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IDENTIFICATION OF ESSENTIAL REQUIREMENTS OF IOT AND BIG DATA ANALYTICS TO EXTEND CERAMIC MANUFACTURING

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 12)

Publication Date:

Authors : ; ;

Page : 919-923

Keywords : Smart Manufacturing; Big data analytics; Ceramic process; Apache Spark; Spark core; Spark streaming; Spark MLlib; Flume; Kafka .;

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Abstract

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 f ocus 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 ma nufacturing, 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 technologi es 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 processi ng, major steps IoT based big data analytics, Smart manufacturing generic framework has been mapped with existing ceramic industry.

Last modified: 2016-12-31 20:34:51