CN114507760A - Method and system for detecting damage condition of blast furnace lining - Google Patents
Method and system for detecting damage condition of blast furnace lining Download PDFInfo
- Publication number
- CN114507760A CN114507760A CN202210188626.4A CN202210188626A CN114507760A CN 114507760 A CN114507760 A CN 114507760A CN 202210188626 A CN202210188626 A CN 202210188626A CN 114507760 A CN114507760 A CN 114507760A
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- Prior art keywords
- blast furnace
- lining
- furnace
- image
- detecting
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 239000011449 brick Substances 0.000 claims abstract description 18
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 12
- 239000010959 steel Substances 0.000 claims abstract description 12
- 238000005516 engineering process Methods 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims abstract description 5
- 238000012423 maintenance Methods 0.000 claims description 15
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 5
- 229910052799 carbon Inorganic materials 0.000 claims description 5
- 230000003628 erosive effect Effects 0.000 claims description 5
- 238000005299 abrasion Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 230000007547 defect Effects 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 238000000691 measurement method Methods 0.000 description 3
- 229910052742 iron Inorganic materials 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 239000002893 slag Substances 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000003034 coal gas Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000009991 scouring Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/24—Test rods or other checking devices
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/04—Blast furnaces with special refractories
- C21B7/06—Linings for furnaces
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Blast Furnaces (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
Abstract
The invention discloses a method for detecting the damage condition of a blast furnace lining, which is characterized in that 3D image equipment is arranged outside a blast furnace to photograph and scan a furnace throat steel brick and the furnace lining to obtain a depth image of a corresponding area, and then the depth image is analyzed by adopting a point cloud data processing technology. The method scans and photographs the blast furnace lining to obtain the depth information of the lining image, namely three-dimensional space coordinate data, and analyzes the damage and deformation conditions of the lining so as to solve the defects of other measuring methods. The method for detecting the damage condition of the blast furnace lining provides technical support for a blast furnace operator to master the damage and deformation conditions of the furnace lining, and effectively guides the adjustment operation and the safe production of the blast furnace.
Description
Technical Field
The invention relates to the field of blast furnace ironmaking in the steel industry, in particular to a method for detecting the damage and deformation conditions of a blast furnace lining.
Background
The blast furnace is a main device in the current iron-making production, is a closed high-temperature high-pressure container, is equivalent to a black box, and a blast furnace lining is key equipment for ensuring the safe and stable production of the blast furnace. The conditions occurring in the blast furnace can not be observed for a long time after the blast furnace is put into operation, most judgment and adjustment of the operation of the blast furnace are made based on the accumulated experience of operators, and ironmaking workers pay great attention to the conditions occurring in the blast furnace, particularly the change of a blast furnace lining. In the blast furnace smelting process, as the furnace lining is continuously subjected to physical scouring and chemical erosion of high-temperature gas and iron slag, the shape of the furnace lining is changed, the reasonable operation furnace shape is destroyed, the gas distribution in the blast furnace is influenced, and the furnace condition is unstable, so that the situation is abnormal. More serious is that the furnace lining is damaged, so that high-temperature coal gas and iron slag are directly communicated with the steel furnace shell, the temperature of the furnace shell is abnormally increased, the furnace shell becomes red, and even serious safety accidents of furnace shell burning-through occur. Therefore, the method can be used for detecting the damage condition of the furnace lining, analyzing the furnace type before the furnace is opened and the furnace type during maintenance or after the furnace is stopped, namely, the change and the difference between the designed furnace type and the operated furnace type are analyzed, has important functions on rapidly processing the furnace condition and stabilizing the production of the blast furnace, and also provides technical support for the optimization design of the furnace type of the blast furnace.
The blast furnace lining damage condition detection technology can be divided into a direct measurement method and an indirect inference method. The direct measurement method is used for measuring the damaged part and deformation condition of the furnace lining in a contact and field manner through a measuring tool, the method is generally used for building a lifting maintenance platform in a blast furnace during the middle maintenance or overhaul period, and personnel can enter the lifting maintenance platform to perform damage measurement on the furnace lining of a specific part. The direct measurement method has higher precision, but can be implemented only during the middle repair or the overhaul period and under the condition that a lifting overhaul platform is built in the furnace, and the construction period is very short during the middle repair or the overhaul period of the blast furnace, so the measurement operation is limited. The indirect inference method monitors the change trend of the characteristic parameter value of the furnace lining through equipment instruments such as a thermocouple, a thickness meter and the like, and calculates and judges the damage and deformation conditions of the furnace lining. This method has the advantage of continuous detection, but the accuracy is limited and does not indicate a broken condition of the lining surface.
Disclosure of Invention
The invention aims to solve the technical problem of realizing a non-contact furnace lining damage condition detection method.
In order to achieve the purpose, the invention adopts the technical scheme that: a method for detecting the damage condition of a blast furnace lining comprises the steps of mounting a 3D image device outside a blast furnace to photograph and scan a throat steel brick and the lining to obtain a depth image of a corresponding area, and analyzing the throat steel brick and the lining by adopting a point cloud data processing technology on the depth image.
