Unmanned aerial vehicle command and control intention understanding method based on knowledge graph

Abstract

The invention belongs to the field of aviation command and control, and particularly relates to an unmanned aerial vehicle command and control intention understanding method based on a knowledge graph. Comprising the steps that an unmanned aerial vehicle command and control field general knowledge graph is obtained, the unmanned aerial vehicle command and control field general knowledge graph is G < (A, S, I, R), A represents a platform entity, S represents a situation entity, I represents a command and control field intention, and R represents a relation chain in a knowledge base; and performing unmanned aerial vehicle command and control intention understanding based on the unmanned aerial vehicle command and control field general knowledge graph. According to the unmanned aerial vehicle command and control intention understanding method based on the knowledge graph, layering, induction and knowledge statistics are carried out on unmanned aerial vehicle data, intention understanding support of a command and control system in the aspects of auxiliary decision making, voice recognition, natural language understanding and the like can be supported, and the intelligent level of the field of unmanned aerial vehicle command and control is greatly improved.

Description

technical field [0001] The present application belongs to the field of aviation command and control, and in particular relates to a method for understanding UAV command intentions based on knowledge graphs. Background technique [0002] The space-based command and control system is a human-in-the-loop interactive control system. The construction of a knowledge map needs to be combined with the specific use style of the drone. The traditional database is independent of parameters, status and other information, and lacks effective data associations and causality of specific intentions. . [0003] Therefore, it is desirable to have a technical solution to overcome or at least alleviate at least one of the above-mentioned drawbacks of the prior art. Contents of the invention [0004] The purpose of this application is to provide a knowledge map-based method for understanding UAV's commanding intent, so as to solve at least one problem existing in the prior art. [0005] The ...

AI Technical Summary

Problems solved by technology

[0002] The space-based command and control system is a human-in-the-loop interactive control system. The construction of a knowledge map needs to be combined with the specific use style of the drone. The traditional database is independent of parameters, status and other information, and lacks effective data associations and causality of specific intentions.

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