城市轨道交通车站运营装备系统碳排放监测与协同优化方案设计OA

In view of the challenges such as data silos,static and lagged accounting,and isolated and inefficient control faced by carbon emission management in operational equipment systems of urban rail transit stations,this paper proposed a full-chain digital management solution covering"monitoring,accounting,and optimization".First,a multimodal data fusion system was constructed,utilizing dynamic weight adjustment to break through the spatiotemporal alignment bottleneck of multi-source heterogeneous data.Second,a dynamic carbon emission accounting engine was designed,constructing a three-layer mechanism of"operational condition perception,dynamic correction,and hierarchical aggregation".This engine accurately captured the coupling characteristics between grid factors and passenger flow fluctuations,elevating the accounting precision to an hourly level.Finally,a multi-disciplinary collaborative optimization model was established,integrating short-term prediction and cross-system linkage rules to achieve active closed-loop regulation.Simulation verifications show that the solution effectively overcomes management lag and achieves an average daily carbon emission reduction of 22.2%under the premise of ensuring service levels.It also exhibits high robustness in Monte Carlo uncertainty analysis,providing a systematic theoretical method and technical path for the refined low-carbon operation of stations.