The content of analyzing the furnace throat steel brick and the furnace lining comprises abrasion, deformation, breakage, cracks, holes, bonding and the content is marked with dimensions.
When the blast furnace is taken off in overhaul, the erosion condition of each layer of carbon bricks at the bottom of the hearth is mapped through 3D image equipment.
The utility model provides a system that damaged situation of blast furnace lining detected, the system is equipped with the 3D image equipment of installing on the support, 3D image equipment places at the furnace lining opening part, gathers in the direction orientation blast furnace, 3D image equipment is equipped with one or more to select one or more furnace lining opening parts in the following, the furnace lining opening part includes on furnace roof maintenance platform, scans the blast furnace lining from access door, observation hole or ignition hole and shoots to and on wind gap maintenance platform, scan the blast furnace lining from the wind gap and shoot.
Each 3D image device comprises a three-dimensional space range finder and a depth camera.
The 3D image device is connected with and outputs an image signal to the host.
The method scans and photographs the blast furnace lining to obtain the depth information of the lining image, namely three-dimensional space coordinate data, and analyzes the damage and deformation conditions of the lining so as to solve the defects of other measuring methods. The method for detecting the damage condition of the blast furnace lining provides technical support for a blast furnace operator to master the damage and deformation conditions of the furnace lining, and effectively guides the adjustment operation and the safe production of the blast furnace.
Drawings
The following is a brief description of the contents of each figure and the symbols in the figures in the description of the invention:
FIG. 1 is a schematic view of a method for detecting a damaged condition of a lining of a blast furnace;
FIG. 2 is a cross-sectional profile view of the middle of a throat brick;
the labels in the above figures are: 1. a furnace roof maintenance platform; 2. a support; 3. a 3D image device; 4. an access door; 5. an observation hole; 6. an ignition hole; 7. furnace throat steel bricks; 8. a furnace lining; 9. a tuyere; 10. tuyere maintenance platform.
Detailed Description
The following description of the embodiments with reference to the drawings is provided to describe the embodiments of the present invention, and the embodiments of the present invention, such as the shapes and configurations of the components, the mutual positions and connection relationships of the components, the functions and working principles of the components, the manufacturing processes and the operation and use methods, etc., will be further described in detail to help those skilled in the art to more completely, accurately and deeply understand the inventive concept and technical solutions of the present invention.
As shown in fig. 1, the system is provided with a 3D image device 3 installed on a support 2, the 3D image device 3 is arranged on a furnace top maintenance platform 1, the 3D image device 3 is adjusted to a proper position in the furnace through the support 2 from an access door 4, an observation hole 5 or an ignition hole 6, or a tuyere 9 on a tuyere maintenance platform 10 on the tuyere maintenance platform 10, the 3D image device 3 is adopted to photograph and scan a throat steel brick 7 and a furnace lining 8 of the blast furnace, a depth image of a corresponding area is obtained, a point cloud data processing technology is adopted to analyze damaged or deformed parts of the throat steel brick 7 and the furnace lining 8, relevant parameters such as size and the like are marked, and judgment and decision bases are provided for blast furnace operators.
The lining 8 refers to the whole blast furnace lining from the top to the hearth, and comprises a furnace top ascending pipe, furnace throat steel bricks 7, a cooling wall, tuyere combined bricks and carbon bricks on each layer of the hearth bottom.
The 3D image equipment 3 can select two positions arbitrarily from an access door 4, an observation hole 5 and an ignition hole 6 on the furnace top overhaul platform 1 or select two air ports 9 opposite in diameter direction from an air port overhaul platform 10 for multi-position regional detection, and a point cloud image of the whole furnace lining 8 space in the furnace is obtained through a data splicing technology.
The 3D image device 3 comprises a three-dimensional space distance measuring instrument, a depth camera and other devices capable of quickly and accurately acquiring space coordinate data of an object. The damaged or deformed portions of the furnace lining 8 are analyzed, including wear, deformation, breakage, cracks, holes, adhesion, etc., and the relevant dimensions are labeled.
The detection method comprises the step of surveying and mapping the erosion condition of carbon bricks on each layer of the hearth and the bottom of the furnace by using a 3D image device 3 in a blast furnace overhaul raking furnace. The method for comprehensively detecting the blast furnace lining from the furnace top maintenance platform 1 or the tuyere maintenance platform 10 by adopting the 3D image equipment 3 is used for detecting the deformation change condition in the blast furnace and detecting the carbon brick erosion condition at the bottom of the furnace hearth.
