CN113699307A - Intelligent charging control method of continuous charging electric arc furnace - Google Patents
Intelligent charging control method of continuous charging electric arc furnace Download PDFInfo
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- CN113699307A CN113699307A CN202111067066.9A CN202111067066A CN113699307A CN 113699307 A CN113699307 A CN 113699307A CN 202111067066 A CN202111067066 A CN 202111067066A CN 113699307 A CN113699307 A CN 113699307A
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- 238000010891 electric arc Methods 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000000463 material Substances 0.000 claims abstract description 80
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 78
- 239000010959 steel Substances 0.000 claims abstract description 78
- 238000003723 Smelting Methods 0.000 claims abstract description 23
- 238000003384 imaging method Methods 0.000 claims abstract description 19
- 230000000007 visual effect Effects 0.000 claims abstract description 7
- 230000003044 adaptive effect Effects 0.000 claims abstract 2
- 239000000155 melt Substances 0.000 claims 1
- 230000008901 benefit Effects 0.000 description 8
- 238000005265 energy consumption Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
- C21C5/52—Manufacture of steel in electric furnaces
- C21C5/527—Charging of the electric furnace
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
- C21C5/52—Manufacture of steel in electric furnaces
- C21C2005/5288—Measuring or sampling devices
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- 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
- Y02P10/00—Technologies related to metal processing
- Y02P10/20—Recycling
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- Chemical & Material Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
- Vertical, Hearth, Or Arc Furnaces (AREA)
- Refinement Of Pig-Iron, Manufacture Of Cast Iron, And Steel Manufacture Other Than In Revolving Furnaces (AREA)
- Furnace Charging Or Discharging (AREA)
Abstract
本发明涉及一种连续加料电弧炉的智能加料控制方法，属于冶金装备技术领域，首先确定废钢输送槽尺寸和设定激振器初始工作模式，然后通过视觉成像获取天车磁盘取料的种类和计算加入输送槽内废钢物料的重量，然后标定输送槽内废钢物料的行走速度，判断废钢物料所处输送槽内的位置，计算得到单位时间入炉废钢重量和累计入炉废钢物料的重量；然后采集检测电弧炉内的熔池大小和温度状态，进一步利用电弧炉智能加料控制系统对采集得到的数据进行运算判断下一步冶炼状态来调节天车磁盘取料的工作模式和废钢输送槽激振器的工作频率，达到自适应匹配加料的目的。
The invention relates to an intelligent feeding control method for a continuous feeding electric arc furnace, which belongs to the technical field of metallurgical equipment. First, the size of a scrap steel conveying trough is determined and the initial working mode of a vibration exciter is set, and then the type and amount of material reclaimed by a crane disk are obtained through visual imaging. Calculate the weight of the scrap material added to the conveying trough, then calibrate the running speed of the scrap material in the conveying trough, determine the position of the scrap material in the conveying trough, and calculate the weight of the scrap steel entering the furnace per unit time and the accumulated weight of the scrap steel entering the furnace; then Collect and detect the size and temperature state of the molten pool in the electric arc furnace, and further use the electric arc furnace intelligent feeding control system to perform operations on the collected data to determine the next smelting state to adjust the working mode of the crane disk reclaiming material and the scrap conveyor trough exciter The working frequency can achieve the purpose of adaptive matching feeding.
Description
Technical Field
The invention belongs to the technical field of metallurgical equipment, and relates to an intelligent charging control method of a continuous charging electric arc furnace.
Background
The continuous charging electric arc furnace has the advantages of no opening of the furnace cover, continuous charging of scrap steel, short smelting period, low energy consumption, less smoke discharge and the like, and is important metallurgical equipment for supporting the realization of energy structure transformation, the implementation of energy-saving and emission-reducing strategies, and the construction of resource-saving and environment-friendly society in China. The feeding of the scrap steel material of the existing continuous feeding electric arc furnace completely depends on the operation experience of workers to control the working frequency of a vibration exciter of a scrap steel conveying groove, so that the feeding speed of the scrap steel is changed, the great mismatching of the feeding speed of the scrap steel and the smelting state in the furnace is caused, the problems of long smelting period, low production benefit, high smelting energy consumption, large smoke discharge and the like are caused, and the performance advantage of the continuous feeding electric arc furnace cannot be exerted to the maximum energy efficiency.
Disclosure of Invention
In view of the above, the present invention provides an intelligent charging control method for a continuous charging electric arc furnace, which performs an intelligent charging operation by using a machine vision three-dimensional imaging combined with an intelligent charging control algorithm to adapt to a smelting state in an optimally matched electric arc furnace, thereby avoiding the problems of mismatching of scrap steel charging speed and the smelting state in the furnace, high smelting energy consumption and long smelting period caused by the operation of a traditional charging system depending on manual experience judgment.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent charging control method of a continuous charging electric arc furnace comprises the following steps:
s1: determining the size of the scrap steel conveying groove, and setting initial working modes of a material taking crown block and a scrap steel conveying groove vibration exciter;
s2: acquiring the type of the material taken by a crown block disk through visual imaging and calculating the weight of the scrap steel material added into the conveying groove;
s3: calibrating the traveling speed of the scrap steel material in the conveying groove, and further judging the position of the scrap steel material in the conveying groove;
s4: calculating to obtain the weight of the steel scrap fed into the furnace in unit time and the weight of the accumulated steel scrap fed into the furnace;
s5: collecting and detecting the size and temperature state of a molten pool in the electric arc furnace;
s6: and the acquired data is calculated by using an intelligent charging control system of the electric arc furnace to judge the smelting state of the next step so as to adjust the material taking working mode of a magnetic disc of the crown block and the working frequency of a vibration exciter of the scrap steel conveying groove and finish self-adaptive matched charging.
Further, in step S1, inputting size data of the scrap steel conveying trough into the intelligent feeding control system, where the size data includes the length, width, and height of the scrap steel conveying trough, and setting an initial working mode of material taking of a crown block disk and an initial working frequency of a vibration exciter of the conveying trough by the control system.
Further, in step S2, three-dimensional machine vision imaging is performed on the material hung from the crown block magnetic disk by using three industrial cameras in six directions, the type of the steel scrap hung from the crown block magnetic disk is determined, the volume of the material hung from a single time is calculated based on the three-dimensional imaging data, and the weight is calculated, wherein the weight estimation formula is as follows:
m＝ρV
wherein m is the weight of the steel scrap material once hung by the crown block magnetic disc, V is the volume of the steel scrap material hung by machine vision three-dimensional imaging, and rho is the bulk density of different types of steel scrap materials; the types of the scrap steel materials comprise light thin materials, medium thick materials and large materials.
Further, in step S3, calibrating the traveling speed of the scrap steel material in the conveying trough by using an industrial camera, and determining the traveling speed of the scrap steel material and the position of the scrap steel material in the conveying trough at the moment, wherein the speed calibration formula is as follows:
wherein v is the walking speed of the steel scrap material in the tank, delta l is the stroke length of the steel scrap material in a certain time, and delta t is the time corresponding to the stroke length of the steel scrap material.
Further, in step S4, the weight of the scrap entering the furnace per unit time and the weight of the accumulated scrap entering the furnace are estimated based on the disk pickup data and the speed calibration of the crown block, and the estimation formula of the weight of the scrap entering the furnace is as follows:
M＝Δm*v*t
wherein M is the weight of the charged scrap steel, Δ M is the weight of the charged scrap steel per unit cross-sectional area, v is the traveling speed of the scrap steel material, and t is the accumulated time of charging the scrap steel material.
Further, in step S5, the smelting state in the arc furnace is acquired based on the industrial camera visual imaging, including the size of the molten pool and the temperature data of the molten pool, and then the data of the size of the molten pool and the temperature of the molten pool are processed and transmitted to the intelligent charging control system.
