一种基于AI实时监控的机针库存状态更新方法

By using AI real-time monitoring and a multi-source data credibility weighted fusion model, the problems of data error accumulation and unscientific replenishment decisions in needle inventory management have been solved, achieving real-time accuracy of inventory data and scientific replenishment decisions.

CN121481423BActive Publication Date: 2026-07-17FUZHOU UNIV
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Patent Information

Application Number
CN202610014376.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-07
Publication Date
2026-07-17
Estimated Expiration
2046-01-07

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Abstract

本发明公开了一种基于AI实时监控的机针库存状态更新方法，具体涉纺织机械配件仓储库存管理领域，包括以下步骤：S1多源库存数据与运营数据采集：基于物联网技术采集实时库存数据，形成实时库存原始采集数据集；调取运营数据，经预处理形成企业运营预处理数据集；S2多源数据可信度加权融合的库存实时修正：构建可信度损耗补偿数学模型，获取真实库存数据集；S3动态安全库存与补货阈值自适应计算：构建适配运营动态的数学模型，形成动态安全库存数据集与补货阈值数据集；S4综合运算与决策输出：计算库存充足度系数，生成补货决策数据集。本方法提升库存更新准确率与补货科学性，满足机针精细化库存管理需求。
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Citation Information

Patent Citations

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