阅读说明：本技术 一种烧结机尾断面图片的捕捉方法及装置 (Method and device for capturing picture of sintering machine tail section ) 是由 胡振超 秦雪刚 李昭蓉 杨伟强 李亮举 邱成国 于 2020-11-20 设计创作，主要内容包括：本发明涉及图像识别技术领域,尤其涉及一种烧结机尾断面图片的捕捉方法及装置,该方法包括：确定烧结机尾断面所在的预设区域；通过红外热成像设备对预设区域连续获取烧结机尾断面的N张断面图片；对每张断面图片的各个像素温度进行分析,从N张断面图片中选取满足预设条件的P0张断面图片,预设条件为烧结台车不处于翻车状态、且烧结机尾断面未被烧结矿砸落地面产生的高温灰尘遮挡、且检测到烧结机尾断面的下边缘,且未被前一块未掉落的烧结矿层所遮挡,且下方未被断层掉落的碎块遮挡；对P0张断面图片中的每张断面图片的各个像素温度进行分析,从中获得目标图片,根据该清晰完整的图片中获取烧结质量的信息,便于对烧结过程的操作提供指导。(The invention relates to the technical field of image recognition, in particular to a method and a device for capturing a sintering machine tail section picture, wherein the method comprises the following steps: determining a preset area where the tail section of the sintering machine is located; continuously acquiring N section pictures of the sintering machine tail section in a preset area through infrared thermal imaging equipment; analyzing the pixel temperature of each section picture, and selecting P0 section pictures meeting preset conditions from N section pictures, wherein the preset conditions are that the sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by the ground where the sintering ore falls down, the lower edge of the tail section of the sintering machine is detected, and is not shielded by a previous sintering ore layer which does not fall down, and the lower part of the tail section of the sintering machine is not shielded by fragments falling from the fault; and analyzing the temperature of each pixel of each of the P0 section pictures to obtain a target picture, and acquiring sintering quality information according to the clear and complete picture, thereby being convenient for providing guidance for the operation of the sintering process.)

1. A method for capturing a sintering machine tail section picture is characterized by comprising the following steps:

determining a preset region where the sintering machine tail section is located, wherein the preset region is used for displaying a complete image of the sintering machine tail section;

continuously acquiring N section pictures of the sintering machine tail section in the preset area through infrared thermal imaging equipment;

analyzing the pixel temperature of each section picture in the N section pictures, and selecting P0 section pictures meeting preset conditions from the N section pictures, wherein the preset conditions are that a sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by the ground where the sintering ore falls, the lower edge of the tail section of the sintering machine is detected and is not shielded by a previous sintering ore layer which does not fall, and the lower part of the section of the tail ore layer of the sintering machine is not shielded by fragments falling from the fault;

and analyzing the temperature of each pixel of each of the P0 section pictures to obtain a complete and clear target picture.

2. The method according to claim 1, wherein the analyzing the pixel temperature of each of the N cross-sectional pictures, and selecting P0 cross-sectional pictures from the N cross-sectional pictures, which satisfy a preset condition that the sintering trolley is not in a turnover state, the sintering machine tail cross-section is not shielded by high-temperature dust generated from a ground where the sintering ore falls, the lower edge of the sintering machine tail cross-section is detected and is not shielded by a previous sintering ore layer which is not dropped, and the lower side of the sintering machine tail cross-section is not shielded by fragments dropped from the fault, comprises:

acquiring first average temperatures of all pixel points of each section picture in the N section pictures;

acquiring a second average temperature of pixel points of a first preset row of each section picture from the top;

acquiring a third average temperature of pixels of a first preset pixel row group and a fourth average temperature of pixels of a second preset pixel row group from the bottom of each section picture, wherein the first preset pixel row group is adjacent to the second preset pixel row group, and the first pixel row group is positioned below the second pixel row group;

acquiring a first number of pixel points with the temperature values smaller than the preset temperature in the pixel points of a second preset row from the bottom of each section picture and a second number of all the pixel points of the second preset row;

acquiring a first mean square error of temperature in pixel points of a third preset row of each section picture from the bottom end, wherein the second preset row is the same as or different from the third preset row;

selecting P0 section pictures from the N section pictures, so that a first average temperature in the P0 section pictures is greater than a first parameter, a second average temperature is less than a second parameter, a difference value between a fourth average temperature and a third average temperature is greater than a third parameter, a ratio of a first quantity to a second quantity is less than a fourth parameter, and a first average variance is less than a fifth parameter, so that a sintering trolley in the P0 section pictures is not in a turnover state, the sintering machine tail section is not shielded by high-temperature dust generated by a sintering ore falling ground, the lower edge of the sintering machine tail section is detected, the lower edge of the sintering machine tail section is not shielded by a previous sintering ore layer which is not dropped, and the lower part of the sintering machine tail section is not shielded by fragments dropped from the fault.

3. The method as claimed in claim 1, wherein analyzing the respective pixel temperatures of each of the P0 cross-sectional pictures to obtain a complete and clear target picture therefrom comprises:

acquiring a fifth average temperature and a second average variance of the temperature of pixel points of each cross-section picture in the P0 cross-section pictures;

obtaining G cross-section pictures belonging to one period in the P0 cross-section pictures;

sequencing each section picture in the G section pictures according to the sequence of the fifth average temperature from high to low to obtain F section pictures with the preset proportion, wherein the preset proportion meets a sixth parameter;

and acquiring a section picture with the maximum second mean square error from the F section pictures as a target picture.

