Software and hardware for integrated ACS of casting quality

The implementation of the "Automated system for the operational control of castings production (AS OCCP)" is the first stage and the basis of the integrated automated production control system. It performs three main tasks: control and accounting (the course of production, products, materi...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-05, Vol.866 (1), p.12034
Main Authors: Knyazev, S V, Usoltsev, A A, Skopich, D V, Sokolov, B M, Oznobikhina, N V
Format: Article
Language:English
Subjects:
Automatic control
Automation
Castings
Control systems
Data analysis
Hardware
Microprocessors
Optimization
Parallel processing
Process parameters
Production controls
Subsystems
Technology assessment
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Summary:The implementation of the "Automated system for the operational control of castings production (AS OCCP)" is the first stage and the basis of the integrated automated production control system. It performs three main tasks: control and accounting (the course of production, products, materials, etc.), improvement of the casting quality and the operational control of technological processes. The second stage is based on mathematical processing and analysis of data coming from AS OCCP, which allows the optimal ranges of parameters of technological processes - "Automated system for optimization and analysis of production progress (AS OAPP)" to be determined. AS OAPP consists of two subsystems: quality analysis (QAS) and technology Control (TCS). The first one solves the problems of data analysis and modeling, the second one - real-time calculation of optimal process parameters and forecasting. The tasks of the first and second stages compete for access to different hardware resources. The most critical parameter for the AS OCCP is the performance of the server disk arrays, for the AS OAPP is the processor performance. In both cases, the scaling of the system is effectively solved by parallelizing operations on different servers that make up the cluster, and on different processors (cores) on the same server.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/866/1/012034