Abstract: With the in-depth advancement of maritime digitalization and the comprehensive application of the S-100 universal hydrographic data model, traditional electronic navigational charts are undergoing a paradigm shift towards Smart Chart. Built on the S-100 unified data model and integrating shipborne and shore-based multi-source dynamic information, Smart Chart serves as a comprehensive navigation intelligence platform that provides spatial analysis, situational awareness, and decision support for intelligent navigation. This paper systematically reviews the technical system and research progress of Smart Chart from four dimensions: spatial analysis foundation, data model system, visualization, and application services. In the spatial analysis dimension, the implications of geographic information technology evolution for chart reconstruction are analyzed, and methods for continuous bathymetric field construction and spatial interpolation are discussed. In the data model dimension, the architectural characteristics of static foundational data, dynamic environmental data, and information interoperability models within the S-100 framework are elaborated. In the visualization dimension, expression methods in multi-source data integration are analyzed from two perspectives: production-oriented cartographic visualization and application-oriented spatiotemporal visualization. In the application service dimension, typical application scenarios are illustrated from four aspects: multi-source data fusion, situational awareness in complex navigation environments, intelligent route planning, and risk warning with decision support. The research indicates that Smart Chart is evolving from a basic display tool into a comprehensive navigation intelligence platform, providing key technical support for intelligent vessels and intelligent shipping. Its core technical system has been preliminarily established, yet challenges remain in areas such as standardized production, real-time fusion computing, 3D visualization evaluation, and human-machine collaborative decision-making. This paper serves as a reference for future research in the fields of intelligent navigation and Smart Chart.