): 20-25.
Tan Wenxue, Zhao Chunjiang, Wu Huarui, et al. Fruit pathological image recognition based on elastic momentum deep learning neural network [J].Transactions of the Chinese Society for Agricultural Machinery, 2015, 46(1): 20-25.

基于BP神经网络算法的固体有机肥撒施装置控制系统设计^*

Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm^*

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

[1]	王星辰, 潘伟, 周立春, 侯英勇, Petr Bartos, 肖茂华. 基于CS-BP神经网络的巡检机器人位移补偿方法研究[J]. 智能化农业装备学报（中英文）, 2022, 3(2): 53-63.
[2]	毛婷婷, 董淑娴, 薛金林. 农业机器人车辆人机协作控制的动态功能分配研究^*[J]. 智能化农业装备学报（中英文）, 2020, 1(1): 24-31.

基于BP神经网络算法的固体有机肥撒施装置控制系统设计*

Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm*

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价

基于BP神经网络算法的固体有机肥撒施装置控制系统设计^*

Design of control system of solid organic fertilizer spreading device based on BP neural network algorithm^*