4. The method according to claim 3, wherein the obtaining of G cross-sectional pictures belonging to one period from among the P0 cross-sectional pictures comprises:

setting a frame number sequence number for each section picture in the N section pictures;

sequentially traversing the N section pictures, recording the frame number sequence numbers of P0 section pictures in the traversed N section pictures by adopting a counter, and subtracting the frame number sequence number of the currently traversed N section pictures from the frame number sequence number of the latest section picture in the P0 section pictures recorded by the counter to obtain a difference value;

judging whether the difference value meets a preset frame number difference, wherein the preset difference value is larger than the maximum value of the frame number difference of adjacent section pictures in the P0 section pictures and is smaller than the total frame number of a period;

when the preset frame number difference is met, determining that a period is ended, wherein the section picture corresponding to the frame number sequence number recorded by the counter is the ending section picture of the period, and the next section picture of the section picture corresponding to the frame number sequence number recorded by the counter is the starting section picture of the next period;

and acquiring G pictures belonging to one period from the P0 section pictures based on the starting section picture and the ending section picture.

5. The utility model provides a seizure device of sintering machine tail section picture which characterized in that includes:

the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a preset region where a sintering machine tail section is located, and the preset region is used for displaying a complete image of the sintering machine tail section;

the acquisition module is used for continuously acquiring N section pictures of the sintering machine tail section in the preset area through infrared thermal imaging equipment;

the selecting module is used for analyzing the pixel temperature of each section picture in the N section pictures, and selecting P0 section pictures meeting preset conditions from the N section pictures, wherein the preset conditions are that a sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by a ground where sintering ores fall, the lower edge of the tail section of the sintering machine is detected and is not shielded by a previous sintering ore layer which does not fall, and the lower part of the tail section of the sintering machine is not shielded by fragments falling from the fault;

and the target picture obtaining module is used for analyzing the pixel temperature of each cross section picture in the P0 cross section pictures to obtain a complete and clear target picture.

6. The apparatus of claim 1, wherein the selection module comprises:

the first acquisition unit is used for acquiring first average temperatures of all pixel points of each section picture in the N section pictures;

the second acquisition unit is used for acquiring a second average temperature of the pixel points of the first preset row of each section picture from the top;

a third obtaining unit, configured to obtain a third average temperature of pixels of a first preset pixel row group and a fourth average temperature of pixels of a second preset pixel row group from a bottom of each cross-section picture, where the first preset pixel row group is adjacent to the second preset pixel row group, and the first pixel row group is located below the second pixel row group;

a fourth obtaining unit, configured to obtain a first number of pixels in a second preset row of pixels of each cross-section picture from a bottom, where a temperature value of the pixels is smaller than a preset temperature, and a second number of all pixels in the second preset row;

a fifth obtaining unit, configured to obtain a first mean square error of temperatures in pixel points in a third preset row from a bottom of each cross-section picture, where the second preset row is the same as or different from the third preset row;

a selecting unit, configured to select P0 section pictures from the N section pictures, so that a first average temperature in the P0 section pictures is greater than a first parameter, a second average temperature is less than a second parameter, a difference between a fourth average temperature and a third average temperature is greater than a third parameter, a ratio of the first quantity to the second quantity is less than a fourth parameter, and the first average variance is less than a fifth parameter, so that a sintering pallet in the P0 section pictures is not in a turnover state, and the sintering machine tail section is not shielded by high-temperature dust generated by a sintering ore falling ground, and a lower edge of the sintering machine tail section is detected and is not shielded by a previous sintering ore layer which is not dropped, and a lower portion of the sintering machine tail section is not shielded by fault fragments.

7. The apparatus of claim 1, wherein the target picture selection module comprises:

a sixth obtaining unit, configured to obtain a fifth average temperature and a second average variance of the temperature of a pixel point of each cross-section picture in the P0 cross-section pictures;

a seventh acquiring unit, configured to acquire G cross-section pictures belonging to one period from among the P0 cross-section pictures;

the eighth obtaining unit is used for sequencing each section picture in the G section pictures from high to low according to a fifth average temperature, and obtaining F section pictures with a preset proportion, wherein the preset proportion meets a sixth parameter;

and a ninth acquiring unit, configured to acquire, as a target picture, a cross-section picture with a largest second mean square error from the F cross-section pictures.

8. The apparatus of claim 7, wherein the seventh obtaining unit comprises:

the presetting unit is used for setting a frame number sequence number for each section picture in the N section pictures;

a difference value obtaining unit, configured to sequentially traverse the N cross-section pictures, record, by using a counter, frame number numbers of the P0 cross-section pictures in the traversed N cross-section pictures, and obtain a difference value by subtracting the frame number of the currently traversed N cross-section pictures from the frame number of the latest cross-section picture in the P0 cross-section pictures recorded by the counter;

a judging unit, configured to judge whether the difference satisfies a preset frame number difference, where the preset difference is greater than a maximum value of a frame number difference between adjacent cross-section pictures in the P0 cross-section pictures and is less than a total frame number of a period;

a determining unit, configured to determine that a cycle is ended when the preset frame number difference is met, where a cross-sectional picture corresponding to the frame number recorded by the counter is an end cross-sectional picture of the cycle, and a subsequent cross-sectional picture of the cross-sectional picture corresponding to the frame number recorded by the counter is a start cross-sectional picture of a next cycle;

a tenth acquiring unit, configured to acquire G pictures belonging to one period from the P0 cross-section pictures based on the start cross-section picture and the end cross-section picture.

