Research on measurement and control system for agricultural facilities group based on the Internet of Things*

doi:10.12398/j.issn.2096-7217.2020.02.006

Abstract

Abstract: Aiming at the real-time monitoring and control of the production environment of large-scale agricultural facilities, the article introduces in detail the hardware design of parameter collection nodes, control nodes, and coordinator gateway nodes based on the Internet of Things. The ZigBee protocol is used to realize the establishment and management of the greenhouse group production environment parameter LAN. The developed management software realizes the real-time collection of field sensor equipment data of agricultural production system and the control of electromechanical equipment by mobile client and web client. The system acquisition, control, and routing nodes all use CC2530 single-chip microcomputer; the coordinator node uses ESP8266 wireless network module to connect to the cloud server platform. User management software realizes real-time display of collected data, parameter setting, release of control commands as well as storage and query of historical data. The field application test shows that the system has fulfilled the design requirements. It has the advantages of low cost and convenient maintenance, and can meet production needs, therefore it is suitable for widespread promotion.

CLC Number:

Jiwei Ma, Dongdong Song, Zhipeng Lin, Xiong Gao. Research on measurement and control system for agricultural facilities group based on the Internet of Things^*[J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2020, 1(2): 44-50.

References

[1] 张烈平, 杨帆. 基于ZigBee温室监控系统设计[J]. 中国农机化学报, 2013(2): 113-116.
Zhang Lieping, Yang Fan. Design on greenhouse monitoring system based on ZigBee technology [J]. Journal of Chinese Agricultural Mechanization, 2013(2): 113-116.
[2] 高峰. 基于无线传感器网络的设施农业环境自动监控系统研究[D]. 杭州:浙江大学, 2009.
Gao Feng. Research on the automatic monitoring system based on wireless sensor networks for facility agricultural environment [D]. Hangzhou: Zhejiang University Technology, 2009.
[3] 杨文奇, 刘希光, 郭彦克, 等. 温室环境物联网监测系统的设计[J]. 中国农机化学报, 2017(4): 105-108.
Yang Wenqi, Liu Xiguang, Guo Yanke, et al. Design of Internet of Things monitoring system for greenhouse environment [J]. Journal of Chinese Agricultural Mechanization, 2017(4): 105-108.
[4] 代国勇. 基于STM32单片机温室大棚环境的智能控制系统设计及实现[D]. 石家庄: 石家庄铁道大学, 2017.
Dai Guoyong. Design and implementation of greenhouses environment intelligent control system based on stm32 single chip microcomputer [D]. Shijiazhuang: Shijiazhuang Tiedao University, 2017.
[6] 孙玉文. 基于无线传感器网络的农田环境监测系统研究与实现[D]. 南京: 南京农业大学, 2013.
Sun Yuwen. Research and implementation of field environment monitoring system based on wireless sensor networks [D]. Nanjing: Nanjing Agricultural University, 2013.
[7] 冯立波, 潘丽静, 左国超. 基于农田信息采集的传感器网络网关的设计与实现[J]. 中国农机化学报, 2014(6): 254-258.
Feng Libo, Pan Lijing. Design and implementation of sensor network gateway based on farmland information acquisition [J]. Journal of Chinese Agricultural Mechanization, 2014(6): 254-258.
[8] Jeffrey Travis, Jim Kring. LabVIEW大学使用教程(第三版)[M]. 北京: 电子工业出版社, 2008.
[9] 王小强, 欧阳骏, 黄宁淋. ZigBee无线传感器网络设计与实现[M]. 北京: 化学工业出版社, 2012.
[10] 杜军朝, 刘惠, 刘传益, 等. ZigBee技术原理与实战[M]. 北京: 机械工业出版社, 2019: 27-38.
[11] 彭占武, 王雪, 袁洪印. 基于ZigBee的鸡舍环境无线检测系统设计与实现[J]. 中国农机化学报, 2015(2): 238-241.
Peng Zhanwu, Wang Xue, Yuan Hongyin. Design and implementation of the henhouse environment wireless monitoring system based on ZigBee [J]. Journal of Chinese Agricultural Mechanization, 2015(2): 238-241.
[12] 王建. 用于设施农业的智能传感器网络化模块设计与实现[D]. 杭州: 浙江大学, 2006.
Wang Jian. Development of networked module for smart sensors in facility agricultural [D]. Hangzhou: Zhejiang University Technology, 2006.
[13] 杜文. Flutter实战[M]. 机械工业出版社, 2020.
[14] 蔡佳伽, 苏晓辉, 苏彦莽. 应用于温室控制系统的多功能安卓平台的研究[J]. 中国农机化学报, 2016(8): 42-45.
Cai Jiajia, Su Xiaohui, Su Yanmang. Research of multi-functional Android platform applies to greenhouse control system [J]. Journal of Chinese Agricultural Mechanization, 2016(8): 42-45.
[15] 杜志伟, 郝凤琦, 程广河, 等. 基于物联网的农机状态监控系统研究[J]. 中国农机化学报, 2019, 40(11): 189-194.
Du Zhiwei, Hao Fengqi, Cheng Guanghe, et al. Research on agricultural machinery state monitoring terminal based on Internet of Things [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(11): 189-194.
[16] 王鹏辉, 方素平, 黎奇. 基于ESP8266的低成本物联网连栋温室控制管理系统设计[J]. 中国农机化学报, 2019, 40(12): 53-58.
Wang Penghui, Fang Supping, Li Qi. Design of low-cost IoT mutil-span greenhouse control and management system based on ESP8266 [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(12): 53-58.
[17] 朱均超, 张强, 赵岩. 基于物联网的农业大棚环境监测系统设计[J]. 中国农机化学报, 2018, 39(9): 76-80.
Zhu Junchao, Zhang Qiang, Zhao Yan. Design of environmental monitoring system for agricultural greenhouse based on Internet of Things [J]. Journal of Chinese Agricultural Mechanization, 2018, 39(9): 76-80.
[18] 王茂励, 王浩, 董振振, 等. 基于物联网技术的数字农田信息监测系统研究[J]. 中国农机化学报, 2019, 40(9): 158-163, 180.
Wang Maoli, Wang Hao, Dong Zhenzhen, et al. Research on digital farmland information monitoring system based on Internet of Things technology [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(9): 158-163, 180.
[19] 宋玉港, 樊桂菊, 杜兆辉, 等. 基于物联网的智能花卉培育系统[J]. 中国农机化学报, 2018, 39(2): 78-82, 88.
Song Yugang, Fan Guiju, Du Zhaohui, et al. Intelligent flower cultivation system based on Internet of Things [J]. Journal of Chinese Agricultural Mechanization, 2018, 39(2): 78-82, 88.
[20] 程力, 郭晓金, 谭洋. 智能农业大棚环境远程监控系统的设计与实现[J]. 中国农机化学报, 2019, 40(6): 173-178.
Cheng Li, Guo Xiaojin, Tan Yang. Design and implementation of remote monitoring system for intelligent agricultural greenhouse environment [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(6): 173-178.
[21] 王笑宇, 汤震. 基于ZigBee技术的连栋温室环境调节系统设计[J]. 中国农机化学报, 2019, 40(2): 175-179.
Wang Xiaoyu, Tang Zhen. Design and research of environmental regulation system ofmulti-span greenhouse based on ZigBee technology [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(2): 175-179.
[22] 李杰, 陈慧丽. 基于语音识别和PLC的温室智能灌溉控制系统设计[J]. 中国农机化学报, 2019, 40(9): 66-71.
Li Jie, Chen Huili. Design of greenhouse intelligent irrigation control system based on speech recognition and PLC [J]. Journal of Chinese Agricultural Mechanization, 2019, 40(9): 66-71.

