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Ash-Line Control

Nielsen, Lars and Dahl, Ola (1988) In Machine Vision and Applications 1(3). p.163-168
Abstract
For efficient firing in sloping grate bark furnaces, it is important to control the ash line position on the grate. The ash line is the border between burning fuel and fuel which is burned out (ash). Here, the problem of detecting the ash line with an image processing system is treated. The presentation of trend curves to the operator is of special interest. The process is slow and trend curves provide a memory that will assist the operator to improve the manual control of the process. In future development it may be possible to close the loop. An algorithm for detection of the ash line is presented. It is an optimization method where the position of the ash line is computed by maximizing a criterion. The criterion is tailored for the... (More)
For efficient firing in sloping grate bark furnaces, it is important to control the ash line position on the grate. The ash line is the border between burning fuel and fuel which is burned out (ash). Here, the problem of detecting the ash line with an image processing system is treated. The presentation of trend curves to the operator is of special interest. The process is slow and trend curves provide a memory that will assist the operator to improve the manual control of the process. In future development it may be possible to close the loop. An algorithm for detection of the ash line is presented. It is an optimization method where the position of the ash line is computed by maximizing a criterion. The criterion is tailored for the application and maximized by dynamic programming. The goal has been to obtain an algorithm suitable for implementation on a small personal computer. The algorithm has been tested on images taken from a videotape, showing the interior of an industrial bark furnace. Experimental results show that the algorithm can be used for the generation of trend curves. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Machine Vision and Applications
volume
1
issue
3
pages
163 - 168
publisher
Springer
ISSN
0932-8092
DOI
10.1007/BF01213003
language
English
LU publication?
no
id
622bb644-2087-495c-9c58-283d6fa19806 (old id 8496446)
date added to LUP
2016-01-04 15:13:41
date last changed
2019-03-18 04:00:03
@article{622bb644-2087-495c-9c58-283d6fa19806,
  abstract     = {For efficient firing in sloping grate bark furnaces, it is important to control the ash line position on the grate. The ash line is the border between burning fuel and fuel which is burned out (ash). Here, the problem of detecting the ash line with an image processing system is treated. The presentation of trend curves to the operator is of special interest. The process is slow and trend curves provide a memory that will assist the operator to improve the manual control of the process. In future development it may be possible to close the loop. An algorithm for detection of the ash line is presented. It is an optimization method where the position of the ash line is computed by maximizing a criterion. The criterion is tailored for the application and maximized by dynamic programming. The goal has been to obtain an algorithm suitable for implementation on a small personal computer. The algorithm has been tested on images taken from a videotape, showing the interior of an industrial bark furnace. Experimental results show that the algorithm can be used for the generation of trend curves.},
  author       = {Nielsen, Lars and Dahl, Ola},
  issn         = {0932-8092},
  language     = {eng},
  number       = {3},
  pages        = {163--168},
  publisher    = {Springer},
  series       = {Machine Vision and Applications},
  title        = {Ash-Line Control},
  url          = {http://dx.doi.org/10.1007/BF01213003},
  volume       = {1},
  year         = {1988},
}