CN114018982B - Visual monitoring method for dust deposit of air preheater - Google Patents
Visual monitoring method for dust deposit of air preheater Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 239000000428 dust Substances 0.000 title claims abstract description 26
- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 230000000007 visual effect Effects 0.000 title claims abstract description 10
- 238000001514 detection method Methods 0.000 claims abstract description 31
- 238000003384 imaging method Methods 0.000 claims abstract description 31
- 230000002159 abnormal effect Effects 0.000 claims abstract description 30
- 238000009825 accumulation Methods 0.000 claims abstract description 26
- 238000001914 filtration Methods 0.000 claims abstract description 7
- 238000001816 cooling Methods 0.000 claims description 25
- 239000011159 matrix material Substances 0.000 claims description 16
- 230000008021 deposition Effects 0.000 claims description 8
- 230000001681 protective effect Effects 0.000 claims description 7
- 238000009434 installation Methods 0.000 claims description 6
- 238000010926 purge Methods 0.000 claims description 3
- 239000004071 soot Substances 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 238000003709 image segmentation Methods 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- BIGPRXCJEDHCLP-UHFFFAOYSA-N ammonium bisulfate Chemical compound [NH4+].OS([O-])(=O)=O BIGPRXCJEDHCLP-UHFFFAOYSA-N 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000003708 edge detection Methods 0.000 description 1
- 239000003546 flue gas Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/72—Investigating presence of flaws
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23J—REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES; FLUES
- F23J15/00—Arrangements of devices for treating smoke or fumes
- F23J15/06—Arrangements of devices for treating smoke or fumes of coolers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23L—SUPPLYING AIR OR NON-COMBUSTIBLE LIQUIDS OR GASES TO COMBUSTION APPARATUS IN GENERAL ; VALVES OR DAMPERS SPECIALLY ADAPTED FOR CONTROLLING AIR SUPPLY OR DRAUGHT IN COMBUSTION APPARATUS; INDUCING DRAUGHT IN COMBUSTION APPARATUS; TOPS FOR CHIMNEYS OR VENTILATING SHAFTS; TERMINALS FOR FLUES
- F23L15/00—Heating of air supplied for combustion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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Abstract
The application provides a visual monitoring method for dust accumulation of an air preheater, which comprises the following steps: step S1: two infrared detection imaging devices are respectively arranged at the cold and hot ends of the primary air side of the air preheater; step S2: performing median filtering pretreatment on the air preheater running state image; step S3: dividing the abnormal area of the preprocessed air preheater running state image to obtain a characteristic abnormal area; step S4: establishing a two-dimensional coordinate system XOZ plane; step S5: dividing a plurality of concentric arcs on the air preheater running state image in equal parts according to the proportional relation between the fixed position reference window and the fan-shaped area of the infrared detection imaging device, and determining the coordinates of the characteristic abnormal area based on the proportional relation between the infrared image and the real running of the air preheater. The acquired infrared image is analyzed through median filtering pretreatment and an improved region growing algorithm, and the acquired infrared image is analyzed, so that the real-time dust accumulation condition of the air preheater can be obtained, and the accuracy of dust accumulation monitoring of the air preheater is improved.
Description
Technical Field
The application relates to the technical field of air preheater monitoring, in particular to an air preheater dust deposition visual monitoring method.
Background
The air preheater is heat exchange equipment for heating air by utilizing the heat of the exhausted smoke of the boiler, so that the temperature of the exhausted smoke of the boiler can be effectively reduced, and the efficiency of the boiler is improved. At present, rotary air preheaters are widely adopted in all power stations, the air preheaters are easy to generate ash accumulation, and especially in recent years, ammonia bisulfate generated in the denitration process further aggravates the problem along with the completion of the reconstruction of a denitration system of all plants, thereby threatening the safe and economic operation of a unit. At present, a direct monitoring means for the ash accumulation state of the air preheater is lacking, the pressure difference side surface of an inlet and an outlet of the air preheater is often reflected, but the pressure difference is greatly affected by the flow of the flue gas, and when a unit is in a variable working condition operation, the pressure difference has great fluctuation and cannot show the change of the ash accumulation degree of the air preheater.
