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Device Data Ingestion for Industrial Big Data Platforms with a Case Study.

Cun Ji¹, Qingshi Shao², Jiao Sun³

¹School of Computer Science & Technology, Shandong University, Jinan 250101, China. jicun@sdu.edu.cn.

Sensors (Basel, Switzerland)

|March 2, 2016

Summary

This summary is machine-generated.

This study introduces a new model for ingesting diverse Internet of Things data in Industry 4.0. The heterogeneous device data ingestion model efficiently processes large-scale industrial big data from multiple sources.

Keywords:

big data device data ingestion industrial internet of things internet of things

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Area of Science:

Computer Science
Data Engineering
Industrial IoT

Background:

The Industry 4.0 era relies heavily on the Internet of Things (IoT).
A key challenge is ingesting large-scale, heterogeneous, and multi-type device data.
Existing platforms struggle with diverse data streams from industrial environments.

Purpose of the Study:

To propose a novel heterogeneous device data ingestion model for industrial big data platforms.
To address the challenge of efficiently processing diverse IoT data.
To enhance the capabilities of industrial big data platforms.

Main Methods:

Development of a heterogeneous device data ingestion model.
Incorporation of device templates for data standardization.
Implementation of four key strategies: data synchronization, data slicing, data splitting, and data indexing.
Verification of the model on an industrial big data platform.

Main Results:

Successful ingestion of device data from multiple sources using the proposed model.
Demonstrated efficiency in handling heterogeneous and multi-type device data.
Validation of the model's effectiveness on a real-world industrial big data platform.

Conclusions:

The heterogeneous device data ingestion model effectively addresses the challenge of large-scale IoT data processing in Industry 4.0.
The model enhances industrial big data platforms by enabling efficient data ingestion from diverse sources.
The study provides a practical solution for industrial big data scenario analysis using device data.