Design of intelligent feeding IoT system for lactating sows

LÜ Enli; HE Xinyuan; LUO Yizhi; WANG Feiren; XIA Jingjing; WU Fan; ZENG Zhixiong

doi:10.7671/j.issn.1001-411X.202203003

Journal of South China Agricultural University > 2023 > 44(1): 57-64. > DOI: 10.7671/j.issn.1001-411X.202203003

LÜ Enli, HE Xinyuan, LUO Yizhi, et al. Design of intelligent feeding IoT system for lactating sows[J]. Journal of South China Agricultural University, 2023, 44(1): 57-64. DOI: 10.7671/j.issn.1001-411X.202203003

Citation:

PDF (2973 KB)

Design of intelligent feeding IoT system for lactating sows

LÜ Enli^{1, 2,},
HE Xinyuan^{1, 3},
LUO Yizhi^{1, 2},
WANG Feiren^{3, 4},
XIA Jingjing^{3, 4},
WU Fan^{1, 5},
ZENG Zhixiong^{1, 6, ,}

1.
College of Engineering, South China Agricultural University, Guangzhou 510642, China
2.
Maoming Branch, Guandong Laboratory for Lingnan Modern Agriculture, Maoming 525000, China
3.
Guangzhou Jiaen Technology Co., Ltd., Guangzhou 511363, China
4.
Guangdong Mechanical and Electrical Vocational and Technical College, Guangzhou 510550, China
5.
Yunnan Changnong Food Co., Ltd., Wenshan 663000, China
6.
South China Smart Agriculture Public Research & Development Center, Ministry of Agriculture and Rural Affairs, Guangzhou 510630, China

More Information

Received Date: February 28, 2022
Available Online: May 17, 2023

Graphical Abstract

Abstract

Abstract

Objective
In order to design an intelligent feeding Internet of Things system for lactating sows, and realize the remote monitoring of feeding status of lactating sows.

Method
The system transmited the custom TCP communication protocol through Netty to realize the function of data transmission and instruction reply with the terminal equipment. The design of human-computer interaction interface was carried out by using SpringBoot and Vue front-end and back-end separation architecture, including pig farm production detail interface, sow feeding information query interface and statistical data download interface.

Result
The test results showed that the average response time of the system was 0.33 s with 3000 connections, and the amount of data processed per unit time ranged from 750 to 1180. After the system was added into the custom business thread pool, the number of data processed per unit time increased by 250, and the processing capacity increased by 31%.

Conclusion
The system meets the practical application requirements of connection management and data processing for intelligent feeding equipment in nursing house.
- Suckling sow,
- Internet of Things platform,
- Feeding system,
- Data transfer,
- TCP,
- Netty

FullText(HTML)

References (26)

