Author(s)

Judong Tao

Corresponding Author

Judong Tao

Abstract

This article focuses on the intelligent pre-alarm system of construction project cost risk under multi-source data fusion. This study uses multi-source data fusion technology to integrate engineering drawings, market prices, construction records and other multi-source data, and builds a risk pre-alarm model with the help of intelligent pre-alarm related technologies, such as support vector machine algorithm. Through the application verification in a 50,000-square-meter comprehensive commercial building project, the results show that the prediction accuracy of the pre-alarm system for design change risk is 89.29%, the prediction accuracy of material price rise risk is 86.96%, and the prediction accuracy of construction schedule delay risk is 88.89%. The effective rate of risk response suggestions is 88% in the risk of design change, 85% in the risk of material price increase and 87.5% in the risk of construction schedule delay. The research shows that the system is excellent in risk prediction and response suggestions, and has high practical value, which provides a new and effective way for risk management of construction project cost.

Keywords

Construction project cost, Multi-source data fusion, Intelligent pre-alarm system, Risk prediction, Coping suggestions