通过分析中国航空工业总公司625研究所地电场监测站30多年监测的原始资料,提取了其中8组数据,包括4组地电场中的长期异常信号和4组对应震级Ms6.0以上的地震震前短临异常信号.发现这些异常信号有以下特征:地电场中的长期监测图中包括了许多不同大小、距离远近地震的孕震信息,其中近区大震会主控一条或多条曲线的走势,远大、近小的地震会造成曲线时上时下的振荡;从4组地电场短临信号监测图中发现震前地电场异常总体表现为下降(上升)—折返—回跳—发震的模式,说明地电场异常变化形态具有相似性和重复性,证明地电场观测确实能监测到震前异常.发现适合该监测站预测发震时间的新方法:根据折返天数与回跳天数大致相等,即回跳日期加上折返天数为发震日期,证明地电场短临预测方法具有一定的实用性. By analyzing the raw data monitored by the electric field monitoring station of 625 Institute of China Aviation Industry Corporation for more than 30 years, 8 sets of data were extracted, including long-term anomaly signals of 4 groups of geoelectric fields and 4 groups of earthquakes corresponding to magnitude Ms6.0 Short anomalous anomaly signals before the earthquake.These abnormal signals were found to have the following characteristics: The long-term monitoring map in the geoelectric field includes many earthquakes with different sizes and distances, in which near-field large-scale earthquakes can dominate one or more curves The trend and ambitious earthquake near the earthquakes will cause the up-to-the-minute oscillations in the curve. From the monitoring results of the short-signal signals of the four geoelectric fields, it is found that the anomalies of the geoelectric field before the earthquake show an overall decline (increase), reentry-bounce- Mode, indicating that the patterns of anomalous changes in the electric field have similarities and repeatability, which proves that the ground electric field observation can indeed detect a pre-earthquake anomaly. A new method is found that is suitable for the monitoring station to predict the onset time: According to the number of rebound days and the number of rebound days, That is, the jumpback date plus the number of reentry days as the seismogenic date prove that the method of short-term and near-field prediction has some practicality.