Fusion processing method based on multi-source heterogeneous data

The invention provides a fusion processing method based on multi-source heterogeneous data, and the method comprises the steps: building a business-based data space-time uncertainty and multi-dimensional relevance description method according to the technical characteristics, application demands and power space-time characteristics of power big data; based on a multi-source heterogeneous data cleaning method and a fusion mechanism, a practical organization scheme of power big data is established and is used for realizing a customer demand-oriented data unified expression and optimization method; and establishing dynamic distributed storage adapting to the time-space attributes of the data. And the data reading efficiency is improved. 本发明提供的一种基于多源异构数据的融合处理方法，所述融合处理方法包括：根据电力大数据技术特性、应用需求和电力时空特性，建立基于业务的数据时空不确定性与多维关联性描述方法；基于多源异构数据清洁方法、融合机制，建立电力大数据的实用化的组织方案，用于实现以客户需求为导向的数据统一表达和优化方法；建立适应数据时空属性动态化的分布存储。提高数据的读取效率。