Abstract: The traditional operation and maintenance model of continuous casting equipment has bottlenecks such as frequent equipment failures, difficulty in process optimization, and inefficient data utilization. In response to these challenges, this project takes advantage of the real-time interaction and precise mapping of digital twin technology to develop an intelligent operation and maintenance platform for continuous casting equipment and deploy it on the slab continuous casting equipment of a steel plant. First, this paper analyzes the limitations of the existing operation and maintenance model and explains the necessity of introducing digital twins. Secondly, the three-layer platform architecture and system functions of the “physical layer-digital twin layer-application service layer” are discussed. Finally, through the case study of a steel plant continuous casting machine, the results of digital transformation of equipment records are demonstrated, and the key performance indicators(KPIs) before and after the platform is deployed are compared, which proves the effectiveness and application value of the platform.