残障人口数据智能分析平台搭建

To design an intelligent analysis platform for the disabled population data

目的设计以需求为导向的从统筹管理到安全保障的残障人口数据智能分析平台框架。方法运用DATAI-WebEX、主动学习、Browser/Server架构、基于用户角色的访问控制功能、贝叶斯网络、地理信息系统分析技术、聚类分析、回归分析等智能关键技术,提供多源异构残障人口数据数据融合、智能分析与安全访问和数据共享等功能。结果基于智能关键技术所设计的中国残障人口数据智能分析平台,能够实现结构化和非结构化残障人口数据的信息对齐和数据融合,能够提供残障风险模块聚类、残障风险因子识别、残障分布分析、残障规模动态轨迹预警、残障等级发生发展预测,可以为残障敏感数据支持"分类分箱"安全便捷的访问提供保障,实现残障人口数据安全共享。结论基于智能关键技术所设计的中国残障人口数据智能分析平台,能够针对残障人口数据提供"全面融合-智能挖掘-安全共享"等技术。

OBJECTIVE To design demand-oriented intelligent analysis platform framework for the disabled population data from overall management to security. METHODS DATAI-WebEx, active learning, Browser/Server architecture, role-role-based access control, Bayesian network, GIS analysis technology, cluster analysis, regression analysis and other intelligent technologies were used in this study, which provided the functions of multi-source heterogeneous disabled population data fusion, intelligent analysis, secure access and data sharing. RESULTS The disability data warehouse and intelligent analysis platform can realize the structured and unstructured information disabled population data alignment and data fusion. Also, it can provide disability risk module clustering, disability risk factor identification, disabled distribution analysis, disability scale dynamic trajectory prediction, early warning, disability grade development. Moreover, it can provide a guarantee for the safe and convenient access of sensitive data with the support of "classified boxes", and realize the safe sharing of data of the disabled population. CONCLUSION The disability data warehouse and intelligent analysis platform can provide the services of "comprehensive fusion-intelligent mining-safe sharing".