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method steps of any of claims 1-4 when executing the program.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 1 to 4.

Technical Field

The invention relates to the technical field of image recognition, in particular to a method and a device for capturing a sintering machine tail section picture.

Background

The pictures of the sintering machine tail bed layer section contain a large amount of sintering quality information, and the information can be obtained by adopting machine vision and image processing technology, thereby providing guidance for the operation of the sintering process. However, in the actual production process, the sintering machine is in continuous motion, images need to be acquired continuously, and if the extracted images are not typical enough or the images themselves are not complete enough, sintering information is lost.

Therefore, how to obtain a complete and clear optimal section picture of the sintering tail is a technical problem to be solved urgently at present.

Disclosure of Invention

In view of the above, the present invention is proposed to provide a method and an apparatus for capturing a picture of a sintering machine tail section that overcomes or at least partially solves the above problems.

In a first aspect, the present invention provides a method for capturing a sintering machine tail section picture, including:

determining a preset region where the sintering machine tail section is located, wherein the preset region is used for displaying a complete image of the sintering machine tail section;

continuously acquiring N section pictures of the sintering machine tail section in the preset area through infrared thermal imaging equipment;

analyzing the pixel temperature of each section picture in the N section pictures, and selecting P0 section pictures meeting preset conditions from the N section pictures, wherein the preset conditions are that a sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by the ground where the sintering ore falls, the lower edge of the tail section of the sintering machine is detected and is not shielded by a previous sintering ore layer which does not fall, and the lower part of the tail section of the sintering machine is not shielded by fragments falling from the fault;

and analyzing the temperature of each pixel of each of the P0 section pictures to obtain a complete and clear target picture.

Further, the analyzing the pixel temperature of each of the N cross-section pictures, selecting P0 cross-section pictures satisfying preset conditions from the N cross-section pictures, where the preset conditions are that the sintering pallet is not in a turnover state, and the tail cross-section of the sintering machine is not shielded by high-temperature dust generated by the ground where the sintering ore falls, and the lower edge of the tail cross-section of the sintering machine is detected, and is not shielded by a previous sintering ore layer which does not fall, and the lower side of the tail cross-section of the sintering machine is not shielded by fragments falling from the cross-section, includes:

acquiring first average temperatures of all pixel points of each section picture in the N section pictures;

acquiring a second average temperature of pixel points of a first preset row of each section picture from the top;

acquiring a third average temperature of pixels of a first preset pixel row group and a fourth average temperature of pixels of a second preset pixel row group from the bottom of each section picture, wherein the first preset pixel row group is adjacent to the second preset pixel row group, and the first pixel row group is positioned below the second pixel row group;

acquiring a first number of pixel points with the temperature values smaller than the preset temperature in the pixel points of a second preset row from the bottom of each section picture and a second number of all the pixel points of the second preset row;

acquiring a first mean square error of temperature in pixel points of a third preset row of each section picture from the bottom end, wherein the second preset row is the same as or different from the third preset row;

selecting P0 section pictures from the N section pictures, so that a first average temperature in the P0 section pictures is greater than a first parameter, a second average temperature is less than a second parameter, a difference value between a fourth average temperature and a third average temperature is greater than a third parameter, a ratio of a first quantity to a second quantity is less than a fourth parameter, and a first average variance is less than a fifth parameter, so that a sintering trolley in the P0 section pictures is not in a turnover state, the sintering machine tail section is not shielded by high-temperature dust generated by a sintering ore falling ground, the lower edge of the sintering machine tail section is detected, the lower edge of the sintering machine tail section is not shielded by a previous sintering ore layer which is not dropped, and the lower part of the sintering machine tail section is not shielded by fragments dropped from the fault.

Further, the analyzing the temperature of each pixel of each of the P0 cross-sectional pictures to obtain a complete and clear target picture includes:

acquiring a fifth average temperature and a second average variance of the temperature of pixel points of each cross-section picture in the P0 cross-section pictures;

obtaining G cross-section pictures belonging to one period in the P0 cross-section pictures;

sequencing each section picture in the G section pictures according to the sequence of the fifth average temperature from high to low to obtain F section pictures with the preset proportion, wherein the preset proportion meets a sixth parameter;

and acquiring a section picture with the maximum second mean square error from the F section pictures as a target picture.

