Evaluation of Fire Evacuation Performance of Building Atriums based on Decision Support System

Abstract

In this paper, a decision support system (DSS) of model, data, and human-computer interaction is established to evaluate the fire evacuation performance of atriums. Firstly, based on a large amount of literature and consultation with relevant scholars and experts, this paper established an indicator system for the influencing factors of fire evacuation in building atriums. Secondly, this paper used the entropy weight method model and the comprehensive rating model as the core of the model library to calculate the weight of each level indicator system and complete the evaluation work. Then, the back-end database of the data components established by Access (including the basic database, algorithm database, and expert database) was used to store the data tables and data files generated in the system work. Finally, based on the relevant literature and norms, a scientific indicator scoring standard was established. By inputting the indicator score of the evaluated object into the DSS, the final evaluation result was obtained. At the end of this paper, a large shopping center was used as a case study. The DSS was awarded a medium fire evacuation level with a score of 78.1. In order to improve its fire evacuation capability, the DSS gave corresponding decision suggestions.