CN111593151B - On-line detection method for depth of blast furnace tap hole - Google Patents
On-line detection method for depth of blast furnace tap hole Download PDFInfo
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- CN111593151B CN111593151B CN202010367421.3A CN202010367421A CN111593151B CN 111593151 B CN111593151 B CN 111593151B CN 202010367421 A CN202010367421 A CN 202010367421A CN 111593151 B CN111593151 B CN 111593151B
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- matching
- blast furnace
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- baffle
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Classifications
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/006—Automatically controlling the process
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/12—Opening or sealing the tap holes
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B7/00—Blast furnaces
- C21B7/24—Test rods or other checking devices
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B2300/00—Process aspects
- C21B2300/04—Modeling of the process, e.g. for control purposes; CII
Abstract
The invention discloses a blast furnace tapping hole depth online detection method which comprises the following steps: installing an imaging device and an illuminating device at a blast furnace taphole; acquiring an original video image of a blast furnace taphole state by using an imaging technology; starting a thread, and calling a grab function to read a picture by taking T as a cycle; executing an image processing function, analyzing the stored image, calling a template matching algorithm, and performing template matching on a pre-prepared matching image and the current read image to obtain a matching result; judging a threshold value of a calculation result; calculating a matching result meeting a threshold; converting the x-axis coordinate of the baffle into the actual baffle moving distance; calculating the moving distance of the tapping machine to the taphole according to the actual moving distance of the baffle; and obtaining the actual depth of the iron notch through data observation. The invention can solve the problem of potential safety hazard caused by abnormal condition of the blast furnace due to inaccurate depth detection of the open iron before the blast furnace ironmaking.
Description
Technical Field
The invention relates to the technical field of blast furnace ironmaking, in particular to a method for detecting the depth of open iron on line before blast furnace ironmaking.
Background
The tapping hole depth before blast furnace ironmaking is a key index for evaluating the maintenance quality of the tapping hole, and the tapping hole depth is too shallow, so that the phenomena of poor tapping iron of the blast furnace, abnormal furnace conditions of the tapping iron and even the safety accident of the running of molten iron can be caused; the deep tapping hole wastes stemming consumption to increase iron making cost, and the tapping hole is difficult to open due to insufficient drill rod length to influence tapping speed. However, the current stokehold workers' judgment on the depth of the taphole stays in sensory understanding, namely, operators estimate the depth of the taphole by experience, data of the taphole depth cannot be objectively reflected, and the historical data cannot be traced to analyze the normal working state of the taphole. There is a need to develop an accurate, data-based, traceable method for detecting the depth of a taphole, which automatically records the depth of each taphole opening and is in a digital form for inquiry and tracing.
Disclosure of Invention
The invention aims to provide an online detection method for the depth of a blast furnace tapping hole, which aims to solve the problem of potential safety hazard caused by abnormal conditions of an iron furnace due to inaccurate depth detection of tapping iron before the existing blast furnace ironmaking.
In order to solve the problems, the technical scheme of the invention is as follows: the blast furnace taphole depth online detection method comprises the following steps:
step A, installing an imaging device and an illuminating device at a blast furnace taphole, and adjusting and setting the position of a camera according to the taphole to be detected and the surrounding environment;
b, acquiring an original video image of the state of the blast furnace taphole by using an imaging technology;
step C, starting a thread, and calling a capture function to store the read picture in a local disk by taking T as a period;
step D, executing an image processing function, analyzing the stored image, calling a template matching algorithm, and performing template matching on a pre-prepared matching image and the current read image to obtain a matching result;
step E, performing threshold judgment on the calculation result, wherein the judgment comprises the matching degree, and the abscissa and the ordinate need to meet specific conditions;
step F, calculating a matching result meeting a threshold value, and calculating an x-axis coordinate of the baffle;
g, converting the x-axis coordinate of the baffle into the actual baffle moving distance;
step I, calculating the moving distance of the tapping machine to the taphole according to the actual moving distance of the baffle;
and step J, storing the calculated data into a database, and obtaining the actual depth of the iron notch through data observation.
In the above technical solution, a more specific solution may be: and B, the imaging technology in the step B is a library file provided for the Haekwondo software development kit, and the library file is used for calling a camera login function to open the camera.
