Industrial big data risk analysis method based on EPCM

Abstract

The invention discloses an industrial big data risk analysis method based on EPCM, belongs to the technical field of EPCM application, and solves the problems that a data processing mode is too single, multiple kinds of big data are not extracted and removed, meanwhile, the removed data are analyzed and processed, data in multiple aspects are started, a risk assessment value is obtained through calculation, the risk assessment value is large in deviation due to a single data processing mode, so that the effect of avoiding the risk cannot be achieved. Three different modes are adopted in advance to filter numerical values, then the filtered numerical values are extracted, and a formula is adopted to carry out risk assessment analysis on the extracted numerical values, so that the risk assessment value is obtained; and then the risk assessment value is compared with the set threshold module, and the data is screened in advance, so that the obtained risk assessment value is more accurate, and the situation that the cost is too high due to large data deviation is avoided.

Description

technical field [0001] The invention relates to a risk analysis method, specifically an EPCM-based industrial big data risk analysis method, and belongs to the technical field of EPCM applications. Background technique [0002] EPCM mode, that is, design procurement and construction management means that the management party is fully responsible for the design and procurement of engineering projects, and is also responsible for the management of the construction phase. This is a project delivery mode that is currently common in the international construction industry. Other aspects of the project also need to be managed, such as: schedule of design, procurement and construction phases, communication with relevant departments, preparation of cost plans, cost estimates and document control, etc. [0003] The invention of patent publication number CN106127380A relates to a big data risk analysis method. The present invention combines big data, uses machine learning algorithm m...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an EPCM-based industrial big data risk analysis method, which solves the problem that the data processing method is too single, does not extract a variety of big data and eliminates them, and analyzes and processes the eliminated data at the same time. To start with, so as to calculate the risk assessment value, a single data processing method often leads to a large deviation of the risk assessment value, so that the effect of avoiding risks cannot be achieved

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