一种基于决策流的流程节点处理效率监测方法

By collecting the input data volume and processing time of decision flow nodes in real time, the instantaneous efficiency stiffness is determined, efficiency-vulnerable nodes are identified, and bidirectional coupling analysis is performed. This solves the problems of accuracy in health status assessment and efficiency in fault location of decision flow nodes, and achieves efficient fault diagnosis and business continuity assurance.

CN121998400BActive Publication Date: 2026-07-17国投人力资源服务有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
国投人力资源服务有限公司
Filing Date
2026-04-01
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are insufficient to fully depict the true health status of decision flow nodes and lack correlation analysis of the mutual influence between nodes, resulting in insufficient timeliness and accuracy in troubleshooting.

Method used

By collecting the amount of input data and processing time of decision flow nodes in real time, the instantaneous efficiency stiffness is determined, efficiency-vulnerable nodes are identified, and upstream and downstream related groups are constructed to conduct bidirectional efficiency impact coupling analysis, forming inefficient transmission paths and generating hierarchical early warning information.

Benefits of technology

It enables accurate assessment of the efficiency of decision flow nodes, rapid identification of risk sources, ensuring business continuity, reducing false alarms and missed alarms, and shortening fault repair time.

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Abstract

本发明属于决策流程节点效率监测技术领域,具体公开一种基于决策流的流程节点处理效率监测方法,通过采集决策流节点的输入数据量与处理耗时进行效率刚度分析以量化节点的效率脆弱性,能够最大限度提高效率状态评判的精准度,与此同时在基于效率刚度识别效率脆弱节点的基础上根据节点间的数据传递关系确定每个效率脆弱节点的下游节点,构成上下游关联组,通过对组内节点对实施上游至下游的正向负载传导与下游至上游的反向背压阻滞的双向耦合评估,使得效率分析得以从表层的耗时观测深入至底层的因果逻辑推演,由此生成的风险传导路径,为运维人员提供了效率劣化传播链路,使其能快速定位风险源头节点,从而大幅缩短修复时间。
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