The best way to conference proceedings by Scholar Publishing Group

Scholar Publishing Group

Information Management System of Engineering Cost Based on Big Data

Download as PDF

DOI: 10.38007/Proceedings.0000864


Fang Wang and Yonglu Gao

Corresponding Author

Fang Wang


The determination of engineering project cost is one of the important contents of engineering project management, but the estimation of engineering cost generally has the disadvantages of large error and long preparation time. With the continuous development of computer science, big data technology is one of the very popular research topics. The purpose of this article is to study the engineering cost information management system based on big data. This article analyzes the cost information collection, cost information storage, platform function maintenance and other aspects of the project cost information management platform, combines the hadoop technology to build the project cost information management platform, and tests the acceleration status and system operation efficiency under the hadoop technology To realize the construction of engineering cost information management platform, and then meet the actual needs of engineering cost information management and information control. The experimental results show that in the relatively small amount of data, the number of data nodes increases, and the processing speed index gradually increases. In the case of a large amount of data, the acceleration ratio is positively correlated with the data nodes. The operating efficiency of the hadoop cluster will gradually increase, and the operating status is relatively stable. When the amount of data is 1 million and the number of nodes is 4, the running time is 10 seconds.


Big Data; Engineering Cost; Information Management System; Cost Management