CN112257590A - Automatic detection method and system for working state of blast furnace taphole and storage medium - Google Patents
Automatic detection method and system for working state of blast furnace taphole and storage medium Download PDFInfo
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Abstract
The invention relates to the field of metallurgy automation, and discloses a method, a system and a storage medium for automatically detecting the working state of a blast furnace taphole, wherein the method comprises the following steps: an infrared camera and a visible light camera are arranged at the position opposite to the iron notch for image acquisition; collecting an image in a visible light camera, and identifying the position of a tapping machine and a mud bubble in the visible light image; collecting an image in an infrared camera, calibrating a taphole position in the infrared camera, and identifying the temperature of the taphole position; the relative position of the tapping machine and the taphole is detected through image recognition, the temperature of the taphole position is detected, the time of starting operation of the tapping machine, the time of opening the taphole, the time of plugging the taphole, the time of slag formation in the taphole and the like can be accurately recorded, and therefore the tapping condition of the blast furnace is managed in real time.
Description
Technical Field
The invention belongs to the technical field of metallurgy automation, and particularly relates to an automatic detection method, system and storage medium for a working state of a blast furnace taphole.
Background
In the iron and steel industry, the tapping management of a blast furnace is an important component in the daily operation of the blast furnace, and the uniformity of tapping time and the early and late slag viewing time are important marks for judging whether the operation of a tap hole of the blast furnace is normal or not, so that the automatic identification of the tapping time is the basis of the production automation and management informatization of enterprises.
At present, the method of recording the time of tapping, blocking and slag finding in the iron works is adopted for manual judgment, and then the corresponding time is input on a computer. The problems of inaccurate recording time and the like are caused by the fact that the work rhythm on the blast furnace is fast, a plurality of things are available, and the recording can not be carried out at the first time.
The automatic detection of the state of the taphole is derived from pattern recognition, which is a specific application of computer vision technology in various industries. Computer vision is the replacement of visual organs with various imaging systems as input information. The processing and interpretation is done by a computer instead of the brain. The ultimate goal of computer vision is to study the ability of computers to perceive and understand the world like humans, with autonomous environmental adaptation. At present, computer vision application scenes in iron and steel enterprises are more and more, the labor cost of the enterprises is reduced in different degrees, and the timeliness of information is also ensured. However, the conventional image technology needs to design a large amount of manual features, some features may be blocked by some objects and machines in a complex production environment, so that the problem of low recognition rate is caused, and how to overcome the defects of the prior art is a problem which needs to be solved urgently in the technical field of metallurgy automation at present.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to provide an automatic detection method, system and storage medium for the working state of a blast furnace taphole, which realize the automatic recording of tapping time and slag observing time, improve the accuracy and reduce the manpower.
In order to achieve the aim, the invention provides an automatic detection method for the working state of a blast furnace taphole, which comprises the following steps:
s1: an infrared camera and a visible light camera are arranged at the position opposite to the iron notch for image acquisition;
s2: collecting an image in a visible light camera, and identifying the position of a tapping machine and a mud bubble in the visible light image;
s3: collecting an image in an infrared camera, calibrating a taphole position in the infrared camera, and identifying the temperature of the taphole position;
s4: when the tapping machine is detected to rotate to the position of the taphole, the tapping machine is considered to start tapping, and the current time is recorded as the tapping machine operation starting time;
s5: detecting the temperature of the iron notch position after detecting that the tapping machine leaves the iron notch position;
s6: temperature determination from the taphole position in step S5: if the temperature of the position of the iron notch rises to a first threshold interval of iron flow flowing, the iron notch is considered to be opened, the current time is recorded as the opening time of the iron notch, and the difference value between the starting operation time of the tapping machine and the opening time of the iron notch is calculated, wherein the difference value is the iron notch opening duration;
s7: when the fact that the mud gun rotates to the taphole position is detected, storing the time at the moment, and when the mud gun leaves the taphole position after a period of time, detecting the temperature of the taphole position;
s8: temperature determination from the taphole position in step S7: if the temperature of the position of the taphole is reduced to a second threshold interval of the solidification of the iron flow, the taphole is considered to be blocked, and the time stored in the step S7 is recorded as the taphole blocking time;
s9: and extracting a visible light image of the slag runner position, carrying out color detection on the visible light image, and recording the current time as the slag-observing time of the taphole when the whole slag runner is changed into red or red-yellow composite color.
Further, in the step S2, the image of the visible light camera is collected, and the position of the shedding machine and the position of the mud bubble in the visible light image are identified through the trained YOLO neural network.
Furthermore, the image acquisition range of the visible light camera covers the tapping machine of the taphole, the working position of the mud bubble and the whole slag runner.
Further, the first threshold interval is 1200-1500 ℃.
