融合知识图谱的天气预报节目智能生成技术研究  

Research on Intelligent Generation Technology of Weather Forecast Program Based on Fusion Knowledge Graph

作　　者：闫燕勤 林强 钱永江 王娇娇 Yan Yanqin;Lin Qiang;Qian Yongjiang;Wang Jiaojiao(Communication University of Zhejiang,Zhejiang 310018,China;Zhejiang Radio and Television Group,Zhejiang 310012,China)

机构地区：[1]浙江传媒学院,浙江310018 [2]浙江广播电视集团,浙江310012

出　　处：《广播与电视技术》2024年第4期39-43,共5页Radio & TV Broadcast Engineering

基　　金：浙江省教育厅科研项目《融合多模态知识图谱的新闻短视频自动生成技术研究》(Y202146864);浙江省影视媒体技术研究重点实验室2020年度开放课题(CM2020008)资助;国家自然科学基金资助项目(No.62002316);浙江传媒学院2022年度青年教师科研提升计划项目(ZC22XJ014)。

摘　　要：本文利用人工智能、大数据、知识图谱等新兴技术,构建气象领域知识图谱,设计天气预报生成模板和算法,融合知识图谱实现文案自动生成;构建3D动画场景模型,进行不同场景搭建和录制,生成天气预报3D动画视频,在云平台上搭建天气预报自动生成与管理系统,完成天气预报节目的智能化生成。This paper uses emerging technologies such as artificial intelligence,big data,and knowledge graph to construct knowledge graph in the meteorological field,design weather forecast generation template and algorithm,integrate knowledge graph to realize automatic text generation,construct 3D animation scene models,build and record different scenes,generate 3D animation videos of weather forecasts,build automatic weather forecast generation and management system on the cloud platform,and complete intelligent generation of weather forecasts program.

关 键 词：天气预报 领域知识图谱 3D动画 智能生成 

分 类 号：TN948.4[电子电信—信号与信息处理]