Bridge engineering project cost evaluation intelligent management system based on big data and cloud computing

Abstract

The invention discloses a bridge engineering project cost evaluation intelligent management system based on big data and cloud computing, and the system comprises the steps: inputting a design drawing of a to-be-constructed bridge project into the system, constructing a building information model of the to-be-constructed bridge project, and obtaining basicdata of each bridge in the building information model; pre-arranging detecting points in each depth sub-region in the divided underwater soil region, detecting the soil compactness of each detecting point in each depth sub-region in the underwater soil region, calculating the average soil compactness of each depth sub-region in the underwater soil region, comparing and anlayzing the soil depth of the depth sub-region meeting the requirement, counting historical maximum data of a building area of the to-be-built bridge in recent years, calculating the actual occupied area of the bridge pier of the to-be-built bridge project, comprehensively calculating the comprehensive evaluation cost of the to-be-built bridge project, and displaying the comprehensive evaluation cost, so that the evaluation accuracy and reliability of the bridge project cost are improved.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps predict how well an aluminum or steel structure will perform over its lifetime without being replaced due to corrosion damage caused during use. It uses big data from different sources like sensors installed at various locations throughout the world's seabound areas to create models with specific properties such as strength, durability, etc., allowing researchers to make informed decisions about replacing parts before they are actually used again. By analyzing these characteristics, we aim to improve the efficiency and effectiveness of bridges across all types of environments.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving efficiency when evaluating costs associated with building constructions such as bridges or buildings during their lifetime. Current methodologies are subjective and prone to errors due to factors like human judgment and lacking objective criteria. Therefore there needs to be improved systems capable of providing accurate and reliable estimations over different environmental conditions while also being able to provide more precise estimates at lower risk levels compared to current approaches.

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