title: Device Data Ingestion for Industrial Big Data Platforms with a Case Study.
abstract: Despite having played a significant role in the Industry 4.0 era, the Internet of Things is currently faced with the challenge of how to ingest large-scale heterogeneous and multi-type device data. In response to this problem we present a heterogeneous device data ingestion model for an industrial big data platform. The model includes device templates and four strategies for data synchronization, data slicing, data splitting and data indexing, respectively. We can ingest device data from multiple sources with this heterogeneous device data ingestion model, which has been verified on our industrial big data platform. In addition, we present a case study on device data-based scenario analysis of industrial big data.
authors.affiliation: School of Computer Science &amp; Technology, Shandong University, Jinan 250101, China. jicun@sdu.edu.cn.
authors.forename: Cun
authors.initials: C
authors.lastname: Ji
authors.affiliation: School of Computer Science &amp; Technology, Shandong University, Jinan 250101, China. sdusqs@163.com.
authors.forename: Qingshi
authors.initials: Q
authors.lastname: Shao
authors.affiliation: School of Computer Science &amp; Technology, Shandong University, Jinan 250101, China. jiaosun_baby@163.com.
authors.forename: Jiao
authors.initials: J
authors.lastname: Sun
authors.affiliation: School of Computer Science &amp; Technology, Shandong University, Jinan 250101, China. lsj@sdu.edu.cn.|Engineering Research Center of Digital Media Technology, Shandong University, Jinan 250101, China. lsj@sdu.edu.cn.
authors.forename: Shijun
authors.initials: S
authors.lastname: Liu
authors.affiliation: School of Computer Science &amp; Technology, Shandong University, Jinan 250101, China. panli@sdu.edu.cn.|Engineering Research Center of Digital Media Technology, Shandong University, Jinan 250101, China. panli@sdu.edu.cn.
authors.forename: Li
authors.initials: L
authors.lastname: Pan
authors.affiliation: School of Computer Science &amp; Technology, Shandong University, Jinan 250101, China. i_lily@sdu.edu.cn.|Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, North China University of Technology, Beijing 100144, China. i_lily@sdu.edu.cn.
authors.forename: Lei
authors.initials: L
authors.lastname: Wu
authors.affiliation: School of Computer Science &amp; Technology, Shandong University, Jinan 250101, China. chl_yang@sdu.edu.cn.|Engineering Research Center of Digital Media Technology, Shandong University, Jinan 250101, China. chl_yang@sdu.edu.cn.
authors.forename: Chenglei
authors.initials: C
authors.lastname: Yang
keywords: big data; device data ingestion; industrial internet of things; internet of things