CN113112460A - Tamping coke oven coal cake height detection method based on image processing - Google Patents

Tamping coke oven coal cake height detection method based on image processing Download PDF

Info

Publication number
CN113112460A
CN113112460A CN202110335826.3A CN202110335826A CN113112460A CN 113112460 A CN113112460 A CN 113112460A CN 202110335826 A CN202110335826 A CN 202110335826A CN 113112460 A CN113112460 A CN 113112460A
Authority
CN
China
Prior art keywords
tamping
image
height
hammer
coal cake
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
Application number
CN202110335826.3A
Other languages
Chinese (zh)
Inventor
陈勇波
钱艳萍
李雄
夏旭曲
陈明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Qianmeng Industrial Intelligent System Co ltd
Original Assignee
Hunan Qianmeng Industrial Intelligent System Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hunan Qianmeng Industrial Intelligent System Co ltd filed Critical Hunan Qianmeng Industrial Intelligent System Co ltd
Priority to CN202110335826.3A priority Critical patent/CN113112460A/en
Publication of CN113112460A publication Critical patent/CN113112460A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/70Denoising; Smoothing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/254Analysis of motion involving subtraction of images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/28Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Geometry (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention aims to provide a tamping coke oven coal cake height detection method based on image processing. The angle correction is carried out on the cameras by arranging a plurality of groups of cameras and combining the field tamping condition, so that the highest position of the tamping hammer does not exceed the upper edge position of the image visual field during the final tamping; acquiring an image in real time, carrying out binarization processing on the image by using inter-frame difference, and marking the running track of a tamping hammer in the image; then carrying out algorithm matching on a drum ramming hammer rule model, and finding out the line number of the top end of the drum ramming hammer in the image; the height actually corresponding to the top end of the tamping hammer in the image is calculated according to the number of rows, the sum of the height of the tamping briquette at the bottom of the camera and the height of the top end of the tamping hammer in the image is the total height of the tamping briquette, and the integral operation is convenient and rapid.

