Unified management and control of heterogeneous water quality measuring devices via edge computing nodes

Fangling Pu; Zhaozhuo Xu; Xin Xu

doi:10.1109/ICSENS.2017.8234159

Unified management and control of heterogeneous water quality measuring devices via edge computing nodes

Fangling Pu, Zhaozhuo Xu, Xin Xu

Department of Computer Science

Wuhan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

To integrate different types of devices around Erhai, China, a three layer architecture is introduced. Edge computing nodes are inserted between the server system and the end devices. A metadata model is proposed to unify the representation of devices, measurement and the interactive message between the web services and devices. The edge nodes firstly function as translator between the web services and the end devices. Moreover, smart control functions, such as device starting safety and abnormality detection, are added. One year running demonstrates that the architecture is scalable and relative easy for the new devices to join it.

Original language	English
Title of host publication	IEEE SENSORS 2017 - Conference Proceedings
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781509010127
DOIs	https://doi.org/10.1109/ICSENS.2017.8234159
State	Published - 21 Dec 2017
Event	16th IEEE SENSORS Conference, ICSENS 2017 - Glasgow, United Kingdom Duration: 30 Oct 2017 → 1 Nov 2017

Publication series

Name	Proceedings of IEEE Sensors
Volume	2017-December
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	16th IEEE SENSORS Conference, ICSENS 2017
Country/Territory	United Kingdom
City	Glasgow
Period	30/10/17 → 1/11/17

Keywords

abnormality
edge computing
metadata
water quality measuring device

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10.1109/ICSENS.2017.8234159

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title = "Unified management and control of heterogeneous water quality measuring devices via edge computing nodes",

abstract = "To integrate different types of devices around Erhai, China, a three layer architecture is introduced. Edge computing nodes are inserted between the server system and the end devices. A metadata model is proposed to unify the representation of devices, measurement and the interactive message between the web services and devices. The edge nodes firstly function as translator between the web services and the end devices. Moreover, smart control functions, such as device starting safety and abnormality detection, are added. One year running demonstrates that the architecture is scalable and relative easy for the new devices to join it.",

keywords = "abnormality, edge computing, metadata, water quality measuring device",

author = "Fangling Pu and Zhaozhuo Xu and Xin Xu",

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year = "2017",

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day = "21",

doi = "10.1109/ICSENS.2017.8234159",

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Y1 - 2017/12/21

N2 - To integrate different types of devices around Erhai, China, a three layer architecture is introduced. Edge computing nodes are inserted between the server system and the end devices. A metadata model is proposed to unify the representation of devices, measurement and the interactive message between the web services and devices. The edge nodes firstly function as translator between the web services and the end devices. Moreover, smart control functions, such as device starting safety and abnormality detection, are added. One year running demonstrates that the architecture is scalable and relative easy for the new devices to join it.

AB - To integrate different types of devices around Erhai, China, a three layer architecture is introduced. Edge computing nodes are inserted between the server system and the end devices. A metadata model is proposed to unify the representation of devices, measurement and the interactive message between the web services and devices. The edge nodes firstly function as translator between the web services and the end devices. Moreover, smart control functions, such as device starting safety and abnormality detection, are added. One year running demonstrates that the architecture is scalable and relative easy for the new devices to join it.

KW - abnormality

KW - edge computing

KW - metadata

KW - water quality measuring device

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DO - 10.1109/ICSENS.2017.8234159

M3 - Conference contribution

AN - SCOPUS:85044265917

T3 - Proceedings of IEEE Sensors

SP - 1

EP - 3

BT - IEEE SENSORS 2017 - Conference Proceedings

T2 - 16th IEEE SENSORS Conference, ICSENS 2017

Y2 - 30 October 2017 through 1 November 2017

ER -

Unified management and control of heterogeneous water quality measuring devices via edge computing nodes

Abstract

Publication series

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Keywords

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