Foundation pit risk management method based on big data analysis and foundation pit risk management system based on big data analysis

Abstract

The invention provides a foundation pit risk management method based on big data analysis and a foundation pit risk management system based on big data analysis. The foundation pit risk management method comprises following steps: step1, establishment of a foundation pit risk management system hardware platform; step2, acquisition of foundation pit risk related information; step 3, dynamic acquisition of foundation pit deformation data; step 4, analysis, comparison, calculation of related data information; step 5, the display of the acquired foundation pit risk related information by adopting visualization means; step6, timely transmission of effective information to information demanders by adopting an Internet way; step7, recording of risk treatment means and treatment results proposed by the information demanders. By adopting an informatization way, the foundation pit risk related information is acquired, the storage, the extraction, the arrangement, and the analysis of the above mentioned information are facilitated; foundation pit data is timely updated; by adopting the constant accumulation and analysis of the foundation pit risk related information, a foundation pit risk theory is in dynamic adjustment, and therefore the risk management is more accurate and effective; the transmission efficiency and the transmission accuracy of the information are improved, and risk prevention early warning is provided.

Description

technical field [0001] The present invention relates to the technical field of engineering informatization, in particular to a foundation pit risk management method and system based on big data analysis. Background technique [0002] Entering 2012, the term big data (big data) is mentioned more and more, and people use it to describe and define the massive data generated in the era of information explosion. As of 2012, the amount of data has jumped from TB (1024GB=1TB) level to PB (1024TB=1PB), EB (1024PB=1EB) and even ZB (1024EB=1ZB) level. The research results of the International Data Corporation (IDC) show that the amount of data generated globally in 2008 was 0.49ZB, the amount of data in 2009 was 0.8ZB, the amount of data in 2010 increased to 1.2ZB, and the amount of data in 2011 was as high as 1.82ZB, which is quite Each person in the world generates more than 200GB of data. [0003] There have been many successful cases of big data analysis in the consumer field, b...

AI Technical Summary

Problems solved by technology

[0008] 1) The influence of objective environmental factors on the deformation of the foundation pit is not considered, and only the active construction parameters collected during the construction process are used to evaluate the risk of the foundation pit;

[0009] 2) The method of evaluation is not extensive, only for a single project;

[0010] 3) There is no learning ability, and it is impossible to quickly provide advice and consultation, and professionals are still required to provide professional advice

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