Data Acquisition in Cast Iron Foundries by Image Analysis

摘要

The project IDA - Intelligent Data Acquisition is an interdisciplinary project in the fields of applied informatics and mechanical engineering. Its purpose is to collect process relevant information in industrial foundry processes like iron casting with handmade and mechanically made molds. Currently a lot of data sets are collected by hand. But these contain inaccuracies and errors and are not available digitally for further analysis. As a result it is not possible to evaluate them automatically. In particular it is not possible to conclude from a defect cast part to the whole set of its production parameters. We develop several procedures to collect these data sets and prepare them for computation in data analysis algorithms. The acquisition of digitally available data in IDA is done mostly by optical sensors. In this paper we describe our approach especially regarding marking and recognition of relevant objects. Furthermore we show first results in environments close to reality.