Extreme weather and climate events such as super typhoons and unprecedented recorded high intensity rainfall events have increased in recent years due to climate change. Such extreme weather events generate floods and cause loss of life and property. Therefore, efficient strategies and measures for flood mitigation and prevention are essential. Computer-aided techniques can increase the speed of emergency response and reduce the impacts of a flood. This study applied the cyber-physical system concept to develop a smart flood information system, called Dayu Smart Water System. The system includes an on-site monitoring network and software for rapid flood modeling to provide updated information. With the utilization of Internet of Things and artificial intelligence, the system not only provides forecast information but also plays an active role by enabling users to take emergency response measures before, during, and after a flood. The system is aimed at accelerating emergency responses during a flood without requiring any human intervention. The system was deployed in a high-tech industrial park in central Taiwan. Experimental results revealed that the system could increase the response efficiency of the emergency operations center during a few extreme events in 2017. To enable the system to respond to a wide range of flood induced threats in a more effective manner, a few advanced functions are under development and discussed in this paper. This study utilized Dayu Smart Water System that integrates on-site monitoring sensors and advanced modeling tools to provide optimal flood forecasts. However, the proposed system has implemented only the first three levels—connection, conversion, and cyber levels. The higher the number of levels is, the more added value is the system provides. The fourth and fifth levels, namely the cognition and configuration levels, were not discussed in the study. Further developments in these two levels will be conducted.