An evolutionary sensor approach for self-organizing production chains

International Conference on Applied Sciences 2017

Mocan, M.^1 ; Gillich, E.V.^1 ; Mituletu, I.C.^2 ; Korka, Z.I.^2

Politehnica University of Timisoara, Department of Management, Remus Str., no. 14, Timisoara

300191, Romania^1

Eftimie Murgu University of Resita, Department of Mechanics and Materials Science, P-ta Traian Vuia 1-4, Resita

320085, Romania^2

关键词: Dynamic behaviors;    Human intervention;    Industrial equipment;    Manufacturing regime;    Optimal parameter;    Production chain;    Quality of production;    Simulated process;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/294/1/012092/pdf
DOI  :  10.1088/1757-899X/294/1/012092

来源: IOP

【 摘 要 】

Industry 4.0 is the actual great step in industrial progress. Convergence of industrial equipment with the power of advanced computing and analysis, low-cost sensing, and new connecting technologies are presumed to bring unexpected advancements in automation, flexibility, and efficiency. In this context, sensors ensure information regarding three essential areas: the number of processed elements, the quality of production and the condition of tools and equipment. To obtain this valuable information, the data resulted from a sensor has to be firstly processed and afterward used by the different stakeholders. If machines are linked together, this information can be employed to organize the production chain with few or without human intervention. We describe here the implementation of a sensor in a milling machine that is part of a simple production chain, capable of providing information regarding the number of manufactured pieces. It is used by the other machines in the production chain, in order to define the type and number of pieces to be manufactured by them and/or to set optimal parameters for their working regime. Secondly, the information achieved by monitoring the machine and manufactured piece dynamic behavior is used to evaluate the product quality. This information is used to warn about the need of maintenance, being transmitted to the specialized department. It is also transmitted to the central unit, in order to reorganize the production by involving other machines or by reconsidering the manufacturing regime of the existing machines. A special attention is drawn on analyzing and classifying the signals acquired via optical sensor from simulated processes.