Details
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 |
| Publisher | IEEE Computer Society |
| Pages | 784-788 |
| Number of pages | 5 |
| ISBN (electronic) | 9781538609484 |
| Publication status | Published - 2 Jul 2017 |
| Event | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore Duration: 10 Dec 2017 → 13 Dec 2017 |
Publication series
| Name | IEEE International Conference on Industrial Engineering and Engineering Management |
|---|---|
| Volume | 2017-December |
| ISSN (Print) | 2157-3611 |
| ISSN (electronic) | 2157-362X |
Abstract
The melting process in an aluminum melting furnace cannot be monitored by contact sensors, since the furnace is not accessible due to the high temperatures (more than 700 °C). Therefore, monitoring the melting process by means of optical sensors is investigated for the first time in this research project. This article deals with an innovative optical measuring system that is able to monitor the melting bridge despite the red-hot furnace walls. For this purpose, a light-field camera is installed on top an aluminum melting furnace in order to monitor the process and to control a targeted heat input into the melting furnace using a rotatable burner. The light-field camera used can capture a 3D point cloud with only one image. To achieve this, a separate field of lenses is placed between the image sensor and the main lens, projecting a virtual intermediate image onto the actual image sensor for further data processing. In addition, a self-developed image analysis program serves to monitor the height variation of the aluminum block and any melting rest on the melting bridge of the furnace [1]. Thus, the energy efficiency of the aluminum melting process could be increased by 15 % and the melting time reduced by almost 20 minutes by means of online monitoring.
Keywords
- Energy Efficiency, Image Processing, Light-Field Camera, Melting Process, Process Monitoring
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business, Management and Accounting (miscellaneous)
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
Sustainable Development Goals
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2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society, 2017. p. 784-788 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Monitoring of an Aluminum Melting Furnace by Means of a 3D Light-Field Camera
AU - Mohammadifard, S.
AU - Langner, J.
AU - Stonis, M.
AU - Semrau, H.
AU - Sauke, S. O.
AU - Harchegani, H. Larki
AU - Behrens, B. A.
N1 - Funding information: Sponsored by the German Federal Ministry of Economics and Energy on the basis of a decision of the German Federal Parliament (Project name: Edusal II, sponsor number: 03ET1056 B). The responsibility for the contents of this publication lies with the author.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The melting process in an aluminum melting furnace cannot be monitored by contact sensors, since the furnace is not accessible due to the high temperatures (more than 700 °C). Therefore, monitoring the melting process by means of optical sensors is investigated for the first time in this research project. This article deals with an innovative optical measuring system that is able to monitor the melting bridge despite the red-hot furnace walls. For this purpose, a light-field camera is installed on top an aluminum melting furnace in order to monitor the process and to control a targeted heat input into the melting furnace using a rotatable burner. The light-field camera used can capture a 3D point cloud with only one image. To achieve this, a separate field of lenses is placed between the image sensor and the main lens, projecting a virtual intermediate image onto the actual image sensor for further data processing. In addition, a self-developed image analysis program serves to monitor the height variation of the aluminum block and any melting rest on the melting bridge of the furnace [1]. Thus, the energy efficiency of the aluminum melting process could be increased by 15 % and the melting time reduced by almost 20 minutes by means of online monitoring.
AB - The melting process in an aluminum melting furnace cannot be monitored by contact sensors, since the furnace is not accessible due to the high temperatures (more than 700 °C). Therefore, monitoring the melting process by means of optical sensors is investigated for the first time in this research project. This article deals with an innovative optical measuring system that is able to monitor the melting bridge despite the red-hot furnace walls. For this purpose, a light-field camera is installed on top an aluminum melting furnace in order to monitor the process and to control a targeted heat input into the melting furnace using a rotatable burner. The light-field camera used can capture a 3D point cloud with only one image. To achieve this, a separate field of lenses is placed between the image sensor and the main lens, projecting a virtual intermediate image onto the actual image sensor for further data processing. In addition, a self-developed image analysis program serves to monitor the height variation of the aluminum block and any melting rest on the melting bridge of the furnace [1]. Thus, the energy efficiency of the aluminum melting process could be increased by 15 % and the melting time reduced by almost 20 minutes by means of online monitoring.
KW - Energy Efficiency
KW - Image Processing
KW - Light-Field Camera
KW - Melting Process
KW - Process Monitoring
UR - http://www.scopus.com/inward/record.url?scp=85045263213&partnerID=8YFLogxK
U2 - 10.1109/ieem.2017.8289998
DO - 10.1109/ieem.2017.8289998
M3 - Conference contribution
AN - SCOPUS:85045263213
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 784
EP - 788
BT - 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
PB - IEEE Computer Society
T2 - 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Y2 - 10 December 2017 through 13 December 2017
ER -