[目的/意义]针对大数据时代情报分析工作面临的挑战,提出将构件理论引入情报分析领域来构建情报分析模型,以期为情报分析研究和实践工作提供新的理论依据和方法指导。[方法/过程]首先基于当前情报分析模型的研究状况和构件技术的特点,阐释基于构件的情报分析模型基本思想,然后提出情报构件并解释其内涵、原子化原则,明确其开发框架和应用过程,最后从自动化、规范化、智能化、开源化4个方面对其应用价值进行展望,并总结基于构件的情报分析模型的优势和挑战。[结果/结论]基于构件的情报分析模型能够为情报分析工作的改进提供参考价值,在未来有很大的应用和发展空间。
[Purpose/Significance] In view of the challenges faced by intelligence analysis in the era of big data, this paper proposes to introduce component theory into the field of intelligence analysis to build intelligence analysis model, in order to provide new theoretical basis and methodological guidance for intelligence analysis research and practice. [Method/Process] First of all, based on the current research state of the intelligence analysis model and the characteristics of component technology, this paper explained the basic idea of the component-based intelligence analysis model, then proposed the intelligence component, explained its connotation and the principle of atomization, and clarified its development framework and the application process. Finally, the application value was prospected from four aspects of automation, standardization, intelligence and open source. And the advantages and challenges of the component-based intelligence analysis model were summarized. [Result/Conclusion] Component-based intelligence analysis model can provide reference value for the improvement of intelligence analysis, and has great application and development space in the future.
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