Further, the acquiring G cross-sectional pictures belonging to one period in the P0 cross-sectional pictures includes:

setting a frame number sequence number for each section picture in the N section pictures;

sequentially traversing the N section pictures, recording the frame number sequence numbers of P0 section pictures in the traversed N section pictures by adopting a counter, and subtracting the frame number sequence number of the currently traversed N section pictures from the frame number sequence number of the latest section picture in the P0 section pictures recorded by the counter to obtain a difference value;

judging whether the difference value meets a preset frame number difference, wherein the preset difference value is larger than the maximum value of the frame number difference of adjacent section pictures in the P0 section pictures and is smaller than the total frame number of a period;

when the preset frame number difference is met, determining that a period is ended, wherein the section picture corresponding to the frame number sequence number recorded by the counter is the ending section picture of the period, and the next section picture of the section picture corresponding to the frame number sequence number recorded by the counter is the starting section picture of the next period;

and acquiring G pictures belonging to one period from the P0 section pictures based on the starting section picture and the ending section picture.

In a second aspect, the present invention further provides a capturing device for capturing a picture of a sintering machine tail section, including:

the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a preset region where a sintering machine tail section is located, and the preset region is used for displaying a complete image of the sintering machine tail section;

the acquisition module is used for continuously acquiring N section pictures of the sintering machine tail section in the preset area through infrared thermal imaging equipment;

the selecting module is used for analyzing the pixel temperature of each section picture in the N section pictures, and selecting P0 section pictures meeting preset conditions from the N section pictures, wherein the preset conditions are that a sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by a ground where sintering ores fall, the lower edge of the tail section of the sintering machine is detected and is not shielded by a previous sintering ore layer which does not fall, and the lower part of the tail section of the sintering machine is not shielded by fragments falling from the fault;

and the target picture obtaining module is used for analyzing the pixel temperature of each cross section picture in the P0 cross section pictures to obtain a complete and clear target picture.

Further, the selecting module includes:

the first acquisition unit is used for acquiring first average temperatures of all pixel points of each section picture in the N section pictures;

the second acquisition unit is used for acquiring a second average temperature of the pixel points of the first preset row of each section picture from the top;

a third obtaining unit, configured to obtain a third average temperature of pixels of a first preset pixel row group and a fourth average temperature of pixels of a second preset pixel row group from a bottom of each cross-section picture, where the first preset pixel row group is adjacent to the second preset pixel row group, and the first pixel row group is located below the second pixel row group;

a fourth obtaining unit, configured to obtain a first number of pixels in a second preset row of pixels of each cross-section picture from a bottom, where a temperature value of the pixels is smaller than a preset temperature, and a second number of all pixels in the second preset row;

a fifth obtaining unit, configured to obtain a first mean square error of temperatures in pixel points in a third preset row from a bottom of each cross-section picture, where the second preset row is the same as or different from the third preset row;

a selecting unit, configured to select P0 section pictures from the N section pictures, so that a first average temperature in the P0 section pictures is greater than a first parameter, a second average temperature is less than a second parameter, a difference between a fourth average temperature and a third average temperature is greater than a third parameter, a ratio of the first quantity to the second quantity is less than a fourth parameter, and the first average variance is less than a fifth parameter, so that a sintering pallet in the P0 section pictures is not in a turnover state, and the sintering machine tail section is not shielded by high-temperature dust generated by a sintering ore falling ground, and a lower edge of the sintering machine tail section is detected and is not shielded by a previous sintering ore layer which is not dropped, and a lower portion of the sintering machine tail section is not shielded by fault fragments.

Further, the target picture selecting module includes:

a sixth obtaining unit, configured to obtain a fifth average temperature and a second average variance of the temperature of a pixel point of each cross-section picture in the P0 cross-section pictures;

a seventh acquiring unit, configured to acquire G cross-section pictures belonging to one period from among the P0 cross-section pictures;

the eighth obtaining unit is used for sequencing each section picture in the G section pictures from high to low according to a fifth average temperature, and obtaining F section pictures with a preset proportion, wherein the preset proportion meets a sixth parameter;

and a ninth acquiring unit, configured to acquire, as a target picture, a cross-section picture with a largest second mean square error from the F cross-section pictures.

Further, the seventh obtaining unit includes:

the presetting unit is used for setting a frame number sequence number for each section picture in the N section pictures;

a difference value obtaining unit, configured to sequentially traverse the N cross-section pictures, record, by using a counter, frame number numbers of the P0 cross-section pictures in the traversed N cross-section pictures, and obtain a difference value by subtracting the frame number of the currently traversed N cross-section pictures from the frame number of the latest cross-section picture in the P0 cross-section pictures recorded by the counter;

a judging unit, configured to judge whether the difference satisfies a preset frame number difference, where the preset difference is greater than a maximum value of a frame number difference between adjacent cross-section pictures in the P0 cross-section pictures and is less than a total frame number of a period;

a determining unit, configured to determine that a cycle is ended when the preset frame number difference is met, where a cross-sectional picture corresponding to the frame number recorded by the counter is an end cross-sectional picture of the cycle, and a subsequent cross-sectional picture of the cross-sectional picture corresponding to the frame number recorded by the counter is a start cross-sectional picture of a next cycle;

a tenth acquiring unit, configured to acquire G pictures belonging to one period from the P0 cross-section pictures based on the start cross-section picture and the end cross-section picture.

In a third aspect, the present invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above-mentioned method steps when executing the program.

In a fourth aspect, the invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the above-mentioned method steps.

