In the context of smart city renewal, there are issues such as data fragmentation and disconnection in underground integrated pipe galleries. This paper takes the urban information model as the core: (1) It constructs a three-layer CIM data model at the city level, engineering level, and asset level, and proposes a multi-source data integration algorithm of “spatial-semantic-time alignment + integrity evaluation”; (2) Oriented towards the number of collisions, rework costs, and operation-friendliness, it designs a multi-objective optimization and 4D construction rolling scheduling algorithm, and automatically re-arranges the plan when the deviation of key tasks exceeds 1 day or 5%; (3) It introduces equipment health index HI and environmental risk index R, and builds a “monitoring – prediction – work order” intelligent operation and maintenance algorithm chain. Engineering applications show that the data integrity during the construction stage has increased from 0.62 to 0.88, and the progress fulfillment has increased from 0.70 to 0.86. During the operation and maintenance stage, the inspection coverage rate has increased from 0.68 to 0.90, and the annual failure rate has decreased from 0.42 to 0.21 times/unit/year, verifying the effective support of the CIM-driven algorithm system for the intelligent construction and operation of underground pipe galleries.
Povzetek: Using City Information Modelling (CIM), this paper builds a three-layer city–project–asset data model with algorithms for data integration, design optimization, rolling construction scheduling and predictive O&M, unifying surveying, design, construction and operation data in a single object library.
