The Information Integrated Management Of Construction Enterprise Project Based On Omniclass

With the rapid development of China’s construction enterprises， the projectinformation integrated management gradually be taken seriously. In the domesticconstruction enterprises， more and more enterprise want its project managementinformatization，make their everyday work paperless，take a full range of informationmanagement of construction projects. This paper aims to explore how to take integratedmanagement in large-scale construction enterprises，how to classify project information，make a full range of comprehensive evaluation.Based on the analysis on the basis of the status of the domestic and internationalintegrated management of project information，find that integrated management of projectsat home and abroad basically are all aim to the owners of enterprises，there is a little studyin the project information integrated management of construction enterprise. According tothe study of construction enterprise project management and construction enterpriseinformation integration management theory，in order to integrate headquarters, branchoffices, project department，find an appropriate classification approach to project-relatedinformation to classify，to facilitate data seamless logistics，reference Omniclass advancedinformation classification method to classify project information from several differentangles，To establish a set of building enterprise project information standard system，classify a highway project as an example，and summed up the exchange of principles andnumber of rules.Finally，according to the summarize of project information classification，find asuitable comprehensive evaluation method-Fuzzy Comprehensive Evaluation Method，establishing a comprehensive evaluation system of construction enterprises，selectingconstruction enterprise project information standard system table05data as a basis，empirical analysis on an actual road projects， giving composite score by thecomprehensive evaluation of this project，provides the most intuitive data support the decision-making of the leader.