Modelling the Diagnosis of Industry Internet of Things

We consider necessary to discuss on a scientific article about the diagnosis of Internet of Things (IoT) for industry applications, e.g. controlled flexible manufacturing systems (FMS). In order to analyse and diagnose the main characteristics of these systems we focus on models realized with Markov...

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Bibliographic Details
Published inSmart Cities, Green Technologies, and Intelligent Transport Systems pp. 125 - 134
Main Authors Ciufudean, Calin, Buzduga, Corneliu
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
Discrete event models
Flexible manufacturing systems
Internet of Things
Markov chains
Memory buffers
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Summary:We consider necessary to discuss on a scientific article about the diagnosis of Internet of Things (IoT) for industry applications, e.g. controlled flexible manufacturing systems (FMS). In order to analyse and diagnose the main characteristics of these systems we focus on models realized with Markov chains of FMS with stochastic and not equal throughput rates. Discrete-event models assume that FMS is decomposed, and we study the following events: an Internet server fails, an Internet server is repaired, an Internet server memory buffer fills up, an Internet server memory buffer empties. The IoT diagnosis is performed with by calculating the time to absorption in Markov model of the IoT controlled FMS. Future developments of IoT diagnosis of FMS are also discussed in this work.
ISBN:3319637118
9783319637112
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-319-63712-9_7