Through analysis of the current situation of construction safety, most of the warming system and index system of construction safety are based on the traditional methods, which cannot meet the need of accuracy. As the methods of civil construction safety management are constantly improved, the precise and effective pre-warming system is desperately needed. Thanks to the development of the industrial informatization, artificial intelligence technology can forecast and assess the tendency based on effectively analysis of construction safety data. As an important branch of artificial intelligence research, Bayesian network can manage uncertainty problems, express and fuse multi-source information. Therefore, researching the construction safety pre-warming system based on Bayesian networks has notable theoretical and practical significance. This paper aims to build an improved construction safety pre-warming system and provides references for minimizing construction accidents.
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