A Framework and Cyber-Physical System Architecture for Cloud-Based Construction Monitoring with Autonomous Quadrupeds

摘要

A Framework and Cyber-Physical System Architecture for Cloud-Based Construction Monitoring with Autonomous Quadrupeds Aras Maqsoodi, Javier Irizarry Pages 243-250 (2024 Proceedings of the 41st ISARC, Lille, France, ISBN 978-0-6458322-1-1, ISSN 2413-5844) Abstract: Construction progress monitoring is a crucial aspect of project management, ensuring project completion on time, within budget, and meeting quality standards. Current data collection and processing methods are time-consuming and labor-intensive, and modern technologies, including robots and computer vision, offer a potential solution to this challenge. While past research has improved data collection and processing independently, a significant manual effort is still required to classify and transform collected data for processing. This research introduces the foundation of a novel framework to bridge this gap, leveraging an autonomous four-legged robot using the Software Development Kit (SDK) and the Robot Operation System (ROS). Additionally, Simultaneous Localization and Mapping (SLAM) for navigating, and cloud computing platforms for data processing, are employed to establish a repository for raw data from images captured by the robot, facilitating simultaneous processing stages. The research proposes a cloud-based machine-learning service that hosts a deep-learning algorithm for material identification and quantification. The objective of the proposed framework and system architecture is to capture images of the indoor environment of construction projects, classify and process data to create quantified material lists, and compare them to the full material list on the cloud, construction schedules can potentially be updated in real-time. Keywords: Computer Vision, Cloud-Based Construction Monitoring, Autonomous Quadruped, Workflow, Cyber-Physical System Architecture DOI: https://doi.org/10.22260/ISARC2024/0033 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley