一种任务规划方法和装置

By establishing a task subgraph and scoring the selection of target paths, control instructions executable by automated equipment are generated, solving the problem that automated equipment has difficulty in handling natural language task objectives in existing technologies, and improving the efficiency and operability of task planning.

CN122131733BActive Publication Date: 2026-07-17CHINA SOUTHERN POWER GRID ARTIFICIAL INTELLIGENCE TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA SOUTHERN POWER GRID ARTIFICIAL INTELLIGENCE TECHNOLOGY CO LTD
Filing Date
2026-05-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, task planning for automated equipment relies on predefined rule sets, which cannot handle complex task objectives described by users in natural language. Furthermore, the planning algorithms ignore the coordination between multiple tasks and the operability at the execution level, resulting in low efficiency and poor executability.

Method used

A task subgraph is built based on natural language task instructions. The target task path is selected through scoring criteria and converted into a sequence of control instructions. Considering resource conflicts between nodes, connection relationships and semantic similarity between adjacent entity nodes, control instructions that can be executed by automated equipment are generated.

Benefits of technology

This enables automated equipment to efficiently generate executable control commands based on natural language instructions, improving the efficiency of task planning and ensuring the operability of execution.

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Abstract

本申请涉及一种任务规划方法和装置。包括:基于获取到的自然语言任务指令,建立与自然语言任务指令对应的任务子图;根据从自然语言任务指令中识别得到的起始节点和结束节点在任务子图中进行搜索,得到多条初始任务路径;对于每一初始任务路径基于预设的评分标准进行评分,确定评分大于预设评分阈值的目标任务路径,其中,评分标准包括基于任务子图中实体之间连接关系的校验的评价、基于任务路径中相邻的实体节点的使用冲突校验的评价、基于任务路径中相邻实体节点的语义相似度的评价;根据目标任务路径转换得到控制指令序列,控制指令序列用于指示对应的自动化设备执行任务。通过本申请可高效完成实际可执行的自动化设备的任务规划。
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