Abstract: To meet the carbon peaking and carbon neutrality development strategy for the coal industry and the demand of intelligent precise mining， it needs to build a transparent geological guarantee system matching the construction of intelligent coal mine， the primary task is to improve the theory and technical level of transparent geology. Accurate identification of geological conditions is particularly critical to the safe and efficient development of coal resources. However， due to the diverse， special and complex geological conditions， currently the research degree of geological transparency and dynamic processes is still insufficient. Drilling， excavating， mining， and caving are the four basic steps in safe and accurate coal mining and mine construction. The corresponding transparent conditions and scenarios cover borehole， roadway， workface， goaf and abandoned mine， and so on. Therefore， it is of great importance to col⁃ lect and characterize the integrated transparent information of the series of geophysical exploration while drilling， while excavating， while mining and while caving (hereafter called “four⁃while”). This paper puts forward the concept of “four⁃while” geological information reconstruction， which is based on the collection and integration of different points， lines， planes and bodies information. Therefore， a dynamic geological model system of transparent working face， transparent mining area and transparent coal mine is gradually established. Specifically， it combines the information explored and revealed by boreholes in underground construction， especially in the process of “while drilling”， which forms a technological breakthrough of inertial navigation， coal⁃rock recognition， virtual geological model reconstruction and so on. In the process of roadway excavation， the heading machinery is used to detect and analyze lithology in ad⁃ vance， so as to obtain the physical imaging and anomaly identification of geological conditions in a certain range in front and around by “excavating”. According to the coal cutter and roadway space， the detection and recognition probe is arranged to accurately identify and determine the anomaly in coal seam， roof and floor “while mining”， so as to improve the prediction accuracy of the coal seam thickness and geological disaster body in the coal cutting area. Re⁃ lying on the concentration， seepage， humidity， temperature， stress， strain and other data from the sensors laid in the goaf， the “while caving” process can be monitored and all kinds data of environmental and disaster conditions after mining can be tracked， so as to improve the ability of identifying abnormal body. Based on the high precision explora⁃ tion technology of “four⁃while”， it needs to further develop the multi⁃source information fusion technology of the geo⁃ logical and geophysical field data such as strata， structure， stope， and resources. Through the “four⁃while” detection data real⁃time acquisition and fusion processing， improving the real⁃time perception and geological information interac⁃ tion ability by virtual visual， imaging techniques， and correcting the static geological model in real⁃time to complete the reconstruction of dynamic geological model and thus gradually realize the full transparency of coal mine geological conditions. By building an intelligent information platform for the whole life cycle of coal mine production， a cloud in⁃ formation comprehensive diagnosis and early warning mutual assistance can be realized， which provides a reliable technical support for the construction of intelligent coal mines and the evaluation and utilization of resources.