Method and system for determining the mass of feedstock on a conveyor

Patent metadata

Field	Value
Publication number	US-2019011183-A1
Application number	US-201616064216-A
Country	US
Kind code	A1
Filing date	Dec 16, 2016
Priority date	Dec 22, 2015
Publication date	Jan 10, 2019
Grant date	—

Abstract

A method and a system for determining a mass of feedstock discharged by a conveyor during a first time interval Δt are disclosed. The method includes taking successive digital images of the feedstock in a specific zone of the conveyor being separated by a second time interval δt of smaller duration than the first time interval Δt, for each of the second time intervals δt: computing the advancing distance of a sub-volume of feedstock during the second time interval δt in the specific zone of the conveyor by numerical treatment of the two successive images associated with the second time interval δt; determining at least one transversal height profile of the sub-volume of feedstock; and determining an effective feedstock density for the sub-volume of feedstock. The method further includes computing the mass of feedstock discharged by the conveyor during the first time interval Δt into the metallurgical furnace on the basis of the advancing distance, the at least one transversal height profile and the effective feedstock density, computed or determined for each of the second time intervals δt.

First claim

What is claimed is:

1 - 17 . (canceled)

18 . A method for determining a mass of feedstock discharged by a conveyor during a first time interval Δt into a metallurgical furnace, comprising the steps of:
taking digital images of the feedstock in a specific zone of said conveyor, two successive images being separated by a second time interval δt, with δt≤Δt;
for each of said second time intervals δt:
computing the advancing distance of a sub-volume of feedstock during said second time interval δt in said specific zone of said conveyor by numerical processing of the two successive images associated with said second time interval δt;
determining at least one transversal height profile of said sub-volume of feedstock; and
determining an effective feedstock density for said sub-volume of feedstock; and

computing said mass of feedstock discharged by said conveyor during the first time interval Δt into the furnace on the basis of said advancing distance, said at least one transversal height profile and said effective feedstock density, computed or determined for each of said second time intervals δt.

19 . The method according to claim 18 , wherein computing said mass of feedstock discharged by said conveyor during the first time interval Δt comprises:
for each second time interval δt, computing the mass of the sub-volume of feedstock on the basis of said advancing distance, said at least one transversal height profile and said effective feedstock density determined; and
summing up the masses of sub-volumes of feedstock arriving at the furnace during the first time interval Δt.

20 . The method according to claim 18 , further comprising the step of:
numerically analyzing a digital image taken of the feedstock in said specific zone of said conveyor to determine a particle size distribution of the feedstock.

21 . The method according to claim 20 , wherein said effective feedstock density in said sub-volume is determined on the basis of said particle size distribution of the feedstock.

22 . The method according to claim 21 , wherein said effective feedstock density in said sub-volume is determined on the basis of said particle size distribution of the feedstock and using a look-up table in which effective feedstock densities are correlated to feedstock particle size distributions.

23 . The method according to claim 20 , wherein the duration of said second time intervals δt is dynamically adjusted on the basis of said particle size distribution of the feedstock.

24 . The method according to claim 18 , wherein said images are color images and said numerical processing for computing the advancing distance includes converting said color images to greyscale images.

25 . The method according to claim 18 , wherein said numerical processing for computing the advancing distance comprises:
selecting a portion of feedstock in one of said two successive images; and identifying the corresponding portion of feedstock in the other one of said two successive images.

26 . The method according to claim 25 , wherein selecting a portion of feedstock in one of said two successive images comprises:
determining a particle size distribution of the feedstock in said image; and selecting said portion of feedstock based upon said particle size distribution.

27 . The method according to claim 18 , wherein an advancing speed of said sub-volume of feedstock on said conveyor is computed.

28 . The method according to claim 18 , wherein said conveyor is an oscillating type conveyor.

29 . The method according to claim 18 , further comprising:
scaling the advancing distance or an advancing speed of the feedstock on the basis of a distance between a camera and the feedstock currently being considered in the computation of the advancing distance or the advancing speed.

30 . The method according to claim 29 , wherein said scaling is carried out dynamically, depending on the at least one transversal height profile.

31 . A system for determining a mass of feedstock discharged by a conveyor during a first time interval Δt into a metallurgical furnace, said system comprising:
at least one camera for taking successive images of the feedstock in a specific zone of said conveyor, two successive images being separated by a second time interval δt, with δt≤Δt;
at least one laser scanner or range camera for determining at least one transversal height profile of a sub-volume of feedstock in said specific zone;
a data processor configured for:
computing, for each second time interval δt, the advancing distance of the respective sub-volume of feedstock during said second time interval δt by numerical treatment of the two successive images associated with said second time interval δt; and
computing said mass of feedstock discharged by said conveyor during said first time interval Δt into the furnace on the basis of said advancing distance, said at least one transversal height profile and said effective feedstock density, computed, determined or fixed for each of said second time intervals δt.

32 . The system according to claim 31 , further comprising at least one lighting module for illuminating a field of view of said at least one camera, to reduce signal to noise ratio and enhance contrast of said successive images.

33 . The system according to claim 31 , wherein said at least one camera is placed above said conveyor, at a distance between one and three times a transversal width of the conveyor.

34 . A method for operating a metallurgical furnace, into which feedstock is discharged by a conveyor, said method comprising the steps of:
predicting a mass of feedstock discharged into the furnace during a first time interval Δt in accordance with the method as according to claim 18 , modifying operating parameters of said furnace based upon the mass of feedstock discharged in said furnace during said first time interval Δt; or modifying a mass flow of feedstock discharged into said furnace based upon target operating parameters of said furnace.

35 . The method according to claim 34 , wherein computing said mass of feedstock discharged by said conveyor during the first time interval Δt comprises:
for each second time interval δt, computing a mass of the sub-volume of feedstock on the basis of said advancing distance, said at least one transversal height profile and said effective feedstock density determined; and
summing up the masses of sub-volumes of feedstock arriving at the furnace during the first time interval Δt.

36 . The method according to claim 34 , further comprising:
numerically analyzing a digital image taken of the feedstock in said specific zone of said conveyor to determine a particle size distribution of the feedstock.

37 . The method according to claim 36 , wherein said effective feedstock density in said sub-volume is determined on the basis of said particle size distribution of the feedstock or wherein said effective feedstock density in said sub-volume is determined on the basis of said particle size distribution of the feedstock and using a look-up table in which effective feedstock densities are correlated to feedstock particle size distributions.

Assignees

• Arcelormittal

Inventors

• Baumert Jean-Claude
• Thibaut Jean-Claude
• Picco Marco

Classifications

• F27B3/28

  Arrangement of controlling, monitoring, alarm or the like devices · CPC title

• F27D2021/026

  using a video installation · CPC title

• F27D13/002

  Preheating scrap · CPC title

• F27B3/18 Primary

  Arrangements of devices for charging · CPC title

• C21C5/565

  Preheating of scrap · CPC title