Method for determining the state of the tap of a metallurgical vessel in particular
US-2016298907-A1 · Oct 13, 2016 · US
US2016282049A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016282049-A1 |
| Application number | US-201414777810-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 7, 2014 |
| Priority date | Apr 12, 2013 |
| Publication date | Sep 29, 2016 |
| Grant date | — |
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The invention relates to a method for determining the state of a fire-resistant lining of a vessel ( 10 ) containing molten metal in particular. In the process, maintenance data, production data, and wall thicknesses at least at locations with the highest degree of wear are measured or ascertained together with additional process parameters of a vessel ( 10 ) after the vessel ( 10 ) has been used. Said data is then collected and stored in a data structure. A calculating model is generated from at least some of the measured or ascertained data or parameters, and said data or parameters are evaluated by means of the calculating model using calculations and subsequent analyses. Thus, related or integral ascertaining processes and subsequent analyses can be carried out, on the basis of which optimizations relating to both the vessel lining as well as the complete process of the molten metal in the vessel are achieved.
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1 . A method for determining the state of the refractory lining of a vessel containing the molten metal in particular, wherein data of this refractory lining ( 12 ), such as materials, wall thickness, type of installation and others are detected or measured and evaluated, characterised in that the following measured or established data of each vessel ( 10 ) are all collected and stored in a data structure, namely the initial refractory construction of the inner vessel lining ( 12 ), such as materials, material properties, wall thicknesses of blocks and/or injected materials as maintenance data; production data during use, such as amount of molten mass, temperature, composition of the molten mass or the slag and its thickness, tapping times, temperature profiles, treatment times and/or metallurgical parameters; wall thicknesses of the lining after using a vessel ( 10 ), at least at points with the greatest degree of wear; additional process parameters such as the manner of pouring or tapping the molten metal into or out of the vessel ( 10 ); that a calculation model is generated from at least some of the measured or ascertained data or parameters, by means of which these data or parameters are evaluated by means of calculations and subsequent analyses. 2 . The method according to claim 1 , further comprising: checking the data for plausibility after being recorded, and when there is a lack or an anomaly of one or more values of the data, correcting the lack of one or more values of the data or deleting the anomaly of one or more values of the data. 3 . The method according to claim 1 , further comprising, after individually checking the data, storing the checked data as an assembled, valid set of data. 4 . The method according to claim 1 , further comprising selecting a reduced number from the measured or ascertained data or parameters for the recurring calculations or analyses dependent upon empirical values or by calculation methods. 5 . The method according to claim 4 , wherein the selection of measured or ascertained data or parameters for the recurring calculations or analyses takes place by means of algorithms, one of the algorithms being a random feature selection. 6 . The method according to claim 4 , the further comprising using other data that are not utilised any further for statistical purposes or for later recording of data. 7 . The method according to claim 1 , further comprising measuring the wall thicknesses of the lining after a number of tappings, on the basis of these measurements on the one hand this calculation model making a decision regarding further use with or without repairs of the vessel. 8 . The method according to claim 1 , further comprising adapting the calculation model from the measurements of the wall thicknesses of the lining after a number of tappings by means of an analysis by means of which the wear can be calculated taking into account the collected and structured data. 9 . The method according to claim 8 , wherein the model for this neural network is used for purposes of testing, in order to test or simulate process sequences from the model and in order to make specific changes in actual operation on this basis. 10 . The method according to claim 1 , wherein the metallurgical vessel is divided into different sections and this calculation model evaluates these sections independently of one another on the basis of all of the measured and ascertained data or parameters. 11 . The method according to claim 10 , further comprising selecting the sections on the one hand distributed over the circumference of the vessel and on the other hand over its height. 12 . The method according to claim 8 , wherein the analysis is a regression analysis. 13 . The method according to claim 10 , wherein the metallurgical vessel is a converter. 14 . The method according to claim 2 , further comprising, after individually checking the data, storing the checked data as an assembled, valid set of data. 15 . The method according to claim 2 , further comprising selecting a reduced number from the measured or ascertained data or parameters for the recurring calculations or analyses dependent upon empirical values or by calculation methods. 16 . The method according to claim 2 , wherein the metallurgical vessel is divided into different sections and this calculation model evaluates these sections independently of one another on the basis of all of the measured and ascertained data or parameters. 17 . The method according to claim 16 , further comprising selecting the sections on the one hand distributed over the circumference of the vessel and on the other hand over its height. 18 . The method according to claim 3 , further comprising adapting the calculation model from the measurements of the wall thicknesses of the lining after a number of tappings by means of an analysis by means of which the wear can be calculated taking into account the collected and structured data. 19 . The method according to claim 3 , further comprising selecting a reduced number from the measured or ascertained data or parameters for the recurring calculations or analyses dependent upon empirical values or by calculation methods. 20 . The method according to claim 19 , wherein the selection of measured or ascertained data or parameters for the recurring calculations or analyses takes place by means of algorithms, one of the algorithms being a random feature selection.
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