Further: the period T =1 second in step C.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following beneficial effects:
the blast furnace taphole depth on-line detection method adopts an installation imaging device to collect an original video image of a blast furnace taphole state; storing the acquired original video image to a local server, and carrying out data analysis processing on the original video image to obtain an analysis result; the method comprises the steps of periodically reading video images and storing the video images into a local disk, calling an image processing function to analyze the stored images, positioning the position of a tapping machine by a template matching algorithm, calculating and converting the matched coordinates into actual distances to obtain tapping depth, storing data, and obtaining an accurate tapping depth result in real time to enable iron making to be smoothly carried out.
Detailed Description
The following examples are provided for further details of the invention:
the blast furnace taphole depth on-line detection method comprises the following steps:
step A, installing an imaging device and an illuminating device at a blast furnace taphole, and adjusting and setting the position of a camera according to the taphole to be detected and the surrounding environment; the installation camera needs to avoid environmental influences such as dust, light and the like as far as possible.
B, the software is developed by using Python language, a camera reads an image by using a Haekawing network camera, the Haekawing provides a development document and a library file, an interface function of a dll file provided by the Haekawing is called by using an external library ctypes of Python, and functions mainly required to be called comprise initialization, login, logout and grapple functions; and loading the library file, calling an initialization function to initialize the software development tool, and calling a camera login function to complete login.
And step C, starting a thread, calling a capture function every 1 second to store the read picture in a local disk, calling a video monitoring DLL file to log in a camera and read video information, or obtaining an original video image of the state of the blast furnace taphole.
Step D, executing an image processing function, analyzing the stored image, calling a template matching algorithm, and performing template matching on a pre-prepared matching image and the current read image to obtain a matching result;
the original image is cut into R, G, B three channels, each channel is endowed with a corresponding weight, each channel calls a normalized square error matching method algorithm to carry out matching to calculate a matching result, the matching result is multiplied by the corresponding weight, and then the calculation results of the three channels are added to obtain a final matching result.
Wherein T (x, y) is an image block to be compared with an original image; i (x, y) is the target image; r (x, y) is a function used to describe the similarity.
And analyzing the final matching result, taking out the maximum value of the matching value and the coordinate position of the maximum value, and calculating the coordinate of the matching center point by combining the width and height calculation of the matching template image and the matching coordinate.
And finally, returning the matching value, the central coordinate point and the matching rectangular coordinate as a matching result to a result analysis function.
Step E, threshold judgment is carried out on the calculation result, the judgment comprises the matching degree, and the abscissa and the ordinate need to meet specific conditions;
firstly, judging a threshold value of a matching result, wherein the threshold value needing to be judged comprises a matching value, a central point abscissa x and a central point ordinate y, and when the data meets one of the following conditions, the data is not processed and an image processing function is skipped out:
match value <60%, x-coordinate <600, 3, abs (predict _ y-y) >30 (since the moving track of the opener is a straight line, predict _ y is a vertical coordinate predicted by the horizontal coordinate x to determine whether the current center point is on a straight line, predict _ y can be calculated from predict _ y = x (-0.194) +859 and check whether the absolute value of the difference with y exceeds 30).
F, calculating a matching result meeting a threshold value, and calculating an x-axis coordinate of the baffle;
when the matching result passes the threshold determination, the matching coordinate is converted into the horizontal coordinate of the baffle, and the horizontal coordinate x of the matching coordinate is substituted into a linear equation formed by the horizontal coordinate of the matching point and the horizontal coordinate of the baffle to obtain the horizontal coordinate x _ board =0.769 × x-269.38 of the baffle.
And G, converting the calculated transverse coordinate x _ board of the baffle into the actual movement distance of the baffle.
Step I, listing a corresponding segmentation formula by a distance scale calibrated on site and substituting x _ board to obtain the actual distance of the baffle plate.
And step I, storing the calculated data into a database, and observing the data to obtain the actual depth of the iron notch at this time.
if(x_board in range(300,473)):
distance _db = x_board/340-0.367
elif(x_dangban in range(473,660)):
distance _db = x_board/374-0.2647
elif(x_boardin range(660,861)):
distance _db = x_board/398-0.1582
elif(x_boardin range(861,1077)):
distance _db = x_board/432-0.04
elif(x_boardin range(1077,1307)):
distance distance db = x_board/460-0.1587
The initial distance from the opener to the baffle was 4.72 meters, which gives:
depth =4.72 distance _ board;
and storing the calculated results of the depth, time, matching value, coordinates and the like of the iron notch into a database.
