CN116519164A - Molten iron temperature intelligent measurement system for cylinder liner production - Google Patents
Molten iron temperature intelligent measurement system for cylinder liner production Download PDFInfo
- Publication number
- CN116519164A CN116519164A CN202310497967.4A CN202310497967A CN116519164A CN 116519164 A CN116519164 A CN 116519164A CN 202310497967 A CN202310497967 A CN 202310497967A CN 116519164 A CN116519164 A CN 116519164A
- Authority
- CN
- China
- Prior art keywords
- temperature
- distance
- value
- molten iron
- temperature measuring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 144
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 72
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 19
- 238000005259 measurement Methods 0.000 title claims description 3
- 238000001514 detection method Methods 0.000 claims abstract description 92
- 239000006185 dispersion Substances 0.000 claims abstract description 42
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 36
- 238000007405 data analysis Methods 0.000 claims abstract description 13
- 230000005856 abnormality Effects 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 description 8
- 229910000805 Pig iron Inorganic materials 0.000 description 2
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 229910052717 sulfur Inorganic materials 0.000 description 2
- 239000011593 sulfur Substances 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 229910002091 carbon monoxide Inorganic materials 0.000 description 1
- 239000000571 coke Substances 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 125000004435 hydrogen atom Chemical class [H]* 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000006722 reduction reaction Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/14—Supports; Fastening devices; Arrangements for mounting thermometers in particular locations
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
Abstract
The invention discloses an intelligent measuring system for molten iron temperature for cylinder sleeve production, which relates to the technical field of intelligent temperature detection, wherein molten iron temperatures between different areas and different distances are obtained through a temperature detection module, then a data analysis module firstly carries out temperature measurement on distance temperature measuring points with the same distance in different areas, so as to obtain the average value of each distance temperature measuring point, then a formula is adopted to obtain the dispersion value of the average value of the distance temperature measuring points, the dispersion value of the average value of the distance temperature measuring points is compared with a preset temperature dispersion value, if the dispersion value of the average value of the distance temperature measuring points exceeds the preset temperature dispersion value, a standard detection module is started to obtain a standard temperature value, the standard temperature value is compared with the average value of the distance temperature to obtain the optimal distance of a temperature detection point, and meanwhile, a device distance self-adjusting module is used for adjusting the temperature detection device to the optimal distance so as to collect the molten iron temperature, and the accuracy of non-contact type temperature collection device is improved.
Description
Technical Field
The invention belongs to the technical field of intelligent temperature detection, and particularly relates to an intelligent molten iron temperature measuring system for cylinder sleeve production.
Background
Blast furnace iron making technology is the main means of world iron production. During the production of blast furnace, ore, coke and other materials are charged into the furnace top, preheated air is blown into the lower part of the furnace, the materials react at high temperature to produce carbon monoxide and hydrogen, the products are further reduced by reduction reaction, and the smelted molten iron is discharged from a tap hole. The temperature of molten iron affects the quality of pig iron, especially the sulfur content of pig iron, and the sulfur content is generally reduced with the increase of the temperature of molten iron.
The invention discloses a blast furnace molten iron temperature online detection method and system, which comprises the following steps: gray processing is carried out on the collected RGB image of the molten iron according to a temperature interval, and a first gray image is obtained; performing space transformation on the first gray level image and interpolating the first gray level image by using an interpolation algorithm to obtain a second gray level image; low-pass filtering the second gray scale map; performing image enhancement on the gray level image of the second gray level image after low-pass filtering to obtain a third gray level image; and processing the third gray level map by using the trained convolutional neural network model to obtain the molten iron temperature at the moment of collecting the RGB image of the molten iron. According to the invention, the on-line detection of the temperature of the molten iron of the blast furnace is realized in a mode of processing the RGB image of the molten iron, the detection of the temperature of the molten iron by manually approaching the molten iron is avoided, and meanwhile, the detection result is accurate.
Aiming at the method and the system for online detection of the temperature of the molten iron of the blast furnace, which are provided by the invention, an image detection method is adopted, the image detection method is non-contact temperature measurement, and whether the distance between the temperature image acquisition equipment and a detection target has influence on temperature detection is not analyzed when image acquisition is carried out.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides an intelligent measuring system for the temperature of molten iron for producing the cylinder liner, which is used for solving the technical problems.
To achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent measuring system for a temperature of molten iron for cylinder liner production, comprising:
the external information acquisition module is used for acquiring basic information of molten iron storage during cylinder sleeve production and transmitting the basic information to the temperature detection module, wherein the basic information of molten iron storage comprises the area of a molten iron storage tank, a molten iron temperature interval during cylinder sleeve production and the temperature distance between temperature detection equipment and molten iron;
the temperature detection module is used for acquiring the temperature of molten iron between different distances, a plurality of distance temperature measuring points are set according to factory parameter values of temperature detection equipment, then regional temperature measuring points are acquired according to the volume of the blast furnace, and then the temperature detection module transmits information to the data analysis module;
the data analysis module is used for receiving the data information transmitted by the temperature detection module, acquiring the average value of each distance temperature measurement point, then acquiring a dispersion value of the temperature measurement points through calculation, acquiring the optimal distance of the temperature detection points according to the dispersion value, and transmitting the optimal distance of the temperature detection equipment to the equipment distance self-adjusting module;
the standard detection module is used for carrying out timing verification on temperature detection of the intelligent molten iron temperature measurement system, and the standard detection module is connected with the contact sensor to obtain an accurate value of the temperature;
the device distance self-adjusting module is used for automatically adjusting the temperature measuring device to the position of the optimal distance according to the optimal distance transmitted by the data information analyzing module;
the temperature abnormality alarm module is used for receiving the abnormal temperature information detected by the temperature detection module, and then the temperature abnormality alarm module alarms and reminds the abnormal temperature information.
As a further scheme of the invention, the distance temperature measuring point is obtained by the following steps:
and setting a distance interval (Dmin, dmax) for the temperature measurement distance according to factory parameters of the temperature measurement equipment, setting a plurality of temperature measurement points according to the distance interval of the temperature measurement distance, and marking each temperature measurement point as a distance temperature measurement point, wherein the distance interval between each two temperature measurement points is 5cm.
As a further scheme of the invention, the acquisition mode of the regional temperature measuring points is as follows:
firstly, the appearance and the volume of the blast furnace are obtained, then, a fixed position is selected according to the visual angle range of the temperature detection equipment, then, the shape of the blast furnace is divided according to the range distance of the visual angle, detection positions are set, and each temperature detection position is marked as a regional temperature measurement point.
As a further scheme of the invention, the specific acquisition mode of the optimal distance of the temperature detection point is as follows:
firstly obtaining the average value of the distance temperature measuring points, and then according to the formulaObtaining a dispersion value WDs of the distance temperature measuring points, wherein WDa is the average value of the average value WDaj of the distance temperature measuring points, comparing the dispersion value WDs with a preset temperature dispersion value WDy, if the distance dispersion value WDs is smaller than the preset temperature dispersion value WDy, indicating that the influence value of the distance of the temperature measuring equipment on the temperature detection of molten iron is smaller, and at the moment, combining the influence of the temperature value in the temperature interval of the molten iron when the cylinder sleeve is produced on the service life of the temperature detecting equipment, and finding the optimal distance of the temperature detecting point;
if the distance dispersion value WDs exceeds the preset temperature dispersion value WDy, the influence value of the distance of the temperature measuring equipment on the temperature detection of the molten iron is larger, at this time, a standard detection module is started, the standard value of the temperature of the molten iron at this time is obtained through the standard detection module, then the average value WDaj of each distance measuring point is compared through the temperature standard value, the average value of the closest distance measuring point is obtained, then the corresponding distance is obtained, and the distance is used as the optimal distance of the temperature detecting equipment.
