CN112183516A - Method for reading single-photo multi-region maximum temperature based on graphic image recognition technology - Google Patents
Method for reading single-photo multi-region maximum temperature based on graphic image recognition technology Download PDFInfo
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Abstract
The invention discloses a method for reading the highest temperature of multiple areas of a single photo based on a pattern image recognition technology, and relates to the technical field of pattern image recognition. The invention comprises the following steps: the method comprises the following steps: shooting a targeted area by using an infrared camera to obtain a thermal radiation intensity distribution picture of the targeted area; step two: carrying out digital image processing on the thermal radiation intensity distribution picture to obtain the average temperature of each area; step three: and judging the average temperature in each area, identifying an abnormal high-temperature area and carrying out red marking alarm. According to the invention, by combining a graphic image processing technology with the capability of the infrared camera to capture heat radiation, the condition of local temperature abnormality in the use process of the kiln can be effectively identified, related workers can be reminded to check the abnormal condition in time, and the production loss is reduced.
Description
Technical Field
The invention belongs to the technical field of pattern image recognition, and particularly relates to a method for reading the highest temperature of multiple regions of a single photo based on a pattern image recognition technology.
Background
Due to the current production environment, when the kiln is opened for a long time, abnormal high temperature phenomena can be possibly generated at some parts of the kiln, and the kiln can be damaged to a certain extent at the abnormal high temperature for a long time, so that the service life of the kiln is shortened. Therefore, in order to avoid this situation, a need exists for a system that can monitor the temperature of the kiln in real time, and when the temperature of the kiln is abnormally high, mark the position of the abnormally high temperature, and then notify the maintenance personnel to perform maintenance and repair.
Disclosure of Invention
The invention aims to provide a method for reading the highest temperature of a single photo and multiple regions based on a graph and image recognition technology, and solves the problem that the conventional kiln is inconvenient to troubleshoot when abnormal high temperature occurs.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a method for reading the highest temperature of multiple areas of a single photo based on a graphic image recognition technology, which comprises the following steps:
the method comprises the following steps: shooting a targeted area by using an infrared camera to obtain a thermal radiation intensity distribution picture of the targeted area;
step two: carrying out digital image processing on the thermal radiation intensity distribution picture to obtain the average temperature of each area;
step three: and judging the average temperature in each area, identifying an abnormal high-temperature area and carrying out red marking alarm.
Preferably, in the first step, the distribution picture of the thermal radiation intensity is displayed as an 8-bit gray scale image, each pixel point of the 8-bit gray scale image can represent 256 different color levels, and when the thermal radiation intensity received by the infrared camera is higher, the pixel point with the higher gray scale value is used for representing the image.
Preferably, the method for digital image processing in the second step comprises the following steps: uniformly dividing a targeted area into a sub-area of a multiplied by b, accumulating the gray values of pixel points of all the sub-areas, and dividing the gray values by the number of the pixel points in the sub-areas to obtain an average gray value; and finally, calculating the average temperature according to the heat radiation laws, wherein the heat radiation laws comprise a kirchhoff radiation law, a planck radiation distribution law, a stefan-boltzmann law and a venn displacement law.
Preferably, a temperature difference threshold is further set in the third step, and the method for identifying the abnormally high temperature region includes: accumulating the average temperature of all the subregions, dividing the average temperature by the number of the subregions to obtain a comparison temperature, calculating the temperature difference value between the region and the surrounding region by using each subregion, taking an absolute value after the temperature difference value is differed with the comparison temperature to obtain a judgment temperature value, further reducing the temperature threshold value by differencing twice, improving the judgment precision, eliminating special conditions with preset high temperature for a target region, reducing errors, comparing the judgment temperature value with the temperature difference threshold value, judging the two subregions as temperature difference boundaries when the judgment threshold value is greater than the temperature difference threshold value, and finally identifying the region with high average temperature in the two subregions as an abnormal high-temperature region.
Preferably, the third step further includes a camera, and the red warning method includes: the method comprises the steps of firstly taking a picture of a target area by a camera to obtain an actual picture of the target area, then obtaining a marked red picture according to the fact that pixel gray values corresponding to actual thermal radiation intensity in an abnormal high-temperature area are red with the same gray value, finally taking the actual picture as a negative film, covering the marked red picture on the actual picture and outputting the same together to finish alarming of the abnormal high-temperature area, and therefore workers can conveniently and rapidly investigate the reason of high-temperature abnormality and production loss is reduced.