References

[1]	王美芝, 安涛, 刘继军, 等. 智能饲喂器对哺乳母猪采食量体况和生产性能的影响[J]. 农业工程学报, 2019, 35(6): 190-197. doi: 10.11975/j.issn.1002-6819.2019.06.023
[2]	LI S, ZHAI D, DU P, et al. Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks[J]. Science China Information Sciences, 2019, 62(2): 243-245.
[3]	杨飞云, 曾雅琼, 冯泽猛, 等. 畜禽养殖环境调控与智能养殖装备技术研究进展[J]. 中国科学院院刊, 2019, 34(2): 163-173.
[4]	李保明, 王阳, 郑炜超, 等. 畜禽养殖智能装备与信息化技术研究进展[J]. 华南农业大学学报, 2021, 42(6): 18-26. doi: 10.7671/j.issn.1001-411X.202107050
[5]	熊本海, 杨振刚, 杨亮, 等. 中国畜牧业物联网技术应用研究进展[J]. 农业工程学报, 2015, 31(S1): 237-246. doi: 10.3969/j.issn.1002-6819.2015.z1.028
[6]	GUAN Z, YANG W, ZHU L, et al. Achieving adaptively secure data access control with privacy protection for lightweight IoT devices[J]. Science China Information Sciences, 2021, 64(6): 140-153.
[7]	李道亮, 杨昊. 农业物联网技术研究进展与发展趋势分析[J]. 农业机械学报, 2018, 49(1): 1-20. doi: 10.6041/j.issn.1000-1298.2018.01.001
[8]	覃国喜, 文波. Velos智能化母猪管理系统在饲养过程中的优点与难题[J]. 广西畜牧兽医, 2014, 30(3): 141-142. doi: 10.3969/j.issn.1002-5235.2014.03.012
[9]	王德福, 黄会男, 张洪建, 等. 生猪养殖设施工程技术研究现状与发展分析[J]. 农业机械学报, 2018, 49(11): 1-14. doi: 10.6041/j.issn.1000-1298.2018.11.001
[10]	岳宇君, 岳雪峰, 仲云云. 农业物联网体系架构及关键技术研究进展[J]. 中国农业科技导报, 2019, 21(4): 79-87.
[11]	朱伟兴, 戴陈云, 黄鹏. 基于物联网的保育猪舍环境监控系统[J]. 农业工程学报, 2012, 28(11): 177-182. doi: 10.3969/j.issn.1002-6819.2012.11.029
[12]	潘秦, 刘星桥. 基于母猪饲喂专家系统的群养母猪智能饲喂物联网系统设计[J]. 黑龙江畜牧兽医, 2021(10): 41-49. doi: 10.13881/j.cnki.hljxmsy.2020.08.0018
[13]	贾敬敦, 鲁相洁, 黄峰, 等. 远程控制与无线通信技术在农业中的应用分析与展望[J]. 农业机械学报, 2021, 52(S1): 351-359. doi: 10.6041/j.issn.1000-1298.2021.S0.045
[14]	VERDOUW C, SUNDMAEKER H, TEKINERDOGAN B, et al. Architecture framework of IoT-based food and farm systems: A multiple case study[J]. Computers and Electronics in Agriculture, 2019, 165: 104939.
[15]	刘雨青, 李佳佳, 曹守启, 等. 基于物联网的螃蟹养殖基地监控系统设计及应用[J]. 农业工程学报, 2018, 34(16): 205-213. doi: 10.11975/j.issn.1002-6819.2018.16.027
[16]	鲍禹含, 付印金, 陈卫卫. 多云存储关键技术研究进展[J]. 计算机工程, 2020, 46(10): 18-32.
[17]	顾振德, 刘子辰, 龙隆, 等. 基于Netty的IoT终端通信服务系统设计[J]. 计算机应用与软件, 2019, 36(4): 135-139. doi: 10.3969/j.issn.1000-386x.2019.04.021
[18]	SU J, DING S, CHUNG H. Establishing a smart farm-scale piggery wastewater treatment system with the Internet of Things (IoT) applications[J]. Water, 2020, 12(6): 1654. doi: 10.3390/w12061654
[19]	李林锋. Netty权威指南[M]. 北京: 电子工业出版社, 2014.
[20]	张杨, 柳晨光, 张冬雯, 等. 面向Java多线程机制的软件重构方法[J]. 北京理工大学学报, 2018, 38(11): 1149-1155.
[21]	GOETZ B, PEIERLS T, BLOCH J, et al. Java Concurrency in practice[M]. Upper Saddle River: Addison-Wesley, 2006: 1171-1177.
[22]	焦东来, 蒋贺, 张索非, 等. 面向空间信息的数据通信协议的设计与实现[J]. 计算机工程与设计, 2017, 38(2): 550-556.
[23]	罗宇, 郭家松. 大位宽情况下的回滚式循环冗余校验算法[J]. 电子与信息学报, 2021, 43(4): 1057-1063. doi: 10.11999/JEIT200141
[24]	张娜, 史佳炳, 吴彪, 等. 基于Netty和Kafka的IoT终端服务系统设计方案[J]. 浙江理工大学学报(自然科学版), 2020, 43(2): 240-245.
[25]	甄凯成, 黄河, 宋良图. 基于Netty和Kafka的物联网数据接入系统[J]. 计算机工程与应用, 2020, 56(5): 135-140. doi: 10.3778/j.issn.1002-8331.1811-0261
[26]	毛文华, 韩少云, 赵博, 等. 基于Netty和Marshalling的青饲机工况远程监测系统研究[J]. 农业机械学报, 2020, 51(8): 145-151. doi: 10.6041/j.issn.1000-1298.2020.08.016

Cited By

Cited by

Periodical cited type(4)

1.	卫培刚，孙伟，王梁，孔繁涛，刘继芳，吴迪梅，曹姗姗. 蛋鸡产业综合监管大数据平台：架构、技术与应用. 沈阳农业大学学报. 2025(01): 128-139 .
2.	肖德琴，黄一桂，熊悦淞，刘俊彬，谭祖杰，吕斯婷. 畜禽机器人技术研究进展与未来展望. 华南农业大学学报. 2024(05): 624-634+620 . 本站查看
3.	吕恩利，陈高峰，夏晶晶，王飞仁，吴凡，曾志雄. 哺乳母猪智能饲喂系统设计与试验. 中国农机化学报. 2023(07): 154-162 .
4.	尤德安，邬锡权，陆畅，董钊杰，曾志雄，吕恩利. 数字孪生技术在现代化猪场生产应用的研究进展. 现代农业装备. 2023(04): 2-9+70 .

Other cited types(2)

Get Citation

PDF

XML

Article views (589) PDF downloads (340) Cited by(6)

Turn off MathJax

Article Contents

Abstract

References

Design of intelligent feeding IoT system for lactating sows

Abstract

References

Cited by

Periodical cited type(4)

Other cited types(2)

Catalog

Export File

Citation

Format

Content