Abstract: In view of the influence of volume effect and interference, the characteristics of apparent resistivity section obtained by conventional processing methods are complex and changeable, and there are always false anomalies, which can easily cause misjudgment of analysis and interpretation. In order to solve the problem that the conventional apparent resistivity direct mapping method is not accurate in mine transient electromagnetic detection, a data processing and interpretation method based on standard deviation standardization algorithm is proposed. This method introduces the statistical theory into the analysis of mine transient electromagnetic data, which can eliminate the error effects of dimensional units and data variations from the data aspect, and solve the problem of excessive abnormal interpretation range, and realize the focused positioning and interpretation of anomalies. Through the processing of numerical simulation data and on-site measured data, it is shown that in view of the problem of mine transient electromagnetic advance detection, and in addition to improving the data quality by using the relevant technical means to reduce the influence of interference during construction, a reasonable algorithm can be adopted in the later data processing process to improve the mapping and interpretation effect. The data processing and interpretation method based on standard deviation normalization algorithm can improve annular distribution problem of apparent resistivity around detecting points, reduce the influence of volume effect and interference factors, and effectively highlight anomalies. The results of abnormal interpretation are in good agreement with the actual revelation of the borehole. This method can effectively improve the interpretation accuracy of mine transient electromagnetic data and improve the credibility of interpretation results.