As the local temperature of the air preheater is abnormal once ash deposition occurs, the real-time monitoring of the overall temperature distribution of the air preheater by the thermal infrared imager is particularly important.
Disclosure of Invention
Therefore, the application mainly aims to solve the problem that the pressure difference has great fluctuation when the unit is in variable working condition operation, and the change of the ash accumulation degree of the air preheater cannot be accurately judged.
The application provides a visual monitoring method for dust accumulation of an air preheater, which comprises the following steps: step S1: two infrared detection imaging devices are respectively arranged at the cold and hot ends of the primary air side of the air preheater, wherein the observation area of the infrared detection imaging devices is the sector area of the primary air side of the air preheater; step S2: responding to the air preheater running state image captured by the infrared detection imaging device in real time, and performing median filtering pretreatment on the air preheater running state image to obtain a pretreated air preheater running state image; step S3: determining an abnormal area of the preprocessed air preheater running state image based on an improved area growth algorithm, and dividing the abnormal area of the preprocessed air preheater running state image to obtain a characteristic abnormal area, wherein the characteristic abnormal area is an air preheater dust accumulation area with abnormal local temperature; step S4: establishing a two-dimensional coordinate system XOZ plane, wherein an X axis is the central line direction of a fan-shaped area of a primary air bin, a Z axis is the central rotating shaft direction of the air preheater, the origin is the midpoint of the central rotating shaft of the air preheater, and a reference point is the installation position of the infrared detection imaging device; step S5: dividing a plurality of concentric arcs on the air preheater running state image in equal parts according to the proportional relation between the fixed position reference window and the fan-shaped area of the infrared detection imaging device, and determining the coordinates of the characteristic abnormal area based on the proportional relation between the infrared image and the real running of the air preheater.
In some embodiments of the present application, the determining the abnormal area of the pre-processed air preheater operation state image based on the improved region growing algorithm includes: traversing all areas of the preprocessed running state image of the air preheater according to an N multiplied by N sliding matrix, calculating the average value of all pixels in the sliding matrix, and selecting the central point of the area with the largest average value as a seed point, wherein the expression for calculating the average value of all pixels in the sliding matrix is as follows:wherein->To->Is the mean value of the matrix of intermediate pixels, < >>For the pixels within the matrix of pixels,for the size of the sliding matrix +.>The coordinates of the middle pixel point in a pixel coordinate system; starting the region growing based on the determined seed points, and judging whether the absolute value of the difference value between the pixel value of a certain pixel point in the growing region and the pixel value T of the grown region is smaller than a first preset threshold value K or not; if the pixel value of a pixel point in the growing area is equal to that of the grown areaIf the absolute value of the difference value of the pixel value T is smaller than a preset threshold value K, continuing to grow, otherwise stopping growing; when the pixel points grow to the image edge, judging whether the pixel gradient amplitude of a certain pixel point at the image edge is larger than a second preset threshold value or not; if the pixel gradient amplitude of the pixel point at the image edge is larger than the second preset threshold value, the pixel point at the image edge is the edge point.
In some embodiments of the present application, in step S1, the infrared detection imaging device includes an intermediate sleeve, one end of the intermediate sleeve passes through a fixing sleeve and is detachably connected with an end of the fixing sleeve, and the other end of the intermediate sleeve is detachably provided with an angle bracket through a bolt, wherein a first cavity is provided in the angle bracket, and the first cavity is communicated with the interior of the fixing sleeve; the sensor is detachably arranged on the angle bracket, a cooling jacket is sleeved on the outer wall of the sensor, the cooling jacket is clamped on the angle bracket, a second cavity is arranged in the cooling jacket, an open slot is formed in the end part of one side, away from the angle bracket, of the cooling jacket, and the open slot is communicated with the first cavity through the second cavity; and the infrared lens is fixedly arranged on the cooling jacket and is positioned between the open groove and the sensor, so that the air flow in the open groove can purge the infrared lens.
In some embodiments of the present application, in step S1, the infrared detection imaging device further includes a protective head cover sleeved on the cooling jacket, the protective head cover being detachably connected to the intermediate sleeve.
