ArcObject的智慧电厂一体化数据整合技术应用

Application of integrated data integration technology for smart power plants based on ArcObject

为精准呈现智慧电厂整个结构特征,提出一种基于ArcObject的智慧电厂一体化大数据整合技术。利用滑动时间窗口划分电厂数据采集任务,构建数据域模型,完成智慧电厂一体化多源异构大数据采集。运用小波分析方法,重构阈值处理后的高低频系数,消除电厂监测数据噪声。读取电厂界址点数字坐标,运用ArcObject二次开发技术得到ArcGIS面状要素工具,挑选预先设置的要素类图层,运用Web图形库、平面误差法,实现数据动态可视化。实验结果表明,所提技术可有效剔除数据噪声,且数据整合效率快、准确度高,为智慧电厂的实际应用提供决策支持。

In order to accurately present the entire structural characteristics of smart power plants,an ArcObject based integrated big data integration technology for smart power plants was proposed.The sliding time window was used to divide the data collection tasks of the power plant,and the data domain model was constructed to complete the integrated multi⁃source heterogeneous big data collection of the smart power plant.The wavelet analysis method was used to reconstruct the high and low frequency coefficients after threshold processing to eliminate the noise of power plant monitoring data.The digital coordinates of the power plant boundary points were read,ArcObject secondary development technology was used to obtain ArcGIS surface feature tools,pre⁃set feature class layers were selected,Web graphics library and plane error method were used to achieve dynamic visualization of data.The experimental results showed that the proposed technology could effectively eliminate data noise,and the data integra‐tion efficiency was fast and accurate,providing decision support for the practical application of smart power plants.