Engineering project construction completion period multivariate evaluation method based on cloud computing and big data analysis and cloud platform

Abstract

The invention discloses an engineering project construction completion period multivariate evaluation method based on cloud computing and big data analysis and a cloud platform, and the method comprises the steps of calculating the comprehensive construction period influence coefficient of the mean weather in recent years of an engineering project construction region through obtaining the duration from the recent years of the engineering project construction region to each weather type in each month at present; evaluating the estimated period of engineering project construction affected by average weather, acquiring longitude and latitude of an engineering project construction area, screening geographical climate corresponding to the construction area, and counting the duration of each weather type in each month in recent years from other areas with the same climate; and meanwhile, calculating comprehensive construction period influence coefficients of average weather in recent years in other regions with the same climate, screening comprehensive construction period influence coefficients of maximum and minimum average weather, evaluating estimated periods of engineering project construction influenced by the maximum and minimum weather, and displaying the estimated periods. Therefore, the engineering project is ensured to be completed in the planning period.

Description

technical field [0001] The invention relates to the technical field of construction period assessment, and relates to a multi-assessment method and cloud platform for construction completion period of engineering projects based on cloud computing and big data analysis. Background technique [0002] The construction period of large-scale engineering projects is long, the construction environment is complex, and the construction period control is obviously disturbed by weather factors. If there is insufficient understanding of weather disturbances or no scientific evaluation methods, the construction period of the project will be delayed, and eventually the planned goal will not be achieved. Therefore, the construction completion cycle assessment is an important link in project management. [0003] At present, the existing evaluation methods for the construction completion period of engineering projects are not comprehensive enough. The construction period is only evaluated ac...

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Problems solved by technology

[0002] The construction period of large-scale engineering projects is long, the construction environment is complex, and the construction period control is obviously disturbed by weather factors. If there is insufficient understanding of weather disturbances or no scientific evaluation methods, the construction period of the project will be delayed, and eventually the planned goal will not be achieved. Therefore, the evaluation of construction completion cycle is an important link in project management.

[0003] At present, the existing evaluation methods for the construction completion period of engineering projects are not comprehensive enough. The construction period is only evaluated according to the weather conditions in the construction area of ​​the project last year. There are too many unforeseen events, which reduces the accuracy of the evaluation of the construction period. The construction completion period of the project is delayed or the construction cost is increased, resulting in various unnecessary losses. At the same time, the existing evaluation method of the construction completion period of the project cannot combine multiple data to evaluate the fluctuation period of the construction, so that it cannot guarantee that the project will be completed within the planned period. , so that the engineering project is seriously affected in terms of manpower and material resources, and even affects the quality and safety of the engineering project, resulting in a reduction in the investment benefit of the engineering project. In order to solve the above problems, the construction completion cycle of the engineering project based on cloud computing and big data analysis is now designed Multiple evaluation methods and cloud platform

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