In some embodiments of the present application, in step S1, the infrared detection imaging device further includes a sensor lead connected to the sensor, an end of the sensor lead remote from the sensor passing through a wire sleeve disposed in the intermediate sleeve.
The application provides a visual monitoring method for dust accumulation of an air preheater, which adopts four infrared detection imaging devices to be respectively arranged at the cold and hot ends of the primary air side of the air preheater, and two infrared detection imaging devices are respectively arranged at each end, so that the whole fan-shaped area of the primary air side of the cold and hot ends of the air preheater can be monitored. Image data monitored in real time by the thermal infrared imager is transmitted to a computer through an RJ45 twisted pair, the acquired infrared image is analyzed by applying median filtering pretreatment and an improved region growing algorithm on the computer, and the acquired infrared image is analyzed, so that the real-time dust accumulation condition of the air preheater can be obtained, the accuracy of dust accumulation monitoring of the air preheater is effectively improved, and the guarantee is provided for the stable operation of the air preheater.
Drawings
FIG. 1 is a flow chart of a method for visually monitoring dust accumulation of an air preheater according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a thermal infrared imager according to an embodiment of the present application;
FIG. 3 is a flow chart of a method for visually monitoring the soot deposition of an air preheater according to an embodiment of the present application;
fig. 4 is a schematic diagram illustrating the positioning of an ash deposition area of an ash deposition visualization monitoring method of an air preheater according to an embodiment of the application.
FIG. 5 is an overall schematic diagram of an infrared detection imaging device according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a portion of an infrared detection imaging device according to an embodiment of the application;
FIG. 7 is a partial cross-sectional view of an infrared detection imaging device according to an embodiment of the present application;
wherein the above figures include the following reference numerals:
1. an angle bracket; 101. a first cavity; 2. protecting the head cover; 3. a sensor; 4. a fixed sleeve; 5. a wire sleeve; 6. a sensor lead; 7. an intermediate sleeve; 8. a cooling jacket; 801. a second cavity; 802. an open slot; 9. an infrared lens.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be noted that, for convenience of description, only the portions related to the present application are shown in the drawings. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
Referring to fig. 1, a flowchart of a method for visually monitoring dust accumulation in an air preheater according to the present application is shown.
As shown in fig. 1, in step S1, two infrared detection imaging devices are respectively installed at the cold and hot ends of the primary air side of the air preheater, wherein the observation area of the infrared detection imaging devices is the sector area of the primary air side of the air preheater;
in step S2: responding to the air preheater running state image captured by the infrared detection imaging device in real time, and performing median filtering pretreatment on the air preheater running state image to obtain a pretreated air preheater running state image;
in step S3: determining an abnormal area of the preprocessed air preheater running state image based on an improved area growth algorithm, and dividing the abnormal area of the preprocessed air preheater running state image to obtain a characteristic abnormal area, wherein the characteristic abnormal area is an air preheater dust accumulation area with abnormal local temperature;
in step S4: establishing a two-dimensional coordinate system XOZ plane, wherein an X axis is the central line direction of a fan-shaped area of a primary air bin, a Z axis is the central rotating shaft direction of the air preheater, the origin is the midpoint of the central rotating shaft of the air preheater, and a reference point is the installation position of the infrared detection imaging device;
in step S5: dividing a plurality of concentric arcs on the air preheater running state image in equal parts according to the proportional relation between the fixed position reference window and the fan-shaped area of the infrared detection imaging device, and determining the coordinates of the characteristic abnormal area based on the proportional relation between the infrared image and the real running of the air preheater.
In the method of the embodiment, after the seed points are automatically selected, the acquired running state image of the air preheater is segmented to obtain the characteristic abnormal region, so that the real-time dust accumulation condition of the air preheater can be obtained, the accuracy of dust accumulation monitoring of the air preheater is effectively improved, the stable running of the air preheater is ensured, the radial distance and the axial distance of the dust accumulation part from the midpoint of the air preheater are considered, the three-dimensional coordinates are simplified into two-dimensional coordinates, and the coordinates of the dust accumulation region are determined by utilizing the proportional relation between the infrared image and the real running of the air preheater.
