CN114216931B - Belt conveyor coal spontaneous combustion detection method based on infrared image - Google Patents
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- 239000003245 coal Substances 0.000 title claims abstract description 68
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Abstract
The invention discloses a belt conveyor coal spontaneous combustion detection method based on infrared images, which comprises a belt conveyor part mechanism, a connecting bracket, an infrared thermal imager and a smoke alarm. According to the method, the acquired infrared image is extracted to obtain the region meeting the threshold value by utilizing the image segmentation technology, and the images at the front moment and the rear moment are compared, so that when the coal is conveyed by the overhead bridge stack belt conveyor, whether the coal conveyed by the belt conveyor is spontaneous in nature or not can be judged, and the rate and the accuracy of coal spontaneous combustion detection are improved.
Description
Technical Field
The invention relates to a coal spontaneous combustion detection method, in particular to a belt conveyor coal spontaneous combustion detection method based on infrared images, and belongs to the technical field of infrared image processing technology and coal spontaneous combustion detection.
Background
When the belt conveyor of the bridge stack on the well transports coal, the phenomenon of spontaneous combustion of the coal can occur, so that the outer skin of the belt conveyor is burnt, a belt is smoldered, and the like, and further, the fire accident of the coal conveying system is caused.
At present, the detection method for spontaneous combustion phenomenon generated when coal is transported by an overhead bridge stack belt conveyor is less, and the existing infrared thermal imaging detection technology is accurate in measuring the surface temperature of an object, but because the coal seam for transporting coal by the bridge stack belt conveyor is thicker, spontaneous combustion of coal usually occurs from the inside, so that the method for judging whether spontaneous combustion is generated or not by measuring the temperature of coal by adopting a general infrared thermal imager is not preferable. When the belt conveyor of the bridge stack transports coal, the belt vibrates to generate coal dust, so that the smoke alarm can generate false alarm.
Therefore, there is a need in the art to provide a method for detecting spontaneous combustion of coal by using a belt conveyor based on infrared images, wherein the obtained infrared images are extracted into areas meeting a threshold value by using an image segmentation technology, and images at the front and rear moments are compared to judge whether spontaneous combustion occurs in coal conveyed by the belt conveyor, so that the rate and accuracy of spontaneous combustion detection of coal are improved.
Disclosure of Invention
The invention aims to solve the problem and provide a belt conveyor coal spontaneous combustion detection method based on infrared images, so that when an overhead bridge belt conveyor conveys coal, whether the belt conveyor conveys the coal to have spontaneous combustion or not can be judged, and the rate and accuracy of coal spontaneous combustion detection can be improved.
The invention realizes the above purpose through the following technical scheme: a belt conveyor coal spontaneous combustion detection method based on infrared images comprises the following steps of
Step one, detecting the material state through a photoelectric switch sensor, and returning information to a control console; opening the infrared thermal imager, acquiring a picture shot by the infrared thermal imager, and recording the time T 0,T1,T2...Tn for cutting the picture; calculating an RGB histogram for each image; after the R channel in the RGB histogram of the image is equalized, if the R channel does not meet the initial setting requirement, returning to the step of intercepting the image, and continuously collecting the image; carrying out graying treatment on the image meeting the conditions; inputting the image into a threshold segmentation model, and segmenting an area meeting a set threshold in the acquired infrared image by using an area growth algorithm; calculating the area according to the pixel points, and outputting a calculation result to an analysis system;
Analyzing by a coal spontaneous combustion analysis system, and inputting images of the same position at two moments T n and T n+1 by an image acquisition module; performing difference after R channel equalization in RGB histogram of the image, and judging whether delta I is larger than a set value; judging whether delta S is more than or equal to S n multiplied by 5 according to the difference of the areas of the image segmentation areas; and if the conditions are met, a smoke alarm is turned on, and if smoke is generated, an alarm system is triggered.
The infrared thermal imaging device comprises a connecting bracket, a smoke alarm, an infrared thermal imaging device, a belt conveyor part mechanism, a smoke alarm and a connecting bracket, wherein the infrared thermal imaging device and the smoke alarm are arranged above the belt conveyor part mechanism through the middle part of the horizontal end of the connecting bracket, the vertical end of the connecting bracket is fixedly connected to two sides of the belt conveyor part mechanism, and the smoke alarm is positioned at the rear side of the infrared thermal imaging device in the conveying direction of the belt conveyor part mechanism.
