Serial code entry automation document generation and process management method and system

By incorporating multi-scenario intelligent classification, automated document generation, and end-to-end data verification modules, combined with five-segment coding and a dynamic rule engine, the system addresses the issues of poor adaptability, reliance on manual intervention, and data silos in existing serial number entry systems, achieving efficient, accurate, and flexible serial number entry and control.

CN122415008APending Publication Date: 2026-07-17CHINA COMSERVICE NETIT TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA COMSERVICE NETIT TECH CO LTD
Filing Date
2026-04-08
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing serial number entry systems cannot automatically identify business scenarios in real time based on serial number characteristics and operation parameters, resulting in poor adaptability, low efficiency, easy errors in manual entry, waste of resources and processing delays due to static process scheduling, and serious data silos caused by multi-source data association bottlenecks, making it difficult to trace the entire chain.

Method used

It employs a multi-scenario intelligent classification module, an automated document generation module, a full-link data verification module, and a differentiated process control module. Combined with a rule-and-model hybrid classification mechanism, a five-segment coding algorithm, and a dynamic rule engine, it achieves real-time scenario recognition, low-latency association of multi-source data, and dynamic process scheduling. Combined with the Flowable workflow engine to extend the feedback learning mechanism, it achieves efficient, accurate, and flexible serial code entry control.

Benefits of technology

It achieves real-time intelligent recognition of serial code input scenarios without manual judgment, breaks through the rigidity of scenario discrimination, realizes low-latency correlation and filling of multi-source data, dynamically schedules the review process, ensures high reliability verification of data throughout the entire chain, and solves the core technical bottlenecks of existing technologies.

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Abstract

本发明公开了串码录入自动化单据生成与流程管控方法及系统,属于单据生成与管控技术领域。本发明通过场景自动识别,实现串码录入场景的实时智能识别,无需人工干预场景判定,突破传统系统场景判别僵化的技术瓶颈;通过定制化编码算法与动态规则引擎,实现多源数据低延迟关联填充与唯一单据生成;基于Flowable工作流引擎扩展反馈学习机制,实现审核流程的动态调度与优先级自适应调整;结合流水线式校验框架,实现数据全链路高可靠校验,最终突破现有技术的核心技术瓶颈,实现串码录入的高效、精准、灵活管控。
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