| With the popularization and development of the Internet,the application of Internet-based technology has appeared a blowout breakthrough and widespread use.A new round of digital wave has arrived,"digital economy","digital enterprise","smart factory","smart city" and other new concepts emerge one after another,and the smart construction site is also gradually formed in the "big break" of the new industrial ecology.The emergence of smart construction site is to serve safety at the very beginning.The first appearance of smart construction site is the "four-in-one" supervision system proposed by Shanghai Municipality in 2012,which clearly takes safety production as one of the 10 major problems to be solved.But so far,there are still many problems with smart worksites.At present,the standard of smart construction site is largely influenced by the total quality management concept of traditional construction site in the past,and is often analyzed from five perspectives of human,machine,material,law and environment,which separates the components of smart construction site safety management.Therefore,there is a lack of toplevel design in the safety management of smart construction sites.At the same time,the traditional safety management concept may also lead to the safety management of smart site mainly emphasizes the risk resistance,and lacks the resilience thinking,that is,to absorb the impact of shock or disturbance,so as to restore the system to the prior state as soon as possible.Therefore,this paper studies the safety management of smart construction site from the perspective of resilience.First of all,through literature research,this paper studies the research status of intelligent construction site,resilience theory and safety management,analyzes the shortcomings of the current research,and establishes the research scope of intelligent construction site safety management evaluation index system in the follow-up research.With the help of Nvivo11 qualitative analysis software,29 influencing factors affecting the safety management of smart site are identified and extracted based on the grounded theory.Matrix coding is used to analyze the distribution of resilience factors in the code text,and the resilience distribution in the apparent layer,middle layer and root layer of smart site safety related policies and standards are summarized.Then,29 influencing factors are preliminarily identified in this paper.Through the analysis and discussion with relevant experts of smart site,the ISM interpretation structure model of resilience factors is established,and the relevant factors are screened.Finally,4dimensions and 15 factors affecting the safety of smart site are obtained.After that,ANP network analytic hierarchy process(ANP)was selected to determine the weight of the influential factors of intelligent site safety management,and a complete intelligent site safety management evaluation model was established.Finally,5 smart site schemes are selected as the research object,and TOPSIS method is used to conduct a relative evaluation of the cases.According to the data extracted from the smart site cases,the positive and negative ideal solutions and the distance between the smart site and the ideal solutions are calculated by the algorithm,and the relative advantages and disadvantages of the smart site cases are obtained and corresponding suggestions are put forward.Based on the perspective of resilience,this study explores the distribution of resilience of safety management factors of smart construction sites,and obtains the hierarchy and mutual influence relationship of each influencing factor in the process of safety management of smart construction sites,as well as the composition of resilience at each level.In the process of obtaining the weights of influencing factors,the resilience characteristics of the evaluation indexes were analyzed.At the same time,the evaluation method of smart site safety management is also constructed,which is of great significance to the improvement of resilience of smart site and the improvement of safety management level of smart site. |