As still further aspects of the invention: in the first step, the infrared thermal imager receives an infrared radiation energy distribution pattern of a measured target by using an infrared detector and an optical imaging objective lens and reflects the infrared radiation energy distribution pattern onto a photosensitive element of the infrared detector, so as to obtain an infrared thermal image, wherein the thermal image corresponds to a thermal distribution field on the surface of an object; different colors on the thermal image represent different temperatures of the measured object; and according to the condition that the temperature exceeds 70-80 ℃ when spontaneous combustion occurs in the coal, reversely obtaining an R channel threshold value in an RGB histogram of the thermal imaging image.
As still further aspects of the invention: in the first step, the overall temperature distribution condition of the measured object can be observed through the infrared thermal image, the RGB histogram of the image is calculated, and then the R channel histogram is independently judged whether to accord with the set threshold value or not.
As still further aspects of the invention: in the first step, the image is subjected to gray scale treatment, and an infrared image is subjected to region segmentation by using a region growing algorithm, so that a region meeting a set threshold T 0 is extracted; the area S 0(x,y)、S1(x,y)、S2(x,y)...Sn (x, y) of the divided region is calculated from the pixel points.
As still further aspects of the invention: in the second step, two images at the same position on the belt conveyor at different moments are compared, the pixel values of the R channel of the images are subjected to difference comparison, and the calculation formula is as follows:
△I(x,y)＝In(x,y)-In+1(x,y)
Wherein I n (x, y) is the pixel value in the previous time R channel, I n+1 (x, y) is the pixel value in the next time R channel, I is the difference between the pixels of the infrared image at the previous and next times, H (x, y) is the criterion for judging whether to execute the next step, if the value is 0, the judgment is exited, the coal does not self-ignite, if the value is 1, the next step is executed into the divided area judgment, if the value is 2, the next step is executed, and P 1,P2 is the judgment threshold.
As still further aspects of the invention: in the second step, the difference between the areas of the areas divided by the two images at the same position on the belt conveyor at different moments is used for judging whether a large amount of heat is generated in the time interval T n+1－Tn, and the calculation formula is as follows:
△s＝Sn+1-Sn
in the formula, S n+1 is the area of the image division area at the later time, S n is the area of the image division area at the previous time, Δs is the difference between the areas of the image division areas at the previous and later times, and when the difference is satisfied, the next step is executed.
As still further aspects of the invention: in the second step, the smoke alarm is used as a switch for triggering the spontaneous combustion alarm of the coal finally, so that the false triggering of an alarm system in the step caused by the stopping of the conveyor is prevented; the smoke alarm device triggers the coal spontaneous combustion alarm system when smoke is generated by spontaneous combustion in the coal.
The beneficial effects of the invention are as follows:
1. The detection method judges whether spontaneous combustion of coal occurs or not by comparing infrared images of the same belt conveyor position at different times;
2. according to the detection method, the RGB histogram of the infrared image is calculated, and whether the threshold condition is met or not is preliminarily judged by setting a threshold;
3. the detection method utilizes a threshold growth algorithm to obtain an infrared image region segmentation map, and pixel points calculate the area of a segmentation region;
4. Setting a coal spontaneous combustion judging system, differentiating pixel values in R channels of the two infrared images, comparing calculated values with judging conditions, and selecting areas entering into the infrared image dividing areas to be differentiated or directly carrying out the next step;
5. the detection method is provided with a coal spontaneous combustion judging system, the areas of the two infrared image dividing areas are differentiated, and whether spontaneous combustion occurs is judged;
6. The detection method is provided with a coal spontaneous combustion judging system, and finally triggers a coal spontaneous combustion alarm signal through a smoke alarm.
Drawings
FIG. 1 is a schematic diagram of a hardware architecture of the present invention;
FIG. 2 is a schematic view of the overall framework of the present invention;
FIG. 3 is a schematic diagram of the workflow of the infrared image analysis processing system of the present invention;
FIG. 4 is a schematic diagram of the workflow of the coal spontaneous combustion determination system of the present invention.
