A method and system for intelligent data storage, fusion and governance of multi-sensor monitoring data

By configuring semantic templates and a governance plan driven by multidimensional quality vectors for multi-sensor monitoring data, the challenges of data access and fusion in multi-sensor monitoring are solved, achieving automated and reliable data entry and fusion governance, reducing operation and maintenance costs and improving the robustness and interpretability of the system.

CN122086883BActive Publication Date: 2026-07-17CHINA UNIV OF MINING & TECH +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF MINING & TECH
Filing Date
2026-04-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies in multi-sensor monitoring suffer from problems such as discrete data access links, difficulty in unifying heterogeneous protocols and field semantics, difficulty in dynamically adjusting processing strategies according to operating conditions and quality, difficulty in verifying cross-source consistency, and lack of verifiable lineage evidence in the governance process. These issues lead to high operation and maintenance costs, difficulty in reusing across projects, and inaccurate anomaly detection.

Method used

By configuring semantic templates for each data source, performing standardization processing and adjustment calculations, generating multidimensional quality vectors, and driving governance plans based on multidimensional quality vectors and comprehensive quality scores, and combining finite state machines to coordinate the collection, calculation, governance and push processes, a verifiable phylogenetic evidence chain is formed, enabling automatic data entry and integrated governance.

Benefits of technology

It lowers the access threshold, improves link stability and the interpretability of the processing, enhances the reliability of the fusion results, reduces manual on-site monitoring and maintenance costs, and supports auditing and accountability in cross-unit collaboration scenarios.

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Abstract

This invention discloses an intelligent data entry and fusion governance method and system for multi-sensor monitoring data. The method includes: configuring a semantic template for each data source; standardizing the original monitoring data and generating an input summary within the original observation time window; performing adjustment calculations within the solution time window to construct a multi-dimensional quality vector containing residuals, stability, completeness, timeliness, and cross-source consistency; generating a governance plan based on the multi-dimensional quality vector; executing governance and encapsulating the governance basis package; configuring a push time window and a recalculation time window; determining whether to distribute governance results through a push gate function; and triggering recalculation upon failure. This invention achieves automatic alignment of heterogeneous data through semantic templates, drives a closed-loop governance orchestration with multi-dimensional quality vectors, and combines cross-source consistency verification, phylogenetic evidence chain tracing, and recalculation mechanisms to effectively improve the automation level and reliability of multi-sensor monitoring data access and fusion governance.
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