A Strategic Approach to Model the Machine-to-Machine Communication of Industrial IoT System for MQTT Protocol with a Case Study

Pawar, Shital; Patil, Suhas H.

doi:10.1007/978-981-19-2828-4_52

Cited by 1 publication

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Machine tools in advanced manufacturing environments are usually equipped with a Programmable Logic Controller (PLC), an embedded computer responsible for managing automation logic and data handling, among others. The demand for connectivity of these PLCs has been increasing to meet the current industry requirements [ 4 ], through the use of available ICPs. These protocols enable connectivity between machines, equipment, and systems as part of an industrial network, providing comprehensive visibility and control over activities carried out in the production area.…”

Section: Introductionmentioning

confidence: 99%

Assessing Industrial Communication Protocols to Bridge the Gap between Machine Tools and Software Monitoring

Tapia

Pinilla

Lopez-Novoa

et al. 2023

Sensors

View full text Add to dashboard Cite

Industrial communication protocols are protocols used to interconnect systems, interfaces, and machines in industrial environments. With the advent of hyper-connected factories, the role of these protocols is gaining relevance, as they enable the real-time acquisition of machine monitoring data, which can fuel real-time data analysis platforms that conduct tasks such as predictive maintenance. However, the effectiveness of these protocols is largely unknown and there is a lack of empirical evaluation which compares their performance. In this work, we evaluate OPC-UA, Modbus, and Ethernet/IP with three machine tools to assess their performance and their complexity of use from a software perspective. Our results show that Modbus provides the best latency figures and communication has different complexities depending on the used protocol, from the software perspective.

show abstract

Section: Introductionmentioning

confidence: 99%