Project cost management system based on big data analysis

Abstract

The invention discloses a project cost management system based on big data analysis. The project cost management system comprises a region division module, a compactness detection module, a compactness analysis module, a detection point distribution module, an environmental parameter detection module, an environmental parameter analysis module, an analysis server, a parameter data acquisition module, a project cost evaluation module, a display terminal and a storage database. The method comprises steps of analyzing the average soil compactness of each depth sub-region in the underground regionof the water conservancy project dam to be constructed, comparing and screening the soil depths of the depth sub-regions meeting the requirements, and meanwhile, detecting each environmental parameter of each water body depth in each sub-region in the underground region; and calculating the comprehensive cost influence coefficient of the water conservancy project dam by combining the maximum windspeed and the maximum wind direction angle of the region in recent years, obtaining each planning parameter data of the water conservancy project dam to be constructed, and evaluating the comprehensive cost of the water conservancy project dam to be constructed, thereby improving the evaluation accuracy and rationality of the cost of the water conservancy project.

Description

technical field [0001] The invention relates to the field of engineering cost management, and relates to an engineering cost management system based on big data analysis. Background technique [0002] The evaluation and management of water conservancy project cost is the most important content in modern water conservancy construction management, which is directly related to the economic benefits of water conservancy project construction. How to realize the maximum economic benefits of water conservancy projects on the basis of ensuring project quality is a problem that the water conservancy project cost management center must pay attention to. [0003] At present, there are some problems that cannot be ignored in the existing water conservancy project dam cost management system. The existing water conservancy project dam cost method mainly evaluates the construction depth of the dam foundation through personnel analysis of a large amount of data, which not only increases the...

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Problems solved by technology

[0003] At present, there are some problems that cannot be ignored in the existing water conservancy project dam cost management system. The existing water conservancy project dam cost method mainly evaluates the construction depth of the dam foundation through personnel analysis of a large amount of data, which not only increases the evaluation workload, and it takes up a lot of people's working time and energy, and there are errors in the analysis data of the cost personnel, which leads to an increase in the construction cost of the dam, which affects the economic and social benefits of the water conservancy project. At the same time, the existing water conservancy project dam The cost management system cannot accurately consider the impact of environmental parameters, which leads to a decrease in the accuracy of water conservancy project cost assessment, thereby reducing the fairness and scientificity of cost level analysis, and affecting the rationality of water conservancy project cost. In order to solve the above problems, the design A project cost management system based on big data analysis

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