Research on Intelligent Method for Generation of Subway Construction Risk Response Measures Based on Cross-modal Technology
To provide intelligent assistance for the subway construction site personnel to deal with risks,this paper proposed an intelligent generation method of subway construction risk response measures based on cross-modal fusion technology.An improved ResNet50 convolutional neural network model is used to extract semantic features from construction site risk images.The LSTM model and the attention mechanism are used to fuse the semantic features of the image and the text to predict the text corresponding to different parts of the image.Then,risk countermeasures could be automatically generated using construction site risk images.The experiment shows that the proposed subway construction risk countermeasure generation method based on cross-mode technology has an accuracy rate above 0.9 and a recall rate above 0.8,which has a good experimental effect.The research realizes the generation of countermeasure text according to the collected risk image,which provides a feasible and effective method for intelligent assistance in the risk response stage of subway construction.
subway construction riskcross-modal generationresponse measures generation
NETL
NSTL
万方数据