As a further scheme of the invention, the average value of the distance temperature measuring points is obtained by the following steps:
firstly extracting temperature information of a temperature detection module, then respectively acquiring the value of each distance temperature measuring point in different area temperature measuring points, and simultaneously marking the temperature values of different distance temperature measuring points in each area temperature measuring point as WDij, wherein i represents the area temperature measuring point, and j represents the distance temperature measuring point;
s2: selecting distance temperature measuring points, enabling j to be 1, obtaining a temperature value WDi1 of each area temperature measuring point, then carrying out average processing on the temperature value of each area temperature measuring point to obtain a temperature measuring point average WDa1 of the minimum position, and sequentially enabling j to be 2, 3, … … and j to obtain a temperature measuring point average WDaj of each distance.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of obtaining molten iron temperatures between different areas and different distances through a temperature detection module, carrying out temperature measurement on distance temperature measuring points with the same distance in different areas through a data analysis module, so that the average value of each distance temperature measuring point is obtained, obtaining a dispersion value of the average value of the distance temperature measuring points through a formula, comparing the dispersion value of the average value of the distance temperature measuring points with a preset temperature dispersion value, starting a standard detection module to obtain a standard temperature value if the dispersion value of the average value of the distance temperature measuring points exceeds the preset temperature dispersion value, comparing the standard temperature value with the average value of the distance temperature to obtain the optimal distance of the temperature detection points, and adjusting temperature detection equipment to the optimal distance through an equipment distance self-adjusting module, so that the molten iron temperature is collected, and the accuracy of non-contact temperature collection equipment is improved.
Drawings
Fig. 1 is a schematic diagram of a system frame of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the application provides an intelligent measuring system for molten iron temperature for cylinder liner production, which comprises an external information acquisition module, a temperature detection module, a data analysis module, a standard detection module, a device distance self-adjusting module and a temperature abnormality alarm module;
the external information acquisition module is used for acquiring basic information of molten iron storage during cylinder sleeve production, wherein the basic information of molten iron storage specifically comprises the area of a molten iron storage tank, a molten iron temperature interval during cylinder sleeve production and the temperature distance between temperature detection equipment and molten iron, and then the external information acquisition module transmits the acquired basic information of molten iron storage to the temperature detection module;
the temperature detection module is used for acquiring the temperature of molten iron between different distances, transmitting abnormal temperature value generation information to the temperature abnormality alarm module according to the temperature interval of the molten iron during the production of the cylinder sleeve, acquiring the temperature data of the molten iron in a normal state, setting a distance interval (Dmin, dmax) for the temperature measurement distance according to factory parameters of the temperature measurement equipment, setting a plurality of temperature measurement points according to the distance interval of the temperature measurement distance, and marking each temperature measurement point as a distance temperature measurement point, wherein the distance interval between each distance temperature measurement point is 5cm;
meanwhile, as the area of the blast furnace is larger in the blast furnace ironmaking process, in the temperature detection process, the temperature detection is carried out by adopting a plurality of direction positions, so that the temperature detection is more accurate when the temperature detection module detects the temperature of molten iron, wherein the selection modes of the plurality of direction positions are as follows:
firstly, obtaining the appearance and the volume of a blast furnace, then, according to the visual angle range of temperature detection equipment, firstly, selecting a fixed position, then, according to the range distance of the visual angle, dividing the shape of the blast furnace, setting detection positions, and marking each temperature detection position as a regional temperature measurement point, so that the blast furnace is detected in an omnibearing manner by the temperature detection equipment;
then the temperature detection module transmits the distance interval, the temperature measuring points and the temperature value of each temperature measuring point to the data analysis module;
the data analysis module is used for receiving the data information transmitted by the temperature detection module, and then the data analysis module performs inertial analysis on the data information, wherein the specific mode of the inertial analysis is as follows:
s1: firstly extracting temperature information of a temperature detection module, wherein the temperature information comprises distance temperature measuring points and area temperature measuring points, then respectively acquiring the value of each distance temperature measuring point in different area temperature measuring points, and simultaneously marking the temperature value of different distance temperature measuring points in each area temperature measuring point as WDij, wherein i represents the area temperature measuring points and j represents the distance temperature measuring points;
s2: firstly selecting a distance temperature measuring point, enabling j to be 1, namely selecting a position point Dmin with the smallest distance to the temperature measuring point, obtaining a temperature value WDi1 of the temperature measuring point of each area, then carrying out average processing on the temperature value of the temperature measuring point of each area to obtain a temperature measuring point average WDa1 of the smallest position, and sequentially enabling j to be 2, 3, … … and j to obtain an average WDaj of each distance temperature measuring point;
