A Study on Early Warning Methods for Major Hazard of Hazardous Goods in Port Logistics Hub

摘要

This paper studies early warning methods for major hazard of hazardous goods in port logistics hub. Firstly, identifying hierarchy method is proposed, after examining related interpretations of the discourse "major hazard" both in China and aboard, elaborating on the essences of this discourse, as well as analyzing its characteristics. Secondly, a comparative analysis of accident warning models which have been adopted at present with high frequency is conducted, through which we suggest a multi-sensor fuzzy data fusion early warning model. In addition, the index factors, the weights, as well as their membership, have been fixed by applying the methods of Analytical Hierarchy Process, and triangular membership functions. Finally, the application with examples demonstrates that this model has successfully achieved fuzzy integration of multi-sensor data, increased the accuracy of early warning-classification grading system, in addition to providing scientific evidence to port early warning management.