Evaluation and Optimization of City Infrastructure Multi projects Integration Control System

Abstract:

Aimed at implementing the rational modular partition and scientific evaluation, design structure matrix (DSM) theories and technologies were adopted to establish the evaluation and optimization methodology for city infrastructure multi projects integration control system, encompassing the algorithm of independent intensity and number, propagation cost, clustered cost etc. In terms of the system update, the genetic algorithm was combined with the clustering algorithm of DSM so as to achieve the most optimal update scheme. Changchun infrastructure multi projects integration control system was selected as the typical case, two versions of which before and after updating respectively were compared on degree of modularity and an update scheme for next generation had been put forwarded. The results verify the feasibility and effectiveness of the proposed methodology on modular partition, schemes evaluation and optimal selection, which provide theoretical and practical references for the development and maintenance of large integrated control system of the same kind.