CN117053925A - Infrared thermal imaging instrument type selection method for monitoring carbon brush of generator - Google Patents
Infrared thermal imaging instrument type selection method for monitoring carbon brush of generator Download PDFInfo
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- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 63
- 238000012544 monitoring process Methods 0.000 title claims abstract description 33
- 238000010187 selection method Methods 0.000 title claims abstract description 21
- 238000001931 thermography Methods 0.000 title description 5
- 238000003384 imaging method Methods 0.000 claims abstract description 107
- 230000000694 effects Effects 0.000 claims abstract description 33
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 16
- 238000012360 testing method Methods 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- 230000007613 environmental effect Effects 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 description 11
- 238000000034 method Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
- G01J5/0205—Mechanical elements; Supports for optical elements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/90—Testing, inspecting or checking operation of radiation pyrometers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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Abstract
The invention discloses a type selection method of an infrared thermal imager for monitoring a carbon brush of a generator, and relates to the technical field of carbon brush monitoring of generators. According to the infrared thermal imager type selection method, parameters such as the temperature measurement range, the minimum imaging distance, the minimum field angle, the resolution, the number of pixels and temperature measuring frames of the infrared thermal imager are determined, and a worker can select the type of the infrared thermal imager for monitoring the carbon brush of the generator according to the determined parameters. The handheld infrared thermal imager is used for monitoring the carbon brush, the imaging effect is tested under the condition of different imaging distances, the maximum imaging distance under the premise of good imaging effect is screened, the minimum unit area pixel of the infrared thermal imager is generated according to the maximum imaging distance, the imaging definition of the carbon brush is quantized, the comparability is enhanced, and the consistency of the imaging effect is facilitated.
Description
Technical Field
The invention relates to the technical field of carbon brush monitoring of generators, in particular to a type selection method of an infrared thermal imager for carbon brush monitoring of a generator.
Background
The excitation carbon brush and the collecting ring in the carbon brush chamber of the generator are important parts of the generator, and are key parts for contacting a rotating part and a static part, so that the key parts are important points of daily inspection and operation maintenance, and once abnormality and fault occur, the abnormality and the fault are easy to evolve and deteriorate, and even the generator set is not stopped.
According to the requirements of a generator operation and maintenance manual, a power station operation and maintenance personnel needs to hold an infrared thermal imager every day to detect and record carbon brush temperatures, regularly detect the current of each carbon brush, and carry out operation and maintenance operation by analyzing and judging detection data. According to the practical operation and maintenance experience of the same power station, the inspection work of the carbon brush room is repeatedly complicated, and the manual temperature measurement operation is quite inconvenient due to the reasons of the large number of carbon brushes, the higher bottom frame of the brush frame, the obstruction of peripheral pipelines and the like, so that the top area is difficult to reach, the personnel and unit operation safety needs to be noted, and the discontinuous manual detection mode has the risk of incapability of finding faults in time. The existing nuclear power stations at home and abroad generate unplanned shutdown and shutdown caused by faults of the excitation carbon brush and the collecting ring.
Therefore, the carbon brush chamber on-line monitoring system is designed and configured, and important operation parameters and states of the carbon brush chamber are monitored in real time on the premise of not affecting the safety of a unit by adopting non-contact measurement technologies such as infrared, visible light and light sensitivity. When the carbon brush chamber on-line monitoring system is designed and configured, the problem of type selection of the infrared thermal imaging instrument exists, and the final presentation effect of the whole system is critically affected.
The type selection of the infrared thermal imaging instrument commonly used at present is carried out from the following aspects:
1. matching the temperature measurement range. And determining the temperature change range of the actual measured component, and selecting an infrared thermal imager which can be covered by the temperature measurement range.
2. Matching the minimum imaging distance. And determining the imaging distance between the measured component and the infrared thermal imager positioning, and selecting the infrared thermal imager with the minimum imaging distance smaller than the imaging distance.
3. Matching the minimum field angle. And according to the positioning of the infrared thermal imagers, determining the field angles of the actually measured component in the horizontal direction and the vertical direction, and selecting the infrared thermal imagers with the minimum field angles matched with each other.
4. Matching resolution and pixels. The resolution of the infrared thermal imager is selected empirically, the higher the resolution is, the clearer the imaging is, and no clear standard exists.
