MONITORING OF PRODUCTION LINE SUPPLY SYSTEMS WITH DRONES

23rd International Conference on Manufacturing

Mészáros, B.^1 ; Bóna, K.^1 ; Bertalan, M.^1

Department of Material Handling and Logistics Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Muegyetem rkp. 3, Budapest

1111, Hungary^1

关键词: Indoor localization;    Logistics company;    Manufacturing process;    Moment analysis;    Observation and measurement;    Physical environments;    Production line;    Real-time closed loops;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/448/1/012037/pdf
DOI  :  10.1088/1757-899X/448/1/012037

来源: IOP

【 摘 要 】

There is extensive literature about drones in a logistics context, and numerous applications have been implemented, but there is one unique use case that hasn't gotten momentum so far, yet offers significant potential. Our paper focuses on this opportunity, which is deploying drones to support the monitoring of intralogistical processes, i.e. Multi Moment Analysis (MMA). This way the observation and measurement of manufacturing processes could be automated to a large extent, making it faster, more reliable and cheaper, therefore offering benefits to both the logistics company performing the MMA and the customer. Our paper describes the architecture of a system needed to perform MMAs using drones, focusing on two key components: the indoor localization sub-system and a real-time closed-loop control algorithm, that enables the drone to track the monitored object. In order to test our algorithm, we built a simulator in MS Excel, where a drone is tracking an object moving along a straight line and a curve. The results of our experiments indicate that the drone was able to stay well within 1 meter of the object, despite the introduced uncertainty in their motion, therefore our algorithm appears to be validated and ready to be tested in a physical environment.