In order to improve the accuracy of geological interpretation of DC resistivity induced polarization detection results and promote the application of DC resistivity induced polarization in mineral exploration, finite element numerical simulation was used to compare and analyze the main aspects of low resistance and high polarization bodies, vertical plate bodies, low resistance cover layers, high resistance cover layers, surface non-uniform bodies, terrain fluctuations, and inversion interpretation of measured data in DC resistivity induced polarization detection. The research results show that for the inversion interpretation results of actual exploration, the geological body model built according to the anomaly characteristics and the finite element numerical simulation can quickly identify the abnormal attributes of the target body and distinguish false anomalies, improve the quantitative interpretation level and the efficiency of prospecting and exploration. The research results provide a reference for the quantitative interpretation of DC resistivity IP prospecting.