One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

the invention provides a method for capturing a sintering machine section picture, which comprises the following steps: determining a preset area where the sintering machine tail section is located, wherein the preset area is used for displaying a complete image of the sintering machine tail section; continuously acquiring N section pictures of the tail section of the sintering machine in the preset area through infrared thermal imaging equipment, analyzing the pixel temperature of each section picture in the N section pictures, selecting P0 section pictures meeting preset bars from the N section pictures, and selecting the preset conditions that a sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by a ground where sintering ore falls, the lower edge of the tail section of the sintering machine is detected, the tail section of the sintering machine is not shielded by a previous sintering ore layer which does not fall, and the lower part of the tail section of the sintering machine is not shielded by fragments falling from a fault; and finally, analyzing the pixel temperature of each cross section picture in the P0 cross section pictures to obtain a complete and clear target picture, further analyzing the change of the temperature image in the sintering process of the sintering ore obtained by the infrared thermal imaging equipment, screening out a clear and complete image from the obtained image, and obtaining information of sintering quality according to the clear and complete picture, thereby being convenient for providing guidance for the operation of the sintering process.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

FIG. 1 is a flow chart illustrating the steps of a method for capturing a cross-sectional image of a sintering machine tail according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a capturing device for a cross-sectional image of the tail of a sintering machine according to a second embodiment of the invention;

fig. 3 shows a schematic structural diagram of an electronic device for implementing a sintering machine tail section picture in the third embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

Example one

An embodiment of the present invention provides a method for capturing a sintering machine tail section picture, as shown in fig. 1, including:

s101, determining a preset area where the sintering machine tail section is located, wherein the preset area is used for displaying a complete image of the sintering machine tail section.

S102, continuously acquiring N section pictures of the sintering machine tail section in a preset area through infrared thermal imaging equipment.

S103, analyzing the pixel temperature of each section picture in the N section pictures, and selecting P0 section pictures meeting preset conditions from the N section pictures, wherein the preset conditions are that the sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by the ground where the sintering ore falls, the lower edge of the tail section of the sintering machine is detected and is not shielded by a previous sintering ore layer which does not fall, and the lower part of the tail section of the sintering machine is not shielded by fragments falling from the fault.

And S104, analyzing the temperature of each pixel in each of the P0 section pictures to obtain a complete and clear target picture.

Firstly, the sintering machine is in continuous motion, a black ore layer in a front trolley which rotates and descends blocks a sintering section in a rear trolley which is positioned on the same plane with a camera, a sintering ore section image on the rear trolley gradually appears along with the slow descending of the front trolley, when the sintering ore on the rotating front trolley completely falls off due to the action of gravity, the rear section is exposed, the section at the moment is quite clear, but the boundary of the section is not obvious and is difficult to capture, and meanwhile, the falling front sintering ore can be smashed to the ground, so that a large amount of high-temperature dust is splashed, and the observation and the capture are seriously interfered. The dust can be sucked away by the air exhaust equipment at the tail, the cross section becomes clear again along with the dust, a certain angle is formed between the cross section and the observed camera in the moving process, clear boundary characteristics are exposed, the best capturing time is provided, the cross section is turned downwards continuously, the inclination angle of the cross section is increased, the observed cross section is seriously deformed and is not suitable for capturing although clear at the moment. Therefore, the timing suitable for capturing is very small.

Before shooting the shooting time, executing S101, and determining a preset area where the sintering machine tail section is located, wherein the preset area is used for presenting a complete image of the sintering machine tail section.

Specifically, the preset area is determined according to the position, the length, the width and the height of the sintering machine tail section, so that the preset area is exactly overlapped with the ore bed section area.

For example, each image captured by 640 × 480 infrared thermal imaging equipment is obtained, a point with a coordinate (211,227) on the image is selected as an upper left vertex of the preset region, the width of the preset region is set to 250, the height of the preset region is set to 42, and a rectangular region, namely the preset region, can be determined by the upper left vertex, the width of 250 and the height of 42.

Next, at the above shooting timing, S102 is executed, and N cross-section pictures of the sintering machine tail cross-section are continuously obtained for the preset area through the infrared thermal imaging device.

Because the infrared thermal imaging equipment is adopted to shoot the picture, the obtained N cross-section pictures contain the temperature value information of all the pixel points.

Then, S103 is executed to analyze the pixel temperature of each of the N cross-sectional pictures, and P0 cross-sectional pictures satisfying a preset condition that the sintering pallet is not in a rollover state, the sintering machine tail cross-section is not shielded by high-temperature dust generated on the ground where the sintering ore falls, the lower edge of the sintering machine tail cross-section is detected, the lower edge of the sintering machine tail cross-section is not shielded by a previous sintering ore layer which does not fall, and the lower side of the sintering machine tail cross-section is not shielded by fragments which fall from the cross-section are selected from the N cross-sectional pictures.

In S103, the method is specifically implemented by using a tool provided by the opencv function library.

In the step, mainly by judging the temperature of the pixel, a picture when the sintering trolley turns over, a picture shielded by high-temperature dust generated when the sintering machine tail section is hit by the sintering ore and falls on the ground, a picture which cannot detect the lower edge of the sintering machine tail section, a picture shielded by a previous sintering ore layer which does not fall below, and a picture shielded by fragments falling from the fault below are filtered.

Therefore, in this step, it is necessary to screen pixel images in which the following five kinds of data satisfy respective corresponding conditions.

