Software development for Industry 4.0 neuroprocessor industrial automation systems

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Romanchuk, V.A.^1

Ryazan State University Named for S. Yesenin, Svobody ave. 46, Ryazan

390000, Russia^1

关键词: Block diagrams;    Control task;    Identification problem;    Industrial automation system;    Multiprocessor computing systems;    Neuroprocessor;    Software platforms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/3/032044/pdf
DOI  :  10.1088/1757-899X/537/3/032044

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

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.