Abstract: [Purpose/Significance] Emergency response and management is an important guarantee for the sustainable and stable development of society. In view of the complex international industrial competition situation and the era background of frequent emergencies, this paper focuses on building a collaborative sharing mode of industrial emergency information driven by data and integrated by multiple subjects based on the industrial emergency scene. [Design/Methodology] Guided by collaborative theory, adopting the alliance blockchain technology ,this study firstly constructs a collaborative sharing mode of industrial emergency information, and a collaborative sharing framework model of  the whole emergency information  process,and then expounds the guarantee mechanism of this mode, finally takes the semiconductor industry's response to the scenario of  "Sichuan power limitation"as a case to analyse the application process of this mode and its value. [Findings/Conclusion] The feasibility and effectiveness of using alliance blockchain in the collaborative sharing mode of industrial emergency information is tested through Hyperledger Caliper Platform,and the value is  revealed from a case analysis  that the  collaborative sharing mode of industrial emergency information  is helpful to effectively realize the coordination of industrial emergency intelligence multiple subjects and information data, to break data barriers, improve the security, credibility,traceability of industrial emergency intelligence data, and accelerate industrial emergency response and disposal speed. [Originality/Value] This study  adopts the research logic of "Technical Framework Building - Collaborative Model Construction - Scenario Application Analysis" and puts forward a collaborative sharing mode providing stable and reliable emergency information service guarantee for supporting China's industrial development.

Key words: Alliance blockchain, Industrial emergency intelligence, Collaborative theory, Collaborative sharing mode, Semiconductor industry