Specifically, the first data: and acquiring first average temperatures of all pixel points of each section picture in the N section pictures. Namely, the temperature values corresponding to all the pixel points in each section picture are added, and then the first average temperature corresponding to each pixel point is obtained.

Second data: and obtaining a second average temperature of the pixel points of the first preset row of each section picture from the top. Namely, the temperature values corresponding to all the pixel points in the first 5 rows counted from the top are added, and then the second average temperatures corresponding to the pixel points are obtained.

Third data: and acquiring a third average temperature of the pixel points of a first preset pixel row group and a fourth average temperature of the pixel points of a second preset pixel row group of each section picture from the bottom, wherein the first preset pixel row group is adjacent to the second preset pixel row group, and the first pixel row group is positioned below the second pixel row group.

If each cross-sectional picture has 50 rows of pixels, the first predetermined pixel row group from the bottom may be a pixel row group consisting of a 50 th row and a 49 th row. The second predetermined pixel row group may be a pixel row group composed of a 48 th row and a 47 th row, and of course, other combinations are also possible, which are not limited herein.

The temperature values of the pixel points in the 50 th row and the 49 th row are added and then averaged to obtain the third average temperature, and the temperature values of the pixel points in the 48 th row and the 47 th row are added and then averaged to obtain the fourth average temperature.

Fourth data: and acquiring a first number of pixel points with the temperature values smaller than the preset temperature in the pixel points of a second preset row from the bottom of each section picture and a second number of all the pixel points of the second preset row.

In particular, the second preset row from the bottom may particularly refer to two rows from the bottom, such as row 50 and row 49. After the second preset row is determined, acquiring a first number of pixel points with the temperature values smaller than the preset temperature in the pixel points of the second preset row and a second number of all the pixel points of the second preset row.

Fifth data: and acquiring a first mean square error of the temperature in pixel points of a third preset row of each section picture from the bottom end, wherein the second preset row and the third preset row can be the same or different.

Specifically, the third preset row from the bottom may specifically be one row, or two rows, or three rows from the bottom, and after the third preset row is determined, the first mean square error of the temperature in the pixel points of the third preset row is obtained.

The above five data need to satisfy respective corresponding conditions.

First data, the obtained first average temperature is greater than the first parameter.

Second data, wherein the obtained second average temperature is less than the second parameter. The second parameter is greater than the first parameter.

And the difference value between the obtained fourth average temperature and the third average temperature is larger than the third parameter.

And fourth data, wherein the ratio of the obtained first quantity to the obtained second quantity is smaller than the fourth parameter.

And fifth data, wherein the obtained first mean variance is less than the fifth parameter.

If the five kinds of data all meet the corresponding conditions, the obtained picture meets the condition that the sintering trolley is not in a turnover state, the sintering machine tail section is not shielded by high-temperature dust generated by the ground hit by the sintering ore, the lower edge of the sintering machine tail section can be detected, the lower edge is not shielded by the previous sintering ore layer which does not fall, and the lower part of the sintering machine tail section is not shielded by fragments falling from the fault.

When the first average temperature, the second average temperature, the third average temperature and the fourth average temperature are obtained, the first average temperature, the second average temperature, the third average temperature and the fourth average temperature are obtained according to the following formulas:

S＝cols*rows

wherein S is the total number of pixels; cols is the total number of columns of pixels, which here may be 270; rows is the total number of rows of pixels, which here may be 1; p is any one of the average temperatures, temp_iIs the temperature of the ith pixel.

The arbitrary one of the mean variances is obtained by the following formula:

wherein F is any one mean variance.

In practical use, the first parameter may be 222, that is, when the first average temperature is greater than 222, the first data satisfies the corresponding condition. The sintering pallet in the corresponding cross-section picture is not in a turnover state.

The second parameter may be 275, that is, when the second average temperature is less than 275, the second data satisfies the corresponding condition. The tail section of the sintering machine in the corresponding section picture is not shielded by high-temperature dust generated by the falling surface of the sinter.

The third parameter is 10, that is, the difference between the fourth average temperature and the third average temperature is greater than 10, then the third data satisfies the corresponding condition. The lower edge of the sintering machine tail section can be detected in the corresponding section picture.

When the preset temperature is 270 degrees centigrade, the fourth parameter is 0.2, and when the ratio of the first quantity to the second quantity is less than 0.2, the fourth data satisfies the corresponding condition. The corresponding cross-section picture is not shielded by the previous sintering ore layer which is not dropped.

When the fifth parameter is 2000, i.e. the first mean square error is less than 2000, the fifth data satisfies the corresponding condition. The lower part of the sintering machine tail section is not shielded by fragments falling from the fault.

P0 cross-sectional images among the N cross-sectional images were obtained.

And S104, analyzing the temperature of each pixel in each of the P0 section pictures to obtain a complete and clear target picture.

Specifically, first, a fifth average temperature and a second average variance of the temperature of a pixel point of each cross-section picture in P0 cross-section pictures are obtained, and the fifth average temperature and the second average variance are also obtained according to the above calculation formula. And recording and storing the fifth average temperature and the second average variance of the temperature of the pixel point of each cross section picture in the P0 cross section pictures.

