Abstract: Abstract: Based on the current emergencies in the field of firefighting and rescue, an intelligent matching algorithm for firefighting and rescue expertise is proposed. The algorithm calculates the semantic relationship between case description and firefighting knowledge based on natural language processing and attention mechanism, realizing the matching of related firefighting and rescue knowledge. First learn semantic information at sentence granularity level based on natural language processing, then learns semantic information at word granularity level based on the attention mechanism, and finally, based on the interaction of two levels of semantic information, the relationship between sentences is inferred based on the local differences of the information. Experimental results show that the algorithm has excellent performance. At the same time, it can understand sentences more accurately from the two granularities of words and sentences, realize intelligent matching of firefighting and rescue professional knowledge based on case descriptions.

Key words: Key words: fire rescue, intelligent matching, natural language processing, attention mechanism, semantic information