Research On Bidding Priceof Metro Station Based On Knowledge Management

At present, the reform of urbanization is developed in china. There are more than 40 cities constructing urban rail transit during 2015 including 2400 km planning line length and the scale of investment of nearly 700 billion. Metro station has a profound impact on the construction as the initial stage of the bidding construction projects. Currently the vast majority of urban subway stations still troubled in low bid. Bidding work has strong practical feature and needs to rely on the expertise and knowledge. However, these knowledge especially the accumulation of tacit knowledge lack sustainability because of the high mobility of construction talent. So how to efficiently collect, study and reuse bidding cases in metro station occurred in the past and present is the problems to be solved.In recent years, the knowledge management is more and more attention by experts and scholars the field of project management, of which case-based reasoning is an important research field of artificial intelligence. The basic ideas of the solution to the problem have the same view happen to the actual engineering work, information, intelligence ideas in cost estimate in bidding project.In view of this, we propose the cost estimate method during bidding in subway station based on knowledge management issues existing in bidding project Based on the case reasoning of case knowledge bidding system, the paper integrated applicate vector space, text mining, clustering similar knowledge of algorithms and construct the algorithms using the above theories and methods of case analysis. Then the paper realize a preliminary study based on case-based reasoning bidding project cost estimation problems, Compared with the actual cost of the project, the deviation range is about-7%--8%, which has a certain reference value.