深空探测科学目标谱系构建方案探索

Study on the Construction Scheme of Mega Interconnected Knowledge Systems in Deep Space Exploration

中国深空探测活动正在由技术驱动和科学牵引并举逐步发展到以科学引领为主、牵引技术进步的阶段。面向中国深空探测高质量发展需求,创新性提出科学目标谱系概念与方案设想。以科学目标为核心,汇聚深空探测工程、科学、技术、应用大数据,利用人工智能、云计算等技术,将相关要素进行有机组织、信息关联和知识挖掘,建立深空领域“关联成谱,脉络为系”的大模型,打造大知识智能平台。借助该平台,能够充分利用历史数据、立足当前能力,对深空探测未来的规划发展提供生成式的知识与信息支持,推动数据驱动的深空研究范式变革。

China’s deep space exploration has gradually developed from technology and science-driven to the stage dominated by science,leading to technological advances.Under our demand for high-quality development in deep space exploration,the Mega Interconnected Knowledge System in Deep Space Exploration(MIKSE)was innovatively proposed with its concept and scheme conceiving.Centering around the scientific goals,deep space exploration engineering,science,technology,and big data in the application were collected,techniques including artificial intelligence and cloud computing were utilized to perform organic organization,information association,and knowledge mining on relevant elements,a large model with genealogical associations and networks of connections was built,and an intelligent big knowledge platform was established.With the help of this platform,historical data and its current capabilities can be fully utilized to support generative knowledge and information for the future planning and development of deep space exploration and promote the paradigm shift of data-driven deep space research.