Abstract
The paper discusses the issues and problems of applying multiprocessor computing systems in Industry 4.0 industrial automation systems. The examples of tasks that are effectively solved with their help are shown: control and diagnostics tasks, rolling production tasks, sign identification problems. The developed software is considered in the form of the NP Studio software platform for the development, operation and optimization of industrial automation systems. The block diagram of the software platform and the functionality of each of the subsystems are described. An example of using the neuroprocessor system for the implementation of the hexapod control task is shown.
Cite
CITATION STYLE
Romanchuk, V. A. (2019). Software development for Industry 4.0 neuroprocessor industrial automation systems. In IOP Conference Series: Materials Science and Engineering (Vol. 537). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/537/3/032044
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