A police unmanned aerial vehicle cluster scheduling method and system

Abstract

The application relates to the technical field of unmanned aerial vehicle scheduling, and discloses a police unmanned aerial vehicle cluster scheduling method and system, which comprises the following steps: acquiring a police task instruction issued by a police unmanned aerial vehicle scheduling system, performing intention analysis on the police task instruction, extracting a task intention and an expected flight behavior, converting the task intention and the expected flight behavior into a semantic flight plan understood by an external civil low-altitude traffic management system, submitting the semantic flight plan, receiving returned airspace information, acquiring an artificial intervention instruction of a ground command center, identifying an emergency intention of the artificial intervention instruction, comprehensively evaluating the artificial intervention instruction, adjusting anti-collision logic parameters in a police unmanned aerial vehicle cluster according to a comprehensive evaluation result, and acquiring a behavior change intention of an unmanned aerial vehicle in the police unmanned aerial vehicle cluster, so that the unmanned aerial vehicles in the police unmanned aerial vehicle cluster are coordinated to perform cooperative avoidance or formation adjustment. The application effectively solves the problem that internal instructions of a police system and external system semantics are incompatible, and improves the accuracy of instruction analysis.

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