摘要
用户用电行为分析技术,能够协调好电力资源和电力消费,非常有利于提高资源的利用率,从而提高客户的满意度。本文首先设计了专门针对用户用电行为分析的基于大数据的平台,该平台包括数据表现层、数据分析层、存储计算层、数据来源层,能够较好的解决用电行为分析中的问题。其次,研究了平台中使用的数据处理的关键技术。最后,部署和实现了大数据平台。经过半年多的试运行,该平台相比于已有平台,对于技术研发人员和产品开发人员,具有更好的用户体验和更加便捷的使用效果。
Analysis technology of power user behavior can coordinate the power resources and power con-sumption, which is very conducive to improving the utilization of resources and customer satis-faction. This paper first designs a platform based on big data for power user behavior analysis. The platform includes data presentation layer, data analysis layer, storage computing layer and data source layer, which can solve the problem of power behavior analysis. Secondly, the key technologies used in the data processing used in the platform are studied. Finally, big data platform is deployed and implemented. After more than six months of trial running, the platform presented by this paper has a better experience, and is more convenient for developers.