Then, G cross-sectional images belonging to one period among the P0 cross-sectional images are acquired.

When G cross-section pictures in the period are obtained, specifically, a frame number sequence number is set for each cross-section picture in N cross-section pictures; sequentially traversing the N section pictures, recording the frame number sequence numbers of P0 section pictures in the traversed N section pictures by adopting a counter, and subtracting the frame number sequence number of the currently traversed N section pictures from the frame number sequence number of the latest section picture in the P0 section pictures recorded by the counter to obtain a difference value; judging whether the difference value meets a preset frame number difference, wherein the preset frame number difference is larger than the maximum value of the frame number difference of adjacent section pictures in the P0 section pictures and is smaller than the total frame number of a period; when the preset frame number difference is met, determining that a period is ended, wherein the section picture corresponding to the frame number sequence number recorded by the counter is the ending section picture of the period, and the next section picture of the section picture corresponding to the frame number sequence number recorded by the counter is the starting section picture of the next period; finally, based on the starting cross-section picture and the ending cross-section picture, G pictures belonging to one period are obtained from the P0 cross-section pictures.

For example, a frame number is set for each of N slice pictures, that is, N is 10, and a frame number is set for the 10 slice pictures from the first one, for example, the frame number is 1 to 10.

If the 1 st, 2 nd and 4 th cross-sectional pictures all belong to the P0 cross-sectional pictures, the other cross-sectional pictures such as the 3 rd, 5 th, 6 th, 7 th, 8 th, 9 th and 10 th cross-sectional pictures do not belong to the P0 cross-sectional pictures.

And sequentially traversing the 10 section pictures, recording the frame number of the P0 section pictures in the traversed 10 section pictures by the counter, and subtracting the frame number of the currently traversed 10 section pictures from the frame number of the traversed section pictures in the P0 section pictures recorded by the technologist.

Traversing the 1 st section picture, wherein the frame number is 1, the section picture belongs to P0 section pictures, and at the moment, the counter records as 1; traversing the 2 nd section picture, wherein the frame number is 2, the picture belongs to the P0 section pictures, and at the moment, the counter records as 2; traversing the 3 rd section picture, wherein the frame number is 3, the picture does not belong to the P0 section pictures, and at the moment, the counter records as 2; traversing the 4 th section picture, wherein the frame number is 4, the section picture belongs to the P0 section pictures, at this time, the counter is recorded as 4, and meanwhile, the obtained difference value is 4-4 which is equal to 0; traversing the 5 th section picture, wherein the frame number is 5, the section picture does not belong to the P0 section pictures, at this time, the counter is recorded as 4, and the difference is 5-4-1; traversing the 6 th section picture, wherein the frame number is 6, the section picture does not belong to the P0 section pictures, at this time, the counter is recorded as 4, and meanwhile, the obtained difference value is 6-4-2; traversing the 7 th cross-section picture, wherein the frame number is 7, the P7 th cross-section picture does not belong to the P0 cross-section pictures, at this time, the counter is recorded as 4, and meanwhile, the difference value is 7-4-3, if the preset frame number difference is 3, the 7 th cross-section picture is an end cross-section picture of one period, and the 8 th cross-section picture is a start cross-section picture of one period, thereby obtaining G cross-section pictures belonging to one period in the P0 cross-section pictures.

After G section pictures in a period are obtained, sequencing the section pictures in the G section pictures according to the sequence of the fifth average temperature from high to low, and obtaining F section pictures with the previous preset ratio, wherein the preset ratio meets the sixth parameter.

For example, the preset ratio is the first 30%, so that G cross-sectional pictures with the average temperature at the first 30% are obtained, and the number of the first 30% cross-sectional pictures is F.

And after the F cross section pictures are obtained, acquiring a cross section picture with the largest second mean square error from the F cross section pictures as a target picture.

By screening the average temperature of each cross-section picture, if the average temperature is higher, the image is more complete. When the average variance of the temperature of each cross-section picture is screened, the larger the average variance is, the clearer the image is. Thus, the clear and complete picture is obtained, namely the target picture.

And finally, when the target picture is analyzed, sintering information can be accurately acquired.

One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

the invention provides a method for capturing a sintering machine section picture, which comprises the following steps: determining a preset area where the sintering machine tail section is located, wherein the preset area is used for displaying a complete image of the sintering machine tail section; continuously acquiring N section pictures of the tail section of the sintering machine in the preset area through infrared thermal imaging equipment, analyzing the pixel temperature of each section picture in the N section pictures, and selecting P0 section pictures meeting preset bars from the N section pictures, wherein the preset conditions are that a sintering trolley is not in a turnover state, the tail section of the sintering machine is not shielded by high-temperature dust generated by a ground where sintering ores fall, the lower edge of the tail section of the sintering machine is detected and is not shielded by a previous sintering ore layer which does not fall, and the lower part of the tail section of the sintering machine is not shielded by fragments of which the fault falls; and finally, analyzing the pixel temperature of each cross section picture in the P0 cross section pictures to obtain a complete and clear target picture, further, analyzing the change of the temperature image in the sintering process of the sintering ore obtained by the infrared thermal imaging equipment, screening out a clear and complete image from the obtained image, and obtaining information of sintering quality according to the clear and complete picture, thereby being convenient for providing guidance for the operation of the sintering process.