5. The number of temperature measuring frames, focusing mode, precision and the like are selected according to specific requirements.
The thermal infrared imager has the following problems: for the key parameters of resolution and pixels, the resolution and pixels are selected empirically, and no clear standard exists, so that consistency and reliability of imaging effects are not facilitated; in addition, the type selection process of the infrared thermal imager is not standardized, and the type selection efficiency is low.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention discloses a type selection method of an infrared thermal imager for monitoring a carbon brush of a generator. The invention adopts the handheld infrared thermal imager to monitor the carbon brush, tests the imaging effect under the condition of different imaging distances, screens the maximum imaging distance under the premise of good imaging effect, and generates the minimum unit area pixel of the infrared thermal imager according to the maximum imaging distance; and determining the resolution and minimum pixel requirements of the thermal infrared imager according to the minimum unit area pixel of the thermal infrared imager. The carbon brush imaging definition (unit area pixels) is quantized, so that the comparability is enhanced, and the consistency of imaging effects is facilitated; the test and calculation method is provided for the minimum unit area pixel with good imaging effect, and an experience value is provided, so that the reliability of the final imaging effect is ensured; the model selecting process of the infrared thermal imager for monitoring the carbon brush of the generator is standardized, and the model selecting efficiency is improved.
In order to achieve the above purpose, the present invention adopts the technical scheme that:
the infrared thermal imager model selection method for the carbon brush monitoring of the generator comprises a required mathematical modeling step, a temperature measurement range determining step, a minimum imaging distance determining step, a minimum field angle determining step, a minimum unit area pixel determining step, a resolution and pixel determining step, a temperature measuring frame number determining step, other parameter determining step and an infrared thermal imager model selection step, and specifically comprises the following steps of:
1. demand mathematical modeling
The demand mathematical modeling step is used for carrying out mathematical modeling on the demand of the infrared thermal imager for model selection, and determining the required imaging distance, the required horizontal viewing angle and the required vertical viewing angle for monitoring of the infrared thermal imager according to the modeled model;
preferably, the demand mathematical modeling step includes:
determining the positioning of the infrared thermal imager, the monitored carbon brush positioning and the carbon brush space distribution range;
and determining the required imaging distance, the required horizontal viewing angle and the required vertical viewing angle for monitoring by the infrared thermal imager according to the determined positioning and spatial distribution range.
In the above-mentioned demand mathematical modeling step, the demand mathematical modeling operation is performed, including: (1) And determining the positioning of the infrared thermal imager and the monitored carbon brush positioning and carbon brush space distribution range. (2) And measuring or calculating to obtain the imaging distance D, the horizontal visual angle a and the vertical visual angle b required by the infrared thermal imager monitoring.
2. Temperature measurement range determination
The temperature measurement range determining step is used for determining the temperature measurement range of the infrared thermal imager when the infrared thermal imager covers the working temperature and the environmental temperature range according to the working temperature of the carbon brush of the generator and the environmental temperature range;
in the above temperature measurement range determining step, the requirement of the thermal infrared imager parameter "temperature measurement range" that can be covered is determined according to the working temperature of the carbon brush and the ambient temperature range.
3. Minimum imaging distance determination
The minimum imaging distance determining step is used for determining the minimum imaging distance of the thermal infrared imager according to the principle that the minimum imaging distance is smaller than the required imaging distance and combining the required imaging distance determined in the required mathematical modeling step;
in the minimum imaging distance determining step, the requirement of the thermal infrared imager parameter 'minimum imaging distance' is determined according to the principle that the minimum imaging distance is smaller than the required imaging distance D.
4. Minimum field angle determination
The minimum field angle determining step is used for determining the minimum field angle of the infrared thermal imager by utilizing the required horizontal visual angle and the required vertical visual angle determined in the required mathematical modeling step;
preferably, in the minimum view angle determining step, the minimum view angle includes a minimum horizontal view angle and a minimum vertical view angle, wherein: the required horizontal viewing angle < minimum horizontal viewing angle <1.2 required horizontal viewing angle, and the required vertical viewing angle < minimum vertical viewing angle <1.2 required vertical viewing angle.