[1]	HUANG Chenglong, ZHANG Zhongfu, LU Zhihao, ZHANG Xiaojun, ZHU Longfu, YANG Wanneng. Leaf grading for cotton verticillium wilt based on VFNet-Improved and Deep Sort [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(2): 12-21.
[2]	YANG Liang, WANG Hui, CHEN Ruipeng, SHENG Qingkai, YUAN Zhen, XIONG Benhai. Advances in pig-specific sensors [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(2): 22-34.
[3]	XIAO Zhangna, LUO Lufeng, CHEN Mingyou, WANG Jinhai, LU Qinghua, LUO Shaoming. Detection of grapes in orchard environment based on improved YOLO-v4 [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(2): 35-43.
[4]	LI Yida, WANG Liuyang, HAN Yuxiao, LI Shuai, LI Han, ZHANG Man. Crop image autonomous acquisition system based on ROS system [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(2): 53-62.
[5]	NIE Pengcheng, QIAN Cheng, QIN Ruimiao, DENG Shuiguang, SUN Chongde, HE Yong. Development status and trends of space-air-ground integrated information sensing and fusion technology [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(2): 1-11.
[6]	Tang Yurong, Shen Mingxia, Xue Hongxiang, Chen Jinxin. Development status and prospect of artificial intelligence technology in livestock and poultry breeding [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(1): 1-16.
[7]	Yan Kai, Gao Yue, Dai Baisheng, Sun Hongmin, Yin Yanling, Shen Weizheng. Research on detection of aggressive behavior among gregarious pigs based on anchor-free temporal localization [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(1): 17-25.
[8]	Han Guofeng, , Bai Zongchun, , Li Yansen, Li Chunmei. Current approaches and applications for in ovo sexing of eggs: A review [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(1): 26-35.
[9]	Yuan Zhiyu, Zhao Yunhui, Wang Song, Zhao Zhuo, Wu Yujin, Wang Chunxin. Development and application of management and control system for intellectual sheep breeding based on Internet of Things platform [J]. Journal of Intelligent Agricultural Mechanization, 2023, 4(1): 54-61.
[10]	Li Yibai, Cao Gunagqiao. Research on the scheduling model of flying defense team based on simulated annealing algorithm [J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2022, 3(2): 1-9.
[11]	Bai Xuefeng, Chang Jiangxue, Teng Zhaoli, Lu Zhixiong. Research progress on key technologies of intelligent agricultural tractors in China [J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2022, 3(2): 10-21.
[12]	Liu Jianlong, Bai Zongchun, Huo Lianfei, Meng Lili, Wang Huixin. Research on temperature and humidity spatial distribution of fermented mattress based on wireless sensor network [J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2022, 3(2): 22-27.
[13]	Wang Zhuoxuan, Wang Lihui, Xu Ninghui, Li Yong, Shi Jiachen. Research on the control strategy of sideslip and hysteresis of intelligent harvesting robot [J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2022, 3(2): 37-44.
[14]	Bai Yungang, Zhu Zhongzheng, Hou Yingyong, Zhou Lichun, Xiao Maohua, Zou Xiuguo. Design and test of wireless charging module for inspection robot in chicken farm [J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2022, 3(2): 45-52.
[15]	Wang Xingchen, Pan Wei, Zhou Lichun, Hou Yingyong, Petr Bartos, Xiao Maohua. Research on displacement compensation method of inspection robot based on CS-BP neural network [J]. Journal of Intelligent Agricultural Mechanization (in Chinese and English), 2022, 3(2): 53-63.

Research on measurement and control system for agricultural facilities group based on the Internet of Things^*

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments