Contract performance consistency analysis and early warning method based on unstructured data analysis

By constructing a structured set of performance constraint features and a deviation comparison matrix, and parsing unstructured evidence files to obtain system metadata, the problem of semantic disconnect between performance logic and factual evidence in project management is solved, and proactive logical enforcement and content compliance control of contract performance consistency analysis are realized.

CN122415274APending Publication Date: 2026-07-17CMA METEOROLOGICAL OBSERVATION CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CMA METEOROLOGICAL OBSERVATION CENT
Filing Date
2026-03-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot effectively identify the substantive content in unstructured documents in engineering project management, resulting in a break between the performance logic and the semantics of factual evidence. They lack logical co-verification among multiple sources of evidence, cannot identify substantive default risks under compliant documents, and lack dynamic feedback and game-theoretic mechanisms in the performance process.

Method used

By parsing contract text to extract key performance indicators, constructing structured performance constraint feature groups, generating evidence collection templates, parsing unstructured evidence files to obtain system metadata, constructing a deviation comparison matrix for consistency verification, and using system metadata to match the physical execution context with business logic content, performance early warning signals are generated.

Benefits of technology

It enables proactive and enforced logic for contract performance consistency analysis, identifies risks of evidence reuse and temporal and spatial dimension deception, dynamically generates supplementary probes for relevant evidence, ensures compliant control of performance monitoring content, and reduces the disconnect between factual evidence and contractual obligations caused by human reporting.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及合同管理技术领域，公开了一种基于非结构化数据解析的合同履约一致性分析与预警方法，包括：解析合同文本提取关键履约指标并转换为结构化履约约束特征组；将特征字段映射为数据采集源验证规则以生成证据采集模板，获取合同执行生成的非结构化证据文件；解析证据文件提取实测特征信息与包含时间戳特征、地理位置特征以及硬件标识符的系统元数据；构建偏差比对矩阵并计算实测值相对于约定阈值的离散度；利用系统元数据匹配业务逻辑内容以生成关联信度；基于离散度与关联信度交叉核验，确定履约状态并输出预警信号，本发明构建由履约约束驱动证据采集的闭环机制，使履约监控由状态记录向逻辑强制约束转变。
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Citation Information

Patent Citations

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