| At present, China is undergoing a large-scale construction in its history. And the construction industry is one of the anchors in China. Because of the characteristics of construction, there is always full of the potential safety problems in the construction locale. All these kinds of factors may lead to accidents some time, and threaten the lives safety of construction workers seriously, so the safety management becomes an important part of the project management.First of all, the papers talked about the concept of security and safety assessment, and then discussed the feature and the condition of the construction of China. After reading a lot of literature, the writer classified and summarized the current research content and methods of construction safety management in China, then a construction safety assessment model based on BP Neural Network was put forward.Many factors influent the construction site safety was talked about firstly. The factors include human, material and mechanical equipment, technique, management and the environment of the construction site. The author set up a new construction safety assessment criteria system, which referred the "Safety Evaluation Criteria in Construction Enterprises" (JGJ/T77-2003) promulgated by China's Ministry of Construction. It includes 24 indicators in the system. On the base of the indicator system, the writer built a model based on the BP Neural Network. The model of BP network will be training by many training samples which came from the expert scores. By given the weight, many experts graded the construction site safety condition, and 15 training samples were got.Using the sample data generated by the method of expert scoring to train the network, the results show that:there is small error between the desired output and actual output. So that the model of site safety assessment of construction using the model of BP neural network is effective, and it can be used for the empirical study of construction site safety assessment.
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