摘要
随着移动互联网、人工智能、位置感知技术的快速发展,以移动对象、空间/时空、遥感为代表的空天感知数据呈爆发式增长,成为新基建和数字化框架的重要基础。本文针对畜牧业发展中数据标准不统一、产业布局不科学、产值统计不精确、应用集成不完善等一系列问题,利用空天大数据多样、实时、关联性强等特点,汇聚畜牧生产经营活动中所产生的多源异构数据,设计并构建基于空天大数据框架的智慧畜牧平台,以此推动畜牧业从传统的数字化、网络化向智能化、智慧化的高端方向发展,进而提升产业全领域、全过程、全环节的监管水平。
With the rapid development of mobile Internet,artificial intelligence,and location sensing technologies,the air and space perception data represented by moving objects,space/space-time,and remote sensing has grown explosively,becoming an important foundation for new infrastructure and digital frameworks.In view of a series of problems in the development of animal husbandry,such as ununified data standards,unscientific industrial layout,inaccurate output value statistics,and imperfect application integration,this paper uses the diverse,real-time,and highly relevant characteristics of aerospace big data to gather multi-source heterogeneous data generated in animal husbandry production and operation activities,and designs and constructs a smart animal husbandry platform based on the framework of aerospace big data,so as to promote the development of animal husbandry from traditional digitization and networking to intelligent and intelligent high-end.And then improve the level of supervision in the whole field,the whole process and the whole link of the industry.
作者
王鹏
WANG Peng(Shandong Yunli Information Technology Co.,Ltd.,Jinan Shandong 250098)
出处
《中国科技纵横》
2024年第13期46-48,共3页
China Science & Technology Overview
关键词
空天大数据
智慧畜牧
统一时空基准
empty big data
Smart animal husbandry
unified spatio-temporal benchmark