CN115762089A - Blanking blockage detecting device for ore bin - Google Patents
Blanking blockage detecting device for ore bin Download PDFInfo
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- CN115762089A CN115762089A CN202211536944.1A CN202211536944A CN115762089A CN 115762089 A CN115762089 A CN 115762089A CN 202211536944 A CN202211536944 A CN 202211536944A CN 115762089 A CN115762089 A CN 115762089A
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Abstract
The invention belongs to the field of blanking blockage detection of an ore bin of a steel enterprise, and particularly relates to a blanking blockage detection device of the ore bin, which is characterized by comprising a color light source arranged on one side of a blanking position, a high-definition high-frequency color camera arranged on the other side of the blanking position, a computer system connected with the high-definition high-frequency color camera, and an alarm system connected with the computer system, wherein the light beam track of the color light source is horizontally vertical to the blanking direction of a material, the computer system finishes processing of acquired image information, software simulation analysis and identification of a blockage state, laser is not blocked to be blanking port blockage, laser is completely blocked to be a material receiving device to accumulate stockpile, and laser interval is blocked to be a continuous blanking normal production state. According to the invention, a color light source and a camera are arranged according to an optical principle and an intelligent image processing technology, the falling and accumulation conditions of materials between an ore bin and a receiving device are shot and analyzed, a software program is developed to analyze images, the blanking and material blocking states are identified, and an alarm is given in the accident state.
Description
Technical Field
The invention belongs to the field of blanking detection of an ore bin of an iron and steel enterprise, and particularly relates to a blanking detection device of an ore bin.
Background
For iron and steel enterprises before sintering pellets and the like, materials are stored and transported through an ore bin and a belt conveyor, and during the process of storing materials from the ore bin to the belt conveyor, the materials are easily blocked at a feed opening due to the reasons of material block blockage, humidity, weather and the like, and are often not found in time. The blockage accumulation amount greatly prolongs the maintenance time and other reasons, the occurrence of a material shortage production stop accident is caused, and the production and economic benefits are seriously influenced, so that the blockage accident can be detected in time and cleaned in the shortest time, and the method is an effective means for preventing the accidents.
Disclosure of Invention
The invention aims to provide a blanking block detection device for an ore bin, which can shoot and analyze the falling and accumulation conditions of materials between the ore bin and a material receiving device according to an optical principle and an intelligent image processing technology, identify the blanking block state and give an alarm in an accident state.
The purpose of the invention is realized by the following technical scheme:
the invention relates to a blanking block detecting device of an ore bin, which is characterized by comprising a color light source arranged at one side of a blanking position, a high-definition high-frequency color camera arranged at the other side of the blanking position, a computer system connected with the high-definition high-frequency color camera, and an alarm system connected with the computer system,
the light beam track of the color light source is horizontally vertical to the material blanking direction, the computer system finishes processing of collected image information, software simulation analysis is carried out, the material blocking state is identified, laser is not blocked to be blanking port material blocking, laser is completely blocked to be a material receiving device to stack materials, and laser interval is blocked to be a continuous blanking normal production state.
The resolution of the high-definition high-frequency color camera is more than 1024x768, and the number of sampling frames is more than 60 frames per second.
And a development software program in the computer system analyzes the image, acquires a blanking scene video stream, analyzes continuous 100 frames of image information, calculates the light beam penetration result of each frame, and counts the penetration frame number, wherein the penetration frame number is greater than 90 frames and is used as blanking port blocking, the penetration frame number is less than 10 frames and is used as a material receiving device and blanking port stacking blocking chat, and the penetration frame number is 10-90 frames and is in a normal operation state.
The invention has the advantages that:
according to the invention, the blanking block detection device of the ore bin is provided with a color light source and a camera according to an optical principle and an intelligent image processing technology, the falling and accumulation conditions of materials between the ore bin and the receiving device are shot and analyzed, a software program is developed to analyze images, the blanking block state is identified, and an alarm is given in the accident state.
Drawings
Fig. 1 is a configuration diagram of the present invention.
FIG. 2 is a flowchart of the process of the present invention.
FIG. 3 is a schematic diagram of an image capture area according to the present invention.
Detailed Description
The following further describes the embodiments of the present invention with reference to the drawings.
As shown in figures 1, 2 and 3, the blanking block-detecting device of the ore bin is characterized by comprising a color light source 1 arranged at one side of a blanking position, a high-definition high-frequency color camera 2 arranged at the other side of the blanking position, a computer system 3 connected with the high-definition high-frequency color camera 2, an alarm system connected with the computer system 3,
the light beam track of the color light source 1 is horizontally vertical to the material blanking direction, and the computer system 3 completes the processing of the collected image information and performs software simulation analysis. Set up colored light source 1 and high definition high frequency color camera 2, shoot the analysis ore bin with the receiving device between the material whereabouts with pile up the condition, shoot the laser through high definition high frequency color camera 2 and by the sheltering from the condition of material, distinguish the putty state, laser is not sheltered from for the feed opening putty, laser is whole to be sheltered from and piles up the windrow for receiving device, laser interval is sheltered from for lasting unloading normal production state.
The resolution of the high-definition high-frequency color camera 2 is more than 1024x768, and the number of sampling frames is more than 60 frames per second.