Description

Tamping coke oven coal cake height detection method based on image processing
Technical Field
The invention relates to high measurement and detection in a coking production process of tamping coal, in particular to a tamping coke oven coal cake height detection method based on image processing.
Background
Through a large amount of market research and research in the early stage, the people know that the height of the tamped coal cake cannot be accurately measured and recorded in the coal cake tamping process of the current coking production process, more times, the height is directly judged by experience, the height measuring precision is not guaranteed, the tamping height of the coal cake is not well mastered, the quality of produced coke is not guaranteed, and the production benefit and the production cost of an enterprise are influenced to a great extent.
According to the field situation, the method for detecting the height of the coal cake of the tamping coke oven based on image processing can detect the coal cake completion height when the coal cake is tamped, provides reference for an operator, obtains the final coal cake height data after tamping is completed, and records the final coal cake height data in a system.
The method adopts a mature digital image processing technology, a plurality of high-definition cameras (generally 8 groups of high-definition cameras) are horizontally arranged on a tamping station, real-time image data acquisition is carried out on the motion process of a tamping hammer, then the acquired image data is subjected to algorithm analysis and processing, the real-time height of the tamping briquette is calculated, and the final height number of the briquette is obtained after tamping is completed.
Disclosure of Invention
The invention provides a tamping coke oven coal cake height detection method based on image processing, which aims to solve the problem that the tamping coke oven coal cake height cannot be detected and measured in the coal coking process at present.
A tamping coke oven coal cake height detection method based on image processing mainly comprises the following steps:
the method comprises the following steps of firstly, installing camera equipment, and evenly installing cameras at the vertical position of the tamping height of the last meter of the coal cake in the tamping station and the width of the tamping station.
And secondly, correcting the angle of the camera by combining the field tamping condition, so that the highest position of the tamping hammer does not exceed the upper edge position of the image visual field during the final tamping.
And thirdly, acquiring images of each camera in real time, preprocessing the images, processing each preprocessed set of images of the tamping hammer in real time by using an interframe difference algorithm, binarizing the processed images, and marking the moving track of the tamping hammer in the images.
And fourthly, performing algorithm matching on a drum ramming rule model of the drum ramming hammer and the drum ramming rule after the binary image is obtained, and finding out the number of rows of the image where the top end of the drum ramming hammer is located.
And fifthly, performing template matching on the image after the inter-frame difference, and calculating the height of the top end of the tamping hammer in the image (the height is the image line number X image resolution).
And sixthly, the sum of the height of the tamping briquette at the bottom of the camera and the height of the top end of the tamping hammer in the image is the total height of the tamping briquette.
A camera is arranged at a reference position, so that the height of the coal cake during final drum tamping can be detected in real time; performing interframe difference algorithm processing on the image, binarizing the image, and marking the running track of a tamping hammer in the image; carrying out regular model algorithm matching on the motion trajectory data of the drum pounding, and finding out the number of lines of the image where the top end of the drum pounding hammer is located; and calculating the height of the top end of the tamping hammer in the image to obtain the final height of the tamping briquette.
The invention provides a tamping coke oven coal cake height detection method based on image processing. The method can detect the tamping coal cake height of the tamping coke oven in real time, and calculate the final coal charging height of the coke oven according to the detected real-time coal cake height data after tamping is finished.
Drawings
FIG. 1 is a flowchart of an embodiment of a method for detecting the height of a coal cake of a stamp-charging coke oven based on image processing according to the present invention;
FIG. 2 is a diagram of an example of a method for detecting the height of a coal cake of a stamp-charging coke oven based on image processing according to the present invention;
FIG. 3 is an effect diagram of stamping hammer height marking by the stamping coke oven coal cake height detection method based on image processing provided by the invention;
FIG. 4 is an effect diagram of the tamping hammer top height calculated by the tamping coke oven coal cake height detection method based on image processing according to the present invention;
FIG. 5 is a final height schematic diagram of a tamping coke oven coal cake height detection method based on image processing provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With reference to fig. 1 to 5, the invention provides a tamping coke oven coal cake height detection method based on image processing, which comprises the following steps:
step S1, mounting cameras on the vertical position of the last one meter of tamping height of the coal cake in the tamping station and the width of the tamping station on average;
step S2, correcting the shooting angle of the camera to make the highest position of the tamping hammer not exceed the upper edge position of the image visual field when the camera is tamped at last, and marking the bottommost point of the camera image at the actual tamping height on site; a camera is arranged at a reference position, so that the height of the coal cake during final drum tamping can be detected in real time;
step S3, preprocessing the images, including noise removal, wide dynamic state and the like, processing each group of preprocessed drumstick images in real time by using an interframe difference algorithm, binarizing the processed images, and marking the running track of a tamping hammer in the images;
step S4, performing drum hammer regular model algorithm matching after the binary image, and finding out the number of rows of the image where the top end of the drum hammer is located;
step 5, calculating the actual corresponding height of the top end of the tamping hammer in the image according to the line number, wherein the height is the image line number X image resolution line number;
and step 6, the sum of the height of the tamping briquette in the image according to the position of the bottom of the camera and the height of the top end of the tamping hammer is the total height of the tamping briquette.
8 groups of cameras are arranged on the vertical position of the tamping height of the last meter of the coal cake in the tamping station of the tamping coke oven and on the width average of the tamping station. As shown in fig. 2, the LED lamp light filling is installed according to the on-site situation simultaneously, the influence that causes the camera image when avoiding light not enough, need guarantee when installing the camera that the hammer of tamping is in the field of vision scope of camera.
And then the angle correction is carried out on the camera by combining the field tamping condition, so that the highest position of the tamping hammer does not exceed the upper edge position of the image visual field of the camera during the final tamping.
By acquiring each camera image in real time, denoising the image by using a Gaussian smoothing filter, performing inter-frame difference algorithm processing on two frames of images before and after preprocessing the image, performing binarization processing on the image, and obtaining the running track of the drumstick in the image after the binarization of the image, as shown in FIG. 3.
Performing drum pounding hammer rule model algorithm matching after the binarization image:
1. sequentially judging pixel points of the binary image from top to bottom and from left to right;
2. when the number of continuous binaryzation white points in one line is larger than N or the number of discontinuous black points in the white points is smaller than M, recording the line number L of the line, and adding 1 to the number Sum _ E of the effective lines;
3. sequentially judging the lines L +1 and L +2. the step 2, when the lower LN lines all meet the condition of the step 2, only adding N to the effective line number Sum _ E, and when Sum _ E is larger than a set value, indicating that the position of the recorded line number is the top of the drum ramming hammer;
4. when the conditions of the step 2 are not met in the following L +1 and L +2 lines, clearing the recorded line number L and the effective line number, and performing the step 2 algorithm operation on the rest part of the frame image;
5. returning to the row number of the top of the drum pounding hammer when the drum pounding hammer is detected, and returning to 0 row when the drum pounding hammer is not detected;
the number of rows in the image where the tip of the tamper was located was found and the height of the tip of the tamper in the image (height: image row number X image resolution) was calculated as shown in fig. 4.
The sum of the height Vh of the tamping briquette and the height (Dh) of the top end of the tamping hammer in the image, which is determined by the bottom of the camera, is the total height Sh of the tamping briquette, Sh being Vh + Dh. As shown in fig. 5.
The method can detect the tamping coal cake height of the tamping coke oven in real time, and calculate the final coal charging height of the coke oven according to the detected real-time coal cake height data after tamping is finished, so that the method is convenient, rapid, accurate and effective.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (5)