In the figure: 101. the belt conveyor part mechanism 102, the connecting bracket 103, the infrared thermal imaging instrument 104 and the smoke alarm.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1 to 4, the method for detecting spontaneous combustion of coal of belt conveyor based on infrared images comprises the following steps of
Step one, detecting the material state through a photoelectric switch sensor, and returning information to a control console; opening the infrared thermal imager 103, acquiring a picture shot by the infrared thermal imager, and recording the time T 0,T1,T2...Tn for cutting the picture; calculating an RGB histogram for each image; after the R channel in the RGB histogram of the image is equalized, if the R channel does not meet the initial setting requirement, returning to the step of intercepting the image, and continuously collecting the image; carrying out graying treatment on the image meeting the conditions; inputting the image into a threshold segmentation model, and segmenting an area meeting a set threshold in the acquired infrared image by using an area growth algorithm; calculating the area according to the pixel points, and outputting a calculation result to an analysis system;
Analyzing by a coal spontaneous combustion analysis system, and inputting images of the same position at two moments T n and T n+1 by an image acquisition module; performing difference after R channel equalization in RGB histogram of the image, and judging whether delta I is larger than a set value; judging whether delta S is more than or equal to S n multiplied by 5 according to the difference of the areas of the image segmentation areas; if the above conditions are met, the smoke alarm 104 is turned on, and if smoke is generated, the alarm system is triggered.
The infrared thermal imager 103 and the smoke alarm 104 are arranged above the belt conveyor part mechanism 101 by being arranged at the middle part of the horizontal end of the connecting support 102, the vertical end of the connecting support 102 is fixedly connected to two sides of the belt conveyor part mechanism 101, and the smoke alarm 104 is positioned at the rear side of the infrared thermal imager 103 in the conveying direction of the belt conveyor part mechanism 101.
In the first embodiment of the present invention, the infrared thermal imager 103 receives the infrared radiation energy distribution pattern of the measured object by using the infrared detector and the optical imaging objective lens, and reflects the infrared radiation energy distribution pattern onto the photosensitive element of the infrared detector, so as to obtain an infrared thermal image, where the thermal image corresponds to the thermal distribution field of the object surface. The different colors on the thermal image represent different temperatures of the measured object. And according to the condition that the temperature exceeds 70-80 ℃ when spontaneous combustion occurs in the coal, reversely obtaining an R channel threshold value in an RGB histogram of the thermal imaging image.
In the embodiment of the invention, in the first step, the overall temperature distribution condition of the measured object can be observed through the infrared thermal image, the RGB histogram of the image is calculated, and then the R channel histogram is independently judged whether to accord with the set threshold value.
In the embodiment of the invention, in the first step, the image is subjected to gray-scale processing, and the infrared image is subjected to region segmentation by using a region growing algorithm, so as to extract the region meeting the set threshold T 0. The area S 0(x,y)、S1(x,y)、S2(x,y)...Sn (x, y) of the divided region is calculated from the pixel points.
In the embodiment of the present invention, in the second step, two images at the same position on the belt conveyor at different moments are compared, the pixel values of the R channel of the images are compared in a difference manner, and the calculation formula is as follows:
△I(x,y)＝In(x,y)-In+1(x,y)
Wherein I n (x, y) is the pixel value in the previous time R channel, I n+1 (x, y) is the pixel value in the next time R channel, I is the difference between the pixels of the infrared image at the previous and next times, H (x, y) is the criterion for judging whether to execute the next step, if the value is 0, the judgment is exited, the coal does not self-ignite, if the value is 1, the next step is executed into the divided area judgment, if the value is 2, the next step is executed, and P 1,P2 is the judgment threshold.
In the embodiment of the present invention, in the second step, the difference between the areas of the areas divided by the two images at the same position on the belt conveyor at different times is used to determine whether a large amount of heat is generated in the time interval T n+1－Tn, and the calculation formula is as follows:
△s＝Sn+1-Sn
in the formula, S n+1 is the area of the image division area at the later time, S n is the area of the image division area at the previous time, Δs is the difference between the areas of the image division areas at the previous and later times, and when the difference is satisfied, the next step is executed.
In the embodiment of the invention, in the second step, the smoke inlet alarm is used as a switch for triggering the spontaneous combustion alarm of the coal finally, so that the false triggering of the alarm system by the step caused by the stopping of the conveyor is prevented. The smoke alarm device triggers the coal spontaneous combustion alarm system when smoke is generated by spontaneous combustion in the coal.
