A multi-source construction data analysis and storage method and device
By conducting credibility assessment and edge weight correction on multi-source construction data, constructing a correlation graph and performing path compression, the problems of poor alignment quality and low storage efficiency of multi-source construction data are solved, and efficient data management and anomaly tracing are achieved.
Patent Information
- Application Number
- CN202610865064.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for multi-source construction data analysis suffer from problems such as data jitter, spatial drift, poor alignment quality due to event duplication, inaccurate edge weight allocation, inability to extract the main construction chain, and lack of conflict backtracking and hierarchical storage mechanisms.
By collecting multi-source construction data, encoding is performed based on time reference and grid division, data source reliability is calculated, and time window width and grid granularity are adjusted to align the data; an association graph is constructed and edge weights are corrected, path compression is performed, the longest construction main chain is extracted, differential fingerprints are generated and locally reassembled and stored.
It achieves efficient data alignment and storage, reduces computational analysis and storage overhead, supports rapid tracing of construction anomalies and reliable data management, and meets the needs of high-frequency tracing and high-consistency analysis of modern engineering data.
Smart Images
Figure CN122412893A_ABST