Automated Guided Vehicles (AGVs) are increasingly being employed in logistics to carry out tiring and repetitive tasks inside large industrial buildings. In these settings, AGVs perform more efficiently than human workers in that they exhibit no signs of fatigue, their movements can be tracked automatically and their path can be timed to feed/collect objects in a quasi-predictable time frame and to even perform some object manipulations/refinement during transportation. In this article, we present a simulation analysis assessing the feasibility of commodity WiFi for operations control in an autonomous production site. In this context, AGVs and infrastructure endpoints are involved in periodic data exchange, the later gathering and acting upon AGV health data in order to ensure the systems operations continuity. To this end, we have setup a realistic simulation scenario mimicking the sites' operational environment discussing some trade-offs that emerge.
Feasibility of Commodity WiFi for Operations Control in an Autonomous Production Site
2020-01-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
automatic guided vehicle , control engineering computing , logistic , mobile robot , production engineering computing , transportation , wireless LAN , periodic data exchange , AGV health data , commodity WiFi , operations control , autonomous production site , automated guided vehicle , industrial building , object manipulation , Industry 4.0 , Production , Wireless fidelity , Packet lo , IEEE 802.11 Standard , Quality of service , AGV , Fog Computing , Wireless Communication , Performance Evaluation
DDC: | 629 |
Autonomous Cryogenic Leak Detector for Improving Launch Site Operations
Online Contents | 2013