In the minimum view angle determining step, the requirement of the thermal infrared imager parameter 'minimum view angle (horizontal view angle A and vertical view angle B') is determined according to the required horizontal view angle a and vertical view angle B. The recommended requirements here are: a < horizontal viewing angle a <1.2a, B < vertical viewing angle B <1.2B.
5. Minimum unit area pixel determination
The minimum unit area pixel determining step is to monitor a carbon brush by adopting a handheld infrared thermal imager, test imaging effects under the condition of different imaging distances, screen the maximum imaging distance under the premise of good imaging effects, and generate the minimum unit area pixel of the infrared thermal imager according to the maximum imaging distance;
preferably, the minimum unit area pixel determining step includes:
obtaining a monitorable coverage area of the hand-held infrared thermal imager by utilizing the screened maximum imaging distance under the premise of good imaging effect;
the monitorable coverage area of the handheld thermal infrared imager is as follows:
wherein S is 1max To monitor coverage area X max For the maximum imaging distance, a is the horizontal viewing angle and B is the vertical viewing angle.
And obtaining the minimum unit area pixel of the handheld infrared thermal imager according to the monitorable coverage area of the handheld infrared thermal imager.
The minimum unit area pixel of the handheld infrared thermal imager is as follows:
wherein θ 0min Is the pixel with the minimum unit area, alpha 1 ×β 1 For resolution and pixel, S 1max To monitor the coverage area.
Preferably, in the minimum unit area pixel determining step, the minimum unit area pixel of the thermal infrared imager is 0.1.
In the minimum unit area pixel determining step, a generator field personnel monitors a carbon brush by adopting a handheld infrared thermal imager, and tests imaging effects under the condition of different imaging distances X to obtain the maximum imaging distance X under the premise of good imaging effects max . The parameters of the hand-held infrared thermal imager are as follows: minimum field angle (horizontal view a, vertical view B), resolution and pixel (α) 1 ×β 1 ). According to this, calculation processing is performed.
Calculating to obtain a monitorable coverage area S of the handheld thermal infrared imager 1 ：
Calculating unit area pixel theta of handheld infrared thermal imager 0 ：
Unit area pixel theta 0 The pixels representing the unit monitoring coverage area of the handheld infrared thermal imager can represent the final imaging definition of each carbon brush of the generator.
Maximum imaging distance under the premise of good imaging effect Xmax With the calculation, the minimum unit area pixel theta with good imaging effect can be obtained 0min . Empirically, the minimum unit area pixel θ 0min Generally about 0.1.
6. Resolution and pixel determination
The resolution and pixel determining step is used for determining the resolution and minimum pixel requirements of the infrared thermal imager according to the minimum unit area pixels of the infrared thermal imager determined in the minimum unit area pixel determining step;
preferably, in the resolution and pixel determining step, a maximum monitorable coverage area of the infrared thermal imager meeting the requirement of the field angle is calculated, and the lowest resolution and pixels of the infrared thermal imager are obtained according to the maximum monitorable coverage area and the minimum unit area pixels.
Preferably, in the resolution and pixel determining step, the maximum monitorable coverage area of the thermal infrared imager is:
wherein S is 2 For maximum monitorable coverage, D is the required imaging distance, a is the required horizontal viewing angle, and b is the required vertical viewing angle.
Preferably, in the resolution and pixel determining step, the lowest resolution and pixel of the thermal infrared imager are:
wherein (alpha X beta) min For the lowest resolution and pixel, θ 0min Is a minimum unit area pixel, S 2 Is the maximum monitorable coverage area.
In the resolution and pixel determination step, the minimum unit area pixel θ calculated in the minimum unit area pixel determination step is used 0min The minimum requirements for the thermal infrared imager parameters "resolution and pixels" are determined.
The calculation process is as follows: firstly, calculating the maximum monitorable coverage area S of the infrared thermal imager meeting the requirement of the angle of view 2 And calculating to obtain the lowest resolution and pixels of the thermal infrared imager. According to the calculation, the requirements for determining the parameters of the infrared thermal imager, namely resolution and pixels, are as follows:。
7. determination of the number of temperature measuring frames
The temperature measuring frame number determining step is used for determining the temperature measuring frame number of the infrared thermal imager according to the number of carbon brushes actually required to be measured;
preferably, in the step of determining the number of temperature measuring frames, the number of the temperature measuring frames of the infrared thermal imager is greater than or equal to the number of carbon brushes actually required to be measured.
