Human exploration of the solar system is entering a new phase characterized by deeper interdisciplinary integration, increased mission complexity, and broader international engagement. Emerging technologies such as big data, artificial intelligence, and high-performance computing are reshaping the landscape of deep space exploration. In this study, we propose the innovative concept and architecture of “Digital-Intelligent Solar System”. This vision integrates a cross-disciplinary knowledge as the core of this concept, leverages digital twin facilities as its infrastructure, and relies on intelligent algorithms and tools to enable a collaborative digital ecosystem. We outline a comprehensive development plan centered on four key pillars: cross-disciplinary knowledge system, full-scope data engineering, adaptive intelligence and computation, and innovation platform driven by collective intelligence. Potential application scenarios are designed in scientific research, engineering implementation, science communication, and international cooperation. This architecture offers a new pathway, model, and support system for advancing China’s deep space exploration capabilities and promoting transformative changes in both scientific inquiry and engineering practices.
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