Abstract

In this study, automatic knowledge extraction technology is analyzed for advanced automobile intelligent manufacturing operation and maintenance multi-modal information with knowledge graph construction method and complex knowledge reasoning method. An association representation model is proposed based on deep feature learning, a unified multi-modal semantic space is constructed, and a semantic matching technology for multi-modal equipment operation and maintenance is designed based on the reasoning method of deep recurrent neural network.

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