In a specific embodiment, the method for visually monitoring the dust accumulation of the air preheater provided by the application comprises the following steps of:
step 1: two infrared detection imaging devices are respectively arranged at the cold and hot ends of the primary air side of the air preheater, and the installation position can be determined according to the field angle, the focal length and the object distance of the thermal imager. The sector area of the primary air side of the air preheater is the area to be observed by the thermal infrared imager, namely the installation position is required to ensure that the observation area meets the requirements (as shown in figure 2).
Step 2: the infrared detection imaging device captures the running state of the air preheater in real time, the shot infrared image is transmitted to the computer through the RJ45 twisted pair, and the input infrared image is processed on the computer by utilizing an image processing algorithm, specifically as follows:
step 2.1: carrying out median filtering pretreatment on an input infrared image, carrying out statistical sequencing on a rectangular window, and taking the median value of gray values of neighbor pixels in the window to replace the pixel value of a window center point, namely:
in the method, in the process of the application,for median filter function, +.>For median filter function, +.>For the pixel value at the (s, t) position +.>Is the center point at (x, y);
for a size ofRectangular graphic window>The pixel points in the array are ordered, and the gray value of the median pixel point is taken to replace the center point +.>Is a pixel value of (a).
Step 2.2: the region with abnormal characteristics in the infrared image is segmented by an image segmentation algorithm based on the region, namely the region reflecting the dust accumulation of the air preheater, because the temperature distribution of the normal operation of the air preheater is continuous, once the dust accumulation occurs, the local temperature is abnormal, and the region can be segmented by utilizing the characteristic of abnormal temperature.
Step 2.3: when the algorithm is executed, firstly, a pixel point is selected from the area to be grown as a seed point for growth, then, the area around the seed point is grown according to a predefined growth standard, some characteristics of adjacent pixels are compared with the seed pixel, if the growth condition is met, the pixels are combined into the area where the seed pixel is located, the new pixel point is used as the seed point for growth, the process is repeatedly executed until no new pixel point meets the condition, and the growth is stopped, so that a growth area is formed (as shown in fig. 3).
When a plurality of abnormal areas are formed, only one pixel point is added to the area to be grown to serve as a growth seed point. Using oneTraversing all interested areas, calculating the average value of all pixels in the sliding matrix, selecting the center point of the area with the largest average value as a seed point, and realizing the automatic selection of the seed point. The area pixel mean value is calculated as follows:
，
in the method, in the process of the application,to->Is the mean value of the matrix of intermediate pixels, < >>For pixels in the matrix +.>For the size of the sliding matrix +.>The coordinates of the middle pixel point in a pixel coordinate system;
and after the seed points are determined, starting the region growth, and determining the region growth conditions. Let the region of interest of the image be R, the number of pixel points be n, then the calculation formula of the gray average value m is:
；
pixel points to be judged in the region of interestComparing with the pixel mean value T of the grown region, if the absolute value of the pixel difference value is smaller than the threshold value K, the growth condition is satisfied, < ->Continuing to grow as a new seed point, otherwise, stopping growing:
when the seed point grows to the edge, the gray value of the edge is greatly changed, and if the seed point grows continuously according to the growth condition, over-segmentation or wrong segmentation can be caused. To avoid this, the present application employs a gradient-based edge detection operator to detect edges. Since the edge gray value varies greatly, the gradient amplitude of the pixel at the edge is large, and if the gradient amplitude is larger than a predetermined threshold value, the point is determined as an edge point. The gradient of the pixel points in the image is as follows:
；
in the method, in the process of the application,is a pixel point in the infrared image, < >>Is the directional derivative in the x direction of the pixel, < >>Is the directional derivative in the y direction of the pixel, < >>、/>The unit vectors in the x, y directions, respectively.
The magnitude of the gradient is defined asThe method comprises the following steps:
the edge point determination condition is:
in the method, in the process of the application,for the gradient magnitude of the current seed point, +.>Gradient magnitude for the previous seed point, +.>Is a threshold value.
