| Autor: |
Guo De-hua, Wang Xu-xin, Zhang Xu-xu, Duan Xiao-feng |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2444-8656 |
| DOI: |
10.2478/amns-2024-2640 |
| Popis: |
In recent years, with advancements in machine control automation and intelligent systems, both domestic and international research has increasingly focused on the automation and semi-automation of excavator control. This study introduces an auxiliary control system for excavator fleets, which utilizes sensor and wireless communication technologies. The research investigates the excavation errors that arise when operators rely on personal vision and experience in complex working environments, as well as the challenges of managing large fleets of excavators. By assisting operators in controlling the excavators, the system significantly reduces the operator’s experience requirements and work intensity and provides higher precision, consistency, and efficiency for excavation equipment. This method not only further improves the operating efficiency and excavation accuracy, but also saves the overall construction cost and improves the sustainability of the project. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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