基于权限管理的多维度系统参数配置方法及系统

By generating multi-dimensional permission feature sets and dynamic chain decision sets, the problem of insufficient correlation judgment in multi-dimensional system parameter configuration is solved, realizing more accurate and flexible permission management and improving the stability and accuracy of resource access control.

CN121997355BActive Publication Date: 2026-07-17BEIJING WAISTE TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING WAISTE TECHNOLOGY CO LTD
Filing Date
2025-12-31
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies lack a comprehensive judgment on the correlation between multiple source elements in multi-dimensional system parameter configuration, resulting in coarse condition splitting, rigid dimension boundaries, inflexible rule response, easy matching deviation and misjudgment, inaccurate configuration range division, and unstable resource access control effect in complex business scenarios.

Method used

By acquiring configuration requests submitted by users, the system parses and normalizes user permission identifiers, resource sensitivity levels, task types, and environment trustworthiness to generate a multi-dimensional permission feature set. This set is then combined with a permission rule base for conditional splitting and similarity clustering, interval comparisons and error calculations are performed to generate a dynamic chain-like decision set, ultimately producing the system parameter configuration result.

Benefits of technology

It achieves dynamic quantification of permission relationships in multi-segment association states, and the difference compensation mechanism makes the configuration results more in line with the needs of the scenario. The overall processing process maintains consistency and accuracy, and reduces matching deviation and rigid response.

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Abstract

本发明涉及访问控制技术领域,具体为基于权限管理的多维度系统参数配置方法及系统,包括以下步骤:通过解析配置请求并提取权限标识资源敏感等级任务类型环境可信度后完成归一化推断生成多维特征,拆分规则条件并聚类匹配得到片段,比对区间端点并计算差值划分片段结果,基于链式状态累计权重并对差值补偿形成动态决策,结合任务类型确定操作生成最终配置结果,本发明中,通过请求属性归一化构建多维特征集,结合相似度聚类与区间差值形成可比较条件链,使多片段关系得到动态量化,差值补偿平衡失败片段影响,任务类型匹配强化场景一致性,关联性推断与链式决策缓解静态比对僵硬与偏差问题,使权限判定更连贯准确。
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