After the target area is determined according to the image segmentation algorithm, the accurate position of the target area is determined by using the gray area positioning algorithm (as shown in fig. 4).
Step 3: the abnormal region segmented from the infrared image can be used for establishing a radial and axial two-dimensional coordinate system XOZ plane by using the midpoint of the central rotating shaft of the air preheater as an origin, wherein the radial direction is the X-axis direction, the axial direction is the Z-axis direction, and the central line of the fan-shaped region of the primary air bin is set as the X-axis.
Step 4: and equally dividing a plurality of concentric arcs on the infrared image according to the proportional relation between the reference window at the fixed position of the thermal infrared imager and the fan-shaped area. The concentric arc line is divided and the X and Z axes are determined, so that the gray deposition area can only need to measure the coordinates of the central rotating shaft in the XZ two directions, and the three-dimensional space coordinates are converted into two-dimensional plane coordinates by utilizing the self-rotation characteristic of the air preheater.
Step 5: and determining the coordinates of the dust accumulation area by utilizing the proportional relation between the infrared image and the real operation of the air preheater.
Referring to fig. 5-7, an infrared detection imaging device provided by the present application includes: the middle sleeve 7, one end of the middle sleeve 7 passes through the fixed sleeve 4 to be detachably connected with the end part of the fixed sleeve 4, the other end of the middle sleeve 7 is detachably provided with the angle bracket 1 through a bolt, wherein a first cavity 101 is arranged in the angle bracket 1, and the first cavity 101 is communicated with the inside of the fixed sleeve 4; the sensor 3 is detachably arranged on the angle bracket 1, a cooling jacket 8 is sleeved on the outer wall of the sensor 3, the cooling jacket 8 is clamped on the angle bracket 1, a second cavity 801 is arranged in the cooling jacket 8, an open slot 802 is formed in the end part of one side, away from the angle bracket 1, of the cooling jacket 8, and the open slot 802 is communicated with the first cavity 101 through the second cavity 801; the infrared lens 9 is fixedly arranged on the cooling jacket 8, and the infrared lens 9 is positioned between the open groove 802 and the sensor 3, so that the air flow in the open groove 802 can purge the infrared lens 9.
By applying the technical scheme of the embodiment, the sensor 3 is fixedly arranged on the angle bracket 1, so that the vertical included angle between the sensor 3 and the wall of the air preheater can be reduced, the installation is convenient, and the visual range of the sensor 3 can be adjusted by rotating the middle sleeve 7 arranged in the fixed sleeve 4. And the outside cover at sensor 3 is equipped with cooling jacket 8, and the second cavity 801 in the cooling jacket 8 communicates with the first cavity 101 in the angle support 1 for the air current can flow in from the second cavity 801, from the purpose that realizes cooling sensor 3.
The infrared lens 9 is fixedly installed on the cooling jacket 8, so that the sensor 3 can directly measure the external temperature through the infrared lens 9 and is thoroughly isolated from external air, the infrared lens 9 is positioned between the open slot 802 and the sensor 3, the open slot 802 is extended from the cooling jacket 8, cooling air flows out of the open slot 802 and finally flows to the outside, the air flow in the open slot 802 can continuously blow the infrared lens 9, dust accumulation is avoided, and self cleaning is realized.
In some alternative embodiments, the apparatus further comprises a protective hood 2 fitted over the cooling jacket 8, the protective hood 2 being detachably connected to the intermediate sleeve 7. By providing a protective hood 2, heat flow can be prevented from directly impinging on the sensor 3, reducing the heat transfer rate.
In some alternative embodiments, the device further comprises a sensor lead 6 connected to the sensor 3, the end of the sensor lead 6 remote from the sensor 3 passing through a wire sleeve 5 arranged in an intermediate sleeve 7.
What has been described above is merely some embodiments of the present application. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit of the application.