Further, the second threshold interval is below 1000 ℃.
In order to achieve the above object, the present invention further provides an automatic detection system for the working state of a blast furnace taphole, which is characterized in that: the system comprises an infrared camera, a visible light camera and a server;
the visible light camera and the infrared camera are arranged at positions right opposite to the iron notch and used for monitoring the actions of iron flow and related equipment, collecting video flow and sending the video flow to the server;
the server runs a computer program, and the computer program is used for executing the automatic detection method of the working state of the blast furnace taphole.
In order to achieve the above object, the present invention further provides a non-volatile storage medium of a computer, which stores a computer program for executing the automatic detection method of the working state of the blast furnace taphole.
The technical effects are as follows:
the invention provides a method for automatically detecting the working state of a blast furnace taphole, which adopts a mode of combining image recognition technology and process knowledge to realize automatic recording of tapping time and slag finding time, improves the accuracy and reduces the manpower.
Drawings
FIG. 1 is a flow chart of the automatic detection method for the working state of the blast furnace taphole.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures. Elements in the figures are not drawn to scale and like reference numerals are generally used to indicate like elements.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The invention discloses an automatic detection method for the working state of a blast furnace taphole,
the method comprises the following steps:
s1: an infrared camera and a visible light camera are arranged at the position opposite to the iron notch for image acquisition;
s2: collecting an image in a visible light camera, and identifying the position of a tapping machine and a mud bubble in the visible light image;
s3: collecting an image in an infrared camera, calibrating a taphole position in the infrared camera, and identifying the temperature of the taphole position;
s4: when the tapping machine is detected to rotate to the position of the taphole, the tapping machine is considered to start tapping, and the current time is recorded as the tapping machine operation starting time t1；
S5: detecting the temperature of the iron notch position after detecting that the tapping machine leaves the iron notch position;
s6: temperature determination from the taphole position in step S5: if the temperature of the iron notch position rises to a first threshold interval of iron flow flowing, the iron notch is considered to be opened, and the current time is recorded as the opening time t of the iron notch2And calculating the time t for starting operation of the tapping machine1Time t to opening of taphole2The difference value of (a), which is the tapping time length;
s7: when the fact that the mud gun rotates to the taphole position is detected, storing the time at the moment, and when the mud gun leaves the taphole position after a period of time, detecting the temperature of the taphole position;
s8: temperature determination from the taphole position in step S7: if the temperature of the position of the iron notch is reduced to a second threshold interval of the solidification of the iron flow, the iron notch is deemed to be blocked, and the time stored in the step S7 is recorded as the iron notch blocking time t3；
S9: extracting visible light image of slag runner position, detecting its color, when the whole slag runner is changed into red or red-yellow composite colorAnd finally, considering that the slag is seen from the taphole, and recording the current time as the slag-seen time t of the taphole4。
Preferably, in step S2, the image of the visible light camera is captured, and the locations of the shedding machine and the mud bubble in the visible light image are identified through a trained YOLO neural network.
Before the automatic detection of the working state of the blast furnace taphole is executed, the neural network training and the position calibration of image recognition need to be performed, as shown in fig. 1, the method comprises the following steps:
collecting a large number of visible light images, calibrating the positions of a tapping machine, a mud gun and a taphole, and making into a data set;
constructing a neural network such as YOLO and the like, and performing neural network training by using the data set;
and acquiring an infrared image, and calibrating the position of the blast furnace taphole in an infrared camera.
After the preparation work is finished, the automatic detection of the working state of the blast furnace taphole is carried out, the action and the temperature of relevant parts are detected by utilizing a neural network and an infrared camera, and the time point when the requirements are met is recorded.
Preferably, the image acquisition range of the visible light camera covers the tapping machine of the taphole, the working position of the mud bubble and the whole slag runner, so that the monitoring of the taphole of the blast furnace can be completed through a single visible light camera.
Preferably, the first threshold range is 1200-.
Further, the second threshold interval is below 1000 ℃, and in this temperature interval, the iron flow is in a non-fluid state.
The invention also provides an automatic detection system for the working state of the blast furnace taphole, which is characterized in that: the system comprises an infrared camera, a visible light camera and a server;
the visible light camera and the infrared camera are arranged at positions right opposite to the iron notch and used for monitoring the action of iron flow and related equipment, collecting images and sending the images to the server;
the server runs a computer program for executing the automatic detection method of the working state of the blast furnace taphole.
