时域天文学是当前天文学发展的热门领域，在未来5到10年将进入多波段、多信使科学发现的时代。时域天文学的兴起与发展在带来很多科学机遇的同时也带来很多技术挑战，最为突出的是针对海量实时数据流的数据处理、数据融合、数据挖掘、暂现源分类等。本项目从以爱因斯坦探针（EP项目）为代表的时域天文学研究的科学需求出发，凝练出时域天文学对虚拟天文台的核心能力的需求，即数据融合，准确说就是“多波段、多信使海量数据的高效融合”。为满足以爱因斯坦探针卫星为代表的时域天文学研究计划的需求，本项目从分布式数据存储和高性能索引方法，可信赖的多波段、多信使交叉证认方法，数据融合结果可视化呈现方法，公有云环境下数据融合系统的实现等方面开展研究，从功能和性能两方面提升虚拟天文台的核心能力。进而将研究成果转化为科学服务，应用于EP等重大研究计划，同时具备支撑GWAC、SONG等更多的时域天文学研究计划和课题的能力。

Time domain astronomy is a very popular research field in astronomy. A multi-wavelength multi-messenger scientific discovery era will arrive in 5 to 10 years. With the emergence and development of time domain astronomy, many technical challenges arise meanwhile with the large number of discovery opportunities. One of the most challenging requirement is large scale real time data stream processing, including data processing, data fusion, data mining, classification, et al. Based on the scientific requirements of “Einstein Probe” (a Strategic Priority Research Programs of the Chinese Academy of Sciences) and other time-domain research projects, key technical capability requirement on Virtual Observatory (VO) from time domain astronomy is extracted, i.e. “efficient fusion of multi-wavelength multi-messenger massive scientific data”. To meet the requirements of Einstein Probe (EP) and more other time domain astronomy research projects, we plan to enhance the core competences of VO both in function and in performance through deep research in the following fields: distributed data storage, high performance indexing methods, reliable cross-matching algorithms, visualization of data fusion results, and public Cloud platform solution. Research progresses and achievements of the project will be transformed into scientific service and technical supports for the EP and other time domain astronomy projects, including but not limited to GWAC, SONG.