The Research And Realization Of Key Technology Of Data Mining Visualization Platform In Power System

Finally display in the form of Petri-net. At present, the power grid’s form of displays the complex and massive information is also in a less flexible situation,lack of effective means to show the variety results of application.In order to provide better service for the power system monitoring and control, new visual display form is particular significance.The visualization of power system of the text,is used some new visualization techniques, present the massive data of the power grid in a series of interactive vivid form,to help power plant managers with less time to control the current operation of the system, and thus improve the efficiency of work.This paper collect the data of Baoshan and Xinmi Power Plant, built a B /S visualization platform of power plant, The Browser end use D3.JS and ECharts as the visualization technology, the Server end use Nginx and Node.js server response of browser’s static and dynamic requests respectively. Based on D3 achieved the diagram of the units instantaneous power / frequency of the power system, by loading history diagram at a fixed time interval unit of instantaneous power / frequency, can see instantaneous unit power / frequency’s change along with the time, and give a warning when the frequency exceeds a certain range. Based on Echarts, use alarm logs of Baoshan power system, from the statistics and the distribution point to implementation visualization of alarm information, which the mix of histogram and pie charts. In this paper, the process mining technique is applied in the power system operation log, for the operator operation log of power system, through the pre-processing to filter out the noise and the repeat operation, use alpha algorithm of process mining to modeling.