Machine Learning
Development of AI-based Project Delay Risk Preview System
Objective
In the construction industry, the construction process is managed based on the completed construction in comparison to the planned construction. With the current construction management system, it is difficult to respond to construction delays in advance, because the construction process rate cannot be estimated quantitatively.
Data
Time Series Construction Data, Weather Forecast Data, Construction Budget Data, Extra-Budgetary Report Data, Subcontractor Data
Related Work
Similarity search and performance prediction of shield tunnels in operation through time series data mining (H.Zhu et al, Automation in Construction, 2020)
Proposed Method
In this paper, we developed an AI-based warning system that proactively predicts the delay in construction based on the completed construction of the past and additional data such as budget, subcontractor, and weather data.
