This invention discloses a digital twin management and
inspection method and
system for gas risers. The method establishes a riser feature map by performing a weighted analysis of
missing data from survey records and geospatial data. It generates a twin archive set of shading depth data through
gradient analysis of facade
visibility angles and correction of shading deviations, which is then fused with
record attributes to form a twin correlation matrix. Through
coupling analysis of shading depth and inspection intervals, and identification of reverse deviations in
pipe age and maintenance density, it generates mismatch classification markers. Dynamic rolling scheduling is performed on these mismatch markers. A
hazard avoidance confirmation set is obtained through cross-inspector omission rate comparison and
accessibility obstacle cluster identification. A graded disposal
task group is generated by suppressing false low-risk situations using vacancy-coordinated over-limit difference. Finally, through prediction of sudden changes in on-duty
time difference and correction of fatigue coordinate drift, the method integrates scheduling status feedback to output the riser twin inspection results, achieving continuous refinement of the gas riser twin status and proactive
risk detection.