Water area video intelligent analysis and early warning method based on AI agent

Abstract

The application relates to the field of intelligent video monitoring and early warning, and discloses a water area video intelligent analysis and early warning method based on an AI intelligent agent, which comprises the following steps: acquiring unmanned aerial vehicle aerial survey data of a target river channel to construct a river channel space model, identifying a monitoring area including a first type and / or a second type of risk area, and establishing a corresponding water area video monitoring system of the monitoring area and edge computing equipment and camera identification; combining a hydrological seasonal state to generate an unmanned aerial vehicle inspection strategy, so that the unmanned aerial vehicle inspects according to the strategy; when receiving abnormal event indication information, triggering the edge computing equipment to perform AI analysis on camera video and unmanned aerial vehicle real-time data, obtaining target characteristic parameters, and dividing the event into low, medium or high risk according to the target characteristic parameters; selectively storing and scheduling video data of low and medium risk events, and generating an early warning for a high risk event and pushing the early warning to a management terminal. Thus, hierarchical monitoring and hierarchical disposal of key risk areas of a river channel are realized.

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