Abstract: In order to improve the efficiency of specific compilation of geological map and reduce human workload, it is necessary to develop a new method to update the previous geological maps compiled decades ago. After studying the information technology such as AI & BigData, the authors constructed the spatial-temporal model of generalization and the intelligent model of the geological annotation. Then a new technology was developed with which small scale geological maps can be converted to general scale geological maps in a big data environment through compilation. The technology for mapping is called iMapower. Practically, the geological features, such as sedimentary rocks, intrusive rocks, volcanic rocks, metamorphic rocks and structures, can be processed intelligently, interactively, automatically with iMapower based on geological knowledge. The processing procedures include geological body merging, geoline simplification, fault generalization, feature representation, legends illustration, etc. In its application to several pilot areas such as eastern Qinghai Province, Luoyang area, Zhengzhou area and Jingjinji area, the efficiency is obviously improved. The iMapower is proved to be scientific and effective.