Abstract: Traditional slope reinforcement methods face challenges, including high time costs, limited dynamic adaptability, and inadequate capabilities for optimizing and comparing schemes in complex geological conditions. This study reviews the developmental context and key aspects of intelligent self-matching reinforcement technology, which has evolved from traditional methods in the modern era. Research analysis reveals significant advancements in the intelligent development of slope stability calculations and evaluations, the intelligent transformation of traditional reinforcement methods, and the trend towards self-matching in intelligent reinforcement design. Key technologies, including intelligent perception and monitoring, data analysis and processing, and optimization algorithms for intelligent self-matching design, have broadened the understanding of intelligent self-matching reinforcement. However, a systematic review of the overall framework is lacking. Consequently, this paper organizes and elaborates on the intelligent development of slope stability calculations and evaluations, the intelligent transformation of traditional reinforcement methods, and the overall framework of intelligent self-matching. It proposes the concept of intelligent self-matching, offers a reference for design institutes to compare schemes, and promotes the advancement of slope reinforcement technology towards intelligent self-matching.

Key words: slope engineering, intelligent self-matching reinforcement, pile-anchor reinforcement structure, optimization design