基于数据融合的家用宽带资源清查方法研究  

Research on a Household Broadband Resource Inventory Method Based on Data Fusion

在线阅读下载全文

作  者:陈杰 李妮 陈赟 石巍 CHEN Jie;LI Ni;CHEN Yun;SHI Wei(China Mobile Group Guizhou Co.,Ltd.,Guiyang 550000,China;China Mobile Communications Group Design Institute Co.,Ltd.,Guiyang 550000,China)

机构地区:[1]中国移动通信集团贵州有限公司,贵阳550000 [2]中国移动通信集团设计院有限公司,贵阳550000

出  处:《移动信息》2024年第10期194-197,201,共5页Mobile Information

摘  要:随着家宽业务和网络规模快速增长,资源数据准确性成为高效运营的关键。当前,资源数据质量问题日益突出,清查和管理变得复杂。利用多源数据融合技术,可全面清查家宽资源数据,提升数据质量和长期保鲜机制。数据融合是一种处理多个数据源信息的技术,通过采集、汇聚、分析等来建设一套数据可视、分析和决策执行能力的数据融合管理体系,已在智能交通、智慧城市、医疗保健等领域广泛应用。中国移动贵州分公司结合理论与实践,构建基于多源数据融合的家宽资源清查方法,取得显著成效。该方法采用模块化设计,组装便捷、自主研发复制性强、复制成本低,能迅速向全国推广并应用于生产,极具推广意义。With the rapid growth of broadband services and network scale,the accuracy of resource data has become the key to efficient operation.The quality of resource data is increasingly prominent,and inventory and management become complex.Multi-source data fusion technology can comprehensively inventory broadband resource data,improve data quality and long-term preservation mechanism.Data fusion is a technology that processes information from multiple data sources.It builds a data fusion management system with data visualization,analysis,and decision-making capabilities through collection,aggregation,analysis,and other methods.It has been widely applied in many fields such as intelligent transportation,smart cities,and healthcare.China Mobile Guizhou Branch has combined theory with practice to build a broadband resource inventory method based on multi-source data fusion,which has achieved significant results.This method adopts modular design,is easy to assemble,has strong self-reliance and replication ability,and has low replication cost.It can be quickly promoted and applied to production nationwide,which is highly significant for promotion.

关 键 词:数据融合 数据体检 家宽资源清查 数据汇聚 数据质量 

分 类 号:TN919[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象