Abstract
In today’s society, engineering cost management and control is very important content. With the increasing number and scale of construction projects in China and huge investment funds, the collection and sorting of all kinds of information data in construction projects has become one of the problems that need to be solved. Therefore, building the construction project cost management and control system is one of the powerful means to improve the work efficiency of processing information and data, which is also very necessary. This paper mainly analyzes the construction of a perfect, efficient, and rapid processing of relevant information workflow based on large database technology to achieve the whole process of project tracking management and effective cost management and control target system. First of all, this paper introduces the construction project cost management, expounds the characteristics of the management system, and studies the application of big data in the construction project. On this basis, the construction project management software is designed and developed. At the same time, the requirements of the system are studied, and the system is tested. The final test results show that the system has a fast processing time and high processing efficiency in processing the above data, which indicates that the construction project cost management and control system based on big data has obvious advantages in processing large-scale data. When the amount of data is small, the processing speed increases exponentially with the increase of nodes. When the amount of data is large, the acceleration ratio is positively correlated with the number of nodes in a certain proportion. With the increase of nodes, the ratio almost remains unchanged, indicating that the system has high operation efficiency and is relatively stable with the increase of nodes.
Highlights
In the era of big data, construction project cost management and control has become the object of concern and attention of all walks of life in China. ere are many complex and diverse characteristics in all links and stages of engineering projects
Big data technology provides us with more colorful information resources and can effectively avoid the problem of low efficiency caused by the traditional mode
Chinese scholars use the Internet and cloud computing technology to collect and process massive information, analyze and integrate it to provide strong support for investment decisions, and establish a set of database systems required by various industry institutions and government organizations to control risks scientifically and effectively
Summary
Chinese scholars use the Internet and cloud computing technology to collect and process massive information, analyze and integrate it to provide strong support for investment decisions, and establish a set of database systems required by various industry institutions and government organizations to control risks scientifically and effectively. With the development of the social economy, a large number of engineering cost information and management data have appeared in the investment field of construction projects in China. On the basis of large data, the whole process on the construction engineering construction stage and comprehensive dynamic monitoring system, and an analysis of deficiencies, this paper puts forward improvement measures and suggestions for reference, hoping to improve the level of enterprise of large database technology application so as to reduce the investment risk of the construction project, which is of great significance to promote the economic development of China. Discussion on Construction Project Cost Management and Control System Based on Big Data
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.