s3: then, calculating the dispersion value of the distance temperature measuring points by adopting a formulaObtaining a dispersion value WDs of distance temperature measuring points, wherein WDa is the average value of the average value WDaj of the distance temperature measuring points, comparing the dispersion value WDs with a preset temperature dispersion value WDy, if the distance dispersion value WDs is smaller than the preset temperature dispersion value WDy, indicating that the influence value of the distance of the temperature measuring equipment on the temperature detection of molten iron is smaller in a distance interval set by equipment, and finding the optimal distance of the temperature detecting point by combining the influence of the temperature value in the temperature interval of the molten iron during the production of the cylinder sleeve on the service life of the temperature detecting equipment;
if the distance dispersion value WDs exceeds the preset temperature dispersion value WDy, the fact that the influence value of the distance of the temperature measuring equipment on the temperature detection of molten iron is larger in the distance interval set by the equipment is indicated, a standard detection module is started at the moment, the standard value of the temperature of the molten iron at the moment is obtained through the standard detection module, then the average value WDaj of each distance measuring point is compared through the temperature standard value, the average value of the closest distance measuring point is obtained, then the corresponding distance is obtained, the distance is taken as the optimal distance of the temperature detecting equipment, and the specific value is set by related professionals in the preset temperature dispersion value WDy;
s4: the data analysis module transmits the optimal distance of the temperature detection equipment to the equipment distance self-adjusting module;
the standard detection module is used for carrying out timing verification on temperature detection of the intelligent molten iron temperature measurement system, the standard detection module is connected with the contact sensor to obtain an accurate value of temperature, and then the standard detection module carries out timing verification and maintenance on temperature detection equipment in the intelligent molten iron temperature measurement system according to the accurate value of temperature and temperature information in the data analysis module;
the device distance self-adjusting module is used for automatically adjusting the temperature measuring device to the position of the optimal distance according to the optimal distance transmitted by the data information analyzing module;
the temperature abnormality alarm module is used for receiving the abnormal temperature information detected by the temperature detection module, and then the temperature abnormality alarm module alarms and reminds the abnormal temperature information and timely informs related personnel to carry out specific abnormality investigation on the temperature detection equipment and the molten iron temperature.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the invention is as follows: the method comprises the steps of firstly obtaining basic information of molten iron storage during cylinder sleeve production through an external information collection module, obtaining molten iron temperatures between different areas and different distances through a temperature detection module, firstly carrying out temperature measurement on distance temperature measuring points with the same distance in different areas through a data analysis module, so as to obtain the average value of each distance temperature measuring point, obtaining a dispersion value of the average value of the distance temperature measuring points through a formula, comparing the dispersion value of the average value of the distance temperature measuring points with a preset temperature dispersion value, starting a standard detection module to obtain a standard temperature value if the dispersion value of the average value of the distance temperature measuring points exceeds the preset temperature dispersion value, comparing the standard temperature value with the distance temperature average value to obtain the optimal distance of the temperature detection points, and simultaneously adjusting temperature detection equipment to the optimal distance through an equipment distance self-adjusting module so as to collect the molten iron temperature.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (5)
1. Molten iron temperature intelligent measurement system for cylinder jacket production, its characterized in that includes:
the external information acquisition module is used for acquiring basic information of molten iron storage during cylinder sleeve production and transmitting the basic information to the temperature detection module, wherein the basic information of molten iron storage comprises the area of a molten iron storage tank, a molten iron temperature interval during cylinder sleeve production and the temperature distance between temperature detection equipment and molten iron;
the temperature detection module is used for acquiring the temperature of molten iron between different distances, a plurality of distance temperature measuring points are set according to factory parameter values of temperature detection equipment, then regional temperature measuring points are acquired according to the volume of the blast furnace, and then the temperature detection module transmits information to the data analysis module;
the data analysis module is used for receiving the data information transmitted by the temperature detection module, acquiring the average value of each distance temperature measurement point, then acquiring a dispersion value of the temperature measurement points through calculation, acquiring the optimal distance of the temperature detection points according to the dispersion value, and transmitting the optimal distance of the temperature detection equipment to the equipment distance self-adjusting module;
the standard detection module is used for carrying out timing verification on temperature detection of the intelligent molten iron temperature measurement system, and the standard detection module is connected with the contact sensor to obtain an accurate value of the temperature;
the device distance self-adjusting module is used for automatically adjusting the temperature measuring device to the position of the optimal distance according to the optimal distance transmitted by the data information analyzing module;
the temperature abnormality alarm module is used for receiving the abnormal temperature information detected by the temperature detection module, and then the temperature abnormality alarm module alarms and reminds the abnormal temperature information.