The invention has the following beneficial effects:
according to the invention, by combining the graphic image processing technology and the capability of the infrared camera for capturing the thermal radiation, the condition of local temperature abnormality in the use process of the kiln can be effectively identified, related workers can be reminded to check the abnormal condition in time, the checking amount of the workers is reduced, and the risk of production loss caused by the damage of the kiln at an abnormal high temperature is reduced.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for reading the maximum temperature of multiple areas of a single photo based on a graphic image recognition technology.
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.
Referring to fig. 1, the present invention is a method for reading a single-photo multi-region maximum temperature based on a pattern image recognition technology, including the following steps:
the method comprises the following steps: shooting a targeted area by using an infrared camera to obtain a thermal radiation intensity distribution picture of the targeted area;
step two: carrying out digital image processing on the thermal radiation intensity distribution picture to obtain the average temperature of each area;
step three: and judging the average temperature in each area, identifying an abnormal high-temperature area and carrying out red marking alarm.
In the first step, the distribution picture of the thermal radiation intensity is displayed by an 8-bit gray level image, each pixel point of the 8-bit gray level image can represent 256 different color levels, and when the thermal radiation intensity received by the infrared camera is higher, the pixel points with the larger gray levels are used for representing the image.
The digital image processing method in the step two comprises the following steps: uniformly dividing a targeted area into a sub-area of a multiplied by b, accumulating the gray values of pixel points of all the sub-areas, and dividing the gray values by the number of the pixel points in the sub-areas to obtain an average gray value; and finally, calculating the average temperature according to the heat radiation laws, wherein the heat radiation laws comprise a kirchhoff radiation law, a planck radiation distribution law, a stefan-boltzmann law and a venn displacement law.
Wherein, a temperature difference threshold is also set in the third step, and the identification method for the abnormal high-temperature area comprises the following steps: accumulating the average temperature of all the subregions, dividing the average temperature by the number of the subregions to obtain a comparison temperature, calculating the temperature difference value between the region and the surrounding region by using each subregion, taking an absolute value after the temperature difference value is differed with the comparison temperature to obtain a judgment temperature value, further reducing the temperature threshold value by differencing twice, improving the judgment precision, eliminating special conditions with preset high temperature for a target region, reducing errors, comparing the judgment temperature value with the temperature difference threshold value, judging the two subregions as temperature difference boundaries when the judgment threshold value is greater than the temperature difference threshold value, and finally identifying the region with high average temperature in the two subregions as an abnormal high-temperature region.
The third step further comprises a camera, and the red marking alarm method comprises the following steps: the method comprises the steps of firstly taking a picture of a target area by a camera to obtain an actual picture of the target area, then obtaining a marked red picture according to the fact that pixel gray values corresponding to actual thermal radiation intensity in an abnormal high-temperature area are red with the same gray value, finally taking the actual picture as a negative film, covering the marked red picture on the actual picture and outputting the same together to finish alarming of the abnormal high-temperature area, and therefore workers can conveniently and rapidly investigate the reason of high-temperature abnormality and production loss is reduced.
One specific embodiment of the invention is:
use the kiln as the target area, use 1600 x 1200 resolution ratio as an example, set up infrared camera and ordinary camera outside the kiln, before the use, need set up the picture parameter of the distribution picture of temperature threshold value and thermal radiation intensity, the picture parameter of the distribution picture of thermal radiation intensity includes:
setting the picture pixel value under the radiation intensity as 0 according to the radiation intensity corresponding to the lowest working temperature when the kiln works;
and setting the picture pixel value under the radiation intensity to 127.
Thus, in the presence of abnormally high temperatures, the reserved tone scale for higher pixel values can indicate a stronger radiation intensity.
Then, shooting the targeted area by using an infrared camera to obtain a thermal radiation intensity distribution picture of the targeted area; uniformly dividing a targeting area into 10 multiplied by 10 subregions according to the respective rate of a display, numbering each subregion, wherein the more the number of the divided subregions is, the more accurate the judgment on an abnormally high-temperature area is, and meanwhile, the temperature threshold value needs to be reduced, then accumulating the gray values of pixel points of all the subregions, and dividing the gray values by the number of the pixel points in the subregions to obtain an average gray value; and then obtaining the average thermal radiation intensity of each sub-area according to the thermal radiation intensity corresponding to the average gray value, and finally calculating the average temperature according to the thermal radiation law.