In the step of determining the number of the temperature measuring frames, the requirement of the infrared thermal imager parameter 'the number of the temperature measuring frames' is determined according to the number of carbon brushes actually required to be measured. The number of the temperature measuring frames is larger than or equal to the number of carbon brushes actually required to be measured.
8. Other parameter determination
The other parameter determining step is used for determining other parameters of the infrared thermal imager;
preferably, in the step of determining the other parameters, the other parameters include focusing mode and accuracy.
In the step of determining the other parameters, other parameters such as focusing mode, precision and the like are required correspondingly according to specific requirements.
9. Infrared thermal imaging instrument selection
And the thermal infrared imager model selection step is to select the thermal infrared imager model meeting the requirements according to the determined temperature measurement range, the minimum imaging distance, the minimum field angle, the resolution, the pixels, the number of temperature measuring frames and other parameters.
The invention has the beneficial effects that:
according to the infrared thermal imager type selection method for the generator carbon brush monitoring, parameters such as the temperature measurement range, the minimum imaging distance, the minimum field angle, the resolution, the number of pixels and the temperature measuring frames of the infrared thermal imager are determined, and a worker can select the type of the infrared thermal imager for the generator carbon brush monitoring according to the determined parameters.
According to the infrared thermal imager type selection method for monitoring the carbon brush of the generator, the handheld infrared thermal imager is adopted to monitor the carbon brush, imaging effects are tested under the condition of different imaging distances, the maximum imaging distance under the premise of good imaging effects is screened, the minimum unit area pixel of the infrared thermal imager is generated according to the maximum imaging distance, imaging definition ("unit area pixel") of the carbon brush is quantized, comparability is enhanced, and consistency of imaging effects is facilitated.
The infrared thermal imager type selection method for the carbon brush monitoring of the generator provided by the invention provides a test and calculation method for the minimum unit area pixel which ensures good imaging effect, provides an empirical value and ensures the reliability of the final imaging effect.
Drawings
FIG. 1 is a flow chart of a method for selecting a model by an infrared thermal imager for monitoring a carbon brush of a generator;
FIG. 2 is a schematic view of the imaging distance D and the vertical viewing angle b required for monitoring by the infrared thermal imager according to the present invention;
FIG. 3 is a schematic view of a horizontal view angle a required for monitoring the infrared thermal imager according to the present invention;
FIG. 4 shows a monitorable coverage area S of the infrared thermal imager of the present invention 1 Schematic diagram.
Detailed Description
The conception, specific structure, and technical effects produced by the present invention will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, features, and effects of the present invention.
Example 1
An infrared thermal imager type selection method for monitoring a carbon brush of a generator, as shown in fig. 1, comprises the following steps:
s1, carrying out mathematical modeling on the type selection requirement of the infrared thermal imager, and determining the required imaging distance, the required horizontal viewing angle and the required vertical viewing angle for monitoring of the infrared thermal imager according to the modeled type;
s2, according to the working temperature and the environment temperature range of the carbon brush of the generator, determining the temperature measuring range of the thermal infrared imager when the thermal infrared imager covers the working temperature and the environment temperature range;
s3, determining the minimum imaging distance of the thermal infrared imager according to the principle that the minimum imaging distance is smaller than the required imaging distance and combining the required imaging distance determined in the step S1;
s4, determining the minimum field angle of the infrared thermal imager by utilizing the required horizontal field angle and the required vertical field angle determined in the step S1;
s5, monitoring a carbon brush by using a handheld infrared thermal imager, testing imaging effects under the condition of different imaging distances, screening the maximum imaging distance under the premise of good imaging effects, and generating the minimum unit area pixel of the infrared thermal imager according to the maximum imaging distance;
s6, determining the resolution ratio and the minimum pixel requirement of the infrared thermal imager according to the minimum unit area pixel of the infrared thermal imager determined in the step S5;
s7, determining the number of temperature measuring frames of the infrared thermal imager according to the number of carbon brushes actually required to be measured;
s8, determining other parameters of the infrared thermal imager;
s9, selecting the infrared thermal imager model meeting the requirements according to the determined temperature measurement range, the minimum imaging distance, the minimum field angle, the resolution, the pixels, the number of temperature measuring frames and other parameters.
