多源数据融合驱动的未来产业情报感知体系构建研究OACHSSCD

[Purpose/Significance]Against the backdrop of accelerated global technological and industrial evolution,intelligence perception has become an important tool supporting national technological security,industrial competitive-ness,and strategic governance.International research has long focused on the role of intelligence in technology foresight,risk identification,and innovation monitoring.However,relevant studies mostly revolve around specific industries or single intelligence tasks and rarely systematically explore the overall construction of intelligence perception systems from the perspective of future industries—a new context characterized by high uncertainty,cross-domain coupling,and weak signal aggregation.Meanwhile,domestic research has accumulated significant foundations in technological security,inte-lligence perception,and multi-source data integration,but still suffers from insufficient theoretical integration and unclear systematic frameworks.In response to these research gaps,this paper attempts to explore the construction logic and imple-mentation approach of an intelligence perception system for future industries from the perspective of multi-source data inte-gration.[Method/Process]This paper adopted literature review,thematic summarization,and comparative analysis to sys-tematically sort out domestic and international research achievements concerning the connotations and strategic layout of future industries.Based on this,it identified the practical challenges faced by future industries,explained the enabling role of multi-source data integration in enhancing the depth and breadth of intelligence analysis,and extracted perception needs in future industry contexts across three dimensions:intelligence users,intelligence subjects,and intelligence tasks.By integrating research on technological security,risk early warning,and innovation governance,the study further ana-lyzed the functional positioning and organizational mechanisms of multi-source data integration in intelligence analysis,and accordingly explored feasible implementation pathways for intelligence perception in future industries.[Result/Conclu-sion]Centered on multi-source data integration and combined with intelligence perception theory,this paper proposes a future industry intelligence perception system comprising four levels:data perception,situational perception,trend percep-tion,and intelligence response.Compared to international research traditions primarily focused on technology foresight,early warning,or single-point monitoring,the innovations of this study are mainly reflected in three aspects:first,incorpo-rating the strategic,disruptive,and uncertain nature of future industries into the intelligence analysis framework;second,systematically combining intelligence user needs,task types,and intelligence subject characteristics to provide theoretical support for dynamic and intelligent intelligence perception;third,proposing a systematic and generalizable framework logic that offers new theoretical references and methodological insights for improving strategic judgment capabilities of future industries,enhancing national technological security resilience,and participating in international innovation co-operation and competition.