2. The intelligent measuring system for the temperature of molten iron for producing cylinder liners according to claim 1, characterized in that the obtaining mode of the distance measuring point is as follows:
and setting a distance interval (Dmin, dmax) for the temperature measurement distance according to factory parameters of the temperature measurement equipment, setting a plurality of temperature measurement points according to the distance interval of the temperature measurement distance, and marking each temperature measurement point as a distance temperature measurement point, wherein the distance interval between each two temperature measurement points is 5cm.
3. The intelligent determination system for molten iron temperature for cylinder liner production according to claim 1, wherein the area temperature measuring points are obtained by the following steps:
firstly, the appearance and the volume of the blast furnace are obtained, then, a fixed position is selected according to the visual angle range of the temperature detection equipment, then, the shape of the blast furnace is divided according to the range distance of the visual angle, detection positions are set, and each temperature detection position is marked as a regional temperature measurement point.
4. The intelligent measuring system for the temperature of molten iron for producing cylinder liners according to claim 1, characterized in that the specific obtaining mode of the optimal distance of the temperature detecting point is as follows:
firstly obtaining the average value of the distance temperature measuring points, and then according to the formulaObtaining a dispersion value WDs of the distance temperature measuring points, wherein WDa is the average value of the average value WDaj of the distance temperature measuring points, comparing the dispersion value WDs with a preset temperature dispersion value WDy, if the distance dispersion value WDs is smaller than the preset temperature dispersion value WDy, indicating that the influence value of the distance of the temperature measuring equipment on the temperature detection of molten iron is smaller, and at the moment, combining the influence of the temperature value in the temperature interval of the molten iron when the cylinder sleeve is produced on the service life of the temperature detecting equipment, and finding the optimal distance of the temperature detecting point;
if the distance dispersion value WDs exceeds the preset temperature dispersion value WDy, the influence value of the distance of the temperature measuring equipment on the temperature detection of the molten iron is larger, at this time, a standard detection module is started, the standard value of the temperature of the molten iron at this time is obtained through the standard detection module, then the average value WDaj of each distance measuring point is compared through the temperature standard value, the average value of the closest distance measuring point is obtained, then the corresponding distance is obtained, and the distance is used as the optimal distance of the temperature detecting equipment.
5. The intelligent determination system for molten iron temperature for producing cylinder liners according to claim 4, characterized in that the means for obtaining the mean value of the distance temperature measuring points is as follows:
firstly extracting temperature information of a temperature detection module, then respectively acquiring the value of each distance temperature measuring point in different area temperature measuring points, and simultaneously marking the temperature values of different distance temperature measuring points in each area temperature measuring point as WDij, wherein i represents the area temperature measuring point, and j represents the distance temperature measuring point;
s2: selecting distance temperature measuring points, enabling j to be 1, obtaining a temperature value WDi1 of each area temperature measuring point, then carrying out average processing on the temperature value of each area temperature measuring point to obtain a temperature measuring point average WDa1 of the minimum position, and sequentially enabling j to be 2, 3, … … and j to obtain a temperature measuring point average WDaj of each distance.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310497967.4A CN116519164A (en) | 2023-05-06 | 2023-05-06 | Molten iron temperature intelligent measurement system for cylinder liner production |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310497967.4A CN116519164A (en) | 2023-05-06 | 2023-05-06 | Molten iron temperature intelligent measurement system for cylinder liner production |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116519164A true CN116519164A (en) | 2023-08-01 |
Family
ID=87407847
