Analysis On Fire Risk Of The Large-Scale Commercial Complex

As public areas, because of its complication of function structure,personnel- intensive and flow of people, the large-scale Commercial Complex is easy to fire risk. The current fire risk assessment work are based on the current national code for fire protection, is put to use by the majority of the projects in our country. Nevertheless, the new design and the new distribution formats turn up in commercial buildings, all of which are gradually hard to be stipulated by some standards.According to current prominent problems existing in large-scale Commercial Complex’ accidents and deep contradictions shown in the fire risk assessment, we propose to do the research on the evaluation system in large-scale Commercial Complex.Basically has the following several aspects:Firstly, building fire risk evaluation system and measur ing analysis the index factor.(1)According to the fire development and fire prevention design characteristics of large-scale commercial complex, we establish the three- level fire risk evaluation index system.(2)In view of the contradiction of the super standard large-scale commercial complex way of fire protection design and the current code for fire protection. We will three-level indicators are further divided into super specification design, conform to the specifications design and strict in specification design class three categories and analyzed the problems of the fire risk evaluation.(3)On the basis of above analysis, we measure analysis of the fire risk evaluation index.Secondly, it puts forward a design idea that use the FAHP-FCEM and GA-BP to make the comprehensive evaluation of the large-scale Commercial Complex’ fire risk.(1)Using the FAHP-FCEM to generate the sample set of the GA-BP neural network. Implement the process of calculating weight by Writing Fuzzy analytic hierarchy process(ahp) program. And using the method of fuzzy comprehensive evaluation to analysis fire risk grade of each sample.(2)By using genetic algorithm to optimize the weights and thresholds of BP neural network, the evaluation model of GA-BP network are respectively trained. And it is learned and tested by using the neural network toolbox of MATLAB and writing GA-BP program.Thirdly, the trained network was applied to the instance, and the applying results show that the evaluation model has good practicality in the fire risk assessment of the large-scale Commercial Complex.