Ground engineering construction quality supervision digital delivery system
By constructing a unified data pool for object coding, object-level spatiotemporal consistency association and pre-concealment consistency verification of multi-source data with activities, events, images, and point clouds are realized, solving the problem of difficulty in consistency verification of multi-source data in existing technologies and achieving efficient quality supervision and delivery management.
Patent Information
- Application Number
- CN202511764635.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-03-06
AI Technical Summary
Existing technologies struggle to use object encoding as the primary key to achieve object-level spatiotemporal consistency association between multi-source data and activities, events, images, point clouds, and detection, while simultaneously enforcing consistency verification and differential loop closure before concealment, and completing point cloud fusion, rule-based batch quality verification, and object-level auditable delivery.
The system employs a data access encoding module to generate an object tree and establish a one-to-one correspondence between object instances and object codes. The evidence chain collection and quality inspection module enables structured activity records and pre-concealed counter-evidence. The digital twin construction module achieves unified spatiotemporal benchmarks and point cloud fusion playback. The rule engine evaluation module performs rule verification and differential rectification. The delivery and asset management module performs object-level grouping delivery and asset access management. The quality audit and acceptance module performs progress-triggered acceptance and trial use tracking certification.
It achieves spatiotemporal consistency association of object attributes, activity records and evidence chains, consistency verification of pre-concealment images, point clouds and detection, generation of blockable differentials, unified benchmark fusion of point clouds, support for 3D playback, batch verification and issuance of rectification rules, and object-level delivery lists and fingerprints to support cross-platform identification and auditing, forming a traceable link.