Abstract: With the continuous integration of next-generation information technologies into intelligent manufacturing, manufacturing systems are facing increasingly stringent requirements in information sensing, data interaction, and coordinated control. Traditional industrial systems, characterized by isolated automation or localized informatization, can no longer meet the demands of complex manufacturing processes for real-time performance, coordination, and intelligence. Owing to its capability for multidimensional coordination and closed-loop support, the industrial intelligent Internet becomes a significant research focus in the field of intelligent manufacturing. We present a comprehensive review of the industrial intelligent Internet for intelligent manufacturing. Focusing on the closed-loop capability of communication, sensing, computing, control, and intelligence, we systematically analyze the current development status and key technical approaches of deterministic communication, multimodal intelligent sensing, cloud-edge-end collaborative computing, intelligent control, and constrained industrial intelligence, from the perspectives of system architecture and engineering constraints. Subsequently, the applicable ranges of these capabilities under different closed-loop conditions and their coordination mechanisms are discussed in detail. By further incorporating typical intelligent manufacturing application scenarios and lighthouse factory practices, we elucidate how the industrial intelligent Internet supports the evolution of manufacturing systems from local optimization to system-level and end-to-end optimization through cross-layer coordination and capability integration. Finally, the significant challenges and future development trends of the industrial intelligent Internet are summarized in terms of digital control, deterministic response, cost-effective deployment, and large-scale industrial intelligence adoption.