A method and system for one-key deployment and start of a drone cluster algorithm

By incorporating modules for environmental detection and tool selection, unified inventory management, task orchestration, multi-tool adaptation engine, and status aggregation and feedback, the system addresses issues such as low efficiency, inconsistent configurations, and poor tool compatibility in drone swarm deployment. This enables rapid, consistent, and reliable one-click full-process deployment and startup, thereby improving the deployment efficiency and reliability of drone swarms.

CN122242950APending Publication Date: 2026-06-19SUN YAT SEN UNIVERSITY SHENZHEN +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUN YAT SEN UNIVERSITY SHENZHEN
Filing Date
2026-03-18
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing drone swarm deployment technologies suffer from inefficiency, inconsistent configurations, high technical barriers, lack of scalability and maintainability, and poor tool compatibility. In particular, they are difficult to achieve fast, reliable, one-click, end-to-end deployment in dynamic networks and resource-constrained environments.

Method used

Employing modules for environmental detection and tool selection, unified inventory management, task orchestration, multi-tool adaptation engine, and status aggregation and feedback, this system enables rapid, consistent, and reliable one-click full-process deployment and startup of heterogeneous drone swarms through standardized node information models, declarative task templates, and intelligent decision-making.

Benefits of technology

It achieves an order-of-magnitude improvement in deployment efficiency, ensures consistency and high reliability of cluster configuration, lowers the technical threshold, enhances environmental adaptability and full lifecycle operation and maintenance capabilities, and supports rapid response and efficient cluster management.

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Abstract

This invention discloses a method and system for one-click deployment and startup of UAV swarm algorithms. The method includes the following steps: Step S1: Perform environment preparation and tool selection, detect the network connectivity and basic node resources of the target UAV swarm, obtain environment assessment results, and select at least one deployment tool based on the environment assessment results; Step S2: Construct a unified list based on the environment assessment results; Step S3: Select at least one deployment task template from a predefined task template repository and orchestrate it into a deployment task flow; Step S4: According to the deployment task flow, call the selected deployment tool through a multi-tool adaptation engine to execute the deployment task flow; Step S5: Generate a swarm deployment status view; Step S6: Output a deployment report and provide repair suggestions or automatic retry. This invention achieves fast, consistent, reliable, and tool-insensitive one-click full-process deployment and startup of heterogeneous UAV swarms.
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