
IDENTIFICATION OF ESSENTIAL REQUIREMENTS OF IOT AND BIG DATA ANALYTICS TO EXTEND CERAMIC MANUFACTURING
Author(s) -
Vinodini Katiyar Md. Faisal*
Publication year - 2016
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.222204
Subject(s) - identification (biology) , analytics , big data , data science , computer science , internet of things , data analysis , data mining , computer security , botany , biology
In this article transformation of ceramic manufacturing factory into a smart ceramic manufacturing has been discussed. Based the unknown industrial visit and observation finding has been mapped with the proven generic smart manufacturing framework where the focus is to identify the types of sensors which need to be connected with the components of the machine real time monitoring and get the insights by utilizing these data through the big data analytics. To transform a old heavy industry In IoT based smart manufacturing, it’s not needed to do everything from scratch and setup a new manufacturing plant, research efforts makes it flexible to just add the smart sensors, collect the data, use real time streaming analytics by available big data analytics technologies such Apache Spark streaming, Spark core,, Spark MLlib , Kafka, Flume can be used for preventive maintenance and real time analysis. Available operational technologies, business objective, sequential essential steps to implement IoT in ceramic processing, major steps IoT based big data analytics, Smart manufacturing generic framework has been mapped with existing ceramic industry