Example two
Referring to fig. 1 to 4, in a method for detecting spontaneous combustion of coal by using a belt conveyor based on infrared images, when the belt conveyor works, the system is turned on, and a first infrared thermal imager at a first acquisition point acquires a picture record time T n and transmits the picture record time T n to a coal spontaneous combustion detection system. After the delta t time, the coal at the same relative position is conveyed to a second acquisition point, and at the moment, the infrared thermal imager acquires images and transmits the images to the coal spontaneous combustion detection system.
And transmitting the acquired image to a coal spontaneous combustion detection system, entering an infrared image processing system, firstly carrying out photoelectric switch detection, judging whether a material exists on the belt conveyor, if no material exists, returning to continue detection, if the material exists, executing the next step, automatically opening an infrared detector by a control system, acquiring an image at the moment T 0、T1、T2、...Tn、Tn+1 by the infrared detector, calculating an RGB histogram of the infrared image, and separating out R channel histogram distribution.
And judging whether the R channel meets the threshold value, if yes, executing the next step, otherwise, re-acquiring the image recording moment. Then, image graying processing is carried out, the image after the graying processing is segmented through a threshold segmentation model, and a segmentation method adopts a region growing method. After image segmentation, the area S n of the segmented region is calculated using the pixel points. So far, the result is output to a coal spontaneous combustion judging system.
And entering a coal spontaneous combustion judging system, inputting an image at the moment T n、Tn+1 from an infrared image processing system, and respectively entering an R channel pixel value judging module and a dividing area judging module.
Firstly, an R channel pixel value judging module is entered, the R channel pixel value of the image at two moments of T n、Tn+1 is subjected to difference, a following calculation formula is adopted, then the first judgment is carried out, if the delta I is more than or equal to 0 and less than or equal to P 1, the judgment is returned, the coal is judged to have no spontaneous combustion phenomenon, then the image is obtained again, and otherwise, the next step is executed. Then, the next step of judgment is carried out, if P 1≤ΔI≤P2 is met, an image segmentation area judgment module is executed, otherwise, the next step of judgment is carried out to a smoke alarm, and if the generated smoke meets the triggering of the alarm, an alarm of spontaneous combustion of coal is sent out.
△I(x,y)＝In(x,y)-In+1(x,y)
Secondly, entering an image segmentation area judging module, taking the difference of the segmentation area at two moments of T n、Tn+1 as a following calculation formula, judging, executing the next step if delta s is more than or equal to 5%S n, otherwise, returning to acquire the infrared image again. And the next step is to enter a smoke alarm, and if the generated smoke meets the triggering of the alarm, an alarm of spontaneous combustion of coal is sent out.
△s＝Sn+1-Sn
The infrared thermal imager acquires a picture shot by the infrared thermal imager, and records the time T 0,T1,T2...Tn for cutting out the picture. And calculating an RGB histogram of each image, extracting an area meeting a threshold value from the acquired infrared image by using an image segmentation technology, comparing the images at the front and rear moments, and judging whether spontaneous combustion occurs in coal conveyed by the belt conveyor or not so as to improve the rate and accuracy of spontaneous combustion detection of the coal.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (5)
1. A belt conveyor coal spontaneous combustion detection method based on infrared images is characterized in that: the method comprises the following steps:
Step one, detecting the material state through a photoelectric switch sensor, and returning information to a control console; opening an infrared thermal imager (103), acquiring a picture shot by the infrared thermal imager, and recording time T 0,T1,T2...Tn for intercepting the picture; calculating an RGB histogram for each image; after the R channel in the RGB histogram of the image is equalized, if the R channel does not meet the initial setting requirement, returning to the step of intercepting the image, and continuously collecting the image; carrying out graying treatment on the image meeting the conditions; inputting the image into a threshold segmentation model, and segmenting an area meeting a set threshold in the acquired infrared image by using an area growth algorithm; calculating the area according to the pixel points, and outputting a calculation result to an analysis system;
