Miller Magazine Issue: 123 March 2020

53 COVER STORY MILLER / MARCH 2020 ulating the production parameters. To achieve Artificial Intelligent Mills, Industry 4.0 has to be applied. Appling Industry 4.0 in the mill process and ma- chines included in the process carried out in three stages: 1. Creating a big digital data collection in a cloud plat- form by developing an advanced sensors technology. This data collection called industrial data repository or Enterprise Resource Planning (ERP) systems. 2. IoT (Internet of Things): Mill process machines have to be developed to have the ability for communication on the internet to automatic control systems. 3. A fully automated process that can completely be con- trolled from outside the mill with machine learning technol- ogies has an artificial ıntelligence algorithm trying to mimic, and eventually supersede human behavior and intelligence. ADVANCED HIGHLY SENSITIVE SENSOR TECHNOLOGY The first stage of an intelligent mill is establishing a big database by monitoring every point of milling process from raw materials to products and all operational status of ma- chines. For example, of what is already possible sensors which give accurate and real-time monitoring of raw ma- terials and products: • NIR analysis of raw and final products which gives pre- cise measurement of moisture, protein, ash, wet gluten, water absorption, and starch damage. • Online color and specks measurement unit which pro- vides real-time precise monitoring of color and classification of brown as well as black specs in semolina, starch content in bran. • Online particle size measurement gives online infor- mation about granulation, compares the measured actual Roll temperature sensor Roll bearing temperature sensor