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中国农机化学报

中国农机化学报

中国农机化学报 ›› 2025, Vol. 46 ›› Issue (1): 73-77.DOI: 10.13733/j.jcam.issn.2095-5553.2025.01.011

• 设施农业与植保机械工程 • 上一篇    下一篇

生猪智慧养殖物联网系统设计与实现

王泽平1，应诗家2，房银龙3，刘政4   

  1. 1. 江苏省农业科学院宿迁农科所，江苏宿迁，223800； 2. 江苏省农业科学院畜牧研究所，南京市，210014；
    3. 南京路为智能科技有限公司，南京市，210014； 4. 农业农村部南京农业机械化研究所，南京市，210014
  • 出版日期:2025-01-15 发布日期:2025-01-23
  • 基金资助:
    宿迁市科技计划现代农业项目资助（L202104）

Design and implementation of IoT system in swine intelligent breeding

Wang Zeping1, Ying Shijia2, Fang Yinlong3, Liu Zheng4   

  1. 1.  Suqian Institute of Agricultural Science, Jiangsu Academy of Agricultural Sciences, Suqian, 223800, China; 
    2. Institute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China; 
    3. Nanjing Luwei Intelligent Technology Co., Ltd., Nanjing, 210014, China； 4. Nanjing Institute of Agricultural 
    Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, 210014, China
  • Online:2025-01-15 Published:2025-01-23

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摘要： 为实现远程对养殖猪舍的自动化管理，促进生猪养殖产业的智能化发展，以宿迁市东川养殖场为背景，采用分布式控制架构，综合运用无线自组网通讯、云计算等技术，构建基于养殖实时感知、决策、控制的生猪智慧养殖物联网系统。该系统可实现猪舍环境、饲料投喂、猪只生长情况等多项数据的实时监测，并通过系统进行自动策略分析控制。同时配备移动端APP，方便管理员随时随地进行猪栏监管和数据查询。测试结果表明，针对不同环境和养殖分区，该系统可实现猪舍分布式环境监测、远程调控、猪只生长监测、生猪生理状态监测等功能，系统无线信号传输稳定，控制可靠性高，连续进行1 000次接收数据测试数据无丢失，平均响应速率<200ms。

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关键词: 生猪, 智慧养殖, 远程调控, 物联网, 管理平台

Abstract:  In order to achieve remote automated management of swine farming houses and promote the intelligent development of swine farming industry, taking the Dongchuan breeding farm in Suqian as the background, this study adopted distributed control architecture, integrated wireless AD hoc communication, cloud computing and other technologies to build a swine intelligent farming iot system based on realtime perception, decisionmaking and control of breeding. This system can realize realtime monitoring of swine house environment, feed feeding, swine growth and other data, and perform automatic strategy analysis and control through the system. In addition, the system is equipped with a mobile APP for administrators to supervise the pigsty and query data anytime and anywhere. Test results show that the system can achieve distributed environmental monitoring of swine houses, remote control, monitoring of swine growth, and monitoring of swine physiological status for different environments and breeding zones. The wireless signal transmission of the system is stable, the control reliability is high, the data is received for 1 000 times continuously without data loss, and the average response rate is less than 200ms.

Key words: swine, intelligent breeding, remote control, Internet of Things, management platform

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