Heterogeneous data uploading management and control and abnormality monitoring method and system
By integrating and encrypting multi-source data and configuring a task scheduling mechanism, a closed-loop management system for cross-regional subsidy data was achieved, solving the problems of data inconsistency and low processing efficiency in the traditional model, and improving the accuracy and timeliness of subsidy business.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUNING COM CO LTD
- Filing Date
- 2026-03-08
- Publication Date
- 2026-06-19
AI Technical Summary
The traditional manual data submission model cannot meet the needs of large-scale, cross-regional subsidy operations. It suffers from problems such as data inconsistency, high human processing error, low efficiency, data backlog, and difficulty in policy adaptation, which affect the timeliness and accuracy of subsidy fund disbursement.
By integrating heterogeneous data from multiple sources to form a unified data source, using hashing algorithms for encrypted storage, performing data cleaning and verification according to differentiated rules, configuring a task scheduling mechanism, achieving closed-loop management and anomaly monitoring of the entire data chain, and supporting multi-dimensional verification and full-process traceability.
It improved the standardization and accuracy of data processing, shortened the time for data transmission, reduced the error rate and risk of financial loss, and improved the efficiency of anomaly handling and system adaptability.
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