Task intelligent implementation method and device, equipment and medium

By acquiring multi-source heterogeneous knowledge data, constructing a knowledge network, performing information retrieval and task-related knowledge generation, generating structured task execution plans, and recording task execution information, the problem of manual dependence in the execution of knowledge-intensive tasks is solved, the standardization and accuracy of task execution are improved, and the industry's compliance and regulatory requirements are met.

CN122412470APending Publication Date: 2026-07-17PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the execution of knowledge-intensive tasks relies on manual retrieval, which makes the rationality of task planning dependent on the experience of staff, makes it difficult to guarantee the standardization of execution, and results are not accurate enough to meet the industry's compliance and regulatory requirements.

Method used

By acquiring multi-source heterogeneous knowledge data, a knowledge network is constructed, information retrieval and task-related knowledge generation are performed, a structured task execution plan is generated, and task execution information is recorded to ensure standardization and traceability.

Benefits of technology

While achieving efficient integration of knowledge in knowledge retrieval and application scenarios, existing technologies rely on manual retrieval for knowledge-intensive tasks. This leads to the task planning's rationality depending on staff experience, making it difficult to guarantee standardized execution and resulting in insufficient accuracy, thus failing to meet industry compliance and regulatory requirements.

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Abstract

本发明涉及自然语言技术领域,公开了一种任务智能实施方法、装置、设备及介质,包括:获取多源异构知识数据;基于所述多源异构知识数据,进行知识库构建,得到知识网络;基于预设的用户任务指令,对所述知识网络进行信息检索,得到任务关联知识;基于所述任务关联知识,进行任务实施步骤生成,得到结构化任务执行计划;基于所述结构化任务执行计划,进行任务实施记录,得到任务执行信息。可应用于金融科技领域的保险合规审查场景以及医疗科技领域的医疗病历核查场景,提升知识密集型任务执行的精准性。
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