Example 2
This embodiment is further described on the basis of embodiment 1, and as shown in fig. 1, in step S1, the requirement mathematical modeling work is performed, including: (1) And determining the positioning of the infrared thermal imager and the monitored carbon brush positioning and carbon brush space distribution range. (2) The imaging distance D, the horizontal viewing angle a and the vertical viewing angle b required for monitoring the infrared thermal imager are measured or calculated, as shown in fig. 2 and 3.
And S2, determining the requirement of a temperature measuring range of the parameters of the thermal infrared imager which can be covered according to the working temperature of the carbon brush and the environmental temperature range.
And S3, determining the requirement of the thermal infrared imager parameter 'minimum imaging distance' according to the principle that the minimum imaging distance is smaller than the required imaging distance D.
In the step S4, the requirement of the thermal infrared imager parameter 'minimum field angle (horizontal field angle A, vertical field angle B') is determined according to the required horizontal field angle a, vertical field angle B. The recommended requirements here are: a < horizontal viewing angle a <1.2a, B < vertical viewing angle B <1.2B.
Example 3
The embodiment is further described on the basis of embodiment 2, in step S5, a power generator field personnel monitors a carbon brush by using a handheld infrared thermal imager, and tests imaging effects under the condition of different imaging distances X to obtain a maximum imaging distance X under the premise of good imaging effects max . The parameters of the hand-held infrared thermal imager are as follows: minimum field angle (horizontal view a, vertical view B), resolution and pixel (α) 1 ×β 1 ). According to this, the calculation process is performed as shown in fig. 4.
Calculating to obtain a monitorable coverage area S of the handheld thermal infrared imager 1 ：
Calculating unit area pixel theta of handheld infrared thermal imager 0 ：
Unit area pixel theta 0 The pixels representing the unit monitoring coverage area of the handheld infrared thermal imager can represent the final imaging definition of each carbon brush of the generator.
Maximum imaging distance under the premise of good imaging effect Xmax With the calculation, the minimum unit area pixel theta with good imaging effect can be obtained 0min . Empirically, the minimum unit area pixel θ 0min Generally about 0.1.
Example 4
This embodiment is further described on the basis of embodiment 3, wherein in step S6, the minimum unit area pixel θ calculated in step S5 is used 0min The minimum requirements for the thermal infrared imager parameters "resolution and pixels" are determined. The calculation process is as follows:
calculating the maximum monitorable coverage area S of the infrared thermal imager meeting the requirement of the angle of view 2 ：
The lowest resolution and pixels of the infrared thermal imager are obtained through calculation:
according to the calculation, the requirements for determining the parameters of the infrared thermal imager, namely resolution and pixels, are as follows:。
example 5
The embodiment is further described on the basis of embodiment 4, and in step S7, the requirement of the thermal infrared imager parameter "the number of temperature measuring frames" is determined according to the number of carbon brushes actually required to be measured. The number of the temperature measuring frames is larger than or equal to the number of carbon brushes actually required to be measured.
In the step S8, other parameters such as focusing mode, precision and the like are required correspondingly according to specific requirements.
According to the embodiment, parameters such as a temperature measurement range, a minimum imaging distance, a minimum field angle, resolution, pixels, the number of temperature measuring frames, a focusing mode and precision of the infrared thermal imager are determined, and a worker can select the infrared thermal imager for monitoring the carbon brush of the generator according to the determined parameters so as to improve the type selection efficiency of the infrared thermal imager.
While the embodiments of the present invention have been described in detail, the present invention is not limited to the embodiments described above, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present invention, and these are intended to be included in the scope of the present invention as defined in the appended claims.