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310497967.4A Pending CN116519164A (en) | 2023-05-06 | 2023-05-06 | Molten iron temperature intelligent measurement system for cylinder liner production |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116519164A (en) |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108998608A (en) * | 2018-07-24 | 2018-12-14 | 中南大学 | A kind of blast furnace iron notch molten iron temperature measurement method and system based on infrared machine vision |
CN111020091A (en) * | 2019-12-20 | 2020-04-17 | 新冶高科技集团有限公司 | Visual online measurement system and temperature measurement method for blast furnace molten iron flow |
KR102268431B1 (en) * | 2020-12-09 | 2021-06-22 | 이용호 | a thermogram body temperature checking system and the data system using thereof |
CN115096448A (en) * | 2022-08-26 | 2022-09-23 | 深圳市景新浩科技有限公司 | Infrared temperature measurement system based on internet |
CN115423792A (en) * | 2022-09-21 | 2022-12-02 | 西安建筑科技大学 | Blast furnace molten iron temperature online detection method and system |
CN218969277U (en) * | 2022-12-27 | 2023-05-05 | 天合(无锡)仪器有限公司 | Multi-point infrared temperature measuring device for metallurgical blast furnace molten iron |
-
2023
- 2023-05-06 CN CN202310497967.4A patent/CN116519164A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108998608A (en) * | 2018-07-24 | 2018-12-14 | 中南大学 | A kind of blast furnace iron notch molten iron temperature measurement method and system based on infrared machine vision |
CN111020091A (en) * | 2019-12-20 | 2020-04-17 | 新冶高科技集团有限公司 | Visual online measurement system and temperature measurement method for blast furnace molten iron flow |
KR102268431B1 (en) * | 2020-12-09 | 2021-06-22 | 이용호 | a thermogram body temperature checking system and the data system using thereof |
CN115096448A (en) * | 2022-08-26 | 2022-09-23 | 深圳市景新浩科技有限公司 | Infrared temperature measurement system based on internet |
CN115423792A (en) * | 2022-09-21 | 2022-12-02 | 西安建筑科技大学 | Blast furnace molten iron temperature online detection method and system |
CN218969277U (en) * | 2022-12-27 | 2023-05-05 | 天合(无锡)仪器有限公司 | Multi-point infrared temperature measuring device for metallurgical blast furnace molten iron |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110066895B (en) | Stacking-based blast furnace molten iron quality interval prediction method | |
CN112001527B (en) | Industrial production process target data prediction method of multi-feature fusion depth neural network | |
CN104777830B (en) | A kind of multiple operating modes process monitoring method based on KPCA mixed models | |
CN109935280B (en) | Blast furnace molten iron quality prediction system and method based on ensemble learning | |
CN102581244B (en) | Online control system and control method for surface quality of continuous casting billet | |
CN104731083B (en) | A kind of industrial method for diagnosing faults and application based on self-adaptive feature extraction | |
CN111445444B (en) | Molten iron flow velocity detection method based on polarization characteristics | |
CN106441584A (en) | Converter roughing slag detection method based on infrared temperature measurement | |
CN104392213B (en) | A kind of image information state recognition system suitable for fusion process | |
CN104215334A (en) | Real-time online monitoring method of temperature of molten steel in RH refining furnace | |
CN116839650B (en) | Intelligent instrument verification system and method | |
CN102925602B (en) | Furnace profile maintenance method for blast furnace operation | |
CN104451037A (en) | Device and method for detecting temperature of RH refined liquid steel on line in real time | |
CN100353152C (en) | Method for monitoring temperature of rotary kiln barrel through infrared scanning | |
Jiang et al. | Polymorphic measurement method of FeO content of sinter based on heterogeneous features of infrared thermal images | |
CN117518982B (en) | Method and system for improving machining precision of machine tool | |
CN116519164A (en) | Molten iron temperature intelligent measurement system for cylinder liner production | |
CN116678368B (en) | BIM technology-based intelligent acquisition method for assembled steel structure data | |
CN115446276B (en) | Continuous casting steel leakage early warning method based on convolutional neural network recognition crystallizer copper plate V-shaped bonding characteristics | |
CN110918973B (en) | Crystallizer thermal image abnormal region marking method based on run | |
CN115074480A (en) | Method and system for improving processing quality of steel-making production | |
CN116310121A (en) | Digital twin system and method for slag skin of iron-making blast furnace | |
CN115147349A (en) | Method and device for determining smelting end point of converter, electronic equipment and storage medium | |
CN202639268U (en) | Online control system for surface quality of continuous casting billet | |
CN113325811B (en) | Online industrial process anomaly detection method based on memory and forgetting strategy |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |