CN113699307B - 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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- CN113699307B CN113699307B CN202111067066.9A CN202111067066A CN113699307B CN 113699307 B CN113699307 B CN 113699307B CN 202111067066 A CN202111067066 A CN 202111067066A CN 113699307 B CN113699307 B CN 113699307B
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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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- Materials Engineering (AREA)
- Metallurgy (AREA)
- Organic Chemistry (AREA)
- Vertical, Hearth, Or Arc Furnaces (AREA)
- Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
- Furnace Charging Or Discharging (AREA)
- Refinement Of Pig-Iron, Manufacture Of Cast Iron, And Steel Manufacture Other Than In Revolving Furnaces (AREA)
Abstract
The invention relates to an intelligent feeding control method of a continuous feeding electric arc furnace, belonging to the technical field of metallurgical equipment, and comprising the steps of firstly determining the size of a scrap steel conveying groove and setting the initial working mode of a vibration exciter, then obtaining the type of material taken by a magnetic disk of an overhead traveling crane through visual imaging and calculating the weight of the scrap steel material added into the conveying groove, then calibrating the walking speed of the scrap steel material in the conveying groove, judging the position of the scrap steel material in the conveying groove, and calculating to obtain the weight of the scrap steel charged into the furnace in unit time and the weight of the accumulated scrap steel charged into the furnace; and then collecting and detecting the size and the temperature state of a molten pool in the electric arc furnace, and further calculating and judging the next smelting state of the collected data by using an intelligent charging control system of the electric arc furnace to adjust the material taking working mode of a crown block disk and the working frequency of a vibration exciter of a scrap steel conveying groove so as to achieve the purpose of self-adaptive matching charging.
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 need of opening the furnace cover to continuously charge scrap steel, short smelting period, low energy consumption, less smoke discharge and the like, and is important metallurgical equipment for supporting the society of realizing energy structure transformation, implementing energy-saving and emission-reducing strategies and building resource-saving and environment-friendly society in China. The feeding of the existing continuous feeding electric arc furnace scrap steel material completely depends on the operation experience of workers to control the working frequency of the vibration exciter of the scrap steel conveying groove, so that the feeding speed of the scrap steel is changed, the condition that the feeding speed of the scrap steel is greatly not matched with 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 in 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 the temperature state of a molten pool in an 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 the step S1, size data of the scrap steel conveying trough is input into the intelligent feeding control system, the size data includes length, width and height of the scrap steel conveying trough, and 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 are set through the control system.
Further, in step S2, three-dimensional machine vision imaging in six directions is performed on the material hung from the disk of the crown block by using three industrial cameras, the type of the steel scrap hung is judged, the volume of the material hung at a single time is calculated based on 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 hung on the disk of the overhead travelling crane in one time, V is the volume of the steel scrap material hung on the disk of the overhead travelling crane in a machine vision three-dimensional imaging way, and rho is the bulk density of different steel scrap materials; the types of the scrap steel materials comprise light thin materials, medium thick materials and large materials.
Further, in the step S3, an industrial camera is used to calibrate the traveling speed of the steel scrap material in the conveying trough, and the traveling speed of the steel scrap material and the position of the steel scrap material in the conveying trough at the moment are determined, wherein the speed calibration formula is as follows:
wherein v is the walking speed of the scrap steel material in the tank, delta l is the stroke length of the scrap steel material in a certain time, and delta t is the time corresponding to the stroke length of the scrap steel 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 material taking 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 the charged scrap steel material.
Further, in the step S5, the smelting state in the arc furnace including the size of the molten pool and the temperature data of the molten pool is obtained based on the visual imaging of the industrial camera, and then the data of the size of the molten pool and the temperature data of the molten pool are processed and transmitted to the intelligent charging control system.
Further, in the step S6, the collected image and data are operated by the intelligent charging control system of the electric arc furnace, and the next smelting state of the electric arc furnace is judged, so that the working mode of material taking of the magnetic disk of the overhead travelling crane and the working frequency of the vibration exciter of the scrap steel conveying trough are adjusted, and the purpose of self-adaptive matching charging is achieved.
