关键词: 突发事件应急管理, 情报介入与融合, 生命周期理论, 信息熵, 社会膜

Abstract: [Purpose/significance] The purpose of this study is to explore an efficient intelligence intervention model in the field of emergency management, so as to ensure personnel safety, reduce property losses and social negative impacts.[Method/process] This study have used the life cycle theory, the emergency intelligence response system was divided into three stages from the time dimension:pre-warning, in-process control and post-stop loss. And, the different intelligence intervention strategies were adopted according to different development stages to form a framework structure from the perception of social membranes to the reduction of intelligence entropy of emergency incidents and ultimately improving the social resilience. Then, the study emphasized the synergistic effect of intelligence flow and technology flow, break through the academic barriers between high-level intelligence core personnel and scientific research personnel and build a system of "input timely and accurate latest information and output effective and targeted technical solutions". Utilizing social membrane theory to filter daily safety information and transmit suspicious burst information; utilizing the principle of entropy reduction to reduce the disorder and chaos of the intelligence of the present scene; utilize the hexagonal elastic equilibrium theory model to improve social resilience and strengthen the resistance and resilience in the face of emergency incidents.[Result/conclusion] The combination of intelligence intervention and emergency management has greatly accelerated the processing speed of emergencies and improved the efficiency and accuracy. In the future, the correctness and universality of the model will be verified by the means of empirical methods such as big data and computer simulation, and the intelligence intervention model suitable for emergency management of different types and different time and space will be further refined.

Key words: emergency management, intelligence intervention and fusion, life cycle theory, information entropy, social membrane