Example two

Based on the same inventive concept, the second embodiment of the present invention further provides a capturing device for capturing a cross-sectional picture of a sintering machine tail, as shown in fig. 2, including:

a determining module 201, configured to determine a preset region where a sintering machine tail section is located, where the preset region is used to present a complete image of the sintering machine tail section;

an obtaining module 202, configured to continuously obtain, through an infrared thermal imaging device, N section pictures of the sintering machine tail section for the preset area;

a selecting module 203, configured to analyze the pixel temperature of each of the N cross-section pictures, and select P0 cross-section pictures that satisfy a preset condition from the N cross-section pictures, where the preset condition is that a sintering pallet is not in a turnover state, and the tail cross-section of the sintering machine is not shielded by high-temperature dust generated on a ground where a sintering ore falls, and a lower edge of the tail cross-section of the sintering machine is detected, and is not shielded by a previous sintering ore layer that does not fall, and a lower side of the tail cross-section of the sintering machine is not shielded by fragments falling from a cross-section;

and the target picture obtaining module 204 is configured to analyze the pixel temperature of each of the P0 section pictures to obtain a complete and clear target picture.

In an optional implementation, the selecting module 203 includes:

the first acquisition unit is used for acquiring first average temperatures of all pixel points of each section picture in the N section pictures;

the second acquisition unit is used for acquiring a second average temperature of the pixel points of the first preset row of each section picture from the top;

a third obtaining unit, configured to obtain a third average temperature of pixels of a first preset pixel row group and a fourth average temperature of pixels of a second preset pixel row group from a bottom of each cross-section picture, where the first preset pixel row group is adjacent to the second preset pixel row group, and the first pixel row group is located below the second pixel row group;

a fourth obtaining unit, configured to obtain a first number of pixels in a second preset row of pixels of each cross-section picture from a bottom, where a temperature value of the pixels is smaller than a preset temperature, and a second number of all pixels in the second preset row;

a fifth obtaining unit, configured to obtain a first mean square error of temperatures in pixel points in a third preset row from a bottom of each cross-section picture, where the second preset row is the same as or different from the third preset row;

a selecting unit, configured to select P0 section pictures from the N section pictures, so that a first average temperature in the P0 section pictures is greater than a first parameter, a second average temperature is less than a second parameter, a difference between a fourth average temperature and a third average temperature is greater than a third parameter, a ratio of the first quantity to the second quantity is less than a fourth parameter, and the first average variance is less than a fifth parameter, so that a sintering pallet in the P0 section pictures is not in a turnover state, and the sintering machine tail section is not shielded by high-temperature dust generated by a sintering ore falling ground, and a lower edge of the sintering machine tail section is detected and is not shielded by a previous sintering ore layer which is not dropped, and a lower portion of the sintering machine tail section is not shielded by fault fragments.

In an optional implementation manner, the target picture selecting module 204 includes:

a sixth obtaining unit, configured to obtain a fifth average temperature and a second average variance of the temperature of a pixel point of each cross-section picture in the P0 cross-section pictures;

a seventh acquiring unit, configured to acquire G cross-section pictures belonging to one period from among the P0 cross-section pictures;

the eighth obtaining unit is used for sequencing each section picture in the G section pictures from high to low according to a fifth average temperature, and obtaining F section pictures with a preset proportion, wherein the preset proportion meets a sixth parameter;

and a ninth acquiring unit, configured to acquire, as a target picture, a cross-section picture with a largest second mean square error from the F cross-section pictures.

In an optional implementation, the seventh obtaining unit includes:

the presetting unit is used for setting a frame number sequence number for each section picture in the N section pictures;

a difference value obtaining unit, configured to sequentially traverse the N cross-section pictures, record, by using a counter, frame number numbers of the P0 cross-section pictures in the traversed N cross-section pictures, and obtain a difference value by subtracting the frame number of the currently traversed N cross-section pictures from the frame number of the latest cross-section picture in the P0 cross-section pictures recorded by the counter;

a judging unit, configured to judge whether the difference satisfies a preset frame number difference, where the preset difference is greater than a maximum value of a frame number difference between adjacent cross-section pictures in the P0 cross-section pictures and is less than a total frame number of a period;

a determining unit, configured to determine that a cycle is ended when the preset frame number difference is met, where a cross-sectional picture corresponding to the frame number recorded by the counter is an end cross-sectional picture of the cycle, and a subsequent cross-sectional picture of the cross-sectional picture corresponding to the frame number recorded by the counter is a start cross-sectional picture of a next cycle;

a tenth acquiring unit, configured to acquire G pictures belonging to one period from the P0 cross-section pictures based on the start cross-section picture and the end cross-section picture.

EXAMPLE III

Based on the same inventive concept, the third embodiment of the present invention provides an electronic device, as shown in fig. 3, which includes a memory 304, a processor 302, and a computer program stored on the memory 304 and executable on the processor 302, and when the processor 302 executes the program, the processor 302 implements the steps of the above-mentioned method for capturing the sinter tail section image.

Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.

Example four

Based on the same inventive concept, a fourth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for capturing the tail section image of the sintering machine.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.

In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the means for capturing an end section picture of a sinter machine, the electronic device, and the like in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.