It should be noted that the average temperature obtained by calculation needs to be obtained by adding the deviation between the theoretical temperature and the actual temperature to the theoretical temperature obtained by calculation using the heat radiation law, where the deviation between the theoretical temperature and the actual temperature is a measured value obtained by averaging after comparing the theoretical temperature and the actual temperature for many times before identification.
Setting a temperature difference threshold, further reducing the temperature threshold by subtracting all sub-regions twice, improving the judgment precision, eliminating the average temperature accumulation of some regions, dividing the average temperature accumulation by the number of the sub-regions to obtain a comparison temperature, calculating the temperature difference between the region and the surrounding region by taking each sub-region as the calculation result, taking an absolute value by subtracting the temperature difference from the comparison temperature to obtain a judgment temperature value, reducing the error by targeting the special condition that the region has a preset high temperature, comparing the judgment temperature value with the temperature difference threshold, when the judgment threshold is greater than the temperature difference threshold, judging the two sub-regions as temperature difference boundaries, finally identifying the region with a high average temperature in the two sub-regions as an abnormal high temperature region, identifying the abnormal high temperature region and performing red marking alarm, photographing the target region by a camera to obtain an actual picture of the target region, and then attaching the same gray value to pixels corresponding to the actual gray value of the heat radiation intensity in the abnormal high temperature region And (4) performing red color to obtain a red marking picture, finally taking the actual picture as a negative film, and covering the red marking picture on the actual picture and outputting the red marking picture together to finish the alarm of the abnormal high-temperature area.
When the kiln has abnormal local high temperature, the area can be marked red on the picture shot by the camera, the temperature difference is higher, the red depth is deeper, and the severity of the abnormal condition of the kiln can be effectively judged by the staff through the size and the color of the red marking area.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The method for reading the highest temperature of multiple areas of a single photo based on the graphic image recognition technology is characterized by comprising the following steps of:
the method comprises the following steps: shooting a targeted area by using an infrared camera to obtain a thermal radiation intensity distribution picture of the targeted area;
step two: carrying out digital image processing on the thermal radiation intensity distribution picture to obtain the average temperature of each area;
step three: and judging the average temperature in each area, identifying an abnormal high-temperature area and carrying out red marking alarm.
2. The method for reading the highest temperature of multiple regions of a single photo based on the graph image recognition technology as claimed in claim 1, wherein in the first step, the distribution picture of the thermal radiation intensity is displayed as an 8bit gray image, and when the thermal radiation intensity received by the infrared camera is higher, the distribution picture is represented by a pixel point with a higher gray value.
3. The method for reading the highest temperature of multiple areas of a single photo based on the graph image recognition technology as claimed in claim 1, wherein the method for processing the digital image in the second step comprises the following steps: uniformly dividing a targeted area into a sub-area of a multiplied by b, accumulating the gray values of pixel points of all the sub-areas, and dividing the gray values by the number of the pixel points in the sub-areas to obtain an average gray value; and then obtaining the average thermal radiation intensity of each sub-area according to the thermal radiation intensity corresponding to the average gray value, and finally calculating the average temperature according to the thermal radiation law.
4. The method for reading the highest temperature of multiple areas of a single photo based on the graph image recognition technology as claimed in claim 3, wherein a temperature difference threshold is further set in the third step, and the method for recognizing the abnormal high temperature area is as follows: accumulating the average temperature of all the sub-areas, dividing the average temperature by the number of the sub-areas to obtain a comparison temperature, calculating the temperature difference value between the area and the surrounding area by using each sub-area, taking the absolute value after the temperature difference value is differed from the comparison temperature to obtain a judgment temperature value, comparing the judgment temperature value with a temperature difference threshold value, judging the two sub-areas to be temperature difference boundaries when the judgment threshold value is larger than the temperature difference threshold value, and finally identifying the area with high average temperature in the two sub-areas to be an abnormal high-temperature area.
5. The method for reading the highest temperature of multiple areas of a single photo based on the graph image recognition technology as claimed in claim 4, wherein the third step further comprises a camera, and the red-marking alarm method comprises: firstly, a camera is used for shooting a target area to obtain an actual picture of the target area, then a red marking picture is obtained according to the fact that the pixel gray value corresponding to the actual thermal radiation intensity in the abnormal high-temperature area is red with the same gray value, and finally the actual picture is used as a negative film to be covered on the actual picture and output together to finish the alarm of the abnormal high-temperature area.
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