The development software program in the computer system 3 analyzes the image, acquires the blanking scene video stream and analyzes the continuous 100 frames of image information, calculates the light beam penetration result of each frame, and counts the penetration frame number, wherein the penetration frame number is greater than 90 frames and is used as blanking port blocking, the penetration frame number is less than 10 frames and is used as the material receiving device and the blanking port are piled up and blocked, and the penetration frame number is 10-90 frames and is in a normal operation state.
The blanking block detection device for the ore bin is provided with a color light source 1 and a high-definition high-frequency color camera 2, the falling and accumulation conditions of materials between the ore bin and a material receiving device are shot and analyzed, a software program is developed to analyze images, the blanking block state is identified, and an alarm is given in the accident state.
Examples
Outline of the process: as shown in the attached figure 1, an upstream ore bin discharges materials through a discharging opening, a lower peripheral material receiving device receives the materials and continuously conveys the materials to the next procedure, the material blocking situation is often caused by the blockage of large materials, the icing and blocking in winter, the equipment failure and the like, and if the blockage situation is not found in time, the materials are accumulated and compacted, and the materials are very difficult to clean.
(1) System hardware configuration
The system hardware is constructed as shown in figure 1,
arranging a color light source 1 at the blanking position, wherein the light beam track is horizontally vertical to the material blanking direction; set up a high definition high frequency color camera 2 and be used for image acquisition, resolution ratio at unloading department opposite side: more than 1024x768 frames, and more than 60 frames per second of sampling frame number, so that the shot image is clear and does not smear. And setting the computer system 3 to complete the processing of the acquired image information, performing software simulation analysis, and supplying power to the whole set of system at 220VAC.
(2) System software function
Developing a software program to analyze the image, wherein the specific flow is as follows:
1) Acquiring a blanking scene video stream;
2) Intercepting a trapezoidal image area of a material blanking area below the blanking port, as shown in fig. 3;
3) Analyzing the trapezoid area in the image, and classifying the blanking state:
regarding the pipeline penetration rate in the range of 10% -90%, the pipeline penetration rate is regarded as the normal blanking condition and belongs to normal production;
when the penetration rate of the pipeline is in the range of 0% -10%, the material is regarded as being stacked from the receiving device to the feed opening, and the stacking shielding light cannot penetrate through the material, so that the material stacking and blocking condition is met;
the penetration rate of the pipeline is in a range of 90% -100%, the situation that the blanking port cannot be blanked due to blockage of large blocks or frozen materials at the blanking port of the ore bin is considered as a material blockage situation;
4) In order to prevent false alarm of instantaneous detection, a multi-sample analysis method in specified time is adopted to filter interference data, and the method comprises the following steps: setting 10 seconds (which can be set) as a judgment period, taking 100 frames of image information within 10 seconds, extracting the RGB value of each frame of image information, and performing the image analysis of the step 3 on each frame of image to obtain the analysis result of each frame of image.
5) And (3) carrying out statistical judgment on the analysis results of 100 frames of images in a judgment period, and when the statistical quantity of the blockage analysis results is more than 60% (the limit can be set to be any threshold value between 50% and 80%, and is generally set to be 60%), determining that the blockage state is the real state of the material within 10 seconds.
6) When the system finds that the material blockage occurs, alarming is carried out, and the fault type is displayed on a software picture.
According to the invention, the ore bin blanking blockage detection device is provided with a color light source 1 and a high-definition high-frequency color camera 2 according to an optical principle and an intelligent image processing technology, the falling and accumulation conditions of materials between an ore bin and a material receiving device are shot and analyzed, a software program is developed to analyze images, the blanking blockage state is identified, and an alarm is given in an accident state.
Claims (3)
1. A blanking block detecting device of an ore bin is characterized by comprising a color light source arranged at one side of a blanking position, a high-definition high-frequency color camera arranged at the other side of the blanking position, a computer system connected with the high-definition high-frequency color camera, and an alarm system connected with the computer system,
the light beam track of the color light source is horizontally vertical to the material blanking direction, the computer system finishes processing of collected image information, software simulation analysis is carried out, the material blocking state is identified, laser is not blocked to be blanking port material blocking, laser is completely blocked to be a material receiving device to stack materials, and laser interval is blocked to be a continuous blanking normal production state.
2. The blanking block detecting device of claim 1, wherein the resolution of the high-definition high-frequency color camera is more than 1024x768, and the number of sampling frames is more than 60 frames per second.
3. The blanking block detection device of claim 1, wherein a development software program in the computer system analyzes images, acquires a blanking scene video stream and analyzes continuous 100 frames of image information, calculates the light beam penetration result of each frame, and counts the penetration frame number, wherein the penetration frame number is greater than 90 frames and is used as blanking port blocking, the penetration frame number is less than 10 frames and is used as a receiving device to blanking port accumulation blocking chat, and the penetration frame number is 10-90 frames and is in a normal operation state.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN116620877A (en) * | 2023-07-21 | 2023-08-22 | 成都考拉悠然科技有限公司 | Method and system for detecting and processing blanking cabinet blocking materials based on deep learning |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN116620877A (en) * | 2023-07-21 | 2023-08-22 | 成都考拉悠然科技有限公司 | Method and system for detecting and processing blanking cabinet blocking materials based on deep learning |
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