And Empirical Research-intensive Enterprises In Daxing District Personnel Fire Risk Classification

Daxing District is a typical rural-urban continuum in Beijing City, where exits severesafety management problems. The local Government asks enterprises in this district toimplement dynamic and classification supervision. With no unified and fitting-countrysafety classification standard, government intends to manage safety according to staffs’subjective ideas rather than scientific classification, which results in chaotic andtroublesome safety management and also pulls down standardized, informatized andelaborated operation of safety recognition and classification.On the basis on systematic study of Daxing enterprises, the thesis makes it clear abouttheir production situations and safety classifications. Picking fire risk from personnelintensive companies as target, it establishes fire risk classification system, further details9general kinds of index system about personnel intensive enterprises. During the research, itapplies AHP method for definition of the importance of enterprise’s fire risk index system,aiming to build fire risk computational model consisting of enterprise’s inherent risk,safety management levels, dynamic supervision situation and accidents, which classifiesfire risk into low, medium, relatively high and high, altogether4levels, each withcorresponding standards.The thesis empirically studies fire risks situation of4personnel intensive enterprisesin this district, makes relevant questionnaires and collects specific data. All these are usedto evaluate their fire risk, analyses the results and makes different risk levels, which willattaches significance to the classification supervision in this district.