The computer program is stored in a computer nonvolatile storage medium, the computer nonvolatile storage medium may be a mechanical hard disk, a solid state disk, an on-board Flash memory, an external usb disk, an optical disk, or the like in a local server or a cloud server, and the computer program may be invoked and run by at least one processor in the local server (e.g., an industrial personal computer system) or the cloud server, such as the above-mentioned automatic detection method for the working state of the blast furnace taphole.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. An automatic detection method for the working state of a blast furnace taphole is characterized by comprising the following steps:
s1: an infrared camera and a visible light camera are arranged at the position opposite to the iron notch for image acquisition;
s2: collecting an image in a visible light camera, and identifying the position of a tapping machine and a mud bubble in the visible light image;
s3: collecting an image in an infrared camera, calibrating a taphole position in the infrared camera, and identifying the temperature of the taphole position;
s4: when the tapping machine is detected to rotate to the position of the tap hole, the tapping machine is considered to start tapping, and the current time is recorded as the time for the tapping machine to start operating;
s5: detecting the temperature of the iron notch position after detecting that the tapping machine leaves the iron notch position;
s6: temperature determination from the taphole position in step S5: if the temperature of the position of the iron notch rises to a first threshold interval of iron flow flowing, the iron notch is considered to be opened, the current time is recorded as the opening time of the iron notch, and the difference value between the starting operation time of the tapping machine and the opening time of the iron notch is calculated, wherein the difference value is the iron notch opening duration;
s7: when the fact that the mud gun rotates to the taphole position is detected, storing the time at the moment, and when the mud gun leaves the taphole position after a period of time, detecting the temperature of the taphole position;
s8: temperature determination from the taphole position in step S7: if the temperature of the position of the taphole is reduced to a second threshold interval of the solidification of the iron flow, the taphole is considered to be blocked, and the time stored in the step S7 is recorded as the taphole blocking time;
s9: and extracting a visible light image of the slag runner position, carrying out color detection on the visible light image, judging that the slag is seen from the taphole when the whole slag runner is changed into red or red-yellow composite color, and recording the current time as the slag-finding time of the taphole.
2. The method for automatically detecting the working state of the blast furnace taphole according to claim 1, characterized in that: in S2, the image of the visible light camera is collected, and the positions of the shedding machine and the mud bubble in the visible light image are identified through the trained YOLO neural network.
3. The method for automatically detecting the working state of the blast furnace taphole according to claim 1, characterized in that: the image acquisition range of the visible light camera covers the tapping machine of the taphole, the working position of the mud bubble and the whole slag runner.
4. The method for automatically detecting the working state of the blast furnace taphole according to claim 1, characterized in that: the first threshold interval is 1200-1500 ℃.
5. The method for automatically detecting the working state of the blast furnace taphole according to claim 1, characterized in that: the second threshold interval is below 1000 ℃.
6. The utility model provides an automatic check out system of blast furnace taphole operating condition which characterized in that: the system comprises an infrared camera, a visible light camera and a server;
the visible light camera and the infrared camera are arranged at positions right opposite to the iron notch and used for monitoring the iron flow and the action of related equipment, acquiring images and sending the images to the server;
the server runs a computer program for executing the method for automatically detecting the working state of the blast furnace taphole according to any one of claims 1 to 5.
7. A computer non-volatile storage medium, characterized in that a computer program is stored, said computer program being adapted to perform the method of automatic detection of the working condition of a blast furnace taphole according to any of the claims 1-5.
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| CN202011138001.4A CN112257590B (en) | 2020-10-22 | 2020-10-22 | Automatic detection method, system and storage medium for working state of blast furnace tap hole |
| PCT/CN2021/101693 WO2022083155A1 (en) | 2020-10-22 | 2021-06-23 | Method and system for automatically detecting operation state of blast furnace taphole, and storage medium |
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| CN202011138001.4A CN112257590B (en) | 2020-10-22 | 2020-10-22 | Automatic detection method, system and storage medium for working state of blast furnace tap hole |
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Cited By (3)
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| CN114187280A (en) * | 2021-12-14 | 2022-03-15 | 重庆赛迪奇智人工智能科技有限公司 | Method and device for detecting iron receiving state |
| WO2022083155A1 (en) * | 2020-10-22 | 2022-04-28 | 中冶南方工程技术有限公司 | Method and system for automatically detecting operation state of blast furnace taphole, and storage medium |
| CN115612765A (en) * | 2022-10-14 | 2023-01-17 | 合肥视展光电科技有限公司 | Real-time detection control method and system for state of blast furnace taphole |
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| CN115074473A (en) * | 2022-06-17 | 2022-09-20 | 马鞍山钢铁股份有限公司 | Remote intelligent maintenance system and method for mud beating mechanism |
| CN115541030B (en) * | 2022-09-21 | 2024-02-27 | 中冶南方工程技术有限公司 | Method and device for identifying blast furnace top charge level temperature distribution and storage medium |
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| CN115612765A (en) * | 2022-10-14 | 2023-01-17 | 合肥视展光电科技有限公司 | Real-time detection control method and system for state of blast furnace taphole |
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