Further, in step S6, the collected image and data are calculated by the intelligent charging control system of the electric arc furnace, and the next smelting state of the electric arc furnace is determined, so as to adjust the material-taking working mode of the magnetic disk of the overhead traveling crane and the working frequency of the vibration exciter of the scrap steel conveying trough, thereby achieving the purpose of self-adaptive matching charging.
The invention has the beneficial effects that:
(1) the technical scheme provided by the invention can acquire the material taking state of a magnetic disk of the crown block, the position of the scrap steel material in the conveying groove and the charging state of the scrap steel in real time based on machine vision three-dimensional imaging, and can also detect the molten pool state and the molten pool temperature in the electric arc furnace in real time, thereby greatly enriching the smelting information mastered by operators, adjusting the smelting strategy in real time and exerting the performance advantage of continuously charging the electric arc furnace with maximum energy efficiency.
(2) The intelligent feeding control system can adjust and control the working mode of material taking of a magnetic disc of the crown block and adaptively adjust the working frequency of a vibration exciter of the scrap steel conveying groove in real time, so that the best matching of the charging speed and the charging weight of the scrap steel and the smelting state in the electric arc furnace is realized, and the problems of high smelting energy consumption and long smelting period in the existing feeding method are solved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
Drawings
For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic flow chart of a method for controlling intelligent charging of a continuous charging electric arc furnace according to the present invention;
fig. 2 is a block diagram of information transmission and exchange between the machine vision imaging and the intelligent charging control system.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
Fig. 1 is a diagram of an intelligent charging control method of a continuous charging electric arc furnace, fig. 2 is a diagram of information transmission and exchange of a machine vision imaging and intelligent charging control system, and the method comprises the following steps:
1) determining the size (length multiplied by width multiplied by height) of the scrap steel conveying groove, and setting the initial working modes of a material taking crown block and a scrap steel conveying groove vibration exciter;
2) acquiring the type of the material taken by a crown block disk by using the visual imaging of an industrial camera and calculating the weight of the scrap steel material added into the conveying groove;
3) calibrating the traveling speed of the scrap steel material in the conveying groove, and further judging the position of the scrap steel material in the conveying groove;
4) calculating to obtain the weight of the steel scrap fed into the furnace in unit time and the weight of the accumulated steel scrap fed into the furnace;
5) collecting and detecting the size and the temperature state of a molten pool in the electric arc furnace by using an industrial camera;
6) the collected data are calculated by the intelligent charging control system of the electric arc furnace to judge the smelting state of the next step so as to adjust the material taking working mode of a magnetic disc of the crown block and the working frequency of a vibration exciter of the scrap steel conveying groove, and the purpose of self-adaptive matching charging is achieved.
In a preferred embodiment, the data of the size (length, width and height) of the scrap steel conveying trough is input into an intelligent feeding control system, and the control system sets the initial working mode of the crown block disk material taking and the initial working frequency of the conveying trough vibration exciter.
In another preferred embodiment, the industrial cameras 1, 2 and 3 in fig. 2 are used for carrying out three-dimensional machine vision imaging on the materials hoisted by the crown block disk in six directions, judging the types (light thin materials, medium thick materials and large materials) of the hoisted scrap steel materials, calculating the volume of the single hoisted material and calculating the weight based on three-dimensional imaging data, wherein the weight estimation method comprises the following steps:
m＝ρV
wherein m is the weight of the steel scrap material once hung by the crown block magnetic disc, V is the volume of the steel scrap material hung by the machine vision three-dimensional imaging, and rho is the bulk density of different types of steel scrap materials.
In another preferred embodiment, the traveling speed of the scrap steel material in the conveying trough is calibrated by using the No. 4 industrial camera in FIG. 2, and then the traveling speed of the scrap steel material and the position of the scrap steel material in the conveying trough at the moment are judged, wherein the speed calibration method comprises the following steps:
wherein v is the walking speed of the steel scrap material in the tank, delta l is the stroke length of the steel scrap material in a certain time, and delta t is the time corresponding to the stroke length of the steel scrap material.
