To ensure the safe，high-quality，efficient，and environmentally friendly construction of future infrastructure projects，it is crucial to investigate the prevalent issues and characteristics of intelligent safety management and control practices in infrastructure projects. Firstly，the evolutionary process of intelligent safety management and control was comprehensively reviewed. It includes four distinct stages: intelligent identification and control of risk sources，data-driven identification and rectification of safety hazards，enhancement of intelligent safety management and control system，and comprehensive integration of intelligent management and control. On this basis，the successful experiences of different stages were summarized. Secondly，the challenges encountered in intelligent safety management and control were analyzed from the perspective of overall collaborative management，and its characteristics were analyzed from the perspective of "people，objects，environment，and management". Subsequently，starting from the three dimensions of safety management process，the whole life cycle of engineering construction，and the development level，the thoughts on intelligent management and control for infrastructure engineering safety were proposed，focusing on "reverence for safety，intelligent safety，inherent safety，digital intelligence，digital capability，and digital value". Finally，the future development path of intelligent safety management and control was envisioned. The results show that the safety management and control of infrastructure projects are transitioning from experience-based to data-driven approaches，while rapidly integrating new technologies，equipment，and processes. Intelligent safety management and control represents a significant extension of intelligent construction and management in infrastructure engineering. This is mainly evidenced by the transformation of safety management concepts，methods，and systems，as well as the value extraction from data assets. In the future，the intelligent management and control for infrastructure engineering safety will develop to comprehensive data fusion，knowledge-driven，virtual and real integration，human-machine collaboration，and full life-cycle control. At the same time，the importance of data privacy protection and standardised governance will become increasingly prominent.