Journal of Applied Science and Engineering

Published by Tamkang University Press

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Research on Remote Control System of Excavator Based on Cloud Platform

 2025

 Volume 28, Issue 8

Ran Liu, Zhiguang Guan, Zhenyuan Zhao, and Qin Sun

School of Construction Machinery, Shandong Jiaotong University, Jinan 250023, China

Received: June 23, 2024
Accepted: September 1, 2024
Publication Date: April 6, 2026

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Attitude Cartesian coordinate system.

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Excavators are increasingly used across various industries, especially in dangerous environments such as mines, earthquake relief sites, and more. In these hazardous settings, the personal safety of excavator operators cannot be fully guaranteed. However, the implementation of remote control for excavators can effectively mitigate the risks associated with human operation on-site, thereby enhancing workers’ safety and operational efficiency. The excavator remote control system presented in this paper offers significant improvements compared to traditional excavator control systems, including (1) the realization of unlimited-distance remote control through the intervention of an IoT cloud server and (2) the accomplishment of semi-automatic and autonomous excavator operation via a binocular vision system. Experimental results demonstrate that the cloud-based excavator control system achieves remote control with low latency and high reliability, enabling functions such as walking, steering, and the extension of boom, stick, and bucket.

Keywords: Excavator; Remote operation; Cloud platform; Binocular positioning

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