Automating the Short-Loading Cycle: Survey and Integration Framework

Author:

Borngrund Carl1ORCID,Bodin Ulf1ORCID,Andreasson Henrik2ORCID,Sandin Fredrik1ORCID

Affiliation:

1. Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 97187 Luleå, Sweden

2. School of Science and Technology, Örebro University, Fakultetsgatan 1, 70182 Örebro, Sweden

Abstract

The short-loading cycle is a construction task where a wheel loader scoops material from a nearby pile in order to move that material to the tipping body of a dump truck. The short-loading cycle is a vital task performed in high quantities and is often part of a more extensive never-ending process to move material for further refinement. This, together with the highly repetitive nature of the short-loading cycle, makes it a suitable candidate for automation. However, the short-loading cycle is a complex task where the mechanics of the wheel loader together with the interaction between the wheel loader and the environment needs to be considered. This must be achieved while maintaining some productivity goal and, concurrently, minimizing the used energy. The main objective of this work is to analyze the short-loading cycle, assess the current state of research in this field, and discuss the steps required to progress towards a minimal viable product consisting of individual automation solutions that can perform the short-loading cycle well enough to be used by early adopters. This is achieved through a comprehensive literature study and consequent analysis of the review results. From this analysis, the requirements of an MVP are defined and some gaps which are currently hindering the realization of the MVP are presented.

Funder

Sweden’s Innovation Agency

Publisher

MDPI AG

Reference59 articles.

1. Remote controlled short-cycle loading of bulk material in mining applications;Bodin;IFAC-PapersOnLine,2015

2. Frank, B., Skogh, L., Filla, R., Froberg, A., and Alaküla, M. (2012, January 16–19). On Increasing Fuel Efficiency by Operator Assistance Systems in a Wheel Loader. Proceedings of the International Conference on Advanced Vehicle Technologies and Integration (VTI), Changchun, China.

3. Volvo Construction Equipment (2024, May 23). Volvo LX03. Available online: https://www.volvoce.com/global/en/about-us/what-we-believe-in/innovation-at-our-core/concept-lab/lx03/.

4. Key challenges in automation of earth-moving machines;Dadhich;Autom. Constr.,2016

5. Filla, R. (2015, January 17–18). Evaluating the efficiency of wheel loader bucket designs and bucket filling strategies with non-coupled DEM simulations and simple performance indicators. Proceedings of the Fachtagung Baumaschinentechnik, Dresden, Germany.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3