Analyzing by a coal spontaneous combustion analysis system, and inputting images of the same position at two moments T n and T n+1 by an image acquisition module; performing difference after R channel equalization in RGB histogram of the image, and judging whether delta I is larger than a set value; judging whether delta S is more than or equal to S n multiplied by 5 according to the difference of the areas of the image segmentation areas; if the conditions are met, a smoke alarm (104) is turned on, and if smoke is generated, an alarm system is triggered;
In the second step, two images at the same position on the belt conveyor at different moments are compared, the pixel values of the R channel of the images are subjected to difference comparison, and the calculation formula is as follows:
ΔI(x,y)＝In(x,y)-In+1(x,y)
Wherein, I n (x, y) is the pixel value in the R channel at the previous moment, I n+1 (x, y) is the pixel value in the R channel at the next moment, I is the difference value of the infrared image pixels at the previous and the next moments, H (x, y) is the standard for judging whether to execute the next step, if the value is 0, the judgment is exited, the coal does not self-ignite, if the value is 1, the judgment of the next step into the divided area is executed, if the value is 2, the smoke alarm (104) is turned on in the next step, if smoke is generated, the alarm system is triggered, and P 1,P2 is the judgment threshold;
In the second step, the difference between the areas of the areas divided by the two images at the same position on the belt conveyor at different moments is used for judging whether a large amount of heat is generated in the time interval T n+1－Tn, and the calculation formula is as follows:
Δs＝Sn+1-Sn
Wherein S n+1 is the area of the image dividing region at the later moment, S n is the area of the image dividing region at the previous moment, deltas is the difference between the areas of the image dividing regions at the front moment and the rear moment, and when the difference is satisfied, the next step is executed;
The infrared thermal imaging device comprises a connecting bracket (102), a smoke alarm (104) and a thermal infrared imager (103), wherein the middle part of the horizontal end of the connecting bracket (102) is arranged above a belt conveyor part mechanism (101), the vertical end of the connecting bracket (102) is fixedly connected to two sides of the belt conveyor part mechanism (101), and the smoke alarm (104) is positioned at the rear side of the thermal infrared imager (103) in the conveying direction of the belt conveyor part mechanism (101).
2. The method for detecting spontaneous combustion of coal of belt conveyor based on infrared images according to claim 1, wherein the method comprises the following steps: in the first step, an infrared thermal imager (103) receives an infrared radiation energy distribution pattern of a detected target to be reflected on a photosensitive element of the infrared detector by utilizing the infrared detector and an optical imaging objective lens, so as to obtain an infrared thermal image, wherein the thermal image corresponds to a thermal distribution field on the surface of an object; different colors on the thermal image represent different temperatures of an object to be measured, and R channel threshold values in an RGB histogram of the thermal imaging image are reversely obtained according to the condition that the temperature exceeds 70-80 ℃ when spontaneous combustion occurs in coal.
3. The method for detecting spontaneous combustion of coal of belt conveyor based on infrared images according to claim 1, wherein the method comprises the following steps: in the first step, the overall temperature distribution condition of the measured object can be observed through the infrared thermal image, the RGB histogram of the image is calculated, and then the R channel histogram is independently judged whether to accord with the set threshold value or not.
4. The method for detecting spontaneous combustion of coal of belt conveyor based on infrared images according to claim 1, wherein the method comprises the following steps: in the first step, the image is subjected to gray scale treatment, and an infrared image is subjected to region segmentation by using a region growing algorithm, so that a region meeting a set threshold T 0 is extracted; the area S 0(x,y)、S1(x,y)、S2(x,y)...Sn (x, y) of the divided region is calculated from the pixel points.
5. The method for detecting spontaneous combustion of coal of belt conveyor based on infrared images according to claim 1, wherein the method comprises the following steps: in the second step, the smoke alarm is used as a switch for triggering the spontaneous combustion alarm of the coal finally, so that the false triggering of an alarm system in the step caused by the stopping of the conveyor is prevented; the smoke alarm device triggers the coal spontaneous combustion alarm system when smoke is generated by spontaneous combustion in the coal.
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| JPH033079A (en) * | 1989-05-31 | 1991-01-09 | Fujitsu Ltd | Infrared-ray monitoring system |
| CN214409649U (en) * | 2021-04-20 | 2021-10-15 | 中国矿业大学(北京) | Coal spontaneous combustion monitoring and predicting system based on infrared radiation characteristics |
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