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Field Setup and Assessment of a Cloud-Data Based Crane Scale (CCS) Considering Weight-and Local Green Wood Density-Related Volume References

Starke, Michael; Geiger, Chris

Abstract:

When investigating the forwarding process within the timber supply chain, insufficient data often inhibits long-term studies or make real-time optimisation of the logistics process difficult. Information sources to compensate for this lack of data either depend on other processing steps or they need additional, costly hardware, such as conventional crane scales. An innovative weight-detection concept using information provided by a commonly available hydraulic pressure sensor may make the introduction of a low-cost weight information system possible. In this system, load weight is estimated by an artificial neural network (ANN) based on machine data such as the hydraulic pressure of the inner boom cylinder and the grapple position.

In our study, this type of crane scale was set up and tested under real working conditions, implemented as a cloud application. The weight scale ANN algorithm was therefore modified for robustness and executed on data collected with a commonly available telematics module. To evaluate the system, also with regard to larger sample sizes, both direct weight-reference measurements and additional volume-reference measurements were made. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000141874
Veröffentlicht am 16.01.2022
Originalveröffentlichung
DOI: 10.5552/crojfe.2022.1186
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1845-5719, 1848-9672
KITopen-ID: 1000141874
Erschienen in Croatian Journal of Forest Engineering
Verlag University of Zagreb, Faculty of Forestry
Band 43
Heft 1
Seiten 29-45
Schlagwörter crane scale, forwarder, cloud data, fleet management, timber logistics, artificial neural networks, green density, wood density
Nachgewiesen in Dimensions
Scopus
Web of Science
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