Data analytics in construction machinery: applications, challenges and future directions
Department of Computer Engineering, Purdue University, Indianapolis, Indiana, USA.
Research Article
World Journal of Advanced Research and Reviews, 2022, 13(03), 649-653
Publication history:
Received on 09 February 2022; revised on 22 March 2022; accepted on 28 March 2022
Abstract:
The integration of data analytics into construction machinery is transforming the construction industry by enhancing efficiency, safety, and decision-making. This paper explores the theoretical foundations, practical applications, and key challenges of data analytics in the context of construction equipment. It reviews methodologies for collecting and processing equipment data, discusses predictive maintenance, utilization optimization, and safety management, and highlights the barriers to widespread adoption. The paper concludes by outlining future research directions and the potential for data-driven innovation in construction machinery
Keywords:
Data Analytics; Predictive Analytics; Machine Learning; Telematics data; Equipment Industry
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Copyright information:
Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0