The method for detecting the damage condition of the blast furnace lining 8 is adopted, 1 or more positions are selected from an access door 4, an observation hole 5 or an ignition hole 6 on a furnace top access platform 1 or a tuyere 9 on a tuyere access platform 10, the blast furnace lining 8 is photographed and scanned, a depth image of a corresponding area is obtained, the damaged or deformed part of the blast furnace lining 8 is analyzed, and related parameters such as size are marked. As can be seen from FIG. 2, the middle and lower parts of the throat brick 7 are severely worn and deformed, and some parts are damaged; the stave at the upper middle portion of the blast furnace lining 8 is kept good.
The invention has been described above with reference to the accompanying drawings, it is obvious that the invention is not limited to the specific implementation in the above-described manner, and it is within the scope of the invention to apply the inventive concept and solution to other applications without substantial modification.
Claims (6)
1. A method for detecting the damage condition of a blast furnace lining is characterized by comprising the following steps: and 3D image equipment is arranged outside the blast furnace to photograph and scan the furnace throat steel bricks and the furnace lining to obtain a depth image of a corresponding area, and the depth image is analyzed by adopting a point cloud data processing technology.
2. The method for detecting the breakage of the lining of the blast furnace according to claim 1, wherein: the content of analyzing the furnace throat steel brick and the furnace lining comprises abrasion, deformation, breakage, cracks, holes, bonding and the content is marked with dimensions.
3. The method for detecting the breakage of the lining of the blast furnace according to claim 1 or 2, wherein: when the blast furnace is taken off in overhaul, the erosion condition of each layer of carbon bricks at the bottom of the hearth is mapped through 3D image equipment.
4. The utility model provides a system that damaged situation of blast furnace lining detected, its characterized in that, the system is equipped with the 3D image equipment of installing on the support, 3D image equipment places at the furnace wall opening part, gathers in the direction orientation blast furnace, 3D image equipment is equipped with one or more to select one or more furnace wall opening part in the following, the furnace wall opening part includes on furnace roof maintenance platform, scans the blast furnace lining from access door, observation hole or ignition hole and shoots to and on wind gap maintenance platform, scan the furnace lining in the blast furnace from the wind gap and shoot.
5. The system for detecting the breakage of the lining of the blast furnace according to claim 4, wherein: each 3D image device comprises a three-dimensional space range finder and a depth camera.
6. The system for detecting the breakage of the lining of the blast furnace according to claim 4, wherein: the 3D image device is connected with and outputs an image signal to the host.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210188626.4A CN114507760A (en) | 2022-02-28 | 2022-02-28 | Method and system for detecting damage condition of blast furnace lining |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210188626.4A CN114507760A (en) | 2022-02-28 | 2022-02-28 | Method and system for detecting damage condition of blast furnace lining |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114507760A true CN114507760A (en) | 2022-05-17 |
Family
ID=81553545
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210188626.4A Pending CN114507760A (en) | 2022-02-28 | 2022-02-28 | Method and system for detecting damage condition of blast furnace lining |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114507760A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101921887A (en) * | 2010-08-18 | 2010-12-22 | 攀钢集团冶金工程技术有限公司 | Maintenance method of blast furnace liner |
| CN209923373U (en) * | 2019-04-10 | 2020-01-10 | 天津市三特电子有限公司 | Blast furnace tuyere equipment and peripheral furnace body lining erosion state inspection system thereof |
| JP2020015934A (en) * | 2018-07-24 | 2020-01-30 | 日本製鉄株式会社 | Image determination learning device, image determination learning program, image determination learning method, and blast furnace monitoring device |
| CN111273272A (en) * | 2020-03-24 | 2020-06-12 | 河北金波嘉源测控技术有限公司 | 3D radar scanner for blast furnace burden surface imaging and blast furnace burden surface detection system |
| CN113034480A (en) * | 2021-04-01 | 2021-06-25 | 西安道法数器信息科技有限公司 | Blast furnace damage analysis method based on artificial intelligence and image processing |
-
2022
- 2022-02-28 CN CN202210188626.4A patent/CN114507760A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101921887A (en) * | 2010-08-18 | 2010-12-22 | 攀钢集团冶金工程技术有限公司 | Maintenance method of blast furnace liner |
| JP2020015934A (en) * | 2018-07-24 | 2020-01-30 | 日本製鉄株式会社 | Image determination learning device, image determination learning program, image determination learning method, and blast furnace monitoring device |
| CN209923373U (en) * | 2019-04-10 | 2020-01-10 | 天津市三特电子有限公司 | Blast furnace tuyere equipment and peripheral furnace body lining erosion state inspection system thereof |
| CN111273272A (en) * | 2020-03-24 | 2020-06-12 | 河北金波嘉源测控技术有限公司 | 3D radar scanner for blast furnace burden surface imaging and blast furnace burden surface detection system |
| CN113034480A (en) * | 2021-04-01 | 2021-06-25 | 西安道法数器信息科技有限公司 | Blast furnace damage analysis method based on artificial intelligence and image processing |
Non-Patent Citations (1)
| Title |
|---|
| 何万涛等: "面结构光投影三维测量技术", 哈尔滨工业大学出版社 * |
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Application publication date: 20220517 |