However, stress measurement requires a comprehensive understanding of the geological structure and properties of coal seams, and cannot provide real-time information regarding the distribution and change in support pressure [28; 29]. The anchoring force measurement provides real-time information about the distribution of support pressure by measuring the force applied on the support unit of the working face. This technology is relatively easy to implement and can provide valuable information to adjust the support system to respond to changing conditions. However, the quality of the sensor and the calibration of the measuring system may limit the accuracy of the anchoring force measurement [30; 31]. Roof separation monitoring is used to measure the displacement and deformation of the roof strata in the working face, and can be used to detect a potential roof collapse. This technology is relatively easy to implement and can provide real-time information about the change in support pressure distribution. However, roof separation monitoring cannot provide complete support pressure distribution. It can only provide information about roof strata, but not the overall stress state of coal seams [32; 33]. Microseismic monitoring includes the use of sensors to detect and record small seismic events, such as those caused by rock fracture or the movement of supporting elements of the working face [34]. This technology can provide real-time support pressure distribution information and provide valuable insights for the study of the geological structure and properties of coal seams. However, the accuracy of microseismic monitoring may be limited by the quality and location of sensors, and the interpretation of seismic data may require advanced seismological knowledge [35; 36]. Microseismic technology has been applied in the field of coal mining to monitor and analyze the distribution and evolution of support pressure in working faces [37]. The application of microseismic technology in coal mining has made encouraging achievements in improving our understanding of the distribution and evolution of support pressure, and in predicting and preventing potential damage or collapse [38; 39; 40]. Rockburst monitoring is an important part of rockburst control. By using microseismic monitoring, stress monitoring, drilling cuttings monitoring, and other technologies, as well as using a microseismic monitoring system, a stress monitoring system, and other equipment, the distribution and evolution law of the support pressure can be understood [41; 42]. At the same time, with the development of computer technology, deep learning technology has also rapidly developed in microseismic event classification, positioning, and rockburst monitoring and early warning [43; 44]. It not only provides a scientific basis for taking reasonable support measures and using coal mining technology, but also effectively improves the safety and stability of a fully mechanized mining face. Based on this, the North China Institute of Science and Technology collaborated with a certain mine to research the prediction and prevention of rockburst hazards in the vicinity of deep fully mechanized mining faces. In order to understand the evolution and distribution pattern of the surrounding rock supporting pressure at the fully mechanized mining face, this study conducted on-site measurements of microseismic monitoring data during the advancement of the 1300 working face using microseismic monitoring technology. At the same time, a theoretical calculation model of dynamic and static supporting pressure in longwall mining was constructed to calculate and analyze the distribution range and evolution pattern of supporting pressure. Using coal stress monitoring, anchor force monitoring, and other means, as well as CT geophysical prospecting and drilling cuttings measurements, the effectiveness of the microseismic analysis results and the accuracy of the aforementioned theoretical model were further verified.