A search and rescue human-machine interaction enhancement method and system based on heterogeneous multi-agent

By constructing a search and rescue situation map and coordinating task orchestration, the problems of search and rescue strategy generation deviation and inefficient decision-making authority switching were solved, achieving high efficiency and accuracy in search and rescue operations and improving search and rescue efficiency and smoothness.

CN122175182APending Publication Date: 2026-06-09THE NAVAL MEDICAL UNIV OF PLA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
THE NAVAL MEDICAL UNIV OF PLA
Filing Date
2026-01-16
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies are insufficient in multimodal information processing and situational awareness in the search and rescue field, leading to deviations in search and rescue strategy generation and unsmooth switching of decision-making authority, which affects the efficiency and accuracy of search and rescue operations.

Method used

By using multimodal information to conduct situational awareness and construct a search and rescue situation map, coordinating task orchestration and revising the initial search and rescue strategy, enabling permission switching and dynamic reconstruction in the decision-making process, and generating a final updated strategy to improve search and rescue efficiency.

Benefits of technology

It improved the timeliness and accuracy of search and rescue strategies, strengthened strategy optimization in the human-computer interaction process, and enhanced the efficiency and smoothness of collaborative search and rescue operations among heterogeneous multi-agent systems.

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Abstract

The application relates to the technical field of search and rescue interaction, and discloses a search and rescue man-machine interaction enhancement method and system based on a heterogeneous multi-agent, which comprises the following steps: constructing a search and rescue situation graph by performing situation awareness on search and rescue environment data in multi-modal information; performing collaborative task arrangement on the heterogeneous multi-agent based on the search and rescue situation graph, obtaining an initial search and rescue strategy, and compiling correction instructions for the initial search and rescue strategy to obtain strategy correction parameters; performing permission switching operation on a decision process based on the strategy correction parameters to obtain a manual intervention decision mode; dynamically reconstructing the initial search and rescue strategy based on the manual intervention decision mode to obtain an intermediate strategy version; performing fusion optimization on the intermediate strategy version to obtain a final updated strategy; and performing collaborative driving control on the heterogeneous multi-agent based on the final updated strategy to obtain collaborative search and rescue results; and the application can improve the search and rescue man-machine interaction efficiency of the heterogeneous multi-agent.
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