基于AI、RPA和AI Agent的资源处理方法、装置和设备

By leveraging AI, RPA, and AI Agent technologies, we can acquire information on storage resource usage and business data relationships, formulate dynamic resource processing strategies, and solve the problems of high manual costs and system crashes in information system storage resource management, thereby achieving automated and efficient resource management.

CN118796462BActive Publication Date: 2026-07-17BEIJING BENYING NETWORK TECH CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING BENYING NETWORK TECH CO LTD
Filing Date
2024-06-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for information system storage resource management suffer from high labor costs, the inability to clean up in a timely manner leading to system crashes or downtime, and simple cleaning methods that cannot meet the needs of business development, resulting in waste of storage resources or loss of business data.

Method used

By employing AI, RPA, and AI Agent technologies, dynamic resource processing strategies are formulated by acquiring information on the usage of storage resources and the relationship between business data. This automatically cleans up or migrates historical business data, reducing manual intervention and improving the rationality and efficiency of strategy formulation.

Benefits of technology

It has enabled automated resource management of information systems, reduced labor costs, decreased the probability of system crashes, improved the efficiency and rationality of resource processing, adapted to business development needs, and avoided waste of storage resources and data loss.

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Abstract

本公开提出一种基于AI、RPA和AI Agent的资源处理方法、装置和设备,涉及AI、RPA和AI Agent领域,其中,方法包括:若当前时间下信息系统对存储资源的资源占用量达到资源预警值,则获取资源与业务数据的关系信息;关系信息用于指示业务数据在历史时段内对存储资源的使用情况;根据关系信息和资源预警值,确定资源处理策略;执行资源处理策略,以对当前时间之前写入信息系统的业务数据进行清理或迁移。由此,可降低信息系统出现运行崩溃的概率,避免信息系统频繁地出现因为存储资源使用过载而无法使用的问题。此外,可基于AI、RPA和AI Agent技术,制定动态的资源处理策略,可提升资源清理或迁移的效率和合理性。
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