And analyzing and processing the data to obtain the information of the iron times, the iron notch opening time, the iron notch blocking time, the iron notch depth and the like, and displaying the information on the front end page of the stokehole information platform.
The invention uses the online monitoring system to realize the online monitoring of the iron slag discharged in front of the blast furnace, and the online monitoring system adopted by the invention comprises the following components: the method comprises the following steps: the system comprises an imaging device, a field control box, a video image acquisition module, an image acquisition station, an image processing module, a display module and the like.
The invention utilizes the network video signal to carry out secondary development, utilizes the login interface to receive the IP address, the equipment port, the user name, the password and the channel content of the imaging device, and returns the user ID after executing the login function, thereby showing that the login is successful.
And after the login is successful, the creating thread regularly calls the grappling interface to generate the picture, and calls the image processing function to process the picture information.
Claims (3)
1. A blast furnace tapping hole depth on-line detection method is characterized by comprising the following steps:
step A, installing an imaging device and an illuminating device at a blast furnace taphole, and adjusting and setting the position of a camera according to the taphole to be detected and the surrounding environment;
b, acquiring an original video image of the state of the blast furnace taphole by using an imaging technology;
step C, starting a thread, and calling a capture function to store the read picture in a local disk by taking T as a period;
step D, executing an image processing function, analyzing the stored image, calling a template matching algorithm, and performing template matching on a pre-prepared matching image and the current read image to obtain a matching result; dividing the original image into R, G, B three channels, giving a corresponding weight to each channel, calling a normalized square error matching algorithm for matching by each channel to calculate a matching result, multiplying the matching result by the corresponding weight, and adding the calculation results of the three channels to obtain a final matching result;
wherein T (x, y) is an image block to be compared with an original image; i (x, y) is the target image; r (x, y) is a function used to describe similarity; analyzing the final matching result, taking out the maximum value of the matching value and the coordinate position of the maximum value, and calculating the coordinate of the matching center point by combining the width and height calculation of the matching template image with the matching coordinate; finally, the matching value, the central coordinate point and the matching rectangular coordinate are used as matching results and are transmitted back to a result analysis function;
and E, performing threshold judgment on the calculation result, wherein the judgment comprises the matching degree, and the abscissa and the ordinate need to meet the following conditions: the matching value is less than 60%, the abscissa is less than 600, and the moving track of the center point of the tapping machine is a straight line;
step F, calculating a matching result meeting a threshold value, and calculating an x-axis coordinate of the baffle; converting the matching coordinate into a baffle plate abscissa, and substituting the abscissa of the matching coordinate into a linear equation formed by the abscissa of the matching point and the abscissa of the baffle plate to obtain the abscissa of the baffle plate;
g, converting the x-axis coordinate of the baffle into the actual baffle moving distance;
step I, calculating the moving distance of the tapping machine to the taphole according to the actual moving distance of the baffle;
and step J, storing the calculated data into a database, and obtaining the actual depth of the iron notch through data observation.
2. The on-line detection method for the blast furnace tap hole depth according to claim 1, characterized in that: and B, the imaging technology in the step B is a library file provided for the Haekwondo software development kit, and the library file is used for calling a camera login function to open the camera.
3. The on-line detection method for the blast furnace tap hole depth according to claim 1 or 2, characterized in that: the period T =1 second in step C.
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112257590B (en) * | 2020-10-22 | 2023-08-01 | 中冶南方工程技术有限公司 | Automatic detection method, system and storage medium for working state of blast furnace tap hole |
| CN112501367A (en) * | 2020-11-17 | 2021-03-16 | 中冶南方工程技术有限公司 | Method and system for quantitatively estimating content of silicon and sulfur in molten iron during blast furnace tapping |
| CN112813210B (en) * | 2021-02-01 | 2022-08-23 | 山西新泰钢铁有限公司 | Method for detecting iron notch depth by using iron notch drill |
| CN114774605B (en) * | 2022-03-15 | 2023-06-13 | 中南大学 | Intelligent forecasting device for blast furnace iron notch blocking time |
| CN115612765B (en) * | 2022-10-14 | 2023-05-26 | 合肥视展光电科技有限公司 | Real-time detection control method and system for blast furnace tapping state |
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