【Purpose/significance】 The effective identification of weak signals of industrial risks is important for government decision

makers and business managers to take preventive measures at the best time to avoid or reduce the possible losses caused by risks.【Method/process】 This paper introduces cognitive analysis theory, innovatively constructs a framework of perception system for risk weak signal identification based on cognitive perspective, proposes to establish a weak signal risk sensitive person system, establishes industrial information acquisition dimension and structure through sensory system, interpretation of sensed industrial weak signal infor⁃mation by perceptual system, awareness of industrial weak signal stimulus by consciousness system, and knowledge representation sys⁃tem to The process of recognizing risky weak signals is completed by the consciousness system's perception of industrial weak signal stimuli, and the knowledge representation system's meaning assignment to industrial weak signals.【Result/conclusion】 A series of problems such as definition, acquisition, and understanding of industrial weak signals can be analyzed based on the cognitive se⁃quence model of human's information acquisition, processing, and analysis, which can improve the effectiveness of weak signal risk recognition.【Innovation/limitation】 Later, we will continue to refine and model based on this framework, and build a complete indus⁃trial risk weak signal identification system to provide some valuable references for the development of industry.