Lightning is a common meteorology phenomenon which can have destructive effects on people's life. Atmospheric electric field instruments are applied to collect the electric field strength and relative location of the lightning. The detecting data can be made into oscillographs. However, the detection results are non-directional and within their own circle range. Therefore, a new methodology for lightning pinpoint and accurate movement is presented in this study. The Delaunay algorithm is implemented in this study to divide the atmospheric electric field instruments into Delaunay triangular networks. Based on the relationship between a relative location of an atmospheric electric field instrument and instrument measuring data, an architecture can be designed to be estimate the appropriate location of the lightning. Finally through continuous monitoring process of the lightning data, the movement of lightning can be determined. This paper makes an experiment based on the designed algorithm, which uses the prediction area to compare the actual lightning activities. The result shows that it can get satisfactory prediction performance.
