Abstract: The exploration and utilization of mineral resources is related to the energy security, economic development and environmental protection of the country. As a crucial link in the mining, processing and application of mineral resources, the technological level of crushing directly affects the comprehensive utilization efficiency and economic benefits of mineral products. Among the crushing equipment, sizing crusher is widely used because of its advantages of high fragmentation percentage of ore lumps, high capacity and simple structure, etc. In recent years, the related researches have also made significant progress. Firstly, the composition and operating principle of the sizing crusher are expounded, with its working characteristics and technical advantages analyzed; then, the research progress of the equipment is reviewed from the three aspects of mechanism exploration, structure optimization and intelligent regulation; finally, the future research direction and development trend are discussed. The study shows that the research on crushing mechanism mainly relies on the theories of fracture mechanics, impact dynamics and rock mechanics, through the construction of mineral fracture model, integrated with discrete element simulation and experimental means for correction and optimization, which in turn guides the selection of equipment parameters and operating parameters; structural optimization research is based on the actual working conditions or existing defects of the equipment, which uses finite element analysis and other methods to optimize the structure of the equipment for meeting specific production needs; intelligent regulation research has been transforming from traditional relay control to automation and intelligent control, by identifying equipment state data to autonomously regulate operating parameters, so as to enhance the capacity and working efficiency of the equipment. In conclusion, the technological development of sizing crusher has both opportunities and challenges, and in the future, it can promote the scientific, standardized and intelligent development of equipment and process by building a more refined theoretical system, establishing a common improvement strategy, as well as integrating deep learning and big data technology.