Unmanned aerial vehicle cooperative operation method for water conservancy emergency monitoring scene

By constructing a multi-objective fitness function and using a genetic algorithm to plan UAV inspection routes, and combining deep learning and photogrammetry technologies, the problem of multi-functional integration and collaborative work of UAVs in water conservancy emergency monitoring was solved. This enabled efficient and accurate identification of water bodies and rescue targets, and provided intuitive decision support.

CN122064128APending Publication Date: 2026-05-19YELLOW RIVER ENG CONSULTING CO LTD
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Patent Information

Application Number
CN202610244894.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-02
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

In water conservancy emergency monitoring scenarios, drones are difficult to integrate multiple functions and work efficiently and collaboratively, and cannot meet the comprehensive needs of multi-dimensional and timely information.

Method used

A multi-objective fitness function is constructed, a genetic algorithm is used to plan the inspection route and tasks of the UAV, and data processing is performed by combining deep learning models and photogrammetry technology to generate a virtual and real combined monitoring image, realize water area segmentation and target recognition, and trigger multi-level alarms.

Benefits of technology

It enables efficient collaborative monitoring of multiple drones, accurately perceives water areas and rescue targets, provides intuitive decision support, and improves the coverage and timeliness of emergency monitoring.

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Abstract

The invention discloses an unmanned aerial vehicle cooperative operation method suitable for a water conservancy emergency monitoring scene, and the method achieves the global optimization of an inspection route and the balanced distribution of tasks under a multi-constraint condition through the full-link technology fusion of equipment integration, intelligent planning, precise collection, intelligent processing, spatial analysis and GIS visualization. And rapid identification and accurate geographic positioning of specific targets such as trapped persons, water body region segmentation and water line extraction provide accurate data support for emergency disposal. Meanwhile, virtual-real fusion of an unmanned aerial vehicle video stream and a GIS scene is realized through an image and real geographic coordinate matching technology, multi-dimensional data such as a target position, a waterline change and alarm information are visually superposed and presented, and by matching with view interaction and historical playback functions, emergency commanders can grasp the scene situation in real time, the decision difficulty is greatly reduced, and the emergency commanders can conveniently carry out emergency commanders. And the scientificity and efficiency of rescue scheduling and dangerous case disposal are improved.
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