1. A tamping coke oven coal cake height detection method based on image processing is characterized by comprising the following steps:
step S1, mounting cameras on the vertical position of the last one meter of tamping height of the coal cake in the tamping station and the width of the tamping station on average;
step S2, correcting the shooting angle of the camera to make the highest position of the tamping hammer not exceed the upper edge position of the image visual field when the camera is tamped at last, and marking the bottommost point of the camera image at the actual tamping height on site;
step S3, preprocessing the images, processing each group of preprocessed drumstick images in real time by using an interframe difference algorithm, binarizing the processed images, and marking the running track of the tamping hammers in the images;
step S4, performing drum hammer regular model algorithm matching after the binary image, and finding out the number of rows of the image where the top end of the drum hammer is located;
step 5, calculating the actual corresponding height of the top end of the tamping hammer in the image according to the line number, wherein the height is the image line number X image resolution line number;
and step 6, the sum of the height of the tamping briquette in the image according to the position of the bottom of the camera and the height of the top end of the tamping hammer is the total height of the tamping briquette.
2. The method for detecting the height of the coal cake of the stamp-charging coke oven based on the image processing as claimed in claim 1, wherein the method comprises the following steps: and a camera is arranged at the reference position, so that the height of the coal cake during final drum tamping can be detected in real time.
3. The method for detecting the height of the coal cake of the stamp-charging coke oven based on the image processing as claimed in claim 1, wherein the method comprises the following steps: and performing interframe difference algorithm processing on the image, binarizing the image, and marking the running track of the tamping hammer in the image.
4. The method for detecting the height of the coal cake of the stamp-charging coke oven based on the image processing as claimed in claim 1, wherein the method comprises the following steps: and carrying out regular model algorithm matching on the motion trajectory data of the drum pounding, and finding out the line number of the top end of the drum pounding hammer in the image.
5. The method for detecting the height of the coal cake of the stamp-charging coke oven based on the image processing as claimed in claim 1, wherein the method comprises the following steps: in step S3, the image preprocessing means includes noise removal and wide dynamic range.
CN202110335826.3A 2021-03-29 2021-03-29 Tamping coke oven coal cake height detection method based on image processing Pending CN113112460A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110335826.3A CN113112460A (en) 2021-03-29 2021-03-29 Tamping coke oven coal cake height detection method based on image processing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110335826.3A CN113112460A (en) 2021-03-29 2021-03-29 Tamping coke oven coal cake height detection method based on image processing

Publications (1)

Publication Number Publication Date
CN113112460A true CN113112460A (en) 2021-07-13

Family

ID=76712582

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110335826.3A Pending CN113112460A (en) 2021-03-29 2021-03-29 Tamping coke oven coal cake height detection method based on image processing

Country Status (1)

Country Link
CN (1) CN113112460A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202229754U (en) * 2011-09-14 2012-05-23 岳阳千盟电子有限公司 Tamped coking coal cake height measuring system based on DM6467 digital platform
CN108737790A (en) * 2018-06-11 2018-11-02 山西华鑫电气有限公司 Coal flow monitoring method based on image information collecting
US20180365843A1 (en) * 2015-07-01 2018-12-20 China University Of Mining And Technology Method and system for tracking moving objects based on optical flow method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202229754U (en) * 2011-09-14 2012-05-23 岳阳千盟电子有限公司 Tamped coking coal cake height measuring system based on DM6467 digital platform
US20180365843A1 (en) * 2015-07-01 2018-12-20 China University Of Mining And Technology Method and system for tracking moving objects based on optical flow method
CN108737790A (en) * 2018-06-11 2018-11-02 山西华鑫电气有限公司 Coal flow monitoring method based on image information collecting

Similar Documents

Publication Publication Date Title
CN104535586B (en) Strip steel edge defect detection identification method
CN113971779B (en) Water gauge automatic reading method based on deep learning
CN115239704B (en) Accurate detection and repair method for wood surface defects
JP5421192B2 (en) Crack detection method
CN106546263B (en) A kind of laser leveler shoot laser line detecting method based on machine vision
CN104268505A (en) Automatic cloth defect point detection and recognition device and method based on machine vision
CN108038883A (en) A kind of Crack Detection and recognition methods applied to highway pavement video image
CN113628189B (en) Rapid strip steel scratch defect detection method based on image recognition
CN109852748B (en) Method for monitoring development process of gas flow in distribution period of blast furnace and predicting gas utilization rate
CN107613229A (en) A kind of dead pixels of image sensor surveys means for correcting and method
CN110991360B (en) Robot inspection point position intelligent configuration method based on visual algorithm
CN104992429A (en) Mountain crack detection method based on image local reinforcement
CN104374780B (en) In-tunnel three-dimensional laser scanning reflectivity correction method
CN112465895A (en) Bubble volume calculation method in air tightness detection based on computer vision
CN110766683A (en) Pearl finish grade detection method and system
CN112561875A (en) Photovoltaic cell panel coarse grid detection method based on artificial intelligence
CN108492306A (en) A kind of X-type Angular Point Extracting Method based on image outline
CN112634179B (en) Camera shake prevention power transformation equipment image change detection method and system
CN113112460A (en) Tamping coke oven coal cake height detection method based on image processing
CN117333467B (en) Image processing-based glass bottle body flaw identification and detection method and system
CN110019060B (en) Method and device for automatically synchronizing locomotive video file and operation record file
CN204718967U (en) The accurate disposal system of image in a kind of chemical fiber paper tube outward appearance testing process
CN112233111A (en) Tunnel gap detection method based on digital image processing
CN111476792B (en) Extraction method of strip steel image contour
CN115546072A (en) Image distortion correction method

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