Research On The Dynamic Evaluation Of Greenness Of Assembled Buildings

The introduction of GB/T 50378-2019 ”Green Building Evaluation Standard”has further promoted the development of green building in China,but as a kind of green building,there are commonalities and differences between the two.Moreover,there is no special standard document for green evaluation of assembled buildings.In order to better evaluate the green construction of assembled buildings and realize the unification of assembling and greening,it is necessary to establish a set of scientific and complete evaluation system for green assembled buildings in line with sustainable development.This paper combines the characteristics of the whole life cycle of assembled buildings,collects a large amount of original data about the greenness of assembled buildings through the method of literature review and research on related standards,uses the research method of rooting theory,recodes these data,and finally comes up with five primary indicators of safety and durability,health and comfort,resource saving,environmental livability,and technology application,and divides them into13 secondary indicators,25 tertiary indicators,and 65 quadratic indicators.25three-level indicators,65 four-level indicators.These indicators are further divided into environmental quality indicators Q and environmental load indicators L,so as to pave the way for the next step of calculating the greenness based on the results of both measurements.After the indicator system is determined,the indicator weights are calculated and analyzed before the dynamic model prediction is carried out.Considering the different authority of different experts,the values of indicator weights given to experts should be different.Therefore,the fuzzy preference theory is used to assign different weights to the subjective weight values of expertswhile the objective weight values of indicators are determined by combining the hierarchical analysis method to obtain comprehensive weights that take into account the authority and consensus of experts,so that the calculation of indicator weights is more scientific and reasonable.In contrast to obtaining a static greenness ranking result,this paper focuses on the dynamic analysis of indicators at all levels.By establishing a Bayesian network model,forward and backward reasoning and sensitivity analysis of the evaluation indexes at all levels,we analyze the influence trend of index changes at all levels on the overall greenness of the project,and provide reference suggestions for index optimization in the project design process by combining the analysis process and results.Finally,a case of an assembled building in Beijing is analyzed for dynamic evaluation of greenness,and the greenness level of the project is obtained.Based on the inverse probability calculation of Bayesian network,the factors that have the greatest influence on the greenness of the building are obtained to provide reference advice for the project to improve the greenness level.