Claims (10)
1. The infrared thermal imager type selection method for monitoring the carbon brush of the generator is characterized by comprising the following steps of:
a demand mathematical modeling step: mathematical modeling is carried out on the type selection requirement of the infrared thermal imager, and the required imaging distance, the required horizontal visual angle and the required vertical visual angle of the infrared thermal imager are monitored according to the modeling type;
a temperature measurement range determining step: according to the working temperature and the environmental temperature range of the carbon brush of the generator, determining the temperature measuring range of the infrared thermal imager when the infrared thermal imager covers the working temperature and the environmental temperature range;
a minimum imaging distance determining step: determining the minimum imaging distance of the thermal infrared imager according to the principle that the minimum imaging distance is smaller than the required imaging distance and combining the required imaging distance determined by the required mathematical modeling step;
a minimum field angle determining step: determining a minimum field angle of the infrared thermal imager by using the required horizontal viewing angle and the required vertical viewing angle determined in the required mathematical modeling step;
a minimum unit area pixel determination step: monitoring a carbon brush by adopting a handheld thermal infrared imager, testing imaging effects under the condition of different imaging distances, screening the maximum imaging distance under the premise of good imaging effects, and generating the minimum unit area pixel of the thermal infrared imager according to the maximum imaging distance;
resolution and pixel determination: determining the resolution and the minimum pixel requirement of the infrared thermal imager according to the minimum unit area pixel of the infrared thermal imager determined in the minimum unit area pixel determining step;
determining the number of temperature measuring frames: determining the number of temperature measuring frames of the infrared thermal imager according to the number of carbon brushes actually required to be measured;
other parameter determination steps: determining other parameters of the infrared thermal imager;
and selecting the type of the infrared thermal imager: and selecting the infrared thermal imager model meeting the requirements according to the determined temperature measurement range, the minimum imaging distance, the minimum field angle, the resolution, pixels, the number of temperature measuring frames and other parameters.
2. The thermal infrared imager selection method of claim 1, wherein the demand mathematical modeling step comprises:
determining the positioning of the infrared thermal imager, the monitored carbon brush positioning and the carbon brush space distribution range;
and determining the required imaging distance, the required horizontal viewing angle and the required vertical viewing angle for monitoring by the infrared thermal imager according to the determined positioning and spatial distribution range.
3. The thermal infrared imager selection method of claim 1, wherein in the minimum field angle determination step, the minimum field angle includes a minimum horizontal viewing angle and a minimum vertical viewing angle, wherein: the required horizontal viewing angle < minimum horizontal viewing angle <1.2 required horizontal viewing angle, and the required vertical viewing angle < minimum vertical viewing angle <1.2 required vertical viewing angle.
4. The thermal infrared imager selection method of claim 1, wherein the minimum unit area pixel determination step comprises:
obtaining a monitorable coverage area of the hand-held infrared thermal imager by utilizing the screened maximum imaging distance under the premise of good imaging effect;
and obtaining the minimum unit area pixel of the handheld infrared thermal imager according to the monitorable coverage area of the handheld infrared thermal imager.
5. The thermal infrared imager selection method of claim 4, wherein the monitorable coverage area of the handheld thermal infrared imager is:
wherein S is 1max To monitor coverage area X max For the maximum imaging distance, a is the horizontal viewing angle and B is the vertical viewing angle.
6. The thermal infrared imager selection method of claim 5, wherein the minimum unit area pixels of the handheld thermal infrared imager are:
wherein θ 0min Is the pixel with the minimum unit area, alpha 1 ×β 1 For resolution and pixel, S 1max To monitor the coverage area.
7. The thermal infrared imager selection method of claim 1, wherein in the resolution and pixel determination step, a maximum monitorable coverage area of the thermal infrared imager meeting the field angle requirement is calculated, and a minimum resolution and pixels of the thermal infrared imager are obtained according to the maximum monitorable coverage area and the minimum unit area pixels.
8. The thermal infrared imager selection method of claim 7, wherein the thermal infrared imager has a maximum monitorable coverage area of:
wherein S is 2 For maximum monitorable coverage, D is the required imaging distance, a is the required horizontal viewing angle, and b is the required vertical viewing angle.
9. The thermal infrared imager selection method of claim 8, wherein the thermal infrared imager has a minimum resolution and pixels of:
wherein (alpha X beta) min For the lowest resolution and pixel, θ 0min Is a minimum unit area pixel, S 2 Is the maximum monitorable coverage area.
10. The infrared thermal imager type selection method according to claim 1, wherein in the temperature measuring frame number determination step, the number of the temperature measuring frames of the infrared thermal imager is greater than or equal to the number of carbon brushes actually required to be measured.
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