A method and system for digital management and precise service of civil relief business
By connecting with data platforms from multiple departments, building a comprehensive profile database, and conducting two-layer verification, combined with AI models and consortium blockchain evidence storage, the problems of poor data interoperability, insufficient verification accuracy, and blind spots in the civil affairs assistance system have been solved, achieving efficient and accurate assistance management.
Patent Information
- Application Number
- CN202610870618.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-16
- Publication Date
- 2026-08-18
AI Technical Summary
The existing civil affairs assistance information system suffers from poor cross-departmental data interoperability, insufficient accuracy in eligibility verification, blind spots in coverage, and difficulty in risk management, resulting in high rates of missed or incorrect coverage and low efficiency in auditing and verification.
By connecting with multi-department government data sharing platforms, collecting heterogeneous data from multiple sources and performing standardized cleaning, a full-dimensional profile database is constructed. A two-layer qualification verification mechanism is adopted, and AI models are used to identify hidden difficulties, enabling cross-departmental data interoperability and intelligent matching. Furthermore, a consortium blockchain is used for full-process data storage and evidence preservation.
It has enabled automatic data collection and verification across departments, improved the efficiency and accuracy of assistance eligibility verification, expanded the coverage, lowered the threshold for handling affairs, reduced errors and omissions in assistance, and improved audit and verification efficiency.