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License: CC BY
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Identification Of Essential Requirements Of Iot And Big Data Analytics To Extend Ceramic Manufacturing

Authors: Md. Faisal*, Dr. Vinodini Katiyar;

Identification Of Essential Requirements Of Iot And Big Data Analytics To Extend Ceramic Manufacturing

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 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.

Keywords

Smart Manufacturing, Big data analytics, Ceramic process,Apache Spark, Spark core, Spark streaming, Spark MLlib , Flume , Kafka

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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