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A System of Multi-Sensor Fusion for Activity Monitoring of Industrial Trucks in Logistics Warehouses

[+] Author Affiliations
Cyril Alias, Çağdaş Özgür, Bernd Noche

University of Duisburg-Essen, Duisburg, Germany

Qingjin Yang

Dalian Qinteng Technology Co. Ltd., Dalian, China

Paper No. DETC2015-46169, pp. V01BT02A047; 10 pages
  • ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1B: 35th Computers and Information in Engineering Conference
  • Boston, Massachusetts, USA, August 2–5, 2015
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5705-2
  • Copyright © 2015 by ASME


Industrial trucks, such as forklifts, are key enablers of logistics performance in warehouses. Being critical resources of warehousing processes, their optimal utilization and the prevention of waste in relation to the use of forklifts are of ever increasing importance. Hence, real-time data about the activities of the trucks are required for both immediate reactions on an operational level and retrospective analyses for tactical adjustments.

In the ongoing research initiative, a technical solution concept has been developed and implemented which aims at collecting activity data of an industrial truck used in an indoor warehousing environment. For this reason, different sensors are used for monitoring individual functions of an industrial truck. The truck activities monitored by means of the sensors are its acceleration behavior, i.e. speed and vibration, as well as surrounding temperatures. In addition, the occupation status and the movement of the fork have been monitored and recorded. Thereby, logistics managers and analysts are facilitated to gain insight into the activity profile of the individual truck and the entire fleet, respectively, and to derive adequate measures of adjustment or even correction.

The paper illustrates details of the technical solution concept and presents a first set of experimentation results.

Copyright © 2015 by ASME



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