多模块协同的企业管理智能决策方法及系统

By constructing enterprise production process flowcharts, collecting multi-source data, identifying anomalies, and making parallel reasoning decisions, the problem of cross-module data fusion was solved, realizing intelligent and consistent decision-making in enterprise management, and improving enterprise operational efficiency and security.

CN121660267BActive Publication Date: 2026-07-17SHANDONG YINGWEI ELECTRONIC TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG YINGWEI ELECTRONIC TECH CO LTD
Filing Date
2026-01-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing enterprise management and decision-making systems struggle to achieve real-time data fusion and collaborative analysis across modules, lack accurate identification of operational anomalies and risks, rely on human experience in the decision-making process, and are prone to conflicts and execution deviations.

Method used

By constructing an enterprise production process diagram, extracting entities as nodes, deploying measurement points to collect multi-source operational data, identifying abnormal deviations, performing counterfactual data expansion, conducting parallel reasoning and decision-making, and performing collaborative consistency analysis, collaborative intelligent decision-making is formed.

Benefits of technology

It enables intelligent management and decision-making across modules, improves the accuracy of data analysis and the consistency of decisions, reduces response delays and conflicts, and enhances enterprise operational efficiency and security.

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Abstract

本发明公开了多模块协同的企业管理智能决策方法及系统,涉及企业管理技术领域。方法包括:整合各业务模块,抽取实体节点,按业务流向连接成流程图;通过工业接口在节点布设测点,采集实时与历史数据、设备启停及超限事件,经时间对齐得到数据集;识别异常数据;基于流程图对异常数据做反事实扩展;结合原始与反事实数据进行多路并行推理;对多组结果开展协同一致性分析,获得协同智能决策结果。解决了企业管理中多业务模块间数据孤立、难以实时监测与快速响应生产异常的技术问题,达到了通过构建流程驱动的企业知识图谱,结合实时数据与反事实推演,进行多智能体协同决策,提升企业决策效率、优化资源配置和增强生产协同性的技术效果。
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