计算机应用与软件2018，Vol.35Issue(5)：282-286,5.DOI:10.3969/j.issn.1000-386x.2018.05.050
基于羊群大数据轨迹的自适应畜牧业云计算系统
SELF-ADAPTATION LIVESTOCK CLOUD COMPUTING SYSTEM BASED ON BIG DATA FLOCK TRACK
摘要
Abstract
To improve the resource management efficiency and the tracking performance of livestock and poultry groups,a cloud computing system based on herd data trajectory is developed, which is suitable for the real-time management of livestock husbandry.The sheep big data path was given during the process of mining mode by starting from the flock data location information dimension and track source data redundancy,as well as combining with the basic network,pastoral sheep track,intersection and separate and pastoral characteristics.The self-adaptive control algorithm of multi module calculation system of animal husbandry sheep big data cloud was proposed based on trajectory,according to the sheep track data collection, intersection and segmentation, analysis, trajectory geometrical characteristic information fusion, positioning pastoral herding sheep information data storage and cloud computing module.The feasibility and superiority of the proposed cloud computing system are proved by comparing and analyzing the precision of sheep track location,the management level of large data storage and the accuracy of cloud computing results.关键词
羊群轨迹/大数据定位/畜牧业/自适应控制/云计算Key words
Flock track/Big data location/Livestock/Self-adaptation control/Cloud computing分类
信息技术与安全科学引用本文复制引用
张生福..基于羊群大数据轨迹的自适应畜牧业云计算系统[J].计算机应用与软件,2018,35(5):282-286,5.基金项目
教育部"春晖计划"合作科研项目(Z2016070). （Z2016070）
