Burden surface scanning via massive MIMO imaging radar in an ironmaking blast furnace

Christoph Feilmayr; Stefan Schuster; Leopold Stegfellner; Gerhard Lengauer; Bernd Lackner; Bernhard Lackner; Elmar Schuster; Dominik Zankl; Reinhard Feger; Andreas Stelzer; R. Winkel

Burden surface scanning via massive MIMO imaging radar in an ironmaking blast furnace

Christoph Feilmayr
, Stefan Schuster
, Leopold Stegfellner
, Gerhard Lengauer
, Bernd Lackner (Editor)
, Bernhard Lackner
, Elmar Schuster
, Dominik Zankl
, Reinhard Feger
, Andreas Stelzer
, R. Winkel

Department of RF-Systems

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

Abstract

In this work, a MIMO imaging radar operating in the frequency band around 77 GHz capable of gauging the full 3 dimensional burden surface in a blast furnace in real time with an update period less than one second is presented. After introducing the basic imaging principle, measurement results obtained at a pilot installation, during blast furnace relining, and during standard operation of an active blast furnace over a long period of roughly 3 years are shown and validate the excellent performance of the developed sensor. Finally, the possibility of improving the charging process both, offline and even in real time, by means of the radar data is discussed.

Original language	English
Title of host publication	Proc. 2nd METEC ESTAD Conference, 2015
Number of pages	4
Publication status	Published - 2015

Fields of science

202019 High frequency engineering
202029 Microwave engineering
202033 Radar technology
202 Electrical Engineering, Electronics, Information Engineering

JKU Focus areas

Mechatronics and Information Processing

Cite this

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title = "Burden surface scanning via massive MIMO imaging radar in an ironmaking blast furnace",

abstract = "In this work, a MIMO imaging radar operating in the frequency band around 77 GHz capable of gauging the full 3 dimensional burden surface in a blast furnace in real time with an update period less than one second is presented. After introducing the basic imaging principle, measurement results obtained at a pilot installation, during blast furnace relining, and during standard operation of an active blast furnace over a long period of roughly 3 years are shown and validate the excellent performance of the developed sensor. Finally, the possibility of improving the charging process both, offline and even in real time, by means of the radar data is discussed.",

author = "Christoph Feilmayr and Stefan Schuster and Leopold Stegfellner and Gerhard Lengauer and Bernd Lackner and Bernhard Lackner and Elmar Schuster and Dominik Zankl and Reinhard Feger and Andreas Stelzer and R. Winkel",

year = "2015",

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T1 - Burden surface scanning via massive MIMO imaging radar in an ironmaking blast furnace

AU - Feilmayr, Christoph

AU - Schuster, Stefan

AU - Stegfellner, Leopold

AU - Lengauer, Gerhard

AU - Lackner, Bernhard

AU - Schuster, Elmar

AU - Zankl, Dominik

AU - Feger, Reinhard

AU - Stelzer, Andreas

AU - Winkel, R.

A2 - Lackner, Bernd

PY - 2015

Y1 - 2015

N2 - In this work, a MIMO imaging radar operating in the frequency band around 77 GHz capable of gauging the full 3 dimensional burden surface in a blast furnace in real time with an update period less than one second is presented. After introducing the basic imaging principle, measurement results obtained at a pilot installation, during blast furnace relining, and during standard operation of an active blast furnace over a long period of roughly 3 years are shown and validate the excellent performance of the developed sensor. Finally, the possibility of improving the charging process both, offline and even in real time, by means of the radar data is discussed.

AB - In this work, a MIMO imaging radar operating in the frequency band around 77 GHz capable of gauging the full 3 dimensional burden surface in a blast furnace in real time with an update period less than one second is presented. After introducing the basic imaging principle, measurement results obtained at a pilot installation, during blast furnace relining, and during standard operation of an active blast furnace over a long period of roughly 3 years are shown and validate the excellent performance of the developed sensor. Finally, the possibility of improving the charging process both, offline and even in real time, by means of the radar data is discussed.

UR - http://www.metec-estad2015.com/papers2015final/P176.pdf

M3 - Conference proceedings

BT - Proc. 2nd METEC ESTAD Conference, 2015

ER -

Burden surface scanning via massive MIMO imaging radar in an ironmaking blast furnace

Abstract

Fields of science

JKU Focus areas

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Cite this