A Study Of Safety Early-warning Mechanism For Building Construction Process

The construction industry is one of the pillar industries in China,which plays a very important role in the development of China’s economy and the improvement of the quality people living.However,the construction industry not only improves the level of national comprehensive strength,but also bring some problems to the parties.Especially with the increase in construction projects,security incidents rating is gradually growing.Because the construction industry has a series of characteristics:a long project cycle,large size and complex of all participants,compared to other industries,it caused accident more frequently,and the reasons are more complex.Because the construction project needs lots of invest,it has a wide influence on the society,and many small errors may cause significant unexpected losses.At present,many of China’s construction safety management of the project participants already have a certain amount of attention,such as construction enterprises gradually began to value the security awareness training,the establishment of site safety officer to supervise,and the security risks in the construction process of timely rectification;the state and society also has some authority to the third party supervision;legal system also has some rules to limit the construction process of safety problems.However,these methods have not yet forormed a comprehensive system of mature safety management system,and our method for safety management of construction process is mainly used in tracking security questionnaire and afterwards,not from the beginning of production safety supervision and management of the project,no method of prevention of accidents.This paper starts from the safety management theory,the BP neural network method is applied to safety early warning management,quantitative qualitative change,establish a set of early warning management system,in order to real-time control the state of safety in construction project implementation,strengthen safety management capability.This paper firstly introduces the current development of the theory of safety management and evaluation and early warning,and expounds the related theoretical basis,including the safety economics theory,the accident causing theory and the BP neural network theory.Then it analyzes and classifies the accident causing factors of the construction project,and summarizes the main causes of the safety production problems,and it is the important part of the security early warning index system.At the same time,aiming at the deficiencies of the evaluation system,reference to domestic and foreign construction of evaluation model and method system,incentive process of construction safety,adult materials and machinery,environmental management,four types will influence,at the same time according to the hierarchical structures of the 21 elements of the evaluation system,and the application of AHP method to determine the index weight.Finally,according to the logical relationship between the construction safety risk identification,assessment,early warning,response,has established the construction process of complete construction safety warning model and indicators and results of the early warning module based on BP neural network has a good corresponding relation is established,at the same time with the actual engineering case demonstrates the applicability of the early warning model.The innovation of this paper lies in:(1)by collecting relevant information and analysis,combined with expert advice and relevant standards,to establish the safety early warning evaluation index system construction,including 4 two and 21 three grade indexes,and gives the basis of score;(2)establish a security warning system diagram complete,respectively from four aspects of risk identification,assessment,early warning and response mechanism of the system is discussed;(3)according to the construction safety early warning system established in this paper,the current situation and analysis of the project on the basis of the results of the project determine the warning level,corresponding improvement measures are presented,with field investigation the parties were compared after the demonstration,to verify the applicability of the early warning model.However,because of the establishment of safety early warning evaluation index system is difficult to meet the index system of independent MECE principle,this paper also has some shortcomings,and quantified by expert score method will be due to inconsistent evaluation of personnel understanding deviation degree.At the same time the author to understand and use the BP neural networks have some deficiencies,need further research and improve the relevant knowledge,the relevant empirical study was carried out in thirteen items based on data security,its general applicability for further discussion.In this paper,the corresponding mechanism and measures should be taken to make a detailed analysis,in the future research work need to constantly sum up the actual situation and the corresponding measures to make a summary of the corresponding measures.