Abstract
The implementation of IIoT allows users to use data and analytics for predictive analysis, reduced equipment downtime, centralized storage and remote asset monitoring. With the introduction of reasonable production information obtained from the devices must be processed that requires significant time and memory to store the accumulated information. This poses the task of minimizing processing time and file size for network transmission.
The main purpose of this work is improving the efficiency of information collection and processing in the industrial Internet of Things through the use of the modified method.
The method of serialization and deserialization of data on the basis of the Protobuf method is offered in the work, which allows to increase the efficiency of information processing by time indicators and to reduce the volume of transmitted information. In the process of work achieved an increase in processing speed information received from IIoT equipment through use serialization mechanism, and reduce the file size of the information that transmitted over the network.
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Globa, L., Kurdecha, V., Popenko, D., Bezvuhliak, M., Porolo, Y. (2022). Data Collection and Processing Method in the Networks of Industrial IOT. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-15101-9_11
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