Real-time Reactions for Automated Guided Vehicles (AGV)

Monitoring and controlling with long latencies

Dominik Augenstein
JournalIndustry 4.0 Science
Issue Volume 40, 2024, Edition 6, Pages 56-62
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Abstract

The digital twin and the increasing ability to control and monitor real-time systems create numerous advantages for companies. At the same time, the infrastructure in many companies is not suitable for such real-time applications. This might be due to a lack of broadband internet and a longer latency period. However, a simple mathematical model can provide a solution for the application in Automated Guided Vehicles (AGV). Utilizing machine learning algorithms, this model can also be employed for more complex optimizations, making real-time control of the transport systems feasible even with existing latency times.

Keywords

Article

The constant advance of digitalization confronts companies with new challenges and opportunities. Immediate data processing is now ubiquitous and the advantages are obvious. However, broadband coverage in Germany is insufficient, which makes it difficult to improve processes. Mathematical approaches and machine learning enable timely optimization and smooth production.

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Potentials: Innovation
Solutions: Logistics Process Management Safety

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