A low altitude defense platform deployment system and method

By using data acquisition and capability quantification modules to perform unified quantification of the low-altitude defense platform, and combining this with multi-agent collaborative optimization using the AI ​​intelligent agent search module, the problems of inaccurate performance evaluation and low optimization efficiency of the low-altitude defense platform deployment scheme were solved, and a highly efficient and compliant globally optimal deployment scheme was generated.

CN122243250APending Publication Date: 2026-06-19BAIYANG TIMES (BEIJING) TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BAIYANG TIMES (BEIJING) TECH CO LTD
Filing Date
2026-05-25
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

The existing low-altitude defense platform deployment schemes lack a unified capability quantification evaluation benchmark, resulting in inaccurate performance assessments and non-compliant generated schemes. Furthermore, the optimization efficiency is low, making it difficult to obtain a deployment scheme with better overall performance within a reasonable timeframe, and thus failing to meet the rapid response requirements of emergency protection scenarios.

Method used

The data acquisition module acquires defense area and platform information, which is then uniformly quantified by the capability quantification module. Multiple parallel AI agents and a shared memory area in the AI ​​agent search module are used to generate and evaluate candidate deployment schemes. Finally, the optimal global deployment scheme is determined by combining constraints and target evaluation indicators.

Benefits of technology

It achieves multi-objective comprehensive optimization while meeting compliance requirements, improves the overall protection effectiveness of heterogeneous platform collaborative deployment solutions, enhances search efficiency, shortens solution generation time, reduces the risk of getting trapped in local optima, and meets emergency response needs.

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Abstract

This application discloses a low-altitude defense platform deployment system and method. The system includes: a data acquisition module for acquiring relevant data of the defense area and information on available platforms; a capability quantification module for uniformly quantifying the capability parameters of each platform to obtain standardized capability descriptions; an AI agent search module, comprising multiple parallel-working AI agents and a shared memory area; each AI agent iteratively executes the generation of candidate deployment schemes, calculation of constraint violations, and evaluation of comprehensive performance scores, and updates the locally optimal deployment scheme based on the evaluation results, exchanging scheme information through the shared memory area to guide subsequent searches; and a scheme determination module for determining the globally optimal deployment scheme when termination conditions are met. This application improves the comprehensive protection effectiveness and planning efficiency of heterogeneous defense platform deployment schemes through capability quantification and multi-agent parallel collaborative search, achieving automated global optimization deployment under complex constraints.
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