基于物联网平台的羊智慧养殖管控系统开发与应用

Development and application of management and control system for intellectual sheep breeding based on Internet of Things platform

近年来,我国支持发展万头规模羊场,在全行业的共同努力下,我国畜禽标准化规模化养殖发展迅速,涌现一批大型现代化养殖企业,新品种、新技术及新设备推广应用加快,生产机械化、信息化及智能化水平不断提高。根据羊业集约化养殖现状,团队建立“吉羊”智慧养殖管控系统,并在示范场完成系统开发及应用测试。系统主要通过搭建人工智能物联网AIoT(artificial intelligence&Internet of Things)平台,实现羊只数据的共享与传输,实现物联网数据一体化,提高羊场饲养管理水平;通过采集环控环境数据实现智能控制,明确饮水、用电、用料量,准确采集生产数据,掌握生产成本,能耗数据实时准确采集,达到增产增效的目的;通过卷积算法和深度学习技术深度开发AI(artificial intelligence)盘点技术,提高饲养管理效率,进一步实现疾病诊断及溯源管理。本研究对该平台进行系统的应用测试,对主要的饲养管理功能及AI盘点功能进行数据检测,结果发现饲养管理功能数据传输准确、管理功能均可实现,AI盘点功能准确率远超预期,达到98%。该平台的开发利用将数字化管理系统引入羊场,为提高养羊业的集约化生产水平奠定基础。

In recent years,there are 10000 sheep farms in China.With the joint efforts of the whole industry,the standardized and large-scale breeding of livestock and poultry in China has developed rapidly,and a number of large-scale modern breeding enterprises have emerged.The promotion and application of new varieties,new technologies and new equipment have been accelerated,and the level of mechanization,informatization and intelligentization has been continuously improved.According to the current situation of intensive farming in sheep industry,our team successfully established“Jiyang”intelligent farming management and control system,and completed the system development and application test in the demonstration farm.The system shared and transmitted sheep data by integration of Internet of Things data,and improved the sheep farm management by the AIoT(artificial intelligence&Internet of Things)platform;intelligent control was achieved by collecting environmental control data;the usage of water,electricity and materials are clarified so as to accurately collect production data and master production costs;the energy consumption was accurately collected in actual time to achieve the increase of production and efficiency.By means of convolution algorithm and deep learning technology,AI(artifical intelligence)inventory technology is well developed to improve feeding management efficiency and then achieve disease diagnosis and traceability management.This study conducted a systematic application test on the platform,and tested the function of feeding management and AI inventory.The results showed that the data transmission of feeding management was accurate,the management function could be realized,and the accuracy of AI inventory function was 98%,far higher than expected.The development and utilization of this platform will introduce the digital management system into the sheep farm,laying a foundation for improving the intensive production level of the sheep industry.