基于数据融合分析的电力营销决策支持信息系统

Power Marketing Decision Support Information System Based on Data Fusion Analysis

为解决当前电力营销决策支持信息系统存在的准确率低、耗时较长问题,基于数据融合分析的电力营销决策支持信息系统。对电力营销决策支持信息系统的需求进行全面分析,利用MVC三层架构以及SSH框架完成用户交互、业务逻辑以及数据层的系统架构以及功能模块设计。采用数据融合算法处理电力营销决策信息,解决两传感器置信距离不同的问题,模糊化支持矩阵以减小阈值由于人为设定所存在的决策误差问题,降低各种可能导致融合结果产生决策误差的扰乱因素。实验结果表明,本文方法数据分析准确率和数据转化率较高,且数据测量过程中所消耗的时间较少。

In order to solve the problems of low accuracy and long time-consuming in the current power marketing decision support information system, a power marketing decision support information system based on data fusion analysis is designed. The demand of power marketing decision support information system is analyzed comprehensively. The MVC three-tier architecture and SSH framework are used to complete the system architecture and functional module design of user interaction, business logic and data layer. The data fusion algorithm is used to process the power marketing decision information to solve the problem of different confidence distance between the two sensors. The fuzzy support matrix is used to reduce the decision error caused by the artificial setting of the threshold, and various disturbing factors that may lead to the decision error of the fusion results are reduced. The experimental results show that the accuracy and conversion rate of data analysis are high, and the time consumed in the process of data measurement is less.