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

作　　者：张生福[1] Zhang Shengfu(School of Computer Science, National University of Oinghai ,Xining 810007, Qinghai, China)

机构地区：[1]青海民族大学计算机学院,青海西宁810007

出　　处：《计算机应用与软件》2018年第5期282-286,共5页Computer Applications and Software

基　　金：教育部"春晖计划"合作科研项目(Z2016070)

摘　　要：为了提高牧区资源管理效率和畜禽群定位跟踪性能,研究一种适用于畜牧业实时管理的基于羊群大数据轨迹的云计算系统。从羊群大数据定位信息维度和轨迹源数据冗余度出发,结合牧区基本网络度、子牧区羊群轨迹、轨迹相交与分隔以及子牧区特征化等过程,给出羊群大数据轨迹挖掘模型。根据羊群轨迹数据采集、轨迹相交与分割、轨迹几何特征分析、牧区羊群定位信息融合、大数据存储与羊群信息云计算等模块,提出基于羊群大数据轨迹的畜牧业云计算系统的多模块自适应控制算法。通过牧区实验对比分析,从羊群轨迹定位精度、大数据存储管理水平与云计算结果精度等方面证明了该云计算系统的可行性和优越性。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 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TN918[自动化与计算机技术—计算机科学与技术]