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 in real time and adaptively adjust the working frequency of a vibration exciter of the scrap steel conveying groove, so that the best matching of the feeding speed and the feeding 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 conventional 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 will be realized and attained by the structure particularly pointed out in the written description and claims thereof.
Drawings
For a better understanding of the objects, aspects and advantages of the present 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 an intelligent charging control method for 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 illustration only and not for the purpose of limiting the invention, shown in the drawings are schematic representations and not in the form of actual drawings; for a better explanation of 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 the terms "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 intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, 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 described above will be understood by those skilled in the art according to the specific circumstances.
Fig. 1 is an intelligent charging control method of a continuous charging electric arc furnace according to the present invention, and fig. 2 is a block diagram of information transmission and exchange of a machine vision imaging and intelligent charging control system according to the present invention, including the following steps:
1) Determining the size (length, width and height) of the scrap steel conveying groove, and setting initial working modes of a material taking crown block and a vibration exciter of the scrap steel conveying groove;
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 an intelligent charging control system of the electric arc furnace to judge the next smelting state so as to adjust the material taking working mode of a crown block disk and the working frequency of a vibration exciter of a scrap steel conveying groove, thereby achieving the purpose of self-adaptive matching charging.
In a preferred embodiment, the dimension (length x width x height) data of the scrap steel conveying trough is input into an intelligent feeding control system, and the control system sets an initial operating mode of material taking of a magnetic disk of the overhead travelling crane and an initial operating frequency of a vibration exciter of the conveying trough.
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 scrap steel material hung on the disk of the crown block once, V is the volume of the scrap steel material hung on the disk of the crown block through machine vision three-dimensional imaging, and rho is the bulk density of different types of scrap steel 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 scrap steel material in the tank, delta l is the stroke length of the scrap steel material in a certain time, and delta t is the time corresponding to the stroke length of the scrap steel 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 (1)
1. An intelligent charging control method of a continuous charging electric arc furnace is characterized in that: the method 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 vibration exciter of the scrap steel conveying groove; inputting size data of the scrap steel conveying groove into an intelligent feeding control system, wherein the size data comprises the length, the width and the height of the scrap steel conveying groove, 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 groove through the control system;
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; three industrial cameras are used for carrying out three-dimensional machine vision imaging in six directions on materials hung on a crown block disk, the types of the hung scrap steel materials are judged, the volume of the materials hung at a single time is calculated based on 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;
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; the method comprises the following steps of calibrating the traveling speed of the waste steel materials in the conveying groove by utilizing an industrial camera, judging the traveling speed of the waste steel materials and the position of the waste steel materials in the conveying groove, wherein the speed calibration formula is as follows:
wherein v is the walking speed of the waste steel material in the tank, delta l is the stroke length of the waste steel material in a certain time, and delta t is the time corresponding to the stroke length of the waste steel material;
s4: and calculating the weight of the charged scrap steel in unit time and the accumulated weight of the charged scrap steel based on the disk material taking data and the speed calibration of the crown block, wherein the weight estimation formula of the charged scrap steel is as follows:
M＝Δm*v*t
wherein M is the weight of the charged waste steel, delta M is the weight of the charged waste steel in unit cross section area, v is the traveling speed of the waste steel material, and t is the accumulated charging time of the waste steel material;
s5: collecting and detecting the size and the temperature state of a molten pool in an electric arc furnace; acquiring a smelting state in the electric arc furnace based on industrial camera visual imaging, wherein the smelting state comprises molten pool size and molten pool temperature data, and transmitting the molten pool size and the molten pool temperature data to an intelligent charging control system after processing;
s6: the collected images 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 overhead travelling crane 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.
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| CN109517941B (en) * | 2018-12-29 | 2024-03-01 | 中冶京诚工程技术有限公司 | Horizontal continuous feeding vertical 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 |
| CN113003231B (en) * | 2021-02-24 | 2023-02-28 | 中冶南方工程技术有限公司 | Automatic material taking decision method for scrap steel stock ground |
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