Experts system based on the neural network and mobile database in the field galvanic metal coating

Abstract

© 2018 Published by Faculty of Engineering. In a modern era of information technologies, everyday changes are more numerous and various. One of those changes is related to the greater use of mobile devices in a decision making processes. They may be used in the field of automation and improvement of production processes. Their main purpose may be seen as the achievement of optimal production quality, lower production costs, timely deliveries, rational management of material and information flows. Having this in mind, it may be said that interactive data processing from different data sources and the application of artificial intelligence methods is possible within the field of metal coating data processing and prediction. In this paper, novel developed model and expert system, which consists of mobile databases and neural network for the prediction of quality of coating has been presented. Input data obtained from the databases are related to the starting conditions of deposition and the quality of the given coating material, while the target data are related to the thickness and roughness of the material surfaces. Application of the presented solution may confirm the possibility of integration of mobile databases and neural networks within a mobile expert system in the field of modern production systems.