Claims (5)
1. The visual monitoring method for the dust deposit of the air preheater is characterized by comprising the following steps of:
step S1: two infrared detection imaging devices are respectively arranged at the cold and hot ends of the primary air side of the air preheater, wherein the observation area of the infrared detection imaging devices is the sector area of the primary air side of the air preheater;
step S2: responding to the air preheater running state image captured by the infrared detection imaging device in real time, and performing median filtering pretreatment on the air preheater running state image to obtain a pretreated air preheater running state image;
step S3: determining an abnormal area of the preprocessed air preheater running state image based on an improved area growth algorithm, and dividing the abnormal area of the preprocessed air preheater running state image to obtain a characteristic abnormal area, wherein the characteristic abnormal area is an air preheater dust accumulation area with abnormal local temperature;
step S4: establishing a two-dimensional coordinate system XOZ plane, wherein an X axis is the central line direction of a fan-shaped area of a primary air bin, a Z axis is the central rotating shaft direction of the air preheater, the origin is the midpoint of the central rotating shaft of the air preheater, and a reference point is the installation position of the infrared detection imaging device;
step S5: dividing a plurality of concentric arcs on the air preheater running state image in equal parts according to the proportional relation between the fixed position reference window and the fan-shaped area of the infrared detection imaging device, and determining the coordinates of the characteristic abnormal area based on the proportional relation between the infrared image and the real running of the air preheater.
2. The method for visually monitoring soot deposition of an air preheater according to claim 1, wherein the determining an abnormal area of the preprocessed air preheater operation state image based on the improved region growing algorithm comprises:
traversing all areas of the preprocessed running state image of the air preheater according to an N multiplied by N sliding matrix, calculating the average value of all pixels in the sliding matrix, and selecting the central point of the area with the largest average value as a seed point, wherein the expression for calculating the average value of all pixels in the sliding matrix is as follows:
，
in the method, in the process of the application,to->Is the mean value of the matrix of intermediate pixels, < >>For pixels in the matrix +.>For the size of the sliding matrix +.>The coordinates of the middle pixel point in a pixel coordinate system;
starting the region growing based on the determined seed points, and judging whether the absolute value of the difference value between the pixel value of a certain pixel point in the growing region and the pixel value T of the grown region is smaller than a first preset threshold value K or not;
if the absolute value of the difference value between the pixel value of a certain pixel point in the growing area and the pixel value T of the grown area is smaller than a preset threshold value K, continuing growing, otherwise stopping growing;
when the pixel points grow to the image edge, judging whether the pixel gradient amplitude of a certain pixel point at the image edge is larger than a second preset threshold value or not;
if the pixel gradient amplitude of the pixel point at the image edge is larger than the second preset threshold value, the pixel point at the image edge is the edge point.
3. The visual monitoring method of the dust accumulation of the air preheater according to claim 1, wherein in the step S1, the infrared detection imaging device comprises an intermediate sleeve (7), one end of the intermediate sleeve (7) penetrates through a fixed sleeve (4) to be detachably connected with the end part of the fixed sleeve (4), the other end of the intermediate sleeve (7) is detachably provided with an angle bracket (1) through a bolt, wherein a first cavity (101) is arranged inside the angle bracket (1), and the first cavity (101) is communicated with the inside of the fixed sleeve (4);
the sensor (3) is detachably arranged on the angle bracket (1), a cooling jacket (8) is sleeved on the outer wall of the sensor (3), the cooling jacket (8) is clamped on the angle bracket (1), a second cavity (801) is arranged in the cooling jacket (8), an open slot (802) is formed in the end part, away from one side of the angle bracket (1), of the cooling jacket (8), and the open slot (802) is communicated with the first cavity (101) through the second cavity (801); and
an infrared lens (9) fixedly mounted on the cooling jacket (8), wherein the infrared lens (9) is positioned between the open groove (802) and the sensor (3), so that the air flow in the open groove (802) can purge the infrared lens (9).
4. A method of visual monitoring of soot deposition on an air preheater according to claim 3, wherein in step S1, the infrared detection imaging device further comprises a protective head cover (2) fitted over the cooling jacket (8), the protective head cover (2) being detachably connected to the intermediate sleeve (7).
5. A method according to claim 3, characterized in that in step S1 the infrared detection imaging device further comprises a sensor lead (6) connected to the sensor (3), the end of the sensor lead (6) remote from the sensor (3) passing through a wire sleeve (5) arranged in the intermediate sleeve (7).
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