A Review Paper on Construction Site Monitoring and Predictive Analysis Using Artificial Intelligence

International Journal of Civil Engineering

© 2020 by SSRG - IJCE Journal

Volume 7 Issue 1

Year of Publication : 2020

Authors : Miss. Gayatri Bahire, S.M. Dhawade, S. Sabihuddin

10.14445/23488352/IJCE-V7I1P102

How to Cite?

Miss. Gayatri Bahire, S.M. Dhawade, S. Sabihuddin, "A Review Paper on Construction Site Monitoring and Predictive Analysis Using Artificial Intelligence," SSRG International Journal of Civil Engineering, vol. 7,  no. 1, pp. 5-10, 2020. Crossref, https://doi.org/10.14445/23488352/IJCE-V7I1P102

Abstract:

Project control and monitoring tools are based on expert judgments and parametric tools. Forecasting project performance is one of the most difficult tasks in predicting whether the project will be successful. The successful performance of a construction project cannot be achieved without challenges and obstacles. To meet these challenges and hit these obstacles, an organization must have a clear awareness of its performance. The project manager spends most of his time developing and updating reports instead of execution and taking in-time decisions to finish the work within the prescribed time scale. The development of an artificial neural network tool that will help the project manager in this task. Artificial neural networks (ANNs) would seem to offer a potentially powerful tool for estimating project control parameters from current project conditions. ANN's were found to learn from the relationships between input and output provided through training data and could generalize the output, making it suitable for non-linear problems where judgment, experience, and surrounding conditions are the key features.

Keywords:

Neural Network (ANN), MATLAB, Artificial intelligence, Project performance, Coefficient correlation, critical success factors.

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