In a preferred embodiment, the weight of the scrap entering the furnace per unit time and the weight of the accumulated scrap entering the furnace are calculated based on the disk material taking data and the speed calibration of the overhead travelling crane, and the method for estimating the weight of the scrap entering the furnace comprises the following steps:
M＝Δm*v*t
wherein M is the total weight of the charged scrap steel, Δ M is the weight of the charged scrap steel per unit cross-sectional area, v is the traveling speed of the scrap steel material, and t is the accumulated time of the charged scrap steel material.
In another preferred embodiment, the smelting state in the electric arc furnace is acquired by using the industrial camera 5 in the figure 2 for visual imaging, and the data of the size of the molten pool and the temperature of the molten pool are transmitted to the intelligent charging control system after being processed.
In another preferred embodiment, the acquired image and data are calculated by using an intelligent charging control system of the electric arc furnace, the next smelting state of the electric arc furnace is judged, and then the working mode of material taking of a magnetic disc of the crown block and the working frequency of a vibration exciter of the scrap steel conveying groove are adjusted, so that the purpose of self-adaptive matching charging is achieved.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (7)
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| CN202111067066.9A CN113699307B (en) | 2021-09-13 | 2021-09-13 | A kind of intelligent charging control method of continuous charging electric arc furnace |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115125363A (en) * | 2022-06-09 | 2022-09-30 | 北京同创信通科技有限公司 | Intelligent identification system and method for detecting batching in scrap steel hopper |
| CN116334348A (en) * | 2023-02-24 | 2023-06-27 | 中冶赛迪工程技术股份有限公司 | Automatic smelting control method of continuous charging electric arc furnace |
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| US20150030049A1 (en) * | 2012-01-23 | 2015-01-29 | Danieli Automation Spa | Method for managing the charge in a melting furnace and corresponding loading apparatus |
| CN109517941A (en) * | 2018-12-29 | 2019-03-26 | 中冶京诚工程技术有限公司 | Horizontal continuous feeding vertical type scrap steel preheating device and application thereof |
| CN111924713A (en) * | 2020-07-23 | 2020-11-13 | 大连宝信起重技术有限公司 | Intelligent control system and control method for electric furnace charging crane |
| CN113003231A (en) * | 2021-02-24 | 2021-06-22 | 中冶南方工程技术有限公司 | Automatic material taking decision method for scrap steel stock ground |
-
2021
- 2021-09-13 CN CN202111067066.9A patent/CN113699307B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150030049A1 (en) * | 2012-01-23 | 2015-01-29 | Danieli Automation Spa | Method for managing the charge in a melting furnace and corresponding loading apparatus |
| CN109517941A (en) * | 2018-12-29 | 2019-03-26 | 中冶京诚工程技术有限公司 | Horizontal continuous feeding vertical type scrap steel preheating device and application thereof |
| CN111924713A (en) * | 2020-07-23 | 2020-11-13 | 大连宝信起重技术有限公司 | Intelligent control system and control method for electric furnace charging crane |
| CN113003231A (en) * | 2021-02-24 | 2021-06-22 | 中冶南方工程技术有限公司 | Automatic material taking decision method for scrap steel stock ground |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115125363A (en) * | 2022-06-09 | 2022-09-30 | 北京同创信通科技有限公司 | Intelligent identification system and method for detecting batching in scrap steel hopper |
| CN115125363B (en) * | 2022-06-09 | 2023-10-20 | 北京同创信通科技有限公司 | Intelligent recognition system and method for detecting ingredients in scrap steel hopper |
| CN116334348A (en) * | 2023-02-24 | 2023-06-27 | 中冶赛迪工程技术股份有限公司 | Automatic smelting control method of continuous charging electric arc furnace |
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