Analysis on the Strategy for Construction Quality Optimization Management of Municipal Road Engineering Based on Fast Mining Algorithm for Large Cloud Data

In view of the insufficient in the existing researches that the non-linearity of subcontracting resource system for the municipal road engineering construction is ignored, combined with the theory of road construction quality optimization management in the context of cloud data, a kind of strategy for construction quality optimization management of municipal road engineering based on fast mining algorithm for large cloud data (referred to as FMALCD for short) is put forward to achieve the effective analysis on the construction quality optimization management of the municipal road engineering. Firstly, after the identification of the conditions under the dynamic constraints of the municipal road engineering construction, the serial number of the first construction node is calculated. Reordering is carried out to meet the optimization characteristics of the construction quality optimization management. In the FMALCD, the nonlinear characteristics of a kind of fast mining for the cloud data is combined in the application to further optimize the issue of the municipal road engineering construction quality optimization management. In addition, analysis is carried out on the performance of the algorithm through simulation experiment. The analysis is conducted mainly from the perspective of effectiveness, relative advantages and so on.