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Remote monitoring of industrial drives with NB-IoT technology
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Sähkötekniikan korkeakoulu |
Master's thesis
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ELEC3029
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en
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77+7
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Abstract
The industrial process monitoring is an important issue, which has many applications. It allows to prevent failures of industrial equipment and to reduce maintenance costs. Monitoring processes are easy to deploy by using wireless technologies and such a deployment can result in lower costs. In this work, the application of the NB-IoT technology for industrial drive monitoring is analysed.
ABB company, as a customer for this study, is interested in NB-IoT transmission of industrial drive data. In the context of this work, a literature search and a survey of NB-IoT chipset producers has been done to collect manufacture forecasts. At second, a test set NETA-21 ARF has been developed to measure the performance of Agile Radio Framework (ARF) for the industrial drive data transmission. Third, a demo set with an industrial drive has been built to validate the usage of ARF for industrial drive monitoring. Finally, the possible use cases of the NB-IoT technology for industrial process monitoring were illustrated.
The results of this work show that the NB-IoT technology can be used for the industrial drive monitoring. The survey of NB-IoT chipset producers discovered that the NB-IoT modules will be available in the turn of 2017 - in 2018 year. However, the current established price of the NB-IoT module is lower than the actual price expected by producers. The price range, which was specified by the chipset producers, is 7-10 $ while the established price of the module is 5 $.
The ARF sends data with a transmission time of approximately 200 ms for a low and approximately 1.2 s for a high repetition factor.
The ABB demo set performs the transmission of industrial drive data with the NB-IoT technology. The set allows to remotely observe condition of the drive.
The use cases of NB-IoT technology for industrial process monitoring cover scenarios of dense production monitoring as well as distributed and mobile production monitoring.